Systems | Development | Analytics | API | Testing

AI is proving that it’s here to stay. While 2023 brought panic and wonder, and 2024 saw widespread experimentation, 2025 will be the year that financial services enterprises get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

The need to democratize and share data inside and outside your organization, as a real-time data stream, has never been more in demand. Treating real-time data as a product, and adopting Data Mesh practices, is the way forward. Here, we explain the concept through a real-life example of an airline building applications that process data across different domains.

Democratizing and sharing data inside and outside your organization, as a real-time data stream, has never been more in demand. Treating data as-a-product and adopting Data Mesh practices is leading the way. Here, we explain the concept through a real-life example of an airline building applications that process data across different domains.

Whether you’re struggling to pinpoint why your bounce rate is off the charts, understand which pages drive conversions, or optimize the user journey, the right website analytics tool can make or break your strategy. But with countless platforms claiming to be the best, choosing one feels overwhelming. That’s why we’ve handpicked the top 15 website analytics tools for 2025 to help you track the metrics that matter and grow your business smarter—not harder.

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

You don't need to constantly create new APIs when you wish to link digital assets to your system. A Reusable API give you the power to integrate multiple applications and platforms with ease. This can help you to save time, optimize performance, and make tracking data a much simpler process.

Today, Confluent, the data streaming pioneer, is excited to announce its entrance into MongoDB’s new AI Applications Program (MAAP). MAAP is designed to help organizations rapidly build and deploy modern generative AI (GenAI) applications at enterprise scale.

As organizations evolve – onboarding new team members, expanding use cases, and broadening the scope of model development, their compute infrastructure grows increasingly complex. What often begins as a single cloud account using available credits can quickly expand into a hybrid mix of on-prem and cloud resources that come with different associated costs and are tailored to diverse workloads.

A big part of data teams’ responsibilities is dealing with the unpredictable. Data pipelines don’t always run without incident: you need to rerun processes and fix data processing issues—in other words, put out data fires—to keep stakeholders happy. For every significant roadblock, additional time and effort is given over to investigation and post-mortem reports to make sure the incident doesn’t reoccur. But naturally, they keep happening.

We’re happy to announce that Codemagic has received a perfect SOC 2 Type 2 report! We received our SOC 2 Type 1 report earlier this year and now we have received our Type 2 report with no exceptions noted! At Codemagic, we take the security and privacy of your data seriously. That’s why we went through the tough process of getting audited with the SOC 2 framework. “We’re proud to have achieved a perfect SOC 2 Type 2 report!