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Testimonials
They are very knowledgeable in their area of expertise.
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.
We were impressed with their commitment to the project.
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.
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.
They have been great at adjusting and improving as we have worked together.
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!
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.
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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?
Grafana Mimir is a horizontally scalable, multi-tenant time series database built for storing and querying Prometheus metrics across large environments. It is commonly used by platform and SRE teams that need reliable metrics retention and consistent query performance for many services, clusters, or internal tenants, especially when standalone Prometheus is limited by long-term storage and high-ingest workloads.
Mimir typically runs in Kubernetes and integrates with object storage for cost-effective retention, fitting into existing PromQL and Grafana dashboards while adding operational controls for shared, governed observability. For related monitoring workflows, see Grafana Mimir.
- Prometheus-compatible ingestion and query workflows (PromQL)
- Horizontal scaling for high ingestion rates and concurrent queries
- Multi-tenancy for isolating metrics by team, service, or customer
- Long-term retention backed by object storage
- Configurable limits and replication patterns to improve reliability
Monitoring allows for a continuous data stream of system status and insights to be arranged in a user-friendly method that is easy to interpret.
- Provides real-time visibility into system performance and health, enabling proactive issue resolution.
- Alerts to potential problems before they escalate, reducing downtime and improving service reliability.
- Tracks and analyzes key performance indicators (KPIs), aiding in informed decision-making.
- Enhances security by detecting unusual activities or breaches, allowing for immediate response.
- Facilitates resource optimization by identifying underutilized or overburdened assets.
- Supports compliance efforts by maintaining logs and records of system activities.
- Enables a data-driven approach to IT management, improving overall operational efficiency.
Grafana Mimir is a horizontally scalable, multi-tenant time series database for Prometheus metrics, used to store and query metrics reliably across large fleets and long retention periods.
- Horizontal scalability for ingestion and querying, enabling high cardinality workloads without a single-node bottleneck.
- Prometheus-compatible remote_write and query APIs, allowing existing Prometheus setups to extend retention and scale with minimal changes.
- Multi-tenancy with isolation controls, supporting shared monitoring platforms across teams, environments, or customers.
- Durable long-term storage backed by object storage, reducing cost compared to keeping all data on local disks.
- High availability options for ingestion and query paths, improving resilience for critical observability data.
- Efficient query execution for large time ranges, improving dashboard and alert evaluation performance at scale.
- Label-based access patterns that fit Prometheus conventions, keeping operational workflows consistent for SRE and platform teams.
- Operational tooling and configuration aligned with the Grafana ecosystem, simplifying integration with Grafana dashboards and alerting.
- Supports common scale-out patterns such as centralized metrics for Kubernetes and microservices, including cross-cluster visibility.
- Designed for controlled retention and compaction strategies, helping balance query speed, cost, and historical depth.
Mimir is a strong fit when Prometheus needs to scale beyond a single cluster or when long retention and multi-team access are required. It adds operational complexity compared to running Prometheus alone, and it typically requires careful capacity planning for ingestion rate, cardinality, and object storage performance.
Common alternatives include Thanos, Cortex, VictoriaMetrics, and InfluxDB, with different trade-offs in operational model, query behavior, and cost.
See the upstream project documentation for architecture and deployment details at https://grafana.com/oss/mimir/.
Our experience with Grafana Mimir helped us build practical patterns, runbooks, and automation that make it easier for clients to store and query Prometheus metrics reliably at scale, especially when moving from single-cluster monitoring to multi-environment observability.
Some of the things we did include:
- Designed and implemented production-grade Grafana Mimir clusters on Kubernetes with clear separation of read/write paths, tuned resources, and predictable scaling behavior.
- Migrated large Prometheus estates into Mimir with minimal disruption, including backfill strategies, remote_write cutovers, and validation of query parity.
- Integrated Mimir with Grafana for multi-tenant dashboards, standardized folder permissions, and consistent labeling conventions across teams.
- Built alerting workflows around Prometheus and Mimir, including recording rules, rule evaluation sizing, and operational guardrails for noisy alert sources.
- Implemented object storage backends (S3-compatible and cloud-native) and hardened retention, lifecycle policies, and encryption settings for long-term metric storage.
- Established high availability and disaster recovery approaches, including zone-aware deployments, replication considerations, and tested recovery procedures for common failure scenarios.
- Optimized query performance by tuning compaction, caching, and query-frontend behavior, and by applying label/cardinality controls to reduce operational risk.
- Automated deployments and upgrades using GitOps-style workflows, with configuration validation, safe rollouts, and repeatable environment promotion.
- Improved observability of the observability stack by instrumenting Mimir itself, creating SLO-oriented dashboards, and documenting on-call playbooks for incident response.
This experience helped us accumulate significant knowledge across multi-tenant, multi-cluster, and high-retention monitoring use-cases, enabling us to deliver high-quality Grafana Mimir setups that are maintainable, cost-aware, and aligned with how teams actually operate.
Some of the things we can help you do with Grafana Mimir include:
- Assess your current Prometheus metrics pipeline and deliver a clear findings report covering scalability, retention, and reliability gaps.
- Create an adoption roadmap for multi-tenant, long-term metrics storage aligned to SLOs, growth targets, and operational maturity.
- Design and implement a production-ready Grafana Mimir deployment (single or multi-cluster) with high availability and disaster recovery patterns.
- Automate provisioning and upgrades using Infrastructure as Code and GitOps workflows to make changes repeatable and auditable.
- Harden security with tenant isolation, authentication/authorization, encryption, and guardrails that support compliance requirements.
- Optimize cost and performance through retention policies, downsampling strategies, query tuning, and right-sized storage/backends.
- Troubleshoot ingestion, compaction, and query latency issues to stabilize dashboards and reduce on-call noise.
- Implement operational best practices: alerting, runbooks, capacity planning, and autoscaling strategies for predictable operations.
- Enable your team with hands-on training, documentation, and operational playbooks for day-2 ownership.
