pb is a command line tool designed to fit developer's toolkit and help debug issues faster. You can point pb to a Parseable for instance, query and analyze logs, directly from the comfort of command line. The focus is to meet the users where they are, and not force them to switch contexts into different dashboards. pb is written in Go and available as a single static binary for all the major platforms.
Logging agents collect, transform and send log event data to a centralized location for analysis. This blog will focus on Vector logging agent for log ingestion in the Parseable log analytics engine.
While working with Kubernetes, Developers and DevOps engineers need to know how to troubleshoot and find issues in the application. Logs are one of the key aspects for identifying issues and failures.
Kubernetes Operator pattern allows a neat bundling of the application business logic and Kubernetes API. Operators are now widespread and make it easy for end users to deploy and manage an application on a Kubernetes cluster. We are excited to announce the release of Parseable Kubernetes Operator
Log data is growing exponentially, and the boundary between log and analytical data is thinner than ever. Accordingly, logging ecosystem is evolving rapidly. In this post we look at various log collection, storage and value extraction systems in details. Read on for a deep dive.
Parseable is a free and open source, purpose built log observability system. We use advancements in big data and analytics to bring best of efficiency, simplicity, and performance to log data. Learn why and how we're building Parseable.