Operations | Monitoring | ITSM | DevOps | Cloud

Earlier this month I hosted the “Everything You’ve Heard About Observability is Wrong (Almost)” webinar– thanks to all of you who attended. I wanted to follow-up with the attendees as well as those who were not able to join. As promised, it wasn’t the same old Observability presentation that we have grown accustomed to you know, all marketing with little value.

Data enrichment is the process of adding additional context or attributes to telemetry data at the source that increases its value during analysis. OpenTelemetry, a collaborative open source telemetry project with the largest organizations in the observability space, can be configured to enrich logs and metrics from dozens of sources. This blog will show you the basics of how to use BindPlane OP to easily deploy and configure OpenTelemetry to enrich data from a source.

Configurations are considered the heart of network infrastructure. They are often adjusted to improve the overall workflow of the network environment. One small unnecessary change to a configuration can bring down an enterprise’s entire network infrastructure. Therefore, the changes made to configurations must always be checked to ensure they are in sync with the devices to improve efficiency and performance. A network configuration is generally divided into two parts: 1.

Logs are a critical aspect of any production workload, as they give you insight into what is happening in your system and tell you which components may be having issues. The traditional method of looking at logs involves basic Linux commands like tail, less, or sometimes cat.

So your team has access to a logging tool? Great! What’s the first thing you want to find? The latest config change gone wrong? Data from 30 days ago when a specific server was at high capacity? Or maybe you’d like to access logs for a certain IP on a certain day for specific HTTP and servers with counts and averages. Hopefully there was training to teach you the specific query languages and expert skills required to answer these questions.

We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product to meet developers where they are, to ensure their happiness, and accelerate Time to Awesome. This week, we are covering a product release that we think will save you time and effort when using InfluxDB with data retention requirements.