To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing.
In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever.
Recorded Feb 5 2018 49 mins
Steve Feloney, VP Product Management CA Technologies
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).
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how:
Join us for this webcast to learn:
- How Test Data Manager finds, builds, protects and delivers test data fast!
- How to get your testing teams moving towards self sufficiency with test data
Get your questions answered. Come away happy!
Recorded Aug 20 2018 60 mins
Prashant Pandey, CA Technologies
Some SAP systems can take up to 10 days to complete a SAP system copy. That’s 10 days of unproductive time. Why? SAP does not provide the necessary tools out-of-the-box to automate and handle the process efficiently. This means you must use highly skilled SAP BASIS staff to manage the process. Manual steps, along with hundreds of configuration settings, can take days to complete—and like many organizations, you have also experienced too many delays, causing non-production systems to be unavailable, which stalls development, testing and training activities.
So you’ve concluded your SAP system copy process is hindering innovation and productivity. You’re considering automating the process to ensure system copies are available for all environments on time, every time.
What are the key capabilities you actually need to address SAP system copy inefficiency once and for all?
It is not uncommon for SAP system copies, including any post-editing, to take several days to complete. Meanwhile, testing, development and training activities come to a standstill, and the large number of manual tasks in the entire process ties up highly skilled SAP BASIS staff.
Enterprises are looking to automation as a way to accelerate SAP system copies and free up staff. However, this is only one part of the problem: What further complicates the system copy process is the need to safeguard sensitive data and manage huge data volumes while also ensuring that the data used in non-production systems adequately reflects the data in production systems so the quality of development, testing and training activities is not compromised.
This white paper explains how a considerable portion of the SAP system copy process can be automated using the CA Automic Automated System Copy for SAP solution and SNP T-Bone, helping enterprises become more agile.
Five global legal trends are testing the limits of even the best new business acceptance models. In this ebook, you’ll explore their effects, learn best practices on how to adapt to them, and evaluate your current processes with an assessment checklist.
SecureWorks provides an early warning system for evolving cyber threats, enabling organisations to prevent, detect, rapidly respond to and predict cyber attacks. Combining unparalleled visibility into the global threat landscape and powered by the Counter Threat Platform — our advanced data analytics and insights engine —SecureWorks minimises risk and delivers actionable, intelligence driven security solutions for clients around the world.
Cybercriminals can be goal-driven and patient, and they often have a singular focus, plenty of time and access to vast, modern technical resources. Both organized and forum-based criminals are working constantly to find innovative and efficient ways to steal information and money with the lowest risk to their personal freedom. If we wish to stay “one step ahead” of the threats detailed in this report, awareness of online criminal threats, techniques and markets is our best defense.
Achieving and maintaining a high level of information security requires information security professionals with robust skills as well as organisational, technical and operational capabilities. The gap between intent and ability to be secure is evident in our sample of UK large enterprises. Deficient companies will only close that gap when they acquire the necessary capabilities. Some of these capabilities can be purchased as information security tools or application solutions, but it is more prudent for an organisation to consider acquiring these capabilities through a service arrangement with a dedicated security services partner.
Despite long-standing concerns captured in a myriad of surveys, security in the cloud has progressed to a more practical and achievable level.
The cloud represents a shared security responsibility model whereby that responsibility is split between the Cloud Service Provider and the cloud customer. For organisations moving some or all of their applications and data to the cloud, acceptance of this model clears the way to more thoughtful consideration for how security can and should be architected — from the ground up. As a result, IT and IT Security leaders now have a much clearer trajectory to support their business operations in the cloud in a secure manner.
Finding a strategic partnership with a trusted security expert that can assist you in all the aspects of information security is vital. SecureWorks is a market leader in security that can close the security gap in organisations by evaluating security maturity across an enterprise, help define security strategies and implement and manage security program plans. We are a true strategic partner that can help a CISO embed security at all levels of the organisation.
The SecureWorks Security and Risk Consulting practice provides expertise and analysis to help you enhance your security posture, reduce your risk, facilitate compliance and improve your operational efficiency.
