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manufacturing
87 posts
The State of Data Streaming for Manufacturing in 2023
Kai Waehner
This blog post explores the state of data streaming for manufacturing in 2023. The evolution of industrial IoT, manufacturing 4.0, and digitalized B2B and customer relations require modern, open, and scalable information sharing. The foci are trending enterprise architectures in the manufacturing industry and data streaming customer stories from BMW, Mercedes, Michelin, or Siemens. A complete slide deck and on-demand video recording are included.
Apache Kafka Landscape for Automotive and Manufacturing
Apache Kafka is the central nervous system of many applications in various areas related to the automotive and manufacturing industry for processing analytical and transactional data in motion across edge, hybrid, and multi-cloud deployments. This article explores the event streaming landscape for automotive including connected vehicles, smart manufacturing, supply chain optimization, aftersales, mobility services, and innovative new business models.
Apache Kafka for Industrial IoT and Manufacturing 4.0
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.
Apache Kafka and MQTT (Part 3 of 5) – Manufacturing 4.0 and Industrial IoT
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 three: Manufacturing, Industrial IoT, and Industry 4.0.
Apache Kafka in Manufacturing and Industry 4.0
The Fourth Industrial Revolution (also known as Industry 4.0) is the ongoing automation of traditional manufacturing and industrial…
ARM CPU for Cost-Effective Apache Kafka at the Edge and Cloud
ARM CPUs often outperform x86 CPUs in scenarios requiring high energy efficiency and lower power consumption. These characteristics make ARM preferred for edge and cloud environments. This blog post discusses the benefits of using Apache Kafka alongside ARM CPUs for real-time data processing in edge and hybrid cloud setups, highlighting energy-efficiency, cost-effectiveness, and versatility. A wide range of use cases are explored across industries, including manufacturing, retail, smart cities and telco.
How the Retailer Intersport uses Apache Kafka as Database with Compacted Topic
Compacted Topic is a feature of Apache Kafka to persist and query the latest up-to-date event of a Kafka Topic. The log compaction and key/value search is simple, cost-efficient and scalable. This blog post shows in a success story of Intersport how some use cases store data long term in Kafka with no other database. The retailer requires accurate stock info across the supply chain, including the point of sale (POS) in all international stores.
Customer Loyalty and Rewards Platform with Apache Kafka
Loyalty and rewards platforms are crucial for customer retention and revenue growth for many enterprises across industries. Apache Kafka provides context-specific real-time data and consistency across all applications and databases for a modern and flexible enterprise architecture. This blog post looks at case studies from Albertsons (retail), Globe Telecom (telco), Virgin Australia (aviation), Disney+ Hotstar (sports and gaming), and Porsche (automotive) to explain the value of data streaming for improving the customer loyalty.
