Webinars

Recorded Event:
 A unified testing solution can serve DevOps teams with greater effectiveness. It is also key to achieving continuous testing. But to get there, your solution must be built upon the following four pillars:

– Streamlined test creation and maintenance.

– Scalable test execution within the pipeline.

– A stable and secure lab within the cloud.

– Smart test analysis and reporting.

Attend this webinar to learn what each of these pillars provides, why DevOps teams need a unified solution, and how continuous testing enables organizations to keep pace with today’s software development and delivery.

Webinars

RECORDED EVENT:

Predictive analytics is now the #1 feature on application roadmaps. Developers of all skill levels are creating predictive algorithms and making headway on new projects in their spare time.

Fortunately, you don’t have to be a data scientist to get started with predictive analytics. Join this webinar to get a quick-and-dirty guide to predictive analytics from Sriram Parthasarathy, the senior director of predictive analytics at Logi Analytics.

Webinars

Recorded Event:
Open source components form the foundation of modern applications, but ineffective open source risk management can lead to security breaches that negatively affect your business and damage your brand. The Open Source Security and Risk Analysis (OSSRA) report examines trends in open source usage and risk management practices based on the audits of more than 1,200 codebases.

Webinars

RECORDED EVENT:
As applications are being redesigned into microservices for a composable architecture – primarily driven by agility needs for faster evolution – a key thought line that evolved is the need for separation of state and business logic. What is missing in this thought line, however, is a clear understanding of the nuances of this separation.

In this brief session, we will discuss key considerations when choosing a data architecture to support your journey into a composable architecture built on a microservices foundation.

Webinars

Recorded Event: Organizations want to adopt artificial intelligence to speed up testing, and free humans from mundane tasks, but unlike other industry initiatives, you can’t simply download a tool and have it work. Real AI has real benefits, but it takes time to realize them. Feeding the system data and then training it to learn are among the first steps needed to get there.

Webinars

RECORDED EVENT:

While Low-Code development platforms are still in the early stages of adoption, many enterprise leaders are already pigeon-holing them — and may be missing out on their greatest potential. While these platforms can unquestionably help enterprises relieve the development backlog, reduce costs, and improve efficiency, that’s just the beginning of the story. The real hero of the low-code epic: the limitless transformation of the customer experience.

White Papers

The rise of agile and mobile has fueled digital transformation across every industry, which has given rise to internal efficiency-focused initiatives like DevOps. With the prominence of mobile-first strategies within digital businesses, the speed and complexity of mobile create challenges for organizations looking to secure the data handled by mobile apps. If you are on the journey to secure DevOps for your mobile apps, this ebook is for you.

White Papers

Noted SQL Server MVP and founding editor of SSWUG.org Stephen Wynkoop addresses the challenges of achieving quality data, the negative effects of poor data quality on your business, and the importance of the single customer view (SCV) to an effective data quality regimen. Wynkoop explores different data quality implementations in SQL Server, citing Melissa’s unique survivorship approach. Learn more.

White Papers

One of the challenges teams face when transitioning to continuous testing within DevOps is the oversimplification found in many models. These often underestimate the effort and time required. For new projects and small teams, you can begin with a pure agile approach, utilize the best new tools, and glory in the lack of technical and process debt.

Among the tips you’ll learn about in this whitepaper are:
  • Create a pipeline blueprint
  • Leverage the cloud
  • Start small, but start now
  • Embrace automation
Download this whitepaper to get more details about creating a test automation strategy.

White Papers

Organizations – and developers – need to innovate to stay competitive, and with release schedules shrinking all the time, it’s more likely that a business-threatening bug might slip through to production. 

Successfully implementing CT, which aims to avoid business-killing software failures, depends on continuous alignment between people, processes, and technology in the organization. Each of these three are essential elements to a properly functioning CT organization. 

Download this whitepaper to learn more about these elements, as well as how to develop a five-step plan for building your CT foundation.

White Papers

Today’s applications are architectured to work on hybrid, componentized, containerized, distributed, mobile/sensor environments, and so do the networks that sustain all these applications together. Complexity, traffic volume, intolerance to performance degradation and inefficiency will only increase, demanding real-time and holistic monitoring.
There are several sources of instrumentation for network monitoring data such as: Endpoints metrics, events, logging, sensor data, traffic flow analysis, packet inspection, and synthetic tests. However, often information is collected and visualized in silos, consuming IT resources without providing a complete view of the overall application environment health, all while leaving gaps that can lead to flaws and oversights when assessing network and resource utilization.

Download this whitepaper to learn how A platform to which all monitoring data can converge for storage, alerting and processing is how monitoring should be approached strategically.

Webinars

RECORDED EVENT: We are always looking for ways to make our solutions work better and smarter. We accomplish this by tracking the performance of each of the components underlying our solution. All this critical performance data has a time stamp and a value — also known as time series data.  If this important time-stamped data is at the heart of initiatives to keep things performant, why are we entrusting this data to an ordinary relational database? 
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