The Docker environment provides loose isolation between your applications and your host machine because it containerizes your applications. In other words, this implies that your application operates in a container independently of your host computer in order to achieve its intended results. Docker containers have a writable layer on top that allows you to modify the contents of the container while it is running. However, the container lifecycle dictates how these changes are made.

Kong has been hard at work to provide our customers’ the best user experience of running our products in the AWS cloud. We’ve seen tremendous growth in our partnership with AWS in terms of joint solutions (co-build), building awareness through events and workshops (co-market), and growth in the adoption of our solutions (co-sell). In fact, Kong has seen exponential growth in our Kong on AWS business year over year.

As companies are transforming themselves to compete in the cloud era, there’s renewed emphasis on delivering seamless customer experience, improving IT infrastructure, and releasing applications faster. As companies embark on the cloud adoption journey, Red Hat OpenShift gives developers a greater choice of components to build robust applications.

Memory management has always been a source of huge concern in Computer Science. Each piece of software is assigned a small portion of a computer’s finite memory; this memory has to be well-managed (carefully allocated and deallocated). With its efficient automatic garbage collection mechanism, Node.js tries to handle the tedious task of memory management and free up developers to work on other tasks.

So, you just finished building that application that’s going to change the world, you’ve submitted the Android apk to the Google Play Store and the iOS ipa to the Apple App Store, and you’re awaiting review. But when you check your email, you discover that your iOS app has been rejected. Given the urgency of releasing the app, what do you do now? Well, the good news is that your application was built with Flutter, which is a great tool for creating Progressive Web Apps (PWAs).

As a cloud service provider, observability is a critical subject as it's strongly related to the availability of the services running on the platform. We need to understand everything that is happening on our platform to troubleshoot errors as fast as possible and improve performance issues. A year ago, while the platform was still in private beta, we faced a tough reliability issue: users were facing random 500 errors when accessing their applications.

Software engineering is an exciting field that offers various roles and responsibilities to individuals. Some prominent roles are developer, quality assurance engineer, project manager, product manager, DevOps, and many more. Each of these roles also has sub-roles. For example, we have front-end, back-end, and full-stack developers in development. In testing, we have manual testing, automation, unit testing, and end-to-end testing.

Data annotation is one of the principal factors in the development of artificial intelligence (AI) and machine learning (ML). As technology is advancing at a fast pace, almost all industries will need to make use of data annotations to keep up with the trends. The use cases for data annotation and encompassing computer vision are enormous.

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.