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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.
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
We were impressed with their commitment to the project.
They are very knowledgeable in their area of expertise.
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.
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.
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.
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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?
GCP (Google Cloud Platform) is a public cloud platform used by engineering teams to run applications, store data, and operate secure, scalable infrastructure without managing physical hardware. It helps organizations modernize systems, build cloud-native services, and support analytics and AI workloads while maintaining governance and cost control.
GCP is typically used through projects and VPC networks, with resources provisioned via infrastructure as code and integrated into CI/CD workflows for repeatable deployments across environments.
- Compute and container platforms such as Compute Engine and Google Kubernetes Engine (GKE)
- Managed data services including BigQuery, Cloud SQL, and Cloud Storage
- Networking and security controls like IAM, VPC, and organization policies
- Observability tooling with Cloud Monitoring and Cloud Logging
- Serverless options such as Cloud Run and App Engine for event-driven services
The cloud is a general term used to describe resources such as computing and storage that are provided as services managed by the cloud provider. Nowadays cloud providers offer a wide variety of services: Databases, Orchestration tools, Messaging queues, etc.
Running and maintaining a physical data center requires significant time and effort, with limited resources compared to the extensive options offered by various Cloud providers. In certain situations, managing physical infrastructure cannot be avoided due to security or budget constraints. Nonetheless, the diverse array of top-notch services provided by cloud providers, along with their seamless integrations and user-friendly interfaces, make them an excellent option for developing software applications.
GCP (Google Cloud Platform) is a public cloud platform used to run applications, store data, and operate secure, scalable infrastructure without managing physical hardware. It is commonly chosen for global reach, strong data and analytics capabilities, and flexible platform services.
- Elastic compute and managed runtimes support predictable scaling for variable workloads, including containerized and serverless applications.
- Global networking and load balancing help deliver low-latency, highly available services across regions and zones.
- Managed Kubernetes with Google Kubernetes Engine (GKE) provides a mature control plane, integrated upgrades, and strong ecosystem support for platform engineering.
- Identity and access controls integrate with centralized IAM policies to enforce least privilege and reduce operational risk.
- Encryption by default and key management options support common security and compliance requirements for regulated workloads.
- Infrastructure as code workflows are well supported via Terraform, enabling repeatable environments, policy enforcement, and auditable change control.
- Observability tooling and integrations make it easier to standardize logging, metrics, and tracing for production operations.
- Data and analytics services such as BigQuery enable high-performance analytics with minimal infrastructure management.
- Cost management capabilities like budgets, alerts, and committed use discounts help control spend and reduce surprises in multi-team environments.
GCP is often a strong fit for teams building data platforms, Kubernetes-based internal platforms, and globally distributed services. As with any cloud, governance, network design, and cost controls should be established early to avoid sprawl and inconsistent security posture.
Common alternatives include AWS, Azure, and Oracle Cloud Infrastructure (OCI).
Our experience with GCP helped us develop practical delivery patterns, reusable automation, and operational guardrails that we apply to help clients run secure, scalable, and cost-controlled cloud platforms.
Some of the things we did include:
- Designed and provisioned GCP landing zones with Terraform/Terragrunt, covering org/folder structure, project factories, IAM baselines, Shared VPC, and clear environment separation.
- Implemented governance with policy-as-code (Org Policies), standardized tagging/labels, budget guardrails, and audit-ready logging aligned to Google Cloud Architecture Framework.
- Migrated applications and data to GCP using phased cutovers, dependency mapping, runbooks, and rollback plans, including hybrid connectivity (Cloud VPN / Interconnect) where required.
- Built container platforms on GKE with hardened cluster baselines, node pool strategies, autoscaling, and GitOps-style delivery integrated with Kubernetes.
- Delivered CI/CD for applications and infrastructure, including artifact promotion, environment-specific releases, and automated quality/security checks tied to IaC changes.
- Set up observability with Cloud Logging/Monitoring using SLOs, alert routing, and dashboards, and integrated metrics pipelines with Prometheus for teams standardizing on a unified monitoring stack.
- Hardened security posture with least-privilege IAM, Workload Identity patterns, Secret Manager usage, network segmentation, and incident-ready audit trails across critical projects.
- Implemented data platforms on BigQuery and Cloud Storage, including ingestion pipelines, partitioning/clustering strategies, dataset governance, and query cost controls for analytics at scale.
- Designed high-availability and disaster recovery approaches across regions, including backup/restore automation, recovery runbooks, and regular recovery testing to validate RTO/RPO targets.
- Optimized cloud spend with budgeting, rightsizing, commitment recommendations, and chargeback/showback reporting so teams could forecast and control costs reliably.
This experience helped us accumulate significant knowledge across multiple GCP use-cases—from greenfield builds to migrations and optimization—and enables us to deliver high-quality GCP setups that are maintainable, observable, and ready to scale.
Some of the things we can help you do with GCP include:
- Run a GCP assessment and deliver a prioritized findings report covering architecture, reliability, security, and cost drivers.
- Create an adoption roadmap and landing zone plan (accounts/projects, networking, IAM, org policies) aligned to your operating model.
- Design and implement production-ready GCP platforms using Infrastructure as Code with Terraform for repeatable environments.
- Build CI/CD and GitOps-style delivery workflows to standardize deployments, reduce lead time, and improve change safety.
- Implement security guardrails (least-privilege IAM, key/secret management, logging, vulnerability scanning) to support compliance needs.
- Set up observability—metrics, logs, traces, SLOs, and alerting—to improve incident response and service reliability.
- Optimize spend and performance through rightsizing, autoscaling, committed use planning, and cost allocation/reporting.
- Plan and execute migrations to GCP with cutover runbooks, testing, rollback strategies, and post-migration stabilization.
- Troubleshoot production issues and improve operational maturity with runbooks, on-call practices, and automation.
- Enable your teams with hands-on training and working sessions so engineers can operate and extend the platform confidently.
