The Path from Unstructured Logs to Observability

Logging Observability Software Engineering
screenshot from the Matrix movie
Rachel Perkins

By: Rachel Perkins |

Logging Observability Software Engineering

1 Min. Read

Try now

Are you starting out on your journey toward observability? Do you have a mandate from management, or are you a lone warrior in the matrix? From your starting point, how will you make the right decisions about how to implement changes to your logging and aim for the right path through the various choices in front of you?

screenshot from the Matrix movie

A map can help: The Path from Unstructured Logs to Observability offers concrete guidance on how to get started and where you should think about heading.

Whether you’re ready to pick your first logging library or are thinking about tracing, Honeycomb is here to help you on your path to observability.

Download The Path from Unstructured Logs to Observability and make the future a better, more observable one :).

 

 

 

 

 

x icon linkedin icon youtube icon facebook icon
Don’t forget to share!
Rachel Perkins

Rachel Perkins

Related posts

Fewer Logs, More Value

Alex Boten |

Fewer Logs, More Value

We’re always interested in improving the signal-to-noise ratio of our internal telemetry at Honeycomb. In an effort to reduce the amount of noise in our logs, we looked at reducing and deduplicating the logs emitted by our infrastructure and applications.

Logging OpenTelemetry
Ingesting JSON Logs From Containers With the OpenTelemetry Collector

Martin Thwaites |

Ingesting JSON Logs From Containers With the OpenTelemetry Collector

So, how do we get JSON logs into a backend analysis system like Honeycomb that primarily accepts OTLP data? In this post, we’ll cover how to use the filelog receiver component in the OpenTelemetry Collector to parse JSON log lines from logs files, as there are a few ways to achieve this.

Logging OpenTelemetry
Tracing the Line: Understanding Logs vs. Traces

Rox Williams |

Tracing the Line: Understanding Logs vs. Traces

In the software space, we spend a lot of time defining the terminology that describes our roles, implementations, and ways of working. These terms help us share fundamental concepts that improve our software and let us better manage our software solutions. To optimize your software solutions and help you implement system observability, this blog post will share the key differences between two important terms: traces and logs.

Logging Tracing