#Multitenant

[debsdaniel03]

🚨🚀 ¡Próximamente! Curso donde Dominarás Multi Tenant con Django 5 y Docker 🐍🐳 🔜 👉 https://youtu.be/8oyRDZ05gQk 👈

[dclessonsonline]

Elevate your data center expertise with #CCIEDC certification. Tackle intricate challenges, from storage to automation, and design resilient architectures. Lead with confidence in the evolving tech landscape. https://www.dclessons.com/category/courses/aci

[devsnews]

Multitenancy is a concept in software architecture where a single instance of the software can be used by multiple customers or "tenants". This is important because it allows multiple customers to share the same infrastructure, reducing costs and allowing for scalability. It also allows for a single codebase to be used across multiple customers, simplifying updates and maintenance. The writer of this article believes that many developers don't know about this powerful concept in software architecture.

[puddingpong]

🌈CSP Assets MasterList🌈

I use Clip Studio Paint a lot… and i am always checking the assets store

This is a big list of assets i find interesting/useful that are ✨free✨

🖌️Brushes

Belt Buckle

Scattering Papers

Bullet Band

Simple Rope

Wisteria Flowers

Rubble/Debris

Vertical Rocks

Pointy Rocks

Chains

Simple Chains

Floor Pattern

Wizard Bookshelf

Cartoon Leaf Brush

Large Foliage

Bushes

🛋️3d Furniture:

Modern Bookshelf

Antique Books

Chesterfield Antique Chair

Bookcase

Simple Computer Chair

2 seats Sofa

Armrest Chair

Office Chair

Fancy Chair

Celestial Globe Set

Simple Queen Bed

Bird Cage Chair

Toilet Set

Bunk Bed

Hospital Bed

⚙️3d Misc:

Angel Wings

Cogs

Helm

Wires

Cowboy Hat

Camera

Dog Muzzle

Valves

🏠3d Buildings / Structures / etc

Back Alley Wall

Cartoonish Back Alley

Mobile/Ice Cream Stand

Outside Asian Insp. Lantern

Tall Upscale building with 4 entrances

Medieval Market Stand

Fantasy city street

Mansion

Wooden School Hall

Boxing Ring

Multitenant Building

Sci-fi Door

City

Medieval Ruins

Throne Room

Big House

Iron Gate

Torii Gate

Japanese Style Room

Cliff Covered With Concrete Blocks

Medieval Shop Stand

Bus Seats

Boxing Hall

Simple Building Apartments

Sci-fi Medical Pod

Basic Ruins

Tiny Cafe Table Set

Tall Shopping Street Building

Shopping Street Building

Inside Castle Throne Room

Inside Castle Hall

Inside Castle Corridor

Skyscraper

Fantasy Castle/Church

🚲3d Vehicles

Racing Bike

Bicycle

⚔️3d Weapons

Nodachi Sword

Medieval Sword

Dart Gun

Pistol Parts

Automatic rifle

Futuristic Weapon Set

🎸3d Instruments:

Drum Set

Guitar

Electric Guitar

Electric Guitar (Mustang Type)

🌈Hope it helps? idk... bye bye🌈

[sockupcloud]

How To Setup Elasticsearch 6.4 On RHEL/CentOS 6/7?

