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By Ken Ahrens
Many businesses depend on seasonal products, offerings, and campaigns. Seasonal traffic usually refers to high traffic levels because of festival seasons like Thanksgiving and Christmas and sales events like Black Friday, Cyber Monday, and Boxing Day. These impact a wide range of industries, such as travel, hospitality, social activities, and, most prominently, e-commerce.
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By Shaun Duncan
The rise of remote development environments, like GitHub Codespaces, has certainly captured the spotlight in recent years. These cloud-based solutions offer flexibility and ease of access, making them an attractive choice for many developers. However, it’s important not to overlook the tried-and-true advantages of local development environments. Hosting your code locally on your machine can provide a more controlled, efficient, and secure environment for your development needs.
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By Matthew LeRay
A development environment is a crucial setup of tools, configurations, and processes that developers use to build, test, and deploy software. Whether it’s a local setup on a developer’s local machine or a remote cloud-based solution, a development environment’s primary goal is to provide a seamless space where code can be written, tested, and executed efficiently. It’s never been more important to have a streamlined setup of cloud and development environments.
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By Nate Lee
Although GoMock is one of the most popular ways to create mocks in Golang, it’s important to understand the broader landscape of mocking methods in the language to fully leverage its potential value in testing. Mocking is a powerful technique that allows developers to isolate their code, improve test reliability, and ultimately enhance overall code quality.
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By Ken Ahrens
Big data storage tools like BigQuery, Hadoop, and Cassandra are used to manage large volumes of structured and unstructured data generated by modern applications. Unlike traditional databases, these tools provide scalable and distributed infrastructure that efficiently stores, processes, and analyzes petabytes of data across clusters.
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By Nate Lee
In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.
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By Rexford Nyarko
Postman has long been a go-to tool for API developers and QA engineers in providing a streamlined environment for testing and documenting APIs. Its user-friendly interface and robust features made it an industry standard. However, Postman isn’t suitable for everyone. Its complexity has increased over the years, leading to a UI that can be overwhelming, and a steep learning curve – especially for beginners.
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By Nate Lee
The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.
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By Nate Lee
Go is an open-source programming language and developer environment from Google that allows for incredibly efficient and powerful applications. Go’s expressive syntax enables developers to write clean, efficient, concise code, allowing faster development cycles and easier maintenance. Whether you’re developing complex distributed systems or lightweight microservices, Go and its powerful libraries provide the tools necessary to create robust and scalable solutions.
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By Shaun Duncan
Application performance can make the difference between retaining or losing customers, with delays beyond a few seconds leading to dropped conversions. Performance testing and monitoring are vital for improving the overall user experience, achieving a competitive advantage, enhancing resource efficiency, enabling scalability, and reducing costs.
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By Speedscale
Speedscale's Traffic Viewer is the perfect complement to your production monitoring or observability system because it provides detailed information (like request and response payloads, headers, cookies, and more) that actually helps developers debug any issues and requires zero developer intervention--all of the data is provided from traffic.
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By Speedscale
In a conversation with Sephora's Senior Performance Engineer, Diana Manulik discusses why their current load testing tool, JMeter, wasn't meeting their needs for reporting, and why they chose Speedscale.
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By Speedscale
In this conversation with Sephora's Senior Performance Engineer, Diana Manulik discusses how she uses Speedscale and WireMock to generate mocks much faster.
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By Speedscale
When working with #AI in cloud environments, traditional data provisioning and software testing methods don't work because of the behavior of AI and LLM APIs. In this Cloud Native Computing Foundation (CNCF) webinar recording, we discuss the top 4 challenges of scaling cloud-native AI workloads, and the solutions developers are turning to instead.
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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.
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By Speedscale
How does Speedscale compare to Observability tools? CTO Matt LeRay quickly explains the differences in this one-minute video.
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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.
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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.
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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.
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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.
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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.