Systems | Development | Analytics | API | Testing

The 16 Best Automation Testing Tools to Use in 2026

The automation testing landscape looks different in 2026. AI-powered tools are changing how teams build and maintain test suites, frameworks like Playwright have overtaken older tools in developer popularity, and no-code platforms have made quality testing accessible to teams without dedicated QA engineers. Choosing the right tool depends on your technical skill level, what you’re testing, how much you want to pay, and how much ongoing maintenance you can handle.

ClearML Enterprise v3.29: Fine-grained Control for Enterprise AI Teams

ClearML Enterprise v3.29 builds on the governance and infrastructure foundations introduced in recent releases. This update focuses on giving administrators and AI teams more granular control over resource allocation, gateway access, and pipeline management while delivering a meaningful set of UI quality improvements across the platform.

How AI is Transforming SME Lending

For decades, SME lending has lived in a strange space. On one hand, small and medium enterprises are the backbone of every economy. They drive employment, fuel innovation, and keep local markets alive. On the other hand, getting access to credit has always been frustratingly difficult for them. Why? Because traditional lending systems were never designed for them. Banks relied heavily on collateral, long credit histories, and static financial statements.

EU Compliance: Open Source Strategies for Sovereignty and Resilience

In today's geopolitical environment, asking 'are we compliant?' is no longer enough. The real question is whether your business can survive if the ground shifts beneath it — through trade wars, embargoes, or regulatory changes that threaten your software supply chain.

The 5 Pillars of AI Ready Data

Most AI failures aren’t model problems. They’re data pipeline problems. Disconnected systems. Inconsistent preparation. No governance at query time. This short animation walks through the 5 Pillars of AI-Ready Data and shows how data needs to move through a structured pipeline before it can power reliable AI. 5 Pillars of AI-Ready Data Access → Prep → Context → Governance → Monitoring Five stages. One connected flow.

New IDE-Like Studio for Kafka: Lenses 6.2 Features & Demo

Discover the powerful new IDE-like Studio in Lenses 6.2. Learn how to manage your Kafka clusters, discover topics across multiple environments, and perform side-by-side comparisons of dev and staging data. We also dive into the new ways to interact with streaming data, including the CLI, VS Code plugin, and the new MCP server for AI agents and chatbots. Whether you're a developer troubleshooting schema mismatches or a data engineer managing complex Kafka estates, the new Lenses Studio provides the tools you need to stay in context and work efficiently.

DORA Compliance for Open Source Explained

DORA's most surprising requirement may be that financial services organizations are responsible for the security and resilience of every third-party vendor and open source dependency in their stack. If a library you depend on fails, that risk is yours to own. Learn more about DORA compliance and how to stay compliant in this clip from the OpenLogic webinar, "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience," which aired in February 2026.

EU AI Act: What Businesses Need to Know

Get information about the practical compliance requirements of the EU AI Act, the first AI regulatory framework with real enforcement teeth. In this clip from OpenLogic's webinar "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience", Perforce CISO Aaron Kiemele walks through classifying AI systems by risk level, establishing human oversight and audit trails, and documenting training data provenance — while noting that these steps are straightforward but frequently overlooked by organizations.