What is Elasticsearch? Elasticsearch is a search engine based on Lucene. It is useful in a distributed environment and helps in a multitenant-capable full-text search engine. While you query something from Elasticsearch it will provide you with an HTTP web interface and schema-free JSON documents. it provides the ability for full-text search. Elasticsearch is developed in Java and is released as open-source under the terms of the Apache 2 license. Scenario: 1. Server IP: 192.168.56.101 2. Elasticsearch: Version 6.4 3. OS: CentOS 7.5 4. RAM: 4 GB Note: If you are a SUDO user then prefix every command with sudo, like #sudo ifconfig With the help of this guide, you will be able to set up Elasticsearch single-node clusters on CentOS, Red Hat, and Fedora systems. Step 1: Install and Verify Java Java is the primary requirement for installing Elasticsearch. So, make sure you have Java installed on your system. # java -version openjdk version "1.8.0_181" OpenJDK Runtime Environment (build 1.8.0_181-b13) OpenJDK 64-Bit Server VM (build 25.181-b13, mixed mode) If you don’t have Java installed on your system, then run the below command # yum install java-1.8.0-openjdk Step 2: Setup Elasticsearch For this guide, I am downloading the latest Elasticsearch tar from its official website so follow the below step # wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.4.2.tar.gz # tar -xzf elasticsearch-6.4.2.tar.gz # tar -xzf elasticsearch-6.4.2.tar.gz # mv elasticsearch-6.4.2 /usr/local/elasticsearch Step 5: Permission and User We need a user for running elasticsearch (root is not recommended). # useradd elasticsearch # chown -R elasticsearch.elasticsearch /usr/local/elasticsearch/ Step 6: Setup Ulimits Now to get a Running system we need to make some changes of ulimits else we will get an error like “max number of threads for user is too low, increase to at least ” so to overcome this issue make below changes you should run. # ulimit -n 65536 # ulimit -u 2048 Or you may edit the file to make changes permanent # vim /etc/security/limits.conf elasticsearch - nofile 65536 elasticsearch soft nofile 64000 elasticsearch hard nofile 64000 elasticsearch hard nproc 4096 elasticsearch soft nproc 4096 Save files using :wq Step 7: Configure Elasticsearch Now make some configuration changes like cluster name or node name to make our single node cluster live. # cd /usr/local/elasticsearch/ Now, look for the below keywords in the file and change according to you need # vim conf/elasticsearch.yml cluster.name: kapendra-cluster-1 node.name: kapendra-node-1 http.port: 9200 to set this value to your IP or make it 0.0.0.0 ID needs to be accessible from anywhere from the network. Else put your IP of localhost network.host: 0.0.0.0 There is one more thing if you have any dedicated mount pint for data then change the value for #path.data: /path/to/data to your mount point.

Your configuration should look like the above. Step 8: Starting Elasticsearch Cluster As the Elasticsearch setup is completed. Let the start Elasticsearch cluster with elastic search user so first switch to elastic search user and then run the cluster # su - elasticsearch $ /usr/local/elasticsearch/bin/elasticsearch 22278 Step 9: Verify Setup You have all done it, just need to verify the setup. Elasticsearch works on port default port 9200, open your browser to point your server on port 9200, You will find something like the below output http://localhost:9200 or http://192.168.56.101:9200 at the end of this article, you have successfully set up Elasticsearch single node cluster. In the next few articles, we will try to cover a few commands and their setup in the docker container for development environments on local machines. Read the full article

[govindhtech]

Amazon QuickSight: Hyperscale Unified Business Intelligence

Amazon QuickSight, Business Analytics Service: Hyperscale unified business intelligence

What is Amazon Quicksight?

You may utilize Amazon QuickSight, a cloud-scale business intelligence (BI) tool, to provide your colleagues with clear insights no matter where they are. Data from several sources is combined via Amazon QuickSight, which links to your data in the cloud. QuickSight can combine data from AWS, third parties, spreadsheets, SaaS, B2B, and other sources into a single data dashboard. As a fully managed cloud-based solution, Amazon QuickSight offers built-in redundancy, worldwide availability, and enterprise-grade security. You can scale from 10 users to 10,000 with its user-management features, and you won’t need to deploy or manage any infrastructure.

QuickSight provides a visual environment that allows decision makers to examine and analyze information. Any device on your network, including mobile devices, can safely access dashboards.

Amazon QuickSight BI

Created with all end users in mind

Answers with pertinent visuals can be provided to end users in organizations who ask queries in natural language.

Analysts for business

Business analysts don’t need client software or server infrastructure to generate and distribute pixel-perfect dashboards and visualizations in a matter of minutes.

With strong AWS APIs, developers can scale and implement integrated analytics for apps with hundreds or thousands of users.

