Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform. Microservices.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. New MQTT input data can directly be used in real time to make predictions. Anomaly detection of IoT sensor data with a model embedded into a KSQL UDF.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Bernd Rucker

JULY 18, 2019

like a journal in accounting. Storage Zeebe writes the log to disk and RocksDB also flushes its state to disk. We regularly discuss making storage logic pluggable?—?for I contrasted this to traditional workflow engine architectures using a RDMS in part 1 of this blog post. Nothing will ever be changed once its written?—?like

Scalability 42

Scalability Data Center Data Engineering 42

Confluent

SEPTEMBER 26, 2019

Apache Kafka is an event streaming platform that combines messages, storage, and data processing. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Confluent

FEBRUARY 13, 2019

Do I need to use a microservices framework? Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous. Event-driven architecture. Comparing persistence models.

Architecture 90

Architecture Programming Microservices Serverless 90

Confluent

OCTOBER 10, 2019

Different teams can develop, maintain, and change integration to devices and machines without being dependent on other sources or the sink systems that process and analyze the data. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Long-term storage and buffering. High throughput.

IoT 20

IoT Internet Weak Development Team Scalability 20