Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been named in the 2024 Gartner Market Guide for Data Observability Tools. According to Gartner, “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024.

Business observability is like having x-ray vision for your business systems. It allows you to see and understand the inner workings of your operations through the data they generate—logs, metrics, and traces. Unlike traditional monitoring that detects issues, observability dives deeper to reveal why problems occur and their potential business impacts. Without it, you’re flying blind, hoping nothing breaks. It’s like driving a car without a dashboard.

There’s nothing worse than wasting money on unnecessary costs. In on-premises data estates, these costs appear as wasted person-hours waiting for inefficient analytics to complete, or troubleshooting jobs that have failed to execute as expected, or at all. They manifest as idle hardware waiting for urgent workloads to come in, ensuring sufficient spare capacity to run them amidst noisy neighbors and resource-hungry, lower-priority workloads.

API observability is essential for enhancing performance, speeding up issue resolution, and tightening security. An API observability tool is crucial for understanding and managing the complex web of API interactions within modern enterprise applications. With the benefits of API observability, you can dive deep into API behavior, ensuring reliability and better user experiences.

Building APIs is a fact of life for most modern developers. When we aren’t building them, we integrate them within our applications. Regardless of how you look at it, modern businesses are built on top of the foundation that APIs have built. They’re the bridges that allow different software systems to talk, share data, and work together seamlessly. But with great power comes great responsibility.

Feedback loops are key to what we do as developers. They inform us and allow us to learn from our users’ past and present behaviors. This means we can work toward proactive development based on our reactive past. Proactive Programming vs. Reactive Programming Proactive programming pushes the concept of isolating variables that might be easy to mitigate. The idea is to eliminate problems before they become problems.

In the data-driven world where real-time decision-making and innovation are not just goals but necessities, global data analytics and technology companies like Equifax must navigate a complex environment to achieve success. Equifax sets the standard for operational excellence by enabling real-time decision-making, accelerating innovation, scaling efficiently, consistently achieving service level agreements (SLAs), and building reliable data pipelines.

Struggling with API issues? API observability may have the solution. It reveals the critical insights that hide within API metrics, logs, and traces, offering you the power to diagnose and fix problems swiftly. In this article, we detail what API observability is, how it benefits your systems, and the ways it supersedes traditional monitoring to keep your digital services operating at peak performance.

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. However, as applications and pipelines grow in complexity, understanding what’s happening beneath the surface becomes increasingly crucial. A lack of visibility hinders the development and maintenance of high-quality applications and pipelines, ultimately impacting customer experience.

The capacity to comprehend a system’s or application’s internal state and behavior based on its external outputs or events is called observability. In other words, it’s the capacity to extrapolate a system’s current state from its observable output without directly accessing its internal workings. Observability is crucial in disciplines like software engineering, systems engineering, and control theory.