#Google Cloud Next 2025

[govindhtech]

FinOps Hub 2.0 Removes Cloud Waste With Smart Analytics

FinOps Hub 2.0

As Google Cloud customers used FinOps Hub 2.0 to optimise, business feedback increased. Businesses often lack clear insights into resource consumption, creating a blind spot. DevOps users have tools and utilisation indicators to identify waste.

The latest State of FinOps 2025 Report emphasises waste reduction and workload optimisation as FinOps priorities. If customers don't understand consumption, workloads and apps are hard to optimise. Why get a committed usage discount for computing cores you may not be using fully?

Using paid resources more efficiently is generally the easiest change customers can make. The improved FinOps Hub in 2025 focusses on cleaning up optimisation possibilities to help you find, highlight, and eliminate unnecessary spending.

Discover waste: FinOps Hub 2.0 now includes utilisation data to identify optimisation opportunities.

FinOps Hub 2.0 released at Google Cloud Next 2025 to highlight resource utilisation statistics to discover waste and take immediate action. Waste can be an overprovisioned virtual machine (VM) that is barely used at 5%, an underprovisioned GKE cluster that is running hot at 110% utilisation and may fail, or managed resources like Cloud Run instances that are configured suboptimally or never used.

FinOps users may now display the most expensive waste category in a single heatmap per service or AppHub application. FinOps Hub not only identifies waste but also delivers cost savings for Cloud Run, Compute Engine, Kubernetes Engine, and Cloud SQL.

Highlight waste: FinOps Hub uses Gemini Cloud Assist for optimisation and engineering.

The fact that it utilises Gemini Cloud Assist to speed up FinOps Hub's most time-consuming tasks may make this version a 2.0. Since January 2024 to January 2025, Gemini Cloud Assist has saved clients over 100,000 FinOps hours a year by providing customised cost reports and synthesising insights.

Google Cloud offered FinOps Hub two options to simplify and automate procedures using Gemini Cloud Assist. FinOps can now get embedded optimisation insights on the hub, such cost reports, so you don't have to find the optimisation "needle in the haystack". Second, Gemini Cloud Assist can now assemble and provide the most significant waste insights to your engineering teams for speedy fixes.

Eliminate waste: Give IT solution owners a NEW IAM role authorisation to view and act on optimisation opportunities.

Tech solution owners now have access to the billing panel, FinOps' most anticipated feature. This will display Gemini Cloud Assist and FinOps data for all projects in one window. With multi-project views in the billing console, you can give a department that only uses a subset of projects for their infrastructure access to FinOps Hub or cost reports without giving them more billing data while still letting them view all of their data in one view.

The new Project Billing Costs Manager IAM role (or granular permissions) provides multi-project views. Sign up for the private preview of these new permissions. With increased access limitations, you may fully utilise FinOps solutions across your firm.

“With clouds overgrown, like winter’s old grime, spring clean your servers, save dollars and time.” Clean your cloud infrastructure with FinOps Hub 2.0 and Gemini Cloud Assist this spring. Whatever, Gemini says so.

[onionpainter]

Professional Announcement for 2025

Hello everyone,

I am now being represented by a local gallery! My lack of posting on here has disguised a really huge amount of painting activity I have been embroiled in these past few months to build up an adequate amount of pictures to satisfy the gallery's monthly schedule.

So for the next 12 months [at least] I will be posting 2-3 paintings per month :)! Starting January 3rd.

I will be offering them for sale here too, so if there is a picture you are interested in you can DM me privately and I will get you in touch with my gallery and mail it out to you.

All prices will be listed in Canadian dollars [Note for US Americans: your dollar is worth about 1.41 Canadian dollars atm so if you're interested in a picture you can go on google and see how much less you'll actually be paying in USD]. The gallery also offers payment plans if it would be more convenient to split the payments up.

The paintings I will be offering for sale in January are these: Purple Cloud [not posted yet] 300cad Houston's beach 500cad The onion and garlic picture from this post, which I will photograph and post before the opening 900cad

>me when i still dont have prints. listen i know, i'm sorry, i am so slow on this. its just a matter of time, like literally i just have not had time to deal with that yet because im juggling painting and my illustration job and moving across the country. i will get the prints going at some point, i just dont want to do drop shipping because I can't control for quality in the drop shipping model and I cant bear the thought of a shitty reproduction. I will make a very visible announcement when I am ready to launch a print and I will be doing it like crowd funding pre-order style so that I won't have the risk of a bunch of prints that are unclaimed. it will happen at some point i prommy, i'm so sorry for the delay.

Hope u all have a nice rest of ur december and thank you so much for reading<3

[asp1990]

Day 20: Sunday January 19th, 2025 [Final Day]

Breakfast: konbini coffee & snacks

Lunch: dry aged wagyu steak meal set

Dinner: veggie teriyaki noodles

Steps: 14,621

Last day post! Deciding now to trek out to Nara was the best decision we could make. We woke up at 8:30am and had ample time to shower and negotiate our packing situation. Yet again, I was thankful for packing my mini suitcase inside my larger one as it allowed us a bit more grace in fitting in all of our goodies.

We checked out at 11am, left our luggage at the hotel, and went for a stroll through the Shinsaibashi shopping mall… again. We visited the Pokemon store… again. We then walked for 20 minutes to visit the Namba Yasuka Shrine, which is famous for its dragon head design. We took a few photos but the line to make an offering was huge, so we decided to get some lunch instead. A very quick visit!

We walked back towards Dontoburi for lunch - I’d found one last place off my list for us to try that Google suggested was “not as busy as usual” so we were hoping we wouldn’t have to queue. As soon as we lined up a waitress came and showed us a message on her phone that said “the queue is for 1 hour. We can guide you to our sister restaurant with a similar menu” so we said sure! We ended up a few doors down at a beautiful restaurant called Kitan Hibiki Yakiniku & Steak. We were seated upstairs where the grill round table was fully occupied, so we got to sit at the bar all by ourselves. We enjoyed two beautiful ‘dry aged wagyu steak meal sets’ that had steak over rice with egg, miso soup, pickled veg & soba noodles. Delicious! We enjoyed a long lunch and decided which last touristy thing to do. Morgan suggested karaoke or a maid cafe but both felt a bit off for the middle of the day on a Sunday. I suggested one more “sky high” view and Morgan agreed. I booked tickets through Klook and we caught the train to Harukas 300 Observatory.

Once out of the station we tried to follow signs to the observatory but it was very confusing! We got a lift up to the fourteenth floor and were confused again. We followed signs with a blue bear covered in clouds on it but that stopped suddenly. Infuriating! Finally we found the damn ticket desk and there was no queue, so we went right up. Phew!

The observation deck was beautiful and second highest to Tokyo Skytree that we visited at the start of our trip. The sun was shining bright and it was so hot we had to remove our coats. We could see the Donki Ferris wheel that we’d ridden and Osaka Castle in the distance. We stayed for about half an hour before needing to head off. We did some shopping (surprise, surprise - there was a mall underneath) for one more souvenir for Morgan’s mum that he’d struggled to find. We then caught the train back to our hotel. We collected our luggage, charged our phones and booked a taxi to the train station that was where our connecting train would be if we took PT the whole way. We were worried about taking bulky luggage on the subway during peak hour and wanted to be on the train as little as possible.

We got to the train station at 5:20pm and luckily it was a station with elevators. We went up to the platforms easily and accidentally boarded a pre-booked train with comfy seats and room for luggage. We sat down, heard the PA announcement say “please have your tickets ready to show the conductor” and promptly jumped off at the next station. Whoops! Luckily the correct train arrived 4 mins later and it wasn’t packed at all, so all anxiety about being an inconvenience was alleviated. It took 30 minutes to get to Kansai International Airport.

As soon as we walked through the doors to the international terminal it was chaos. No lines, no rules, and a whole lot of confused looking white people. Morgan hadn’t been able to print or download our boarding passes so we were already at a hurdle. It took ages to queue for luggage tags, the conveyer belts weren’t working and both our bags were overweight. It took us an hour to check in properly. When it was finally our turn, we were too tired to exit the line and reorganise our luggage, so we had to pay $124 for 8kg of excess. We then made it through security and customs without any issue and had time to have a final sake in the departure terminal before boarding.

