Electric Cloud Releases ElectricDeploy
Electric Cloud Releases ElectricDeploy
Sunnyvale’s Electric Cloud is tackling DevOps with the release of ElectricDeploy, it’s new product that automates complex application deployments. According to the company, ElectricDeploy is built and integrated with it’s flagship tool, ElectricCommander.
From the announcement:
ElectricDeploy automates and standardizes application deployments across all environments - Dev, QA, pre-production and production by modeling applications, related environments, and processes that deploy and recover applications. This model-driven approach reduces the variability of deployments across multiple environments, enabling teams to reliably and more rapidly deploy applications. ElectricDeploy also provides centralized visibility and control of deployments, allowing teams to manage and track release processes across the application delivery lifecycle.
Over at SD Times, David Rubinstein talked to Electric Cloud’s Vice President of Marketing who explained why the company feels that DevOps is “an extension of agile development practices into operations.”
From SD Times:
“Agile is concrete, with a set of best practices and a set of tools and a set of ways of doing things that are well codified,” he said. “DevOps essentially extends agile to the ops world. If Dev runs at a certain speed, if Dev can code in 15-day Scrums and move the ball significantly forward, Ops needs to run at the same cadence, otherwise whatever value is being provided by Dev is being impeded by the last mile—which is Ops—because they’re not able to deliver this value to end customers and end users.
John K. Waters talks to Chris Schleicher, manager of Electric Cloud's software engineering group, over at Application Development Trends about Electric Cloud’s “model-driven approach.”
From Application Development Trends:
The company's new offering employs a model-driven approach, explained Chris Schleicher, manager of Electric Cloud's software engineering group, to automate and standardize app deployments across Dev, QA, pre-production and production. "It models the apps, the related environments, and the processes that deploy and recover applications," he said. "This approach reduces the variability of deployments across multiple environments. The result is, teams are able to deploy more quickly and more reliably, which is what people are telling us they want and need."

