Observe your most distributed Google Cloud environments out-of-the-box
Ingest any volume of logs and metrics without sacrificing cost or performance
Detect anomalies without the need for manual configurations
🤖 Meet OnCall AI, our observability copilot that makes troubleshooting easy. Read announcement.
Observe your most distributed Google Cloud environments out-of-the-box
Ingest any volume of logs and metrics without sacrificing cost or performance
Detect anomalies without the need for manual configurations
Ensure complete visibility into your Google Compute Engine VMs, Google Kubernetes Engine applications, and Serverless workloads.
Analyze logs and metrics at any scale – without going over budget or losing performance.
Detect health and performance issues at a glance across all your production workloads.
Want to try Edge Delta for yourself? Go from alert to resolution in our interactive demo.
Gain observability out of the box. Edge Delta provides pre-built dashboards and visualizations to help you hit the ground running.
Automate monitoring by using AI/ML to detect anomalies or other negative behaviors.
Simplify adoption across your organization. With Edge Delta, you don’t need to learn a complex query language or rely on expertise to resolve issues.
Edge Delta is a Google Cloud Partner. Our partner status recognizes our skills and demonstrated customer success on the Google Cloud Platform.
With Edge Delta, observability works out of the box. Get set up in a flash, end ongoing toil, and gain pre-built views that make monitoring easy.
Edge Delta is different from Google Cloud Monitoring in two main ways:
Architecture: Edge Delta’s distributed architecture processes your data as it's created at the source. By pushing compute upstream, Edge Delta enables you to right-size your data footprint and pre-sort the “needles” from your “haystack.”
Cost: Edge Delta is cost effective at scale – you can ingest logs and metrics for $0.20 per GB.
Edge Delta provides several pre-built integrations with AWS, including:
Google Cloud Compute and Kubernetes Engines (Inbound) to collect and pre-process telemetry.
Google Cloud Storage (Outbound) to store telemetry long-term.
Google Cloud Functions (Inbound/Outbound) to collect telemetry data or to trigger a function.
Explore all our integrations here.
Yes, you can route telemetry to Google Cloud Storage for long-term storage. This gives you a cost-effective option to maintain access to log data for compliance or other use cases.