Managers

QuickSight adapts to the demand automatically, allowing administrators to deliver constant performance. Because of its pay-per-session model, QuickSight is affordable for both small and large-scale implementations.

What Makes QuickSight Unique?

Individuals inside your company make decisions that impact your company on a daily basis. They can take the decisions that will steer your business in the right path if they have the proper information at the right time.

For analytics, data visualization, and reporting, Amazon QuickSight offers the following advantages:

Pay just for the things you use.

Add tens of thousands of users.

It’s simple to incorporate statistics to make your apps stand out.

All users can enable BI with QuickSight Q

The response time of the SPICE in-memory engine is lightning fast.

The total cost of ownership (TCO) is inexpensive and there are no license fees up front.

Analytics for collaboration without requiring the installation of an application.

Consolidate several data sources into a single study.

Share your analysis as a dashboard by publishing it.

Activate the dashboard’s functions.

You can avoid managing fine-grained database permissions because dashboard visitors can only see the content you share.

More capabilities are available for more experienced users with QuickSight Enterprise edition

Includes the following additional enterprise security features:

Single sign-on (IAM Identity Center), federated users, and groups using AWS Directory Service for Microsoft Active Directory, SAML, OpenID Connect, or Identity and Access Management (IAM) Federation.

Specific authorization to access AWS data.

Row-level protection.

At-rest, extremely safe data encryption.

Access to Amazon Virtual Private Cloud data as well as on-premises data

For users assigned to the “reader” security role dashboard subscribers who view reports but do not generate them it provides pay-per-session pricing.

Enables you to integrate QuickSight with your own apps and websites by implementing dashboard sessions and console analytics incorporated.

Enables value-added resellers (VARs) of analytical services to use our business’s multitenancy features.

Allows you to write dashboard templates programmatically so they may be shared across different AWS accounts.

Organizes and manages access more easily with shared and private folders for analytical resources.

More frequent scheduled data refreshes and higher data import quotas for SPICE data intake are made possible.

Watch the video below for a two-minute overview of Amazon QuickSight and to find out more. All the pertinent information is in the audio.

Amazon Q in QuickSight

With the help of your generative AI helper, gain insights more quickly and make smarter decisions.

For everyone, generative business intelligence

Make decisions more quickly and increase company efficiency with QuickSight’s Generative BI features, which are powered by Amazon Q. With dashboard-authoring capabilities, business analysts can quickly create, discover, and disseminate insightful information through natural language prompts. Make data easier for business users to grasp with configurable data stories, executive summaries, and a context-aware Q&A experience that uses insights to guide and influence choices.

Visual dashboards that are dynamic and created by you

It’s simple to create impressive dashboards by using natural language to express your goals. You can use natural language prompts to create, find, hone, and share valuable insights in a matter of minutes.

Use your data to create intriguing narratives

Produce eye-catching documents and presentations that make your data come to life. Highlight important discoveries, clearly communicate complicated concepts, and provide doable next steps to advance your company.

Your Q&A experience was transformed

Investigate your data with confidence outside of the constraints of pre-made dashboards. Suggested inquiries, data previews, and support for ambiguous searches make it simple to find important insights in your data.

More methods QuickSight’s Amazon Q provides faster insights.

Quickly create intricate computations

It’s no longer necessary to commit syntax to memory or look up computation references. Amazon Q makes it easy and uncomplicated to build computations using natural language.

Produce executive summaries in real time

Create executive summaries, period-over-period changes, and important insights quickly from anywhere on your dashboard with Amazon Q.

Amazon Q in QuickSight benefits

Get more done with AI

Business users can quickly create, find, and share actionable insights with Amazon Q’s Generative BI features in QuickSight. When new queries arise, users don’t have to wait for BI teams to update dashboards. Self-serve querying, automated executive summaries, and interactive data storytelling with natural language prompts are all made feasible by generative BI. By rapidly creating and improving computations and graphics, business analysts can increase productivity with Generative BI.