Our flight was huge - 3 rows of 3 across and very full. I took a sleeping pill and hoped I’d be able to snooze during our 7hr flight. I sat between Morgan and an elderly woman, Elizabeth, from the States who was very ready for a chat when I was ready for a snooze. Thankfully we both dozed when the lights went off. The woman behind me incessantly poked me in the back when reaching things from her seat pocket, which was frustrating, but otherwise a smooth ride.

We arrived in Cairns at 6am. It was nice to be back in Aus. The customs guy made fun of my for filling out my declaration form in purple pen (it was the only one I had) but let it fly. Then on to Melbourne!

I had the most wonderful time in Japan with Morgan, but am desperately craving my own bed, clothes not from a suitcase, being able to cool, warmer weather & our cat. This was a trip of a lifetime though! 🇯🇵🍜⛩️

[this-week-in-rust]

This Week in Rust 593

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on X (formerly Twitter) or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Want TWIR in your inbox? Subscribe here.

Updates from Rust Community

Newsletters

The Embedded Rustacean Issue #42

This Week in Bevy - 2025-03-31

Project/Tooling Updates

Fjall 2.8

EtherCrab, the pure Rust EtherCAT MainDevice, version 0.6 released

A process for handling Rust code in the core kernel

api-version: axum middleware for header based version selection

SALT: a VS Code Extension, seeking participants in a study on Rust usabilty

Observations/Thoughts

Introducing Stringleton

Rust Any Part 3: Finally we have Upcasts

Towards fearless SIMD, 7 years later

LLDB's TypeSystems: An Unfinished Interface

Mutation Testing in Rust

Embedding shared objects in Rust

Rust Walkthroughs

Architecting and building medium-sized web services in Rust with Axum, SQLx and PostgreSQL

Solving the ABA Problem in Rust with Hazard Pointers

Building a CoAP application on Ariel OS

How to Optimize your Rust Program for Slowness: Write a Short Program That Finishes After the Universe Dies

Inside ScyllaDB Rust Driver 1.0: A Fully Async Shard-Aware CQL Driver Using Tokio

Building a search engine from scratch, in Rust: part 2

Introduction to Monoio: A High-Performance Rust Runtime

Getting started with Rust on Google Cloud

Miscellaneous

An AlphaStation's SROM

Real-World Verification of Software for Cryptographic Applications

Public mdBooks

[video] Networking in Bevy with ECS replication - Hennadii

[video] Intermediate Representations for Reactive Structures - Pete

Crate of the Week

This week's crate is candystore, a fast, persistent key-value store that does not require LSM or WALs.

Thanks to Tomer Filiba for the self-suggestion!

Please submit your suggestions and votes for next week!

Calls for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization.

If you are a feature implementer and would like your RFC to appear in this list, add a call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

No calls for testing were issued this week by Rust, Rust language RFCs or Rustup.

Let us know if you would like your feature to be tracked as a part of this list.

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

If you are a Rust project owner and are looking for contributors, please submit tasks here or through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

CFP - Events

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

* Rust Conf 2025 Call for Speakers | Closes 2025-04-29 11:59 PM PDT | Seattle, WA, US | 2025-09-02 - 2025-09-05

If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

Updates from the Rust Project

438 pull requests were merged in the last week

Compiler

allow defining opaques in statics and consts

avoid wrapping constant allocations in packed structs when not necessary

perform less decoding if it has the same syntax context

stabilize precise_capturing_in_traits

uplift clippy::invalid_null_ptr_usage lint as invalid_null_arguments

Library

allow spawning threads after TLS destruction

override PartialOrd methods for bool

simplify expansion for format_args!()

stabilize const_cell

Rustdoc

greatly simplify doctest parsing and information extraction

rearrange Item/ItemInner

Clippy

new lint: char_indices_as_byte_indices

add manual_dangling_ptr lint

respect #[expect] and #[allow] within function bodies for missing_panics_doc

do not make incomplete or invalid suggestions

do not warn about shadowing in a destructuring assigment

expand obfuscated_if_else to support {then(), then_some()}.unwrap_or_default()

fix the primary span of redundant_pub_crate when flagging nameless items

fix option_if_let_else suggestion when coercion requires explicit cast

fix unnested_or_patterns suggestion in let

make collapsible_if recognize the let_chains feature

make missing_const_for_fn operate on non-optimized MIR

more natural suggestions for cmp_owned

collapsible_if: prevent including preceeding whitespaces if line contains non blanks

properly handle expansion in single_match

validate paths in disallowed_* configurations

Rust-Analyzer

allow crate authors to control completion of their things

avoid relying on block_def_map() needlessly

fix debug sourceFileMap when using cppvsdbg

fix format_args lowering using wrong integer suffix

fix a bug in orphan rules calculation

fix panic in progress due to splitting unicode incorrectly

use medium durability for crate-graph changes, high for library source files

Rust Compiler Performance Triage

Positive week, with a lot of primary improvements and just a few secondary regressions. Single big regression got reverted.

Triage done by @panstromek. Revision range: 4510e86a..2ea33b59

Summary:

(instructions:u) mean range count Regressions ❌ (primary) - - 0 Regressions ❌ (secondary) 0.9% [0.2%, 1.5%] 17 Improvements ✅ (primary) -0.4% [-4.5%, -0.1%] 136 Improvements ✅ (secondary) -0.6% [-3.2%, -0.1%] 59 All ❌✅ (primary) -0.4% [-4.5%, -0.1%] 136

Full report here.

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

Tracking Issues & PRs

Rust

Tracking Issue for slice::array_chunks

Stabilize cfg_boolean_literals

Promise array::from_fn is generated in order of increasing indices

Stabilize repr128

Stabilize naked_functions

Fix missing const for inherent pointer replace methods

Rust RFCs

core::marker::NoCell in bounds (previously known an [sic] Freeze)

Cargo,

Stabilize automatic garbage collection.

Other Areas

No Items entered Final Comment Period this week for Language Team, Language Reference or Unsafe Code Guidelines.

Let us know if you would like your PRs, Tracking Issues or RFCs to be tracked as a part of this list.

New and Updated RFCs

Allow &&, ||, and ! in cfg

Upcoming Events

Rusty Events between 2025-04-02 - 2025-04-30 🦀

Virtual

2025-04-02 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2025-04-03 | Virtual (Nürnberg, DE) | Rust Nurnberg DE

Rust Nürnberg online

2025-04-03 | Virtual | Ardan Labs

Communicate with Channels in Rust

2025-04-05 | Virtual (Kampala, UG) | Rust Circle Meetup

Rust Circle Meetup

2025-04-08 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Second Tuesday

2025-04-10 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-04-15 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2025-04-16 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2025-04-17 | Virtual and In-Person (Redmond, WA, US) | Seattle Rust User Group

April, 2025 SRUG (Seattle Rust User Group) Meetup

2025-04-22 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Fourth Tuesday

2025-04-23 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

**Beyond embedded - OS development in Rust **

2025-04-24 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-04-24 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Part 2: Quantum Computers Can’t Rust-Proof This!"

