Systems | Development | Analytics | API | Testing

If your organization relies on Informatica’s Information Lifecycle Management (ILM) for business reporting, recent announcements about the platform entering maintenance mode have likely raised important questions about your reporting strategy. Understanding what this transition means and how to protect your critical data access are essential for maintaining business continuity.

Be “Day 0 Ready” with our Pixel 10 Series Testing — eliminate coverage gaps and stay ahead of your users.

Minimize data loss during planned DR activities and ensure business continuity with soft failover in BigQuery Managed Disaster Recovery.

In the software development lifecycle (SDLC), deployment is the final step, the one where your app is delivered to users. Traditionally, this has meant installing software on the customer’s premises or hosting it in-house. But this approach comes with significant overhead: With the rise of cloud computing, Software as a Service(SaaS) and Platform as a Service(PaaS), these manual steps are quickly being replaced.

When it comes to dashboards, there are usually two schools of thought: self-service dashboards users can build themselves or finished dashboards. In our world, we call these finished dashboards managed dashboards. There is no right or wrong choice. Self-service dashboards are excellent for exploration and flexibility. Managed dashboards are just as valuable because they give users exactly what they need without forcing them to do extra work to get to the data.

Tobiko brings advanced, multi-engine transformation into the Fivetran platform — powered by robust open source technology and designed to deliver faster, more flexible data workflows for analytics, operations, and AI.

The rise of Model Context Protocol (MCP) has given AI agents and large language models (LLMs) a standardized way to talk to external tools, APIs, and data sources. In theory, it solves the messy integrations and custom connectors that have slowed down real-world agent adoption. A clean protocol should mean smooth interoperability. However, we’re observing certain patterns of fragmentation. Each MCP server runs in isolation. Agents have to handle multiple connections.

Ever feel like you're fighting an uphill battle with your API strategy? You're building APIs faster than ever, but somehow everything feels harder. Wasn’t API-first supposed to make all this easier? Well, you're not alone. And now industry analysts are noting it as well. New Gartner research on successful API-first integration just came out, and it validates something we've been saying for a while: many organizations are fundamentally misunderstanding what API-first actually means. The result?

QA has long been seen as the final step before release. A gatekeeper. A checklist item. But today’s product velocity and user expectations have changed the game. QA is no longer a stop sign. When done right, QA shapes outcomes across the business. It helps teams release faster, catch issues earlier, and align quality with customer needs. In this article, we’ll show you: Let’s get started.

Test Documentation is the backbone of a reliable testing process. It shows how you plan testing and how you record results. In this article, you will learn the essentials of Test Documentation, the importance of test documentation for your releases, and the test documentation best practices that raise quality. We keep things simple and useful. You get examples and steps that you can apply today. Let's dive in!