Operations | Monitoring | ITSM | DevOps | Cloud

September 2022

Create Alerts on Cloud Monitoring

Are you interested to know about alerts in Cloud Monitoring? Would you like to know how to create metric based alerts for Google cloud products through cloud monitoring? In this video we introduce you to Alerts in Cloud Monitoring, how it works, the different types of alerting policies. Watch this video to learn how to create metric based alerts for Google cloud products.

Introducing Cloud Logging - Log Analytics, powered by BigQuery

Logging is a critical part of the software development lifecycle allowing developers to debug their apps, DevOps/SRE teams to troubleshoot issues, and security admins to analyze access. Cloud Logging provides a powerful pipeline to reliably ingest logs at scale and quickly find your logs. Today, we’re pleased to announce Log Analytics, a new set of features in Cloud Logging available in Preview, powered by BigQuery that allows you to gain even more insights and value from your logs.

GitOps your service orchestrations

GitOps takes DevOps best practices used for application development (such as version control and CI/CD) and applies them to infrastructure automation. In GitOps, the Git repository serves as the source of truth and the CD pipeline is responsible for building, testing, and deploying the application code and the underlying infrastructure. Nowadays, an application is not just code running on infrastructure that you own and operate.

Analyze Pacemaker logs in Cloud Logging

As an SAP system administrator, you've probably asked yourself: why did my Compute Instance restart? Why did Pacemaker restart my instance? Why did/didn’t my SAP system failover? By streaming Pacemaker logs into Cloud Logging, you can now find the answers to these questions by using a Cloud Logging query template to filter out the noise generated by Pacemaker logs.

Introducing Kubernetes control plane metrics in GKE

An essential aspect of operating any application is the ability to observe the health and performance of that application and of the underlying infrastructure to quickly resolve issues as they arise. Google Kubernetes Engine (GKE) already provides audit logs, operational logs, and metrics along with out-of-the-box dashboards and automatic error reporting to facilitate running reliable applications at scale.