Process is the lifeblood of every business, and yet too many organizations suffer from processes that
are inefficient and unsustainable. Whether your organization is stuck navigating a snarl of unwieldy
spreadsheets and emails or painstakingly customizing large, complex systems with part-time support
from overworked technical teams, the result is the same: a bogged-down business with frustrated
employees, customers, and shareholders.
This practical guide will show you how to lower operating costs, increase efficiency, and improve customer satisfaction through process improvement. Among the keys are being able to rapidly adapt to change and non-stop production.
Businesses today struggle as a result of the three big challenges with traditional analytics products – legacy tools that won’t work with all of their data, that don’t have the architecture to handle big data, and that can’t take actions in real-time to keep them ahead of the competition.
Qrvey is the next generation of business analytics that moves beyond visualizations to include data collection, transformation, automation and machine learning, providing the fastest and easiest path to harness the full power of AWS without coding. By bringing analytics into the age of microservices, Qrvey’s platform empowers its customers to build and embed highly performant analytic applications that can be widely distributed. At Qrvey, embedding is not a feature set, it’s a mindset.
See what’s possible with the next generation of embedded analytics.
In an Agile world, software and IT teams are under constant pressure to move faster. Typically, this means decreasing the relative length of delivery time while continuing to improve quality on each successive release. At the same time, there’s always pressure to minimize testing costs.
An emphasis on testing and quality has made a huge emergence in the software market, where “move fast and break things” is no longer viable. A quality assurance movement known as “shift-left testing” has come along in response to this mantra.
This e-book will cover:
1) Why you won’t survive if you don’t shift
2) How your testing processes should change when you adopt a shift-left testing methodology
3) Who needs to be involved in this movement and how
4) Case studies about how to pioneer the shift in your teams
Download the e-book to learn more.
Migrating to Amazon Web Services (AWS) can help you move faster, operate more efficiently,
and save substantial costs, all while benefiting from the scale and performance of the cloud.
In this guide, we discuss how cloud adoption can deliver significant business value to your
organization and what you can do in order to maximize its benefits.
● The importance of developing a robust and compelling business case for cloud migration
● The five phases involved in moving to the cloud
● Key migration strategies to help you simplify the whole migration process
Download this guide to learn more!
More and more organizations are choosing to migrate to cloud platforms like Amazon Web
Services (AWS) today to achieve greater scalability, increase cost savings, and enable digital transformation. However, the migration journey can be daunting.
To make things simpler, here’s a guide featuring useful tips to help you design an effective cloud migration strategy.
● Seven key traits of IT organizations who are successful in their cloud migration initiatives
● Ways to boost collaboration between Development and Operations teams
● The various challenges that you are likely to face and how to address them
● A step by step guide to enabling a seamless cloud migration
Download this guide to learn more!
Observability is the latest iteration of application and network monitoring, giving organizations a view into CI/CD pipelines, microservices, Kubernetes and edge decies, among other systems. Yet handling all the data these systems throw off can be a huge challenge. Logs, metrics and traces are important sources of data for performance.
But there’s more to observability than merely collecting data. It needs to be correlated into a topology, so that the relationships between all the moving parts can be seen, and you can learn how an event can impact some other part of the system.
Read Part 3 of SD Times “Deeper Look” into application monitoring to learn more. And, if you haven’t already done so, you can read Part 1 and Part 2 as well.
Download Part 3 today!
DevOps delivery practices are being adopted across the industry, but unfortunately they’re not always built with quality assurance as a core capability. Teams have no choice but to build a testing strategy as they go, rather than designing the culture, processes, and tools upfront. QA testing as an afterthought in an agile or CI/CD environment results in measurable inefficiencies across the entire development team; and oftentimes will directly impact the user experience with too many bugs reaching production.
Applying QA best practices to every phase of application development has the most impact on customer and employee happiness. Putting automated testing at the center of DevOps – what we call DevTestOps – yields an ROI you won’t want to ignore.
Listen as SDTimes and mabl discuss the findings from the 2020 DevTestOps Landscape Survey. You will hear about:
If automation is core to your digital transformation this year, you will not want to miss this webinar.
As businesses start to re-open and organizations begin to bring employees back to their places of work, there will be new challenges — some known, and some unexpected. But employee wellness will be top of mind, and having workers maintain social distancing and still be able to collaborate is among them.
Traditional spreadsheets make version control hard, and managers who’ll need to set up schedules if only half the staff can be in the office at one time will need applications produced quickly to meet those challenges. Low-code software solutions can help businesses quickly evolve their operations to create safe, effective and collaborative ways to work.
Listen as SD Times and QuickBase discuss how low-code tooling can make your return to the office a smooth one.
Many developers and IT professionals have been working from home for a long time, yet even more have only recently begun to do so. The speed with which organizations have had to shift to accommodate the new home workforce raises issues for both.
Organizations worry about ensuring security on devices and applications — and even employees — out of their control, while workers worry about how they’re using their time, if they’re being effective, how to best collaborate with their peers, and more. They’re questioning themselves, with health becoming an important part of the work/life equation.
Listen as we discuss why quarantine work is NOT the new normal and how both organizations and workers can navigate these times securely and healthily. Specifically, our panelists will discuss ways to:
· Help teams ‘stay in the zone’ while working within their development toolchain and environment
· Design developer training programs that specifically meet security and compliance requirements
· Thrive in this uncertain environment through relevant and customized training at the speed of DevSecOps
Learn more by downloading the discussion!
The introduction of the latest technology – such as AI and machine learning – can be seen as a way for organizations to accelerate growth, increase efficiency, and improve customer service. However, the truth is that the technology alone will do little to deliver on these business outcomes. AI for IT operations (AIOPs) is one area where the application of technology, if not matched with organizational maturity readiness, will fail to deliver all the promised benefits.
This report looks at the operational maturity of organizations and matches the technology to that level. Only by ensuring that technology, people, and processes are aligned can an organization see any new technology become transformative and deliver real business value.
Download this report to learn more.