Field notes on running Kubernetes with less toil — AI SRE and incident response, CI/CD and golden paths, continuous security, cost, and the internal developer platform that ties them together.
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ai-revolutionThis 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.
kubernetesChoosing the right way to expose services in Kubernetes is essential for reliability, cost control and security. This guide explains the differences between ClusterIP, NodePort, LoadBalancer and Ingress — when to use each, real YAML examples, and production best practices for retention, HA and routing. You'll also learn how Atmosly removes YAML complexity by provisioning ClusterIP or public LoadBalancer + Ingress automatically, handling SSL termination, routing and health checks from the UI.
GeneralA practitioner's playbook for cutting Kubernetes costs — nine strategies in order of return, from deleting orphaned resources and enabling free VPC endpoints through to p95 right-sizing, node consolidation and spot adoption, with the commands and config for each.
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kubernetesMonitoring Kubernetes effectively requires the right tools. The Kube Prometheus Stack simplifies observability by combining Prometheus, Grafana, and Alertmanager into one scalable monitoring solution. In this guide, learn how to install, configure, and optimize it using Helm or automate it completely with Atmosly for Day-0 monitoring.
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deploymentManually moving your app to the cloud is slow and error-prone. This guide shows how to automate it in minutes.
GeneralCloud computing has revolutionized the operational practices of businesses with unprecedented scalability, flexibility, and efficiency. However, as organizations increasingly rely on multi-cloud and h...
kubernetesEffective monitoring is the backbone of any production-grade Kubernetes cluster. Open-source tools such as Prometheus, Grafana, Loki and Fluentd help teams achieve complete observability across workloads, infrastructure and applications — without relying on expensive proprietary software. This guide explores how to integrate these tools into your Kubernetes environment for metrics collection, log aggregation and alerting, with best practices, deployment examples and optimization techniques for efficient, secure, cost-effective cluster monitoring.
GeneralGrafana 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.
platform-engineeringLearn how to quickly and efficiently create a production-ready AWS EKS cluster in just 20 minutes. This comprehensive guide covers all the essential steps, best practices, and configurations needed for a robust Kubernetes environment on AWS.
devopsAdopting best practices for microservices deployment is essential for ensuring smooth rollouts and unlocking the full potential of this modern architecture.
devopsChoosing the right DevOps tool is critical for optimizing your software development workflows. While Azure DevOps offers robust capabilities, evaluating alternatives can help teams find solutiions.
devsecopsJenkins has been a trailblazer in CI/CD automation, but its limitations — scalability challenges, maintenance overhead and integration complexity — can hinder modern DevOps workflows.
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