This blog explains how Atmosly simplifies Kubernetes management by automating operations, enhancing security, optimizing costs, and unifying multi-cloud control—making it easier for teams to run scalable, secure, and efficient infrastructure.

Explore Amazon EKS Auto Mode and see how it simplifies Kubernetes cluster operations. Compare with Fargate, learn pricing, best practices, and how Atmosly adds even more automation and flexibility.

This blog explores how AI is transforming DevOps automation by addressing challenges like alert fatigue, infrastructure drift, deployment inefficiencies, and security vulnerabilities, while paving the way for intelligent, self-healing, and autonomous DevOps workflows. It also highlights how platforms like Atmosly are innovating in this space with AI-driven solutions.

Struggling with Kubernetes service exposure? This guide breaks down ClusterIP, NodePort, LoadBalancer & Ingress—plus, see how Atmosly simplifies connectivity with zero YAML hassle!

This blog highlights the rising importance of Kubernetes cost optimization in 2025, addressing key challenges like overprovisioning, idle resources, inefficient scaling, and lack of cost visibility. It provides actionable strategies, including rightsizing, autoscaling, cost monitoring, AI-driven scaling, and waste elimination, to help businesses reduce cloud expenses while maintaining performance and scalability.

Learn how to install, configure, and optimize Kube Prometheus Stack for Kubernetes monitoring with Helm, Grafana dashboards, and Alertmanager, ensuring scalability and observability for production workloads.

Learn how to seamlessly deploy applications from a local system to the cloud in minutes using CI/CD automation, containerization, and Infrastructure as Code (IaC) for efficient, scalable, and reliable deployments.

Explore smart caching strategies to optimize build times, reduce redundant computations, and enhance efficiency in CI/CD pipelines using tools like GitHub Actions, Docker BuildKit, and Gradle Build Cache.

Grafana has revolutionized cloud infrastructure monitoring with its seamless integration capabilities, customizable dashboards, and real-time alerting system. As cloud environments grow increasingly complex, Grafana provides the flexibility and scalability needed to optimize performance and ensure reliability.

Setting up a production-ready Kubernetes cluster on AWS EKS is no small feat—it demands precision, best practices, and time. But what if you could achieve it all in just 20 minutes?

Adopting best practices for microservices deployment is essential for ensuring smooth rollouts and unlocking the full potential of this modern architecture.

Jenkins has been a trailblazer in CI/CD automation, but its limitations—such as scalability challenges, maintenance overhead, and integration complexities—can hinder modern DevOps workflows.

The best deployment strategy for your application will depend on its unique characteristics and the needs of your users.

Migrating from ECS to EKS offers significant benefits, such as enhanced flexibility, scalability, and access to the Kubernetes ecosystem.

Automation is the cornerstone of a successful DevOps strategy for startups. From infrastructure provisioning to CI/CD pipelines and compliance, automating these processes frees up your team’s time, reduces errors, and accelerates time to market.

GitOps continues to redefine DevOps workflows by offering a unified, automated, and scalable approach to managing deployments.

Ephemeral environments have revolutionized testing in DevOps by offering isolated, production-like setups that cater to specific testing and development tasks.

Protect your containers with DevSecOps best practices. Learn how to manage vulnerabilities and integrate security throughout the container lifecycle.

Platform engineering is a strategic approach toward software development, which is contributing to higher productivity, collaboration, and efficiency.

Platform engineering and cloud security form a crucial relationship in securing cloud-native environments. By automating security controls, enforcing zero-trust principles, and integrating security checks directly into platform workflows.

The future of cloud security compliance will likely involve greater automation, AI-driven security tools, and more stringent regulations.

Kubernetes would be the platform able to manage the containerized applications, giving them strong scalability, flexibility, and the possibility to orchestrate a better work outcome of containerized workload on much higher levels.

Kubernetes is the new management backhaul of how we run our containerized workloads in the case of cloud-native applications. Its capability to automate almost everything that needs to happen - from deployment to scaling.

Kubernetes, the leading container Orchestration platform, has taken a significant step towards true cloud neutrality with the release of version 1.31.

By integrating Terraform’s Infrastructure-as-Code capabilities and supporting key Kubernetes add-ons, Atmosly offers a powerful solution for modern cloud infrastructure management.

With faster adoption of container and cloud, Kubernetes serves as a key orchestrator for deploying and managing containerized applications. However, ensuring the security of Kubernetes environments is crucial yet challenging. With Kubernetes, security must be a priority from the start.

Kubernetes network policies play a critical role in managing and securing communication within Kubernetes clusters. By default, Kubernetes allows unrestricted communication between pods, which might not be ideal for every organization, especially those handling sensitive data.

Discover the top 10 Terraform best practices to streamline your infrastructure automation. Learn how to optimize Terraform modules, manage state effectively, implement security measures, and more for a robust and scalable infrastructure.

Learn how Infrastructure as Code (IaC) simplifies multi-cloud management, ensures consistent infrastructure, and enhances security. Discover the best practices, tools, and how Atmosly streamlines IaC adoption for a seamless cloud experience.

