Systems | Development | Analytics | API | Testing

Best 5 Container Image Security Platforms for 2026

By 2026, container image security will no longer be evaluated in isolation. For most organizations, the image layer has become one of the primary sources of security debt, quietly accumulating vulnerabilities that multiply across services, clusters, and environments. What has changed is not just the volume of vulnerabilities, but the cost of managing them. Faster release cycles, shorter maintenance windows, and tighter compliance expectations have pushed teams to reconsider whether traditional scanning-and-patching workflows are sustainable at scale.

Resilience Testing of a Tester | Ashwini Lalit | Testflix2025 | #testingcommunity

Testers are great at finding flaws in systems. But what happens when the system under test is the tester themselves? In today’s world of constant change, rising stress, and growing uncertainty, resilience has become just as critical as technical skill. From handling pushback and tight timelines to navigating burnout and self-doubt, testers face pressures that often go unseen.

Verification Vs Validation For API-First Software Development

It’s easy to create APIs very quickly. However, creating APIs that are reliable when used in challenging distributed systems is much harder. Many development teams are moving quickly to ship features to the market, which has led to the verification vs validation distinction becoming the middle ground between a successful launch and an incident that could occur from a production system.

Where AI Goes Wrong - The Blind Spots Testers See | Rahul Parwal | Testflix2025 | #testingcommunity

AI promises speed, but testers are often the first to notice where it quietly breaks down. Beneath the impressive outputs lie hidden issues like hallucinations, false confidence, and blind spots that can easily go unnoticed yet cause real damage if left unchecked. This atomic talk explores the subtle ways AI can fail, why speed without reliability is risky, and how testers play a critical role in supervising and strengthening AI systems. It highlights practical strategies for working alongside AI to make its outputs more trustworthy, reliable, and genuinely useful.

How to become a pro data analyst if you've never done data analysis before

People feel more confident when their decisions are backed by numbers. That’s just human nature. Add a chart or a metric to a conversation, and suddenly an opinion feels more credible. This is one reason companies invest heavily in analytics tools. They’re not just buying dashboards, they’re buying confidence. Confidence that decisions are grounded in reality, not gut feel. But here’s the problem: having data doesn’t automatically make decisions easier.

The 2025 Kong Year in Review

Another year is wrapping up, and we’re taking a moment to reflect on what made 2025 a defining year for Kong. With major advances in building the AI connectivity layer and soaring enterprise adoption of agentic systems, this year sparked a hockey-stick surge in demand for the infrastructure that powers intelligent agents. Below is a rundown on the updates, the innovations, and the moments that moved the industry in one year-end recap.

Testing Business Logic with Ease | Alex Schwartz | Testflix2025 | #testingcommunity

Business logic sits at the core of every system, yet it often becomes the hardest part to change. Rules get buried in complex code, feedback arrives too late, and even small updates turn into slow, risky efforts. This session explores why teams struggle with something that should be simple and how to bring clarity back into the process.