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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.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
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.
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.
They are very knowledgeable in their area of expertise.
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.
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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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?
External Secrets Operator is a Kubernetes controller that syncs values from external secret managers into native Kubernetes Secrets. Platform and DevOps teams use it to keep credentials, API keys, and certificates out of Git repositories and CI logs while giving applications a consistent way to consume sensitive configuration across environments.
It runs inside the cluster and continuously reconciles desired state, so secret references live in manifests while the source of truth remains in a vault. This fits common GitOps workflows and supports standardized secret delivery alongside broader platform engineering practices.
- Syncs and refreshes secrets from supported external providers into Kubernetes
- Enables multi-namespace and multi-environment secret distribution with consistent naming
- Supports separation of duties by keeping secret values in the external store
- Helps reduce configuration drift through controller-based reconciliation
- Works with rotation patterns by updating Kubernetes Secrets when upstream values change
Secrets management is the practice of securely storing, managing, and using sensitive information, such as passwords, API keys, and certificates. This is important because sensitive information is often required for accessing critical systems and services, and if it is not properly protected, it can be vulnerable to being stolen or misused.
There are several reasons why secrets management is crucial:
- Secrets management provides secure and auditable storage for sensitive information, reducing risk of misuse and unauthorized access
- Secrets management helps with compliance regulations
- It makes it convenient for users to access sensitive information
- It is scalable and flexible to accommodate growing organizations
External Secrets Operator is a Kubernetes controller that syncs values from external secret managers into native Kubernetes Secrets, keeping sensitive data out of Git and CI systems while standardizing how applications consume credentials across clusters.
- Keeps an external secret manager as the source of truth while Kubernetes remains the consumption layer for workloads.
- Reduces secret sprawl in repos and pipelines by materializing Secrets at runtime instead of committing encrypted or plaintext values.
- Supports multiple backends, including AWS Secrets Manager, Azure Key Vault, Google Secret Manager, and HashiCorp Vault, which helps unify patterns across teams and environments.
- Enables periodic refresh and rotation by re-syncing values on a configurable interval, reducing manual redeploys when credentials change.
- Improves access control by relying on provider-native IAM and scoping Kubernetes RBAC to only the namespaces and resources that need secrets.
- Standardizes secret naming and key structure using reusable ExternalSecret definitions, improving consistency across clusters and namespaces.
- Supports templating and data transformation so applications receive secrets in the exact format they expect without application code changes.
- Decouples application delivery from secret lifecycle management, enabling credential rotation without rebuilding images or altering deployment manifests.
- Improves auditability by keeping access logs, secret versions, and rotation history in the external secret manager rather than scattering copies across systems.
- Reduces operational overhead compared to bespoke init containers, sidecars, or CI-driven secret injection approaches that are harder to govern.
External Secrets Operator is a strong fit for GitOps and multi-cluster platforms that want consistent secret delivery and centralized governance. Key trade-offs include dependency on controller availability, careful tuning of refresh intervals to avoid provider rate limits, and ensuring in-cluster Secrets are still protected with least-privilege RBAC and node-level controls.
Common alternatives include the Kubernetes Secrets Store CSI Driver, HashiCorp Vault Agent Injector, and SOPS for GitOps-based secret encryption; see https://external-secrets.io/ for upstream documentation.
Our experience with External Secrets Operator helped us establish secure, repeatable patterns for delivering secrets to Kubernetes workloads, reducing credential exposure while keeping configurations consistent across clusters and teams.
Some of the things we did include:
- Designed multi-cluster reference architectures with clear conventions for ExternalSecret, SecretStore/ClusterSecretStore, namespace tenancy, and ownership boundaries.
- Deployed, configured, and upgraded the controller using GitOps with Argo CD, including environment overlays, safe rollout procedures, and drift detection.
- Integrated external backends such as AWS Secrets Manager, Azure Key Vault, and HashiCorp Vault, and validated least-privilege access using IRSA/workload identity and Kubernetes RBAC.
- Hardened production setups by scoping controller permissions, tuning reconciliation/refresh settings, and applying Pod Security and resource limits to reduce blast radius.
- Standardized secret naming, labels/annotations, tagging, and lifecycle practices to reduce sprawl and make audits and rotations predictable.
- Implemented rotation and refresh strategies, including failure handling, backoff behavior, and application update patterns to safely pick up secret changes.
- Built CI/CD guardrails to prevent plaintext secrets from entering repos and to validate CRD usage, store configuration, and policy compliance during pull requests.
- Instrumented operational visibility with metrics and alerting via Prometheus, focusing on sync failures, latency, backend throttling, and permission regressions.
- Migrated workloads from in-cluster secret creation and other secret delivery approaches to External Secrets Operator with cutover plans, validation steps, and rollback procedures.
- Ran resilience tests for backend outages and rate limits, and delivered runbooks and enablement sessions for platform and application teams to support day-2 operations.
This experience helped us accumulate significant knowledge across multiple use-cases, and it enables us to deliver high-quality External Secrets Operator setups that are secure, maintainable, and consistent across Kubernetes environments.
Some of the things we can help you do with External Secrets Operator include:
- Assess your current Kubernetes secrets workflow and deliver a review report covering risks, gaps, and prioritized remediation steps.
- Define an adoption roadmap for External Secrets Operator across dev/stage/prod, including ownership, rollout phases, and success metrics.
- Design and implement a production-ready controller deployment with clear tenancy boundaries, namespace strategy, and upgrade approach.
- Integrate with your external secret backends (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault) and standardize SecretStore and ExternalSecret patterns for teams.
- Establish security and compliance guardrails: least-privilege IAM/RBAC, scoped access per workload, auditability, and rotation-friendly practices.
- Automate secrets delivery via GitOps and CI/CD (e.g., Argo CD), ensuring sensitive values stay out of Git and build logs.
- Optimize performance and reliability by tuning refresh intervals, retries, rate limits, and rollout behavior to reduce backend API load and deployment risk.
- Implement observability for sync health with metrics, logs, and alerting, plus runbooks to shorten time-to-recovery during incidents.
- Troubleshoot reconciliation issues (permissions, throttling, stale secrets, controller upgrades) and harden operations with repeatable remediation playbooks.
- Enable platform and application teams with hands-on training, reference templates, and documentation to scale secure usage across services.
