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Modern Software Development For Today's Systems & Applications
The latest News and Information on Software Testing and related technologies.
Top 9 Visual Testing Tools
Every team has experienced it at least once. A new feature ships on time, all functional tests pass, and yet users start reporting broken layouts, missing buttons, and unreadable text. The problem isn’t your business logic. The problem is your UI and functional tests can’t see it. This is where Visual Testing Tools step in as the last line of defense before your users do.
Running Kafka in Kubernetes: What We Learned
Apache Kafka is mission-critical for many organizations—but where you deploy it matters just as much as how you use it. In this video, two OpenLogic experts discuss why they increasingly encourage customers to move their Kafka clusters to Kubernetes and utilize the Strimzi operator, and what that shift unlocks from an operational, scalability, and resilience standpoint.
Common Kafka Anti Patterns and How to Avoid Them
Kafka is powerful—but common Kafka mistakes can quietly undermine performance, reliability, and scalability. In this video, two OpenLogic experts break down the most frequent Kafka anti-patterns they see in real customer environments—and how to avoid them. Based on hands-on experience fixing production Kafka clusters, this discussion covers: If you’re running Apache Kafka in production—or planning to—this video will help you spot Kafka mistakes early and apply proven best practices to build a more stable, scalable event streaming platform.
Top 45 Test Management Tools
Have you ever managed test cases in spreadsheets and struggled to track what was tested and what was missed during a release? This is exactly why modern QA teams rely on powerful test management tools to bring structure, visibility, and control into their testing process. As applications grow with microservices and CI/CD pipelines, testing becomes harder to manage. This is where test management software brings structure, visibility, and control.
Stop wasting time on Postgres migrations. #speedscale #postgresql #postgres #database #programming
If you're spinning up a whole container just for one test, you’re doing it wrong. Old way: Full DB container + pg_restore New way: speedscale + proxymock It records actual DB traffic and mocks it "on the wire." Test smarter, not harder.
The next step in your data quality program is data integrity
Many organizations run data quality programs that, on the surface, serve teams well enough. They validate data, flag missing fields, remove duplicates, and reconcile reports. Most of the time, that feels secure enough. When teams collaborate and compare datasets, discrepancies often appear but are dismissed as negligible. Fixing them is built into workflows and job descriptions, even if it takes hours or days. This approach is starting to show its age.
Best AI Test Case Generation Tools in 2026
AI test case generation tools are transforming how QA teams create, maintain, and execute tests by automating repetitive work and improving coverage. Teams that adopt AI for QA now will reduce manual test creation time while expanding their test coverage. Software testing has always been a balancing act between thoroughness and speed. You want comprehensive coverage, but you also want to ship features before your competitors do.
What changed for the customer, and what was the final outcome?
They can now run large test suites quickly, execute at scale, and get consolidated reporting — all major improvements from where they started. The journey continues, but today they’re also using AI-driven test generation and tracking ROI, with Katalon adding features based on their needs. — Coty Rosenblath, Chief Technology Officer at Katalon Follow Katalon for more insights in our series!
The Future of Digital Experience is Autonomous, so is Testing
The digital economy has upgraded from simple transactional interactions with users. Now consumers demand the Autonomous Digital Experience (ADE) – the customer journey is driven by predictive, self-learning systems, which is essential for competitive success. This is driven by Predictive Personalisation, which uses machine learning to predict personalised affinity and intent of user actions, delivering personalised content, products and messages in real-time.