Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js

Analytics 21

Analytics Serverless Blockchain Microservices 21

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. I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. trillion by 2024.

IoT 97

IoT Google Cloud Scalability Microservices 97

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven, streaming architecture. Do I need to use a microservices framework?

Architecture 90

Architecture Programming Microservices Serverless 90

Confluent

FEBRUARY 27, 2019

This is important as each platform has different persistence models and APIs, tying you to that vendor’s ecosystem. What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? FaaS for streaming processing. FaaS as part of the event-driven streaming architecture. Next Steps.

Serverless 109

Serverless Lambda AWS Systems Review 109

Confluent

JULY 31, 2019

Delivers the new Confluent Operator for cloud-native automation on Kubernetes, a redesigned Confluent Control Center user interface to simplify how you manage event streams, and a preview of Role-Based Access Control for enterprise-grade security. However, deploying and operating a distributed data system at scale can be challenging.

Open Source 19

Open Source Authentication Cloud Resources 19