Monitoring Public Cloud
The goal is to provide one simple, valuable solution focused on collecting, searching, and analyzing traces across fully distributed architectures via cloud integrations.
At the core we strive to augment the data that comes from agent /SDK based monitoring (either Dynatrace OneAgent or third-party) with cloud-related context, as well as help with monitoring and troubleshooting those cloud components, that cannot be instrumented with agents. We integrate with cloud monitoring data sources (CloudWatch, Azure Monitor, GCP Monitoring) to grab metrics, logs, events, and traces and process them to be usable by our AI engine. Having all that we aim to provide single pane of glass for DevOps engineers, app developers and IT operations that are responsible for complex cloud architectures.
Tech Stack: Python, Serverless, Java, Azure Resource Manager, AWS CloudTrail, Azure Monitor, AWS CloudWatch, StackDriver, Azure, AWS, GCP, REST APIs (JSON and/or XML)
Currently we aim to:
- Deliver full coverage of Google Cloud Platform services monitoring
- Enable full Dynatrace AI support for all cloud metrics
- Provide Cloud Monitoring also as Dynatrace Extension