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Moving from DevOps to DevSecOps

Involving security early in the development process improves outcomes.

By Joey Barrett  and Jeff Ridgeley
|
February 18, 2021
Security, Software

The DevOps approach to software development is gaining great popularity with IT organizations. This approach, which places software developers and operations specialists side by side on project teams, creates flexibility, improves efficiency and results in reduced rework after code is deployed to production. The benefits of this collaborative approach are undeniable, but many organizations that have embraced DevOps are finding that their current approach pays insufficient attention to a critical component: cybersecurity.

Enter DevSecOps.

The DevSecOps approach to software development seeks to integrate the cybersecurity function into the DevOps model as an equal partner. When development teams do not include security professionals, they often find that the submission of their code for security reviews results in critical unexpected findings, resulting in costly rework and project delays.

Just as DevOps sought to build a collaborative culture between development and operations, DevSecOps seeks to extend the scope of that collaboration to include cybersecurity teams.

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Overcoming the Cybersecurity Skills Gap with Automation

Employing solutions that rely on artificial intelligence to complete repetitive tasks can reduce the burden on IT and security staff.

By Joey Barrett  and Jeff Ridgeley
|
February 16, 2021
Security, Digital Workspace

Let‘s face it: Cybersecurity teams are overwhelmed with work. There simply is not enough time in the day to perform all the high-value tasks they are responsible for, such as consulting with project teams, conducting risk analyses and developing strategic security plans. To make matters worse, security teams often find themselves consumed with time-sensitive and repetitive operational work. Anything they can do to reduce this burden increases their ability to add value to the organization.

Automation has the potential to help with this heavy lifting. Any time security teams find themselves performing work that requires following a repetitive process, it is likely that automation can play an important role in reducing the operational burden. In our work with CDW customers, we have found a few common areas where automation can help increase the efficiency and effectiveness of cybersecurity teams. Let’s look at a few examples.

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Manage Your Multicloud Environment for Long-Term Success

Effective oversight addresses culture and security while involving the right stakeholders at every step.

By Chris Gibes  and Tim Keating
|
February 4, 2021
Cloud

Before your organization gets too far into a multicloud environment — using some combination of hyperscale providers such as Microsoft Azure, Amazon Web Services and Google Cloud Platform, along with private clouds — it’s wise to develop a management strategy. Proper multicloud management supports long-term optimization and amplifies a DevOps culture, which is complementary to this strategy. As we discuss on the CDW podcast Simplifying DevOps, when multicloud and DevOps are deployed together, the whole is greater than the sum of its parts.

In general, organizations should take existing IT best practices and extend them to cloud platforms, adapting as necessary. The same security and resiliency objectives that apply elsewhere also hold true for the cloud, particularly given the shared responsibility model that governs public cloud arrangements. Beyond that, organizations should focus on four key areas.

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How to Improve Your Multicloud Strategy

Optimize multiple cloud environments with cloud-native design, portability, data gravity and input from your DevOps team.

By Chris Gibes  and Tim Keating
|
January 29, 2021
Cloud, Data Center

As organizations build multicloud environments, it’s important that they think strategically about guiding principles and capabilities. Multicloud may involve any combination of the major hyperscale public cloud platforms — Microsoft Azure, Amazon Web Services and Google Cloud Platform — or a hybrid that also includes private clouds.

For many organizations, multicloud works because it lets them use the provider that offers the best features, security, resilience or cost-effectiveness for a specific workload, without limiting them to a single option. Multicloud also facilitates the DevOps objective of providing rapid time to value for features or products. The ability to accelerate the frequency and quality of releases is a paramount goal of DevOps, and a well-maintained multicloud solution can help organizations achieve that objective.

Both multicloud and DevOps thrive on rapid-response flexibility, and that makes it essential to have a strategy that can guide important decisions.

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Open-Source Innovation: the Red Hat Story

Understanding the history of Red Hat helps frame what the company is doing today.

By Adam Ullrich  and Kate Fink
|
December 15, 2020
Software, Cloud, Data Center

Back when Red Hat started selling Linux, open source software was considered a radical notion in the technology world. Over the next decade, open source became more and more prevalent and essential to the DevOps industry, which itself has become a way to accelerate digital business innovation.

This blog post will cover some of the major milestones in Red Hat’s development and its relationship to DevOps.

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Mastering Your Data Center ‘Monster’

With Kubernetes taking hold in the data center, now is a good time to consider OpenShift.

By Jeremey Wise  and Mitch Krombach
|
December 7, 2020
Data Center, Cloud, Software

As IT organizations look to be more agile in supporting ever-changing business requirements, they’re turning to Kubernetes to speed up their delivery of value. However, with Kubernetes being an open source software, IT departments might have too many options for modernizing with this platform. Let’s use the fictional monster Frankenstein as an analogy to explore the challenges in building this modern framework.

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