Operations | Monitoring | ITSM | DevOps | Cloud

Outages on the Internet always catch you by surprise, whether you are the end user or the Head of SRE or DevOps trying to keep a clear mind while you execute your incident playbook. As people in charge of ensuring reliable services for our customers, our normal experience of outages involves surfing a deluge of fire alarms and video calls as we work to solve the problem as quickly as we can. We often forget, therefore, what an outage means to the end user.

The world of cloud computing has been revolutionized by a solution called serverless computing. It has been an absolute joy for developers to use. Before this innovation, developers had to worry about the resources powering their code. Since the launch of serverless computing, the developer’s focus on operating-system and hardware architecture is now a thing of the past. It handles all the server management while focusing on what you do well — writing good quality code.

At Grafana Labs, we are continuing to build integrations that make it easier than ever to observe your systems, no matter which tools or software you choose. Today, we’re excited to talk about the latest integration available in Grafana Cloud: the AWS CloudWatch metrics integration, the first of our fully managed integrations that makes it simple to connect and visualize your data in Grafana.

Thinking about using Google Dataproc as your cloud vendor? We can see why. Google Dataproc is a powerful tool for analytics and data processing, but to get the most out of it you have to ensure you use it properly. We’re going to explore five best practices you can use to lower your Google cloud costs while maximizing efficiency: Following these tips will ensure the best performance and help keep your cloud costs in line.