Discover the importance of automating application deployment in the software development lifecycle. Learn about CI/CD pipelines, popular tools like Jenkins, GitLab, and AWS CodePipeline, and best practices for achieving seamless, error-free deployments.

Reduce AWS EKS cost with Optimizing strategies.Learn EKS Benefits and importance of cost optimisation using Spot,right-sizing instances & best practices.

Discover 9 innovative Kubernetes hacks that will transform your DevOps practices. Enhance efficiency, streamline workflows, and optimize your Kubernetes setup.

Discover the differences between horizontal and vertical scalability, their pros, cons, and when to use each method. Make informed decisions for your project's performance

Discover how automation streamlines processes, collaboration fosters teamwork, and security fortifies systems in DevOps for efficiency and innovation.

Learn how to enhance your Kubernetes security with admission controllers. Explore best practices, setup guides, and the role of admission controllers in maintaining Kubernetes clusters.

Discover the best open-source monitoring tools for DevOps in 2024. Learn how these tools enhance performance, scalability, and reliability, and why they're essential for high availability in IT infrastructures.

Discover the best container orchestration tools for your business. Compare Kubernetes, Docker Swarm, and other top solutions to optimize deployment, and scalability of your applications.

Discover how chaos engineering can enhance your system's resilience. Learn about controlled experiments, key principles, and best practices to mitigate potential failures.

Securing your Kubernetes cluster is not a one-time effort but an ongoing process. It requires a proactive approach, leveraging best practices, robust tools, and comprehensive platforms like Atmosly.

Explore how cloud-native technologies like Kubernetes and Docker revolutionize DevOps by enhancing scalability, resilience. Discover best practices and tools for development.

Managing secrets in Kubernetes is a critical aspect of ensuring the security and integrity of your applications. However, you must adopt the right tools, platform, and best practices if you want to secure your Kubernetes Secrets.

GitHub, GitLab, and Argo Workflow are three powerful tools with unique capabilities for managing pipelines in software development.

Learn the best practices for upgrading EKS on AWS. Discover how to manage EKS versions and ensure a smooth and efficient upgrade process for your Kubernetes environment.

IaC is the future of platform engineering, and Atmosly is leading the way as a game changer in the field. Top companies utilizing IaC with platform engineering tools and principles have shown more scalability, efficiency, and more quality delivery.

Implementing DevSecOps is crucial for modern software development, as it integrates security practices throughout the development lifecycle.

GitOps is a modern approach to DevOps that uses version control systems like Git to manage infrastructure and application code. It streamlines software delivery by automating processes and ensuring that the actual state of the system matches the desired state defined in Git.

Explore the key differences between DevOps and Platform Engineering. Understand their unique roles, focus areas, tools, and how they complement each other.

Each of the top 10 Heroku alternatives mentioned in this article provides unique features and benefits, catering to diverse needs in the development and deployment of applications.

Monitoring application health through logging and metrics is essential for developers.

Microservices are awesome - they're like building blocks for flexible, fast-growing apps. But scaling them up can be tricky. Imagine your app as a bustling city, and each service is a different shop.

Kubernetes has become the cornerstone of modern container orchestration, but its complexity can lead to various challenges, especially when troubleshooting issues.

Software development practices have evolved remarkably, driven by technological advancements, changing business demands, and evolving user expectations.

By proactively identifying and fixing issues before they impact users, application monitoring prevents costly downtime, optimizes performance for faster loading times and smoother workflows.

Welcome to the world of platform engineering, where innovation and efficiency intersect! As a platform engineer, you understand how crucial it is to have the right set of tools on hand.

The way softwares and applications are developed has changed rapidly in the last one decade. This change will continue at a fast pace with the development of Artificial intelligence and machine learning ( AI/ML )

The power and flexibility of managed Kubernetes platforms like EKS, GKE, and AKS can't be understated, but even the best tools require upkeep.

The software development landscape is undergoing a significant transformation, driven by technology's rapid evolution and the increasing demand for scalable and efficient software solutions.

How we build, deploy, and manage applications has radically changed, thanks to the rise of microservices and scalable applications which necessitated the need for containers.

Are you tired of your development team spending countless hours on repetitive tasks instead of focusing on innovation?

Achieving agility, scalability, efficiency, and security is paramount in modern software development.

GitOps and DevOps are two distinct methodologies, each offering its unique approach and set of tools for software teams.

The integration of DevSecOps and CI/CD through Atmosly ushers in a new era of software development. It's a transformative journey that empowers businesses to develop and deploy applications.

In the fast-paced world of DevOps and platform engineering, achieving true observability is more than a milestone—it's a game-changer.

An in-depth exploration of Helm, its charts, and how it simplifies the deployment of applications in Kubernetes

The historical context and evolution of platform engineering in the context of monolithic and microservices architectures.

The concept of cloud-agnostic platforms and how Kubernetes can help achieve flexibility in cloud provider choices.