May 2021 Summaries

Lukas Malkmus, a part-time software engineer and student at Technische Hochschule Mittelhessen University of Applied Sciences, hails from a village near Frankfurt and has a diverse array of hobbies, including rowing, skydiving, and technology tinkering. Initially hesitant to pursue a career in technology, he discovered his aptitude for it after serving in the military. Lukas joined Axiom after being recruited by co-founder Seif, attracted by the team's expertise and the company's accommodating culture, which allows him to balance work and education effectively. He describes Axiom as a second family and appreciates the flexibility, mentorship, and supportive environment. Lukas advises peers to consider the quality of coworkers, confidence in the company, and culture when choosing a workplace, and he aspires to sail across the Atlantic, a goal that might surprise those who know him.

Rancher is an open-source platform designed for managing Kubernetes across various environments, supporting any certified Kubernetes distribution like GKE, AWS, and Azure. This guide details the process of integrating Rancher with Axiom for efficient monitoring of Kubernetes clusters and services. By following the tutorial, users can ingress logs from Rancher to Axiom, enabling analysis, streaming, and visualization of queries on Kubernetes logs. The setup involves creating an EKS cluster on AWS through Rancher, generating an ingest token on Axiom, and using Filebeats to forward logs. The integration allows real-time insights and visualizations of Kubernetes logs, facilitating data segmentation and aggregation. The tutorial provides step-by-step instructions for setting up the necessary infrastructure and configuring the Axiom dataset, highlighting the ability to monitor and analyze high volumes of Kubernetes logs in real-time.

The article, authored by Tola Ore-Aruwaji, outlines the process of using Logstash, a server-side data processing pipeline, to ingest and analyze data by streaming logs to Axiom, a data platform. The tutorial highlights the prerequisites needed, such as an Axiom dataset, token, and Logstash configuration file, and guides users through setting up Logstash to import logs from multiple sources, transforming them, and outputting to Axiom for easy analysis and monitoring. It also covers how to analyze logs within Axiom, gather live events, customize dashboards, and create alerts. The article details configuring monitors and notifiers to trigger alerts based on specific conditions and explains setting up different notification channels like Email, Slack, PagerDuty, and Webhook. Readers are encouraged to refer to the documentation for more in-depth guidance and to reach out with questions or issues regarding the configuration process.

DigitalOcean Kubernetes (DOKS) is a managed service that simplifies deploying Kubernetes clusters by removing the complexity of managing the control plane and infrastructure, allowing users to efficiently handle multiple pods on their app platform. The service integrates seamlessly with native Kubernetes applications and offers robust monitoring capabilities through Axiom, which helps identify runtime bottlenecks, firewall errors, and resource capacity issues. The guide provides a step-by-step process for setting up a Kubernetes cluster on DigitalOcean, including configuring the doctl CLI, managing tokens, and using Axiom to centralize, monitor, and analyze logs from the cluster. Users can streamline their log management by using Axiom to collect insights, run data aggregations, and visualize results, enhancing the observability of their DigitalOcean Kubernetes Service.