This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part two: Situational awareness with continuous real-time data integration and data processing at scale.
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.
The rise of data in motion in the insurance industry is visible across all lines of business including life, healthcare, travel, vehicle, and others. Apache Kafka changes how enterprises rethink data. This blog post explores use cases and architectures for insurance-related event streaming. Real-world examples from Generali, Centene, Humana, and Tesla show innovative data integration and stream processing in real-time.
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.
This post explores use cases and architectures for processing data in motion with Apache Kafka in Industrial IoT (IIoT) across verticals such as automotive, energy, steel manufacturing, oil&gas, cybersecurity, shipping, logistics. Use cases include predictive maintenance, quality assurance, track and track, real-time locating system (RTLS), asset tracking, customer 360, and more. Examples include BMW, Bosch, Baader, Intel, Porsche, and Devon.
Real-time beats slow data in most use cases across industries. The rise of event-driven architectures and data in motion powered by Apache Kafka enables enterprises to build real-time infrastructure and applications. This blog post explores why the Kafka API became the de facto standard API for event streaming like Amazon S3 for object storage, and the tradeoffs of these standards and corresponding frameworks, products, and cloud services.
Aviation and travel are notoriously vulnerable to social, economic, and political events, as well as the ever-changing expectations of consumers. Coronavirus is just a piece of the challenge. This post explores use cases, architectures, and references for Apache Kafka in the aviation industry, including airline, airports, global distribution systems (GDS), aircraft manufacturers, and more.
A smart city is an urban area that uses different types of electronic Internet of Things (IoT) sensors to collect data and then use insights gained from that data to manage assets, resources, and services efficiently. This blog post explores how Apache Kafka fits into the smart city architecture and the benefits and use cases.
Event Streaming with Apache Kafka disrupts the retail industry. This blog post explores a concrete use case as part of the overall story: A hybrid streaming architecture to build smart retail stores for autonomous or disconnected edge computing and replication to the cloud with Apache Kafka.
This blog post explores use cases, architectures, and real-world deployments of Apache Kafka in edge, hybrid, and global retail deployments at companies such as Walmart and Target.