Using GRPC with Python Best Practices Guide
Microservices are now the architecture of choice for many developers when crafting cloud-native applications.
Speedscale Blog
Latest insights on API testing, performance optimization, and software development best practices from the Speedscale team.
What AI Has Never Seen: The Context Gap in Code Generation
AI coding tools generate code from docs and examples—but they've never seen your production traffic. Here's what breaks AI-generated code.
10 Benefits of automated testing
After spending hours or even days manually testing your software, you may be wondering whether or not there's a better way. The good news? There is.
Top 7 Kubernetes Chaos Engineering Tools
Developing highly resilient Kubernetes deployments is crucial for ensuring that your hosted applications in Kubernetes can effectively manage and recover.
Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes
Use traffic replay via MCP to create a tight feedback loop for AI coding agents, preventing hallucinated success by validating against immutable.
The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs.
ROI of Digital Twin Testing: Cut Testing Costs by 50%
Non-production environments cost 20-40% of cloud bills. Digital twin testing delivers 9x ROI through infrastructure, incident, and efficiency savings.
Moving Our Observability Data Collector from Sidecars to eBPF
Speedscale transitions from Kubernetes sidecar-based observability collection to eBPF for lower latency, reduced resource consumption.
The CES Hangover: 3 Expensive Hardware Fails That Were Actually Software Problems
Stop letting third-party API spikes crash your app. Learn why mocking latency for OpenAI, Anthropic.