Cloud Monitoring is one of the easiest ways you can gain visibility into the performance, availability, and health of your applications and infrastructure. Today, we’re excited to announce the lifting of three limits within Cloud Monitoring. First, the maximum number of projects that you can view together is now 375 (up from 100). Customers with 375 or fewer projects can view all their metrics at once, by putting all their projects within a single workspace.

Applications fail. Containers crash. It’s a fact of life that SRE and DevOps teams know all too well. To help navigate life’s hiccups, we’ve previously shared how to debug applications running on Google Kubernetes Engine (GKE). We’ve also updated the GKE dashboard with new easier-to-use troubleshooting flows. Today, we go one step further and show you how you can use these flows to quickly find and resolve issues in your applications and infrastructure.

People sometimes think that implementing Site Reliability Engineering (or DevOps for that matter) will magically make everything better. Just sprinkle a little bit of SRE fairy dust on your organization and your services will be more reliable, more profitable, and your IT, product and engineering teams will be happy. It’s easy to see why people think this way. Some of the world’s most reliable and scalable services run with the help of an SRE team, Google being the prime example.

A data center migration into the cloud is often a daunting business initiative that can take years as you transition your existing hardware, software, networking, and operations into a brand new environment. In our roles with Google Cloud’s Professional Services organization, we work side by side with customers to collaboratively architect and enable data center migrations into Google Cloud. Over the years, we’ve participated in multiple migration journeys, and devised a general approach.

Driving productivity of software development and delivery teams is critical for any organization. The six years of research by DevOps Research and Assessment (DORA) showcases the role easy-to-use tooling plays in driving this productivity and in turn a better work/life balance for the team. The research finds that highest performing teams are 1.5x more likely to have tools they consider easy to use.

One important aspect of managing a cloud environment is setting up financial governance to safeguard against budget overruns. Fortunately, Google Cloud lets you set quotas for a variety of services, which can play a key role in establishing guardrails—and protect against unforeseen cost spikes. And to help you set and manage quotas programmatically, we’re pleased to announce that the Service Usage API now supports quota limits in Preview.