Asia

2025-04-05 | Bangalore/Bengaluru, IN | Rust Bangalore

April 2025 Rustacean meetup

2025-04-22 | Tel Aviv-Yafo, IL | Rust 🦀 TLV

In person Rust April 2025 at Braavos in Tel Aviv in collaboration with StarkWare

Europe

2025-04-02 | Cambridge, UK | Cambridge Rust Meetup

Monthly Rust Meetup

2025-04-02 | Köln, DE | Rust Cologne

Rust in April: Rust Embedded, Show and Tell

2025-04-02 | München, DE | Rust Munich

Rust Munich 2025 / 1 - hybrid

2025-04-02 | Oxford, UK | Oxford Rust Meetup Group

Oxford Rust and C++ social

2025-04-02 | Stockholm, SE | Stockholm Rust

Rust Meetup @Funnel

2025-04-03 | Oslo, NO | Rust Oslo

Rust Hack'n'Learn at Kampen Bistro

2025-04-08 | Olomouc, CZ | Rust Moravia

3. Rust Moravia Meetup (Real Embedded Rust)

2025-04-09 | Girona, ES | Rust Girona

Rust Girona Hack & Learn 04 2025

2025-04-09 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup

2025-04-10 | Karlsruhe, DE | Rust Hack & Learn Karlsruhe

Karlsruhe Rust Hack and Learn Meetup bei BlueYonder

2025-04-15 | Leipzig, DE | Rust - Modern Systems Programming in Leipzig

Topic TBD

2025-04-15 | London, UK | Women in Rust

WIR x WCC: Finding your voice in Tech

2025-04-19 | Istanbul, TR | Türkiye Rust Community

Rust Konf Türkiye

2025-04-23 | London, UK | London Rust Project Group

Fusing Python with Rust using raw C bindings

2025-04-24 | Aarhus, DK | Rust Aarhus

Talk Night at MFT Energy

2025-04-24 | Edinburgh, UK | Rust and Friends

Rust and Friends (evening pub)

2025-04-24 | Manchester, UK | Rust Manchester

Rust Manchester April Code Night

2025-04-25 | Edinburgh, UK | Rust and Friends

Rust and Friends (daytime coffee)

2025-04-29 | Paris, FR | Rust Paris

Rust meetup #76

North America

2025-04-03 | Chicago, IL, US | Chicago Rust Meetup

Rust Happy Hour

2025-04-03 | Montréal, QC, CA | Rust Montréal

April Monthly Social

2025-04-03 | Saint Louis, MO, US | STL Rust

icu4x - resource-constrained internationalization (i18n)

2025-04-06 | Boston, MA, US | Boston Rust Meetup

Kendall Rust Lunch, Apr 6

2025-04-08 | New York, NY, US | Rust NYC

Rust NYC: Building a full-text search Postgres extension in Rust

2025-04-10 | Portland, OR, US | PDXRust

TetaNES: A Vaccination for Rust—No Needle, Just the Borrow Checker

2025-04-14 | Boston, MA, US | Boston Rust Meetup

Coolidge Corner Brookline Rust Lunch, Apr 14

2025-04-17 | Nashville, TN, US | Music City Rust Developers

Using Rust For Web Series 1 : Why HTMX Is Bad

2025-04-17 | Redmond, WA, US | Seattle Rust User Group

April, 2025 SRUG (Seattle Rust User Group) Meetup

2025-04-23 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2025-04-25 | Boston, MA, US | Boston Rust Meetup

Ball Square Rust Lunch, Apr 25

Oceania

2025-04-09 | Sydney, NS, AU | Rust Sydney

Crab 🦀 X 🕳️🐇

2025-04-14 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust Meetup

2025-04-22 | Barton, AC, AU | Canberra Rust User Group

April Meetup

South America

2025-04-03 | Buenos Aires, AR | Rust en Español

Abril - Lambdas y más!

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

If you write a bug in your Rust program, Rust doesn’t blame you. Rust asks “how could the compiler have spotted that bug”.

– Ian Jackson blogging about Rust

Despite a lack of suggestions, llogiq is quite pleased with his choice.

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, U007D, joelmarcey, mariannegoldin, bennyvasquez, bdillo

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[techrev123]

Key Technologies Powering Healthcare App Development in 2025

The healthcare industry is undergoing a massive digital shift, and the power of mobile applications is at the forefront of this revolution. In 2025, cutting-edge technologies will no longer be futuristic concepts but the foundation upon which innovative and impactful healthcare applications are being built.

To impact patient care, remote monitoring, diagnostics and overall well-being, you need to understand these top technologies. And when it comes to bringing your vision for a transformational medical app to life with compliance and expertise, TechRev is your go-to partner.

What are the driving forces behind the next generation of healthcare app development? Let’s dive in:

1. AI & Machine Learning in Medical App Development

AI is no longer a buzzword—it’s a real game-changer in medical app development. From predictive analytics to AI-based symptom checkers, these technologies offer smart decision support and personalized treatment recommendations.

TechRev integrates AI into our healthcare app development projects to enhance diagnosis and care management, making them more intelligent and efficient.

2. Telemedicine & Remote Monitoring

The pandemic may have accelerated telemedicine, but it’s here to stay. In 2025, custom health app development includes advanced features for video consultations, remote diagnostic,s and continuous health monitoring.

We build healthcare app development for Android and iOS platforms with live chat, video calls and device integrations to support both patients and providers.

3. Blockchain for Data Security

In an age of increasing cyber threats, app development for healthcare must prioritize data security. Blockchain provides transparent and tamper-proof storage for medical records and patient data.

At TechRev, we implement blockchain frameworks to enhance trust, traceability and compliance in custom healthcare app development.

4. IoT Integration in Health Apps

Smart wearables and IoT devices are revolutionizing the way health metrics are tracked. Whether a smartwatch records heart rate or a glucose monitor syncs data, medical mobile application development now includes seamless integration with IoT devices.

Our developers at TechRev build custom health app development solutions that connect with popular health devices and platforms like Apple HealthKit and Google Fit.

5. Cloud-Based Healthcare Solutions

Scalability, remote access and reduced infrastructure costs—cloud has it all. Most healthcare app development iOS and Android projects now store and process data in real-time in the cloud.

TechRev ensures that all cloud integrations for healthcare app development are HIPAA and SOC 2 compliant.

6. Voice Technology and Chatbots

Voice interfaces and AI-powered chatbots are being widely adopted in healthcare app development. These tools facilitate appointment scheduling, medication reminders, and responding to patient queries.

We develop intelligent assistants that streamline workflows for medical professionals and improve user experiences in healthcare app development.

7. Big Data & Predictive Analytics

Access to patient history, lifestyle data, and treatment outcomes allows providers to predict health risks more accurately. Custom healthcare app development using big data analytics leads to proactive care strategies.

TechRev leverages predictive models to develop apps that facilitate early diagnosis, preventive care, and optimized treatment pathways.

8. Cross-Platform App Development

Users are split between Android and iOS. So why develop separately? At TechRev, we offer healthcare app development Android and iOS using cross-platform frameworks like Flutter and React Native to reduce cost and development time—without sacrificing performance.

9. Augmented Reality (AR) in Healthcare

AR is empowering patient education, surgical training, and physiotherapy. Imagine a patient learning about a procedure through a 3D simulation before surgery.

We incorporate AR modules in custom health app development projects to elevate user engagement and training efficiency.

10. Regulatory Compliance & Security

Compliance is not optional, especially in healthcare. Whether it's HIPAA, SOC 2, or FDA regulations, TechRev ensures every app we develop meets all legal requirements while offering a seamless user experience.

That’s why TechRev is a trusted leader in healthcare app development—we mix innovation with strict compliance for peace of mind.

Why Choose TechRev for Healthcare App Development?

We’re not just another tech agency. We’re specialists in medical app development, understanding the unique needs of healthcare providers. We've done everything from EMR/EHR integrations to secure messaging and remote monitoring.

What sets TechRev apart?

HIPAA & SOC 2 Compliant Solutions

Customizable Android & iOS Apps

24/7 Technical Support

Experienced in Cross-Platform Frameworks

Proven Track Record in the US Healthcare Market

If you’re looking to build a robust, scalable, and secure healthcare solution, TechRev is your partner of choice.

Conclusion

The landscape of healthcare application development in 2025 is rich with possibilities. Technologies like AI, IoT, blockchain, and cloud are not just buzzwords but building blocks of modern care delivery. At TechRev, we blend innovation, compliance, and user-centric design to deliver transformative healthcare app development experiences.

We’re your trusted ally in crafting cutting-edge digital health solutions from concept to launch.

FAQs

1. How to Develop an App for Healthcare?

Start by identifying your target users and must-have features. Select a reputable healthcare app development company, such as TechRev, specializing in HIPAA-compliant, scalable, and secure solutions.

2. How much does it cost to develop a healthcare app?Costs vary based on features, platform (Android or iOS), compliance requirements, and development time. A custom healthcare app development project can range from $50,000 to $250,000+.

