#cloud native

[faisalakhtar12]

The Serverless Development Dilemma: Local Testing in a Cloud-Native World

Picture this: You’re an AWS developer, sitting in your favorite coffee shop, sipping on your third espresso of the day. You’re working on a cutting-edge serverless application that’s going to revolutionize… well, something. But as you try to test your latest feature, you realize you’re caught in a classic “cloud” vs “localhost” conundrum. Welcome to the serverless development dilemma! The…

[richardmhicks]

Microsoft Cloud PKI for Intune SCEP URL

Earlier this year, Microsoft announced Cloud PKI for Intune, a cloud service for issuing and managing digital certificates for Intune-managed endpoints. With Cloud PKI for Intune, administrators no longer need to deploy on-premises infrastructure to use certificates for user and device-based authentication for workloads such as Wi-Fi and VPN. Cloud PKI for Intune can be used standalone (cloud…

[mp3monsterme]

Cloud Native Architecture book

Its a busy time with books at the moment. I am excited to and pleased to hear that Fernando Harris‘ first book project has been published. It can be found on amazon.com and amazon.co.uk among sites. Having been fortunate enough to be a reviewer of the book, I can say that what makes this book different from others that examine cloud-native architecture is its holistic approach to the challenge.…

[gsoftcloud]

As businesses evolve, traditional monolithic applications become extremely difficult to scale, maintain, and deploy. 

Changing even a small part of the application demands rebuilding and revamping the total architecture, resulting in longer development cycles, operational bottlenecks, and system downtimes.  

By embracing modern-day microservices architecture, you can break free from these constraints and unlock new possibilities. By splitting the total application into small, independent services that communicate via APIs, you can:  

Scale individual services independently 

Deploy new features & updates quickly  

Isolate bugs and errors effectively 

Improve team productivity 

#CloudComputing #MicroservicesAdvantages #ScalabilityInTheCloud #EfficiencyAndFlexibility #CostEffectiveSolutions #CloudNativeArchitecture #DigitalTransformation #InnovationInTechnology #ModernizingInfrastructure #BusinessAgility #benefitsofmicroservices

[ict-123]

Cloud native deals with building, deploying, and managing modern applications in cloud computing environments to fully benefit from the scalability, flexibility, and efficiency provided by the cloud. 

[sparityinc]

Top 10 Cloud Native Development Strategies for Building Successful Applications

Introduction

Cloud native, a term commonly encountered in modern software development, signifies a fundamental shift in how applications are constructed and deployed. At its core, being cloud native represents an approach where applications are intentionally designed to utilize cloud infrastructure, rather than a traditional development more of capitalizing on its scalability, adaptability, and efficiency. In this blog, we explore the world of cloud native development strategies. We are providing you into the fundamental principles and practices that empower organizations to make the most of cloud computing’s potential in crafting resilient, highly available, and easily maintainable software solutions.

Microservices Architecture

Microservices architecture is an essential part of cloud native development techniques and has several advantages for the creation and deployment of contemporary applications. This method divides applications into smaller, independent services that may be developed, deployed, and scaled independently. Because development teams can work on discrete components, this granularity promotes agility and accelerates up the release of new features and bug fixes. Microservices are also made to be stateless and simple to replace, which increases resilience in a cloud setting where errors can happen. Cloud native microservices also make leverage on containerization and orchestration tools like Kubernetes, providing automated management, seamless scalability, and effective resource use. Additionally, this design adheres to the continuous integration/continuous deployment (CI/CD) and DevOps concepts, enabling an optimized, automated development process.

Here is a statement by Google Cloud on Microservices

Containers

Containers are portable, lightweight, and isolated environments used to run software programs. This makes deployment consistent and effective, which is appropriate for contemporary software development and deployment operations. They package everything required to run.

