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Having 12+ Years of Experience in Software Development

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Home » DevOps & Cloud Scaling » Page 28

DevOps & Cloud Scaling

Disaster Recovery 101: Architecting Auto-Failovers for PostgreSQL and Laravel Deployments on DigitalOcean

Leveraging PostgreSQL Streaming Replication for High Availability Achieving automated failover for a PostgreSQL database is paramount for any production-grade application. The cornerstone of this strategy is PostgreSQL’s built-in streaming replication. We’ll configure a primary and at least one replica, ensuring data consistency and enabling a swift switchover in case of primary failure. Our setup will […]

Server Monitoring Best Practices: Keeping Your Ruby App and DynamoDB Clusters Alive on OVH

Proactive Health Checks for Ruby Applications on OVH Maintaining the health of a Ruby application deployed on OVH infrastructure requires a multi-layered monitoring strategy. Beyond basic uptime checks, we need to delve into application-specific metrics and resource utilization. This section focuses on implementing robust health checks that go beyond simple HTTP 200 responses. A common […]

Disaster Recovery 101: Architecting Auto-Failovers for Redis and Perl Deployments on OVH

Redis Sentinel for High Availability Achieving automated failover for Redis deployments hinges on leveraging Redis Sentinel. Sentinel is a distributed system that provides high availability for Redis. It monitors Redis instances, detects failures, and can initiate automatic failover by promoting a replica to a master. For this architecture, we’ll assume a primary Redis instance and […]

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

Automated PostgreSQL Failover with AWS RDS and Aurora Achieving true high availability for critical PostgreSQL databases on AWS necessitates an automated failover strategy. While AWS Relational Database Service (RDS) offers Multi-AZ deployments for automatic failover, understanding its mechanics and how to leverage it effectively is paramount. For more advanced scenarios, particularly those requiring global distribution […]

Server Monitoring Best Practices: Keeping Your Perl App and Redis Clusters Alive on DigitalOcean

Proactive Redis Cluster Health Checks with `redis-cli` and Custom Scripts Maintaining the health and availability of Redis clusters, especially in a distributed setup on DigitalOcean, requires more than just basic CPU and memory monitoring. For Perl applications relying on Redis for caching or session management, even brief cluster unavailability can cascade into application errors. We’ll […]

Server Monitoring Best Practices: Keeping Your Ruby App and MySQL Clusters Alive on Linode

Proactive MySQL Cluster Health Checks with `pt-heartbeat` Maintaining the health and replication status of MySQL clusters, especially in a distributed environment like Linode, is paramount. Manual checks are error-prone and time-consuming. The Percona Toolkit offers a robust solution with `pt-heartbeat`, a tool designed to monitor replication lag by writing timestamps to a dedicated table and […]

Disaster Recovery 101: Architecting Auto-Failovers for Redis and Python Deployments on OVH

Redis Sentinel for High Availability Achieving automated failover for Redis hinges on implementing a robust high-availability strategy. Redis Sentinel is the de facto standard for this, providing monitoring, notification, and automatic failover for Redis instances. We’ll focus on a multi-datacenter deployment scenario on OVH, assuming you have at least three Redis instances (one master, two […]

Building a High-Availability, Cost-Optimized Ruby Stack on Google Cloud

Leveraging Google Cloud’s Managed Services for a Resilient Ruby Stack Building a high-availability (HA) and cost-optimized Ruby application stack on Google Cloud Platform (GCP) necessitates a strategic approach to service selection and configuration. This document outlines a production-ready architecture focusing on managed services to minimize operational overhead and maximize resilience, all while keeping a keen […]

Server Monitoring Best Practices: Keeping Your WordPress App and Redis Clusters Alive on Google Cloud

Proactive WordPress & Redis Monitoring on Google Cloud Maintaining the health and performance of a production WordPress application, especially when coupled with a Redis cluster for caching and session management, demands a robust and proactive monitoring strategy. On Google Cloud Platform (GCP), this translates to leveraging a combination of native GCP services and specialized tools. […]

Server Monitoring Best Practices: Keeping Your Magento 2 App and Redis Clusters Alive on Linode

Proactive Health Checks for Magento 2 and Redis on Linode Maintaining a high-availability Magento 2 deployment on Linode, especially with a Redis cluster for caching and session management, demands a robust and proactive monitoring strategy. This isn’t about reacting to alerts; it’s about building a system that anticipates issues before they impact end-users. We’ll focus […]

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A little about the Author

Having 12+ Years of Experience in Software Development, Vinay is a principal software architect, senior systems engineer, and elite technical consultant. He specializes in bespoke PHP/WordPress development, high-performance Magento 2 & Shopify architectures, custom plugin/theme development from scratch, and legacy code modernization (including VB6, VB.NET, PyQt, and Crystal Reports). Known for solving complex database bottlenecks, speed optimization (Core Web Vitals), and advanced security code auditing, Vinay engineers production-ready systems designed to scale under heavy concurrent load conditions.



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Recent Posts

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