Published By: CheckMarx
Published Date: Apr 03, 2019
As new code deployments accelerate through wider adoption
of DevOps methodology, maintaining software security is
crucial to you and your customers. Is your software security
program up to the challenge? If you’re not getting the most out
of your software security program, our security experts may be
able to diagnose your difficulties. We’ve created a list of specific
recommendations on how to improve your program for better,
faster results. We present to you “How to make your software
security program successful: 10 Essential Best Practices.”
Published By: Trifacta
Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data.
Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018.
In this recorded webinar you will learn:
• Where does data preparation fit within DataOps
• What are the key technical & business differentiators of data preparation solutions
• How to align the righ
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline?
Download your copy of Driving DevOps Success With Data to learn:
How machine data can optimize your application delivery
The four key capabilities DevOps teams must have to optimize speed and customer satisfaction
Sample metrics to measure your DevOps processes against
Published By: Tricentis
Published Date: Mar 13, 2018
Hitting your go-to-market timelines depends on quality testing completion and approval.
Whether your organization still employs a waterfall model or has adopted the DevOps or agile
methodology, testing has the final say in acceptance for software launch. Metrics shared
between testing and other stakeholders can reduce bottlenecks and help your team reliably
hit delivery dates with exceptional quality.
There has been growing buzz about DevOps. DevOps is a methodology that unites the often separate functions of software development (Dev) and production and operations (Ops) into a single, integrated, and continuous process. DevOps is about breaking down the barriers between Dev and Ops. It leverages people, processes, and technology to stimulate collaboration and innovation across the entire software development and release process.
Dev and Ops should always be part of an integrated process, but that’s not always as easy as it sounds. You may be stuck in what we call “Dysfunction Junction.” Read this eBooklet to learn about the pitfalls of DevOps, how you can avoid them, and how to get started on your DevOps journey.
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