Operations | Monitoring | ITSM | DevOps | Cloud

August 2020

Extended retention for custom and Prometheus metrics in Cloud Monitoring

Metrics help you understand how your business and applications are performing. Longer metric retention enables quarter-over-quarter or year-over-year analysis and reporting, forecasting seasonal trends, retention for compliance, and much more. We recently announced the general availability (GA) of extended metric retention for custom and Prometheus metrics in Cloud Monitoring, increasing retention from 6 weeks to 24 months. Extended retention for custom and Prometheus metrics is enabled by default.

High-resolution user-defined metrics in Cloud Monitoring

Higher resolution metrics are critical for monitoring dynamically changing environments and rapidly changing application metrics. Examples where high resolution metrics are critical include high volume e-commerce, live streaming, autoscaling bursty workloads on Kubernetes clusters, and more. Higher resolution custom, Prometheus, and agent metrics are now generally available, and can be written at a granularity of 10 seconds. Previously these metric types could only be written once every 60 seconds.

Getting started with Cloud Logging

Want to make sure that your cloud services are free from any vulnerabilities, threats, or errors that can make it unreliable? In this episode of Stack Doctor, we show you the new features in Google Cloud Logging, teach you how to navigate the new and improved Logs Viewer and build log queries, and give you an in-depth analysis of the Log Router. Watch to learn what’s new with Cloud Logging!

Bucket list: Better log storage and management for Cloud Logging

As more organizations move to the cloud, the volume of machine generated data has grown exponentially and is increasingly important for many teams. Software engineers and SREs rely on logs to develop new applications and troubleshoot existing apps to meet reliability targets. Security operators depend on logs to find and address threats and meet compliance needs. And well structured logs provide invaluable insight that can fuel business growth.

Debugging, distributed tracing, and profiling for web applications

Google Cloud offers many tools that can help you manage your application services. In this video, we teach you how to set up and utilize Cloud Trace, Cloud Profiler, and Cloud Debugger to collect latency data across different services, memory-allocation information, and inspect application code locations without compromising the performance of your web application.

21 new ways we're improving observability with Cloud Ops

We’ve heard from customers about how important it is to be able to reliably operate your applications and infrastructure running on Google Cloud. In particular, observability is critical to reliable operations. To help you quickly gain insight into your Google Cloud environment, we’ve added 21 new features to Cloud Operations, the observability suite we launched earlier this year, which gives you access to all our operations capabilities directly from the Google Cloud Console.

Getting started with Cloud Monitoring

Want to know how to utilize Cloud Monitoring in Cloud Console? In this episode of Stack Doctor, Yuri Grinshteyn shows you how to set up a simple web service and instrument it for both service health and infrastructure monitoring. Watch to learn how you can navigate Cloud Monitoring’s new integration into Cloud Console and gain better observability of your applications and infrastructure.