Operations | Monitoring | ITSM | DevOps | Cloud

The Azure Functions team has yet again joined us for another monthly live webcast by staying remote and safe. In this live webcast, along with Jeff Hollan, Anirudh Garg and Sonia from Engineering team joined us to give a picture on the latest happenings in Azure Functions space. Without any further delay, let us jump in as there are tons of update are awaiting.

We’ve been monitoring 100,000’s of serverless backend components for 2+ years at Dashbird. In our experience, Serverless infrastructure failures boil down to: These isolated faults become causes of failure due to dependencies in our cloud architectures (ref. Difference of Fault vs. Failure). If a serverless Lambda function relies on a database that is under stress, the entire API may start returning 5XX errors.

Google, the original developer of Kubernetes, also provides the veteran managed Kubernetes service, Google Kubernetes Engine (GKE). GKE is easy to set up and use, but can get complex for large deployments or when you need to support enterprise requirements like security and compliance. Read on to learn how to take your first steps with GKE, get important tips for daily operations and learn how to simplify enterprise deployments with Rancher.

Are you currently dealing with complex and fast-changing Cloud & Container environments? If your answer to that question is yes, then you are probably looking for an easy solution that gives you complete control to make sense of all these fast and complex IT environments. In the dynamic world of microservices and containers, traditional monitoring solutions are no longer sufficient to provide needed visibilities to maintain healthy and happy environments.

Dashbird, a platform for serverless application monitoring, has raised $2.1 million in a seed round. The investment was led by Paladin Capital Group, with participation from Passion Capital, Icebreaker.vc and Lemonade Stand.

We recently wrote about why serverless applications fail and how to design resilient architectures. Being able to detect early-stage failure indicators can be invaluable. With proper monitoring, developers move from waiting for the system to crash and adopt a more proactive attitude in managing resource allocation and architecture design to avoid bottlenecks and performance degradation.

Work, education, and even many of our leisure activities have all moved on-line at an incredible pace due to current social distancing mandates. The digital backbone of the Internet and the SaaS services that drive our personal and professional lives are now foundational. Ensuring that these systems are operating optimally and securely is of paramount importance.

I recently joined Stackery from Puppet: a company that specializes in great automation software for the globe’s biggest enterprise IT operations teams. I had the privilege of learning from folks doing the best work of their life to automate the provisioning, configuration, and maintenance of infrastructure that enables teams of developers to move fast and make a difference for their business.