Logging in Action, Video Edition
Logging in Action, Video Edition
English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 10h 10m | 1.61 GB
Make log processing a real asset to your organization with powerful and free open source tools.
In Logging in Action, Video Edition you will learn how to:
- Deploy Fluentd and Fluent Bit into traditional on-premises, IoT, hybrid, cloud, and multi-cloud environments, both small and hyperscaled
- Configure Fluentd and Fluent Bit to solve common log management problems
- Use Fluentd within Kubernetes and Docker services
- Connect a custom log source or destination with Fluentd’s extensible plugin framework
- Logging best practices and common pitfalls
Logging in Action, Video Edition is a guide to optimize and organize logging using the CNCF Fluentd and Fluent Bit projects. You’ll use the powerful log management tool Fluentd to solve common log management, and learn how proper log management can improve performance and make management of software and infrastructure solutions easier. Through useful examples like sending log-driven events to Slack, you’ll get hands-on experience applying structure to your unstructured data.
Don’t fly blind! An effective logging system can help you see and correct problems before they cripple your software. With the Fluentd log management tool, it’s a snap to monitor the behavior and health of your software and infrastructure in real time. Designed to collect and process log data from multiple sources using the industry-standard JSON format, Fluentd delivers a truly unified logging layer across all your systems.
Logging in Action, Video Edition teaches you to record and analyze application and infrastructure data using Fluentd. Using clear, relevant examples, it shows you exactly how to transform raw system data into a unified stream of actionable information. You’ll discover how logging configuration impacts the way your system functions and set up Fluentd to handle data from legacy IT environments, local data centers, and massive Kubernetes-driven distributed systems. You’ll even learn how to implement complex log parsing with RegEx and output events to MongoDB and Slack.
