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Testimonials
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.
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.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
We were impressed with their commitment to the project.
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.
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.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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.
They have been great at adjusting and improving as we have worked together.
Nguyen is a champ. He's fast and has great communication. Well done!
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?
AWS (Amazon Web Services), developed and operated by Amazon, is a comprehensive public cloud platform used to build, deploy, and operate applications and data systems using on-demand infrastructure and managed services. It provides core capabilities such as compute (e.g., EC2, Lambda), storage (e.g., S3, EBS), databases (e.g., RDS, DynamoDB), networking (e.g., VPC, CloudFront), identity and access management (IAM), observability (CloudWatch), and security services, with global regions and availability zones designed for resilience and low-latency delivery. Common use cases include hosting web and mobile backends, container and Kubernetes platforms (ECS/EKS), data lakes and analytics pipelines, disaster recovery, and scalable machine learning workloads. For an overview of services and best practices, see AWS.
The cloud is a general term used to describe resources such as computing and storage that are provided as services managed by the cloud provider. Nowadays cloud providers offer a wide variety of services: Databases, Orchestration tools, Messaging queues, etc.
Running and maintaining a physical data center requires significant time and effort, with limited resources compared to the extensive options offered by various Cloud providers. In certain situations, managing physical infrastructure cannot be avoided due to security or budget constraints. Nonetheless, the diverse array of top-notch services provided by cloud providers, along with their seamless integrations and user-friendly interfaces, make them an excellent option for developing software applications.
AWS is a public cloud platform with on-demand infrastructure and managed services used to build, run, and scale applications with less data center overhead. It is commonly adopted to improve reliability, security posture, and delivery speed while keeping capacity flexible.
- Broad service coverage across compute, storage, networking, databases, and analytics, enabling diverse workloads on a single platform.
- Elastic scaling using Auto Scaling and managed load balancing to handle variable demand without persistent overprovisioning.
- High availability patterns with multi-AZ architectures and managed services designed for fault tolerance.
- Disaster recovery options using multi-region designs, backups, and replication to meet continuity and RTO/RPO requirements.
- Strong identity and access controls with IAM, Organizations, and SCPs to enforce least privilege and account guardrails.
- Infrastructure as code support via CloudFormation and AWS CDK for repeatable environments, reviewable changes, and safer rollouts.
- Managed container and serverless runtimes such as EKS, ECS, and Lambda to reduce operational overhead for modern architectures.
- Integrated observability and audit tooling with CloudWatch, X-Ray, and CloudTrail for metrics, tracing, and compliance evidence.
- Security services including KMS, Secrets Manager, WAF, and Shield to support encryption, secret rotation, and edge protection.
- Cost governance features like Cost Explorer, Budgets, and Savings Plans to track spend and optimize long-running workloads.
- Mature networking primitives including VPC, Transit Gateway, and PrivateLink for segmentation, hub-and-spoke connectivity, and private service access.
AWS is a strong fit for teams that need global reach and a deep catalog of managed services, but environment complexity can grow quickly without a clear landing zone, tagging standards, and automated policy enforcement. Cost control typically requires deliberate account structure and continuous rightsizing and commitment management.
Common alternatives include Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI). For deeper service details and reference architectures, see AWS Documentation.
Our experience with AWS helped us build repeatable delivery patterns, automation, and operational checklists that we use to stabilize and scale client platforms while keeping costs under control. Across new builds and legacy migrations, we implemented AWS best-practices in networking, security, observability, and release engineering to make production operations predictable.
Some of the things we did include:
- Designed multi-account AWS landing zones with Organizations, IAM, SCPs, and audited access patterns for production-grade governance.
- Implemented Infrastructure as Code for VPCs, subnets, routing, security groups, and core services using Terraform and Git-based CI/CD pipelines.
- Built container platforms on EKS and integrated workloads with Kubernetes deployment workflows, autoscaling, and node lifecycle management.
- Modernized application delivery using blue/green and canary releases with CodePipeline/CodeBuild and GitHub Actions, including artifact promotion and rollback automation.
- Improved observability by standardizing CloudWatch metrics/logs, distributed tracing, and alerting, and integrating with Prometheus where it fit the operational model.
- Hardened security with least-privilege IAM, KMS encryption, Secrets Manager, WAF protections, and continuous compliance checks against baseline controls.
- Implemented HA/DR patterns using multi-AZ architectures, backup automation, and cross-region replication where RTO/RPO requirements demanded it.
- Optimized cost and performance through right-sizing, Savings Plans/Reserved Instances, storage tiering, and load testing with clear cost attribution per environment.
- Delivered data pipelines and analytics foundations on AWS (S3, Glue, Athena, Redshift) and integrated with Apache Airflow for orchestrated batch workloads.
- Supported teams with runbooks, incident response drills, and structured knowledge transfer aligned with the AWS Well-Architected Framework.
This experience helped us accumulate significant knowledge across multiple AWS use-cases—from greenfield platforms to complex migrations—and enables us to deliver high-quality AWS setups that are secure, observable, and maintainable in day-to-day operations.
Some of the things we can help you do with AWS include:
- Run an AWS environment assessment and deliver a prioritized findings report covering reliability, security, and cost risks.
- Create an AWS adoption roadmap and landing zone plan aligned to your org structure, workloads, and compliance needs.
- Implement infrastructure as code (IaC) with Terraform to standardize provisioning, reduce drift, and speed up delivery.
- Design and deploy secure network and identity foundations (VPC, IAM, KMS) with guardrails and least-privilege access.
- Modernize deployment workflows with CI/CD automation and repeatable release patterns for safer, faster changes.
- Establish observability (metrics, logs, traces) and incident-ready runbooks to improve detection and recovery times.
- Optimize performance and cost using right-sizing, autoscaling, and FinOps practices to control spend without sacrificing reliability.
- Harden security posture with logging, monitoring, and policy enforcement aligned to AWS best practices and audit expectations.
- Support migrations and workload refactors to AWS managed services to improve scalability and reduce operational overhead.
- Enable your team with hands-on training, documentation, and operational checklists to sustain improvements long term.
