Developers and operators on IT and development teams want powerful metric querying, analysis, charting, and alerting capabilities to troubleshoot outages, perform root cause analysis, create custom SLI / SLOs, reports and analytics, set up complex alert logic, and more. So today we’re excited to announce the General Availability of Monitoring Query Language (MQL) in Cloud Monitoring! MQL represents a decade of learnings and improvements on Google’s internal metric query language.

Having good observability is vital to the health of your cloud infrastructure and applications, and a key element to using that information effectively is being able to create dashboards with relevant metrics. Today we are announcing a new dashboard creation experience from Cloud Monitoring that allows you to generate a greater variety of visualization types, introduces better flexibility for dashboard layouts, and makes data manipulation easier so you can create dashboards that better fit your needs.

The events of 2020 have accelerated ecommerce, increasing demand for and traffic on online marketplaces. Analyst eMarketer predicts that ecommerce sales in the United States will grow 18% in 2020, against an overall fall in total retail sales of 10.5% for the year. Likewise, our business—Japan-headquartered consumer-to-consumer marketplace Mercari Inc—is growing rapidly. In the United States alone, we have seen 74% year-on-year growth in monthly average users to 3.4 million.

Many organizations aspire to become true, high-functioning DevOps shops, but it can be hard to know where you stand. According to DevOps Research and Assessment, or DORA, you can prioritize just four metrics to measure the effectiveness of your DevOps organization—two to measure speed, and two to measure stability.

Cloud Profiler is a favorite of Google Cloud customers thanks to the insight that it provides into the performance of your production code. You can use this knowledge to reduce and shorten outages, improve performance, and optimize compute spend—always a popular topic! Profiler has always provided the ability to view and compare CPU and memory performance over time through time filters and the comparison feature.

In Cloud Logging, we understand that logging is a critical part of what it takes for you to operate reliable applications and infrastructure on Google Cloud. We’ve added new features to help you more easily store, find and control your logs. Today, we’re announcing a new default logging experience: Logs Explorer. Previously known as Logs Viewer Preview, Logs Explorer provides new tools for you to better understand and analyze your logs during the troubleshooting process.

As you analyze your logs for application performance, infrastructure errors, system events, and more, sometimes you may need to look back to logs you were previously analyzing to help correlate events and identify the root cause of a problem. To help, we are excited to introduce Google Cloud Logging recent queries, to make it easy to track and run your past searches as you deep dive on your log data.

Over the past several months we’ve been focused on improving observability and operations workflows for Compute Engine. Today, we are excited to share the first wave of these enhancements are now available. These include: Significantly improved operating system support for the Cloud Monitoring and Cloud Logging agents. The ability to rapidly deploy, update, and remove agents to groups of VMs, or all of your VMs, by policy, with as little as a single gcloud command.

Cloud Monitoring has always provided comprehensive visibility and management into individual Compute Engine virtual machines (VMs). But many Google Cloud customers have hundreds, thousands, or tens of thousands of VMs that they need to manage. Cloud Monitoring now gives you zero-config, out-of-the-box visibility into your entire Compute Engine VM fleet, with quick access to advanced Monitoring features such as installing the Cloud Monitoring agent and configuring fleetwide alerts.

One of the most frequent questions customers ask is “how do I find this in my logs?”—often followed by a request to use regular expressions in addition to our logging query language. We’re delighted to announce that we recently added support for regular expressions to our query language — now you can search through your logs using the same powerful language selectors as you use in your tooling and software!