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YouTube

Patterns for Streaming Telemetry with Akka Streams

Scala Days Conferences via YouTube

Overview

This course teaches patterns for streaming telemetry with Akka Streams. The learning outcomes include understanding error handling, reactive streams, Akka Streams API, and various patterns for streaming telemetry such as grouping, disaggregation, filtering, rate limiting requests, concurrency, idle timeouts, periodic events, and watching termination. The course employs a combination of lectures and practical examples. It is intended for individuals interested in learning about streaming telemetry and utilizing Akka Streams for data processing.

Syllabus

Intro
Aakka
PARTI A MOTIVATING EXAMPLE
ERROR HANDLING
REACTIVE STREAMS
AKKA STREAMS API
PATTERNS FOR STREAMING TELEMETRY
GROUPING
DISAGGREGATION
FILTERING
RATE LIMITING REQUESTS
CONCURRENCY
IDLE TIMEOUTS
PERIODIC EVENTS
WATCHING TERMINATION
PROOF OF CONCEPT
WHAT ABOUT ACTORS?
QUESTIONS?

Taught by

Scala Days Conferences

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