From cloud strategy and migration to CI/CD automation, Kubernetes, and 24/7 monitoring, every engagement is staffed by engineers who have run production infrastructure at scale, not just passed certification exams.
We assess your current infrastructure, define a cloud readiness score, and design a migration roadmap that matches your timeline and budget. Platform selection (AWS, Azure, or GCP) is driven by your workload profile and long-term goals, not vendor preference.
We have hands-on production experience across AWS, Azure, and GCP. Platform choice is driven by your workload, compliance requirements, and cost profile, not our comfort zone.
AWS is our most-deployed platform. Our certified AWS architects design with EC2, ECS/EKS, Lambda, S3, RDS, CloudFront, CodePipeline, and SageMaker, covering everything from serverless workloads to large-scale Kubernetes clusters. We use CloudFormation and the AWS CDK for IaC.
Azure is our choice for enterprises already in the Microsoft ecosystem. We deploy on Azure App Service, AKS, Azure Functions, Azure DevOps pipelines, and Cosmos DB, with ARM templates and Bicep for IaC. Azure AI services integrate directly with AI development workloads.
GCP is our platform of choice for data-heavy workloads and teams building on Vertex AI. We deploy on Compute Engine, GKE, Cloud Run, and Cloud Functions, with BigQuery for analytics and Cloud Build for CI/CD. Terraform is our standard IaC tool for GCP.
Real results from real infrastructure projects. Measured in deployment frequency, cost reduction, uptime, and lead time, not in slide decks.
Twice-a-month deployments, four engineers, and a weekend maintenance window: that was the manual process keeping this US SaaS company's infrastructure running on SSH access and hand-written runbooks, until two production incidents in six months started costing them customers.
We moved them to a full GitOps workflow with ArgoCD and GitHub Actions for CI/CD, containerized the application stack with Docker, migrated to Kubernetes on EKS, and rebuilt all infrastructure with Terraform. Monitoring went live with Prometheus, Grafana, and PagerDuty, with defined SLOs for each critical service path.
We have delivered production cloud infrastructure across 12+ industries. Deep domain knowledge means we understand your compliance constraints, your traffic patterns, and your data sensitivity before architecture begins.
Six phases from infrastructure audit to ongoing optimization. Each phase has defined deliverables you can hold us to, not just activities.
We audit your existing infrastructure, identify bottlenecks and security gaps, assess your cloud readiness, and define the business objectives and KPIs your new infrastructure needs to deliver.
We design your cloud architecture covering networking, compute, storage, and security. Every design decision is weighed against scalability, disaster recovery, compliance requirements, and a projected cost model.
We provision all infrastructure using code: Terraform, CloudFormation, or Pulumi. Every environment is version-controlled, repeatable, and consistent across dev, staging, and production from day one.
We build your automated build, test, and deploy pipeline with code quality gates, security scanning, and automated test integration. Every commit is validated before it touches production.
We execute the cloud migration (if applicable), deploy your applications, and configure monitoring and alerting. Production goes live with a tested rollback plan and live runbooks in place.
Post-launch we run ongoing observability, cost optimization reviews, performance tuning, and incident response. You get visibility dashboards and a named point of contact, not a ticketing system.
These are the reasons engineering leaders trust us with their infrastructure, and why they stay after the first project.
Our engineers hold certifications across AWS, Azure, and GCP. We recommend the right platform for your specific workload profile, cost constraints, and compliance requirements, not the one we happen to be most comfortable with. Multi-cloud and hybrid cloud architectures are standard practice, not special engagements.
We integrate AI-powered monitoring, predictive scaling, and intelligent anomaly detection into your DevOps workflows. From AIOps platforms that reduce alert fatigue to MLOps pipelines for deploying and monitoring AI models in production, we build infrastructure that learns and adapts.
Every environment we build is codified, version-controlled, and repeatable. No manual server configuration, no configuration drift between environments, and no single-engineer knowledge silos. When something goes wrong at 2am, the runbook is in the repo.
DevSecOps practices run through every engagement: automated security scanning in CI/CD pipelines, IAM policies applied at provisioning, encryption at rest and in transit, and vulnerability assessments before production releases. We design for HIPAA, GDPR, SOC 2, and PCI DSS from the architecture phase.
We track the four DORA metrics (deployment frequency, lead time for changes, mean time to recovery, and change failure rate) from your baseline through each sprint. You see the ROI in concrete numbers, not in vague promises about "improved agility."
Proactive monitoring means we see problems before your users do. Our L1/L2/L3 support tiers are staffed around the clock with defined SLAs for each severity level. Incidents get a named engineer, not a queue.
