Adding additional attributes to your telemetry not only provides valuable context to your observability pipeline but also enhances the flexibility and precision of your data operations. Consider, for example, the need to route data from specific geographical locations, like the EU, to a designated destination. With a ‘Location’ attribute added to your logs, you can seamlessly achieve this.

Administrators and IT management are increasingly leveraging simple quantifiable KPI indicators such as “Performance Ratings” to gain rapid overviews and track key outcomes. Modern IT architectures are designed and built to scale and be resilient. Systems are now usually built to handle failover and auto-scale up and down to handle varying demand and workloads with very different properties and needs.

In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io and show up in charts. This works for small projects and organizations that do not control outbound access from their servers. If your organization has more components, network rules, or requires tail-based sampling, you’ll need to create a telemetry pipeline.

An observability strategy helps many businesses support the stability and performance of complex, distributed IT environments. Since you may already be tracking the three pillars of observability—metrics, logs, and traces—why shouldn’t you also use the endless stream of telemetry data to identify security risks and vulnerabilities, just as you use it to monitor and stabilize operations? Even the best-planned observability strategy is incomplete without the fourth pillar of security.

When people hear the word “migration,” they typically think about migrating from on-prem to the cloud. In reality, companies do migrations of varying types and sizes all the time. However, many teams delay making critical migrations or technical upgrades because they don’t have the proper tools and frameworks to de-risk the process.

Just when you thought everything that could be shifted left has been shifted left, we’re sorry to say you’ve missed something: observability. Modern software development—where code is shipped fast and fixed quickly—simply can’t happen without building observability in before deployments happen. Teams need to see inside the code and CI/CD pipelines before anything ships, because finding problems early makes them easier to fix.

There’s a new term on the technology block: Applied Observability. Gartner estimates that 70% of organizations will successfully adopt applied observability capabilities in coming years. The most common use cases of applied observability will include: But exactly what is applied observability? We’ve got the answers and more here for you to get a full understanding. Read on!