Operations | Monitoring | ITSM | DevOps | Cloud

The use of Serverless execution models is expanding extremely rapidly and cloud providers are continuing to enhance their platforms. Per Flexera’s “State of the Cloud” report: Leading this trend for the last two years, Amazon has released a few features that address AWS Lambdas’ pain points and make them a more feasible choice for large scale deployments consisting of numerous applications.

We are happy to present the Serverless360 release update for Q1 of 2020. The first massive release for the Q1 in February 2020 included the most awaited Business Activity Monitoring along with dashboards for Logic App and Function App and few other useful enhancements. It is so encouraging to find Business Activity Monitoring meeting requirements of customers to attain end-to-end message visibility on their business workflow.

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.

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.

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.

Today, Stackery is announcing enhanced security and continuous integration and delivery (CI/CD) capabilities that enable teams to automate delivery best practices from laptop to production. With additional audit capabilities, scoped IAM permissions, and secrets management for automated verification and deployment pipelines, Stackery helps teams scale serverless usage and accelerate modernization and innovation projects.