- Use of console logs and creation of metrics based on searches and/or data
- Use of alerts and proactive policies for cloud infrastructure
- Use of SLO and SLI metrics
- Use of tools and dashboards to monitor cloud resources
- Deployment of Cloud Functions and Cloud Run in QA and Production environments
- Management of VMs and cloud resources
- Use of Trace in GCP to track package performance
- Use of Pub/Sub in GCP for messaging across different communication platforms
- Administration of APIs in GCP
- Pipelines in Azure and AWS
- AWS for cloud applications
- CI/CD in Azure
- Use of Docker to manage images and their configuration in pipelines
- Integration of SonarQube for testing in Pull Requests and deployments
- Use of Grafana to build monitoring dashboards
- Use of JSON to build contracts and configurations in the cloud Functions
- Use of Python to build new cloud functions
- Use of SQL queries and BigQuery for daily queries and subsequent reporting
- Use of Power Apps / App scripts
- Creation of reports in Excel / Google Sheets
- Use of Looker Studio