Published By: Tricentis
Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014…
• The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old
• Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161
• "Continuous Testing” just started appearing in industry publications and conferences2
• Many of today’s popular test frameworks were brand new—or not yet released
• The term “microservices” was just entering our lexicon
• QC/UFT and ALM were still sold by HP (not even HPE yet)
• Only 30% of enterprise software testing was performed fully “in house”3
• There was no GDPR restricting the use of production data for software testing
• Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like
SAP S/4HANA and Salesforce Lightning hadn’t even been announced
Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon.
And the pace and scope of disruption will continue to escalate throughout the fo
Published By: Tricentis
Published Date: Aug 19, 2019
Let’s face it. Businesses don’t want—or need—perfect software. They want to deliver new, businessdifferentiating
software as soon as possible. To enable this, we (Development and Testing teams) need fast
feedback on whether the latest innovations will work as expected or crash and burn in production. We also
need to know if these changes somehow broke the core functionality that the customer base—and thus the
This is where Continuous Testing comes in.
Continuous Testing is the process of executing automated tests as part of the software delivery pipeline in
order to obtain feedback on the business risks associated with a software release candidate as rapidly as
Published By: Tricentis
Published Date: Aug 19, 2019
The way that we develop and deliver software has changed dramatically in the
past 5 years—but the metrics we use to measure quality remain largely the
same. Despite seismic shifts in business expectations, development methodologies,
system architectures, and team structures, most organizations still
rely on quality metrics that were designed for a much different era.
Every other aspect of application delivery has been scrutinized and optimized
as we transform our processes for DevOps. Why not put quality metrics under
the microscope as well?
Are metrics like number of automated tests, test case coverage, and pass/fail
rate important in the context of DevOps, where the goal is immediate insight
into whether a given release candidate has an acceptable level of risk? What
other metrics can help us ensure that the steady stream of updates don’t undermine
the very user experience that we’re working so hard to enhance?
To provide the DevOps community an objective perspective
on what quality
Service virtualization tools simulate software components so end-to-end testing can proceed even when dependent components are not available. That means teams can perform integration tests sooner and more often, accelerating the delivery of high-quality, thoroughly tested applications.
Published By: HPE Intel
Published Date: Mar 14, 2016
Innovative companies around the world have embraced a modernized, business-centric approach to IT, delivering orchestrated solutions that help achieve better business results. Now, more efficient and agile servers support this innovation by combining compute, storage, and networking resources to manage entire IT environments as programmable elements that are flexibly tailored to meet changing business demands. With HPE ProLiant Gen9 servers, you can redefine your IT infrastructure so that it’s converged, software-defined, cloud-ready, and workload-optimized. HPE ProLiant Gen9 servers can help organizations align IT infrastructures with key business outcomes: running operations efficiently, accelerating IT service delivery, and increasing business productivity and performance.
Building on 25 years of server market leadership, the HPE ProLiant Gen9 portfolio—which includes HPE OneView software for simplified, converged management—offers optimal performance, increased storage, reduced energy consumption, and greater visibility and control across IT environments. Now everyone from enterprises to small and medium businesses (SMBs) can lower the cost of IT services, reduce delivery times, and improve their overall performance to gain a competitive edge. Download this white paper to learn more about the HPE ProLiant Gen9 portfolio.
Service virtualization offers a solution. Service virtualization tools simulate software components so end-to-end testing can proceed even when dependent components are not available. That means teams can perform integration tests sooner and more often, accelerating the delivery of high-quality, thoroughly tested applications.
Your online audience expects fast, flawless, secure experiences on any device in any location, every time. But whether you are delivering videos, your website, music, software or games, ensuring engaging online experiences from an increasing variety of devices around the world is a huge challenge.
Content delivery networks (CDNs) can significantly improve the user experience of your online audiences. But not all CDNs deliver the same level of service. Dos and Don’ts of Evaluating and Deploying a CDN provides tips on how to determine what is most important to your organization and how to choose a CDN that meets your needs.
Download this guide to learn:
The four major performance factors that can affect user experience
Why speed alone isn't an accurate measure of performance
How a content audit can identify performance bottlenecks
The role content storage can play in reducing costs and latency
How to decide what features are most important to your business
Datacenter improvements have thus far focused on cost reduction and point solutions. Server consolidation, cloud computing, virtualization, and the implementation of flash storage capabilities have all helped reduce server sprawl, along with associated staffing and facilities costs. Converged systems — which combine compute, storage, and networking into a single system — are particularly effective in enabling organizations to reduce operational and staff expenses. These software-defined systems require only limited human intervention. Code imbedded in the software configures hardware and automates many previously manual processes, thereby dramatically reducing instances of human error. Concurrently, these technologies have enabled businesses to make incremental improvements to customer engagement and service delivery processes and strategies.
Published By: 3D Systems
Published Date: Aug 29, 2019
As a mold maker, you have probably experienced challenges with your current software including working with multiple solutions, inefficient mold design capabilities, poor technical support and many more.
By switching to an integrated CAD/CAM software that’s dedicated for mold design and manufacturing, you can reduce delivery times, improve tool quality and gain a competitive advantage.
Download this whitepaper to learn more about why you need an integrated solution, as well as the key elements to look for in a CAD/CAM solution.
