Kubernetes Load Testing Made Easy with Speedscale
Blog post from Speedscale
Speedscale is presented as a Kubernetes observability and performance-testing platform that uses an operator installed through Helm to provide workload visibility without requiring direct YAML editing or kubectl commands. Through its UI, users can inspect services, logs, resource usage, sidecar status, and real-time inbound and outbound traffic, including API payloads, database queries, responses, and decoded JWT information. The platform allows a Speedscale sidecar to be enabled and configured from the interface, including resource settings, outbound TLS decryption, and language-specific options, after which captured traffic can be saved and replayed as regression, performance, chaos, or custom load tests. Load tests run within the selected Kubernetes cluster and service context, while Speedscale displays real-time endpoint throughput and latency and automatically adjusts virtual users based on application performance. Documentation, demo applications in several programming languages, community support, and a free trial are available through Speedscale’s website and associated resources.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 6 | 1,390 | 242 | 97 | -19% |
| Real-time | 4 | 6,429 | 1,407 | 265 | -24% |
| Developer Experience | 1 | 509 | 261 | 106 | -11% |
| Observability | 1 | 3,277 | 563 | 170 | +12% |
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