Microsoft Azure Redis Cache is a scalable service that provides Redis Cache capabilities to applications running in the Azure Cloud.
This step-by-step guide explains how to setup and monitor Azure Redis Cache using CloudMonix.
In this article
1. Monitoring setup
2. Collect, understand and use your data
2.1 Metrics
2.2 Alerts
2.3 Actions
3. Setup verification and troubleshooting
Did you know?
CloudMonix extends native Azure Redis Cache monitoring with advanced metrics and features. Noteworthy:
- CloudMonix connects to Azure Redis Cache directly from within own cloud premise thru user-defined IP address and port which need to be white-listed as described in this article
- CloudMonix receives data from the Azure Insights API and by directly querying databases
- pre-configured metrics: connected clients, evicted keys in 5 minutes, gets in 5 minutes, hits rate, INFO command results, cache key list, management operations, recommended actions, server load, sets in 5 minutes, slave servers, resource status, total operations in 5 minutes, used memory
- alerts on high server load, too many connected clients and resource outages
- ability to run a LUA script on a Redis Cache resource database based on conditions or schedule
Setup
a. Run the Setup Wizard in the portal (preferred way):
This article explains how to add resources to CloudMonix via the Setup Wizard.
b. Firewall configuration:
CloudMonix monitoring services are hosted in Azure and use static IP addresses to perform monitoring. In certain circumstances user-defined firewall rules may prevent CloudMonix from accessing the monitored resources. Given this scenario, it is necessary to white-list CloudMonix IP addresses as described in this article.
c. Tweak settings in the Definition tab (optional):
Definition tab for an existing resource can be accessed by clicking the resource's monitoring settings in the performance dashboard:
Definition tab provides optional settings for the resource name, Azure resource management token, Azure resource group, Azure resource name, configuration template and categories:
Best Practices
Configuration Template setting provides pre-defined configuration templates available in CloudMonix by default as well as previously stored custom templates. See predefined templates for Azure Redis Cache for reference.
d. Manual setup (optional instead of the Setup Wizard route):
Click the Add New button in the top right corner of your dashboard:
Fill in required information in the Definition tab as described in the previous step.
e. Advanced configuration:
Advanced configuration tab provides additional monitoring settings, which are already set as default for most use-cases.
Collect, understand and use your data
Specific Metrics, Templates, Alerts and Automation Actions for Azure Redis Cache:
a. Metrics:
Diagnostic data points retrieved from the monitored resource are referred to as metrics . CloudMonix provides default templates for the metrics recommended for common configurations. Metrics can be further added, removed or customized in the Metrics tab of the Azure Redis Cache resource configuration dialog:
b. Alerts:
CloudMonix features a sophisticated alert engine that allows alerts to be published for very particular conditions pre-defined by a template configuration or custom based on any of the available metrics. Alerts can be further added, removed or customized in the Alerts tab of the Azure Redis Cache resource configuration dialog:
c. Actions:
Actions are automation features that can be configured to fire based on specific conditions or schedule. Actions can be added and configured in the Actions tab of the Azure Redis Cache resource configuration dialog:
Available actions include the ability to run a LUA script on a Redis Cache resource database based on conditions or schedule.
Setup verification and troubleshooting
a. Setup verification:
Successful resource setup can be verified by clicking Test button in the resource configuration dialog and visiting the Test Results tab:
b. Troubleshooting monitoring issues:
CloudMonix provides deep insights into resource monitoring issues via the Status Dashboard screen. The screen allows to overview resources that have raised alerts and troubleshoot them by diving into the monitoring logs.
Read the full article on how to use Status Dashboard to diagnose resource monitoring issues.