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Tips and Tricks to Maximize Your DevOps Pipeline

Flexagon

Enhancing your DevOps pipeline is a crucial part of optimizing the IT lifecycle. For instance, you’ll streamline workflows, cut production time, and improve inter-team communications—all effective ways to deliver better software. In DevOps, you want to integrate new code frequently.

DevOps 78
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FlexDeploy on JumpStart Demo Labs

Flexagon

Enterprises are adopting DevOps, Continuous Integration, and Continuous Delivery at an increasing pace. It allows them to create and improve software solutions (aka products) at a faster pace than traditional software development methods.

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4 Steps to Prepare Your Business for DevOps

Flexagon

More and more companies adopt DevOps every day to improve their output and better their internal communications. DevOps is now seen as a necessity for organizations to adopt in a fast-paced market that continues to emphasize rapid-fire, high-quality product development and release—and for good reason. The result?

DevOps 78
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IBM App Connect Enterprise Pipelines and Integration Nodes

Dzone - DevOps

With the current focus across the industry on containerization, it may seem like the older solutions such as integration nodes are almost deprecated, but this impression is wide of the mark and nowhere more so than in pipelines.

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Open and Extensible: The Core of FlexDeploy’s Philosophy

Flexagon

First and foremost, that means creating a first class DevOps platform. And very importantly, identifying the core use cases for software development and delivery, including toolchain integration, independent of the underlying tech or tool. New to DevOps and Pipelines? Enterprise Applications. Conclusion.

DevOps 78
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How to Achieve Effective Software Delivery with Test Automation

Flexagon

In a recent survey conducted by Pulse QA and Flexagon, 68% of 100 software delivery leaders worldwide stated that they had no or partial implementation of continuous testing within their CI/CD pipeline, while another similar survey showed that only 7% of applications typically perform with no issues once released into production.

Testing 88
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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. Request a Demo.