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Cloud-Native

31 posts
The State of Data Streaming for the Public Sector in 2023
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  • 5 minute read

The State of Data Streaming for the Public Sector in 2023

This blog post explores the state of data streaming for the public sector and government in 2023. Data streaming provides consistency across all layers and allows integrating and correlating data in real-time at any scale. I look at public sector trends to explore how Apache Kafka helps as a business enabler, including case studies from the US Department of Defense (DoD), NASA, Deutsche Bahn (German Railway), and others. A complete slide deck and on-demand video recording are included.
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The State of Data Streaming for Digital Natives in 2023
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  • 8 minute read

The State of Data Streaming for Digital Natives in 2023

This blog post explores the state of data streaming in 2023 for digital natives born in the cloud. Data streaming allows integrating and correlating data in real-time at any scale to improve the most innovative applications leveraging Apache Kafka. I explore how data streaming helps as a business enabler, including customer stories from New Relic, Wix, Expedia, Apna, Grab, and more. A complete slide deck and on-demand video recording are included.
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The State of Data Streaming for Telco in 2023
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  • 7 minute read

The State of Data Streaming for Telco in 2023

This blog post explores the state of data streaming for the telco industry in 2023. The evolution of telco infrastructure, customer services, and new business models requires real-time end-to-end visibility, fancy mobile apps, and integration with pioneering technologies like 5G for low latency or augmented reality for innovation. Learn about customer stories from Dish Network, British Telecom, Globe Telecom, Swisscom, and more. A complete slide deck and on-demand video recording are included.
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Apache Kafka vs Redpanda Comparison
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  • 18 minute read

When to choose Redpanda instead of Apache Kafka?

Data streaming emerged as a new software category. It complements traditional middleware, data warehouse, and data lakes. Apache Kafka became the de facto standard. New players enter the market because of Kafka’s success. One of those is Redpanda, a lightweight Kafka-compatible C++ implementation. This blog post explores the differences between Apache Kafka and Redpanda, when to choose which framework, and how the Kafka ecosystem, licensing, and community adoption impact a proper evaluation.
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Best Practices for Data Analytics with AWS Azure Googel BigQuery Spark Kafka Confluent Databricks
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  • 10 minute read

Best Practices for Building a Cloud-Native Data Warehouse or Data Lake

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 5: Best Practices for Building a Cloud-Native Data Warehouse or Data Lake.
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Case Studies for Cloud Native Analytics with Data Warehouse Data Lake Data Streaming Lakehouse
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  • 7 minute read

Case Studies: Cloud-native Data Streaming for Data Warehouse Modernization

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 4: Case Studies for cloud-native data streaming and data warehouses.
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Data Warehouse and Data Lake Modernization with Data Streaming
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  • 9 minute read

Data Warehouse and Data Lake Modernization: From Legacy On-Premise to Cloud-Native Infrastructure

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 3: Data Warehouse Modernization: From Legacy On-Premise to Cloud-Native Infrastructure.
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Cloud Native Core Banking Platform powered by Apache Kafka Data Streaming
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  • 10 minute read

Cloud-native Core Banking Modernization with Apache Kafka

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.
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  • 5 minute read

Kafka for Real-Time Replication between Edge and Hybrid Cloud

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.
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  • 13 minute read

Is Apache Kafka an iPaaS or is Event Streaming its own Software Category?

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.
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