Containers play a crucial role in cloud native development approaches. They make it possible for programmers to develop an deploy softwares that take advantage of the scalability, agility, and flexibility of cloud environments. Developers may produce uniform and portable software units that work easily across a variety of cloud platforms by isolating applications and their dependencies into containers. This is in line with cloud native concepts like microservices architecture, continuous integration and continuous deployment (CI/CD), and auto-scaling, enabling businesses to quickly create, release, and grow cloud native apps. Furthermore, their capability to effectively coordinate and manage application deployments.

DevOps

A cloud native development strategy that incorporates DevOps offers an innovative methodology where cloud technologies and DevOps processes merge. Microservices, containers, and orchestration, all of which abide to DevOps principles, are essential to cloud native development. Within this framework, DevOps teams are able to fully automate all phases of the software development lifecycle, from development and testing through deployment and monitoring. DevOps practices like continuous integration/continuous deployment (CI/CD) enable quick and reliable application delivery, while cloud native solutions like Kubernetes and serverless computing improve scalability and resource efficiency.

As a result, development cycles are shortened, time to market is accelerated, reliability elevates, and operational constraints are minimized. DevOps in a cloud native context is a crucial method for modern software development due to how it effortlessly combines cost-effective DevOps strategies with the pay-as-you-go model and on-demand resources of the cloud.

APIs

In order to enable smooth integration and communication between microservices and cloud native apps, APIs are fundamental to cloud native development techniques. They support modular development approaches by providing a standardized and scalable way to provide functionality, data, and services. Data access and manipulation are made simpler by cloud native APIs, which are frequently created utilizing concepts like RESTful architecture or technologies like GraphQL. They enhance agility and scalability, which are essential for cloud native applications, by abstracting away infrastructure complexities. As an integration agent between microservices and other cloud native components, APIs are crucial in ensuring interoperability across modern application ecosystems. APIs are a crucial component of any cloud native development strategy because of their flexibility and modularity, which enable developers to create scalable, robust, and effective cloud native apps that can adjust to changing business needs.

Serverless Computing

A key element of cloud native development methodologies is serverless computing. By eliminating server management from the equation, it streamlines application deployment. Developers merely concentrate on the code, which improves agility and scalability. With its function-based methodology, serverless supports modularity and makes maintenance simpler. Its cost-effectiveness lowers resource idle expenses because you only pay for actual compute consumption. As cloud providers manage infrastructure for high availability, it also enhances fault tolerance. The ability to build and deploy quickly supports the DevOps culture. For instance, In a ride-sharing app like Uber, serverless computing handles tasks like fare calculation, driver assignment, and notifications, promoting scalability and efficiency in a cloud native development strategy. Where the application doesn’t need to provision and manage a specific server to process the request.

Reference picture of modern approach to implementing the serverless Customer Data Platform

Credits: AWS

Orchestration

A key component of a cloud native development strategy is orchestration, which supports the concepts of scalability, flexibility, and resilience. Orchestration demonstrates the automated administration of containers, microservices, and infrastructure parts in the context of cloud native applications, assuring effective deployment and scaling.

Platforms for container orchestration, like Kubernetes, have emerged as a pillar of cloud native development. They automate processes like load balancing, self healing capabilities, scalability, and container deployment. The development and deployment pipeline is streamlined by this automation, which frees engineers to concentrate on producing code rather than maintaining infrastructure. The dynamic distribution of resources made possible by orchestration also helps programs adapt to shifting traffic and workloads. This elasticity guarantees high availability, cost-effectiveness, and optimal resource utilization. It also promotes the division of large monolithic apps into smaller.

During peak shopping seasons, Kubernetes can automatically scale up the containerized services to handle increased traffic. When the traffic subsides, it scales them down to save resources.

Service Mesh

A service mesh is a crucial component of cloud native development strategies. Microservices-based apps are widely used in cloud native designs, which enhances their management and observability. By providing a specific infrastructure layer for managing communication between services, service mesh enables capabilities like load balancing, security, and traffic control. By facilitating communication between services, it frees up developers to focus on business logic rather than networking difficulties. In addition, service mesh enables incremental deployments and canary releases, lowering risk and downtime during updates. Its ability to collect metrics and logs provide helpful information for diagnosing and upgrading applications, ensuring them efficient operation in shifting cloud environments. For understanding, A canary release strategy, which gradually directs a small portion of user traffic to the new version of a service while tracking its performance, can be enabled by the service mesh during a software update. The service mesh can automatically to redirect traffic to the stable version if complications arise minimizing disruptions.