Ensure privacy and security

With security and privacy in mind, Amazon Q was created. It can comprehend and honor your current governance identities, roles, and permissions to tailor its interactions. Amazon Q is made to satisfy the most exacting business needs in QuickSight. Users cannot access data within Amazon Q if they are not allowed to do so without it. No one other than you can utilize your data or Amazon Q inputs and outputs to enhance models of Amazon Q.

Utilize AI analytics to empower everyone

Amazon Q in QuickSight makes it easy and clear for anyone to confidently understand data. AI-driven analytics enable data-driven decision-making for everyone with easily accessible and actionable insights, regardless of experience level. Even ambiguous questions in natural language are addressed with thorough, contextual responses that provide detailed explanations of data together with images and anecdotes to ensure that everyone can examine the information and comprehend it more thoroughly.

Amazon QuickSight pricing

Amazon QuickSight on the Free TierPRODUCTDESCRIPTION FREE TIER OFFER DETAILS PRODUCT PRICINGAmazon QuickSightFast, easy-to-use, cloud-powered business analytics service at 1/10th the cost of traditional BI solutions.30 Days Free10 GB of SPICE capacity for the first 30 days for free for a total of 4 usersAmazon QuickSight Pricing

Read more on Govindhtech.com

[this-week-in-rust]

This Week in Rust 571

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

Project/Tooling Updates

An update on Apple M1/M2 GPU drivers

Announcing Toasty, an async ORM for Rust

gitoxide - October 2024

Glues v0.4 - MongoDB support and Vim editing features

Meilisearch 1.11 - AI-powered search & federated search improvements

Observations/Thoughts

Toward safe transmutation in Rust

The performance of the Rust compiler

A new approach to validating test suites

Why You Shouldn't Arc a HashMap in Rust

Implementing the Tower Service Trait

Best Practices for Derive Macro Attributes in Rust

Trimming down a rust binary in half

A deep look into our new massive multitenant architecture

Unsafe Rust Is Harder Than C

Generators with UnpinCell

Which LLM model is best for generating Rust code?

Learnings from Contributing to the Rust Project

Dyn Box Vs. Generics: What is the best approach for achieving conditional generics in Rust?

Rust Walkthroughs

Basic Integer Compression

Miscellaneous

Rust Prism

[audio] Rust vs. C++ with Steve Klabnik and Herb Sutter

[audio] What's New in Rust 1.76, 1.77, and 1.78

[video] Talk on Chrome's new Rust font stack, fontations

[video] Architecting a Rust Game Engine (with Alice Cecile)

[video] Gitoxide: What it is, and isn't - Sebastian Thiel

Crate of the Week

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. The following RFCs would benefit from user testing before moving forward:

RFCs

No calls for testing were issued this week.

Rust

No calls for testing were issued this week.

Rustup

No calls for testing were issued this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new 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.

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.

wtx - [HTTP/2] Investigate requests latency

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.

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

Rust Compiler Performance Triage

This week saw a lot of activity both on the regressions and improvements side. There was one large regression, which was immediately reverted. Overall, the week ended up being positive, thanks to a rollup PR that caused a tiny improvement to almost all benchmarks.

Triage done by @kobzol. Revision range: 3e33bda0..c8a8c820

Summary:

(instructions:u) mean range count Regressions ❌ (primary) 0.7% [0.2%, 2.7%] 15 Regressions ❌ (secondary) 0.8% [0.1%, 1.6%] 22 Improvements ✅ (primary) -0.6% [-1.5%, -0.2%] 153 Improvements ✅ (secondary) -0.7% [-1.9%, -0.1%] 80 All ❌✅ (primary) -0.5% [-1.5%, 2.7%] 168

6 Regressions, 6 Improvements, 4 Mixed; 6 of them in rollups 58 artifact comparisons made in total

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.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

Rust

[disposition: merge] Decide whether blocks inside asm goto should default to safe

[disposition: merge] #[inline(never)] does not work for async functions

[disposition: not specified] Add LowerExp and UpperExp implementations to NonZero

Cargo

No Cargo Tracking Issues or PRs entered Final Comment Period this week.

