October 2021 Summaries

Axiom Data Explorer is a high-performance analytics platform designed to handle and analyze large volumes of both fresh and historical structured data quickly, allowing businesses to gain insights and monitor application performance efficiently. The platform utilizes the Axiom Processing Language and offers powerful ingestion and storage capabilities, enabling users to run super-fast queries. This tutorial provides a step-by-step guide on setting up a dataset, ingesting data, generating an ingest token, and running queries using various operators and functions such as tabular, scalar, and aggregation functions. Users can monitor, explore, and analyze data within their datasets through queries that filter, sort, and summarize data, with options to visualize outputs and gain insights into backend performance. Additionally, Axiom encourages engagement through resources like the Axiom Playground and a Discord community for developers to collaborate and share knowledge.

In September, the Axiom team introduced several enhancements, including the release of the Axiom Processing Language (APL), a new query language designed for in-depth data analysis, and the launch of Axiom Data Explorer, which allows users to efficiently filter, manipulate, and summarize data. They also published a tutorial on integrating PagerDuty alerts with Axiom, enabling users to monitor data and log streams effectively. Additionally, Axiom launched Axiom Playground, a demo environment for experimenting with their data analytics platform on live data, which offers the ability to run aggregations and inspect events in real-time. These updates aim to enhance users' ability to gain insights and act on their data with improved speed and ease.