Systems | Development | Analytics | API | Testing

OpenClaw adoption is accelerating fast, and so are the security incidents. Within two weeks of broad adoption, over 42,000 gateway instances were found exposed to the public internet with no authentication. Nearly all of them had authentication bypasses. Eight were completely open with full shell access. Meanwhile, 341 malicious skills were confirmed on ClawHub, and infostealers like RedLine and Lumma are already targeting OpenClaw installations to harvest API keys.

High-Performance Computing (HPC) has traditionally been an exclusive club. If you wanted to run massive simulations or crunch petabytes of data, you had to leverage the predominant languages used on supercomputing hardware—usually C, C++, or Fortran. Although fast and efficient, these languages demand strict memory management and complex syntax that require strong software development skills. Without them, development time can slow down significantly. But the landscape is shifting.

Provisioning data for software testing requires balancing realism against security. Teams need production-like data to validate applications effectively. But they also have to adhere to strict privacy regulations. Two of the leading methods for creating and securing test data are data masking and synthetic data generation. Data masking de-identifies sensitive production data, preserving its scale, realism and referential integrity.

Your service doesn’t crash. It just gets slower. Latency creeps up. Requests that used to take 20ms now take 120ms. p99 drifts. Throughput drops slightly. Nothing is obviously broken — but the system feels congested. You open your dashboards. And yet, something is clearly off. In many production systems, this is what Event Loop pressure looks like. Not a failure. Not an outage. But a runtime that is struggling to make forward progress. The JavaScript thread is not dead. It’s busy.

I've lost count of how many times I've heard some version of this story: A development team needs to spin up a new environment for testing, but the request often sits in a queue for days — sometimes weeks — while infrastructure teams wrestle with storage constraints and provisioning bottlenecks. By the time the environment is ready, priorities have shifted, sprint deadlines have been missed, and the team that requested it is already firefighting the next production issue. The kicker?

This guide shows how to create a single API layer that joins data across MySQL, Postgres, and MongoDB using a federated query engine with an API gateway pattern. You will implement a hands-on build, see code samples, and review performance, security, and governance steps. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough.

Your database contains thousands of answers. The problem isn't the data—it's that exploring it requires either technical skills or waiting for someone who has them. But what if you could sit down with Claude and just... talk through it? Ask a question. Follow a thread. Go deeper when something looks interesting. This isn't about running queries—it's about having analytical conversations with your own business data, guided by an AI that excels at exactly that kind of thinking.

In the enterprise technology landscape, consistency is often the hardest metric to maintain. At WSO2, we view our customer feedback as a critical North Star, guiding our commitment to providing transparent, high-performance API, integration, and identity solutions. We are pleased to announce our latest customer survey results for the second half of 2025 (H2). These figures not only reflect a successful six-month period but also cap off a year of remarkable stability in our global customer relationships.