How a Large Media Company Uses Splunk for Analytics-Driven Container Performance and Logging
Offered By: Docker via YouTube
Course Description
Overview
Discover how BILD GmbH, Europe's largest news portal, leverages Splunk for analytics-driven container performance and logging in this 42-minute Docker presentation. Learn about the challenges and solutions for monitoring and troubleshooting containerized applications and infrastructure. Explore the Docker ecosystem, logging options, and logging drivers. Gain insights into Splunk's capabilities for indexing and analyzing container logs, as well as its benefits for visibility across the entire technology stack. Dive into Splunk search functionalities, event types, and excess log handling. Understand the importance of containers in continuous delivery and the problems associated with CI/CD pipelines. Watch a demo showcasing the practical application of these concepts. Examine the benefits of running on pipelines, configuration as code, branching workflows, and DevOps ownership. Explore integrations, Docker build and push processes, service containers, and the test-build-deploy lifecycle. Gain valuable knowledge about container performance monitoring and logging for large-scale media operations.
Syllabus
Introduction
Mission Statement
Docker Ecosystem
Log Options
Logging Driver
DR Images
Germany
Billte
Technology
Key Benefits
How to Get Data into Splunk
Splunk Benefits
Splunk Search
Splunk Excess Log
Splunk Event Types
Call to Action
Containers for Continuous Delivery
Continuous Delivery
Hands Up
Problems with CICD
Demo
Recap
Benefits of running on pipelines
Configurations code
Branching workflow
DevOps ownership
Integrations
CICD
Docker Build and Push
Docker Configuration
Service Containers
Service Configuration
Service Logs
Test Build Deploy Lifecycle
Alpha Customers
Heavenly Customers
Homework
Questions
Taught by
Docker
Related Courses
Architecting .NET Microservices in a Docker EcosystemDocker via YouTube Docker and Pyrsia - Securing the Software Supply Chain
Docker via YouTube Removing Complexity from Integration Tests Using Testcontainers
Docker via YouTube Running an AWS Stack on Your Local Machine
Docker via YouTube Building Observability for 99% Developers
Docker via YouTube