The Cost Crisis in Observability Tooling

The article discusses the rising costs of observability tooling and how Observability 2.0 can help reduce these costs. Observability 1.0 relies on multiple tools and data types, which leads to siloed data and inefficiencies. Observability 2.0 offers a single source of truth through wide, structured log events.

Custom Metrics and their importance in Observability

This article is about custom metrics and their importance in observability. It discusses the challenges of understanding complex digital platforms, and how custom metrics can provide more detailed information about how a platform is functioning.

Security Observability and the Mystery of Detection as Code

The article discusses Detection as Code (DaC) as a potential tool to boost Security Observability. While DaC offers benefits like versioning and modularity for detection rules, achieving cross-vendor or cross-tool sharing remains a hurdle due to economic and technical constraints. Jack Coates argues that DaC might hold more promise for internal collaboration within organizations using Security Observability, where a shared language like Sigma can promote team communication.

Bridging IT intelligence and business KPIs with AI: The elephant in the room

It discusses the importance of having a holistic view of an organization’s IT operations and business data. This can be achieved through the use of AI and machine learning. Business observability can improve customer experience, operational resilience, and security.

What is Alert Fatigue? A DevOps Guide On How to Avoid It

The article discusses the causes of alert fatigue, such as the overabundance of alerts, lack of prioritization, and presence of non-actionable alerts. It also outlines signs of alert fatigue and best practices to prevent it.