3. How long does it take to develop a healthcare app?Depending on the complexity, it may take 3 to 9 months from idea to deployment. TechRev utilizes agile methodologies to expedite the process while maintaining quality.

4. How do I set up a healthcare app?Once developed, the setup includes server configuration, app store deployment, and user training. TechRev handles everything end-to-end so that you can focus on patient care.

5. Is it expensive to start your app?Not necessarily. With a clear roadmap, an MVP approach, and a trusted partner like TechRev, you can launch a robust healthcare app within your budget.

[precallai]

How AI Is Revolutionizing Contact Centers in 2025

As contact centers evolve from reactive customer service hubs to proactive experience engines, artificial intelligence (AI) has emerged as the cornerstone of this transformation. In 2025, modern contact center architectures are being redefined through AI-based technologies that streamline operations, enhance customer satisfaction, and drive measurable business outcomes.

This article takes a technical deep dive into the AI-powered components transforming contact centers—from natural language models and intelligent routing to real-time analytics and automation frameworks.

1. AI Architecture in Modern Contact Centers

At the core of today’s AI-based contact centers is a modular, cloud-native architecture. This typically consists of:

NLP and ASR engines (e.g., Google Dialogflow, AWS Lex, OpenAI Whisper)

Real-time data pipelines for event streaming (e.g., Apache Kafka, Amazon Kinesis)

Machine Learning Models for intent classification, sentiment analysis, and next-best-action

RPA (Robotic Process Automation) for back-office task automation

CDP/CRM Integration to access customer profiles and journey data

Omnichannel orchestration layer that ensures consistent CX across chat, voice, email, and social

These components are containerized (via Kubernetes) and deployed via CI/CD pipelines, enabling rapid iteration and scalability.

2. Conversational AI and Natural Language Understanding

The most visible face of AI in contact centers is the conversational interface—delivered via AI-powered voice bots and chatbots.

Key Technologies:

Automatic Speech Recognition (ASR): Converts spoken input to text in real time. Example: OpenAI Whisper, Deepgram, Google Cloud Speech-to-Text.

Natural Language Understanding (NLU): Determines intent and entities from user input. Typically fine-tuned BERT or LLaMA models power these layers.

Dialog Management: Manages context-aware conversations using finite state machines or transformer-based dialog engines.

Natural Language Generation (NLG): Generates dynamic responses based on context. GPT-based models (e.g., GPT-4) are increasingly embedded for open-ended interactions.

Architecture Snapshot:

plaintext

CopyEdit

Customer Input (Voice/Text)

       ↓

ASR Engine (if voice)

       ↓

NLU Engine → Intent Classification + Entity Recognition

       ↓

Dialog Manager → Context State

       ↓

NLG Engine → Response Generation

       ↓

Omnichannel Delivery Layer

These AI systems are often deployed on low-latency, edge-compute infrastructure to minimize delay and improve UX.

3. AI-Augmented Agent Assist

AI doesn’t only serve customers—it empowers human agents as well.

Features:

Real-Time Transcription: Streaming STT pipelines provide transcripts as the customer speaks.

Sentiment Analysis: Transformers and CNNs trained on customer service data flag negative sentiment or stress cues.

Contextual Suggestions: Based on historical data, ML models suggest actions or FAQ snippets.

Auto-Summarization: Post-call summaries are generated using abstractive summarization models (e.g., PEGASUS, BART).

Technical Workflow:

Voice input transcribed → parsed by NLP engine

Real-time context is compared with knowledge base (vector similarity via FAISS or Pinecone)

Agent UI receives predictive suggestions via API push

4. Intelligent Call Routing and Queuing

AI-based routing uses predictive analytics and reinforcement learning (RL) to dynamically assign incoming interactions.

Routing Criteria:

Customer intent + sentiment

Agent skill level and availability

Predicted handle time (via regression models)

Customer lifetime value (CLV)

Model Stack:

Intent Detection: Multi-label classifiers (e.g., fine-tuned RoBERTa)

Queue Prediction: Time-series forecasting (e.g., Prophet, LSTM)

RL-based Routing: Models trained via Q-learning or Proximal Policy Optimization (PPO) to optimize wait time vs. resolution rate

5. Knowledge Mining and Retrieval-Augmented Generation (RAG)

Large contact centers manage thousands of documents, SOPs, and product manuals. AI facilitates rapid knowledge access through:

Vector Embedding of documents (e.g., using OpenAI, Cohere, or Hugging Face models)

Retrieval-Augmented Generation (RAG): Combines dense retrieval with LLMs for grounded responses

Semantic Search: Replaces keyword-based search with intent-aware queries

This enables agents and bots to answer complex questions with dynamic, accurate information.

6. Customer Journey Analytics and Predictive Modeling

AI enables real-time customer journey mapping and predictive support.

Key ML Models:

Churn Prediction: Gradient Boosted Trees (XGBoost, LightGBM)

Propensity Modeling: Logistic regression and deep neural networks to predict upsell potential

Anomaly Detection: Autoencoders flag unusual user behavior or possible fraud

Streaming Frameworks:

Apache Kafka / Flink / Spark Streaming for ingesting and processing customer signals (page views, clicks, call events) in real time

These insights are visualized through BI dashboards or fed back into orchestration engines to trigger proactive interventions.

7. Automation & RPA Integration

Routine post-call processes like updating CRMs, issuing refunds, or sending emails are handled via AI + RPA integration.

Tools:

UiPath, Automation Anywhere, Microsoft Power Automate

Workflows triggered via APIs or event listeners (e.g., on call disposition)

AI models can determine intent, then trigger the appropriate bot to complete the action in backend systems (ERP, CRM, databases)

8. Security, Compliance, and Ethical AI

As AI handles more sensitive data, contact centers embed security at multiple levels:

Voice biometrics for authentication (e.g., Nuance, Pindrop)

PII Redaction via entity recognition models

Audit Trails of AI decisions for compliance (especially in finance/healthcare)

Bias Monitoring Pipelines to detect model drift or demographic skew

Data governance frameworks like ISO 27001, GDPR, and SOC 2 compliance are standard in enterprise AI deployments.

Final Thoughts

AI in 2025 has moved far beyond simple automation. It now orchestrates entire contact center ecosystems—powering conversational agents, augmenting human reps, automating back-office workflows, and delivering predictive intelligence in real time.

The technical stack is increasingly cloud-native, model-driven, and infused with real-time analytics. For engineering teams, the focus is now on building scalable, secure, and ethical AI infrastructures that deliver measurable impact across customer satisfaction, cost savings, and employee productivity.

As AI models continue to advance, contact centers will evolve into fully adaptive systems, capable of learning, optimizing, and personalizing in real time. The revolution is already here—and it's deeply technical.

[tagbintech]

Big Tech vs AI Startups: Who Will Lead the AI Race in 2025?

The focus keyword Big Tech vs AI Startups: Who Will Lead the AI Race in 2025? is on everyone's radar as we see unprecedented growth in artificial intelligence globally. While the world watches in awe, the question becomes clear—will massive tech corporations maintain dominance, or will agile, innovative AI startups take the lead in shaping our intelligent future?

The Current AI Landscape in 2025

Artificial Intelligence in 2025 is no longer a futuristic concept. From voice assistants and autonomous vehicles to predictive healthcare and intelligent manufacturing, AI is embedded into the fabric of our daily lives. At the heart of this AI revolution stand two forces:

Big Tech (Google, Microsoft, Amazon, Meta, Apple)

AI Startups (Tagbin, OpenAI, Anthropic, Hugging Face, Stability AI, and countless new disruptors)

Each brings unique strengths to the table, but the battle for AI supremacy is heating up like never before.

What Big Tech Brings to the Table

1. Infrastructure & Scale

Big Tech firms have vast computational resources, data centers, and access to proprietary user data. This enables them to train large-scale AI models like GPT-5 or Gemini Ultra at a scale most startups cannot match.

2. Talent Acquisition

These companies are able to attract and retain top-tier AI researchers by offering unmatched salaries and research environments.

