Systems | Development | Analytics | API | Testing

Exploring API Endpoints in Depth

API endpoints process requests that power our digital world—from social feeds updating in real-time to enterprise systems syncing global inventories across continents. APIs comprise over 57% of Internet traffic, yet API endpoints often remain misunderstood. This leads to design inconsistencies, brittle integrations, and costly maintenance issues. Sound familiar? If you've merged microservices and untangled mismatched status codes, you know the pain.

Apache HBase ETL Tools: Bulk Load & Incremental Strategies

Apache HBase provides a distributed, column-oriented model with tables → rows → column families/qualifiers and versioned cells. The design is ideal for sparse, wide datasets. ETL is central because performance hinges on how data moves through the default write path—WAL → MemStore → HFiles—versus bulk-load paths that write HFiles directly.

Penetration Testing Services To Strengthen Your Security And Reliability

Modern technology (APIs, Microservices, Cloud Platforms, Mobile Apps) is rapidly changing and becoming a target for attackers as they continue to advance and become more sophisticated. Organizations use penetration testing (a form of ethical hacking) to identify weaknesses in their systems and address them before they can be taken advantage of.

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.

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.

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.

Application Rationalization Is a Strategy, Not Just a Purge

Most business leaders view application rationalization like cleaning out a garage: a painful, one-time chore to throw away junk to save space. It is often viewed strictly as a subtraction game that overlooks business context. Get rid of legacy technical debt to lower application costs and IT spend. But this mindset ignores value. A better way to view your application stack is through the lens of a stock portfolio.

What Is Beta Testing? Process, Types, Benefits, And Best Practices

Today’s software ecosystem consists of various devices, integrations, and user environments. The same application can have different behaviours in each environment, regardless if it had passed through unit, integration and system testing stages. Therefore, beta-testing is necessary. Beta testing is the bridge between an internal QA team and a company publicly launching its application.