Operations | Monitoring | ITSM | DevOps | Cloud

The power of AIOps and Observability relies on the ability to ingest, normalize, and correlate the large volumes and huge variety of data available to IT operations teams. With its support for both Broadcom and third-party data, DX Operational Observability (DX O2) gives these teams unmatched observability and insights. With so much data coming to DX O2, monitoring operators need to be notified when important events may occur: Without notifications, important alerts may be overlooked.

At Honeycomb, we’re actively growing our design system, Lattice, to ensure accessibility, optimize performance, and establish consistent design patterns across our product. One metric we use to measure Lattice is the adoption of components across the product. Adoption is about understanding how, where, and why they’re being used.

Public sector organizations today face unique challenges in maintaining and optimizing their IT infrastructure and prioritizing efficiency and interoperability. With a mix of modern cloud and legacy systems, ensuring consistent performance, reliability, and security is paramount. To effectively observe across these environments, government agencies need observability tools that are open, flexible, and scalable. OpenTelemetry (OTel) is fast becoming a pivotal part of that flexible toolset.

From day one, we built Coroot to work beyond just Kubernetes. Many teams still run databases and other stateful services on dedicated VMs or bare-metal servers. But that’s starting to change. More and more teams no longer see Kubernetes as a platform just for stateless apps. Powerful Kubernetes operators now handle day-2 operations like failover, backups, and disaster recovery—making it easier than ever to run databases on Kubernetes. And the number of teams choosing this path keeps growing.

Note: The original version of this blog post published on ;login: on February 24, 2025. When architecting the flow of observability data such as logs, metrics, traces or profiles, you’ve likely noticed that most solutions ask you to deploy an agent or collector. Understandably, you might be hesitant to deploy yet another application just so you can get your data into your storage system of choice.

CloudWatch metrics can be a very useful source of information for a number of AWS services that don’t produce telemetry as well as instrumented code. There are also a number of useful metrics for non-web-request based functions, like metrics on concurrent database requests. We use them at Honeycomb to get statistics on load balancers and RDS instances. The Amazon Data Firehose is able to export directly to Honeycomb as well, which makes getting the data into Honeycomb straightforward.

Managing containerized workloads and Windows environments requires more than just basic monitoring—it demands deep observability to prevent performance bottlenecks, optimize costs, and accelerate troubleshooting. Virtana’s latest Container Observability enhancements provide IT teams with greater control, visibility, and analytics across Kubernetes and Windows-based workloads.

Modern IT environments are complex, spanning on-premises, cloud, and hybrid infrastructures. Without deep observability at every layer, performance bottlenecks, inefficiencies, and troubleshooting challenges can drain resources and impact business outcomes. Virtana’s latest Infrastructure Observability enhancements are designed to eliminate blind spots, automate performance tuning, and simplify IT operations.

Observability metrics provide insights into the performance, behavior, and health of applications, systems, and infrastructure — enabling observability practices, which is how a system’s internal state is understood by examining its data. As organizations continue to collect more and more data, observability metrics are a key telemetry signal for observability.

You've got systems spitting out more logs, metrics, and traces than you can handle. Your monitoring costs are through the roof. And somehow, when something breaks at 3 AM, you still can't find the exact data you need. Sound familiar? Welcome to the observability pipeline conversation—no jargon, no fluff.