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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.
Nguyen is a champ. He's fast and has great communication. Well done!
They are very knowledgeable in their area of expertise.
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.
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.
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.
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.
We were impressed with their commitment to the project.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
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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 most commonly used to deploy and operate Ceph inside Kubernetes clusters. It is typically used by platform and DevOps teams that need durable, self-managed persistent storage for stateful workloads, especially in on-prem or hybrid environments where managed cloud storage is limited, inconsistent across environments, or too costly.
Rook runs as Kubernetes operators and custom resources (CRDs), translating declarative configuration into ongoing storage operations. It integrates with standard Kubernetes workflows such as StorageClasses and PersistentVolumeClaims, so applications can request storage without managing Ceph directly. For related platform context, see Kubernetes.
- Automates Ceph cluster deployment, configuration, and day-2 lifecycle tasks
- Provides dynamic provisioning for stateful apps via StorageClasses and PVCs
- Supports block (RBD), file (CephFS), and object (RGW) storage interfaces
- Helps coordinate scaling, upgrades, 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 runbooks, automation patterns, and troubleshooting workflows that we use to help clients design, implement, and operate Kubernetes-native storage with predictable reliability, performance, and cost control.
Some of the things we did include:
- Deployed and standardized Rook-managed Ceph clusters across development, staging, and production Kubernetes environments, aligning StorageClasses, access modes, reclaim policies, and volume expansion behavior.
- Designed Ceph topology through Rook (MON/MGR placement, OSD sizing, replication vs erasure coding, and failure-domain layout) to meet availability targets while keeping recovery time and capacity overhead under control.
- Implemented GitOps-driven day-2 operations with Argo CD, including repeatable bootstrap, safe upgrade sequencing, and drift-controlled configuration changes.
- Built storage observability with Prometheus and Grafana, with alerts for quorum health, slow ops, latency, backfill/recovery saturation, and near-full conditions.
- Hardened multi-tenant usage using Kubernetes RBAC, namespace guardrails, key management and encryption-at-rest considerations, and documented operating procedures for platform teams.
- Planned and executed migrations from legacy in-cluster volumes and external storage systems to Rook-managed RBD/CephFS, including cutover sequencing, downtime minimization, and rollback paths.
- Validated failure scenarios (node loss, disk loss, network partitions) and tuned disruption budgets, maintenance workflows (cordon/drain), and OSD replacement procedures to reduce incident risk.
- Optimized performance and cost by tuning pool settings, selecting the right volume type (RBD vs CephFS), setting capacity thresholds, and implementing cleanup policies to prevent runaway growth.
- Integrated Rook provisioning into platform templates and CI/CD workflows so application teams could request persistent volumes consistently across namespaces and clusters.
- Implemented backup and restore workflows for stateful workloads, including restore testing, incident-ready runbooks, and clear ownership boundaries between application and platform teams.
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.
