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Observability

The latest News and Information on Observabilty for complex systems and related technologies.

Introduction to Log Observer Connect in Splunk Observability Cloud

Log Observer Connect will allow you to connect to and view/query logs from your Splunk Enterprise or Splunk Cloud instance from within Splunk Observability Cloud. In this video, I will introduce you to Log Observer Connect in Splunk Observability Cloud and walk you through a demonstration of how it works. You’ll learn how to view and query logs, as well as save queries for later use. I’ll also walk you through a practical example of when you might use Log Observer Connect through the use of Related Logs.

Setup Log Observer Connect in Splunk Observability Cloud

Log Observer Connect will allow you to connect to and view/query logs from your Splunk Enterprise or Splunk Cloud instance from within Splunk Observability Cloud. In this video, I will briefly explain what Log Observer Connect is and then show you how to connect your Splunk Observability Cloud organization to a Splunk Enterprise instance through Log Observer Connect. TOC.

Observability Meets Security: Build a Baseline To Climb the PEAK

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.

Aligning Business and Engineering Goals with Honeycomb SLOs

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.

What is Observability? A Comprehensive Guide to Observability Platforms, Tools, and Open Source Solutions

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.

Top 11 Cloud Observability Tools To Use In 2024

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.

From Basic Monitoring to Modern Observability: Shifting Right and Observability as Code

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.

The Meaning of Monitoring & Observability in The Financial Services Industry

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.

The four pillars of observability

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.