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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.
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.
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.
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.
They have been great at adjusting and improving as we have worked together.
We were impressed with their commitment to the project.
Nguyen is a champ. He's fast and has great communication. Well done!
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.
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.
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❌
📉
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🏗️
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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?
Open Policy Agent (OPA) is an open-source policy engine that enables teams to define and enforce governance rules as code, using declarative policies that can be evaluated consistently across systems. It is commonly used by platform, DevOps, and security teams to standardize controls for Kubernetes admission, CI/CD checks, and cloud resource compliance, helping reduce configuration drift and improve auditability. For background and documentation, see the Open Policy Agent (OPA) project.
OPA is typically embedded into applications or deployed as a sidecar/service, and it can integrate with tools like Kubernetes Gatekeeper to evaluate requests before changes are applied.
- Policy-as-code using the Rego language for expressive, version-controlled rules
- Consistent decisions across APIs, microservices, and infrastructure workflows
- Kubernetes admission control via Gatekeeper and constraint templates
- Decouples policy from application logic for easier updates and reviews
Open Policy Agent (OPA) is a policy-as-code engine that evaluates declarative rules to make consistent authorization and compliance decisions across services, Kubernetes, and cloud platforms.
- Centralizes policy logic outside application code, reducing duplicated authorization and compliance checks across teams.
- Uses Rego for expressive, testable policies that can model RBAC, ABAC, and contextual constraints.
- Enforces Kubernetes admission controls via Gatekeeper, preventing non-compliant resources from being created or updated.
- Supports fine-grained decisions for microservices and APIs, including input-based allow/deny, filtering, and data masking patterns.
- Provides consistent policy evaluation across heterogeneous environments, including CI/CD, infrastructure provisioning, and runtime.
- Enables auditable governance with version-controlled policies, code review workflows, and repeatable rollouts.
- Improves security posture by shifting policy enforcement left, catching violations during build and deployment stages.
- Offers a lightweight, embeddable evaluator with a clear API, suitable for sidecars, gateways, and service integrations.
- Scales policy management with modular rule organization, shared libraries, and automated policy testing.
OPA fits best when multiple platforms need the same governance rules and when policy changes must be reviewed and rolled out independently of application releases. Trade-offs include the learning curve of Rego and the need for disciplined policy testing and performance tuning for complex rulesets. For background and examples, see https://www.openpolicyagent.org/.
Common alternatives include Kyverno for Kubernetes-native policy, HashiCorp Sentinel for Terraform and Vault ecosystems, and AWS IAM/Azure RBAC for cloud-specific authorization models.
Our experience with Open Policy Agent (OPA) helped us build repeatable patterns, policy libraries, and delivery tooling that make governance consistent and auditable across Kubernetes, CI/CD, and cloud platforms.
Some of the things we did include:
- Authored and modularized Rego policies for common guardrails (RBAC, network controls, image provenance, and baseline security), with versioning and review workflows.
- Implemented OPA admission control on Kubernetes using Gatekeeper-style constraints to enforce standards at deploy time without slowing teams down.
- Integrated OPA policy checks into Terraform delivery pipelines to prevent non-compliant infrastructure changes before merge and apply.
- Built CI/CD policy gates and automated feedback for developers, including policy test suites and policy-as-code promotion across environments.
- Designed policy architecture for multi-tenant clusters and platform teams, including shared libraries, exception processes, and environment-specific overlays.
- Enabled centralized policy distribution and lifecycle management, aligning policies with change management and audit requirements.
- Instrumented policy decisions for traceability and troubleshooting, and connected decision logs to Prometheus-based monitoring for operational visibility.
- Hardened policy deployments for reliability (rollbacks, safe defaults, and controlled rollout strategies) to reduce risk during updates.
- Supported teams with enablement sessions and hands-on pairing to establish Rego authoring practices, testing conventions, and troubleshooting runbooks.
This experience helped us accumulate significant knowledge across multiple OPA use-cases—from Kubernetes admission control to CI/CD and infrastructure governance—and enables us to deliver high-quality Open Policy Agent (OPA) implementations that teams can operate confidently.
Some of the things we can help you do with Open Policy Agent (OPA) include:
- Assess your current governance and authorization approach and deliver a prioritized policy review report with gaps, risks, and quick wins.
- Create an adoption roadmap for policy-as-code across Kubernetes, CI/CD, and cloud platforms, including ownership, workflows, and rollout phases.
- Design a scalable OPA policy architecture (bundles, data, testing strategy) aligned to your org structure and delivery model.
- Author, refactor, and test Rego policies for admission control, authorization, and compliance guardrails with clear documentation and examples.
- Implement and operate OPA in Kubernetes using Gatekeeper, including constraint templates, constraints, exemptions, and safe rollout patterns.
- Integrate policy checks into CI/CD and GitOps workflows so policy violations are caught early with actionable feedback for developers.
- Establish security and compliance controls (least privilege, baseline standards, auditability) with versioned policies and approval workflows.
- Optimize policy performance and operational cost by tuning evaluation patterns, caching/bundling strategies, and minimizing noisy enforcement.
- Set up observability for policy decisions (logs, metrics, alerts) to troubleshoot failures and prove compliance during audits.
- Enable your teams with hands-on training for Rego, policy testing, and day-2 operations, plus playbooks for ongoing maintenance.
Learn more about OPA at openpolicyagent.org.
