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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?
Testimonials
They have been great at adjusting and improving as we have worked together.
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.
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.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
Nguyen is a champ. He's fast and has great communication. Well done!
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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 are very knowledgeable in their area of expertise.
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.
Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service offered by Amazon Web Services (AWS) that simplifies the deployment, management, and scaling of containerized applications using Kubernetes. By seamlessly integrating with AWS's vast infrastructure and services, EKS abstracts away the complexities of node provisioning, patching, and updates. This ensures developers and DevOps teams can concentrate on application development without the overhead of cluster management. With EKS, businesses benefit from the robustness and scalability of Kubernetes, coupled with the security, reliability, and performance standards of AWS, making it an ideal choice for those looking to run Kubernetes workloads in the cloud.
Orchestration systems decide where and when workloads run on a cluster of machines (physical or virtual). On top of that, orchestration systems usually help manage the lifecycle of the workloads running on them. Nowadays, these systems are usually used to orchestrate containers, with the most popular one being Kubernetes.
There are many advantages to using Orchestration tools:
- Improve the utilization of CPU, memory, and storage usage by running many processes on a single machine
- Manage the entire lifecycle of the orchestrated workloads: pre & post initialization & termination
- Control the scale of workloads and the scale of their underlying infrastructure separately
- Centralized management of workloads and infrastructure
- Fully Managed: AWS EKS automatically manages the Kubernetes control plane, taking care of the heavy lifting involved in setting up, operating, and maintaining Kubernetes.
- Integrated Developer Tools: EKS integrates seamlessly with AWS App Mesh and other AWS services, providing a consistent set of developer tools for building, deploying, and managing applications.
- Security and Compliance: AWS EKS is deeply integrated with AWS security features, providing robust security and compliance solutions for your Kubernetes environments.
- High Availability: EKS runs the Kubernetes control plane across multiple AWS availability zones, ensuring high availability and eliminating a single point of failure.
- Scalability: EKS allows for easy scaling of applications, making it a great choice for both small startups and large enterprises.
- Monitoring and Logging: Integrated with AWS CloudWatch and AWS CloudTrail, providing powerful monitoring and logging capabilities right out of the box.
- Cross-Account Cluster Sharing: You can share an EKS cluster across AWS accounts, improving resource utilization and reducing costs.
- Support for ECS Anywhere: EKS supports ECS Anywhere, allowing you to run your containers in your own data centers, at the edge, or in other cloud providers.
- Broad Ecosystem: EKS is supported by a broad ecosystem of Kubernetes tools and plugins, providing flexibility and numerous options for managing your containerized applications.
- Continuous Delivery: EKS supports continuous delivery and integration for a more agile development process, ensuring faster delivery of features and more stable operating environments.
Our experience with AWS EKS has allowed us to accumulate the knowledge, tools, plans, and processes that enable achieving high quality setups quickly.
Some of the things we did include:
- Provisioned environment with multiple EKS clusters using Terraform, Terragrunt, and Pulumi
- Structured and automated the deployment process using Helm and ArgoCD
- Improved cluster utilization using cluster-autoscaler
- Integrated AWS Secrets Manager with the EKS cluster's secrets using the external-secrets Operator
- Automated the creation of DNS records for services using Route53 and the external-dns Operator
- Managed access between Kubernetes workloads and AWS resources using AWS IAM and the aws-iam-controller Operator
- Monitored the clusters using AWS Cloudwatch, Prometheus, Grafana, and other tools
- Analyzed cluster utilization using KubeCost
