July 2021 Summaries

The guide by Tola Ore-Aruwaji, a Developer Relations Engineer, provides an in-depth walkthrough on creating alerts using Axiom to monitor unusual behavior in Memcached by integrating it with Packetbeat. It details the prerequisites, including having Packetbeat installed and configured with the Memcache protocol, and explains how to set up an Axiom Dataset and Ingest Token. Users are guided through configuring Packetbeat to capture network traffic and ship Memcache metrics to Axiom. The process also involves creating a dataset and generating an ingest token in the Axiom UI. Once the data is ingested, users can set up Monitors and Notifiers in Axiom to receive alerts for specific conditions, such as spikes in network traffic or timeouts. The guide emphasizes configuring Monitors with specific threshold values and selecting notification methods like Email, Slack, PagerDuty, or Webhook to ensure timely alerts. Additionally, users are shown how to use aggregation types in queries to detect network traffic anomalies effectively. The guide concludes with a reminder of the extensive features available in Axiom for app monitoring and invites readers to engage with further resources and community support.

Author Tola Ore-Aruwaji discusses how to leverage Metricbeat and Axiom to collect and visualize system metrics through comprehensive Elasticsearch dashboards. By integrating these tools, users can monitor system load, libbeat logs, and other metrics from sources such as Apache and Nginx. The article provides step-by-step guidance on setting up Metricbeat on various platforms, configuring modules, and shipping data to Axiom. It emphasizes the ease of creating, customizing, and sharing dashboards, allowing teams to identify system performance issues and track changes over time. The piece encourages engagement with the Axiom community for further questions and insights into observability practices.

The guide by Tola Ore-Aruwaji, a Developer Relations Engineer, details how to utilize Axiom's log analytics for creating visual representations of data to monitor applications and services effectively. The process begins with ingesting events into an Axiom dataset using various methods such as the Ingest API or Elasticsearch Bulk API, followed by generating an ingest token. Once the data is ingested, users can employ Axiom's UI to run aggregations, extract statistics, and create visualizations like charts and tables, which help in analyzing data trends over time. The guide further explains how to use the Group By clause and histogram aggregation for segmenting and visualizing data, alongside sharing insights via Axiom Dashboard for collaborative analysis. It invites users to explore further resources and engage with the community for support and updates.