• The Speedscale Solution
  • The Speedscale Solution
  • The Speedscale Solution
  • The Speedscale Solution
  • The Speedscale Solution
  • The Speedscale Solution
  • The Speedscale Solution
  • The Speedscale Solution

The Speedscale Solution

Feed Speedscale traffic (or let us listen) and we’ll turn it into executable tests and corresponding mock containers. Insert your own service container in between for a robust sanity check every time you commit.

Understand latency, throughput, headroom, and errors -- before you release! The best part? You didn’t have to write any scripts or talk to anyone!

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The Speedscale Solution

Pre-flight made easy.

Browse your API calls to pick out which traffic should be tests and which should be mocks. Done.

Automated Traffic Replay for Every Stakeholder

1
DevOps / SRE Pros

DevOps / SRE Pros

Understand if your app will break or burn up your error budget before you release.

2
Engineering Leads

Engineering Leads

Let Speedscale use traffic to autogenerate tests and mocks. Introduce Chaos testing and fuzzing.

3
Application Executives

Application Executives

Understand regression/performance, increase uptime and velocity with automation.

Speed, Meet Quality.

No manual scripting

Turn traffic into tests and mocks

Familiar ergonomics

Command line and CI integration

Immediate feedback

Kick off traffic replay every build

No mess, no fuss

Auto-environment creation and tear down for traffic replay

Remove silos

Traffic contains your cross-team dependencies, data, and tests.

Full shift-left coverage

Regression, performance, fuzzing, chaos - automatically.

“Given the supersonic release train of agile DevOps teams delivering software within today’s microservices and cloud-native architectures, automated testing frameworks have a hard time keeping up with constant changes, and canary releases may expose unexpected SLO failures in production. In this chaotic environment, engineers should seek out as much predictive insight into deployment success as they can get, as early as possible.”

Jason English, Principal Analyst, Intellyx
Longer-Log

Successful cloud-native application delivery can only happen in predictable software-defined environments.

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