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ElectricFlow Enhances Flagship DevOps Automation Platform

November 13, 2017

The ElectricFlow DevOps Automation platform now includes enhanced capabilities to better manage, deliver and report on applications in both microservices and zOS mainframe environments.

"Today's applications are complex – from mobile, distributed, cloud, microservices, to mainframe – often all at the same time," said Carmine Napolitano, CEO of Electric Cloud. "Delivering these applications smoothly and ensuring everything works together can cause a lot of anxiety and friction. The new functionality in ElectricFlow helps eliminate toolchain and process silos among these various groups. This means that mainframe teams can now fully participate in a company's digital transformation efforts. It also means it's both safe -- and easy -- for developers and downstream operations teams to adapt to and adopt modern technologies, like microservices."

Comprehensive Mainframe Integration

ElectricFlow support for mainframe goes beyond simple deployment to include native automation capabilities both pre- and post-deployment. In addition, mainframe users enjoy the full benefits of our pipeline governance and security to fully meet strict audit and compliance requirements. In addition, new Mainframe capabilities include:

•Exclusive system-level automation on z/OS, including JCL code and REXX

•Native WebSphere and DB2 deployments on Mainframe

•Integration with Compuware ISPW to extend DevOps practices to the Mainframe lifecycle

•Integration with Compuware Topaz suite to incorporate static code analysis, unit testing and functional testing in the Mainframe pipeline

•The unique ability to easily extend all the above to other Mainframe SCCM tools through a robust API and DSL

Natively Model and Deploy Microservices, Anywhere
ElectricFlow now provides teams more granular control over their microservices-based systems by creating a native microservices model. Treated as first-level objects, microservices can now be modeled independently of applications and environments, making it easier and more predictable to deploy containers either inside applications or as stand-alone, shared foundational components to any container runtime environment. Previous versions of ElectricFlow solved common container management problems, such as container-specific scripts and automation, and version dependency at runtime, especially with large container inventories. This version of ElectricFlow builds on top of that market-leading release coordination to make it even easier and more efficient to manage containers through to production.

In addition, a series of new plug-ins for deploying to native Docker environments, Docker Swarm, and Docker Enterprise further supports the goal of "Model Once, Deploy Anywhere."

As microservices are now a foundational element to digital transformation strategies, it's vitally important to have a complete view of where they are, how they are being deployed – and how successful these deployments are – in addition to other key pipeline performance metrics. ElectricFlow DevOps Insight now includes new dashboards, which highlight information about microservices deployments in a given time period, by environment and per cluster. The microservices dashboard can be broken down by successes, failures, most commonly deployed, which clusters are most heavily utilized, etc. In addition, DevOps Insight provides details on how many microservices were deployed by ElectricFlow vs. how many were deployed directly.

For over 30 years, Electric Cloud customer SOMOS used a mainframe to manage and administer over 41 million Toll-Free Numbers in the US and Canada. Recently, they decided to move off of a 30-year-old mainframe application.

"One of our many challenges was how to modernize and build a DevOps culture and environment for SOMOS while simultaneously moving to a microservices architecture," said Gary McKay, Scrum Master at SOMOS. "We chose Electric Cloud's ElectricFlow because of its support for both containerized and mainframe workloads, and because it can coordinate delivery of those workloads safely across all our development and production environments. The results have been stunningly positive."

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