![]() ![]() AWS CodeDeployĪmazon’s automated deployment tool, CodeDeploy, boasts an impressive list of featured customers and platform and language agnosticism. Purchased by IBM in 2013, UrbanCode automates the deployment to on-premise or cloud environments. You can install Octopus Deploy on a server or host an instance in Azure. Octopus Deploy is built with the intent of automating deployment for. Visual Studio allows users to define release definitions, run automation, track releases, and more. One of the cornerstones of Microsoft’s DevOps offerings is Visual Studio. ElecticFlow supports a number of plugins and Groovy-based DSL, CLI, APIs. ElectricFlowĮlectricFlow is a release automation tool that offers a free community edition you can run on VirtualBox. ![]() Jenkins forked from Oracle’s Hudson-CI in 2011 during a time when there were some public differences of opinion expressed amongst members of the developer community and Oracle. One of the leading Continuous Delivery (CD) and Continuous Integration (CI) tools on the market, Jenkins is an automation server with a high-level of extensibility and a large community of users. To help you get started, here is our list of 21 automated deployment tools you should know. Maximizing efficiency and shortening the feedback loop are vital to creating and maintaining a competitive edge. It's safe to say that there are compelling reasons to do your homework on automation. An Enterprise Management Associates research report indicates that companies in which Continuous Delivery frequency increased by 10% or more were 2.5 times more likely to experience double-digit (≥10%) revenue. The DevOps movement over the last few years seems to be strong empirical evidence for that statement - and the numbers seem to support it, too. The second is that automation applied to an inefficient operation will magnify the inefficiency.” The idea is that mainframe deployments can also benefit from single, enterprise-wide deployments based on integrated calendar slots.“The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. Soon we'll bring some of the legacy mainframe apps into the main cycle. Now most of our continuous, short term, fast track, and longer (1-2 month) release readiness, QA and production deploys into different regions have Clarive as a central piece, driving DB, kubernetes and application servers to deploy. It's crucial that such a tool have discovery for large sites that need to quickly reach and validate thousands of servers and VMs. We had some difficulty configuring the 3000+ servers in Clarive due to a lack of a discovery tool, apparently that feature will be coming out in a future release. Workflows, pipelines and scripts were easily converted into Clarive "rules" (automation flows) and we moved most departamental deep engrained knowledge into a shared catalog of services in the tool, like in the old itil days but updated to a more intuitive and simple to use. The good thing was that the clarive team did not overpromise and helped us keep expectations under control. ![]() Not all technologies could be integrated on the 1st interation due to missing details and other key factors required by a release automation and application delivery project of the sheer size and scope as ours, but it was definitely a good start. Clarive delivered a fully customizable product that fit the bill quite right and very little time. The idea was that our testing and key environment deploys became fully coordinated (I think they call that value-stream now, but we prefer the old "orchestration" terminology). We've used Clarive to deploy a cross-technology, fully orchestrated implementation of the bank's key DevOps processes to deliver applications. ![]()
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