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Testimonials
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.
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.
They have been great at adjusting and improving as we have worked together.
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.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
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.
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?
Envoy is a high-performance, open source edge and service proxy originally created at Lyft and now maintained within the CNCF ecosystem, designed to manage east–west and north–south traffic in modern distributed systems. It provides Layer 7 traffic management (routing, retries, timeouts, circuit breaking), dynamic service discovery via xDS APIs, and deep observability through metrics, distributed tracing, and access logs, making it a common data plane for service meshes and API gateways. Envoy is frequently deployed alongside Kubernetes and integrates well with service-mesh control planes such as Istio, and it supports extensibility through filters (e.g., JWT authentication, rate limiting) as well as modern protocols like HTTP/2 and gRPC; for more detail on its architecture and configuration model, see the Envoy documentation.
Networking, in the context of computer science and information technology, refers to the practice of connecting computers, servers, mainframes, network devices, peripherals, or other devices to exchange data and share resources. It encompasses both the physical (hardware) and logical (software) aspects of connections between devices. The primary goal of networking is to enable the sharing of data and resources, thereby improving efficiency and accessibility within and across computing environments. Networks can vary in size, ranging from simple local area networks (LANs) connecting a few devices in a single office, to complex wide area networks (WANs) spanning multiple geographic locations around the globe. Networking technologies and protocols facilitate communication and data transfer across these connections, adhering to standardized rules to ensure reliable and secure information exchange.
Envoy is a high-performance L7 proxy commonly used as the data plane for service meshes and modern ingress/egress gateways. It is chosen to standardize traffic management, security, and observability across microservices at scale.
- Advanced traffic routing supports retries, timeouts, circuit breaking, and rate limiting for resilient service-to-service communication.
- Layer 7 awareness enables HTTP/gRPC routing, header-based rules, and protocol features that are difficult to implement consistently in application code.
- mTLS and identity-based policies can be enforced at the proxy layer, reducing per-service security implementation and improving consistency.
- Strong observability primitives provide uniform metrics, access logs, and distributed tracing integration across services.
- Extensibility via filters and the xDS APIs allows dynamic configuration and custom traffic behavior without redeploying applications.
- High throughput and low latency design makes it suitable for large-scale east-west traffic and high-volume edge workloads.
- Consistent ingress and egress controls centralize cross-cutting concerns like authentication, authorization, and egress allowlists.
- Progressive delivery patterns such as canary releases, traffic splitting, and fault injection can be implemented at the network layer.
- Broad ecosystem adoption improves interoperability with Kubernetes, service meshes, and cloud load balancing patterns.
Envoy is often deployed as a sidecar proxy in a service mesh, as a standalone edge proxy, or as part of an API gateway architecture. Operational complexity increases with the number of proxies and policies, so it typically benefits from strong configuration management, versioning, and automated rollout practices.
Common alternatives include Linkerd, NGINX, HAProxy, and Traefik. For deeper service mesh capabilities, Envoy is frequently used under the hood by Istio, while Linkerd uses a different data plane approach.
Our experience with Envoy helped us build practical patterns, runbooks, and automation that we reuse to help clients manage service-to-service traffic reliably as their platforms scale. Across Kubernetes and VM-based environments, we implemented Envoy in ways that improved routing control, resilience, and observability without disrupting delivery timelines.
Some of the things we did include:
- Deployed Envoy as a sidecar and edge proxy in Kubernetes clusters, standardizing bootstrap configuration and lifecycle management across namespaces and teams.
- Implemented progressive delivery traffic controls (weighted routing, header-based routing, retries, circuit breaking, outlier detection) to reduce incident impact during releases.
- Built secure mTLS service-to-service connectivity using Istio with Envoy data plane policies, including certificate rotation and policy validation in CI.
- Integrated Envoy metrics, access logs, and tracing with Prometheus, Grafana, and OpenTelemetry to improve latency debugging and SLO reporting.
- Tuned performance for high-throughput gateways (listener/cluster design, connection pooling, timeouts, buffer limits), and validated changes with load testing and regression baselines.
- Implemented external authorization and rate limiting patterns, including JWT validation and policy-driven access controls for public and internal APIs.
- Designed high-availability and failure-domain-aware deployments (multi-AZ, pod disruption budgets, health checks, graceful drain) to support predictable failover behavior.
- Migrated legacy L7 routing rules from existing ingress/load balancer setups to Envoy, minimizing downtime through parallel routing and phased cutovers.
- Automated configuration delivery using xDS management patterns and GitOps workflows, adding guardrails for config review, rollout, and rollback.
This experience helped us accumulate significant knowledge across multiple Envoy use-cases—from edge routing to service mesh data plane operations—and it enables us to deliver high-quality Envoy setups that are maintainable, observable, and safe to operate at scale. For deeper background on Envoy’s core concepts, we often reference the upstream documentation at envoyproxy.io.
Some of the things we can help you do with Envoy include:
- Assess your current ingress/egress and service-to-service traffic patterns and deliver a clear review report with prioritized recommendations.
- Create an Envoy adoption roadmap covering deployment models, ownership, rollout sequencing, and success metrics.
- Implement and operate Envoy as a high-availability data plane for service mesh, edge proxy, or API gateway use cases.
- Standardize configuration and delivery with GitOps and CI/CD, including versioned Envoy configs, progressive rollout, and safe rollback.
- Harden Envoy with mTLS, RBAC, rate limiting, and policy guardrails aligned to your security and compliance requirements.
- Optimize performance and reliability through tuning (timeouts, retries, circuit breaking), load balancing strategy, and autoscaling guidance.
- Improve observability by instrumenting metrics, logs, and distributed tracing and integrating dashboards and alerting for SLO-driven operations.
- Troubleshoot complex traffic issues (latency, 5xx spikes, connection churn) and establish repeatable runbooks for incident response.
- Reduce operational cost by right-sizing resources, minimizing overhead, and validating capacity plans under realistic load.
- Enable your teams with hands-on training and documentation so developers and platform engineers can confidently operate and evolve Envoy.
