In this age of digital transformation, testing is more than just a step or phase in the software development life cycle; it is an integral process that runs parallel to development. In the past few years, the testing industry has witnessed significant scaling due to the introduction of advanced technology. With the increasing application of artificial intelligence and automation, there were a few areas that successfully took testing to the next level, such as adoption of DevOps practices, tools, and applications, and test automation for web applications.
As enterprises continue to add more tools to handle specialized portions of software delivery, an alignment has begun to place more emphasis on data than tools. This alignment realizes the value of data — not just processes or applications. The result: a real need to leverage insights into the practices and better optimize them. Multiple technologies, processes, applications, and systems need to be updated and maintained on a regular basis to keep this fragile ecosystem functioning properly.
How far we've come! It wasn't that long ago all integrations were performed using extract-transform-load (ETL) or basic remote services like Corba and XML. With the advent of faster networks like HTML and Json, and easy-to-use and general purpose interface like Restful APIs, there has been a significant improvement in integration technologies and advances in the connected world. Refrigerators, today, can recognize what food you've stored inside, provide shopping lists on your phone, and place orders through apps, and then there are self-driving cars! What's next?
As a tester, developer, or test manager, you must love shopping — specifically for test management tools? But the dilemma is that you have too many options, right? The pressure to vet software to make sure it is market ready is increasingly becoming complex and tricky, and vendors are not making it easy by providing a myriad of multifunctional test management solutions. Have you considered narrowing down your options with simple 'what can it do for me' pointers?
Why has self-service integration suddenly gained popularity among enterprises? Organizations today are dealing with voluminous number of applications, devices, and data introduced by cloud, mobile, big data, and the Internet of Things (IoT). With the advent of automation and continuous everything, the situation is likely to get more challenging. The biggest concern is that some of these applications are not even purchased through IT, which brings in the issue of central governance and monitoring. The current scenario is forcing organizations to pursue self-service integration; data scientists, power users, and business users, who are ideally citizen integrators, are embracing it.
Most companies today understand the importance of moving to a cloud-based integration model and the significance of connecting different applications and its impact on business transformation goals. But does this mean that they are ready to go full throttle and completely adopt cloud? A cloud-based Integration Platform as a Service (iPaaS) can work only if certain conditions are met — everything has to move off on-premises and the migration may have several implications. Everyone is moving toward hybrid integration; organizations that want to modernize their legacy systems and applications have adopted cloud-based applications at an alarming rate and do not want to make the complete switch to cloud, yet!
Enterprises have a big challenge ahead of them. With experts predicting that DevOps is moving towards mainstream implementation, organizations — including federal agencies — are under tremendous pressure to deliver high-velocity and quality software, increase standardization, and implement best practices. Adopting DevOps practices and utilizing automation technology — which aids businesses with their digital transformation process — are more significant now than ever.
Application integration is setting out to be a major gamechanger in this digital age where enterprises are feeling the pressure to identify and deploy the right integration strategy. This has opened up an avenue for service providers to cater to varying integration requirements. With the increasing adoption of cloud-based integration, the rise in hybrid integration, the advent of IoT (internet of things) and data-centric integration in the backdrop of DevOps practices and digital transformation goals, 2018 looks like a year of rapid growth for application integration.
If you’re a fan of the Go2Group blog, you know how important integration solutions are in today’s digital workplace. Sure, in a perfect world everyone would use the same platform. But we live in the real world, where businesses frequently struggle to manage multiple systems and bring together users who are resistant to learning new tools and changing the way they work.
Smart administrators and managers understand that the solution to this problem isn’t migration. It’s integration. That’s why Communardo created the SharePoint Online Connector for Confluence. This powerful, yet simple integration app enables your teams to work as one using whichever system they prefer.
Let's face it — no single tool can offer all the capabilities to get you through your DevOps approach. You need to find the right mix of tools, strategies, and teams to suit their workflows and approaches. With 2018 projecting a movement for DevOps into mainstream implementation, this becomes even more relevant.