Kubernetes Events Expire in an Hour. Your Incidents Don't.
Kubernetes events expire after one hour by default, and many of the changes that cause incidents never become events at all. How to keep history that survives.
1,108 stories
Kubernetes events expire after one hour by default, and many of the changes that cause incidents never become events at all. How to keep history that survives.
Explore MCP’s move toward stateless requests, guided interactions, and durable work, plus Noodle Seed’s approach to supporting different client versions.
Construct is an AI employee with a real Linux computer per user. Don't get excited - we are not paying for all of them. How we run that on Cloudflare Durable Objects, Sandboxes, and R2.
Nine cents and $290.12 are both prices for one million output tokens. The gap is driven by accelerator, provider, concurrency, utilization, and reasoning token volume.
How DigitalOcean served Kimi K3 on day 0: GPU selection (B300/MI350X), vLLM tuning, and the OpenAI-compatibility fixes for tool calling, streaming, and reasoning.
No released vLLM build served Kimi K3 when we started. We resolved several distinct failures on 8x B300 and measured the result, its operating crossover, and its honest limits.
Why Ultima VII through the Exult open-source game engine ended up being the perfect testing platform for SurrealDB Agent Memory
Snyk’s Fan Zone tour brought AI security workshops, networking, and friendly competition to 8 cities and 3 virtual sessions. Attendees built skills, shared ideas, and leveled up together.
Two sentences get said in every meeting where a team wires an AI agent into a cluster: it's read-only, and just use the service account. Both are wrong later.
Every week an engineer I respect tells me they're worried a coding agent is coming for their job. Engineers spend about 30% of their time writing code, and the more senior you get, the less you write. The agents took the typing.
A cloud software factory is an automation loop around the software development lifecycle: triage, spec, implement, review, verify, ship, monitor. This guide walks through building one from scratch on GitHub Actions runners, one skill at a time.
AI tools produce 41% more bugs and 98% more pull requests. MTTR can't keep up. Here's how MTTF shifts your team from incident response to prevention.
Startups that have had explosive AI-driven revenue growth might be in trouble. This is a consequence of the exact same open-weight model and AI sovereignty dynamics that are driving hype and discussion across twitter right now.
Why context delivery is a trust decision: compare injected application state with MCP tools, and separate trusted instructions from untrusted data.
When a Weaviate query is slow, the first question is where the time went. Query profiling returns a per-stage, per-shard timing breakdown, making query performance issues visible.
Tokens per second measures how fast a model emits, not how fast it finishes. Our 13-model probe shows the gap that flips both the speed + cost leaderboards.
The same model diagnosed 50 live Kubernetes faults 3x faster on average through Radar's MCP server than through raw kubectl, with slightly higher accuracy. What we measured, why it happens, and where Radar still loses.
I opened 80 pull requests in a two-week sprint by assigning tasks to an agent and walking away from my machine. The tool is called Ivan, it's free and open source, and it runs natively in GitHub Actions.
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