Speedscale

Atlanta, GA, USA
2020
  |  By Rexford A. Nyarko
Figuring out what APIs are doing in Kubernetes can be difficult. Read the pros and cons of WireShark, Kubeshark and Speedscale and when to use which.
  |  By John Wright Stanly
Explore best practices and essential tools for visibility with Kubernetes infrastructure and traffic to optimize your system's performance and security.
  |  By Ken Ahrens
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications.
  |  By angela sun
Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.
  |  By Matthew LeRay
Outsourced engineering teams are gaining in popularity and many investors have started to treat them as a requirement.
  |  By Damaso Sanoja
In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.
  |  By Daniel Olaogun
Enhance kubernetes resilience with AWS Fault Injection Simulator, LitmusChaos, Gremlin, Chaos Monkey, ChaosBlade, Azure Chaos Studio, and Speedscale.
  |  By James Walker
Unlock enhanced platform engineering with traffic replay for real-world performance testing, ensuring faster feature delivery with consistent quality.
  |  By Kasper Siig
Regression testing is not a new concept. However, historically, it has been limited to functional testing due to the setup, configuration, and maintenance required to simulate a production environment accurately. Many teams have found the cost outweighs the benefits, but with the advent of production traffic replication (PTR), it’s become a viable option to regression test performance, especially for those running applications in Kubernetes.
  |  By Kasper Siig
Learn about the benefits, drawbacks, and key use cases for our top 5 API mocking tools: Postman, MockServer, GoMock, MockAPI, and Speedscale.
  |  By Speedscale
In this brief demo, we show how engineers can build and test quickly by autogenerating traffic simulations, load and mocks from actual traffic using Speedscale.
  |  By Speedscale
How does Speedscale compare to Observability tools? CTO Matt LeRay quickly explains the differences in this one-minute video.
  |  By Speedscale
Speedscale is a Y-Combinator backed startup that helps Kubernetes engineering teams build resilient and performant containerized apps. Our production traffic replication platform is a more reliable, cost-effective, and scalable way to test and deliver cloud-native software applications. Unlike other tools, we use agents/sidecars to record and playback sanitized traffic that you see in prod. With Speedscale, engineers can generate load, simulate production conditions, and mock third party backends modeled after real traffic patterns.
  |  By Speedscale
Jeff Kwan, Principal Software Engineer, discusses how and when his team at Cimpress (parent company of Vistaprint) starts preparing for holiday load testing.
  |  By Speedscale
A common approach in software is to start small, then move to bigger initiatives, but it's often easier said than done. The theory breaks down in production, which is why devs need new approaches.
  |  By Speedscale
In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, explains what to consider when building the environment, including backend dependencies and data. He covers how service mocking can help companies test at a higher velocity in today's complex development environments.
  |  By Speedscale
In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, explains the final step: generating load and repeating the process with the goal of testing continuously and at a higher velocity.
  |  By Speedscale
In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, talks about why traffic-based testing (unlike manually writing script tests) can help companies move faster and test at the speed of development. He covers the top use cases and benefits of leveraging traffic as the new way to test.
  |  By Speedscale
In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, shares how modern retailers are thinking about and approaching software testing in increasingly dynamic and complex environments.
  |  By Speedscale
In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, explains what comes next after selecting the business-critical APIs to test first: capturing traffic. Capturing traffic for the service can be done through tools like Speedscale, GoReplay, VCR, K6, and JMeter.
  |  By Speedscale
Forecast latency, throughput and headroom before every deploy.

Continuous Resiliency from Speedscale gives you the power of a virtual SRE-bot working inside your automated software release pipeline. Forecast the real-world conditions of every build, and know you’ll hit your SLO’s before you go to production.

Feed Speedscale traffic (or let us listen) and we’ll turn it into traffic snapshots 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!

Automated Traffic Replay for Every Stakeholder:

  • DevOps / SRE Pros: Understand if your app will break or burn up your error budget before you release.
  • Engineering Leads: Let Speedscale use traffic to autogenerate tests and mocks. Introduce Chaos testing and fuzzing.
  • Application Executives: Understand regression/performance, increase uptime and velocity with automation.

Before you go to production, run the projection.