Vengala Vinay

Having 12+ Years of Experience in Software Development

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DevOps & Cloud Scaling

Server Monitoring Best Practices: Keeping Your Shopify App and MySQL Clusters Alive on Google Cloud

Proactive MySQL Cluster Health Checks with `pt-heartbeat` Maintaining the health and replication lag of MySQL clusters, especially those powering critical Shopify applications, demands more than just basic CPU/memory monitoring. For high-availability setups, particularly with replication, understanding replication lag is paramount. The Percona Toolkit’s `pt-heartbeat` is an indispensable tool for this. It writes a timestamp to […]

Server Monitoring Best Practices: Keeping Your C App and PostgreSQL Clusters Alive on AWS

Proactive C Application Health Checks on EC2 Maintaining the health of a C application running on EC2 instances requires more than just basic CPU and memory monitoring. For critical applications, we need to implement application-level health checks that can be queried by external monitoring systems. This involves exposing an HTTP endpoint within the C application […]

Infrastructure as Code: Provisioning Secure Perl Clusters on AWS Using Terraform

Terraform Fundamentals for Perl Cluster Deployment Provisioning robust and secure infrastructure for Perl applications on AWS requires a systematic approach. Infrastructure as Code (IaC) with Terraform offers a declarative, version-controlled, and repeatable method to manage this complexity. This post details a practical Terraform setup for deploying a scalable and secure Perl cluster, focusing on core […]

Disaster Recovery 101: Architecting Auto-Failovers for PostgreSQL and C Deployments on AWS

Automated PostgreSQL Failover with AWS RDS and Application-Level Resilience Achieving true high availability for critical PostgreSQL deployments on AWS necessitates more than just leveraging managed services like RDS. While RDS Multi-AZ provides synchronous replication and automatic failover for the database instance itself, the application layer must be architected to gracefully handle these transitions and maintain […]

Disaster Recovery 101: Architecting Auto-Failovers for Redis and C++ Deployments on Linode

Establishing a High-Availability Redis Cluster with Sentinel For critical applications relying on Redis, a single instance is a single point of failure. Implementing Redis Sentinel provides automatic failover capabilities, ensuring minimal downtime. This section details the setup of a basic Sentinel-managed Redis cluster on Linode. We’ll deploy three Redis instances for redundancy and one Sentinel […]

Disaster Recovery 101: Architecting Auto-Failovers for MySQL and Magento 2 Deployments on Google Cloud

Leveraging Google Cloud SQL for High Availability MySQL For mission-critical Magento 2 deployments, a robust disaster recovery strategy hinges on a highly available MySQL database. Google Cloud SQL offers a managed solution that significantly simplifies achieving this. The key to auto-failover lies in understanding and configuring Cloud SQL’s High Availability (HA) instances. A Cloud SQL […]

Server Monitoring Best Practices: Keeping Your Perl App and MongoDB Clusters Alive on OVH

Proactive MongoDB Cluster Health Checks with Perl Scripts Maintaining the health of a MongoDB cluster, especially when supporting critical Perl applications, requires more than just basic uptime checks. We need to delve into performance metrics, replication lag, and resource utilization. A robust monitoring strategy involves custom scripting to gather granular data that standard tools might […]

Automating Multi-Region Redundancy for Ruby Architectures on OVH

Establishing Multi-Region Redundancy with OVHcloud: A Deep Dive for Ruby Architectures Achieving robust disaster recovery for critical Ruby applications necessitates a multi-region strategy. This post outlines a practical, production-grade approach leveraging OVHcloud’s infrastructure, focusing on automated failover and data synchronization for a typical Rails application stack. We’ll cover database replication, application server deployment, and load […]

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