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.

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.

Cloud Computing Services like AWS, Google Cloud and Microsoft Azure are revolutionizing IT infrastructures at a rapid rate. However, businesses have not completely adopted Cloud services, and many of us are still running hybrid on-premise and cloud solutions. The GroundWork solution is to unify all monitoring, whether it be on-premise or in the cloud.

Ocean by Spot delivers a serverless container experience by managing the underlying cloud infrastructure. It automates the scale up/down and management of spot instances, reserved capacity and on-demand instances (as needed) within a cluster. Ocean accomplishes this with a fundamental construct called Launch Specification.

Often, when companies are new to Amazon Web Services (AWS), they aren’t focused much on the cost. They’re more likely fixated on taking advantage of the scalability and flexibility offered by the cloud. As a company’s AWS cloud infrastructure grows, it will find that its cloud costs grow as well. As the number of AWS accounts increases over time, there’s a higher chance of overspending on unnecessary cloud resources.