REEDOS SOFTWARE - AWS DevOps & Migration

Reedos Software helps data-driven enterprises build a modern AWS DevOps foundation and migrate workloads to the cloud with engineering discipline, delivery structure, and production-ready outcomes.

From automating Amazon EC2 infrastructure provisioning and optimizing Amazon RDS database operations, to implementing automated CI/CD delivery pipelines, executing structured cloud migrations, and establishing DevOps standards that bring consistency and repeatability to enterprise release cycles — Reedos Software delivers practical, scalable, and cost-efficient AWS DevOps and migration outcomes that data engineering and CDO teams can operate confidently from day one.

Whether you are starting your DevOps journey, modernizing fragmented pipelines, or migrating on-premises workloads to AWS, Reedos Software brings the delivery structure and technical depth to get measurable results without the complexity of managing multiple cloud vendors.

• Infrastructure provisioned manually across EC2 and RDS environments causing configuration drift, environment inconsistency, slow onboarding cycles, and operational overhead for data engineering teams
• No standardized CI/CD pipeline strategy resulting in unpredictable releases, failed deployments, extended mean time to recovery, and engineering teams spending more time firefighting than delivering value
• On-premises workloads with no structured migration roadmap to AWS EC2 and RDS — blocking cloud adoption, creating continued infrastructure cost burden, and delaying the data engineering modernization roadmap
• Amazon RDS databases operated without automated backup schedules, performance baselines, multi-AZ configuration, or rightsizing strategies — driving unnecessary cost and creating reliability risk for CDO-managed data assets
• No DevOps culture, tooling, or governance framework in place — leaving enterprise engineering teams without the standardized branching strategies, environment promotion workflows, and release governance required for enterprise-grade AWS delivery

We automate Amazon EC2 infrastructure provisioning using infrastructure-as-code practices — creating repeatable, version-controlled, and drift-free environments across dev, staging, and production that eliminate manual configuration, standardize environment delivery, and accelerate data engineering team onboarding across enterprise AWS environments.

We design and implement automated end-to-end delivery pipelines integrating source control, build automation, automated testing, and deployment stages — enabling data engineering and CDO teams to ship code faster with consistent, traceable, and reliable releases across all AWS environments without manual intervention.

We plan and execute structured wave-based migrations from on-premises or legacy hosting environments to Amazon EC2 and RDS — covering dependency mapping, risk-ranked wave sequencing, database schema conversion, data validation, replication testing, validated cutovers, and zero-disruption go-live planning tailored for enterprise data workloads and CDO-managed database assets.

We configure, tune, and automate Amazon RDS database operations — covering multi-AZ setup, automated backups, parameter group optimization, performance baselines, connection management, query optimization, and rightsizing to reduce cost, improve reliability, and ensure enterprise data assets are protected and performant for data engineering teams.

We establish enterprise DevOps standards and governance frameworks — covering branching strategies, environment promotion workflows, release approval processes, infrastructure tagging standards, cost allocation governance, and deployment documentation that bring engineering discipline and audit-readiness to your entire AWS delivery lifecycle.

We implement operational monitoring across EC2 and RDS — configuring performance dashboards, metric alarms, cost alerts, log aggregation, and automated notifications to give data engineering and CDO teams the proactive visibility needed to detect issues, control costs, and maintain enterprise-grade AWS operational health.