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Ricardo works for AWS in the Developer Experience team. The world of DevRel (Developer Relations) is Ricardo's second nature. Even before working with DevRel as a full-time job at companies like Confluent, Elastic, and Amazon Web Servicesβ€”it was like a hobby for him during his software engineering days. Ricardo's approach to DevRel is unique. He prides himself on being heavily technical to amaze developers with deep dives on core software engineering, instead of focusing only on beginner content. To him, the content may be advanced. But the messaging and the storytelling are what we must keep at the beginner's level so anyone can understand.

With +24 years of experience, he developed an extensive background in distributed systems, databases, streaming data, and observability. The first 10 years of his career were spent in software engineering, where his primary focus was about programming languages, compilers, debuggers, code efficiency, and development best practices. Then, he switched gears, working with Solution Architecture at Oracle. There, he eventually joined the "A-Team" β€” a special team under the product development organization whose charter is to engage in highly complicated projects and complete them successfully. Therefore, don't take it the wrong way if Ricardo finds that difficult project of yours a piece of cake.

Ricardo Ferreira's Projects

current-2022 icon current-2022

Code repository for the demos presented at the Current 2022 conference

demo-scene icon demo-scene

Scripts and samples to support Confluent Platform talks. May be rough around the edges. For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/

devnexus-2023 icon devnexus-2023

Sample code used in the Devnexus session "The Right Number of Partitions for a Kafka Topic"

grafana-alloy icon grafana-alloy

OpenTelemetry Collector distribution with programmable pipelines

grafana-mimir icon grafana-mimir

Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.

is-using-kop-a-good-idea icon is-using-kop-a-good-idea

Is using KoP (Kafka-On-Pulsar) a good idea? Use the scenarios implemented in this repository to check whether Pulsar with KoP enabled is a good fit for your most common Kafka workloads.

kafka-client-metrics-to-cloudwatch-with-kip-714 icon kafka-client-metrics-to-cloudwatch-with-kip-714

Are you tired of collecting Apache Kafka client metrics using JMX? Worse, you even can't do that? Here is a solution. With the KIP-714, you can collect client metrics from the Kafka broker using OpenTelemetry.

ksqldump icon ksqldump

Simple utility to dump KSQL streams and tables into a file

ml-commons-fork icon ml-commons-fork

ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.

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