Production-proven tools across cloud platforms, containers, CI/CD, IaC, monitoring, security, and databases. No proprietary wrappers, no vendor lock-in.
We integrate AI-driven monitoring, predictive scaling, and intelligent anomaly detection into your DevOps workflows: AIOps for incident response, MLOps for deploying and monitoring AI models in production.
Explore Our AI Development ServicesWe went from deploying every two weeks to twice a day. The CI/CD setup was clean enough that our dev team just adopted it without any real friction, and the Kubernetes migration after that cut our infra costs by 38% in the first quarter.
We'd had a pretty painful failed migration attempt with another vendor before we brought Avenotech in. They ran a full infrastructure audit in about two weeks, found the actual root cause of three production incidents we'd been dealing with for months, and had a working Terraform-managed environment ready ahead of schedule.
We were spending $55K a month on cloud and honestly nobody could really tell you where it was all going. Avenotech audited it, put proper tagging in place, rightsized our instances, moved what made sense to reserved pricing. Same workloads, we're at $31K a month now, and we've finally got dashboards that show exactly where every dollar goes.
Pick the engagement format that matches where you are, whether you need a one-time infrastructure build, ongoing DevOps capacity, or fully managed 24/7 cloud operations.
A defined scope with a fixed timeline and budget. Ideal for one-time cloud migrations, CI/CD implementations, IaC setups, or security audits where the deliverables and acceptance criteria are clearly defined upfront.
Cloud migrations, CI/CD setup, IaC implementationA team of DevOps and cloud engineers embedded with your product teams, attending standups, managing your infrastructure, and building automation continuously. Your team ships; we keep everything running and improving.
Ongoing product teams needing full-time DevOps capacity24/7 infrastructure management, monitoring, incident response, and ongoing cost optimization on a monthly retainer. You focus on product; we keep the infrastructure running, secure, and efficient.
Companies without in-house DevOps who need 24/7 coverageWe build security-first cloud architecture that meets your compliance requirements from day one. Every infrastructure design is validated against the relevant standards for your industry, not retrofitted before an audit.
Cloud and DevOps costs split into two buckets: service fees (what you pay us) and infrastructure costs (what you pay AWS, Azure, or GCP). We only control the first. Service costs depend on scope: a one-time migration has a defined budget, while ongoing managed services are a monthly retainer. The biggest variables are your current infrastructure complexity, the number of environments and accounts, compliance requirements, and the level of monitoring and support coverage you need.
Offshore development through Avenotech typically reduces DevOps service costs by 50–70% versus equivalent US or UK DevOps teams, while maintaining the same tooling, quality standards, and communication cadence. We provide a detailed, itemized estimate after a discovery call, at no charge and with no obligation.
| Engagement Type | Scope | Estimated Cost | Timeline |
|---|---|---|---|
| Cloud Assessment & Strategy | Infrastructure audit, architecture design, roadmap | $10,000 – $30,000 | 2–4 weeks |
| CI/CD & DevOps Setup | Pipeline automation, IaC, containerization, monitoring for one product | $25,000 – $80,000 | 1–3 months |
| Full Cloud Migration | Migrate existing infrastructure to cloud with zero-downtime strategy | $50,000 – $200,000+ | 2–6 months |
| Managed Cloud & DevOps | 24/7 monitoring, optimization, support, incident response | $5,000 – $20,000/month | Ongoing |
Cloud infrastructure costs (your AWS, Azure, or GCP bills) are separate from the service fees above. We provide cost projections for your cloud spend as part of the architecture design phase so there are no surprises after go-live.
Straight answers to the questions CTOs and engineering leads ask most. No jargon, no evasive estimates.
Cost depends heavily on scope. A cloud strategy assessment and architecture roadmap runs $10,000–$30,000 over two to four weeks. A full CI/CD and DevOps setup for a single product, including IaC, containerization, and monitoring, typically costs $25,000–$80,000 over one to three months. A full cloud migration of existing infrastructure ranges from $50,000 to $200,000+ depending on workload complexity and compliance requirements, taking two to six months. Ongoing managed cloud and DevOps services run $5,000–$20,000 per month depending on coverage level and team size. See the pricing section above for the full breakdown, or contact us for a custom estimate based on your specific infrastructure.
We work with Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Our engineers hold certifications across all three, which means we recommend platforms based on your workload, compliance requirements, and long-term cost profile, not familiarity. We also support multi-cloud and hybrid cloud architectures where workloads span more than one provider.
