Operations | Monitoring | ITSM | DevOps | Cloud

As businesses accelerate digital transformations and cloud adoption to better serve customers and employees in the face of the global pandemic, operational complexity has also mounted. To untangle these complexities and enable executive visibility into IT ecosystem , business leaders are increasingly looking to observability solutions as a strategic investment.

Yes! While data is data (and tools exist on a continuum, and can and often are reused or repurposed to answer questions outside their natural domain), observability and BI/data warehouses typically exist on opposite ends of the spectrum in terms of time, speed, and accuracy, among others.

Before we talk about OpenTelemetry, we should talk about telemetry. Telemetry is: And an instrument is: For the purpose of measuring running computer software and systems, our instruments are virtual instruments. That is to say, code that measures other code. It sounds simple: read a measurement and send it to a remote location. In practice, to make that telemetry data useful in today’s cloud-native and ever more complex environments, there are huge logistical and technical hurdles to overcome.

Ever wonder how your teammates go about debugging? When you use Honeycomb, you’re not only getting observability into your systems; it also provides observability into how your teammates use Honeycomb! Very meta, no? You’re never alone when writing or running Honeycomb queries. Opening up the right sidebar will show you the queries your teammates have recently run on the same dataset.

Our mission at Cribl is to unlock the value of all your observability and telemetry data, regardless of source or destination. We aim to give you choice and control over your data—because we know data has different value to different stakeholders at different times in the data lifecycle. Users are just scratching the surface in terms of the ways they are finding value from Cribl LogStream.

You know that observability plays a crucial role in helping to manage today’s distributed, cloud-native, microservices-based applications. But you may be surprised to learn that – despite its close association with modern applications – observability as a concept was born more than a half-century ago. Its origins stretch all the way back to the late 1950s, long before anyone was talking about microservices and the cloud.

Should we build and run the full observability stack in pre-prod? How much realism vs. waiting for prod? Answer: Yes. You absolutely want observability in pre-production environments—local, dev, performance test, staging, CI, everywhere.