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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.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
They are very knowledgeable in their area of expertise.
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.
We were impressed with their commitment to the project.
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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?
OpenShift is an enterprise Kubernetes platform for building, deploying, and operating containerized applications with consistent controls across on-premises and cloud environments. It is commonly used by platform teams, DevOps engineers, and developers who need standardized workflows for application delivery, governance, and day-to-day operations in multi-team organizations.
In typical setups, OpenShift provides a managed Kubernetes foundation plus integrated tooling for security, networking, and CI/CD, helping teams move workloads from development to production with repeatable patterns. For Kubernetes context and core concepts, see Kubernetes.
- Cluster provisioning and lifecycle management for container platforms
- Built-in developer workflows for building and deploying applications
- Role-based access control and policy-driven multi-tenancy
- Integrated routing, service networking, and ingress capabilities
- Operational tooling for monitoring, upgrades, and day-2 operations
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
OpenShift is an enterprise Kubernetes platform used to standardize how containerized applications are built, deployed, secured, and operated across on-premises and cloud environments. It is commonly adopted when teams need consistent day-2 operations, governance, and a supported Kubernetes distribution at scale.
- Provides a supported, hardened Kubernetes distribution with opinionated defaults that reduce configuration drift across clusters.
- Includes integrated ingress and routing with OpenShift Routes and managed ingress controllers to simplify application exposure and TLS termination.
- Enforces stronger multi-tenancy with Projects, RBAC, Security Context Constraints, and network policies to better isolate teams and workloads.
- Standardizes add-on installation and lifecycle management through Operators and Kubernetes-native APIs, improving repeatability and upgrade safety.
- Improves supply chain controls with integrated image workflows, including image scanning and policy options, to support controlled promotion across environments.
- Delivers built-in observability via integrated monitoring, alerting, and metrics collection to support day-2 operations and incident response.
- Supports GitOps and declarative operations patterns to reduce manual changes and keep environments consistent across dev, staging, and production.
- Integrates with enterprise identity providers (LDAP, SSO/OIDC) to centralize authentication and authorization for cluster and application access.
- Provides developer self-service via the web console and CLI for namespace provisioning, deployments, logs, and troubleshooting, reducing platform friction.
- Enables hybrid and multi-cloud portability by providing a consistent platform layer and operational model across infrastructure providers.
OpenShift is often a strong fit for regulated environments and platform teams supporting many clusters, where standardized controls and operational tooling reduce risk. Trade-offs can include licensing cost and added platform complexity compared to minimal upstream Kubernetes, so it tends to deliver the most value when its integrated capabilities are adopted consistently.
For platform details and supported capabilities, see Red Hat OpenShift. Common alternatives include upstream Kubernetes, Rancher, VMware Tanzu, and Amazon EKS.
Our experience with OpenShift helped us build repeatable delivery patterns, automation, and operational runbooks that we use to help clients run containerized workloads reliably across development, staging, and production environments.
Some of the things we did include:
- Designed and implemented multi-tenant OpenShift clusters with clear namespace, quota, and RBAC models aligned to platform operating standards.
- Migrated applications from VM-based deployments and upstream Kubernetes into OpenShift, standardizing build and deployment workflows with Source-to-Image (S2I) and containerized CI patterns.
- Built CI/CD pipelines integrating OpenShift with Git-based workflows and Argo CD for GitOps-style deployments and environment promotion.
- Implemented cluster observability and alerting by integrating OpenShift monitoring with Prometheus and Grafana, including SLO-oriented dashboards for services and platform components.
- Hardened platform security with SCC policies, network policies, image scanning gates, and secrets management patterns suitable for regulated environments.
- Configured ingress, routes, and TLS automation, including certificate lifecycle management and standardized edge patterns for internal and external services.
- Established HA/DR approaches across zones/regions, including backup/restore procedures for cluster state and application data, plus tested recovery playbooks.
- Optimized resource requests/limits and autoscaling behavior to reduce cluster waste while maintaining performance, and implemented chargeback/showback reporting for teams.
- Enabled developer self-service with curated templates, golden paths, and internal documentation that reduced onboarding time and deployment errors.
- Delivered platform training and operational support, including incident response improvements, upgrade planning, and safe rollout practices for OpenShift version changes.
This experience helped us accumulate significant knowledge across multiple OpenShift use-cases—from migrations and GitOps delivery to security, observability, and day-2 operations—and enables us to deliver high-quality OpenShift setups that teams can run with confidence.
Some of the things we can help you do with OpenShift include:
- Assess your applications, infrastructure, and delivery practices and deliver an OpenShift readiness report with prioritized remediation actions.
- Define an adoption roadmap covering cluster strategy, environment promotion, platform operating model, and day-2 support requirements.
- Design and implement production-grade OpenShift clusters using Infrastructure as Code, repeatable configuration standards, and automated provisioning.
- Establish CI/CD and GitOps workflows to standardize builds, deployments, rollbacks, and drift control across hybrid environments.
- Implement security and compliance guardrails including RBAC, network policies, image governance, secrets management, and audit-ready controls.
- Set up observability for OpenShift (metrics, logs, tracing) with actionable dashboards, SLO-aligned alerting, and runbooks to reduce MTTR.
- Optimize cost and performance through right-sized requests/limits, autoscaling, capacity planning, and workload placement policies.
- Modernize application delivery by containerizing services, improving deployment patterns, and reducing release risk during migrations.
- Enable platform and application teams with hands-on workshops, operational training, and documented runbooks for sustainable OpenShift operations.
