Google Cloud recently introduced log scopes for Cloud Logging, aimed at improving how organizations manage and analyze their logs. This enhancement addresses the common challenge of finding relevant data from the vast amount of information in observability tools.
Joy Wang and Eyamba Ita, product managers from Google Cloud, elaborated on the log scopes in a blog post. Log scopes are defined as named collections of logs of interest that can span across different projects. They consist of groups of log views that control and grant permissions to subsets of logs within log buckets.
For example, an organization with two log buckets (A and B) containing multiple log views can create a log scope that consolidates specific log views from both buckets.
Log scopes complement metrics scopes, allowing users to define sets of correlated telemetry for their applications. The combination of log scopes and metrics scopes facilitates faster troubleshooting and more efficient insight gathering.
Log scopes are now available in the Google Cloud console, with a default log scope automatically created for every project. Users can create multiple log scopes as needed by navigating to any Cloud Observability page and selecting the Settings option in the left-hand navigation bar.
Source: Cut through the noise with new log scopes for Cloud Observability
Wang and Ita emphasized two main use cases for log scopes. The first involves correlating metrics with logs from the same application within a centralized log storage architecture. In this scenario, organizations that utilize a centralized project for log storage can establish dedicated observability views tailored to specific applications in their respective projects.
The second use case focuses on correlating metrics with logs across isolated environments in different projects. This approach enables the easy grouping of logs from various environments, such as development, staging, and production.
In other news related to Cloud Observability, SUSE recently launched its first cloud-based service called SUSE Cloud Observability. This service, developed using technology from their StackState acquisition, helps monitor Kubernetes clusters managed by Rancher across multiple cloud platforms. It comes with pre-set monitoring rules and visual dashboards to help users quickly understand their systems. There is a 60-days free access as part of the Early Access program.
Furthermore, Dynatrace partnered with Amazon Web Services (AWS) to integrate their monitoring tools with AWS's Application Migration service. This integration allows companies moving to AWS to automatically set up Dynatrace's monitoring system as soon as their applications start running on AWS. This gives users immediate insight into how their applications are performing in the cloud.
These developments underscore the growing importance of cloud observability in managing complex, distributed environments and the continued innovation in this space by various industry players.
In regards to Google Cloud observability, the introduction of log scopes represents a significant advancement, offering organizations more granular control over their log data and improving the efficiency of log analysis and troubleshooting processes. Our readers can follow the support documentation for a deep dive in Log Scopes.