Fast and cost effective geospatial analysis pipeline with AWS lambdaMila Frerichs
The need for fast and cost effective geospatial analysis pipelines is always present. With the new serverless services out there it is getting more easy and accessible to create an analysis pipeline that is cost effective and fast.
This talk will show how to use the power of serverless infrastructure and AWS to get fast results at a low cost.
It will show how to use geospatial analysis both in python and node environments. How to install the important libraries that you need for your daily analysis. And how to test out your Lambda functions locally to save even more money.
Building a DSL with GraalVM (VoxxedDays Luxembourg)Maarten Mulders
GraalVM is a virtual machine that can run many languages on top of the Java Virtual Machine. It comes with support for JavaScript, Ruby, Python… But what if you're building a DSL, or your language is not listed? Fear not!
In this session we'll discover what it takes to run another language in GraalVM. Using GraalVM, we don't only get a fast runtime, but we'll also get great tool support. With Brainfuck as an example, we'll see how we can run guest languages inside Java applications. It might not bring us profit, but at least it will bring some fun.
GraalVM is a virtual machine that can run many languages on top of the Java Virtual Machine. It comes with support for JavaScript, Ruby, Python… But what if you're building a DSL, or your language is not listed? Fear not!
In this session we'll discover what it takes to run another language in GraalVM. Using GraalVM, we don't only get a fast runtime, but we'll also get great tool support. With Brainfuck as an example, we'll see how we can run guest languages inside Java applications. It might not bring us profit, but at least it will bring some fun.
Fast and cost effective geospatial analysis pipeline with AWS lambdaMila Frerichs
The need for fast and cost effective geospatial analysis pipelines is always present. With the new serverless services out there it is getting more easy and accessible to create an analysis pipeline that is cost effective and fast.
This talk will show how to use the power of serverless infrastructure and AWS to get fast results at a low cost.
It will show how to use geospatial analysis both in python and node environments. How to install the important libraries that you need for your daily analysis. And how to test out your Lambda functions locally to save even more money.
Building a DSL with GraalVM (VoxxedDays Luxembourg)Maarten Mulders
GraalVM is a virtual machine that can run many languages on top of the Java Virtual Machine. It comes with support for JavaScript, Ruby, Python… But what if you're building a DSL, or your language is not listed? Fear not!
In this session we'll discover what it takes to run another language in GraalVM. Using GraalVM, we don't only get a fast runtime, but we'll also get great tool support. With Brainfuck as an example, we'll see how we can run guest languages inside Java applications. It might not bring us profit, but at least it will bring some fun.
GraalVM is a virtual machine that can run many languages on top of the Java Virtual Machine. It comes with support for JavaScript, Ruby, Python… But what if you're building a DSL, or your language is not listed? Fear not!
In this session we'll discover what it takes to run another language in GraalVM. Using GraalVM, we don't only get a fast runtime, but we'll also get great tool support. With Brainfuck as an example, we'll see how we can run guest languages inside Java applications. It might not bring us profit, but at least it will bring some fun.
Sebastian Pożoga
Z komputerami miałem styczność, odkąd pamiętam. Od początku moje zainteresowania podzielone były między elektronikę a programowanie. Poświęciłem się drugiemu. Jednak rozwój mikrokomputerów pozwolił mi przypomnieć sobie o starej pasji. Jestem organizatorem HardGroup, Poznańskiej społeczności osób hobbystycznie i zawodowo się elektroniką i majsterkowaniem. Organizujemy darmowe spotkania i warsztaty, na które serdecznie zapraszam. Po pracy rozwijam własne projekt. Odwiedzam liczne imprezy edukacyjne i konferencje. Prowadzę bloga. Jestem dumny, że pomagam rozwijać pasję innym.
