Case Study

Zabbix Implementationt

Client:

Clearsense LLC and Enhanced Resource Centers (ERC)

Objective:

Configure the monitoring and alerting process to align with industry best practices,
enhancing system visibility, automating incident detection, and improving overall operational
efficiency.

Monitoring Entities Classifications

Servers-543, Networking devices-27, URLS-32, Databases- (MySQL, PostgreSQL), Webservers (Apache, Nginx), Kubernetes cluster, Redis servers etc .

Implemented Monitoring and Alerting process using Zabbix:

  • Zabbix reports the issues in the environment through Email and Team channel.
  • Auto-remediation has been configured for identified issues (Service restarts, Container issues) in the environment.
  • Dashboards are created to enhance the visualization of performance metrics and problems reported.
    Created a severity metrics for monitoring items across the environment and revamp the monitoring policy.
  • Integrated PagerDuty with the monitoring system and enabled more sophisticated alerting capabilities.
    Improved the top 10 frequently occurring issues with the auto-remediation process to reduce human intervention for L1 issues.
  • Implemented Zabbix monitoring in AWS (Work effort can be carried over to cloud and additional cost saving with free licencing of Zabbix).

BENEFITS:

Cost Savings: By automating the detection and resolution of L1 issues, we can reduce the need for manual intervention, which can save time and resources. This can be especially beneficial for organizations with limited IT staff or those looking to optimize their operations.
Improved Efficiency: Automating the resolution of L1 issues can also improve the efficiency of your IT operations. It frees up your team to focus on more complex tasks and reduces the time spent on repetitive troubleshooting.
Enhanced Reliability: By quickly addressing L1 issues, you can improve the overall reliability of your systems and services. This can lead to fewer disruptions for your users and improved satisfaction.

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