An introduction to message queues with PHP. We'll focus on RabbitMQ and how to leverage queuing scenarios in your applications. The talk will cover the main concepts of RabbitMQ server and AMQP protocol and show how to use it in PHP. The RabbitMqBundle for Symfony2 will be presented and we'll see how easy you can start to use message queuing in minutes.
Presented at Symfony User Group Belgium: http://www.meetup.com/Symfony-User-Group-Belgium/events/169953362/
Scaling Symfony2 apps with RabbitMQ - Symfony UK MeetupKacper Gunia
Slides from my talk at Symfony UK Meetup. London, 20 Aug 2014. http://twitter.com/cakper
Video: https://www.youtube.com/watch?v=cha92Og9M5A
More Domain-Driven Design related content at: https://domaincentric.net/
Scaling Symfony2 apps with RabbitMQ - Symfony UK MeetupKacper Gunia
Slides from my talk at Symfony UK Meetup. London, 20 Aug 2014. http://twitter.com/cakper
Video: https://www.youtube.com/watch?v=cha92Og9M5A
More Domain-Driven Design related content at: https://domaincentric.net/
Integrating icinga2 and the HashiCorp suiteBram Vogelaar
We all love infrastructure as code, we automate everything ™ but how many
of us can really say we could destroy and recreate our core infrastructure
without human intervention. Can you be sure there isnt a DNS problem or
that all the things ™ are done in the right order This talk walks the
audience through a green fields exercise that sets up service discovery
using Consul, infrastructure as code using terraform, using images build
with packer and configured using puppet.
We all love infrastructure as code, we automate everything ™ but how many
of us can really say we could destroy and recreate our core infrastructure
without human intervention. Can you be sure there isnt a DNS problem or
that all the things ™ are done in the right order This talk walks the
audience through a green fields exercise that sets up service discovery
using Consul, infrastructure as code using terraform, using images build
with packer and configured using puppet.
A gentle introduction to Observability and how to setup a highly available monitoring platform across multiple datacenters.
During this talk we will investigate how we can setup and monitor an monitoring setup across 2 DCs using Prometheus, Loki, Tempo, Alertmanager and Grafana. monitoring some services with some lessons learned along the way.
Keep hearing about Plack and PSGI, and not really sure what they're for, and why they're popular? Maybe you're using Plack at work, and you're still copying-and-pasting `builder` lines in to your code without really knowing what's going on? What's the relationship between Plack, PSGI, and CGI? Plack from first principles works up from how CGI works, the evolution that PSGI represents, and how Plack provides a user-friendly layer on top of that.
Video presentation: https://www.youtube.com/watch?v=jLAFXQ1Av50
Most applications written in Ruby are great, but also exists evil code applying WOP techniques. There are many workarounds in several programming languages, but in Ruby, when it happens, the proportion is bigger. It's very easy to write Ruby code with collateral damage.
You will see a collection of bad Ruby codes, with a description of how these codes affected negatively their applications and the solutions to fix and avoid them. Long classes, coupling, misapplication of OO, illegible code, tangled flows, naming issues and other things you can ever imagine are examples what you'll get.
A gentle introduction to Observability and how to setup a highly available monitoring platform accros multiple datacenters.
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Things like Infrastructure as Code, Service Discovery and Config Management can and have helped us to quickly build and rebuild infrastructure but we haven't nearly spend enough time to train our self to review, monitor and respond to outages. Does our platform degrade in a graceful way or what does a high cpu load really mean? What can we learn from level 1 outages to be able to run our platforms more reliably.
We all love infrastructure as code, we automate everything ™. However making sure all of our infrastructure assets are monitored effectively can be slow and resource intensive multi stage process. During this talk we will investigate how we can setup and observe a service mesh platform using HashiCorp's Consul Connect by recording its metrics. logs and traces.
This talk will focus on configuring and analysing the metrics, logs and traces Consul Connect produces using Prometheus, Loki, Tempo and Grafana.
PuppetCamp SEA 1 - Version Control with PuppetWalter Heck
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DBD::Gofer is the scalable stateless proxy driver for Perl DBI.
These are the slides for my lightning talk on DBD::Gofer given at the Italian Perl Workshop in 2008 (with a few extra slides added).
Integrating icinga2 and the HashiCorp suiteBram Vogelaar
We all love infrastructure as code, we automate everything ™ but how many
of us can really say we could destroy and recreate our core infrastructure
without human intervention. Can you be sure there isnt a DNS problem or
that all the things ™ are done in the right order This talk walks the
audience through a green fields exercise that sets up service discovery
using Consul, infrastructure as code using terraform, using images build
with packer and configured using puppet.
We all love infrastructure as code, we automate everything ™ but how many
of us can really say we could destroy and recreate our core infrastructure
without human intervention. Can you be sure there isnt a DNS problem or
that all the things ™ are done in the right order This talk walks the
audience through a green fields exercise that sets up service discovery
using Consul, infrastructure as code using terraform, using images build
with packer and configured using puppet.
A gentle introduction to Observability and how to setup a highly available monitoring platform across multiple datacenters.