Language Team

No Language Team Proposals entered Final Comment Period this week.

Language Reference

No Language Reference RFCs entered Final Comment Period this week.

Unsafe Code Guidelines

No Unsafe Code Guideline Tracking Issues or PRs entered Final Comment Period this week.

New and Updated RFCs

[new] RFC: Labeled match

[new] RFC: Never patterns

[new] [RFC] Allow packed types to transitively contain aligned types

[new] [RFC] Target Modifiers

Upcoming Events

Rusty Events between 2024-10-30 - 2024-11-27 🦀

Virtual

2024-10-31 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-10-31 | Virtual (Nürnberg, DE) | Rust Nurnberg DE

Rust Nürnberg online

2024-11-01 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2024-11-02 | Virtual( Kampala, UG) | Rust Circle Kampala

Rust Circle Meetup

2024-11-06 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2024-11-07 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2024-11-08 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2024-11-12 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2024-11-14 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-11-14 | Virtual and In-Person (Lehi, UT, US) | Utah Rust

Green Thumb: Building a Bluetooth-Enabled Plant Waterer with Rust and Microbit

2024-11-14 | Virtual and In-Person (Seattle, WA, US) | Seattle Rust User Group

November Meetup

2024-11-15 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2024-11-19 | Virtual (Los Angeles, CA, US) | DevTalk LA

Discussion - Topic: Rust for UI

2024-11-19 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2024-11-20 | Virtual and In-Person (Vancouver, BC, CA) | Vancouver Rust

Embedded Rust Workshop

2024-11-21 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Trustworthy IoT with Rust--and passwords!

2024-11-21 | Virtual (Rotterdam, NL) | Bevy Game Development

Bevy Meetup #7

2024-11-26 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

Europe

2024-10-30 | Hamburg, DE | Rust Meetup Hamburg

Rust Hack & Learn October 2024

2024-10-31 | Berlin, DE | OpenTechSchool Berlin + Rust Berlin

Rust and Tell - Title

2024-10-31 | Copenhagen, DK | Copenhagen Rust Community

Rust meetup #52 sponsored by Trifork and OpenZeppelin

2024-11-05 | Copenhagen, DK | Copenhagen Rust Community

Rust Hack Night #10: Rust <3 Nix

2024-11-06 | Oxford, UK | Oxford Rust Meetup Group

Oxford Rust and C++ social

2024-11-06 | Paris, FR | Paris Rustaceans

Rust Meetup in Paris

2024-11-12 | Zurich, CH | Rust Zurich

Encrypted/distributed filesystems, wasm-bindgen

2024-11-13 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup

2024-11-14 | Stockholm, SE | Stockholm Rust

Rust Meetup @UXStream

2024-11-19 | Leipzig, DE | Rust - Modern Systems Programming in Leipzig

Daten sichern mit ZFS (und Rust)

2024-11-21 | Edinburgh, UK | Rust and Friends

Rust and Friends (pub)

2024-11-21 | Oslo, NO | Rust Oslo

Rust Hack'n'Learn at Kampen Bistro

2024-11-23 | Basel, CH | Rust Basel

Rust + HTMX - Workshop #3

North America

2024-10-30 | Chicago, IL, US | Deep Dish Rust

Rust Workshop: deploying your code

2024-10-31 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2024-11-04 | Brookline, MA, US | Boston Rust Meetup

Coolidge Corner Brookline Rust Lunch, Nov 4

2024-11-07 | Montréal, QC, CA | Rust Montréal

November Monthly Social

2024-11-07 | St. Louis, MO, US | STL Rust

Game development with Rust and the Bevy engine

2024-11-12 | Ann Arbor, MI, US | Detroit Rust

Rust Community Meetup - Ann Arbor

2024-11-14 | Mountain View, CA, US | Hacker Dojo

Rust Meetup at Hacker Dojo

2024-11-15 | Mexico City, DF, MX | Rust MX

Multi threading y Async en Rust parte 2 - Smart Pointes y Closures

2024-11-15 | Somerville, MA, US | Boston Rust Meetup

Ball Square Rust Lunch, Nov 15

2024-11-19 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2024-11-23 | Boston, MA, US | Boston Rust Meetup

