Quality K8S Can Be Hard...
Hard To Replicate
Kubernetes applications can quickly grow complex, tightly-coupled and ephemeral. Reproducing real-world conditions becomes a logistics nightmare. Sure -- you can spin up a cluster but do you have the right data and code?
Hard To Wait
Cloud-native development drives ever-faster delivery speed and ever-increasing risk of production failures and firefights. Reduce the crises caused by “Release and Monitor” approaches.
Hard To Afford
As release velocity increases, the conflicts and costs of quality issues, compliance and non-production cloud resources can soar out of control.
Auto-generate Traffic Replay For Every Stakeholder
DevOps / SRE Pros
Release time -- will you beat your SLO's? Get automated baselines on response times, throughput, headroom and errors of every new build. Reduce toil by clicking on new traffic replay Scenarios.
Engineering Leads
Gain true shift-left validation and code confidence of complex software architecture with reduced toil. Leverage Speedscale for automated fuzzing and chaos. Decouple your services monolith!
Application Executives
Start a regression and performance testing practice using traffic. Achieve delivery KPIs with less project risk, fewer conflicts between teams, and lower environment costs.
How It Works
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!
Successful cloud-native application delivery can only happen in predictable software-defined environments.