Software Alternatives & Reviews

Google Cloud Monitoring

Gain visibility into the performance, uptime, and overall health of cloud-powered apps on Google Cloud and other cloud or on-premises environments.

Google Cloud Monitoring Alternatives

The best Google Cloud Monitoring alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

  2. A serverless platform for building event-based microservices.

  3. Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues.

    Try for free freemium $9.0 / Monthly (Lite plan)

  4. Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.

    Open Source

  5. Stackdriver provides monitoring services for cloud-powered applications.

    Open Source

  6. Reliable, resilient, low-latency DNS serving from Google’s worldwide network of Anycast DNS servers.

  7. Intelligent and complete API platform

  8. Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.

  9. Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.

    Open Source

  10. Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database.

  11. Google Cloud Endpoints provides the tools to develop, deploy, protect and monitor your APIs.

    Open Source

  12. Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

  13. A fully managed data warehouse for large-scale data analytics.

    Open Source

  14. Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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