Lorenzo Alberton

On batching vs. latency, and jobqueue models

A little journey exploring job queue models and debunking some programming folklore around the effects of batching on latency.  

Updated Kafka PHP client library

New PHP client library for the Apache Kafka project. Full support for Kafka 0.7+, with robust socket handling, complete test suite, Zookeeper-based consumer and many other improvements.  

Musings on some technical papers I read this weekend: Google Dremel, NoSQL comparison, Gossip Protocols

Some random comments on Dremel and a benchmark on Key-Value stores. How to evaluate technical papers and read between the lines.  

Historical Twitter access - A journey into optimising Hadoop jobs

A journey into optimising Hadoop jobs: the strategies to scan and filter a PetaByte of archived data, schedule new jobs and deliver data fast.  

Kafka proposed as Apache incubator project

Kafka is a distributed publish-subscribe messaging system developed at LinkedIn, designed to support a very high throughput, persistent messages and parallel loading into Hadoop. A proposal has been submitted to make Kafka an Apache incubator project.  

BBC Homepage

BBC, a world-renowned media company, needs no introduction. After redesigning the home page of their web site on December 2007, they decided to rewrite the underlying code and architecture.  

BBC iPlayer

The BBC iPlayer, simply known as the iPlayer, is an internet television, radio, and cable television service, developed by the BBC and offering high-definition media streams. The new generation of the site (released in summer 2010) brings a new, cleaner interface, and integration with various social networking sites to the TV on-demand service.  

BBC Sport

BBC, a world-renowned media company, needs no introduction. I helped several BBC teams (Sports, Music, ...) with the migration to the new web framework and with website performances.  

Channel 5

Channel 5 (aka Five.tv) is the UK's fifth terrestrial TV channel. Ibuildings was one of the few selected tech partners chosen to drive their effort towards a renewed and stronger web presence.  

AVG

AVG is one of the world's most recognizable names in online threat protection, with more than 110 million users protected by their software and excellent ratings from the independent antivirus testing labs.  

Facebook Topic Data

At DataSift, we built the next generation, privacy-first analysis platform for Facebook Topic Data. Facebook Topic Data shows marketers what audiences are saying on Facebook about events, brands, subjects and activities, all in a way that keeps personal information private. Marketers use the information from topic data to make better decisions about how they market on Facebook and other channels, and build product roadmaps.  

LinkedIn Engagement Insights

PYLON for LinkedIn Engagement Insights enables companies to discover what professionals are reading, sharing, and saying about products, industries, brands, and news on the world’s largest professional network.  

Memcache mover - migrate contents between clusters

This is a simple tool to help with copying the contents of a memcache cluster into a new one, helping with migrations.  

Golang client library for Apache Kafka v.0.5 - 0.7.x.

Apache Kafka is a high-throughput distributed publish-subscribe messaging system written by the LinkedIn Data Team. I contributed a Golang client providing both a Producer and a Consumer for v.0.5 - 0.7.x.  

Layered Dependency Solver

Layer-based scheduling algorithm for parallel tasks with dependencies. Determines which tasks can be executed in parallel, by evaluating dependencies. Given a list of entries (each with its own dependency list), it can sort them in layers of execution, where all entries in the same layer can be executed in parallel, and have no other dependency than the previous layer.  

Task / worker pool manager in Go

* Start cli tasks automatically * Maintain the desired number of worker processes for each task * Handle automatic restarts when a worker dies or stalls The task manager is be able to start any cli (shell) script from the chosen directory. For tasks that are long-running and meant to be monitored continuously, each worker process should send regular keep-alive messages via a ZeroMQ PUB-SUB channel to communicate its health, and should handle SIGTERM messages when asked to terminate. If the worker doesn't respond to a SIGTERM signal, it will be killed with SIGKILL after a (configurable) grace period. The number of workers stalled/stopped since the task manager was started is reported in the task status.  

Golang client library for Statsd

Golang client library for StatsD. Contains a direct and a buffered client. The buffered version will hold and aggregate values for the same key in memory before flushing them at the defined frequency.  

Scaling teams, processes and architectures

Talk about the soft side of scalability, covering team management, process implementation and some solid technology-related principles. Based on 10 years of experience building scalable teams and scalable data platforms.  

Monitoring at scale - Intuitive dashboard design

At a certain scale, millions of events happen every second, and all of them are important to evaluate the health of the system. If not handled correctly, such a volume of information can overwhelm both the infrastructure that needs to support them, and people who have to make a sense out of thousands of signals and make decisions upon them, fast. By understanding how our rational mind works, how people process information, we can present data so it's more evident and intuitive. This talk will explain how to collect useful metrics, and to create the perfect monitoring dashboard to organise and display them, letting our intuition operate automatically and quickly, and saving attention and mental effort to activities that demand it.  

