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With AI, GitOps, and platform engineering everywhere, some people ask: “Do we still need Infrastructure as Code?” The answer in 2025 is simple:Infrastructure as Code (IaC) is no longer optional – it’s foundational. 1. The Problem IaC Still Solves Modern infrastructure is: Ephemeral (clusters, nodes, pods come and go) Multi-cloud (AWS, Azure, GCP, on-prem) Security-sensitive

Backup & Disaster Recovery in Kubernetes: Beyond Snapshots and Scripts For many teams, Kubernetes backup still means: 👉 Take snapshots 👉 Store them somewhere 👉 Hope restores work In 2025, that approach is dangerously incomplete. Modern Kubernetes DR must handle state, configuration, identity, traffic, and time – not just disks. 1️⃣ Why Snapshots Alone Are

Hybrid Cloud is no longer an architecture choice – it’s the operational reality for most enterprises.But with clusters across AWS, Azure, GCP, and on-prem, failure scenarios become harder to predict, reproduce, and mitigate. That’s why SRE Game Days have evolved. Game Day 103 is all about testing reliability across cloud boundaries, not just inside a

The container runtime landscape is shifting fast.Docker and CRI-O dominated the last decade – but 2025 marks a turning point. SREs, Platform Engineers, and Kubernetes Operators are asking: What comes after Docker? After CRI-O? What will power the next-generation Kubernetes clusters? Here’s what’s driving the evolution – and what’s coming. 1️⃣ Why Runtimes Are Changing

The Role of AI in Kubernetes Autoscaling – Are You Ready? Kubernetes autoscaling has come a long way – from simple CPU-based thresholds to advanced multi-metric scaling. But in 2025, one thing is clear: Static autoscaling rules can’t keep up with today’s unpredictable workloads. AI-driven autoscaling is becoming the new SRE superpower. Here’s what’s changing

In 2025, cluster security isn’t enforced by humans – it’s enforced by code. As Kubernetes estates grow across clouds and teams, manual policies collapse under scale. Policy as Code (PaC) turns guardrails into automated, testable, version-controlled rules. 1. Why Policy as Code? Kubernetes is dynamic – thousands of manifests updated daily. Engineers push changes faster

Microservices were meant to accelerate delivery – but unchecked sprawl slows everything down.In 2025, SREs are rediscovering a truth: more services don’t always mean better scalability. 1. The Problem: Microservice Overload Each new service adds network hops, API latency, and deployment overhead. Inter-service dependencies create tangled failure chains – one pod down can ripple across

Speed vs Safety – the eternal DevOps paradox.Developers want faster releases. SREs want reliability.In 2025, the winning teams are the ones who automate the balance – not choose sides. 1. The Challenge High velocity often introduces instability: untested code, noisy alerts, cascading rollbacks. Overly rigid SRE policies kill innovation. The modern SRE’s job: enable safe

You can’t improve what you never test.An SRE Game Day is a controlled failure simulation – a safe environment where teams practice how systems and people respond to incidents before they happen in production. 1. Purpose of an SRE Game Day Validate incident response readiness. Measure recovery time (MTTR) and alert efficiency. Train new engineers

Multi-cluster Kubernetes is the new normal – hybrid, multi-region, and multi-cloud. But keeping thousands of manifests consistent across environments can be chaos.GitOps brings order – using Git as the single source of truth for all clusters. 1. Git as the Control Plane All Kubernetes manifests live in a versioned Git repo. ArgoCD or FluxCD continuously

Downtime is costly – cross-cloud resilience is survival. Disaster Recovery (DR) in multi-cloud Kubernetes ensures workloads stay online even if an entire region or provider fails. Here’s how SREs design it right. 1. Architecture Strategy Active-Active: both clusters handle traffic; use global load balancer (e.g., Cloudflare, Route 53). Active-Passive: secondary cluster on standby; synced via