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Optimizing DevOps with Kubernetes Ephemeral Environments: Efficient Testing and Deployment
Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting...
Simulating Database Performance Under Load with Speedscale
Big data storage tools like BigQuery, Hadoop, and Cassandra are used to manage large volumes of structured and unstructured data generated by modern...
Seasonal Holiday Readiness Testing with Production Traffic
Many businesses depend on seasonal products, offerings, and campaigns. Seasonal traffic usually refers to high traffic levels because of festival seasons.
How to Conduct an HTTP/2 Test on APIs
Slowly but surely, HTTP/2 has become the preferred protocol for transferring data files between clients and servers. In contrast, HTTP/1...
Top Traffic Replay Alternatives to Enhance Your Testing and Analysis
Traffic replay is a valuable technique for capturing and analyzing network interactions, providing essential insights into user behavior and website...
What are Ephemeral Environments?
Development teams and product managers have many variables that affect their daily processes.
What is a Demo Environment?
One of the most important aspects of a product is the ability to showcase its functionality.
Orchestrated Service Virtualization: The Definitive Guide
Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature of those parts.
Ultimate Guide to Creating a JSON Mock API
Using a JSON mock allows you to avoid using fake data or simulating interactions, resulting in better final output and stronger data flows.
How to Test LLM Backend Performance with Service Mocking
Test LLM backend latency, throughput, and rate limits without burning API credits. Mock OpenAI and Claude APIs for realistic load testing.
Automating API Mocks in Your CI Pipeline with proxymock
Capture API responses once with proxymock and replay them in CI. Eliminate flaky tests from rate limits, downtime, and slow external dependencies.
Part 1: Building a Production-Grade Traffic Capture and Replay System
Learn how to build a production-grade traffic capture system using proxies, eBPF, and tcpdump.
Better integration tests in Cursor using proxymock
Cursor can scaffold new API calls, proxymock traffic snapshots give me the integration tests, replays.
Test Code Changes with Claude Code Using Real Traffic
Claude Code can write features and fix bugs, proxymock traffic snapshots give me the integration tests, replays.
How to Test Your React Frontend When the Backend Is Offline
Learn how to test your React frontend without running backend services. Record real API traffic and mock responses for faster development, reliable.
Kubernetes Load Testing Made Easy with Speedscale
See how to get visibility into your Kubernetes workloads and run realistic load tests without writing YAML files or kubectl commands.
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.
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.
Silent Failures: Why AI Code Breaks in Production
AI-generated code compiles clean but breaks in production. Learn why static analysis misses behavioral failures and how runtime validation catches them.
Runtime Validation vs Static Analysis: Why You Need Both
Static analysis catches code smells. Runtime validation catches behavioral failures. Enterprise teams adopting AI coding tools need both to ship safely.