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Deploy a serverless Python API to Scaleway Functions using CircleCI

Serverless platforms have revolutionized the way developers build and deploy APIs, eliminating the need to manage servers or underlying infrastructure. With serverless, you can focus entirely on your application logic and let the platform handle scaling, availability, and maintenance. Scaleway Serverless Functions is a flexible serverless platform that makes it easy to deploy lightweight APIs and background jobs in the cloud.

Why gRPC is a Debugging Nightmare #speedscale #observability #grpc #testing #devops

gRPC is fast and efficient - until it breaks at 2:00 AM. Traditional observability tools are built for HTTP/1.1 and JSON. When you switch to gRPC, you’re dealing with binary Protobuf payloads and HTTP/2 multiplexing that most logs and traces simply weren't designed to handle. Speedscale flips the switch by decoding Protobuf directly into human-readable JSON in real-time. Get the speed of gRPC with the visibility of REST.

3AM Pager: When You Know the Data but Can't Search It

Ever tried searching your entire production stack for one user? Getting paged at 3 AM is bad enough. It’s worse when you only have a single username and zero visibility into what’s actually happening across your microservices. With Speedscale, you can perform full-text searches across every API call and database interaction in real-time. Stop guessing and start debugging with total context.

AWS API Gateway Pricing Simplified: A 2026 Guide For Cost Savings

Why does AWS API Gateway spend rise even when backend infrastructure stays the same? For most teams, the answer isn’t compute. API Gateway pricing is driven by how APIs are used — request volume, retry behavior, traffic patterns, and growth over time — not by provisioned resources. Because AWS reports these costs as aggregated usage totals, it’s often unclear which APIs, environments, or behaviors are responsible for increases.

Context Engineering: How Dev Teams 10x Productivity with AI

Context engineering isn't just an AI buzzword. It's how high-performing dev teams are transforming productivity at scale. Chris Geoghegan, VP of Product at Zapier, breaks down why individual AI gains don't compound and what your team needs to do instead.In this GitKon session, learn how to.

Context is King: Why Network AI Needs Domain Knowledge to Work

Generic AI fails in network operations because it lacks the “institutional knowledge” of your specific environment and business priorities. Learn how Kentik’s Custom Network Context encodes your unique operational reality into AI Advisor, turning a generic chatbot into a context-aware teammate.

When is it ok or not ok to trust AI SRE with your production reliability?

There’s a moment every engineer knows. An AI suggests a fix, it looks reasonable,maybe even obvious, but production is on the line and you hesitate before clicking execute. There’s a big difference between an AI that can recommend an action and one you’re willing to let take that action. All it takes is one bad call, one kubectl command that makes things worse, and suddenly every automated suggestion is a potential liability instead of a help.