AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
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Observability is a way for development teams in an organization to view their program state. Failing to provide developers with insight into their tools and processes could lead to unaddressed bugs and even system failures. Read about the latest observability content here
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In the past, the CI/CD pipeline was simply a place to integrate code. Developers would write their code in GitHub, pass it through the pipeline, and then deploy it. The pipeline has become a much more critical piece of the software delivery lifecycle today.
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Modern cloud-native applications, often leverage microservices, containers, APIs, infrastructure-as-code and more to enable speed in app development and deployment
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Data is the information that drives business. It can be structured in rows and columns, like a customer name, address, and phone; and it can be unstructured, such as an email or a social media post.
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Are TuringBots Up for the AI Autonomous Testing Challenge?
Join Forrester’s Diego Lo Guidice to learn about the transformative power of AI in the software development lifecycle
Dec 6th at 10am CST
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Mobile App Testing involves analyzing mobile apps for functionality, usability, visual appeal, and consistency across multiple mobile devices. It helps ensure an optimal user experience, irrespective of the device used to access the app.
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Today’s distributed software environments incorporate a variety of APIs with every interface your software touches, from mobile to microservices. Each API has to be continuously tested and verified to ensure your software functions as it should. Parasoft’s API testing platform makes quick, efficient, and intelligent work of such requirements.
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Ensure your application’s resilience, and make sure your software performs as expected under diverse operating conditions. (sponsored by Parasoft)
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DevSecOps is the DevOps community’s approach to bringing security into the development lifecycle. Businesses want to deliver software, but cannot afford to release unreliable or insecure applications— therefore security needs to be baked in much sooner than it has traditionally been.
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Securing an application is just as important as building it in the first place. As data becomes more valuable, there are more people who want to steal it and use it for their own personal gain. Making sure applications are indeed secure has always been a challenge, as hackers try to stay one step ahead of defenders.
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In 2023, there was an 18% decline in the number of open-source projects that are considered to be “actively maintained.” This is according to Sonatype’s Annual State of the Software Supply Chain Report.
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Development Managers need a different type of content than developers… They need to know what platforms, tools, trends, and issues they should be thinking about. SD Times delivers those unique topics here
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Agile software development has been around since the 1990s, but didn’t get the name until the famous meeting of 17 renowned software development thought leaders at Snowbird, Utah resulted in an Agile Manifesto. The idea behind Agile software development is to reduce time to market by enabling faster iterations of smaller segments of software.
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Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
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DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of software development and IT operations as a means for improving and shortening the systems development life cycle.
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Microservices define the latest iteration of a service-oriented architecture, under which applications are not written as a monolith but are built by joining discreet components — bits of functionality, called services — via application programming interfaces (APIs).
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AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
Learn More
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
Learn More
Microsoft announced Azure DevOps today with the introduction of new tools to help software development teams collaborate to deliver high-quality solutions faster. Azure DevOps was first revealed last year during Microsoft’s Connect():2017 conference.
The solution includes Azure pipelines, Azure Boards, Azure Artifacts, Azure Repos and Azure Test Plans.
“Working with our customers and developers around the world, it’s clear DevOps has become increasingly critical to a team’s success. Azure DevOps captures over 15 years of investment and learnings in providing tools to support software development teams. In the last month, over 80,000 internal Microsoft users and thousands of our customers, in teams both small and large, used these services to ship products to you,” Jamie Cool, director of program management for Azure DevOps, wrote in a post.
Azure Pipelines is designed to help with CI/CD initiatives and works with any language, platform, or cloud, according to the company. Azure Boards provides tracking capabilities, Kanban boards, backlogs, team dashboards, and custom reporting capabilities. Azure Artifacts features Maven, npm, and NuGet package feeds. Azure Repos includes unlimited cloud-hosted private Git repos. Lastly, Azure Test Plans is a planned and exploratory testing solution.
“Each Azure DevOps service is open and extensible. They work great for any type of application regardless of the framework, platform, or cloud. You can use them together for a full DevOps solution or with other services. If you want to use Azure Pipelines to build and test a Node service from a repo in GitHub and deploy it to a container in AWS, go for it. Azure DevOps supports both public and private cloud configurations,” Cool wrote.
According to the company, Azure DevOps represents an evolution in Microsoft’s Visual Studio Team Services. VSTS users will be upgraded to Azure DevOps with no loss of functionality. “The end to end traceability and integration that has been the hallmark of VSTS is all there. Azure DevOps services work great together. Today is the start of a transformation and over the next few months existing users will begin to see changes show up,” Cool explained.
Azure, Azure DevOps, cloud, Microsoft, VIsual Team Services, VSTS
Christina Cardoza is the News Editor of SD Times. She is responsible for the oversight of the daily news published to the website as well as the company’s weekly newsletter, News on Monday. She covers agile, DevOps, AI, machine learning, mixed reality and software security. She is an undeniable nerd who loves Marvel comics and Star Wars. On Follow her on Twitter at @chriscatdoza!
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