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Testimonials
They have been great at adjusting and improving as we have worked together.
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.
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.
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.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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!
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 are very knowledgeable in their area of expertise.
We were impressed with their commitment to the project.
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?
NATS is a lightweight messaging system used for low-latency publish/subscribe and request-reply communication in distributed, event-driven applications. Platform and application teams use it to decouple services, avoid brittle point-to-point integrations, and support asynchronous workflows such as background processing, internal APIs, and real-time event propagation.
It is commonly run as a small, highly available cluster on Kubernetes or virtual machines, acting as a message backbone between microservices and workers. For use cases that need durable streams, replay, or consumer state, JetStream extends NATS with persistence and acknowledgement-based delivery.
- Subject-based routing to organize event namespaces and control message flows
- Pub-sub and request-reply patterns for service-to-service messaging
- JetStream for persistence, acknowledgements, retention, and replay
- Clustering for high availability and resilient operations across nodes
Message Queues are asynchronous communication mechanisms for decoupled applications to exchange messages, improving scalability and reliability
Message Queues are a useful tool that can integrate easily and empower your project with many benefits, such as:
- Decoupled communication between applications
- Improved scalability and reliability
- Asynchronous processing and handling of messages
- Load balancing and message prioritization
- Durable storage of messages for guaranteed delivery
- Supports processing of large volumes of messages.
NATS is a lightweight messaging system for low-latency publish/subscribe and request-reply communication in distributed, event-driven systems. It is often used to decouple services, reduce synchronous dependencies, and deliver real-time events with predictable operational overhead.
- Low latency and high throughput make it suitable for real-time fan-out across many producers and consumers.
- Simple pub-sub and request-reply semantics support common microservice communication patterns without a heavy broker footprint.
- Subject-based routing enables a clear event taxonomy, wildcard subscriptions, and fine-grained filtering at the client level.
- JetStream adds durability for streams, consumer state, replay, and at-least-once delivery when persistence is required.
- Horizontal scalability through clustering and superclusters supports multi-region and multi-tenant topologies.
- Flow control and backpressure features help protect slow consumers and stabilize event pipelines under load.
- Security capabilities include TLS, authentication, authorization, and account isolation for shared platform deployments.
- Operationally lightweight runtime and configuration fit well in Kubernetes and edge environments with constrained resources.
- Multiple client libraries and a straightforward protocol reduce integration friction across polyglot services.
NATS is typically a strong fit for real-time notifications, command and control, cache invalidation, and internal eventing where low latency and simplicity matter. For very large-scale log retention, complex stream processing, or strict ordering and long retention requirements, a log-based platform can be a better match.
Common alternatives include Apache Kafka, RabbitMQ, Redis Streams, and cloud provider pub-sub services; see the NATS documentation for details on core semantics and JetStream behavior.
Our experience with NATS helped us build repeatable delivery patterns, automation, and operational runbooks for teams that needed low-latency pub-sub and request-reply messaging with predictable reliability across distributed systems.
Some of the things we did include:
- Designed subject hierarchies, naming conventions, and ownership boundaries to keep event domains clear, searchable, and safe to evolve over time.
- Implemented JetStream for durable streams and consumers, tuning retention, replication, ack policies, and storage limits to match throughput and compliance needs.
- Deployed and operated NATS clusters on Kubernetes with hardened configs, resource sizing, pod disruption handling, and safe rolling upgrade procedures aligned to SLOs.
- Built observability for brokers and consumers using Prometheus metrics and Grafana dashboards, adding alerting for stream growth, consumer lag, and cluster health.
- Implemented security controls with TLS, accounts/users, and permissioned subjects, including secret distribution, rotation practices, and audit-friendly configuration reviews.
- Integrated NATS provisioning and configuration promotion into CI/CD workflows, adding automated validation to reduce drift between environments.
- Designed high-availability and disaster recovery approaches, including multi-zone placement, backup/restore testing for JetStream state, and documented incident runbooks.
- Migrated workloads from heavier brokers to NATS, mapping topics/queues to subjects and consumers while preserving delivery semantics and minimizing downtime.
- Implemented request-reply and work-queue patterns in microservices, adding backpressure handling, timeouts, and idempotency to prevent duplicate side effects.
- Delivered enablement through hands-on workshops, reference implementations, and on-call playbooks to support day-2 operations and faster onboarding.
This experience helped us accumulate significant knowledge across multiple NATS use-cases, from JetStream durability to Kubernetes operations, security, and observability, enabling us to deliver high-quality NATS setups that are secure, maintainable, and production-ready.
Some of the things we can help you do with NATS include:
- Assess your current messaging and eventing architecture and deliver a findings report with risks, gaps, and a prioritized NATS adoption recommendation.
- Define a practical event-driven roadmap, including subject taxonomy, ownership boundaries, and migration steps to safely decouple services.
- Design and implement NATS pub-sub and request-reply patterns with clear latency, reliability, and failure-mode targets.
- Implement JetStream for persistence, replay, and at-least-once delivery, including stream/consumer design, retention policies, and backpressure handling.
- Deploy and operate NATS on Kubernetes using IaC and GitOps workflows, standardized environments, and repeatable upgrade procedures.
- Establish security and compliance guardrails with accounts and permissions, TLS, secrets management, network policies, and least-privilege access controls.
- Build observability for brokers and clients using metrics, logs, and tracing, with actionable dashboards, SLOs, and incident runbooks.
- Optimize performance and cost via tuning, capacity planning, autoscaling strategies, and load testing for peak traffic and reconnect scenarios.
- Troubleshoot production issues (slow consumers, redelivery loops, reconnect storms, resource contention) and implement preventative controls.
- Enable teams with hands-on training, reference implementations, and usage standards to make NATS consistent across services and squads.