Temat prelekcji: GOLang & GoatCore
GOLang to nowy język Google. Już prawie od 10-lecia rozwijany i promowany przez firmę. Podczas prezentacji opowiem, jakie ma mocne strony. Ile nauczyłem się, rozwijając projekt Open Source w GO i dlaczego mi się tak podoba. Podczas prezentacji omówię, dlaczego powstał GoatCore, jak działa i kiedy nam pomaga. Omówię różne elementy języka. Poruszę temat współbieżności, optymalizacji pamięci, dependency injection, optymalizacji. Prezentacja jest przeznaczona dla doświadczonych programistów, którzy w stopniu co najmniej dobrym znają inny język programowania, narzędzia i wzorce projektowe. Omówię specyfikę języka i charakterystyczne cechy. Jednak skupiać się będę na konkretnych problemach i rozwiązaniach.
GoatCore źródło: github.com/goatcms/goatcore
Slides from session at Derbycon 8.0.
Description:
Want to get a good overview of AppLocker and the different AppLocker bypasses and at the same time learn how defenders can harden their environments to prevent them? Then this is a talk you don't want to miss. This talk will cover a vast amount of bypass techniques and how to harden AppLocker to make it even harder to bypass. Giving you help to either start or avoid an App-o-Lockalypse.
Fundamental Git workflow/tips/tricks for newb by newb.
** Download PowerPoint slide: https://dl.dropbox.com/u/11357190/Shared%20Files/git-slide/git-beginner.pptx
Sebastian Pożoga
Z komputerami miałem styczność, odkąd pamiętam. Od początku moje zainteresowania podzielone były między elektronikę a programowanie. Poświęciłem się drugiemu. Jednak rozwój mikrokomputerów pozwolił mi przypomnieć sobie o starej pasji. Jestem organizatorem HardGroup, Poznańskiej społeczności osób hobbystycznie i zawodowo się elektroniką i majsterkowaniem. Organizujemy darmowe spotkania i warsztaty, na które serdecznie zapraszam. Po pracy rozwijam własne projekt. Odwiedzam liczne imprezy edukacyjne i konferencje. Prowadzę bloga. Jestem dumny, że pomagam rozwijać pasję innym.
Temat prelekcji: GOLang & GoatCore
GOLang to nowy język Google. Już prawie od 10-lecia rozwijany i promowany przez firmę. Podczas prezentacji opowiem, jakie ma mocne strony. Ile nauczyłem się, rozwijając projekt Open Source w GO i dlaczego mi się tak podoba. Podczas prezentacji omówię, dlaczego powstał GoatCore, jak działa i kiedy nam pomaga. Omówię różne elementy języka. Poruszę temat współbieżności, optymalizacji pamięci, dependency injection, optymalizacji. Prezentacja jest przeznaczona dla doświadczonych programistów, którzy w stopniu co najmniej dobrym znają inny język programowania, narzędzia i wzorce projektowe. Omówię specyfikę języka i charakterystyczne cechy. Jednak skupiać się będę na konkretnych problemach i rozwiązaniach.
GoatCore źródło: github.com/goatcms/goatcore
Slides from session at Derbycon 8.0.
Description:
Want to get a good overview of AppLocker and the different AppLocker bypasses and at the same time learn how defenders can harden their environments to prevent them? Then this is a talk you don't want to miss. This talk will cover a vast amount of bypass techniques and how to harden AppLocker to make it even harder to bypass. Giving you help to either start or avoid an App-o-Lockalypse.
Fundamental Git workflow/tips/tricks for newb by newb.
** Download PowerPoint slide: https://dl.dropbox.com/u/11357190/Shared%20Files/git-slide/git-beginner.pptx
Quick overview of Docker and its usage.
Illustrated with a cluster of Rails applications and a Ruby load balancing proxy on top of them.
This presentation was made during the rivierarb meetup in Sophia-Antipolis on 2014 Feb 04th by Muriel Salvan.
My 2013-03-05 Riviera.rb quines talk slides. I'm afraid there's not much left without the speech and live demos.
Quines are programs (or, more generally, concepts) that reproduce themselves. During this talk we explored how they were possible, what they could look like, how to generate them and how to generalize them,
The raw material of my Sophia Antipolis Ruby Drinkup talk on esoteric languages.
