Atlanta, GA, USA
Sep 27, 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.
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 James Konik
When building cloud-based applications, managing the infrastructure becomes a bigger challenge as you scale. Kubernetes brings order to the chaos, letting you control and automate the containers used to deploy your application. Debugging in the cloud presents further challenges, and the complexities of distributed applications make it hard for many debugging setups to keep pace. Tools designed to run locally aren't effective. However, there are Kubernetes debugging tools that can handle the shift in paradigm. In this article, you'll read about several options that make debugging Kubernetes applications much easier.
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.
Aug 30, 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.
Aug 25, 2022   |  By Shaun Duncan
As developers, one of the most important things we can consider when designing and building applications is the ability to know if our application is running in an ideal operating condition, or said another way: the ability to know whether or not your application is healthy. This is particularly important when deploying your application to Kubernetes. Kubernetes has the concept of container probes that, when used, can help ensure the health and availability of your application.
Aug 22, 2022   |  By Kasper Siig
Today it’s not unusual to see organizations having implemented mocking in their daily workflow, as mock APIs allow developers to speed up their development and not rely on external services. For those reasons and others, many engineers are looking to learn more about the mocked APIs and how they can best be implemented into their organization.
Aug 18, 2022   |  By Paschal Obba
In an ideal world, you want to have precisely the capacity to manage the requests of your users, from peak periods to off-peak hours. If you need three servers to attend to all the requests at peak periods and just one server at off-peak hours, running three servers all the time is going to drive up expenses, and running just one server all the time is going to mean that during peak periods, your systems will be overwhelmed and some clients will be denied service.
Aug 17, 2022   |  By Ken Ahrens
With the introduction of new application platforms like Kubernetes, oftentimes the DevOps tooling around it needs to evolve. Cloud Native technology is powerful but complex. This 5 minute demo video shows how Speedscale provides production simulation capabilities so you can check for resiliency, quality and scalability in your Kubernetes clusters. You can record data and traffic in production and replay sanitized traffic on the fly against a new cluster.
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.
May 14, 2021   |  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.