The true value of cloud investments emerges when teams can confidently build, deploy, and operate modern systems at scale. Legacy processes, siloed roles, and outdated skill sets limit the payoff.
Galvanize helps enterprises close this gap by training engineers, architects, and cross-functional teams to work fluently with cloud-native technologies, modern infrastructure, and automation practices.
Our programs blend immersive instruction with embedded coaching, enabling teams to apply new skills directly to real-world systems and backlogs. The result is scalable, resilient, and automated delivery pipelines that unlock the full potential of AWS, Kubernetes, and beyond.
We help enterprise engineering teams design, automate, and operate cloud environments that deliver speed, stability, and scalability. Our Cloud & Modern Infrastructure programs build the hands-on capability needed to modernize platforms and sustain transformation.
Technologies:
AWS · Azure · Google Cloud · Heroku · ROSA (Red Hat OpenShift Service on AWS)
We train teams to build, deploy, and manage workloads across major cloud platforms. Engineers learn to architect for scale, reliability, and cost efficiency – mastering services like EC2, Lambda, IAM, and Kubernetes. Programs emphasize multi-cloud strategy, automation, and best practices for secure, high-performing deployments.
Technologies:
Docker · Kubernetes · OpenShift · ROSA · Terraform · Helm · ArgoCD
We develop fluency in containerization and infrastructure as code (IaC), giving teams the tools to automate deployments and manage complex environments. From building containerized microservices to provisioning infrastructure with Terraform and GitOps workflows, teams gain the confidence to operate cloud-native platforms at scale.
Technologies:
GitHub Actions · GitLab CI/CD · Jenkins · Argo Workflows · Spinnaker
We help organizations implement and optimize CI/CD pipelines that accelerate delivery while improving stability. Engineers learn to automate builds, testing, and deployment across multiple environments, embedding DevOps best practices and reducing cycle time from commit to production.
Technologies:
Spring Boot · FastAPI · Node.js · gRPC · REST · GraphQL · Service Mesh (Istio, Linkerd)
We train teams to design and deploy distributed systems that are modular, scalable, and resilient. Through hands-on projects, participants learn microservice patterns, service mesh configuration, and fault-tolerant architecture design to improve agility and system uptime.
Technologies:
Prometheus · Grafana · ELK Stack · OpenTelemetry · PagerDuty · Datadog
We help teams instrument and operate systems with visibility and confidence. Engineers learn to monitor performance, trace distributed services, and respond to incidents effectively. By integrating observability into delivery workflows, teams improve reliability and shorten mean time to resolution (MTTR).
Technologies:
Terraform · AWS CloudFormation · Ansible · Vault · AWS IAM · Azure Security Center
We equip teams to manage infrastructure declaratively and securely. Participants learn to codify configurations, automate provisioning, and embed compliance into delivery pipelines, enabling secure-by-default cloud environments aligned to enterprise governance and DevSecOps principles.
A Fortune 500 technology firm had begun migrating to AWS but struggled to modernize its legacy applications and delivery workflows. Siloed teams, manual deployments, and inconsistent environments slowed progress and limited ROI from its cloud investment.
Galvanize led a modernization initiative focused on Red Hat OpenShift Service on AWS (ROSA). The program combined hands-on enablement in Kubernetes, containerization, and GitOps automation with embedded coaching to align platform and development teams. Engineers learned to deploy services through ROSA using Terraform, ArgoCD, and CI/CD pipelines built with GitHub Actions.
The results were transformative. Deployment speed improved by 60%, unplanned downtime dropped to zero, and collaboration between infrastructure and development teams accelerated product delivery. The organization achieved true cloud-native velocity by pairing platform modernization with disciplined engineering practice.
We start by understanding your cloud strategy, infrastructure stack, and delivery processes. Together, we define the future-state architecture, success metrics, and skills your teams need to design, deploy, and operate effectively.
We turn those objectives into competency-based curriculum focused on real-world application. Courses are tailored to your environments—whether AWS, Azure, Kubernetes, or hybrid—and tied to measurable on-the-job performance.
We deliver through blended learning, labs, and embedded coaching that integrate with live workloads. Teams learn to build, automate, and scale cloud systems using the same tools and pipelines they use every day.
We track impact against your KPIs, measuring improvements in deployment speed, reliability, and operational efficiency. Results are data-driven and repeatable, ensuring you capture ROI and scale success across teams and platforms.
Learn more about creating a cloud and infrastructure training program tailored to your systems, teams, and transformation goals.