Personal Information
Organization / Workplace
Porto Alegre, Rio Grande do Sul Brazil
Occupation
Software Developer
Industry
Technology / Software / Internet
About
Stay hungry. Stay foolish.
Tags
stream processing
distributed processing
cloud computing
kafka
edge computing
distributed computing
internet of things
iot
software development
cloud
sre
rabbitmq
message broker
tuning
performance
microservices
messaging
apache kafka
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storm
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mapreduce
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Presentations
(10)Likes
(89)Apache Kafka Best Practices
DataWorks Summit/Hadoop Summit
•
7 years ago
Introduction to Kafka Cruise Control
Jiangjie Qin
•
7 years ago
Building Distributed Systems With Riak and Riak Core
Andy Gross
•
13 years ago
Team building - Software depende de relacionamento
Hélio Medeiros
•
8 years ago
Multi-Cluster and Failover for Apache Kafka - Kafka Summit SF 17
Gwen (Chen) Shapira
•
6 years ago
Linux Profiling at Netflix
Brendan Gregg
•
9 years ago
Apache HBase Performance Tuning
Lars Hofhansl
•
9 years ago
Kubernetes + netflix oss
Cristiano Altmann
•
6 years ago
Netflix Keystone—Cloud scale event processing pipeline
Monal Daxini
•
7 years ago
Shortening the feedback loop
Josh Baer
•
7 years ago
Implementing microservices tracing with spring cloud and zipkin (spring one)
Reshmi Krishna
•
7 years ago
Enabling Googley microservices with HTTP/2 and gRPC.
Alex Borysov
•
7 years ago
Reactive Stream Processing with Mantis
Nick Mahilani
•
7 years ago
Apache Flink: Streaming Done Right @ FOSDEM 2016
Till Rohrmann
•
8 years ago
Jamie Grier - Robust Stream Processing with Apache Flink
Flink Forward
•
7 years ago
A Big Data Lake Based on Spark for BBVA Bank-(Oscar Mendez, STRATIO)
Spark Summit
•
8 years ago
From stream to recommendation using apache beam with cloud pubsub and cloud dataflow
Neville Li
•
8 years ago
Scio - A Scala API for Google Cloud Dataflow & Apache Beam
Neville Li
•
7 years ago
Streaming, Database & Distributed Systems Bridging the Divide
Ben Stopford
•
7 years ago
Production optimization with React and Webpack
k88hudson
•
7 years ago
Huawei Advanced Data Science With Spark Streaming
Jen Aman
•
7 years ago
Microxchg Analyzing Response Time Distributions for Microservices
Adrian Cockcroft
•
8 years ago
Stream Computing & Analytics at Uber
Sudhir Tonse
•
8 years ago
Stream Processing with Kafka in Uber, Danny Yuan
confluent
•
7 years ago
Microservices in the Apache Kafka Ecosystem
confluent
•
7 years ago
Scaling LinkedIn - A Brief History
Josh Clemm
•
8 years ago
Flink in Zalando's World of Microservices
Zalando Technology
•
7 years ago
Introducing Kafka Streams, the new stream processing library of Apache Kafka, Berlin Buzzwords 2016
Michael Noll
•
7 years ago
Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das
Databricks
•
7 years ago
The Future of Real-Time in Spark
Reynold Xin
•
8 years ago
Personal Information
Organization / Workplace
Porto Alegre, Rio Grande do Sul Brazil
Occupation
Software Developer
Industry
Technology / Software / Internet
About
Stay hungry. Stay foolish.
Tags
stream processing
distributed processing
cloud computing
kafka
edge computing
distributed computing
internet of things
iot
software development
cloud
sre
rabbitmq
message broker
tuning
performance
microservices
messaging
apache kafka
smart grids
streaming
storm
smart grid
flink
spark
mapreduce
interative processing
survey
nas
scorep
evaluation
trace
paje
eucalyptus
mpi
See more