Systems | Development | Analytics | API | Testing

When we first introduced Streaming Agents, we were solving a fundamental challenge: Every AI problem is a data problem. When data is missing, stale, or inaccessible, even the most advanced agents and LLMs fail to deliver. How do we build scalable agents that aren’t just powerful in isolation, but part of multi-agent systems that are event-driven, replayable, and grounded in accurate data?

We’re excited to announce our Real-Time Context Engine, now available in Early Access. It’s a key part of Confluent Intelligence, our vision to bring real-time data directly to production AI systems through the power of Apache Kafka and Apache Flink.

The recent global IT outage experienced by a major cloud hyperscaler was a disruptive, real-world reminder that downtime and service disruptions are inevitable. The event impacted services across banking, retail, and healthcare, and served as a powerful warning that relying on any single provider, or even a single cloud region, creates a critical business vulnerability. This outage highlights the critical risk of a single-provider strategy, rather than an inherent problem with the cloud.

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?

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.

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.

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.

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.

Atlassian Rovo is the latest evolution of AI-powered knowledge discovery and workflow assistance, built by Atlassian to help teams turn scattered information into meaningful actions. Rovo works on three core dimensions: Rovo is available in all Atlassian products by default. Users have multiple methods to engage with the AI, each offering different levels of complexity and interaction.