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Testimonials
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.
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.
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.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
They are very knowledgeable in their area of expertise.
We were impressed with their commitment to the project.
They have been great at adjusting and improving as we have worked together.
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?
HashiCorp Nomad is a lightweight workload orchestrator used by platform and DevOps teams to schedule and operate containerized applications, batch jobs, and legacy services across a shared cluster. It helps standardize deployments and improve resource utilization by placing workloads based on CPU, memory, and node constraints, making it useful in environments that run both VMs and containers.
Nomad runs on Linux and Windows nodes and is often integrated with service discovery and secrets management tools to support end-to-end application operations. It fits well for organizations that want a single control plane for job definitions, scaling, and lifecycle management. For related platform engineering practices, see MeteorOps.
- Schedules containers and native binaries using a unified job specification
- Supports long-running services and batch workloads with rolling updates
- Improves placement with resource limits, affinities, and node attributes
- Enables multi-datacenter operation and federated clusters
- Provides controls for scaling, health checks, and rescheduling
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
HashiCorp Nomad is a lightweight workload orchestrator for scheduling and operating containerized and non-container workloads across a shared cluster. It is commonly used to standardize deployments, scaling, and placement while keeping the control plane relatively simple.
- Runs mixed workload types, including Docker containers, raw executables, and Java applications, which supports incremental modernization without forcing everything into containers.
- Single-binary architecture with straightforward clustering, which can reduce operational overhead compared to more complex orchestration stacks.
- Efficient scheduling and bin packing, which improves CPU and memory utilization and can lower infrastructure cost in VM-heavy environments.
- Multi-datacenter and multi-region placement, which helps keep workloads close to users or dependencies and supports failover patterns.
- Integration with Consul for service discovery and health-based registration, which enables dynamic routing as allocations are rescheduled.
- Integration with Vault for secrets injection and rotation, which avoids embedding credentials in images, artifacts, or job specifications.
- Declarative job specifications with rolling updates, canaries, and rollbacks, which standardizes release workflows across heterogeneous services.
- Namespaces and ACLs for multi-tenancy and least-privilege operations, which helps isolate teams and environments within shared clusters.
- CSI volume support and device plugins, which enables stateful workloads and specialized hardware use cases when needed.
- Extensible drivers and ecosystem integrations, which helps fit Nomad into environments that run on VMs, bare metal, or multiple clouds.
Nomad is often a strong fit for organizations that need to orchestrate legacy services alongside containers, want a smaller orchestration control plane, or already use the HashiCorp stack. Trade-offs can include a smaller add-on ecosystem than Kubernetes and a greater reliance on Consul and Vault to provide a complete platform experience.
Common alternatives include Kubernetes, Apache Mesos, and Docker Swarm. For project documentation, see https://developer.hashicorp.com/nomad.
Our experience with HashiCorp Nomad helped us develop repeatable delivery patterns, automation, and operational runbooks that we used to help clients orchestrate containerized applications, batch jobs, and legacy services with predictable scheduling, scaling, and resource utilization.
Some of the things we did include:
- Designed and implemented production Nomad clusters in cloud and on-prem environments, including server/client sizing, placement strategies, and capacity planning based on real workload profiles.
- Hardened multi-tenant setups using namespaces, ACL policies, and token workflows, and integrated secrets delivery with HashiCorp Vault for runtime credentials and short-lived access.
- Standardized job specifications for services, batch jobs, and system jobs, including constraints, affinities, update strategies, health checks, and resource reservations to reduce noisy-neighbor issues.
- Implemented service discovery and traffic routing patterns with HashiCorp Consul, including blue/green and canary rollouts with clear promotion and rollback steps.
- Built CI/CD pipelines that validated and promoted Nomad jobs (format/lint, policy checks, controlled deployments), reducing manual changes and deployment drift across environments.
- Integrated observability for Nomad clusters and workloads with metrics, logs, and alerting, and tuned dashboards to make scheduling pressure, allocation churn, and resource contention actionable.
- Automated cluster provisioning, upgrades, and drift control with Infrastructure as Code and immutable images, improving repeatability, patch cadence, and rollback safety.
- Implemented high availability and disaster recovery practices, including backup/restore procedures, failure testing, and upgrade runbooks aligned to uptime objectives.
- Migrated workloads from ad-hoc VM scheduling, legacy init systems, and other orchestrators into Nomad with staged cutovers, minimal downtime, and measurable performance baselines.
- Established hybrid patterns where Nomad complemented Kubernetes for specific workload types, clarifying boundaries, networking, and operational ownership.
This experience helped us accumulate significant knowledge across multiple Nomad use-cases—secure cluster design, workload onboarding, integrations, and day-2 operations—and enables us to deliver high-quality HashiCorp Nomad setups that are practical to run, govern, and evolve.
Some of the things we can help you do with HashiCorp Nomad include:
- Review your current orchestration approach and infrastructure readiness, then deliver a findings report with prioritized recommendations.
- Define an adoption roadmap for scheduling container and non-container workloads, including environment strategy, operating model, and rollout plan.
- Design and implement production-grade Nomad clusters (including multi-region where needed) with upgrades, client configuration, and resilience patterns.
- Standardize Nomad job specifications and deployment patterns for services, batch jobs, and system workloads to improve consistency and repeatability.
- Implement security and compliance guardrails with ACLs, secrets handling, network segmentation, and least-privilege access aligned to your requirements.
- Automate provisioning and configuration using infrastructure as code with Terraform and integrate with CI/CD for reliable releases.
- Improve reliability with health checks, placement constraints, rescheduling policies, and safe rollout strategies for predictable operations.
- Optimize cost and performance through right-sizing, bin packing, quotas, and scheduling policies to increase cluster utilization.
- Establish observability and day-2 runbooks for metrics, logs, alerting, incident response, and ongoing cluster maintenance.
- Enable your teams with hands-on training, documentation, and pairing to support self-sufficient operations and continuous improvement.