3. Deployment Power

Thanks to global reach, Big Tech can deploy AI systems at scale—across billions of devices, apps, and ecosystems like Microsoft Azure, AWS, and Google Cloud.

Why AI Startups Are Disrupting the Game

1. Speed and Agility

Startups move fast. Without bureaucratic red tape, they innovate rapidly, test bold ideas, and push boundaries without fear.

2. Niche Innovation

AI startups often focus on niche problems—drug discovery, ethical AI, quantum AI integration, or local language NLP—which are overlooked by larger players.

3. Open Source & Community Power

Companies like Hugging Face are democratizing AI by creating open-source models, creating a strong developer community and collaboration culture.

The Ethical Divide: AI for Profit vs AI for Purpose

2025 is also seeing an ethical shift. The world wants responsible AI. Big Tech faces criticism over data privacy, algorithmic bias, and monopolistic behavior. Meanwhile, startups often embrace ethical AI principles from inception, building trust among users and regulators.

This divide may give AI startups an edge—especially in regions like Europe and India where AI ethics and regulation are tightening.

Collaboration or Competition?

It’s not always a battle. Many AI startups collaborate with Big Tech through cloud partnerships or acquisitions. OpenAI, initially a startup, is now heavily funded by Microsoft. This shows a symbiotic trend: Startups bring ideas; Big Tech brings scale.

But the question remains—will such collaborations lead to innovation, or consolidation and control?

2025's Most Promising AI Startups

Anthropic – Championing “constitutional AI” for safer LLMs

Mistral AI – Developing compact, open-source foundation models

Hugging Face – Powering the open-source AI revolution

Runway ML – Leading the creative AI space (text-to-video, generative art)

LightOn – Merging AI with physics for ultra-efficient computing

Can AI Startups Win?

Despite being outspent, AI startups in 2025 are winning on creativity, ethics, and accessibility. With decentralization and open-source movements growing, the barriers to entry are falling. If they can scale responsibly and sustainably, the balance could tilt.

Future Outlook: The Next 5 Years

In conclusion, the AI race in 2025 isn’t just about who is bigger—it's about who is bolder, more ethical, and more community-driven. Whether it’s Big Tech or AI startups, the future of artificial intelligence will be shaped by the choices made today.

[govindhtech]

Gemini Code Assist Enterprise: AI App Development Tool

Introducing Gemini Code Assist Enterprise’s AI-powered app development tool that allows for code customisation.

The modern economy is driven by software development. Unfortunately, due to a lack of skilled developers, a growing number of integrations, vendors, and abstraction levels, developing effective apps across the tech stack is difficult.

To expedite application delivery and stay competitive, IT leaders must provide their teams with AI-powered solutions that assist developers in navigating complexity.

Google Cloud thinks that offering an AI-powered application development solution that works across the tech stack, along with enterprise-grade security guarantees, better contextual suggestions, and cloud integrations that let developers work more quickly and versatile with a wider range of services, is the best way to address development challenges.

Google Cloud is presenting Gemini Code Assist Enterprise, the next generation of application development capabilities.

Beyond AI-powered coding aid in the IDE, Gemini Code Assist Enterprise goes. This is application development support at the corporate level. Gemini’s huge token context window supports deep local codebase awareness. You can use a wide context window to consider the details of your local codebase and ongoing development session, allowing you to generate or transform code that is better appropriate for your application.

With code customization, Code Assist Enterprise not only comprehends your local codebase but also provides code recommendations based on internal libraries and best practices within your company. As a result, Code Assist can produce personalized code recommendations that are more precise and pertinent to your company. In addition to finishing difficult activities like updating the Java version across a whole repository, developers can remain in the flow state for longer and provide more insights directly to their IDEs. Because of this, developers can concentrate on coming up with original solutions to problems, which increases job satisfaction and gives them a competitive advantage. You can also come to market more quickly.

GitLab.com and GitHub.com repos can be indexed by Gemini Code Assist Enterprise code customisation; support for self-hosted, on-premise repos and other source control systems will be added in early 2025.

Yet IDEs are not the only tool used to construct apps. It integrates coding support into all of Google Cloud’s services to help specialist coders become more adaptable builders. The time required to transition to new technologies is significantly decreased by a code assistant, which also integrates the subtleties of an organization’s coding standards into its recommendations. Therefore, the faster your builders can create and deliver applications, the more services it impacts. To meet developers where they are, Code Assist Enterprise provides coding assistance in Firebase, Databases, BigQuery, Colab Enterprise, Apigee, and Application Integration. Furthermore, each Gemini Code Assist Enterprise user can access these products’ features; they are not separate purchases.

Gemini Code Support BigQuery enterprise users can benefit from SQL and Python code support. With the creation of pre-validated, ready-to-run queries (data insights) and a natural language-based interface for data exploration, curation, wrangling, analysis, and visualization (data canvas), they can enhance their data journeys beyond editor-based code assistance and speed up their analytics workflows.

Furthermore, Code Assist Enterprise does not use the proprietary data from your firm to train the Gemini model, since security and privacy are of utmost importance to any business. Source code that is kept separate from each customer’s organization and kept for usage in code customization is kept in a Google Cloud-managed project. Clients are in complete control of which source repositories to utilize for customization, and they can delete all data at any moment.

Your company and data are safeguarded by Google Cloud’s dedication to enterprise preparedness, data governance, and security. This is demonstrated by projects like software supply chain security, Mandiant research, and purpose-built infrastructure, as well as by generative AI indemnification.

Google Cloud provides you with the greatest tools for AI coding support so that your engineers may work happily and effectively. The market is also paying attention. Because of its ability to execute and completeness of vision, Google Cloud has been ranked as a Leader in the Gartner Magic Quadrant for AI Code Assistants for 2024.

Gemini Code Assist Enterprise Costs

In general, Gemini Code Assist Enterprise costs $45 per month per user; however, a one-year membership that ends on March 31, 2025, will only cost $19 per month per user.

Read more on Govindhtech.com

[cleverhottubmiracle]

