Fighting AI Slop: The Missing Ingredient for Clean Code #coding #AI #devops #cleancode #aiagents
Fighting AI Slop: The Missing Ingredient for Clean Code.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
eBPF: Preventing Garbage HTTP Payloads When Reading Kernel Scatter-Gather Buffers
Recently someone on our team opened a traffic snapshot and found an HTTP request that was captured with our eBPF capture agent, nettap. Our protocol dissector parsed most of the response correctly, but that correctness ended once the response headers were processed. What they ended up with was a recording of an HTTP request/response where the response body was just an incorrect collection of garbage binary data when it should have been JSON text.
The Best Model Is a Routing Decision
I spent the day at NVIDIA thinking I’d be learning about all the newest models and RAM throughput achievements. Instead, a version of the future started to crystallize where AI really is good enough, pervasive and cheap(er). Let me share some of my observations and conclusions.
Instant Kubernetes Observability with Proxymock #speedscale #kubernetes #ebpf #devops #cloudnative
Learn how to get instant observability into your Kubernetes cluster by installing the Speedscale operator and proxymock tool. In this step-by-step tutorial, we walk you through setting up the operator to capture live network traffic (including encrypted traffic, API calls, and database calls) without complex instrumentation or manual configuration.
Catch Issues BEFORE Production! #speedscale #vibecoding #devops #sre #softwareengineer
Instead of waiting for an alert to trigger a long, stressful triage and replication process, catch the issue before it reaches production by replaying real traffic against your code first.
AI is Exposing Observability's Dirty Secret
The 3 pillars of observability are breaking. For years, dev teams relied on Logs, Metrics, and Traces to know when something went wrong. But now? AI agents are writing, deploying, and changing code in real-time. When an AI hallucination pushes a bug to production, standard monitoring sees nothing wrong.To survive the AI era, we need a 4th Pillar of Observability. Watch to find out what it is and why the old way of monitoring just became obsolete.