Monitoring at scale - Intuitive dashboard design

At a certain scale, millions of events happen every second, and all of them are important to evaluate the health of the system. If not handled correctly, such a volume of information can overwhelm both the infrastructure that needs to support them, and people who have to make a sense out of thousands of signals and make decisions upon them, fast. By understanding how our rational mind works, how people process information, we can present data so it's more evident and intuitive. This talk will explain how to collect useful metrics, and to create the perfect monitoring dashboard to organise and display them, letting our intuition operate automatically and quickly, and saving attention and mental effort to activities that demand it.  

Scaling teams, processes and architectures

When we think about scalability, we only focus on the technical details, forgetting two equally important aspects, people and processes. In this talk we'll cover the fundamental elements of scalability, both organisational and technical, with sound and proven principles and some advice on how to shape your organisation, set the right processes and design your application  

Monitoring at scale - Intuitive dashboard design

At a certain scale, millions of events happen every second, and all of them are important to evaluate the health of the system. If not handled correctly, such a volume of information can overwhelm both the infrastructure that needs to support them, and people who have to make a sense out of thousands of signals and make decisions upon them, fast. By understanding how our rational mind works, how people process information, we can present data so it's more evident and intuitive. This talk will explain how to collect useful metrics, and to create the perfect monitoring dashboard to organise and display them, letting our intuition operate automatically and quickly, and saving attention and mental effort to activities that demand it.  

VP of Engineering

Direction of the Engineering group and part of the Executive Team. Supervision of development of SaaS platform. Responsible for direction and growth of the Engineering organisation, with very tight collaboration with the Product and Design functions.

Resident Advisor

The OXFO Elevate accelerator is an intensive 6-month hands-on programme helping support University of Oxford affiliated pre-seed to seed stage companies grow and scale. To date, the accelerator has supported 32 ventures who have raised £40m+, created more than 150 jobs and creating positive impact around the world across all sectors and industries.

As a Resident Expert, I work closely with OXFO’s Elevate accelerator programme ventures to support them across all areas of their venture to give them the best opportunity to succeed whilst in the programme. This involves fostering close relationships with the founding team, sharing my knowledge and experience through 1:1 o group mentoring sessions, as well as opening my networks when appropriate.

Advisor

Help with definition of the business proposition and tech strategy of Backbone AI, new company in the supply chain management space.

Chief Technology Officer

Direction of the Engineering/QA/Operations groups (~60 people) and part of the Executive Team. Management of technical and operational relationships with data partners. Involved in all due diligence and M&A conversations. Design and hands-on implementation of the DataSift Data Platform - a SaaS platform producing state-of-the-art, privacy-safe data analysis, filtering and aggregation technology, handling billions of user-generated messages and events in real time every day. We built the data-business for the world’s biggest social networks, and pioneered privacy-safe analytics models for analyzing human-created data.

Highlights:   Facebook Topic Data  |  Linkedin Engagement Insights

Technical Team Lead

Technical Lead for various teams and different projects, specialised in the design and optimisation of business-critical, scalable web architectures for large enterprise companies (BBC, Channel 5, Ladbrokes, AVG, Sybase, Cable & Wireless, Dennis Publishing, etc.), always delivering on time and with outstanding quality: in processes, design, code, tests, business analysis, communication and security.

Machine Learning / Natural Language Processing Researcher

Natural Language Processing R&D job, fund granted by the Research Consortium of Turin Polytechnic. Developed several Automatic Text Classifiers (with focus on opinion mining and sentiment analysis), an Information Extraction system and many language processing modules. SVM, Neural Networks, Naïve Bayes, Associative Classifiers.

Consultant - Software Engineer

IT consulting for various companies. Designer and developer of Intranet applications and web sites. Active contributor to various popular PHP & Go open-source projects and frameworks. Author of technical articles.   Some notable projects:

• Archaeogate, the most important egyptology/archeology web portal in Europe for years. Winner of grant for R&D project (Progetto Alfieri 2007/2008, Fondazione CRT) on text mining/classification in the archaeological domain.
• Worldwide Benedictine Confederation web portal and other pro-bono projects.
• Lead developer / maintainer of ~20 PHP PEAR projects (PHP Extension and Application Repository)
• Developer of official / popular Apache Kafka client libraries (PHP, Go, C++) and StatsD libraries.
• Contributor to the Seagull PHP Framework and to the WACT PHP Framework.
• Designer and lead developer of NewsLogic, Content Management System and Intranet for American newspapers.
• National Molding Italia, repeated consultancies on their IT processes; built web-based process tracking software.