Tag: platform engineering
Zero Downtime Multicloud Migrations for Observability Control Planes
Deven Chawla | | control planes, distributed systems, multicloud, observability, platform engineeringMost platform teams aren’t deciding whether they’ll run across multiple clouds. They already are, or they’ll be soon. The real question is how to migrate critical systems without turning on-call into a ...
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Tom Smith | | agent orchestration, AI coding agents, AI in software delivery, Azure automation, Azure cost optimization, Azure Skills Plugin, Claude Code, cloud deployment, devops, Foundry MCP, GitHub Copilot, guardrails, infrastructure as code, institutional knowledge, MCP Server, Microsoft Azure, platform engineering, VS Code agent pluginsMicrosoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI ...
On-Call Rotation Best Practices: Reducing Burnout and Improving Response
Neel Shah | | alert fatigue, alert hygiene, automated remediation, burnout prevention, incident management, incident postmortem, mttr, observability, on‑call best practices, on‑call compensation, on‑call metrics, OpsGenie, pagerduty, platform engineering, rotation models, runbook automation, Runbooks, shadow rotation, SREPractical SRE on‑call guide covering rotation models, alert hygiene, runbooks, metrics, compensation, shadowing, and automation to cut pager load and prevent engineer burnout ...
Unlocking Observability by Design With Inferred Schemas
Nicolas Takashi | | observability, OpenTelemetry, platform engineering, schema governance, telemetry pipelinesObservability systems generate massive telemetry, but schema drift creates friction. Learn how inferred schemas and OpenTelemetry Weaver restore structure ...
The Great Infrastructure Migration: Why Teams are Moving From Manual Provisioning to Autonomous Platforms
Neel Shah | | autonomous infrastructure, DevOps productivity, infrastructure automation, platform engineering, self-service infrastructureAutonomous infrastructure platforms replace manual provisioning, accelerating delivery, improving compliance and freeing platform teams to focus on strategic work ...
GitOps Implementation at Enterprise Scale — Moving Beyond Traditional CI/CD
Sumanth Kadulla | | ArgoCD, change traceability, CI/CD migration, CI/CD reliability, cloud native delivery, configuration drift, declarative infrastructure, deployment automation, deployment rollback strategy, DevOps at scale, devsecops, dora metrics, gitops, GitOps adoption, GitOps security, infrastructure as code, Kubernetes continuous delivery, platform engineering, policy as code, pull-based deploymentsTraditional CI/CD pipelines hit scaling limits. Learn how GitOps improves deployment reliability, security, and DORA metrics—and what it takes to migrate successfully ...
SRE vs. DevOps is a False Choice: Here’s the Unified Model That Works
Michael Chukwube | | application performance, automation, collaboration, continuous integration, culture of learning, devops, incident response, platform engineering, reliability metrics, site reliability engineering, software development, SREDevOps and site reliability engineering (SRE) are complementary strategies that enhance both speed and reliability in software development. While DevOps focuses on collaboration and automation to break down silos between development and ...
Best of 2025: DevOps Evolution: From Movement to Platform Engineering in the AI Era
DevOps isn't dying - it's evolving. That's the perspective of Andi Grabner, who recently transitioned from DevOps Activist to Platform Engineering Advocate at Dynatrace. "The idea of DevOps is transforming. I agree ...
Proactive Problem-Solving: Observability Trends Every Leader Should Know
Neel Shah | | AI-driven observability, anomaly detection, application performance monitoring, customer experience monitoring, IT observability strategy, observability platforms, observability ROI, OpenTelemetry, platform engineering, predictive observability, proactive observability, reactive IT management, SRE practices, unified telemetryIn today’s rapidly evolving digital landscape, reactive IT management is no longer sustainable. Business leaders are increasingly recognizing that proactive observability has become necessary to maintain a competitive advantage and ensure operational excellence and customer satisfaction. Organizations that embrace advanced observability strategies can ...
re:Invent Proves It: DevOps Isn’t Dead, Cloud Native Isn’t Fading, and Platform Engineering Isn’t a Fad
What a difference two or three days make. When I first landed in Las Vegas for re:Invent and saw the keynote previews, it looked like AWS was putting all its chips on ...
What I’m Thankful for in DevOps This Year: Living Through Interesting Times
Jenn Yarnold | | agentic AI, AI in DevOps, automation in DevOps, burnout in engineering, complexity in DevOps, compliance challenges, developer experience, devops, devops culture, DevOps gratitude, DevOps inclusivity, devsecops, generative AI, hybrid work, incident response, innovation pace, internal developer platforms, machine learning workflows, open source community, platform engineering, regulatory landscape, Remote DevOps, SBoM, secure supply chain, security by design, security theater, self-service pipelines, shift left security, talent crunch, tech layoffs, Tool SprawlAlan reflects on a chaotic yet inspiring year in DevOps, highlighting the rise of AI in engineering, the maturation of DevSecOps, the evolution of hybrid work culture, the surge of platform engineering ...
Survey Sees AI Coding Creating Need for More Software Engineers
Mike Vizard | | agentic AI, AI compliance challenges, AI in DevOps, AI in software development, AI tools adoption, AI-generated code vulnerabilities, developer upskilling, DevOps productivity, DevSecOps challenges, GitLab DevSecOps survey, platform engineering, SDLC automation, software engineer demand, technical debt from AI, vibecoding risksA GitLab survey of 3,266 DevSecOps professionals shows AI is boosting code creation but increasing the need for skilled engineers, compliance challenges and human oversight ...
