Nearshore Cloud DevOps Services

DevOps combines software development and IT operations to accelerate delivery and improve reliability. It breaks down traditional silos so teams own applications from development through deployment and operations. The practice emphasizes automation, collaboration, and frequent releases with rapid feedback loops. For businesses, this means faster time-to-market, reduced deployment failures, improved system stability, and lower operational costs through automated workflows and infrastructure as code.

Azumo provides end-to-end DevOps services across AWS, Azure, and GCP, having built and managed cloud infrastructure for over 100 customers. Our services include CI/CD pipeline engineering (GitHub Actions, GitLab, Jenkins), cloud migration and modernization, infrastructure automation (Terraform, Ansible), container orchestration (Kubernetes, Docker), MLOps infrastructure for AI/ML workloads, and comprehensive observability solutions (Prometheus, Grafana, Datadog). We tailor every implementation to your technology stack, team structure, and business goals. We tackle your DevOps needs whether you need staff augmentation, dedicated teams, or project-based delivery.

Azumo is SOC 2 certified with nearshore teams located primarily across Latin America, providing time zone alignment with U.S. business hours. We specialize in AI/ML infrastructure and multi-cloud deployments, optimizing GPU workloads across hyperscalers (AWS, Azure, GCP) and cost-effective providers like Vast.ai, RunPod and others.

Yes. We optimize cloud costs through multi-cloud deployments, right-sizing compute and storage resources, implementing auto-scaling policies, and leveraging alternative GPU providers. Clients often see significant savings (up to 80% on GPU compute costs) by routing workloads to the most cost-effective cloud for each job. We also implement continuous monitoring to identify underutilized resources and provide recommendations for ongoing optimization. Our approach balances cost reduction with performance, reliability, and compliance requirements.

We build scalable, multi-cloud environments specifically designed for machine learning and GenAI workloads. Our MLOps implementations include automated training and inference pipelines using frameworks like Kubeflow, MLflow, and SkyPilot. We optimize GPU utilization across multiple providers to balance performance and cost, implement version control for model reproducibility, and set up comprehensive monitoring for model performance, GPU utilization, and inference latency. Our team's deep expertise in data engineering and AI/ML enables us to deliver production-ready MLOps solutions.

Azumo is SOC 2 compliant. We implement DevSecOps principles throughout the entire development lifecycle, including automated vulnerability scanning, secrets management, infrastructure-as-code security policies, and continuous compliance monitoring. Our pipelines integrate security checks at every stage from code commit to production deployment. We ensure your infrastructure meets industry best practices and regulatory requirements including HIPAA, PCI-DSS, and GDPR where applicable.

We track objective DORA metrics including deployment frequency, lead time for changes, mean time to recover (MTTR), and change failure rate. These provide transparent visibility into improvements in speed, stability, and quality. We also monitor infrastructure-specific KPIs like system uptime, resource utilization, cost per deployment, and incident response times. All metrics are shared with clients in regular reports and dashboards, allowing you to quantify the ROI of our DevOps implementations and identify areas for continuous improvement.

Implementation timelines vary by scope: a CI/CD pipeline typically takes 4-6 weeks, while comprehensive infrastructure modernization takes several months. Azumo We usually start with a pilot project to demonstrate value quickly before scaling. Azumo offers three flexible engagement models: Staff Augmentation (embed our engineers within your team), Dedicated Teams (a full team exclusively focused on your project), and Project-Based Solutions (fixed scope with defined deliverables). All models include ongoing support, continuous optimization, and transparent pricing. For North American customers, our nearshore teams in Latin America are typically 1-2 hours from U.S. time zones, enabling real-time collaboration throughout your business day.