Technical Tests are designed to cover specific services. Each security test has its own objectives and acceptable levels of risk. There is not an individual technique that provides a comprehensive picture of an organisation’s security when executed alone. A qualified third party can work with you to determine what combination of techniques you should use to evaluate your security posture and controls to begin to determine where you may be vulnerable.
GDPR will pose different challenges to each organisation. Understanding and acting on the implications for your own organisation is vital. That means taking a risk-based approach to ensure that you are doing what you need to do to manage your own specific risks to personal information.
While virtually all organisations will have to implement changes to become GDPR compliant, some will be able to take partial advantage of existing compliance to other security mandates and frameworks, such as ISO 27001 and PCI by extending those measures to protection of personal data. Even so, further work will be required to comply with GDPR, both with regards to security and its other aspects.
Today’s organizations are challenged to be the first to market with ‘The Next Big Thing’. They must innovate with new and unique services to satisfy customer demands and differentiate themselves in the marketplace. Software drives that innovation and has turned every organization into a software organization.
This Executive Brief describes how the efficient collaboration between the development and IT operations teams can bring high-quality applications to market as quickly as possible.
The CA Application Delivery suite helps organizations achieve collaborative DevOps through innovative technology tools used to:
•Accelerate application development by removing constraints with CA LISA® Service Virtualization.
•Expedite release time with CA LISA® Release Automation.
•Improve application testing and quality with CA LISA® Pathfinder
In today’s application economy, everyone is in the software business. Auto makers are putting Wi-Fi hotspots in their cars. Watches are trading gears for motherboards. Even
soda fountains have evolved from dumb machines into instrumented devices with touch-screen user interfaces.
This digital transformation is changing the way applications are developed, tested, moved through environments and released into production—and it’s putting new demands on IT teams with which they’re struggling to keep up.
At a high level, this is because the application delivery systems and processes at many enterprises were put in place when IT only had to push out an annual or semi-annual release. But as market pressures and executive mandates have forced teams to deliver innovations faster and more frequently, a new set of development, testing, automation and customer challenges have appeared—acting as obstacles that stand between you and your digital transformation goals.
Read the white paper to learn how to put a plan in place for full functional validation, and get details on the importance of validating resiliency in a live environment; learn why small-scale recovery “simulations” are inadequate and misleading.
This ESG Lab review documents the results of recent testing of the Oracle SPARC M7 processor with a focus on in-memory database performance for the real-time enterprise. Leveraging new advanced features like columnar compression and on-ship in-memory query acceleration, ESG Lab compared the in-memory database performance of a SPARC T7 system with a SPARC M7 processor to an x86-based system.
Anything you do is an opportunity to learn and get better in creating the right experiences for your visitors, which is why you should always be testing.
Testing is well proven and will help you increase revenues. There are many elements you should be testing, and as you get more confident with testing, there are different levels of how you should be testing—from simple A/B to multivariant testing.
Published By: bChannels
Published Date: Dec 11, 2018
For many years, organizations thought about business continuity in much the same way they thought about business insurance — yes, it was important, but rarely was it top of mind. But that’s all changed. Many organizations have, unfortunately, discovered that even a scant few minutes of service downtime can have deleterious effects on their business operations, resulting in lost revenue, diminished customer confidence and heightened compliance risk.
For those and other reasons, IT executives have raised the bar on business continuity preparedness for their organizations in all ways. New technologies, business processes and partnerships, combined with a raised level of importance for testing and a full appreciation of what virtualization can and can’t do for business continuity, are essential to new thinking around avoiding the impact
of an unplanned service interruption.
Download this informative Whitepaper to learn more about how Veritas Netbackup 8.1.2 can help.
Performance testing has always been about ensuring the scalability of a software application. Until the arrival of the first performance test automation solutions in the late 90’s, performance testing was a manual process that was difficult, if not impossible, to test in a consistent and reliable fashion.
The arrival of these new tool sets suddenly allowed software testers to turn discrete user actions into scripts that could be combined and replayed as test scenarios. Solving the consistency and reliability challenge, software testers could now repeat the same test on demand while reinforcing and imposing some new requirements.