Enterprise users today are busier than ever and have grown accustomed to convenience and simplicity when they use technology in their personal lives. To stay productive at work, they demand faster, easier access to IT services, no matter where they are. BMC Software is meeting the changing demands of service delivery with a new approach to IT self-service. MyIT lets you give them everything they need — all from one simple, intuitive app.
Imagine a world where users help themselves and you spent less time on trouble tickets and more time on strategic IT initiatives. No need to imagine, this world exists. Try MyIT today!
This paper helps outline some of the ways to control BYOD risks and outlines other factors that influence your decision to establish a BYOD policy. Like Cloud-based software delivery, BYOD presents such compelling advantages over the traditional approach that its emergence as the dominant mobile strategy appears to be a question of “when” rather than “if.”
For many years small to midsize manufacturers and ERP software providers struggled with the notion that full system implementations included more complexity, not to mention cost, than could be incurred by organizations with limited resources. Fortunately, drastic improvements in price performance, enhancements to underlying technologies and introduction of new forms of delivery have made ERP solutions viable and affordable to manufacturing companies of all sizes.
The ability to apply software to strategic advantage is the de? ning technology theme of this decade. This is not just an IT issue. It is a business imperative. Every business is in the software business. In some industries, the number of software jobs has doubled over the past ? ve years. JP Morgan Chase has more software developers than Google and more technologists than Microsoft. If you think your company isn’t in the software business, you’re wrong. Airlines, oil companies, telecommunications providers all are using applications to attract customers and gain a competitive advantage.
With the ubiquitous adoption of mobile devices, a whole new platform for application and content delivery is evolving. With their colorful, interactive, intuitive user interfaces, always-on global connectivity, sensing capabilities such as GPS and device orientation and their ability to connect with users through personalized con? guration options, mobile is truly the de? ning platform of the applicat
Published By: Dynatrace
Published Date: Dec 16, 2015
Today's hyper-connected mobile consumers have high expectations. To compete, you must provide a responsive, superior digital experience. DevOps best practices of Continuous Delivery make this possible, but to do it right you will need a safety net.
Software-defined architectures have transformed enterprises to become more application-centric. With application owners
seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to
Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure
virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT
teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations
are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
Published By: Red Hat
Published Date: Jun 23, 2016
FICO, a data analytics software company, wanted to diversify into new markets its core offering of providing on-premise software to major corporations. To do this, the company launched FICO Analytic Cloud, a cloud delivery channel that enables FICO to serve organizations of all sizes. FICO Analytic Cloud was first launched in 2013 and provides Platform-as-a-Service (PaaS) access to FICO Decision Management Platform, which allows customers to use FICO tools and technology to create, customize, and deploy applications and services. FICO Decision Management Platform is built on OpenShift Enterprise by Red Hat, which provides the PaaS tools and support FICO needed to rapidly scale the platform and Analytic Cloud.
You can succeed in your digital transfomation and deliver applications and services faster, better, and safely.
How? With Enterprise Agile Delivery. Enterprise Agile Delivery brings a wealth of benefits to organizations and can be adopted by any Agile hybrid framework: SAFe, LESS, Nexus as well as Agile/lean frameworks like Scrum and Kanban.
Yet to achieve Eneterprise Agile Delivery, enterprises need an easy to use modern ALM tool for quick and successful onboarding. Download this white paper to understand how the right solution will help you:
• Strategiaclly align feature releases and backlogs with your overall business strategy
• Identify and prioritize dev and test activities with visibility into project waves and portfolios
• Make data-based decisons for safe releases with real-time insights and multidimensional views into delivery risks
• Sync business, dev, QA and release teams around shared objectives with automated coordination and communication
When it comes to investing in ERP systems, improving the efficiency and responsiveness of business processes is a top concern for SAP customers. However, among IT professionals, safe delivery is of higher priority than ERP digitalization or starting an IT agility transformation.
With SAP S/4HANA, this no longer needs to be a compromise. When moving to SAP S/4HANA, IT professionals need to implement not only the technical upgrade of SAP S/4HANA but also the required customizations, which necessitate an intensive amount of business collaboration and software delivery. And for that to happen, IT needs an enterprise agile delivery solution to gather and implement the business requirements to SAP S/4HANA as quickly as possible without business disruption.
Read this white paper to discover how you can transition to SAP S/4HANA and achieve true enterprise agile delivery — a new standard to deliver changes to your SAP environment. Topics include:
• Sync business and IT to ensure your ERP solu
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Welcome to the very first edition of Modern Monitoring, a collection of articles and insights designed to help IT operations and DevOps professionals deliver more resilient, supportable and high-performance IT services.
It’s perhaps a sign of the times that monitoring as a discipline is receiving much more attention within the biz tech community. And deservedly so. The new distributed application architectures being built, together with the dizzying pace of software delivery, demand new approaches in what’s traditionally been perceived as a “keeping the lights on” IT practice.
Of course, there’s no better way to consider monitoring than to draw parallels with other practices in related fields. It’s why we’ve included a couple of pieces with a distinct aeronautical flavor that discuss importance of instrumentation and contextual awareness.
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging.
Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.