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Getting started with Claude Code and CircleCI
AI-powered coding tools are changing how developers work. Tools like Claude Code can write functions, refactor code, and build features through natural conversation, often faster than you could type them yourself. But speed creates its own risks. AI-generated code can contain subtle bugs, reference packages that don’t exist, or misuse APIs in ways that only surface at runtime. That’s where continuous integration comes in. CI is a safety net that lets you move fast confidently.
Getting started with Gemini and CircleCI
AI coding assistants like Gemini are changing how developers write code. They can generate entire functions, debug tricky issues, and help you move faster than ever before. But with that speed comes a new challenge: how do you make sure AI-generated code actually works? AI assistants are powerful, but they’re not perfect. They can introduce subtle bugs, miss edge cases, or generate code that breaks existing functionality. That’s where CI (continuous integration) comes in.
The path to self-healing: Re-architecting for massive scale on kubernetes
In the world of network assurance, even a few seconds of delay can result in significant business losses. In this session from Civo Navigate India, Dr. Shivananda R Poojara (Head of Cloud Business Unit, Airowire Networks) explains how his team dismantled a massive monolithic service stack and rebuilt it for a high-performance, cloud-native era in just 75 days.
Best Incident Management Software for Engineering Teams (2026)
Compare 9 incident management tools: PagerDuty, Opsgenie, Incident.io, Rootly, FireHydrant, BetterStack, Grafana OnCall, Squadcast, and Last9. Features, pricing, and which fits your team. Product Marketing Manager.
Database Partitioning: Types, Strategies, and When to Use Each
How database partitioning works in PostgreSQL and MySQL. Range, list, and hash partitioning with SQL examples and guidance on when to partition vs shard. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.
AI SRE in Practice: Accelerating Engineer Onboarding with Contextual Expertise
Onboarding new engineers to complex Kubernetes environments is expensive. Junior engineers need to learn cluster architecture, understand organizational conventions, navigate internal documentation, and build relationships with senior team members who can answer questions. The process takes weeks or months, and during that time, senior engineers spend significant time mentoring instead of working on complex problems.
AWS vs Google Cloud vs Azure for Cloud-Native and Kubernetes
Cloud adoption is no longer about “moving to the cloud.” It’s about building cloud-native platforms that are scalable, observable, automated, and Kubernetes-driven. This guide provides a deep comparison of with a focus on Kubernetes, platform engineering, DevOps, and modern workloads, aligned with standards pioneered by the Cloud Native Computing Foundation.
Database Sharding: How It Works and When You Actually Need It
How database sharding works, common strategies (hash, range, directory), shard key selection, and the operational cost of running a sharded database in production. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.
Expert Insight: Why Local Internet Traffic Matters More Than You Think
Imagine sending a letter to your neighbour across the street, only for it to be routed through London or even Amsterdam before landing in their letterbox. This is effectively what happens to much of Scotland's internet traffic. Despite physical proximity between users, businesses and services, digital data is frequently sent on needlessly long journeys, often leaving the country before reaching its destination. This approach is inefficient, costly and poses questions about privacy, resilience and digital sovereignty.