Most financial service institutions operate their core banking platform on legacy mainframe technologies. The monolithic, proprietary, inflexible architecture creates many challenges for innovation and cost-efficiency. This blog post explores three open, elastic, and scalable banking solutions powered by Apache Kafka to solve these problems.
Not all workloads should go to the cloud! Low latency, cybersecurity, and cost-efficiency require a suitable combination of edge computing and cloud integration. This blog post explores hybrid data streaming with Apache Kafka anywhere. A live demo shows data synchronization from the edge to the public cloud across continents with Kafka on Hivecell edge hardware and serverless Confluent Cloud.
This post explores why Apache Kafka is the new black for integration projects, how Kafka fits into the discussion around cloud-native iPaaS solutions, and why event streaming is a new software category. A concrete real-world example shows the difference between event streaming and traditional integration platforms respectively iPaaS.
This post shares a slide deck and video recording for architectures and use cases for event streaming with the open-source frameworks Kubernetes and Apache Kafka in the Telco sector. Demonstrated use cases include building 5G networks, NFV management and orchestration, proactive OSS network monitoring, integration with hybrid and multi-cloud BSS and OTT services.
Apache Kafka became the de facto standard for processing data in motion. Kafka is open, flexible, and scalable. Unfortunately, the latter makes operations a challenge for many teams. Ideally, teams can use a serverless Kafka SaaS offering to focus on business logic. However, hybrid scenarios require a cloud-native platform that provides automated and elastic tooling to reduce the operations burden. This blog post explores how to leverage cloud-native and serverless Kafka offerings in a hybrid cloud architecture. We start from the perspective of data at rest with a data lake and explore its relation to data in motion with Kafka.
This blog post explores low latency data processing and edge computing with Apache Kafka, 5G telco networks, and cloud-native AWS Wavelength infrastructure. Learn about use cases and architectures across industries to combine mission-critical and analytics workloads, and a concrete hybrid implementation for energy production and distribution.
Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part four: Mobility Services and Transportation.
Hybrid cloud architectures are the new black for most companies. A cloud-first is obvious for many, but legacy infrastructure has to be maintained, integrated, and (maybe) replaced over time. Event Streaming with the Apache Kafka ecosystem is a perfect technology for building hybrid replication in real-time at scale.
In November 2019, I had the pleasure to visit “Motor City” Detroit. I met with several automotive companies,…
Live Demo – 100.000 Connected Cars – Real Time Processing and Analytics with Kubernetes, Kafka, MQTT and TensorFlow leveraging Confluent and HiveMQ.