[ad_1] Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations — a major leap from the 101 use cases it shared just a year ago at Google Cloud Next 2024. This sixfold expansion showcases the explosive pace at which GenAI technologies are moving from prototypes to production, powering transformations across virtually every sector. Announced during Google Cloud Next 2025, the comprehensive list covers companies ranging from Uber, Samsung, and Citi to Mercedes-Benz, Deutsche Bank, and Alaska Airlines. The breadth of applications highlights GenAI’s growing importance as an operational, creative, and strategic lever across automotive, finance, healthcare, manufacturing, media, retail, and public sector industries​. The Structure: Agents, Industries, and Applications Google structured the showcase across 11 major industry groups and six AI agent types: Customer Agents: Enhance user experiences via chatbots, predictive services, and personalization Employee Agents: Boost internal productivity through content generation, summarization, and knowledge discovery Creative Agents: Accelerate campaign design, media production, and product innovation Code Agents: Streamline software engineering and IT workflows Data Agents: Leverage data for analysis, optimization, and decision support Security Agents: Fortify organizations with AI-driven threat detection and fraud prevention​. This agent-based taxonomy makes it clear: AI is no longer a separate tool — it’s becoming embedded into the organizational fabric. Industry Snapshots: Real-World Impact Automotive & Logistics The automotive industry is rapidly adopting conversational and predictive AI. Volkswagen of America built a multimodal virtual assistant inside the myVW app using Google’s Gemini models, letting users point their phones at dashboard indicators for instant explanations​. Mercedes-Benz launched an automotive AI agent offering natural language navigation and e-commerce sales capabilities directly within its vehicles. Even logistics giants are innovating: UPS is constructing a digital twin of its global package network for real-time package tracking and optimization​. Financial Services Banks and fintech companies are particularly aggressive in AI adoption. Citi is using Vertex AI to empower developer toolkits and document digitization. Deutsche Bank’s “DB Lumina” research tool, powered by Gemini, slashes research report creation times from hours to minutes​. Meanwhile, Discover Financial Services deployed AI assistants that aid both customers and contact center representatives, significantly improving service efficiency​. Healthcare & Life Sciences In healthcare, the impact of AI extends from diagnostics to operational efficiency. Freenome is building early-detection cancer tests combining AI and blood samples. Mayo Clinic unlocked 50 petabytes of clinical data with Vertex AI Search, accelerating research access​. Apollo Hospitals in India scaled tuberculosis and breast cancer screening to 3 million people by applying AI to radiology workflows​. Manufacturing & Electronics Manufacturers like Samsung are embedding Google’s Gemini AI directly into their devices — the Galaxy S24 now offers AI-driven text summarization and image editing features​. Trimble and Honeywell have incorporated Gemini for Workspace to enhance engineering productivity and document automation​. Media, Retail, and Hospitality AI is dramatically altering customer engagement. Papa John’s, Wendy’s, and Uber are using AI-powered predictive ordering systems​. Radisson Hotel Group reported a 50% gain in marketing productivity and over 20% revenue lift by personalizing ads with Vertex AI​. Even creative industries are leveraging AI: Adobe has integrated Imagen 3 and Veo 2 into Adobe Express, dramatically accelerating campaign creation​. Technology Highlights: Google’s Evolving Stack Many of these applications were made possible through core Google Cloud AI technologies, notably: Vertex AI: Model training, deployment, RAG (retrieval-augmented generation) pipelines Gemini Models: Multimodal LLMs powering text, code, vision, and conversational capabilities Imagen & Veo: High-fidelity generative image and video models BigQuery ML: Data warehousing with embedded machine learning Security AI: AI-first threat detection with Google SecOps​. An emerging trend is the heavy use of enterprise-tuned AI agents, such as Gemini Code Assist for developer productivity or Gemini in Security for threat intelligence​. Emerging Patterns Across Use Cases Several clear trends emerge from Google’s compilation: Generative AI is moving from experiments to mission-critical systems: Whether automating underwriting in finance, driving drug discovery, or powering multimodal search in automotive apps, GenAI is now operational at scale. Hybrid Multimodal Models are increasingly vital: Many solutions integrate text, vision, and structured data — not just plain language models. Verticalized AI Agents are accelerating: Google’s partners aren’t just fine-tuning LLMs — they’re building domain-specific, industry-tuned AI agents tightly integrated into their workflows. Democratization of AI: Solutions like Vertex AI’s search and data agents are putting sophisticated AI tools into the hands of business users, scientists, and even drivers — not just engineers. Final Thoughts The 601 use cases shared by Google paint an exhilarating picture: AI transformation is no longer theoretical — it is happening today, at massive scale, in nearly every sector. Google’s strategy of aligning its AI offerings with real-world operational needs — from customer engagement and logistics to employee productivity and cybersecurity — is accelerating this adoption curve. As Google’s President of Global Revenue, Matt Renner, said in the announcement, “This is just scratching the surface of what’s becoming possible with AI across the enterprise”​. If these use cases are any indication, the next year promises even more staggering innovation. Check out the Report. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Group. Don’t Forget to join our 90k+ ML SubReddit. 🔥 [Register Now] miniCON Virtual Conference on AGENTIC AI: FREE REGISTRATION + Certificate of Attendance + 4 Hour Short Event (May 21, 9 am- 1 pm PST) + Hands on Workshop Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences. [ad_2] Source link

[hemantrowdy]

Android App Development Bootcamp 2025: Fast-Track Your Skills with Code with TLS

In 2025, the demand for skilled Android app developers is at an all-time high. Whether you're looking to kickstart your career in tech or enhance your skills, Code with TLS offers a comprehensive and fast-paced Android App Development Bootcamp designed to equip you with the necessary tools to succeed. Our program is perfect for both beginners and professionals looking to master Android development and take their app-building skills to the next level.

At Code with TLS, we understand that in the fast-evolving tech industry, staying ahead requires hands-on experience and continuous learning. Our Android App Development Bootcamp offers just that. This course is designed to give you a complete understanding of Android app development, from the basics to advanced concepts, with real-world applications and projects to solidify your learning.

Why Choose Code with TLS for Android App Development?

Our bootcamp stands out for its structured curriculum and practical approach. Here's what sets it apart:

Hands-On Learning: Gain real-world experience by building fully functional Android apps using the latest technologies like Java and Kotlin. By the end of the program, you’ll have a portfolio of apps to showcase your skills to potential employers.

Expert-Led Training: Learn from industry professionals who bring years of experience to the table. Our instructors guide you through each concept, ensuring you understand both the theory and the practical aspects of Android app development.

Fast-Track Your Career: With our bootcamp format, you’ll accelerate your learning and dive straight into building apps. The curriculum is optimized to get you job-ready quickly, making you a sought-after candidate in the tech job market.

Flexible Learning: Whether you prefer online learning or in-person classes, Code with TLS offers flexible training schedules to fit your lifestyle, helping you stay committed to your career goals while balancing other responsibilities.

What Will You Learn?

Our Android App Development Bootcamp covers all the essential aspects of Android development, including:

Understanding Android Studio and SDK (Software Development Kit)

Designing user-friendly interfaces with XML and UI components

Coding with Java and Kotlin for Android apps

Working with APIs, databases, and cloud storage

Testing and debugging Android apps for optimized performance

By completing this bootcamp, you'll have the skills to create your own Android apps, deploy them on the Google Play Store, and even work as a freelance Android developer.

Get Started with Code with TLS

Join our Android App Development Bootcamp at Code with TLS and fast-track your career in one of the most in-demand tech fields. With our expert guidance and hands-on approach, you’ll gain the skills necessary to develop cutting-edge Android apps in no time. Enroll today and get ready to take your tech career to the next level!

[rayhaber]

Oppo, Google Cloud Next 2025'te Yenilikçi Agentic Aİ Projesini Duyurdu

Yapay Zeka ve OPPO: Geleceğin Teknolojileri Yapay zeka, günümüzde teknoloji dünyasında devrim niteliğinde gelişmelere yol açmaktadır. Bu bağlamda, OPPO, yapay zeka deneyimlerinde liderlik hedefiyle öne çıkmakta ve birçok stratejik iş birliğine imza atmaktadır. Son olarak, Google Cloud Next 2025 etkinliğinde tanıtılan Agentic AI vizyonu, kullanıcıların ihtiyaçlarını yalnızca yanıtlamakla kalmayıp,…

[devsecops-training]

Certified DevSecOps Professional: Career Path, Salary & Skills

Introduction

As the demand for secure, agile software development continues to rise, the role of a Certified DevSecOps Professional has become critical in modern IT environments. Organizations today are rapidly adopting DevSecOps to shift security left in the software development lifecycle. This shift means security is no longer an afterthought—it is integrated from the beginning. Whether you're just exploring the DevSecOps tutorial for beginners or looking to level up with a professional certification, understanding the career landscape, salary potential, and required skills can help you plan your next move.

This comprehensive guide explores the journey of becoming a Certified DevSecOps Professional, the skills you'll need, the career opportunities available, and the average salary you can expect. Let’s dive into the practical and professional aspects that make DevSecOps one of the most in-demand IT specialties in 2025 and beyond.

What Is DevSecOps?

Integrating Security into DevOps

DevSecOps is the practice of integrating security into every phase of the DevOps pipeline. Traditional security processes often occur at the end of development, leading to delays and vulnerabilities. DevSecOps introduces security checks early in development, making applications more secure and compliant from the start.

The Goal of DevSecOps

The ultimate goal is to create a culture where development, security, and operations teams collaborate to deliver secure and high-quality software faster. DevSecOps emphasizes automation, continuous integration, continuous delivery (CI/CD), and proactive risk management.

Why Choose a Career as a Certified DevSecOps Professional?

High Demand and Job Security

The need for DevSecOps professionals is growing fast. According to a Cybersecurity Ventures report, there will be 3.5 million unfilled cybersecurity jobs globally by 2025. Many of these roles demand DevSecOps expertise.

Lucrative Salary Packages

Because of the specialized skill set required, DevSecOps professionals are among the highest-paid tech roles. Salaries can range from $110,000 to $180,000 annually depending on experience, location, and industry.

