OpenTelemetry has become the de facto standard for telemetry data. Nearly 50% of surveyed cloud-native end-user companies have adopted it, and the project ranks as the second-highest-velocity initiative in the CNCF, behind only Kubernetes. The direction is clear: if your infrastructure doesn’t speak OpenTelemetry, it will increasingly be left out of the observability conversation. But adopting OpenTelemetry across an entire infrastructure is a different problem than adopting it in a greenfield application.

Choosing between Fluent Bit and Fluentd is an architecture decision, not a product shootout. Both projects live under the CNCF Fluent umbrella and share a common lineage at Treasure Data, but they target different roles in a logging pipeline. Fluent Bit is a C-based telemetry agent designed for low-overhead collection at the edge. Fluentd is a Ruby-and-C data collector built for aggregation, transformation, and multi-destination routing. The practical question is not which one is better — it’s where each one belongs in your stack, and whether you need both.

Why the federal agency breach shows that standardized telemetry formats aren’t optional anymore When CISA analyzed the federal agency breach that went undetected for three weeks, they identified a familiar pattern: EDR alerts existed but weren’t continuously reviewed. Security teams had visibility tools, but critical signals got lost in the noise. What the advisory doesn’t detail—​but every security practitioner knows—​is the infrastructure nightmare hiding behind that simple statement. Those unreviewed alerts likely came from dozens of sources, each speaking its own dialect of security telemetry.

The SentinelOne outage showed why visibility isn’t optional—​even when your defenses keep running. On May 29, 2025, organizations running SentinelOne experienced something unsettling: their security controls kept working, but they couldn’t see what was happening. A software flaw in SentinelOne’s infrastructure control system caused a global service disruption that lasted several hours. According to reports, the incident significantly impacted customers' ability to manage their security operations and access important data.

Collecting, processing, and forwarding logs and metrics at scale. OpenTelemetry provides a common instrumentation model that makes it easier to collect telemetry data across distributed systems, and many modern applications are adopting it as a standard for generating logs and metrics. However, in practice, you still need to collect, process, and shape the data before it becomes useful. You cannot simply forward raw telemetry data downstream without risking that your observability platform becomes expensive storage instead of a means of maintaining visibility into your environment.

Centralized log management is the practice of collecting logs from across an environment, including applications, servers, containers, networks, and cloud services, and storing them in a single location where they can be searched and analyzed. For operations and security teams, centralized logging is now a core requirement. Without it, logs are scattered across hosts, ephemeral containers, cloud consoles, and disconnected tools. This fragmentation slows troubleshooting, complicates incident response, and limits visibility during security investigations.