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.

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!

Across industries and geographies, businesses rely heavily on Systems Applications and Products (SAP) systems. These powerful and versatile systems streamline operations and manage critical data spanning areas like finance, human resources, and supply chain. However, the real-time monitoring of these systems, with an in-depth understanding of performance metrics and quick anomaly detection, is paramount for smooth operations and business continuity. It's here that our unique offering steps in.

Engineering organizations that ship fast have Observability as part of their core DNA.

At Traceloop, we’re solving the single thing engineers hate most: writing tests for their code. More specifically, writing tests for complex systems with lots of side effects, such as this imaginary one, which is still a lot simpler than most architectures I’ve seen: As you can see, when an API call is made to a service, there are a lot of things happening asynchronously in the backend; some are even conditional.

In the not-too-distant past, the debate was between on-prem and cloud-native. You’re now faced with the choice of choosing between the different cloud infrastructure providers, and inevitably, someone will throw in the phrase “vendor lock-in”. And not having a response for the famed “vendor-lockin” sometimes leads to building things that are much more complex than required basis the stage that the product is in.