Boston Common Rust Lunch, Nov 23

2024-11-25 | Ferndale, MI, US | Detroit Rust

Rust Community Meetup - Ferndale

2024-11-27 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

Oceania

2024-10-31 | Auckland, NZ | Rust AKL

Rust AKL: Rust on AWS: Sustainability + Peace: Zero Stress Automation

2024-11-12 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust Meetup

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

Please submit quotes and vote for next week!

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

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[amberwallace]

The Structure of a ServiceNow Domain Hierarchy

Domain Separation in ServiceNow is a way to separate processes and data in different domains. Trusted Managed Services Providers like Jade Global should customize instances easily. It’s also known as ServiceNow Multitenant Platform Architecture. Explore the structure of a ServiceNow domain hierarchy https://shorturl.at/iulyc

[microevent]

MicrocosmWorks LLP a SaaS Application Development company provides multitenant applications, cloud based saas solutions and custom API developemnt services.

[cyber-techs]

Streamlining Tenant Management: Adding Remote Tenants in NAKIVO

Managing multiple clients or tenants efficiently is a crucial aspect of running a successful Managed Service Provider (MSP) business. NAKIVO Backup & Replication simplifies this process with its robust multitenant architecture, allowing you to add and manage remote tenants seamlessly. Here’s how NAKIVO helps streamline tenant management.

Why Multitenancy Matters

Multitenancy enables MSPs to manage multiple clients from a single interface while keeping each client’s data isolated and secure. This approach not only enhances security but also simplifies administration, making it easier to provide consistent and reliable services to all clients.

Adding Remote Tenants in NAKIVO

Centralized Management: NAKIVO’s centralized management console allows you to add and manage remote tenants without needing separate instances for each client. This saves time and reduces complexity, allowing you to oversee all your tenants from one place.

Isolation and Security: Each tenant in NAKIVO operates in a fully isolated environment, ensuring that their data and backup operations are secure and independent from other tenants. This isolation is critical for maintaining client trust and meeting compliance requirements.

Scalability: As your business grows, NAKIVO’s architecture scales effortlessly, allowing you to add more tenants without compromising performance. This scalability is essential for MSPs looking to expand their client base while maintaining high service levels.

Automation: NAKIVO offers powerful automation features that streamline tenant management. You can automate backup scheduling, reporting, and even recovery testing, reducing the manual workload and ensuring consistency across all tenants.

User-Friendly Interface: The user-friendly interface of NAKIVO makes it easy to add and configure remote tenants. With intuitive controls and clear guidance, even those new to the platform can quickly get up to speed.

Best Practices for Adding Remote Tenants

Standardize Configuration: Create standardized configurations for different types of clients to speed up the onboarding process.

Monitor Performance: Regularly monitor the performance of each tenant’s environment to ensure optimal operation and quickly address any issues.

Document Procedures: Maintain detailed documentation for your tenant management processes, ensuring that your team can follow best practices consistently.

Conclusion

NAKIVO Backup & Replication provides MSPs with a powerful tool for managing remote tenants efficiently. By leveraging its centralized management, security features, scalability, and automation, you can streamline tenant management, reduce overhead, and deliver consistent, high-quality service to all your clients. As your business grows, NAKIVO’s capabilities ensure that you can scale your operations smoothly, keeping your clients’ data protected and your services reliable.

[debsdaniel03]

🔴🚀 ¡Próximamente! Curso de Multi Tenant con Django 5 y Docker 🏢✨

Estoy emocionado de anunciar que estoy preparando un nuevo curso sobre Multi Tenant con Django 5. En este curso, aprenderás a crear aplicaciones multi-tenant robustas y escalables utilizando Django 5 y todas las herramientas en sus últimas versiones.

