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Testimonials
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
We were impressed with their commitment to the project.
They have been great at adjusting and improving as we have worked together.
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.
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 are very knowledgeable in their area of expertise.
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.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
I was impressed with the amount of professionalism, communication, and speed of delivery.
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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?
Azure Kubernetes Service (AKS) is a managed Kubernetes offering on Microsoft Azure used to run, scale, and operate containerized applications with reduced cluster administration. It is commonly adopted by DevOps and platform engineering teams to standardize application delivery for microservices, APIs, and background workloads across development, staging, and production environments.
AKS typically integrates with Azure networking, identity, and CI/CD or GitOps workflows, and is often managed through infrastructure-as-code to keep clusters consistent across regions and subscriptions. See also MeteorOps’ Technologies overview for related platform tools.
- Managed control plane with support for Kubernetes version upgrades
- Autoscaling for nodes and workloads to match changing demand
- Integration with Azure AD, policies, and role-based access control
- Support for private clusters, ingress, and service-to-service networking
- Observability via logs, metrics, and alerts across namespaces and clusters
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
Azure Kubernetes Service (AKS) is a managed Kubernetes platform on Microsoft Azure used to run and scale containerized applications while reducing the operational overhead of operating the Kubernetes control plane. It is commonly adopted to standardize deployment, security, and platform operations for microservices and internal developer platforms that integrate tightly with Azure identity, networking, and governance.
- Managed control plane reduces the burden of operating etcd, API server availability, and core Kubernetes components while preserving upstream Kubernetes APIs and tooling.
- Integrated cluster lifecycle features support consistent upgrades and patching strategies across environments through node image management and coordinated version planning.
- Node pools enable workload separation by VM type, scaling profile, and security boundary, supporting heterogeneous clusters with targeted capacity management.
- Kubernetes autoscaling options, including Cluster Autoscaler and Horizontal Pod Autoscaler, help match compute to demand and improve cost efficiency for variable workloads.
- Azure networking integration supports private clusters, custom VNets, and controlled ingress and egress patterns for enterprise and regulated deployments.
- Microsoft Entra ID integration with Kubernetes RBAC centralizes authentication and authorization for cluster access and aligns with existing enterprise identity controls.
- Workload Identity and Azure Key Vault integration reduce reliance on long-lived credentials and improve secret management for in-cluster applications.
- Policy and governance capabilities such as Azure Policy for Kubernetes help enforce baseline security and configuration controls across many clusters.
- Observability integrations with Azure Monitor and Container Insights support log and metric collection, troubleshooting workflows, and SLO reporting.
- Support for both Linux and Windows node pools enables mixed workloads when Windows-based container services are required alongside Linux services.
AKS is a strong fit when Kubernetes is the desired abstraction layer and the organization is standardizing on Azure services for identity, networking, and security. Trade-offs include Kubernetes complexity, non-trivial ingress and networking design choices, and the need for disciplined version, add-on, and cluster lifecycle management as usage scales.
Common alternatives include Amazon EKS, Google GKE, and self-managed Kubernetes. For Kubernetes fundamentals, see Kubernetes concepts documentation.
Our experience with Azure Kubernetes Service (AKS) helped us build repeatable delivery patterns, automation, and operational playbooks that we use to design, implement, and run secure Kubernetes platforms on Azure for client teams.
Some of the things we did include:
- Designed AKS landing-zone architectures with hub/spoke networking, private clusters, and controlled egress to meet enterprise security and compliance requirements.
- Provisioned AKS clusters and supporting Azure resources using infrastructure as code, standardizing node pools, autoscaling, and version management across dev/test/prod environments.
- Implemented GitOps workflows for AKS with Argo CD, including environment promotion, policy gates, and safe rollbacks.
- Built CI/CD pipelines for container build, scan, and deployment with GitHub Actions, integrating artifact promotion and release governance.
- Hardened clusters and workloads with RBAC, workload identity, namespace isolation, network policies, secrets management, and image signing/verification aligned to supply-chain security practices.
- Integrated observability using Prometheus metrics, structured application logging, and actionable alerting tied to SLOs and on-call runbooks.
- Implemented ingress and traffic management patterns (internal/external), TLS automation, and canary/blue-green deployments to reduce release risk.
- Optimized cost and performance by right-sizing requests/limits, tuning cluster and HPA autoscalers, separating workloads into dedicated node pools, and reducing noisy-neighbor impact.
- Established backup, restore, and disaster recovery approaches for stateful services, including runbooks and regular recovery testing to validate RTO/RPO targets.
- Supported platform teams with operational training, upgrade planning, incident response workflows, and documentation to improve day-2 reliability and upgrade confidence.
This experience helped us accumulate significant knowledge across multiple AKS use-cases—from greenfield platform builds to modernization and operational stabilization—and enables us to deliver high-quality Azure Kubernetes Service (AKS) setups that are secure, scalable, and maintainable.
Some of the things we can help you do with Azure Kubernetes Service (AKS) include:
- Assess your current AKS/Kubernetes platform and deliver a prioritized report covering reliability, security, scalability, and operability gaps.
- Define an AKS adoption roadmap, including Azure landing zone prerequisites, environment strategy (dev/test/prod), and migration waves.
- Design and implement production-ready AKS clusters with repeatable Infrastructure as Code (Terraform/Bicep), covering networking, identity, node pools, and ingress patterns.
- Standardize application delivery with CI/CD and GitOps workflows (including Argo CD) to improve release safety and deployment consistency.
- Implement security and compliance guardrails with Azure AD/RBAC, network policies, secrets management, image scanning, and policy-as-code for controlled multi-team usage.
- Establish SRE-ready observability and operations—metrics, logs, tracing, alerting, dashboards, and runbooks—using Prometheus where appropriate.
- Optimize cost and performance through right-sizing, Cluster Autoscaler and HPA/VPA tuning, node pool optimization, and workload scheduling best practices.
- Plan and execute upgrades and lifecycle management (Kubernetes versions, node images, add-ons) with low downtime, validation gates, and rollback strategies.
- Troubleshoot complex platform and workload issues (DNS, networking, ingress, storage, scaling, and deployment failures) and implement durable fixes.
- Enable your teams with hands-on AKS training, operational playbooks, and day-2 practices for incident response, secure delivery, and platform governance.
