Speedscale

Atlanta, GA, USA
2020
Nov 28, 2022   |  By Kasper Siig
Organizations are starting to realize that simply writing tests to generate traffic is simply not good enough. Rather, production traffic replication is now necessary, where you record traffic from your production environment and then replay it in your development environment. To match the modern principles of this testing methodology, it makes sense to also utilize modern infrastructure, like Kubernetes.
Nov 21, 2022   |  By Nate Lee
Intellyx, the first and only analyst firm dedicated to digital transformation, today announced that Speedscale has won the 2022 Digital Innovator Award. This is Speedscale’s second year winning the award. As an industry analyst firm that focuses on enterprise digital transformation and the leading edge vendors that are driving it, Intellyx interacts with numerous innovators in the enterprise IT marketplace.
Nov 18, 2022   |  By Kasper Siig
Load testing is one of the most common ways to test the resiliency of your applications. In this blog we show how recording production data with Speedscale and exporting to a K6 load tests gives you the best of both worlds. Whether or not it's important for your organization, there are clear benefits to be had from implementing these types of tests. By doing so, you can: When it comes to load testing, two of the most modern tools are Speedscale and K6. While there are many reasons for choosing one over the other, there are also benefits to using them together. If you want to know what the main differences are, check out the in-depth comparison.
Nov 18, 2022   |  By Josh Thornton
One of the major factors that come into play when deciding on a load testing tool is whether it can perform as you expect it to. There are many ways to measure how well a load testing tool performs, with the amount of requests per second undoubtedly being one of the main ways. Speedscale creates load tests from recorded traffic, so generating load is at the core of the tool.
Oct 28, 2022   |  By Matthew LeRay
Data privacy and security are a top concern for most organizations. It’s easy to see why given changes over the past few years. These types of protections can be great for us as consumers. However, they also make it extremely difficult to create realistic production simulations in pre-production. It’s hard to rapidly develop new applications if you can’t iterate against realistic data.
Oct 10, 2022   |  By Josh Thornton
Speedscale creates load tests from recorded traffic so generating load is pretty core to what we do. As a brief overview, we record traffic from your service in one environment and replay it in another, optionally increasing load several fold. During a replay the Speedscale load generator makes requests against the system under test (SUT), with the responses from external dependencies like APIs or a payment processor optionally mocked out for consistency. Your service is the SUT here. Currently the load generator runs as a single process, usually inside a pod in Kubernetes. So how fast is this thing, and how did we get to where we are today?
Sep 21, 2022   |  By Kasper Siig
These days, there are many different types of test you can run to safeguard the performance of your services. Unit tests, end-to-end testing, and of course load tests. The type of test you choose to run will will be strongly linked to your desired outcome. Historically, it’s been common to test your services by generating test traffic, meant to replicate how real users would use your product.
Sep 14, 2022   |  By Kasper Siig
In this article, you’ll be introduced to two tools: Speedscale and NeoLoad. Both of these tools offer you a way to load test your applications. This post will compare their ease of setup, development experience, fit within a modern infrastructure, and integration into CI/CD. Load testing is not a new concept in any way: the term was common even before Google Trends started recording data in 2004.
Sep 9, 2022   |  By Matthew LeRay
In this Postman load testing tutorial, you'll learn how to run a large scale load test in Kubernetes using your existing Postman collections. Because HTTP services don't have a graphical user interface, it's common to build collections of requests using Postman during the development process. These collections are useful for running quick functionality tests as you develop each endpoint. However, as the service grows you eventually need to test it in a more realistic way with larger volume. This is called a load or stress test. Speedscale is a Production Data Simulation Platform that includes this stress/load testing capability out of the box.
Sep 8, 2022   |  By Ken Ahrens
Have you ever experienced the problem where your code is broken in production, but everything runs correctly in your dev environment? This can be really challenging because you have limited information once something is in production, and you can’t easily make changes and try different code. Speedscale production data simulation lets you securely capture the production application traffic, normalize the data, and replay it directly in your dev environment.
Feb 25, 2022   |  By Speedscale
Ken walks through a Java example of the Speedscale CLI tool showing how to inspect inbound and outbound REST API calls.
Feb 25, 2022   |  By Speedscale
Matt demonstrates the world’s simplest and least reliable Python application using Speedscale’s desktop observability tool.
Feb 25, 2022   |  By Speedscale
There’s been an explosion in GRPC usage recently! Hear why the Speedscale team loves GRPC.
Feb 25, 2022   |  By Speedscale
Learn how to install and get started with Speedscale's CLI desktop tool.
Feb 25, 2022   |  By Speedscale
Learn how to use cURL with and without the CLI on a buggy Python app.
Feb 25, 2022   |  By Speedscale
Speedscale CLI is a desktop tool that offers Service Mapping, enabling developers to auto-detect and map external dependencies that could break in production, without having to send their data anywhere.
Mar 30, 2021   |  By Speedscale
Speedscale co-founders Ken Ahrens and Nate Lee join Jason English to discuss the emerging pattern of Shift-Right production validation vs. Shift-Left practices and testing, and sort it all out in under 15 minutes.
Mar 19, 2021   |  By Speedscale
Speedscale 'SpeedChat' Episode 1: Discussing software product management, 'dogfooding' and scaling quickly for product/market fit without breaking things.
Mar 9, 2021   |  By Speedscale
3-Minute explainer video for Speedscale Continuous Resiliency solutions for Cloud-Native Development.
Feb 4, 2022   |  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.