Infrastructure as Code means managing your servers, networks, databases, and cloud resources through code rather than manual configuration. Tools like Terraform, Pulumi, and AWS CloudFormation let you version-control your infrastructure the same way you version-control application code. The benefits are concrete: environments are repeatable (dev, staging, and production match exactly), configuration drift is eliminated, changes are peer-reviewed before they go live, and disaster recovery becomes a matter of running a script rather than rebuilding from memory at 3am.
Simple workloads (a few applications, no compliance requirements, clean dependencies) can migrate in four to eight weeks. Mid-complexity migrations involving multiple services, database migrations, and some re-platforming typically take three to four months. Enterprise migrations with hundreds of workloads, strict compliance requirements, and zero-downtime constraints run two to six months. We use a phased approach: migrate and validate in stages rather than attempting a big-bang cutover, which reduces risk significantly and lets your team continue shipping during the migration.
Yes. We integrate CI/CD pipelines with your existing repositories and workflows: GitHub Actions, GitLab CI, Jenkins, CircleCI, and ArgoCD are all tools we use regularly. The pipeline wraps around your existing codebase without requiring application rewrites. We add automated testing integration, security scanning (dependency checks, container image scanning, SAST), code quality gates, and deployment automation. Most teams see their deployment frequency increase from weekly or biweekly to multiple times per day within the first sprint after setup.
Security enters the design process before a single resource is provisioned. We implement IAM policies with least-privilege access, encrypt data at rest and in transit, scan container images for vulnerabilities in every CI/CD run, and segment networks to limit blast radius if one component is compromised. For regulated industries, we design specifically for HIPAA (healthcare), GDPR (EU data), SOC 2 (service organizations), and PCI DSS (payment processing). We also document the controls implemented so your team has audit-ready evidence at any time.
DevOps is a culture and set of practices that brings development and operations teams closer together, emphasizing collaboration, automation, and fast, reliable software delivery. SRE (Site Reliability Engineering) is a more prescriptive, engineering-heavy approach to reliability, originating at Google. SRE teams define SLIs (service level indicators), SLOs (service level objectives), and error budgets, treating reliability targets as engineering constraints. In practice, the approaches are complementary: DevOps gives you fast, automated delivery; SRE ensures you ship reliably without burning your error budget. We apply both in our engagements.
Yes. Cloud cost optimization is one of our most requested standalone engagements. We audit your current spend, identify idle and underutilized resources, rightsize instance types based on actual usage data, move predictable workloads to reserved or savings plan pricing, optimize storage tiers, and implement cost allocation tagging so you know exactly which team or product owns each dollar of spend. Our clients see an average reduction of 25–40% on their existing cloud bills. We also set up ongoing FinOps processes so savings compound over time rather than eroding as teams spin up new resources.
Yes. Our managed cloud service includes 24/7 infrastructure monitoring with proactive alerting and defined SLAs per incident severity: P1 incidents (production down) get a response within 30 minutes at any hour. Support tiers are structured as L1 (triage and escalation), L2 (infrastructure resolution), and L3 (architecture-level problem solving). Every client gets a named point of contact for their account, not a generic support queue.
We use AI in DevOps across several areas: AIOps platforms for intelligent alert correlation and anomaly detection (reducing alert noise by 60–70% in our experience), predictive autoscaling that anticipates load spikes before they occur, ML-powered log analysis that surfaces root causes faster than manual inspection, and MLOps pipelines that automate the deployment, monitoring, and retraining of AI models in production. If your product team is building AI features, we ensure the infrastructure supports model versioning, A/B testing, drift detection, and automated retraining at the infrastructure level.
We offer three formats. Project-based engagements cover one-time setups (a migration, a CI/CD implementation, an IaC build) with fixed scope, milestones, and a handover package. Dedicated DevOps team gives you two to six engineers embedded in your product teams on a monthly basis, attending your standups and sprints. Managed cloud and DevOps is a 24/7 managed service covering monitoring, incident response, cost optimization, and ongoing automation on a monthly retainer. Most clients start with a project engagement and move to dedicated or managed once they see the quality of output.
Yes. We assess and integrate with whatever you already have: existing cloud accounts, repositories, CI tools, monitoring stacks, and security platforms. We do not require clients to rip and replace working tools. Our job is to improve what you have, fill gaps, and build automation around your existing workflows. Where tools are genuinely limiting your progress, we make that case clearly with data. We do not push vendor changes to generate billable migration work.
From cloud migration to fully automated CI/CD pipelines, let's build infrastructure that scales with your business. Free cloud assessment, no obligation. We'll review your current setup and give you an honest picture of what's possible.
