Systems | Development | Analytics | API | Testing

A Complete Guide to Testing as a Service

Testing-as-a-Service (TaaS) is rapidly gaining popularity growing at a compound annual growth rate (CAGR) of 14% from 2024 to 2030. Organizations adopting TaaS report up to 30% cost savings compared to traditional in-house testing. Testlio October 5th, 2024 Discover Outsourced Testing Best Practices Engineers and product managers face the challenge of balancing speed, quality, and cost in software testing as technology continues to evolve rapidly.

Stop Using TCP Health Checks for Kubernetes Applications

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.

Kubernetes Load Testing: How JMeter and Speedscale Compare

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

How to Calculate TPS in Performance Testing: A Kubernetes Guide

Transactions-per-Second (TPS) is a valuable metric for evaluating system performance and is particularly relevant for engineers overseeing Kubernetes environments.TPS, alongside average response time, provides critical insights into system performance during load testing. This post covers two approaches to calculating TPS; a manual approach applicable in all environments, and an automatic Kubernetes-specific solution using production traffic replication.

Shift Left: Bad Data in Event Streams, Part 1

At a high level, bad data is data that doesn’t conform to what is expected. For example, an email address without the “@”, or a credit card expiry where the MM/YY format is swapped to YY/MM. “Bad” can also include malformed and corrupted data, such that it’s completely indecipherable and effectively garbage.

AI Data Mapping: How it Streamlines Data Integration

AI has entered many aspects of data integration, including data mapping. AI data mapping involves smart identification and mapping of data from one place to another. Sometimes, creating data pipelines manually can be important. The process might require complex transformations between the source and target schemas while setting up custom mappings.

The Fall and Rise of Embedded Plugins: IFrames - the Default Choice for Embedded Integration Design

With the rise in popularity of embedded integrations, and continued trial and error in this space, it’s best to review the core concepts of how embed frameworks operate. There are many ways platforms open their UI to third-parties, but one is considered original - the oldest, and likely still the most common method on the web - the old iframe model. In the olden days, the common way to enable third-party content in one’s interface was by iframing.

The True Cost of Accessibility Education in Tech

Building accessible products isn’t just about compliance—it’s about education. @AmyJuneHineline explains how the biggest challenge for companies is teaching teams to prioritize accessibility from the start. It’s not just about following guidelines; it’s about making accessibility part of your development culture through proper training and clear standards. Invest in education now to ensure your teams are prepared for the future of accessibility.