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For several hours in the day, millions of users were staring at loading screens or frozen apps. Communication channels went quiet. Games, financial platforms, healthcare apps – and even beds – were all down. The culprit this time: an outage in Amazon Web Services' us-east-1 region. AWS is the dominant provider of cloud compute globally, and us-east-1 is its oldest and busiest region. Countless businesses globally depend day-to-day on services hosted in that region.

Good software has a long lifespan, but the technological landscape constantly changes. To remain useful and relevant, your software must evolve, adapting to new demands, much like FAANG companies. This continuous evolution isn't just expected; it's often beneficial, leading to better, more resilient systems over time. Changes come in many forms: evolving requirements, new features, and shifting dependencies, such as updated libraries or external APIs.

If you’ve built REST or GraphQL endpoints from Microsoft SQL Server, the next hurdle is publishing clear, accurate, and secure documentation. This list spotlights the best tools to document SQL Server–backed APIs in 2025. It reflects DreamFactory’s perspective on the market and how teams actually ship docs at scale. We prioritize products that either generate OpenAPI from SQL Server automatically or excel at turning existing specifications into collaborative, developer-friendly portals.

If financial reporting nightmares are keeping you up at night, you’re not alone. As the long hours exporting data, running reports, and fixing errors cast dark shadows over your days, take heart and get clear insights into your data with these tips. With tools and processes that save you time, you can mark yourself safe from these scary financial reporting situations.

As 2026 planning kicks into high gear, your CFO may be putting every technology investment under the microscope, but the focus and pressure to deliver on AI Innovation has never been higher. For IT Leaders, the challenge is clear and straightforward. How do you strike a balance continuing to move your AI initiatives forward and maintaining a balanced budget in 2026?

Thanks to ever-increasing adoption technologies like Apache Kafka and Apache Flink, the continuous movement and streaming of real-time data has transformed how modern businesses operate… but is the cost of data streaming worth it? From powering personalized recommendations to enabling instant fraud detection, streaming is often seen as synonymous with innovation and competitive advantage. But like any investment, the cost-benefit equation has to make sense.

Findings from 109 data professionals on how teams are monitoring and improving data reliability.

Here at Lenses we’re as always laser-focused on making engineering streaming apps and managing Kafka, not just less stressful, but delightful. 6.1 is another big step forward. It starts with the Lenses MCP Server. It connects your AI assistant such as Cursor and Claude, bringing the knowledge of the internet with the context of your Kafka environment. It has the power to transform the work of engineers building and managing streaming apps.

If you’ve been running Kafka for a while, with any luck you have quite a few engineering teams onboarded, potentially with hundreds or even thousands of applications. Hopefully the Lenses.io Developer Experience platform helped in this adoption. But finding the right balance between governance and openness can be tricky.

Core Banking and Digital Banking transformations are the highest-stakes projects in finance, yet up to 55% of these programmes fail to meet their objectives, budget, or timelines. The problem is rarely the technology or application itself; it is the Assurance Model failing to control the systemic risk of integration, data, and governance. Testhouse has been embedded in recent large-scale core banking migrations, witnessing firsthand where the critical risks lie and, crucially, how to prevent them.