Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. In the interest of full disclosure, it’s worth mentioning that I am a former Confluent employee, now working at Rockset.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Rockset

FEBRUARY 24, 2023

This blog series will help demystify streaming data, and more specifically, provide engineering leaders a guide for incorporating streaming data into their analytics pipelines. Third, events on their own are not ideal for understanding the current state of a system. Kafka or Kinesis ? Stream processing or an OLAP database?

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Confluent

MAY 28, 2019

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes this really easy for developers to use schemas, and it is designed to be highly available. Inconsistent configurations.

Management 83

Management Kafka Java Certification 83

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

FEBRUARY 13, 2019

Trust: Run it on the rails with instrumentation and throughput monitoring. operational processes) or externally (think GitHub for your applications state). The streaming topology shows a flow of data through an organization, representing the real-time DNA of your business. Stepping through an example of an event streaming app.

Architecture 90

Architecture Programming Kafka Database-centric 90

Confluent

MAY 9, 2019

In our case, business level monitoring is the ability to track metrics such as, payments in progress , failed payments and payment throughput. But what if there is a regional outage—how do you bring the system back online without overloading downstream systems? Event-first thinking enables us to build a new atomic unit: the event.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93