Continuous Integration more Popular than Continuous Delivery

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huhuhuuhhOne of the major reasons technology companies adopt DevOps involves striving for the Holy Grail of continuous delivery. This greatly improves software development efficiency, helping these firms better compete in the modern economy. A recent study, however, notes that larger enterprises actually leverage continuous integration when compared to CD.

Let’s take a closer look at the details of the study to see if any actionable insights exist to help your own development efforts. Is CI truly more impactful than continuous delivery? Perhaps adopting a mixture of the two makes more sense for software engineering shops?

CI more widely used than CD at Software Development Shops?

A recent study of nearly 6,000 developers by the Cloud computing provider, Digital Ocean, noted that 58 percent of the respondents currently use continuous integration. On the other hand, a fewer number – 45 percent – leverage continuous delivery. News about the Digital Ocean report appeared in late March at SD Times.

Of the surveyed companies not currently using either CD or CI, 43 percent said they planned on implementing one or the other. 26 percent felt that adopting either approach didn’t make sense for their organization. Still, it appears a vast number of businesses feel CD and/or CI is part of their current or future software development strategy.

The reasons why some of those companies remain uninterested in CD and CI vary. Some felt both practices were either too complex or too time-consuming to implement. Others simply felt it unnecessary considering their own company development workflow.

Companies adopting either approach noted a variety of benefits. Some respondents noted a more efficient code review and deployment process. The improved collaboration and smaller personal workloads typical of DevOps were highlighted by others. Of course, the ability to meet customer needs more quickly is another important perk.

Large Organizations increasingly prefer Continuous Integration

Two-thirds of the survey respondents from companies with over 1,000 employees currently use continuous integration. Developers from medium-sized firms noted use of CD and CI in a similar percentage. Digital Ocean commented on the details behind these survey findings.

“While only 45% of developers in organizations with five employees or less are using continuous integration, and only 35% are using continuous delivery (CD), developers report the likelihood of using these technologies increases with the size of the organization. This is somewhat intuitive as many of the benefits of these methods provide ways for groups of developers to work together. In large organizations with over 1,000 employees, 68% of developers report using continuous integration and 52% are using continuous delivery,” said the company.

In short, the collaborative benefits of DevOps and CI simply create additional efficiencies at larger companies. Still, even the smallest businesses still show an adoption rate of around 50 percent for both CI and CD. Putting in the effort to successfully implement either approach makes a lot of sense for any software development firm – no matter their size.

When taking into account the growing adoption rate of continuous integration and continuous delivery, any software engineering shop needs to consider their competition is likely using one or the other.

Keep coming back to the Betica Blog for additional news and insights from the software development world. As always, thanks for reading!

A Deep Learning AI Routine learns how to Code

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The end of April is nigh, which means another edition of our software development news digest. These intriguing stories hopefully provide a measure of insight to your own application engineering efforts. If interested in checking out last month’s digest, just click on the following link. Thanks for reading!

A Deep Learning AI Routine learns how to Code

AI and machine learning continue to make an impact throughout the technology industry. These innovations are found in everything from data analysis to self-driving automobiles. In a similar matter as with robotics, some professionals wonder if their jobs are going to be taken over by a computer in the next decade.

Recently a team at Rice University developed a deep learning routine actually able to write some code. The good news for current developers is the prime directive for this AI application involves helping software engineers more easily handle interfacing with poorly documented APIs. News about this AI innovation appeared earlier this week at Tech Xplore.

The application – called Bayou – performs a deep analysis of APIs in online source code repositories, like GitHub and others, attempting to learn about the API’s usage idioms. The application is focused on the Java language at this time. Swarat Chaudhuri, associate professor of computer science at Rice and one of the creators of Bayou, commented on the tool’s genesis.

“People have tried for 60 years to build systems that can write code, but the problem is that these methods aren’t that good with ambiguity. You usually need to give a lot of details about what the target program does, and writing down these details can be as much work as just writing the code. Bayou is a considerable improvement. A developer can give Bayou a very small amount of information—just a few keywords or prompts, really—and Bayou will try to read the programmer’s mind and predict the program they want,” said Chaudhuri.

Most notably, it analyzed millions of lines of Java code as part of its self-training process. If you want to try the application for your own purposes, just simply ask Bayou.

Fannie Mae makes Software more Secure with Lean

We’ve previously talked about the Lean methodology. Considered a variant of Agile, Lean actually grew out of the manufacturing world in an attempt to make operational processes more efficient. Now, mortgage lender Fannie Mae is leveraging Lean to make its software development process faster and more secure. News about their efforts appeared this week in CSO.

Since implementing Lean in 2013, Fannie Mae’s development cycle decreased by half. Working more efficiently allowed the software engineering team to subsequently make their applications safer from hackers and other nefarious agents. They also saved hundreds of millions of dollars over that time, according to company VP, Michael Garcia.

Writing safer code from the beginning is a core principle of Lean applied to software engineering. Other Agile techniques, like smaller increments and faster testing, improve overall efficiency. The company explored applying the principles Six Sigma to their development process, but ultimately felt Lean made a better fit.

Lean is definitely an Agile variant worthy of evaluation for larger software development shops. A more efficient process simply brings many advantages, including more secure applications and an increase in business value. Dive into the CSO article for a further exploration of the use of Lean at Fannie Mae.

Stay tuned to the Betica Blog for additional news and insights from the constantly evolving world of software development.