The new version of the Google logging client library for Go has been released. Version 1.5 adds new features and bug fixes including new structured logging capabilities that complete last year's effort to enrich structured logging support in Google logging client libraries. Here are few of the new features in v1.5: Let's look into each closer.

According to a recent CNCF survey, 86% of the cloud native community reports that they use Prometheus for observability. As Prometheus becomes more of a standard, an increasing number of developers are becoming fluent in PromQL, Prometheus’ built-in query language. While it is a powerful, flexible, and expressive query language, PromQL is typically only able to query Prometheus time series data.

We’re thrilled to announce the release of a new update to the Cloud Logging Library for Node.js with the key new features of improved error handling and writing structured logging to standard output which becomes handy if you run applications in serverless environments like Google Functions!

With Cloud SQL for SQL Server, you can bring your existing SQL Server on-premises workloads to Google Cloud. Cloud SQL takes care of infrastructure, maintenance, and patching so you can focus on your application and users. A great way to take better care of your application is by monitoring the SQL Server error log for issues that may be affecting your users such as deadlocks, job failures, and changes in database health.

Prometheus is considered the de facto standard for Kubernetes application metrics, but running it yourself can strain engineering time and infrastructure resources when your usage grows. In March, we announced the general availability of Google Cloud Managed Service for Prometheus to help you offload that burden, and today, we’re excited to announce a new low-cost, high-usage pricing tier designed for customers who are moving large volumes of Kubernetes metrics over to the service.

We’re thrilled to announce several new observability features for the Pub/Sub to Splunk Dataflow template to help operators keep a tab on their streaming pipeline performance. Splunk Enterprise and Splunk Cloud customers use the Splunk Dataflow template to reliably export Google Cloud logs for in-depth analytics for security, IT or business use cases.