An addr-spec is a specific Internet identifier that contains a
locally interpreted string followed by the at-sign character ("@",
ASCII value 64) followed by an Internet domain. The locally
interpreted string is either a quoted-string or a dot-atom. If the
string can be represented as a dot-atom (that is, it contains no
characters other than atext characters or "." surrounded by atext
characters), then the dot-atom form SHOULD be used and the quoted-
string form SHOULD NOT be used. Comments and folding white space
SHOULD NOT be used around the "@" in the addr-spec.
Canopy is a visualization tool for plotting CAN bus message payloads.
To send messages to the Microsoft teams channel, we will use the requests module.
Presentation name: A Beginner's Guide to Inter-Service Messaging
Speakers: Aurélien Bompard, Jeremy Cline
Description: Sending and receiving messages is a common task in software.
Fedora Infrastructure has many event-driven services, we'll discuss some of the problems we encountered and their solutions. Topics include:
- How to pick the right message protocol.
- How to design a "good message". How to recover when you inevitably
don't design a "good message" or when the meaning of the word "good" changes. - Networking: centralized or decentralized?
- How to deal with lost messages. Is it bad? Should you care?
Each topic contains plenty of concrete examples from Fedora Infrastructure.
At the end of this talk, the audience should be well-equipped to not repeat
the mistakes we made and instead go make new and interesting mistakes.
This talk does not require prior knowledge of any message protocols.
Apache Pulsar is an open-source distributed pub-sub messaging system originally created at Yahoo and now part of the Apache Software Foundation
Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
Fast
A single Kafka broker can handle hundreds of megabytes of reads and writes per second from thousands of clients.
Scalable
Kafka is designed to allow a single cluster to serve as the central data backbone for a large organization. It can be elastically and transparently expanded without downtime. Data streams are partitioned and spread over a cluster of machines to allow data streams larger than the capability of any single machine and to allow clusters of co-ordinated consumers
Durable
Messages are persisted on disk and replicated within the cluster to prevent data loss. Each broker can handle terabytes of messages without performance impact.
Distributed by Design
Kafka has a modern cluster-centric design that offers strong durability and fault-tolerance guarantees.
Apache Feather