Operations | Monitoring | ITSM | DevOps | Cloud

Observability has become essential to organizations of all sizes, helping them get deeper, better insights into the infrastructure and applications driving their businesses.

When we hunt in new environments and datasets, it is critical to build an understanding of what they contain, and how we can leverage them for future hunts. For this purpose, we recommend the PEAK Threat Hunting Framework's baseline hunting process.

Setting clear, measurable goals is essential for any successful team. However, aligning those goals with the technical work can be challenging in the fast-paced world of software engineering. Engineers might focus on reducing latency or improving uptime, while business leaders look at revenue and customer satisfaction. It gets tricky to track the impact between the two to justify when specific engineering initiatives are important, why, and how they impact the bottom line.

Explore the concept of observability in software systems and discover how it differs from monitoring. Learn about the importance of metrics, traces, and logs, and see how Uptrace can be a valuable tool in achieving effective observability.

Cloud observability tools offer visibility into your cloud infrastructure. They collect data from various sources to help you understand your applications’ performance. The tools enable you to monitor, optimize, and troubleshoot your cloud environment. In this guide, we’ll share why cloud observability is important and the best tools to consider.

I've been in the observability market long before it even had that name. Over the years, observability has undergone a significant transformation. As someone who has witnessed these changes firsthand, I can attest to the dynamic nature of this field. In the early days, it was largely about basic monitoring: tracking system metrics, lots of logs, and simple alerts.

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.

"Transformative Solution" says a Director of IT in a $30B+ retailer. "Best Monitoring and Observability Tool > Splunk," is how a software engineer in a software company labels it. These are only a couple of the terms our customers use when describing the value they are getting from Splunk. With these descriptions in mind, we are elated that Splunk has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for the second year in a row in this category.