Career Versatility

This role opens up diverse paths such as:

Application Security Engineer

DevSecOps Architect

Cloud Security Engineer

Security Automation Engineer

Roles and Responsibilities of a DevSecOps Professional

Core Responsibilities

Integrate security tools and practices into CI/CD pipelines

Perform threat modeling and vulnerability scanning

Automate compliance and security policies

Conduct security code reviews

Monitor runtime environments for suspicious activities

Collaboration

A Certified DevSecOps Professional acts as a bridge between development, operations, and security teams. Strong communication skills are crucial to ensure secure, efficient, and fast software delivery.

Skills Required to Become a Certified DevSecOps Professional

Technical Skills

Scripting Languages: Bash, Python, or PowerShell

Configuration Management: Ansible, Chef, or Puppet

CI/CD Tools: Jenkins, GitLab CI, CircleCI

Containerization: Docker, Kubernetes

Security Tools: SonarQube, Checkmarx, OWASP ZAP, Aqua Security

Cloud Platforms: AWS, Azure, Google Cloud

Soft Skills

Problem-solving

Collaboration

Communication

Time Management

DevSecOps Tutorial for Beginners: A Step-by-Step Guide

Step 1: Understand the Basics of DevOps

Before diving into DevSecOps, make sure you're clear on DevOps principles, including CI/CD, infrastructure as code, and agile development.

Step 2: Learn Security Fundamentals

Study foundational cybersecurity concepts like threat modeling, encryption, authentication, and access control.

Step 3: Get Hands-On With Tools

Use open-source tools to practice integrating security into DevOps pipelines:

# Example: Running a static analysis scan with SonarQube

sonar-scanner \

  -Dsonar.projectKey=myapp \

  -Dsonar.sources=. \

  -Dsonar.host.url=http://localhost:9000 \

  -Dsonar.login=your_token

Step 4: Build Your Own Secure CI/CD Pipeline

Practice creating pipelines with Jenkins or GitLab CI that include steps for:

Static Code Analysis

Dependency Checking

Container Image Scanning

Step 5: Monitor and Respond

Set up tools like Prometheus and Grafana to monitor your applications and detect anomalies.

Certification Paths for DevSecOps

Popular Certifications

Certified DevSecOps Professional

Certified Kubernetes Security Specialist (CKS)

AWS Certified Security - Specialty

GIAC Cloud Security Automation (GCSA)

Exam Topics Typically Include:

Security in CI/CD

Secure Infrastructure as Code

Cloud-native Security Practices

Secure Coding Practices

Salary Outlook for DevSecOps Professionals

Salary by Experience

Entry-Level: $95,000 - $115,000

Mid-Level: $120,000 - $140,000

Senior-Level: $145,000 - $180,000+

Salary by Location

USA: Highest average salaries, especially in tech hubs like San Francisco, Austin, and New York.

India: ₹9 LPA to ₹30+ LPA depending on experience.

Europe: €70,000 - €120,000 depending on country.

Real-World Example: How Companies Use DevSecOps

Case Study: DevSecOps at a Fintech Startup

A fintech company integrated DevSecOps tools like Snyk, Jenkins, and Kubernetes to secure their microservices architecture. They reduced vulnerabilities by 60% in just three months while speeding up deployments by 40%.

Key Takeaways

Early threat detection saves time and cost

Automated pipelines improve consistency and compliance

Developers take ownership of code security

Challenges in DevSecOps and How to Overcome Them

Cultural Resistance

Solution: Conduct training and workshops to foster collaboration between teams.

Tool Integration

Solution: Choose tools that support REST APIs and offer strong documentation.

Skill Gaps

Solution: Continuous learning and upskilling through real-world projects and sandbox environments.

Career Roadmap: From Beginner to Expert

Beginner Level

Understand DevSecOps concepts

Explore basic tools and scripting

Start with a DevSecOps tutorial for beginners

Intermediate Level

Build and manage secure CI/CD pipelines

Gain practical experience with container security and cloud security

Advanced Level

Architect secure cloud infrastructure

Lead DevSecOps adoption in organizations

Mentor junior engineers

Conclusion

The future of software development is secure, agile, and automated—and that means DevSecOps. Becoming a Certified DevSecOps Professional offers not only job security and high salaries but also the chance to play a vital role in creating safer digital ecosystems. Whether you’re following a DevSecOps tutorial for beginners or advancing into certification prep, this career path is both rewarding and future-proof.

Take the first step today: Start learning, start practicing, and aim for certification!

[markibloger]

How to Integrate Smart India Hackathon Solutions into Real-World Use Cases

Winning or participating in Smart India Hackathon is an incredible achievement. But the real work begins when you take your solution and move it from prototype to real-world application.

Here’s how you can take your hackathon solution beyond the event, into live projects and implementations that have a tangible impact.

🧑‍💻 Step 1: Understand the Real-World Problem

To ensure that your Smart India Hackathon solution is impactful, make sure you have a deep understanding of the real-world problem you’re solving:

How does the problem affect the end-users?

What are the current gaps or limitations in existing solutions?

What would make your solution better, faster, or more scalable?

Taking the time to validate the problem ensures that you’re building a solution that people actually need.

💡 Step 2: Test with Real Users

One of the most critical steps after hackathon is ensuring that your solution works for real users:

Beta test your product with actual users who will benefit from it.

Gather real-time feedback on usability, functionality, and impact.

Use this feedback to iterate, improve, and refine your solution before launching it.

Engage with potential users early on to ensure that your solution solves their problem as effectively as possible.

🔄 Step 3: Collaborate with Government or Industry Partners

Since Smart India Hackathon is backed by the Indian government, there are plenty of opportunities to take your solution to the next level:

Partner with government departments or ministries that align with the challenge you addressed.

Pitch your solution to local businesses, NGOs, or other organizations that might benefit from it.

Collaborate to pilot your project at a larger scale, securing funding or partnerships.

As a hackathon winner, you have the chance to collaborate with entities that have the resources to scale your solution and make it a permanent tool.

🌱 Step 4: Plan for Scalability and Sustainability

Building a hackathon solution is just the beginning. The real challenge is scaling it to meet the needs of a larger audience:

Focus on making your solution scalable—will it still work with increased users or data?

Consider sustainability in terms of resources, energy consumption, and long-term maintenance.

Use cloud services like AWS or Google Cloud to scale without needing massive infrastructure changes.

Ensure that your Smart India Hackathon solution can grow without overcomplicating your system.

💼 Step 5: Seek Funding, Mentorship, and Exposure

To move your Smart India Hackathon solution into a real-world product, you may need additional funding and mentorship:

Apply for government grants or look for startup incubators that support innovation in your domain.

Look for angel investors or VCs who specialize in socially impactful startups.

Pitch your solution at industry conferences, networking events, or other hackathons to gain exposure.

Continued support is essential for taking your solution beyond the hackathon and into the hands of those who need it most.

📘 Resources from Hack4Purpose

The hackathon 2025 guide provides tools and tips for turning your project into a scalable solution:

Startup pitching decks for funding

Prototyping and testing tools

Networking strategies to find the right collaborators

At Hack4Purpose, we make sure you’re supported every step of the way.

💡 Final Tip

After Smart India Hackathon, it’s not about resting on your laurels—it’s about taking action. Test, scale, collaborate, and secure the resources you need to turn your idea into a meaningful, real-world solution.

[markeshblog]

How to Integrate Smart India Hackathon Solutions into Real-World Use Cases

Winning or participating in Smart India Hackathon is an incredible achievement. But the real work begins when you take your solution and move it from prototype to real-world application.

Here’s how you can take your hackathon solution beyond the event, into live projects and implementations that have a tangible impact.

🧑‍💻 Step 1: Understand the Real-World Problem

To ensure that your Smart India Hackathon solution is impactful, make sure you have a deep understanding of the real-world problem you’re solving:

How does the problem affect the end-users?

What are the current gaps or limitations in existing solutions?

What would make your solution better, faster, or more scalable?

Taking the time to validate the problem ensures that you’re building a solution that people actually need.

💡 Step 2: Test with Real Users

One of the most critical steps after hackathon is ensuring that your solution works for real users:

Beta test your product with actual users who will benefit from it.

Gather real-time feedback on usability, functionality, and impact.

