Systems | Development | Analytics | API | Testing

Personalisation in Healthcare: How Data & AI Are Transforming Patient Experiences

‍ In an era where one-size-fits-all approaches in healthcare are increasingly falling short, personalisation stands out as a powerful transformation. Personalisation in healthcare holds the promise of delivering the proper treatment to the right patient at the right time. With rapid advancements in data collection, computing power and artificial intelligence (AI), what was once a futuristic vision is steadily becoming today's reality.

How to Choose the Right AI Consulting Company in the USA? ( 2026)

‍ Artificial Intelligence is unequivocally becoming the essential driver of business growth, a mandate clearly expressed by the market. But if you’re a U.S.-based enterprise leader, you know the reality feels a lot messier than the headlines suggest. Everyone is talking about AI transformation, but for many, it turns into a maze of complex data science, over-budget projects, and Proofs of Concept (PoCs) that never make it to production.

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.

What is AI Governance? 2026 Framework Guide

While AI is revolutionizing the future of nearly every industry, it’s also created a unique set of challenges and liabilities that will need to be addressed as the area grows. Enter AI governance: a set of rules and best practices to ensure that AI is used effectively, securely, and responsibly. But what exactly does that mean, and why is it so crucial for businesses?

Why I Switched From Rest Assured To Keploy For Microservices Testing

If you’ve been using Rest Assured for API testing, you know how powerful it is. The syntax looks simple and easier to understand, but things get interesting when you have to write test cases and mocks for a microservices application that has more than 2 services. In this blog, I am exactly sharing my pain of writing Rest Assured test cases for a microservices application and why I switched to Keploy not because I am working here, but to show you the real pain points Keploy solves.

Best Serverless GPU Platforms for AI Apps and Inference in 2026

The performance of AI applications depends on its underlying infrastructure. Whether its fine-tuning custom models, performing real-time inference, deploying AI agents, AI workloads require high-performance hardware like Nvidia GPUs or next-gen AI accelerators from Tenstorrent. On top of performance, efficiently running AI workloads in production and at scale is a challenge.

Top PostgreSQL Database Free Tiers in 2026

Looking for a managed PostgreSQL database with a free tier? We've got you covered. In this article, we'll explore the top PostgreSQL databases with free tiers to use for your applications in 2026. These free-tier options are perfect for side projects, MVPs, and learning how to use cloud databases. All these database solutions integrate with Koyeb, enabling you to seamlessly connect databases hosted by third-party providers to your applications running on the Koyeb platform.

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.

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.

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.