🔍 ¿Qué aprenderás?

❏ Configuración de entornos multi-tenant con entornos aislados y entornos compartidos (sucursales) ❏ Uso de Docker para la contenedorización y despliegue. ❏ Gestión de bases de datos y esquemas. ❏ Implementación de seguridad y autenticación. ❏ Optimización y escalabilidad. ❏ Y mucho más…

Este curso está diseñado para desarrolladores de todos los niveles que quieran llevar sus habilidades de Django al siguiente nivel. ¡No te lo pierdas!

🔔 Suscríbete y activa las notificaciones para no perderte ninguna actualización.

¡Nos vemos en el curso! 🚀

👉 Haz clic aquí para acceder a los cursos con descuento o inscribirte 👈 https://bit.ly/cursos-mejor-precio-daniel-bojorge

[dclessonsonline]

Are you ready to demystify the terminology of Cisco's Application Centric Infrastructure (ACI)? DC Lessons offers a fantastic course that's perfect for IT professionals, network engineers, and anyone eager to navigate the world of ACI with confidence. https://www.dclessons.com/aci-terminology

[samyupatnana]

Csmart: Enabling Speedy MVNO Launches in Europe

About Client: A leading entity in the Spanish telecom sector, our client delivers state-of-the-art IoT & 5G solutions to companies and MVNE services to telecoms of varying sizes.

Objective: Their mission is to build a fully managed multi-tenant MVNE platform and present it as a SaaS model to supply scalable MVNE services, facilitating MVNOs to debut mobile brands with low initial investment.

Geo-specific Payment Gateway Integration: Integration with geo-specific payment gateways and provisioning systems has been implemented. This integration provides a connected ecosystem, enabling seamless transactions and service provisioning based on geographical location.

On-Cloud Multitenancy: Our platform supports on-cloud multitenancy, allowing multiple MVNOs to operate on the same platform while maintaining their individuality and independence. This reduces operational costs and increases efficiency.

Kore Wireless Success Story (csmart.digital)

[govindhtech]

Graviton4-based Amazon EC2 R8g Instances: Best Price Quality

AWS Graviton4

After being in preview since re:Invent 2023, the new AWS Graviton4-based Amazon Elastic Compute  Cloud (Amazon EC2) R8g instances are now generally available to everyone. Having created over 2 million Graviton processors, AWS offers more than 150 distinct AWS Graviton-powered Amazon EC2 instance types globally at scale. Additionally, over 50,000 customers use AWS Graviton-based instances to get the greatest pricing performance for their applications.

Amazon EC2 R8g Instances

Amazon’s most powerful and energy-efficient  processor, the AWS Graviton4, runs many Amazon EC2 applications. AWS Graviton4 employs 64-bit Arm instruction set architecture like other Graviton  CPUs. Graviton4-based Amazon EC2 R8g instances outperform R7g instances by 30%. This speeds up your hardest workloads, such as real-time big data analytics, in-memory caches, and high-performance databases.

Amazon Elastic Compute  Cloud (Amazon EC2) R8g instances with the latest AWS Graviton4 processors offer the best pricing performance for memory-optimized workloads. Databases, in-memory caches, and real-time big data analytics run well on Amazon EC2 R8g instances. Comparing R8g instances to the seventh-generation AWS Graviton3-based R7g instances, the former offer up to 30% greater performance and larger instance sizes with up to three times more vCPUs and memory.

Advantages

Amazon EC2’s best price-performance ratio for workloads with memory optimisation

Compared to R7g instances built on Graviton3, R8g instances perform up to 30% better. These instances are perfect for many applications, including databases, in-memory caches, and real-time big data analytics, and they come with DDR5-5600 memory.

Increased effectiveness of resources

Built on the AWS Nitro System are R8g instances. Fast local storage, private networking, and isolated multitenancy are all provided by the AWS Nitro System, which combines specialised hardware with a lightweight hypervisor.

