|By Marketwired .||
|July 22, 2014 09:26 AM EDT||
BOSTON, MA -- (Marketwired) -- 07/22/14 -- To provide better insight into the Continuous Delivery process for DevOps managers and end users, XebiaLabs today announced new features and enhancements to its XL Deploy and XL Release products. Included are updates to its dashboards and reporting functions designed to improve feedback on the entire software build and release process. XebiaLabs provides software delivery automation solutions to agile teams looking to speed time-to-market with their software production cycles.
XL Deploy and XL Release respectively provide plug-and-play application release automation, and enterprise release pipeline orchestration for DevOps and Continuous Delivery. Both are components of XL Platform, which also comprises XL Test for Agile test management and analysis, and XL Scale for on-demand provisioning and scaling of full environments.
What's New in XL Release
Configurable Value Stream Analysis
XL Release dashboards have been expanded to include a new, configurable Value Stream Analysis that automatically highlights areas of your pipelines and release processes that are prime candidates for improvement.
"One stop shop" view of release and Continuous Delivery pipeline performance
XL Release also adds a new dashboard that provides a "one stop shop" view of current release and pipeline performance, risk and efficiency.
Webhooks and more automation plugins
Several additional automation plugins including ServiceNow and Splunk, have also been added to XL Release. XL Release also now features new smart webhook support to quickly automate any target system with an HTTP or REST API.
What's New in XL Deploy
Easy configuration and integration with Cool Tech
Already designed to make it easy to add support for new middleware tools, the XL Deploy plugin API has gained additional extensibility by including a new, fully backwards-compatible, rule DSL on top of the existing plugin API. This makes it even easier to configure XL Deploy for your existing environment and extend it to support the latest and greatest "cool tech" in a couple of lines of XML, without coding.
Customizable views & dashboards
XL Deploy also includes a preview version of the new UI extension framework, which will allow users to seamlessly integrate their own views and dashboards into the user interface.
Tackle Configuration Drift
To solve common configuration drift problems in several types of middleware environments, XL Deploy now provides an additional set of advanced reports.
The reports feature smart container matching and attribute filtering designed to highlight what is important, avoiding the time spent running through thousands of irrelevant default properties.
The new feature can compare target environments directly and also tracks discrepancies between XL Deploy's repository and the live environment. As an added bonus, the report interface introduces the first HTML5 UI components to XL Deploy, based on the new UI extension framework.
XL Deploy already supports comprehensive, extensible discovery for WebSphere and other middleware, as well as comparison and versioning of all configuration items in its repository making it now the most advanced solution for configuration drift on the market.
"Continuous Delivery moves software builds in and out of production in an automated fashion," said Coert Baart, CEO. "These updates will improve flexibility and add insight into the entire process of CD, giving organizations more predictability and DevOps teams a better chance to effectively improve the CD process."
XebiaLabs is the fastest-growing, leading global provider of automation software for DevOps and Continuous Delivery helping companies to accelerate the delivery of new software. XebiaLabs' products provide the automation, efficiency and insight organizations need to meet the demand for faster software deployment cycles. Founded in 2008 and headquartered in Boston, XebiaLabs has a worldwide network of sales offices and partners. For more information, please visit www.xebialabs.com.
The essence of data analysis involves setting up data pipelines that consist of several operations that are chained together – starting from data collection, data quality checks, data integration, data analysis and data visualization (including the setting up of interaction paths in that visualization). In our opinion, the challenges stem from the technology diversity at each stage of the data pipeline as well as the lack of process around the analysis.
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