Systems | Development | Analytics | API | Testing

10 Key Dashboard Design Principles: Analytics Best Practice

For many organizations, achieving effective dashboard design is a recurring problem. Simply put, a lot of effort is likely going into creating dashboards your intended audience don’t even look at. However, it's a problem that can be easily remedied following a few core principles.

Confluent Cloud is now available in the new AWS Marketplace AI Agents and Tools category

Confluent announces the availability of Confluent Cloud in the new AI Agents and Tools category of AWS Marketplace. This enables AWS customers to easily discover, buy, and deploy AI agent solutions, including Confluent's fully managed data streaming platform Confluent Cloud, using their AWS accounts, for accelerating AI agent and agentic workflow development.

Who Tops the List!? QA Pros Pick Their Favorite Star Wars Character | 2025 State of Quality Report

Who’s your favorite Star Wars character? Luke Skywalker, Darth Vader, Princess Leia, or Chewbacca? In this year’s State of Software Quality 2025 survey, we asked 1,500 QA professionals the same question. Spoiler alert: 30% chose Luke Skywalker as their favorite! But that’s just the fun part. The report also dives deep into serious industry insights—how QA professionals are leveraging AI, their biggest testing challenges, the tools they use, and how mature their testing processes are across the industry.

Data Analytics In Healthcare: How to Ensure HIPAA Compliance with Countly

In certain sectors, such as healthcare data is not just valuable—it's SACRED. The same goes for data analytics in the healthcare sector, where the stakes are incredibly high. Healthcare data analytics consists of the systematic analysis of any health-related data that can be used not only to improve patient care, but also to find a way to improve healthcare ops and make informed decisions based on the analysis of said data.

Using Playwright for Mobile Web Testing: Best Practices and Tips

Ever spend hours debugging mobile web tests only to have them fail in production? Join the club. What works flawlessly on your desktop can turn into a nightmare on mobile browsers. As mobile web usage continues to rise, ensuring your site performs well across all devices is more important than ever, driving the need for robust mobile testing solutions. But here’s the thing: Playwright for mobile web testing changes everything.

Announcing Kubernetes Ingress Controller 3.5

We're happy to announce the 3.5 release of Kong Ingress Controller (KIC). This release includes the graduation of combined services to General Availability, support for connection draining, as well as the start of deprecating support for some Ingress types as we help move customers to the Kubernetes Gateway API. Let’s get into more details about these!

Announcing Mesh Manager Support in Konnect Terraform Provider

We’re excited to announce the beta support for Mesh Manager in the Konnect Terraform Provider — a new tool that brings the power of infrastructure-as-code to Kong’s Service Mesh management platform. This provider enables engineering teams to declaratively manage Konnect Mesh resources using HashiCorp Terraform.

Transforming Jira Test Management with advanced JQL functions for faster QA insights

If you’re part of a software testing team using Jira, you know how crucial it is to keep track of all your tests, their statuses, and how they relate to requirements. But let’s be honest - sometimes getting real-time test insights in Jira isn’t always easy. That’s exactly why the latest update from Xray Cloud is a game changer for test management in Jira. This release introduces 29 new advanced JQL (Jira Query Language) functions designed specifically for testing.

What Is A Flaky Test? Causes, Impacts & How To Deal With Them

In software development and automated testing, consistency really matters. One of the most frustrating barriers that developers and QA engineers encounter is a little something we call flaky tests: tests that pass or fail at random times with no changes to the code. These googly eyed tests tend to do the most damage and can produce unreliable results which erodes trust in the testing function and can even cause release cycles to slow down especially in the architectural context of CI/CD pipelines.