Systems | Development | Analytics | API | Testing

Open Source Load Testing Tools: A Modern Guide For Devops & Sre

Have you ever observed an application that was completely functional, and suddenly it starts lagging at peak usage? Most teams are concerned with functionality first and performance under load second. Open source load testing tools expose your application’s bottlenecks before your users notice them. In this blog, we explain how these tools work, compare their features, and discuss best practices.

Build vs Buy: The Data Connectivity Decision

Your connectivity decisions have long-term consequences. They affect development velocity, cost structure, and time-to-market for years. When evaluating ODBC and JDBC connectivity options, technical leaders face pressure to deliver quickly while managing constrained resources and demonstrating ROI. Building connectors appears cost-effective when evaluating initial development costs alone.

Appian DocCenter for Financial Services

Documents are the foundation of nearly every process in financial services, including client onboarding, regulatory reporting, trade lifecycle management, asset servicing, and more. This constant flow of unstructured content, such as Investment Policy Statements, complex legal agreements, and compliance forms, burdens teams with manual review, creates significant operational friction, and increases the risk of data inconsistency and regulatory non-compliance. Watch this video to see how Appian DocCenter automates the entire document lifecycle.

Tideways 2025.4 Release

In our fourth Release of 2025, we included PHP 8.5 support on the day of its release and Heartbeats to monitor your application’s pulse more closely than ever. If something is offbeat, you’ll receive timely alerts. We improved alerting by introducing fine-granular transaction level response time and made automatic tracepoint triggers more powerful.

Kong AI Gateway and the EU AI Act: Compliance Without the Rewrites

The EU AI Act is here, and for many enterprises, it represents a massive coordination challenge. As the world’s first comprehensive AI law, it mandates strict governance on transparency, risk management, and data quality. For platform engineers and architects, the immediate question is operational: How do we comply with these new regulations without forcing every developer to rewrite their applications?

KubeCon Retrospective: Platform Engineering Needs to Do More Testing

Every year, KubeCon offers a candid look at where the cloud-native community stands — the tools gaining traction, the pain points teams share, and the big gaps still holding organizations back. After a week of deep conversations, session hopping, and talking to dozens of platform teams, one theme became impossible to ignore: Platform engineering still isn’t doing enough testing. And even more surprising: many teams don’t think testing is their responsibility.

Report: The state of software test automation in the age of AI - promising updates for 2026

When we first published this report last year, AI in software testing was still an experiment for most teams. Since then, well… everything has changed. In 2025, AI hasn’t been a promise of what’s to come — it’s become an everyday reality.

How Much Does It Cost to Build a White-Label Healthcare Analytics Software in 2025

‍ Healthcare isn’t short on data; it’s short on usable insight. Hospitals generate an enormous share of global data, and about 30% of the world’s data now comes from healthcare, growing at one of the fastest rates across industries (RBC Capital Markets). Yet an estimated 97% of health data still goes unused for care and operations (World Economic Forum).

Ai Testing: A Complete Technical Guide To Intelligent Software Quality

Testing is a very important and necessary step in the SDLC, but most teams ignore it or don’t care much about it, while some teams spend most of their time on testing instead of building features. AI is really changing the way we write code, but most people use it mainly for writing test cases, and we still end up doing it manually. So in this blog, let’s see what AI testing is, how AI helps in testing our software, what AI tools are available, and which tools help with which part of testing.