Broad software support

The majority of widely used Linux operating systems are compatible with AWS Graviton-based instances. AWS Graviton-based instances are also supported by a large number of well-known security, monitoring and management, container, and continuous integration and delivery (CI/CD) apps and services from AWS and software partners. Utilising AWS Graviton-based instances, the AWS Graviton Ready programme provides approved software solutions from AWS Partner suppliers.

Qualities

Fueled by AWS Graviton4 chips

The most recent server  processor generation from AWS, called AWS Graviton4, offers workloads in Amazon EC2 the highest performance and energy efficiency. Compared to Graviton3 processors, AWS Graviton4 processors offer compute performance that is up to 30% higher.

Increased safety

With separate caches for each virtual  CPU and support for pointer authentication, AWS Graviton4 processors provide improved security. Amazon Elastic Block Store (Amazon EBS) encryption is also supported by EC2 R8g instances.

Based on the AWS Nitro Framework

Many of the typical virtualization tasks are delegated to specialised hardware and software via the AWS Nitro System, a comprehensive collection of building components. It lowers the overhead associated with virtualization by providing high performance, high availability, and high security.

EC2 R8g instances are powered by Arm-based AWS Graviton4 processors. They deliver the best price performance in Amazon EC2 for memory-intensive applications.

EC2 R8g

More than 100 customers, including Epic Games, SmugMug, Honeycomb, SAP, and ClickHouse, have tested their workloads on AWS Graviton4-based EC2 R8g instances since the preview announcement at re:Invent 2023 and have seen a notable performance boost over comparable instances. When it came to their picture and data compression activities, SmugMug found that utilising AWS Graviton4-based instances outperformed AWS Graviton3-based instances by 20–40%. In comparison to the non-Graviton based instances they utilised four years ago, Epic Games discovered that AWS Graviton4 instances are the fastest EC2 instances they have ever tested, and Honeycomb.io obtained more than twice the throughput per vCPU.

Now let’s have a look at some of the enhancements we’ve included to our new instances. In comparison to R7g instances, EC2 R8g instances offer bigger instance sizes with up to 3x more vCPUs (up to 48xl), 3x more memory (up to 1.5TB), 75% more memory bandwidth, and 2x more L2 cache. This facilitates processing bigger data sets, increasing workloads, speeding up outcomes, and reducing total cost of ownership. In comparison to Graviton3-based instances, which have maximum network bandwidth of 30 Gbps and maximum EBS bandwidth of 20 Gbps, R8g instances offer up to 50 Gbps network bandwidth and up to 40 Gbps EBS bandwidth.

The first Graviton instances to offer two bare metal sizes (metal-24xl and metal-48xl) are R8g instances. You can deploy workloads that gain from direct access to real resources and appropriately scale your instances. The specifications for EC2 R8g instances are as follows:

EC2 R8g instances offer the best energy efficiency for memory-intensive workloads in EC2 if you’re searching for more energy-efficient computing options to help you meet your sustainability goals and lessen your carbon footprint. Furthermore, these instances are based on the AWS Nitro System, which improves workload speed and security by delegating networking, storage, and  CPU virtualization tasks to specialised hardware and software. All high-speed physical hardware interfaces are securely encrypted by the Graviton4 processors, providing you with increased security.

EC2 R8g instances are best for Linux-based workloads like Docker, Kubernetes, and popular programming languages like C/C++, Rust, Go, Java, Python,.NET Core, Node.js, Ruby, and PHP. AWS Graviton4 processors execute web applications 30% faster, databases 40% faster, and large Java programmes 45% faster than AWS Graviton3 processors. Check out the AWS Graviton Technical Guide for additional information.

To begin moving your applications to Graviton instance types, have a look at the assortment of Graviton resources. To get started with Graviton adoption, you may also go to the AWS Graviton Fast Start programme.

R8g EC2

Availability

The US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Frankfurt) AWS Regions currently offer R8g instances.

Pricing

EC2 R8g instances can be bought through savings plans, on-demand, spot, and reserved instances. Go to Amazon EC2 pricing for further details.

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