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Testimonials
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
They have been great at adjusting and improving as we have worked together.
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
Nguyen is a champ. He's fast and has great communication. Well done!
We were impressed with their commitment to the project.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
I was impressed with the amount of professionalism, communication, and speed of delivery.
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
They are very knowledgeable in their area of expertise.
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
Amazon Web Services (AWS) Relational Database Service (RDS) is a fully managed database service that simplifies the setup, operation, and scaling of relational databases in the cloud. It is designed to help businesses streamline database management, enabling them to focus more on developing applications and analyzing data. AWS RDS supports a variety of database instances including MySQL, PostgreSQL, Microsoft SQL Server, Oracle, and MariaDB, which provides a broad spectrum of options for database hosting in a cloud environment.
A computer database is an organized collection of data that can be manipulated and accessed through specialized software
The use of databases integration into any software development project out there is crucial, consisting of many useful benefits:
- Databases provide efficient means for searching, sorting and retrieving specific information.
- They help maintaining data integrity and consistency through the use of constraints and data validation.
- Centralized storage allows multiple users to access and update the data simultaneously.
- Data availability is ensured through backup and recovery options.
- Access controls and permission settings can be used to secure the data.
- They facilitate sharing of data among multiple applications and systems, improving interoperability.
- Data integration with other systems is made easier, enhancing data analysis and reporting.
- Automated updating and maintenance improves data accuracy and reduces errors.
- They can handle large amount of data and increasing number of users by scaling.
Advantages of AWS RDS include:
- Simplified Database Management: Automates time-consuming administrative tasks such as hardware provisioning, software patching, and backups.
- Scalable Performance: Allows easy scaling of database compute and storage resources with virtually no downtime.
- High Availability: Offers Multi-AZ deployments and Read Replicas to enhance database availability, reliability, and read scalability.
- Automated Backups and Software Patching: Ensures data safety with automated backups, database snapshots, and keeps the system up-to-date with automated software patching.
- Wide Database Engine Compatibility: Supports multiple database engines including MySQL, PostgreSQL, Microsoft SQL Server, Oracle, and MariaDB.
- Cost-Effectiveness: Provides a cost-effective service to run, manage, and scale relational databases in the cloud, helping businesses to reduce operational overhead.
Our experience with AWS RDS helped us build repeatable patterns, automation, and operational runbooks that make relational databases easier to run safely at scale for client workloads.
Some of the things we did include:
- Migrated production databases from self-managed MySQL/PostgreSQL to AWS RDS with staged cutovers, validation queries, and rollback plans to reduce downtime risk.
- Implemented high availability using Multi-AZ deployments, tuned failover behavior, and validated recovery procedures with game-day style testing.
- Designed disaster recovery strategies with cross-region read replicas and snapshot-based restores, including RPO/RTO targets and periodic restore drills.
- Automated provisioning and configuration with Infrastructure as Code, standardizing parameter groups, option groups, and network controls across environments.
- Integrated AWS RDS with AWS CloudWatch for metrics/alarms and log exports, improving incident response and capacity planning.
- Set up secure connectivity patterns (VPC/subnet design, security groups, private access) and enforced encryption in transit/at rest with key management practices.
- Implemented backup retention, snapshot lifecycle policies, and point-in-time recovery workflows aligned with compliance and operational requirements.
- Optimized performance through query analysis, index improvements, parameter tuning, and right-sizing instances and storage to match workload patterns.
- Built CI/CD-friendly database change workflows (migrations, schema versioning, promotion between environments) integrated with GitHub Actions.
- Hardened access with least-privilege IAM patterns, credential rotation, and auditing, including integration with AWS Secrets Manager for secret storage.
This experience helped us accumulate significant knowledge across migrations, HA/DR, security, observability, and cost/performance tuning, enabling us to deliver high-quality AWS RDS setups that are stable, maintainable, and easy to operate for clients.
Some of the things we can help you do with AWS RDS include:
- Assess your current database estate and produce an AWS RDS readiness review with risks, recommendations, and a prioritized remediation report.
- Create an adoption roadmap that covers engine selection, migration approach, high availability, and operational ownership for AWS RDS.
- Design and deploy AWS RDS environments using infrastructure as code (IaC) and repeatable patterns for VPC networking, parameter groups, and backups.
- Migrate databases to AWS RDS with minimal downtime using proven cutover plans, validation checks, and rollback procedures.
- Implement security and compliance guardrails including encryption, IAM access controls, secrets management, and auditable change workflows.
- Configure reliability features such as Multi-AZ, automated backups, point-in-time recovery, and disaster recovery runbooks.
- Set up observability for AWS RDS—metrics, logs, alerting, and SLO-based monitoring—integrated into your on-call and incident response process.
- Optimize cost and performance through right-sizing, storage and IOPS tuning, query and index reviews, and lifecycle policies for non-production environments.
- Enable safe delivery with CI/CD and GitOps-style workflows for database changes, versioned configuration, and controlled maintenance windows.
- Train your teams on day-2 operations for AWS RDS, including troubleshooting, patching strategies, and operational runbooks for stable database operations.