Watch the video for a clear understanding what canary testing is ?

CI/CD

CI/CD automates the entire software development lifecycle, from code integration through deployment, as part of a cloud native development approach. Scalability and flexibility are increased by using cloud services like serverless computing and containerization. Automatic scalability, versioning, and rollback are made possible by software like Jenkins X and GitLab CI/CD, which smoothly connect with cloud services. As it permits modular, independent deployments, CI/CD promotes microservices design in a cloud native setting. This promotes agility. This method fully embodies the ideals of cloud native development since it accelerates development, improves reliability, and optimizes resource utilization. While preserving high availability and dependability in the cloud native environment, it makes sure that software upgrades are continuously tested and deployed, facilitating faster delivery of new features and improvements.

IaC

A key element of a cloud native development approach is infrastructure as code (IaC). Instead of using manual settings, it entails designing and supplying infrastructure and resources through code. IaC has unique benefits when used in a cloud native environment. By enabling developers to quickly spin up or pull down resources as needed, it supports the scalability of cloud native principles of elasticity. Additionally, it improves consistency and reproducibility, making sure that surroundings at various phases of development appropriately reflect one another. IaC also makes it easier for cross-functional teams to collaborate because code-based infrastructure can be shared and version-controlled. Additionally, it encourages automation, making it possible to deploy containers and microservices, both of which are essential for creating cloud native apps. Terraform, AWS CloudFormation, Kubernetes YAML, Docker Compose, Serverless Framework, Pulumi are some IaC tools.

Security Practices

A cloud native development strategy must include security policies to secure apps and data in dynamic cloud environments. By implementing in place stringent access rules and constant authentication, adopting a Zero Trust approach improves security. The explosion radius of potential breaches is reduced by isolation and segmentation made possible by containerization and microservices. For locating and addressing vulnerabilities, regular security audits, vulnerability scanning, and penetration testing are essential. Automated DevSecOps pipelines incorporate security into the development process, facilitating quick vulnerability discovery and patching. Further strengthening protections against data breaches and unwanted access are encryption, effective identity management, and rigorous API security. To protect infrastructure and apps that are cloud native, a security-centric approach is necessary.

Conclusion

A comprehensive cloud native development strategy covers a wide array of critical components beyond those explored here. Agility is at the forefront, enabling rapid adaptation to changing business needs. Monitoring and observability provide the crucial insights needed to optimize performance and troubleshoot issues in real-time. Databases, too, play a pivotal role in maintaining data integrity and accessibility within dynamic cloud native ecosystems.

Successful companies understand that a holistic cloud native approach is not merely a technological shift but a cultural one, emphasizing collaboration, automation, and a relentless commitment to enhancing software delivery. As technology continues to evolve, embracing these strategies becomes increasingly essential for organizations aiming to thrive in the digital age

[fioranosoftware]

"Learn effective resource management and scaling techniques in Kubernetes to optimize your containerized applications."

Visit us at https://www.fiorano.com/

[technomark]

The business sector did its best to adapt as the past two years delivered many spontaneous twists and turns. In the face of a global pandemic, offices all around the world hastily put together remote work policies. Businesses will continue to employ a mixed workforce model since many have discovered that remote labor increases flexibility and lowers overhead. 63% of rapidly expanding companies have already embraced a hybrid business model.

[itsrajivsrivastava]

Seven Models of Cloud Native Applications

Introduction In today’s cloud-driven landscape, organizations are transitioning from legacy monolithic systems to agile, scalable, and secure cloud-native solutions. Some are even forging new cloud-native applications. However, the concept of cloud-native design remains subjective, lacking a universal blueprint. This blog aims to provide clarity and guidance for designing precise cloud-native…

[gleecus-techlabs-blogs]

Cloud-native approach aims to build applications based on cloud, leveraging various tools provided by the cloud provider. DevOps automates development and operations synergy, a cornerstone for successful cloud-native adoption. 

