Monitoring and Observability of messaging and middleware has and will continue to be a function of increasing importance and this is especially true for organizations in the Financial Services industry. In the financial services industry, observability refers to the ability to monitor, measure, and analyze the performance, health, and security of financial systems, applications, messaging and middleware which power long running processes in real-time.

When discussing the technical foundations of observability, several key components, often referred to as the “pillars,” emerge. While there is no universally agreed-upon number of pillars, this post will focus on four fundamental elements: metrics, logs, traces, and profiles. Due to the vast amount of data generated by metrics, logs, and traces, sampling is often employed to reduce data volume while maintaining representative information.

Alerts are a perennial topic, and a CoPE will need to engage with them. The bounds of this problem space are formed by two types of alerts: Understanding what these alerts are and how to configure them is one thing. Thinking about what they each do for your organization, and how using one or the other affects things, is another. The latter will be the focus of this article.

AIOps and Observability Market is set to catapult with the advent of Generative AI and as per the recent Cisco article Observability is soon set-to-be a $34 billion market opportunity and CloudFabrix plays a vital role in this evolving landscape as it seamlessly integrates AIOps, Observability, and GenAI to offer a comprehensive solution that enhances IT Operations and drives industry-specific innovations.

We are thrilled to announce that, for the fourth consecutive year, Datadog has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. We believe that this placement reflects Datadog’s continued commitment to solving our customers’ most sophisticated challenges and building products that provide unmatched visibility into the performance, security, and cost of their traditional, cloud-based, or hybrid tech stack—from code to production.

By Christina Kosmowski, CEO, LogicMonitor It’s been a remarkable year, with exceptional moments accelerating value and impact for our customers. Now, I am excited to announce an incredibly significant recognition as a Visionary in the Gartner Magic Quadrant for Observability Platforms, 2024.

This article breaks down the fundamentals, from data collection to analysis, to help you gain deeper insights into your applications.

Elastic has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. The need for observability platforms continues to evolve as operations teams deal with increased complexity and exponential data growth. Emerging trends like generative AI are driving a paradigm shift in proactive root cause detection and resolution.

We’re excited to announce that as part of our expanded alliance with Sumo Logic, observIQ extended its support for Sumo’s platform. This allows customers to send logs and metrics to Sumo Logic, leveraging our telemetry pipeline, BindPlane. We’ve also made it possible to automatically recommend processors in our pipeline that format data specifically as Sumo Logic expects—once Sumo Logic is a destination for BindPlane.

In complex IT environments, monitoring and observability tools are indispensable. They help organizations ensure optimal performance of applications and infrastructure, providing insights and alerts to address potential issues before they impact users. Two of the leading tools in this space are Datadog and Dynatrace. This article offers a comprehensive comparison of these platforms to help you decide which is best for your needs in 2024.