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The latest News and Information on Service Reliability Engineering and related technologies.

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.

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.

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.

Code Is Cheap, Reliability Isn't: Owning Production in the AI era w/ Swizec Teller

In this episode, Swizec Teller, author of the bestselling Scaling Fast, makes a bold claim: code is cheap, reliability is not. As AI coding tools accelerate feature development, the real competitive advantage shifts to operating systems reliably in production. We explore the hidden complexity of SRE work, the addictive nature of agentic coding, and why ownership — not automation — remains at the core of modern software engineering.

SRE Report: AI optimism and the economics of effort

For eight years, the survey behind the SRE Report has used a consistent methodology. That consistency allows us to track how reliability work evolves over time, rather than relying on snapshots. One of the most stable questions in the survey asks respondents to estimate how much of their work, on average, is spent on toil. Between 2020 and 2024, responses showed a gradual decline in reported toil.

Reference architecture: The blueprint for safe and scalable autonomy in SRE and DevOps

Everyone wants autonomous incident response. Most teams are building it wrong. ‍ The ultimate goal of autonomy in SRE and DevOps is the capacity of a system to not only detect incidents but to resolve them independently through intelligent self-regulation. However, true autonomy isn't born from automating random, isolated tasks. It requires a stable foundation: a Reference Architecture.