AI, or synthetic intelligence, is a generation that attempts to simulate human cognitive functions. AI has been introduced into the progression of software in several years. Check out the list of AI articles to expand your knowledge of AI.
Learn more
Observability is a way for an organization’s progression groups to visualize the prestige of their program. Failing to provide developers with information about their teams and processes can lead to unresolved bugs or even formula glitches. Check out the latest observability content here.
Learn more
In the past, the CI/CD pipeline was just a position for inserting code. Developers write their code on GitHub, push it through the pipeline, and then deploy it. The pipeline has a much more critical component of the software delivery lifecycle today.
Learn more
Modern, cloud-native programs leverage microservices, containers, APIs, infrastructure-as-code, and more to drive application progression and deployment.
Learn more
Sponsored by:
The pgEdge platform, the first fully distributed edge database based on the PostgreSQL standard, is now available
Learn more
Are TuringBots up to the challenge of autonomous AI testing?
Join Forrester’s Diego Lo Guidice to learn about the transformative power of AI in the software development lifecycle
December 6 at 10 a. m. CST
Register Here
Mobile app testing involves analyzing mobile apps for functionality, usability, visual appeal, and consistency across all mobile devices. They help ensure an optimal user experience, regardless of the device used to access the app.
Learn more
Today’s distributed software environments integrate a variety of APIs with each and every interface your software touches, from mobile to microservices. Every API deserves to be tested and verified frequently to make sure your software is performing as it deserves. Parasoft’s API testing platform makes it imaginable to meet those needs quickly, efficiently, and intelligently.
Learn more
Ensure your application’s resilience, and make sure your software performs as expected under diverse operating conditions. (sponsored by Parasoft)
Learn more
DevSecOps is the DevOps community’s strategy for incorporating security into the development lifecycle. Companies need to offer software, but they cannot release unreliable or insecure applications. Therefore, security needs to be built in much earlier than it is historically.
Learn more
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.
Learn more
In 2023, the number of “actively maintained” open source projects decreased by 18%, according to Sonatype’s annual State of the Software Supply Chain report.
Learn more
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
Learn more
Agile software progression has been around since the 1990s, but it only became known when the outstanding compilation of 17 famous software progression concept leaders in Snowbird, Utah, resulted in an Agile Manifesto. The idea of agile software progression is to reduce time-to-market by allowing for faster iterations of smaller software segments.
Learn more
Value stream control involves members of the organization reviewing workflows and other processes to ensure they are getting the most value from their efforts while getting rid of wasted resources, time, and assets. This is the practice that, in effect, combines the facets of business and IT as partners in creating prices for the organization.
Learn More
Learn more
DevOps is a method used in the software and IT progression industry. Used as a set of practices and tools, DevOps integrates and automates the progression paints of software and IT operations and shortens the progression lifecycle of systems.
Learn more
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).
Learn More
AI, or synthetic intelligence, is a generation that attempts to simulate human cognitive functions. AI has been introduced into the progression of software in several years. Check out the list of AI articles to expand your knowledge of AI.
Learn More
Value stream control involves members of the organization reviewing workflows and other processes to ensure they are getting the most value from their efforts while getting rid of wasted resources, time, and assets. This is the practice that, in effect, combines the facets of business and IT as partners in creating prices for the organization.
Learn More
The Scaled Agile Framework (SAFe) is a wonderful tool for building agile and efficient practices in a company. It provides an overarching architecture to align development, QA, and other purposes to produce faster workflow and functionality across the board.
However, a vital link is missing. To date, the SAFe framework has not incorporated reliability engineering, a function of growing importance in today’s application-driven economy.
Site reliability specialists concentrate on the operational infrastructure that is so critical to keeping sites and facilities up and running. They attempt to determine availability, latency, throughput, efficiency, replacement management, capacity planning, and a host of other points that influence service delivery and user experience.
So why is this vital feature rarely included in SAFe?The framework focuses more on formula progression and delivery than on the operational end of the spectrum where site reliability resides. But times are changing. Progressive corporations are shifting site reliability engineering to the left toward progression and delivery.
Moving to the left breaks this functional barrier. Places reliability specialists to work with progression and release groups to ensure quality of software lifecycle architecture and configuration. It also makes the most of underlying software engineering skills.
The benefits of a left turn can be significant. Your organization can better manage configuration changes, service levels, and error budgets. You can identify a continuous cycle of feedback and governance, from initial design and progression to launching and operating new services. And you’ll be able to improve and advance your agile and efficient goals.
At the point of application, team members will want to keep track of the solution of the issues they discover. At the formula point, they’ll want to evaluate readiness and functionality rather than the express goals of the point of service. At the point of business, they’ll want a holistic solution. Vision of reliability that covers all your formulas and services.
Fortunately, a new generation of answers is emerging for site reliability engineers as they transition to the left. These new platforms are designed for the task at hand and are powered by synthetic intelligence, device learning, and intelligent automation.
For example, the Broadcom BizOps platform includes a Threat and Release Status dashboard that provides proactive feedback on the new release before it goes live. Reliability engineers can temporarily identify disruptions and track corrective actions. Once a service is in production, an operations dashboard helps engineers track availability, reaction times, error rates, and more. It’s vital to note that the two panels interact so that your reliability team can correlate launch prestige knowledge with production knowledge and assess the quality of your launch prestige forecasts.
Ready to subscribe to SD Times, it’s just a click away!
Subscribe