Interest in online banking is skyrocketing. In this context, more and more banking providers are building digital products (especially mobile offerings) and improving their core capabilities to meet user expectations of the instantaneous, always-on, realtime world. In this blog post, we will look at Kafka’s characteristics and explore why it’s such a popular choice for architecting event-driven realtime banking ecosystems.

It’s 2021 and we now have a mobile app for everything. Whether it’s social media, shopping, productivity or fitness, there’s a visible surge in the number of mobile apps and their users. Simform (as of 2019) stated that an average user has at least 40 apps installed on their phones while millennials have around 67 apps. So, there’s a solid reason why mobile app testing is a crucial step in any app development process.

With the increased usage of smartphones in recent years, enterprises and the software industry now have to cater their applications to mobile devices for web testing in addition to desktops. Usually, there are three types of applications that are meant to be used in mobile phones. These are – i. Native Apps: Apps that are written and built using SDKs and native APIs. These can be downloaded from the official app stores. ii.

Let’s start with a real-world example from one of my past machine learning (ML) projects: We were building a customer churn model. “We urgently need an additional feature related to sentiment analysis of the customer support calls.” Creating the data pipeline to extract this dataset took about 4 months! Preparing, building, and scaling the Spark MLlib code took about 1.5-2 months!

Mobile apps are not just the next (or current) big thing. They have become a part of our lives — in a way, steering our choices and decisions. By merely sitting on our couch, we apply for jobs, manage our projects, talk to our friends, the order in essentials, and even pay our bills. The convenience is unsurpassable, and thanks to the user-friendly functionalities, even our grandparents seamlessly book cabs, play games, and video call us. Mobile apps are here to stay. Imagine the possibilities.

Virtualization is a core component of cloud computing and the key technology to optimize usage of hardware's resources. While it has been around for decades, new innovations continue to improve its efficiency and performance for modern workloads. In this blog post, we provide a brief overview of virtualization and its history as well as explain how Firecracker and lightweight virtualization are fueling modern deployments.

One of the reasons I joined Bitrise was the awesome community and the fact that most of the codebase here is actually open-sourced. If the Step Library is the brain of each and every build running on Bitrise, the open-source community must be the heart of it, playing a key role in the success of our product. That's why we have some plans to do more amazing things.

It seems like only yesterday that the cloud was considered the destination. For technology decision-makers, choices boiled down to: “Do I want this thing in my data center, or would it be better, cheaper and faster in the cloud?” The cloud was the place to be.

Although the title might sound like a collaboration of two music bands with really bad names, this blog is all about understanding how computer vision and machine learning can be used to improve safety and security in a harsh and dangerous environment of a construction site. The construction industry is one of the most dangerous industries according to the common stats from OSHA.