Operations | Monitoring | ITSM | DevOps | Cloud

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

Scaling Observability on a Budget with Cribl for State, Local, and Education

Over the past year, I’ve noticed some interesting trends in my work with state and local governments. Across my conversations with organizations in this space, there’s a common thread: teams are getting creative about maximizing their limited resources. With budgets either flat or shrinking and operational demands increasing, these teams face tough choices. They’re being asked to maintain or improve services while working with the same, or in some cases, fewer resources than before.

Reduce MTTD+MTTR and Improve User Experience with Observability - Customer Brown Bag - Dec 12, 2024

Please join us as Technical Account Engineer, Duncan McKendrick, teaches how Sumo Logic's observability platform empowers teams to minimize Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) while enhancing the overall user experience. Learn how to leverage real-time insights, streamline incident response, and ensure optimal application performance through actionable data.

Observability in the Age of AI

This post was written by Charity Majors and Phillip Carter. In May of 2023, we released the Honeycomb Query Assistant, an LLM-backed feature that lets engineers use natural language to generate and execute queries against their telemetry data. Instead of having to master a domain-specific query language, you can simply type in things like “slow endpoints by status code” and the Query Assistant will generate a relevant Honeycomb query for you to iterate on.

What is Performance Engineering?

Performance engineering transforms how organizations build and optimize software systems. System delays and performance issues directly impact revenue, user satisfaction, and business success. This guide covers performance engineering fundamentals, implementation approaches, and advanced strategies for building high-performing systems.

What Is Full Stack Observability? Best Observability Solutions

Full stack observability (FSO) includes the ability to measure and monitor all layers of business infrastructure, security, and applications, from the underlying hardware and network performance to the user-facing software. As businesses shift from traditional, monolithic systems to more complex environments involving on-premises (on-prem) and cloud infrastructure, there comes a critical need for holistic observability.

What is O11y? Guide to Modern Observability

Distributed architectures with microservices, cloud-native components, and service meshes make traditional monitoring methods inadequate for system analysis. O11y (observability) implements advanced telemetry frameworks for deep system introspection through metrics, traces, and logs collection. This programmatic approach enables real-time debugging, performance optimization, and architectural decisions across distributed environments.

The Hidden Costs of Hybrid IT: How to Close the Observability Gap

Hybrid IT environments are more complex than ever, and 76% of organizations struggle with ongoing cloud operational management. Why? Because most monitoring tools force you to compromise—leaving critical gaps in your observability strategy. The consequences? Slow issue resolution, missed SLAs, and a damaged customer experience that hits your bottom line. SolarWinds is here to help. Learn how we’re laser-focused on closing the hybrid observability gap and empowering you to maximize performance, minimize downtime, and protect your future growth.

What Is DevOps Observability and Why Is It Critical for Modern Organizations?

Observability refers to the ability of the DevOps team to track, monitor, and measure the state of their pipeline and operations. Without observability, you are working in the dark, unaware of what is working. With the growing complexity of modern IT systems, DevOps observability is no longer optional. Gartner estimates that by 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools, up from less than 20% in 2024.