Deployment & Configuration
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1. Deploying Metric Insights
- 1.1 What deployment options are available?
- 1.2 What are the System Requirements for a Metric Insights Server?
- 1.3 Single Server Docker Deployment (Simple Install)
- 1.4 Deploying Metric Insights in an Orchestrated Environment
- 1.5 Deploy Metric Insights as a Virtual Appliance
- 1.6 What are the main components of the Metric Insights stack?
- 1.7 Expose Metric Insights on VMware when using NAT networking
- 1.8 Deploy Metric Insights on Amazon EC2
- 1.9 Logging via Splunk (6.x)
- 1.10 Where are all those Log Files? (6.0+)
- 1.11 Accessing the Metric Insights Log files
- 1.12 MI Chatbot Deployment (prior to v6.3.5)
- 1.13 Operating system Linux package requirements for v6.1+
- 1.14 Deploying Container Orchestration with Docker Swarm
- 1.15 Docker Commands Cheat Sheet (Swarm Deployment)
- 1.16 Docker Commands Cheat Sheet (Simple Install / Single-server / Non-orchestrated)
- 1.17 Creating Amazon ECS Scheduled Tasks for MI utilities
- 1.18 Deploy Metric Insights on Kubernetes
- 1.19 Kubectl Commands Cheat Sheet
- 1.20 Administer Metric Insights in Kubernetes
- 1.21 Deploy Metric Insights on OpenShift 3/4
- 1.22 Docker Deployment on Windows Host
- 1.23 Deploy Metric Insights on Microsoft Azure Virtual Machine
- 1.24 Uploading Metric Insights Docker Images to a Private Registry
- 1.25 Installing and configuring MySQL 8
- 1.26 Creating test environments based on Production
- 1.27 Install or Update MI via Installation Packages (for MI v6.x)
- 1.28 Maintaining Security Updates for Docker Images
- 1.29 Accessing and Using the Monitoring Service UI
- 1.30 Deploy Metric Insights on OpenShift 4
- 1.31 Generate the Deployment Files by the Installation Wizard
- 1.32 Deploy Metric Insights in AWS Marketplace
- 1.33 Deploying a Disaster Recovery Environment
- 1.34 Mount Windows Shared Folder on AWS EKS
- 1.35 Configure Redis for Caching
- 1.36 Configure AWS Private Link Connection
- 1.37 MySQL Deployment in Azure
- 1.38 MySQL Deployment in AWS with RDS
- 1.39 MI Application Deployment on Google Cloud Kubernetes Engine (GKE)