This deck isn't really suitable for plain browsing with no commentary.
This surprise talk was given on 2014-06-03 at Riviera.rb.
The slides are really just up for reference: unless you're a sociopathic genius with an uncanny cultural fit, you're really not going to understand much without the speech.
Processing massive amount of data with Map Reduce using Apache Hadoop - Indi...IndicThreads
Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011.
http://CloudComputing.IndicThreads.com
Abstract: The processing of massive amount of data gives great insights into analysis for business. Many primary algorithms run over the data and gives information which can be used for business benefits and scientific research. Extraction and processing of large amount of data has become a primary concern in terms of time, processing power and cost. Map Reduce algorithm promises to address the above mentioned concerns. It makes computing of large sets of data considerably easy and flexible. The algorithm offers high scalability across many computing nodes. This session will introduce Map Reduce algorithm, followed by few variations of the same and also hands on example in Map Reduce using Apache Hadoop.
Speaker: Allahbaksh Asadullah is a Product Technology Lead from Infosys Labs, Bangalore. He has over 5 years of experience in software industry in various technologies. He has extensively worked on GWT, Eclipse Plugin development, Lucene, Solr, No SQL databases etc. He speaks at the developer events like ACM Compute, Indic Threads and Dev Camps.
Gisting is an implementation of Google\'s MapReduce framework for processing and extracting useful information from very large data sets. At the time of this writing, the code is available for PREVIEW at http://github.com/mchung/gisting. I am currently working to release this framework for general usage.
Postgres & Redis Sitting in a Tree- Rimas Silkaitis, HerokuRedis Labs
Postgres and Redis Sitting in a Tree | In today’s world of polyglot persistence, it’s likely that companies will be using multiple data stores for storing and working with data based on the use case. Typically a company will
start with a relational database like Postgres and then add Redis for more high velocity use-cases. What if you could tie the two systems together to enable so much more?
"Puppet at GitHub / ChatOps" from PuppetConf 2012, by Jesse Newland
Video of "Puppet at GitHub": http://bit.ly/WVS3vQ
Learn more about Puppet: http://bit.ly/QQoAP1
Abstract: Ops at GitHub has a unique challenge - keeping up with the rabid pace of features and products that the GitHub team develops. In this talk, we'll focus on tools and techniques we use to rapidly and confidently ship infrastructure changes/features with Puppet using Puppet-Rspec, CI, Puppet-Lint, branch puppet deploys, and Hubot.
Speaker Bio: Jesse Newland does Ops at GitHub. His favorite hobby is SPOF wack-a-mole, followed closely by guitar and piano. Prior to GitHub, Jesse was the CTO at Rails Machine where he ran a large private cloud and managed several hundred production Ruby on Rails applications using Puppet. To the delight and/or chagrin of the Puppet community, Jesse is to blame for Moonshine, the Ruby DSL for Puppet before Puppet had a Ruby DSL.
The slides we used at the first meetup hosted at Redis Labs' TLV offices :)
Touches on some of the more notable user-facing functionality in the newest Redis version, as well as interesting internal optimizations with major gains.
#RedisTLV: www.meetup.com/Tel-Aviv-Redis-Meetup/events/227594422/
7. lazy enumerators
build an internal block and iterates only once
enumerate infinite or very large datasets
iterate on a file without loading it all
map
flat_map
select
reject
grep
zip
take
take_while
drop
drop_while
cycle
12. so, what's new ?
module#prepend
declarations of the module overwrite those in the class
Array#bsearch { |x| block }
elements have to be ordered or nil is returned
Enumerator#size, Range#size
#to_h
convert Struct and OpenStruct to Hash
%i and %I
%i{one two three} => [:one, :two, :three]
Dtrace support
13. what changed ?
onigmo (new regex engine)
positive and negative lookbehind, named captures, backreferences improved
garbage collector
bitmap marking, smaller memory footprint
psych (use libyaml)
default encoding now is UTF-8
respond_to? returns false for protected methods
iconv has been removed
use String#encode instead