Google Cloud Platform Monitoring and Observability with Logz.io

To get your monitoring data into Logz.io, choose from a variety of GCP integrations that best fit your use case:

GCP Integrations: Export your data from Google Monitoring and Google Logging to Logz.io (using Pub/Sub to stream GCP data to Logz.io)
Open-source technologies: Add easy-to-use open-source data collectors such as Prometheus, OpenTelemetry, Fluentd, FluentBit, or Telegraph to send your data to the Logz.io platform
Code libraries: Send data directly from your code with libraries in Javascript, Go, Python, and many other languages.

Integrate with your GCP services to monitor your infrastructure

The Logz.io platform makes it simple to track your cloud migration by correlating monitoring data with new deployments to see how changes impact your production environment. As new applications are deployed to the cloud, GCP users can collect monitoring data from their new cloud workloads and measure their health and performance.

Track performance during every step of your GCP cloud migration journey

It’s common for teams to leverage multi-cloud or hybrid environments, which often require multiple monitoring tools for these different workloads. However, this can create data silos and often lead to cloud migration challenges. Logz.io can unify the data from all of your environments into one place for analysis, whether it’s on-premises, GCP, or any other cloud provider.

Collect monitoring data from multi-cloud and hybrid environments

Search and visualize logs, metrics, and traces for full GCP observability:

See an overview of the health and performance of your distributed architecture and quickly drill into small details.
Monitor and set alerts for latency, resource saturation, errors, traffic, and other metrics.
Correlate your monitoring data to quickly investigate the root cause of production issues.

Full visibility into the state of your GCP workloads

It’s easier than ever to avoid paying huge amounts for data you don’t need with our built-in volume caps and hands-on data filtering. Assign specific users to each account and segregate your data further with granular RBAC – providing detailed visibility into your data volume and costs and aligning with compliance requirements.

Easily manage your data, costs, and teams

With the ability to filter out noisy data and seamlessly scale alongside your GCP workloads, Logz.io’s cloud-native architecture will always be able to meet your team’s needs. You’ll have constant visibility into the health and performance of your infrastructure and applications without any effort needed to scale your observability infrastructure.

Cloud-scale monitoring for your largest workloads