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Testimonials
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.
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.
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.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
Nguyen is a champ. He's fast and has great communication. Well done!
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.
They are very knowledgeable in their area of expertise.
I was impressed with the amount of professionalism, communication, and speed of delivery.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
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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?
Rook is a Kubernetes-native storage orchestrator used to deploy and operate Ceph within Kubernetes clusters. It is commonly adopted by platform and DevOps teams that need durable, self-managed persistent storage for stateful workloads, especially when managed cloud storage is not available, not cost-effective, or when consistent storage operations are required across multiple environments.
Rook runs as Kubernetes operators and custom resources, turning declarative configuration into ongoing storage operations. It typically integrates with StorageClasses and PersistentVolumeClaims so applications can request block, file, or object storage through standard Kubernetes workflows. For broader Kubernetes platform context, see Kubernetes.
- Automates Ceph cluster deployment, configuration, and lifecycle management via CRDs
- Enables dynamic provisioning for stateful applications using StorageClasses and PVCs
- Supports block (RBD), file (CephFS), and object (RGW) storage interfaces
- Assists with upgrades, scaling, health monitoring, and recovery workflows
Storage, in the context of computer science and information technology, refers to the digital infrastructure components used to retain, manage, and retrieve data. At its core, storage ensures that data, whether it's website content, database records, or application files, remains persistently available, even after a system shutdown or reboot. From a DevOps perspective, storage plays an indispensable role in ensuring that systems run efficiently and securely. It involves understanding and managing: Types of Storage: This includes primary storage (like RAM) and secondary storage (like HDDs, SSDs, and more recent innovations such as NVMe). Each has its distinct advantages and applications in terms of speed, durability, and capacity. Storage Architectures: Different architectures, like DAS (Direct-Attached Storage), NAS (Network-Attached Storage), and SAN (Storage Area Network), offer varied solutions to data accessibility and scalability concerns. Data Lifecycle Management: Effective storage strategies involve periodically backing up data, ensuring redundancy through RAID configurations or cloud replication, and implementing disaster recovery protocols. Performance Monitoring: As applications grow, so does the need for monitoring storage Input/Output operations, latency, and throughput, to guarantee optimal system performance.
- Facilitates efficient data management and retrieval, essential for handling large volumes of information.
- Enhances data accessibility, allowing users to access data from various locations and devices.
- Improves data backup and recovery processes, ensuring data integrity and minimizing loss risks.
- Scales easily with organizational growth, accommodating increasing data storage needs.
- Offers cost-effective solutions by optimizing space usage and reducing physical infrastructure costs.
- Supports data analytics and business intelligence by providing a centralized repository for data.
- Enhances security measures, protecting sensitive data through advanced encryption and access controls.
Rook is a Kubernetes-native storage orchestrator most commonly used to deploy and operate Ceph inside Kubernetes. It is used when teams need self-hosted, durable persistent storage with declarative configuration and day-2 operations aligned to Kubernetes workflows.
- Automates Ceph cluster deployment and lifecycle management using Kubernetes controllers and CRDs, including bootstrap, upgrades, and scaling.
- Enables declarative, GitOps-friendly operations where storage state is defined in manifests and continuously reconciled to the desired configuration.
- Provides access to Ceph block, file, and object storage for workloads through Kubernetes StorageClasses and CSI integration.
- Reduces operational toil by turning common maintenance activities into repeatable Kubernetes-native workflows, with status and events visible via the API.
- Supports failure-domain aware placement using nodes, devices, racks, and zones to meet availability and durability requirements.
- Standardizes storage provisioning across environments by keeping the control plane in-cluster and using Kubernetes RBAC and namespaces for access control.
- Improves observability by exposing cluster health, capacity, and performance signals that can be scraped and alerted on via common monitoring stacks.
- Enables multi-tenant and policy-driven patterns with per-StorageClass settings for performance tiers, replication, and isolation.
- Fits stateful platforms that need predictable recovery and data integrity, including databases, message queues, and analytics workloads.
Rook is a strong fit when a Kubernetes platform needs portable storage without depending on a specific cloud provider. Key trade-offs include the complexity of operating Ceph, plus careful planning for networking, failure domains, capacity growth, and performance tuning.
Alternatives include Longhorn, OpenEBS, Portworx, and cloud-managed CSI-backed storage such as AWS EBS, Google Persistent Disk, or Azure Disk. For background, see Kubernetes storage concepts.
Our experience with Rook helped us build practical knowledge, runbooks, and automation that we use to help clients operate self-hosted, Kubernetes-native storage safely and predictably across multiple environments.
Some of the things we did include:
- Implemented Rook-based storage on production Kubernetes clusters, standardizing StorageClasses, access modes, and volume lifecycle policies for stateful workloads.
- Designed and tuned Ceph-backed clusters via Rook (MON/OSD sizing, replication/erasure coding choices, and failure-domain layout) to meet availability and performance targets.
- Automated day-2 operations with GitOps workflows using Argo CD, including safe upgrades, configuration drift control, and repeatable cluster bootstrap.
- Integrated Rook storage provisioning into CI/CD pipelines and platform templates so application teams could request persistent volumes consistently across namespaces and environments.
- Built observability for storage health and capacity using Prometheus and Grafana, including alerting for quorum, latency, backfill/recovery, and near-full conditions.
- Hardened multi-tenant usage with Kubernetes RBAC, namespace policies, and encryption considerations for sensitive workloads, plus documented operational guardrails.
- Planned and executed migrations from legacy in-cluster volumes and external storage to Rook-managed storage with minimal downtime and clear rollback paths.
- Implemented backup and restore workflows for stateful apps, validating recovery procedures through regular restore tests and incident-ready runbooks.
- Improved reliability by validating node and disk failure scenarios, tuning disruption budgets, and codifying maintenance procedures (cordon/drain, OSD replacement, and rebalancing).
- Delivered enablement sessions for platform and SRE teams, covering troubleshooting patterns, upgrade strategies, and operational metrics that matter in production.
This experience helped us accumulate significant knowledge across multiple Rook use-cases, and it enables us to deliver high-quality Rook setups and operational support that fit real production constraints.
Some of the things we can help you do with Rook include:
- Assess your current Kubernetes storage setup and deliver a written review covering risks, operational gaps, and prioritized recommendations for Rook and Ceph.
- Define an adoption roadmap with target architecture, ownership model, SLAs/SLOs, and a phased migration plan for stateful workloads.
- Design and implement production-ready Rook/Ceph clusters for block, file, and object storage aligned to failure domains, capacity targets, and growth.
- Standardize provisioning with StorageClasses, pools, replication/erasure coding strategies, and workload-aware placement for predictable performance.
- Automate day-2 operations using infrastructure-as-code and GitOps workflows with Argo CD to keep changes repeatable and auditable.
- Harden security and compliance with least-privilege RBAC, encryption and key-management patterns, network policies, and policy guardrails.
- Improve reliability with upgrade strategies, backup/restore patterns, disaster recovery planning, and incident runbooks for on-call operations.
- Implement observability for storage health and SLOs (metrics, logs, alerts) and integrate signals into your operational workflows.
- Optimize cost and performance through capacity planning, tuning, and right-sizing to reduce overprovisioning without sacrificing resilience.
- Enable your team with hands-on training, operational checklists, and knowledge transfer to run Kubernetes-native storage confidently.