Use this feedback to iterate, improve, and refine your solution before launching it.

Engage with potential users early on to ensure that your solution solves their problem as effectively as possible.

🔄 Step 3: Collaborate with Government or Industry Partners

Since Smart India Hackathon is backed by the Indian government, there are plenty of opportunities to take your solution to the next level:

Partner with government departments or ministries that align with the challenge you addressed.

Pitch your solution to local businesses, NGOs, or other organizations that might benefit from it.

Collaborate to pilot your project at a larger scale, securing funding or partnerships.

As a hackathon winner, you have the chance to collaborate with entities that have the resources to scale your solution and make it a permanent tool.

🌱 Step 4: Plan for Scalability and Sustainability

Building a hackathon solution is just the beginning. The real challenge is scaling it to meet the needs of a larger audience:

Focus on making your solution scalable—will it still work with increased users or data?

Consider sustainability in terms of resources, energy consumption, and long-term maintenance.

Use cloud services like AWS or Google Cloud to scale without needing massive infrastructure changes.

Ensure that your Smart India Hackathon solution can grow without overcomplicating your system.

💼 Step 5: Seek Funding, Mentorship, and Exposure

To move your Smart India Hackathon solution into a real-world product, you may need additional funding and mentorship:

Apply for government grants or look for startup incubators that support innovation in your domain.

Look for angel investors or VCs who specialize in socially impactful startups.

Pitch your solution at industry conferences, networking events, or other hackathons to gain exposure.

Continued support is essential for taking your solution beyond the hackathon and into the hands of those who need it most.

📘 Resources from Hack4Purpose

The hackathon 2025 guide provides tools and tips for turning your project into a scalable solution:

Startup pitching decks for funding

Prototyping and testing tools

Networking strategies to find the right collaborators

At Hack4Purpose, we make sure you’re supported every step of the way.

💡 Final Tip

After Smart India Hackathon, it’s not about resting on your laurels—it’s about taking action. Test, scale, collaborate, and secure the resources you need to turn your idea into a meaningful, real-world solution.

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Google launches A2A as HyperCycle advances AI agent interoperability

New Post has been published on https://thedigitalinsider.com/google-launches-a2a-as-hypercycle-advances-ai-agent-interoperability/

Google launches A2A as HyperCycle advances AI agent interoperability

AI agents handle increasingly complex and recurring tasks, such as planning supply chains and ordering equipment. As organisations deploy more agents developed by different vendors on different frameworks, agents can end up siloed, unable to coordinate or communicate. Lack of interoperability remains a challenge for organisations, with different agents making conflicting recommendations. It’s difficult to create standardised AI workflows, and agent integration require middleware, adding more potential failure points and layers of complexity.

Google’s protocol will standardise AI agent communication

Google unveiled its Agent2Agent (A2A) protocol at Cloud Next 2025 in an effort to standardise communication between diverse AI agents. A2A is an open protocol that allows independent AI agents to communicate and cooperate. It complements Anthropic’s Model Context Protocol (MCP), which provides models with context and tools. MCP connects agents to tools and other resources, and A2A connects agents to other agents. Google’s new protocol facilitates collaboration among AI agents on different platforms and vendors, and ensures secure, real-time communication, and task coordination.

The two roles in an A2A-enabled system are a client agent and a remote agent. The client initiates a task to achieve a goal or on behalf of a user, It makes requests which the remote agent receives and acts on. Depending on who initiates the communication, an agent can be a client agent in one interaction and a remote agent in another. The protocol defines a standard message format and workflow for the interaction.

Tasks are at the heart of A2A, with each task representing a work or conversation unit. The client agent sends the request to the remote agent’s send or task endpoint. The request includes instructions and a unique task ID. The remote agent creates a new task and starts working on it.

Google enjoys broad industry support, with contributions from more than 50 technology partners like Intuit, Langchain, MongoDB, Atlassian, Box, Cohere, PayPal, Salesforce, SAP, Workday, ServiceNow, and UKG. Reputable service providers include Capgemini, Cognizant, Accenture, BCG, Deloitte, HCLTech, McKinsey, PwC, TCS, Infosys, KPMG, and Wipro.

How HyperCycle aligns with A2A principles

HyperCycle’s Node Factory framework makes it possible to deploy multiple agents, addressing existing challenges and enabling developers to create reliable, collaborative setups. The decentralised platform is advancing the bold concept of “the internet of AI” and using self-perpetuating nodes and a creative licensing model to enable AI deployments at scale. The framework helps achieve cross-platform interoperability by standardising interactions and supporting agents from different developers so agents can work cohesively, irrespective of origin.

The platform’s peer-to-peer network links agents across an ecosystem, eliminating silos and enabling unified data sharing and coordination across nodes. The self-replicating nodes can scale, reducing infrastructure needs and distributing computational loads.

Each Node Factory replicates up to ten times, with the number of nodes in the Factory doubling each time. Users can buy and operate Node Factories at ten different levels. Growth enhances each Factory’s capacity, fulfilling increasing demand for AI services. One node might host a communication-focused agent, while another supports a data analysis agent. Developers can create custom solutions by crafting multi-agent tools from the nodes they’re using, addressing scalability issues and siloed environments.

HyperCycle’s Node Factory operates in a network using Toda/IP architecture, which parallels TCP/IP. The network encompasses hundreds of thousands of nodes, letting developers integrate third-party agents. A developer can enhance function by incorporating a third-party analytics agent, sharing intelligence, and promoting collaboration across the network.

According to Toufi Saliba, HyperCycle’s CEO, the exciting development from Google around A2A represents a major milestone for his agent cooperation project. The news supports his vision of interoperable, scalable AI agents. In an X post, he said many more AI agents will now be able to access the nodes produced by HyperCycle Factories. Nodes can be plugged into any A2A, giving each AI agent in Google Cloud (and its 50+ partners) near-instant access to AWS agents, Microsoft agents, and the entire internet of AI. Saliba’s statement highlights A2A’s potential and its synergy with HyperCycle’s mission.

The security and speed of HyperCycle’s Layer 0++

HyperCycle’s Layer 0++ blockchain infrastructure offers security and speed, and complements A2A by providing a decentralised, secure infrastructure for AI agent interactions. Layer 0++ is an innovative blockchain operating on Toda/IP, which divides network packets into smaller pieces and distributes them across nodes.

It can also extend the usability of other blockchains by bridging to them, which means HyperCycle can enhance the functionality of Bitcoin, Ethereum, Avalanche, Cosmos, Cardano, Polygon, Algorand, and Polkadot rather than compete with those blockchains.

DeFi, decentralised payments, swarm AI, and other use cases

HyperCycle has potential in areas like DeFi, swarm AI, media ratings and rewards, decentralised payments, and computer processing. Swarm AI is a collective intelligence system where individual agents collaborate to solve complicated problems. They can interoperate more often with HyperCycle, leading to lightweight agents carrying out complex internal processes.

The HyperCycle platform can improve ratings and rewards in media networks through micro-transactions. The ability to perform high-frequency, high-speed, low-cost, on-chain trading presents innumerable opportunities in DeFi.

It can streamline decentralised payments and computer processing by increasing the speed and reducing the cost of blockchain transactions.

HyperCycle’s efforts to improve access to information precede Google’s announcement. In January 2025, the platform announced it had launched a joint initiative with YMCA – an AI app called Hyper-Y that will connect 64 million people in 12,000 YMCA locations across 120 countries, providing staff, members, and volunteers with access to information from the global network.

HyperCycle’s efforts and Google’s A2A converge

Google hopes its protocol will pave the way for collaboration to solve complex problems and will build the protocol with the community, in the open. A2A was released as open-source with plans to set up contribution pathways. HyperCycle’s innovations aim to enable collaborative problem-solving by connecting AI to a global network of specialised abilities as A2A standardises communication between agents regardless of their vendor or build, so introducing more collaborative multi-agent ecosystems.

A2A and Hypercycle bring ease of use, modularity, scalability, and security to AI agent systems. They can unlock a new era of agent interoperability, creating more flexible and powerful agentic systems.

(Image source: Unsplash)