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Ansible-Powered Database Automation: MySQL and MongoDB

Ansible-Powered Database Automation: MySQL and MongoDB

by Karthickraja durairaj | Sep 29, 2026 | Automation, Databases

Introduction As database environments grow, database teams spend more time performing repetitive operational tasks such as checking services, validating connectivity, collecting diagnostics, managing configurations, and verifying system health. When these tasks are...
AWS Managed Prometheus and Grafana: Building a Scalable Observability Stack

AWS Managed Prometheus and Grafana: Building a Scalable Observability Stack

by Karthickraja durairaj | Sep 15, 2026 | Automation, General

Introduction: Modern applications are becoming increasingly distributed. A single production application may consist of dozens or even hundreds of containers, Kubernetes workloads, microservices, databases, APIs, queues, and cloud services. CPU and memory dashboards...
PMM Query Analytics for MySQL and MongoDB Performance Optimization

PMM Query Analytics for MySQL and MongoDB Performance Optimization

by Karthickraja durairaj | Aug 11, 2026 | Automation, General

Introduction Modern applications generate thousands or even millions of database queries every day. While infrastructure metrics such as CPU utilization, memory consumption, disk I/O, and network throughput provide valuable insights into server health, they rarely...
Everything You Need to Know About ClickHouse in PMM

Everything You Need to Know About ClickHouse in PMM

by Karthickraja durairaj | Jul 7, 2026 | Automation, Databases

Introduction When administrators install Percona Monitoring and Management (PMM), they usually focus on the dashboards. Beautiful Grafana panels. Historical metrics. Query Analytics (QAN). Performance insights. However, behind those dashboards is a database that...
The Ultimate Guide to Predictive Monitoring with Nagios Core

The Ultimate Guide to Predictive Monitoring with Nagios Core

by Karthickraja durairaj | Jun 2, 2026 | Automation, General

Introduction Modern IT environments are more complex than ever. Organizations rely on servers, databases, applications, and cloud services that must remain available around the clock. Traditional monitoring tools can detect failures and generate alerts, but they often...
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Latest to read

  • Ansible-Powered Database Automation: MySQL and MongoDB
  • MongoDB Replication Lag Is Rising: Is Your Oplog Window Shrinking?
  • AWS Managed Prometheus and Grafana: Building a Scalable Observability Stack
  • Amazon RDS vs Self-Managed Databases: What Changes for a DBA?
  • PostgreSQL Extensions in Action

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