[yanashin-blog]

Serverless is a direction, not a destination

Functions are not the point

Managed services are not the point

Ops is not the point

Cost is not the point

Code is not the point

Technology is not the point

The point is focus Serverless is a way to focus on business value.

[mikekelvin]

What are the future trends in Cloud application development?

Cloud computing is a rapidly evolving field that has seen tremendous growth and innovation in recent years. Several emerging trends and technologies are shaping the landscape of cloud computing, enabling organizations to achieve greater efficiency, scalability, and flexibility in their operations. Let's explore some of these trends along with relevant statistics and figures.

1. Serverless Computing: One significant trend in cloud computing is the rise of serverless computing, where developers can build and run applications without the need to provision or manage servers. According to a report by Allied Market Research, the serverless architecture market is expected to reach $21.99 billion by 2025, growing at a CAGR of 26.0% from 2018 to 2025. This technology allows businesses to focus more on application development rather than infrastructure management.

2. Edge Computing: With the proliferation of Internet of Things (IoT) devices and the need for low-latency processing, edge computing has gained traction. Edge computing enables data processing at or near the source, reducing the time and bandwidth required to transmit data to the cloud. By 2025, it is estimated that the global edge computing market will reach $43.4 billion, as per a report by MarketsandMarkets. This trend allows for faster response times, improved security, and reduced network congestion.

3. Multi-Cloud and Hybrid Cloud: Many organizations are adopting multi-cloud and hybrid cloud strategies to leverage the benefits of different cloud providers and architectures. According to a survey by Flexera, 93% of enterprises have a multi-cloud strategy, and 87% have a hybrid cloud strategy. This approach allows businesses to avoid vendor lock-in, optimize costs, and achieve greater flexibility and resilience.

4. Containers and Kubernetes: Containers, such as Docker, and container orchestration platforms like Kubernetes, have gained significant popularity in cloud computing. According to a report by MarketsandMarkets, the global container orchestration market is projected to reach $743 million by 2023, growing at a CAGR of 38.4% during 2018-2023. Containers enable efficient application deployment and scalability, while Kubernetes simplifies the management of containerized applications across different cloud environments.

5. Artificial Intelligence (AI) and Machine Learning (ML) in the Cloud: AI and ML technologies are being increasingly integrated into cloud platforms, providing powerful capabilities for data analysis, pattern recognition, and predictive modeling. According to IDC, worldwide spending on AI systems is forecasted to reach $97.9 billion in 2023, more than double the amount spent in 2019. Cloud-based AI and ML services enable businesses to leverage these advanced technologies without significant upfront investments in infrastructure and expertise.

These emerging trends and technologies in cloud computing are revolutionizing the way organizations operate and achieve their goals. They offer immense potential for scalability, cost optimization, improved performance, and innovation. As the cloud computing landscape continues to evolve, staying abreast of these trends and effectively leveraging them can provide a competitive advantage in today's digital age.

[peterbordes]

(via His Previous Business Is Worth $1 Billion And Now Raised $54 Million To Create A Cloud-Native Database Service)

His previous business is worth $1 Billion and now he has raised $54 million to create Neon, a cloud native database service. Neon’s serverless Postgres allows you to instantly branch your Postgres database to support a modern development workflow. The multi-cloud fully managed Postgres with a generous free tier, separates storage and compute to offer autoscaling, branching, and bottomless storage.

Nikita Shamgunov built a $100M revenue company, before joining Khosla Ventures to invest in other startups. Now he is going at it again, with a new tech startup that has raised $54M in just 16 months. The Neon team consists of PostgreSQL contributors and technologists on a mission to create a cloud-native database service for every developer. Neon CEO is Nikita Shamgunov, co-founder of MemSQL / SingleStore.

[mylifeinpixels]

Day hike grid

Lava plug rock formation 🪨