Terraform, Python, Monitoring and observability tooling, Cloud architecture principles

cloud platform , Google Cloud Ptatform (GCP), open system , Devops, Linux, Docker, Terraform, Kubernetes, GCP Core Services, Container Platform, Technology, Google Cloud Storage

Servicenow, Cloud Storage, Load Balancing, Google Cloud Platform, Jira, Compute Engine, Storage Transfer Service, Vertex AI pipelines and instances, Cloud Build, API enablement and project quotas, Subnets and private IP allocation, Cloud SQL, Cloud Functions, Cloud Tasks, Cloud Logging and Cloud Monitoring, Google Kubernetes Engine, Cloud Scheduler, GCP projects and resource organization, IAM and service accounts, Cloud Pub Sub, Artifact Registry, Cloud Run and Cloud Run Jobs, Secret Manager, Firewall rules, Shared VPCs and dedicated VPCs

Infrastructure as Code (IaC), Gcp, Docker, Terraform, Azure, Kubernetes, AWS, Scripting, Devops, Automation, Generative AI, Ai, AKS, Azure AI, CI/CD pipelines, Application Modernization, Cloud-native technologies, Containerized applications

Backup And Recovery, Terraform, Cloud Security, Microsoft Azure, ITSM Processes, Cost Controls, AKS, Azure Monitor, Log Analytics, Azure Networking, Infrastructure as Code, Diagnostics, Azure Policy, Pim, rbac

Datadog, Prometheus, Cloudformation, Kubernetes, Python, Bash, Terraform, CI CD tools, serverless technologies, GitOps workflows, Stackdriver, GCP services

Elk, PowerShell, Prometheus, Bash, Grafana, MS SQL, Shell, Aws Rds, DevSecOps, Cloudwatch, Terraform, Pcf, Ansible, Oracle, Python, Azure DevOps, AWS, EKS

BigQuery, Linux, Helm, Kubernetes, Multi-tier application architecture, GKE, Pubsub, Jenkins pipeline, Microservices deployment, HPA, Pod scaling, GCP services