During this talk we will investigate how we can setup and monitor an monitoring setup across 2 DCs using Prometheus, Loki, Tempo, Alertmanager and Grafana. monitoring some services with some lessons learned along the way.
Keep hearing about Plack and PSGI, and not really sure what they're for, and why they're popular? Maybe you're using Plack at work, and you're still copying-and-pasting `builder` lines in to your code without really knowing what's going on? What's the relationship between Plack, PSGI, and CGI? Plack from first principles works up from how CGI works, the evolution that PSGI represents, and how Plack provides a user-friendly layer on top of that.
Video presentation: https://www.youtube.com/watch?v=jLAFXQ1Av50
Most applications written in Ruby are great, but also exists evil code applying WOP techniques. There are many workarounds in several programming languages, but in Ruby, when it happens, the proportion is bigger. It's very easy to write Ruby code with collateral damage.
You will see a collection of bad Ruby codes, with a description of how these codes affected negatively their applications and the solutions to fix and avoid them. Long classes, coupling, misapplication of OO, illegible code, tangled flows, naming issues and other things you can ever imagine are examples what you'll get.
A gentle introduction to Observability and how to setup a highly available monitoring platform accros multiple datacenters.
During this talk we will investigate how we can setup and monitor an monitoring setup accross 2 DCs using Prometheus, Loki, Tempo, Alertmanager and Grafana. monitoring some services with some lessons learned along the way.
Things like Infrastructure as Code, Service Discovery and Config Management can and have helped us to quickly build and rebuild infrastructure but we haven't nearly spend enough time to train our self to review, monitor and respond to outages. Does our platform degrade in a graceful way or what does a high cpu load really mean? What can we learn from level 1 outages to be able to run our platforms more reliably.
We all love infrastructure as code, we automate everything ™. However making sure all of our infrastructure assets are monitored effectively can be slow and resource intensive multi stage process. During this talk we will investigate how we can setup and observe a service mesh platform using HashiCorp's Consul Connect by recording its metrics. logs and traces.
This talk will focus on configuring and analysing the metrics, logs and traces Consul Connect produces using Prometheus, Loki, Tempo and Grafana.
PuppetCamp SEA 1 - Version Control with PuppetWalter Heck
Choon Ming Goh, System Administrator at OnApp Malaysia, gave a presentation on how OnApp implements version control. Since they have quite a few repositories, this is all puppetised and that is quite a nice way of doing version control.
DBD::Gofer is the scalable stateless proxy driver for Perl DBI.
These are the slides for my lightning talk on DBD::Gofer given at the Italian Perl Workshop in 2008 (with a few extra slides added).
Architecture | The Future of Messaging: RabbitMQ and AMQP | Eberhard WolffJAX London
2011-11-02 | 05:45 PM - 06:35 PM
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Alvaro Videla, Building a Distributed Data Ingestion System with RabbitMQTanya Denisyuk
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To help with scalability I am going to show an interesting way to implement sharded queues with RabbitMQ by using the Consistent Hash Exchange.
"Enterprise Messaging with RabbitMQ" by Luis Majano is a comprehensive presentation that explores the concept of enterprise messaging and demonstrates how RabbitMQ, a widely used message broker, can facilitate effective communication within complex software systems. This presentation aims to provide a deep understanding of messaging patterns, architectures, and the benefits of adopting RabbitMQ in enterprise-level applications.
The presentation begins by introducing the fundamental principles of enterprise messaging and its significance in modern software development. It emphasizes the need for scalable, reliable, and decoupled communication between components and systems to ensure seamless operation and flexibility.
Luis Majano, an expert in enterprise software development, then delves into the key features and capabilities of RabbitMQ. He explains how RabbitMQ enables the implementation of various messaging patterns such as publish/subscribe, request/reply, and message routing. The presentation highlights the versatility of RabbitMQ in handling different messaging scenarios and discusses its integration possibilities with different programming languages and frameworks.
Moreover, the presentation addresses crucial concepts related to RabbitMQ, including exchanges, queues, bindings, and message acknowledgment. It explains how these components work together to enable message routing, filtering, and delivery guarantees in complex distributed systems.
Luis Majano also demonstrates the practical implementation of RabbitMQ through code examples and architectural diagrams. He illustrates how to set up RabbitMQ clusters for high availability and scalability, and how to handle common messaging challenges such as message persistence, fault tolerance, and load balancing.
Throughout the presentation, Luis Majano shares best practices, tips, and strategies for designing and implementing robust messaging solutions using RabbitMQ. He discusses message serialization, error handling, monitoring, and performance optimization techniques to ensure optimal message throughput and system responsiveness.
Low Latency Streaming Data Processing in HadoopInSemble
"Low-Latency Streaming Data Processing in Hadoop" was presented to Lansing Java Users Group meeting on 3/17/2015 by Vijay Mandava and Lan Jiang. It covers several frameworks that are commonly used for real-time streaming data processing such as Flume, Kafka and Storm. The demo uses all 3 frameworks to stream live twitter data to calculate TopN trending hashtags. The demo was done on Cloudera CDH 5.3
Reliable communication is essential for microservice based architectures. One of the most effective patterns for microservices communication is message queue. We'll see how a Rubyist can build scalable microservices using RabbitMQ and run it on the AWS infrastructure in Docker containers.
