In response to several corporate scandals, such as Enron, Worldcom, and Tyco, in the early 2000s congress enacted the Sarbanes-Oxley (SOX) act. The SOX act requires publicly traded companies to maintain a series of internal controls to assure their financial information is being reported properly to investors. In an IT organization, one of the main tenets of SOX compliance is making sure no single employee can unilaterally deploy a software code change into production. DevOps automation techniques and technologies, such as continuous integration (CI), continuous delivery (CD), and infrastructure as code (IaC), can appear on the surface to throw a shop out of SOX compliance. This blog post examines how DevOps automation can help organizations not only stay compliant, but actually increase their compliance.
The challenges of DevOps--a cultural change, learning new technologies, and making a big-picture impact for a software project team--are possibly even more challenging in contract work. In this blog post, I'll expand on some of my past experiences as a contract software developer and discuss, in retrospect, how DevOps could have worked in different scenarios.
Formal documentation (such as source code documentation, system requirements and design documentation, or documentation for various user types) is often completely ignored by development teams; applying DevOps processes and philosophies to documentation can help alleviate this problem. Software documentation tends to fall into several categories: code, requirement, design, system, and user documentation. One reason documentation is often ignored is that standard documentation tools and processes create an obstacle for development teams since the tools and processes do not fit in well with the suite of tools development teams rely on, such as version control, issue trackers, wikis, and source code. As a consequence of this mismatch, slow the velocity of development teams. This blog post explores three primary challenges to documentation--process, documenting source code, and system documentation--and explains how DevOps-based documentation allows all stakeholders to access a common, trusted source of information for project details.
Since beginning our DevOps blog in November, and participating in webinars and conferences, we have received many questions that span the various facets of DevOps, including change management, security, and methodologies. This post will address some of the most frequently asked questions.
In late 2014, the SEI blog introduced a biweekly series of blog posts offering guidelines, practical advice, and tutorials for organizations seeking to adopt DevOps. These posts are aimed at the ever-increasing number of organizations adopting DevOps (up 26 percent since 2011). According to recent research, those organizations ship code 30 times faster. Despite the obvious benefits of DevOps, many organizations hesitate to embrace DevOps, which requires a shifting mindset and cultural and technical requirements that prove challenging in siloed organizations. Given these barriers, posts by CERT researchers have focused on case studies of successful DevOps implementations at Amazon and Netflix, as well as tutorials on popular DevOps technologies such as Fabric, Ansible, and Docker. This post presents the 10 most popular DevOps posts (based on number of visits) over the last six months.
Container-based virtualization platforms provide a means to run multiple applications in separate instances. Container technologies can provide significant benefits to DevOps, including increased scalability, resource efficiency, and resiliency. Unless containers are decoupled from the host system, however, there will be the potential for security problems. Until that decoupling happens, this blog posting describes why administrators should keep a close eye on the privilege levels given to applications running within the containers and to users accessing the host system.
At a recent workshop we hosted, a participant asked why the release frequency was so high in a DevOps environment. When working with significant legacy applications, release may be a once-in-a-year type event, and the prospect of releasing more frequently sends the engineering teams running for the hills. More frequent releases are made possible by properly implementing risk mitigation processes, including automated testing and deployment. With these processes in place, all stakeholders can be confident that frequent releases will be successful.
This post is the latest installment in a series aimed at helping organizations adopt DevOps. Some say that DevOps is a method; others say it is a movement, a philosophy, or even a strategy. There are many ways to define DevOps, but everybody agrees on its basic goal: to bring together development and operations to reduce risk, liability, and time-to-market, while increasing operational awareness. Long before DevOps was a word, though, its growth could be tracked in the automation tooling, culture shifts, and iterative development models (such as Agile) that have been emerging since the early 1970s.
The first blog entry in this series introduced the basic concepts of multicore processing and virtualization, highlighted their benefits, and outlined the challenges these technologies present. This second post will concentrate on multicore processing, where I will define its various types, list its current trends, examine its pros and cons, and briefly address its safety and security ramifications.