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portfolio Agile Portfolio Management—A Preferred Approach When Investment Dollars Shrink

As you adopt Agile principles it is important to understand the critical difference between Agile Project Management and Agile Portfolio Management—and that you can have one without the other.

Matthew Muldoon's picture Matthew Muldoon
Making Big Data Agile

Big data is defined as web-scale, large quantities of data ranging to several TeraBytes (TB) or PetaBytes (PB). Big data is inherently difficult to manage due to its sheer size and free format, which is best summarized by the three Vs (volume, velocity, and variety). 

Deepak Vohra's picture Deepak Vohra
What Makes SaaS, Agile, and DevOps a Powerful Combination?

Companies unleash their true potential in today’s ever-changing, constantly evolving world through digital transformation. Implementation of cloud-based Software as a Service (SaaS), when combined with Agile methodology and DevOps, represents a strong value proposition

Sunil Tanuku's picture Sunil Tanuku
Lessons as a Proxy PO

Sometimes a challenge can be turned into an opportunity. When our team learned that the business needed to pull their popular Product Owner to focus on another team, a sense of panic set in. There would be a job search that could and did take months. Who would help the team on their path to creating value in the interim? How would we operate? Over time, what seems to be a negative turn of events was turned upside down. 

Vic Bartash's picture Vic Bartash
Infinity sign made out of code 5 Tips to Take Your DevOps Pipeline Beyond the Basics

The goal of a DevOps pipeline is to create a continuous workflow that includes the entire application lifecycle. But too often, people focus only on the tools and automating everything, not stopping to think whether their processes could further improve performance and efficiency. Let's look at some common challenges to continuous delivery and then learn five tips for refining your DevOps pipeline and taking it to the next level.

Gilad David Maayan's picture Gilad David Maayan
A Primer on Continuous Testing

Continuous testing shortens feedback loops through automated testing that occurs throughout the development lifecycle—hence "continuous." Testing and QA become the responsibility of everyone working on the software, not just testers. Let's look at some proven practices from organizations that have used continuous testing effectively to realize tangible benefits.

Vasudevan Swaminathan's picture Vasudevan Swaminathan
Kubernetes logo Using Kubernetes for Container Orchestration in DevOps

Containerization has replaced virtual machines to a great extent because containers are lightweight and make efficient use of the OS kernel. Docker’s efficient nature helps with software development, testing, delivery, and deployment in a DevOps environment, and all the benefits of Docker also apply to Kubernetes. Let’s explore some of the additional agile and DevOps benefits you can gain by using Kubernetes.

Deepak Vohra's picture Deepak Vohra
Colorful gears 5 Reasons Enterprise Test Automation Is So Challenging

Most organizations understand that test automation is essential for modern application delivery processes. They’re just not sure how to make it a reality in an enterprise environment without exorbitant overhead and massive disruption. Enterprise organizations typically achieve small victories, but the process ultimately decays due to challenges in five main areas. Understanding these challenges will help us overcome them.

Wolfgang Platz's picture Wolfgang Platz
Hand placing block in row of blocks with left arrows Fitting In Regression Testing by Shifting QA Left

Fixing a bug in one area of the software may break something in another area. To detect whether defects have been introduced, we need to perform regression testing—executing certain test cases again to see whether a change has affected other existing features. But how do you make time for another testing cycle prior to every production release? You need to get QA involved earlier in the software development lifecycle.

Shuja Naqvi's picture Shuja Naqvi
Rubik's cube being solved A Tester's Role in AIOps

“AIOps” stands for “artificial intelligence in IT operations,” or using machine learning and data science to solve IT problems. AI can help with many IT functions, including detecting and remediating outages, monitoring availability and performance, and IT service management. Like with DevOps, a tester plays an important part with AIOps—they just have to determine what that is.

Bhavani Ramasubbu's picture Bhavani Ramasubbu

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