As a follow-up of the previous session about TFB, we will discuss what kind of tuning was made to the mORMot library, and its associated TFB sample implementation, to reach the top scores in charts. How can a pure Pascal project reach 7 millions of HTTP requests per seconds? How to scale and measure on high-end hardware? Are ORM frameworks damned to slow down everything? How to circumvent the lack of “async” programming at language level? How realistic is such a benchmark?
ITB2019 Multi-language / multi-OS communication using RabbitMQ - Wil de BruinOrtus Solutions, Corp
Our web hosting company is using many different services for managing e-mail, spam-filters, DNS, domain registrations, SSL registrations, ticket systems and more. Some of these services have well defined Web API’s, others can only be managed by simple command line scripts.
In this session we will explain how we tried to automate the various workflows by using a messaging system such as RabbitMQ for communication between our cfml based customer control panel and these services.
Messaging, interoperability and log aggregation - a new frameworkTomas Doran
In this talk, I will talk about why log files are horrible, logging log lines, and more structured performance metrics from large scale production applications as well as building reliable, scaleable and flexible large scale software systems in multiple languages.
Why (almost) all log formats are horrible will be explained, and why JSON is a good solution for logging will be discussed, along with a number of message queuing, middleware and network transport technologies, including STOMP, AMQP and ZeroMQ.
The Message::Passing framework will be introduced, along with the logstash.net project which the perl code is interoperable with. These are pluggable frameworks in ruby/java/jruby and perl with pre-written sets of inputs, filters and outputs for many many different systems, message formats and transports.
They were initially designed to be aggregators and filters of data for logging. However they are flexible enough to be used as part of your messaging middleware, or even as a replacement for centralised message queuing systems.
You can have your cake and eat it too - an architecture which is flexible, extensible, scaleable and distributed. Build discrete, loosely coupled components which just pass messages to each other easily.
Integrate and interoperate with your existing code and code bases easily, consume from or publish to any existing message queue, logging or performance metrics system you have installed.
Simple examples using common input and output classes will be demonstrated using the framework, as will easily adding your own custom filters. A number of common messaging middleware patterns will be shown to be trivial to implement.
Some higher level use-cases will also be explored, demonstrating log indexing in ElasticSearch and how to build a responsive platform API using webhooks.
Interoperability is also an important goal for messaging middleware. The logstash.net project will be highlighted and we'll discuss crossing the single language barrier, allowing us to have full integration between java, ruby and perl components, and to easily write bindings into libraries we want to reuse in any of those languages.
Apache Solr on Hadoop is enabling organizations to collect, process and search larger, more varied data. Apache Spark is is making a large impact across the industry, changing the way we think about batch processing and replacing MapReduce in many cases. But how can production users easily migrate ingestion of HDFS data into Solr from MapReduce to Spark? How can they update and delete existing documents in Solr at scale? And how can they easily build flexible data ingestion pipelines? Cloudera Search Software Engineer Wolfgang Hoschek will present an architecture and solution to this problem. How was Apache Solr, Spark, Crunch, and Morphlines integrated to allow for scalable and flexible ingestion of HDFS data into Solr? What are the solved problems and what's still to come? Join us for an exciting discussion on this new technology.
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4. RabbitMQ
• Message Broker
• Open Source
• AMPQ implementation
• Written in Erlang
• Lots of AMQP client libraries
• Wide community and commercial support
6. Use Cases
• Send notifications to users
• Process heavy work/tasks with multiple workers
Upload picture, make thumbnails, clear CDN caches…
• Distribute logs/messages to multiple endpoints
• Interoperability between different platforms
• Remote Procedure Call
7. AMQP
Advanced Message Queuing Protocol
• Open Standard Protocol coming from finance
• Interoperable Messaging Middleware
• Queuing
• Routing (point-to-point and publish-and-subscribe)
• Reliability
• Security
12. Topic Exchange
A Topic Exchange sends a message to a queue if the message's
routing key matches the binding key for the queue, using wildcard matching
20. Work Queues / Task Queues
• Avoid doing a resource-intensive task immediately
• Schedule the task to be done later
• Encapsulate a task as a message and send it to a
queue
• A worker process running in the background will
execute the job
• Multiple workers will share tasks
23. Publish/Subscribe
• Task queues: task is delivered to exactly one worker
• Pub/Sub: deliver a message to multiple consumers
• Published messages are going to be broadcast to all
the receivers
• Fanout exchanges
29. Topics
• Direct exchanges cannot do routing based on multiple criteria
• Example: how to combine “severity” and “resource”
• Topic exchange: messages are sent with a routing key
composed by a list of words, delimited by dots
• * (star) can substitute for exactly one word
• # (hash) can substitute for zero or more words
32. RPC
• Work Queues = distribute time-consuming tasks
among multiple workers
• Remote Procedure Call or RPC = run a function on a
remote computer and wait for the result