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.

Setting up Service Level Objectives (SLOs) is one of the foundational tasks of Site Reliability Engineering (SRE) practices, giving the SRE team a target against which to evaluate whether or not a service is running reliably enough. The inverse of your SLO is your error budget — how much unreliability you are willing to tolerate.