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.
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!
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.
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.
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.
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.
Adobe is a legendary Silicon Valley company. From the desktop publishing era of the 1980s, powered by the Adobe Postscript page description language, through the creation and marketing of Photoshop, Illustrator, and other creative power tools, the digital revolution is unthinkable without Adobe.
Getting data from a database into Kafka is one of the most frequent use cases we see. For data integration between enterprise data sources when migrating from monolith to microservices, what better than CDC? We talked about breaking up a monolith and the importance of data observability previously. Now we’re showing you how to do it with a typical microservices architecture pattern including PostgreSQL, Debezium and Apache Kafka.
