Francesco Cesarini
Co-author of Designing for scalability with Erlang/OTP
Founder of Erlang Solutions Ltd. Francesco has used Erlang on a daily basis since 1995, starting as an intern at Ericsson’s computer science laboratory, the birthplace of Erlang. He moved on to Ericsson’s Erlang training and consulting arm working on the first release of OTP, applying it to turnkey solutions and flagship telecom applications. In 1999, soon after Erlang was released as open source, he founded Erlang Solutions, who have become the world leaders in Erlang based consulting, contracting, training and systems development.
Francesco has worked in major Erlang based projects both within and outside Ericsson, and as Technical Director, has led the development and consulting teams at Erlang Solutions.
He is the co-author of 'Erlang Programming' and 'Designing for Scalability with Erlang/OTP' both published by O'Reilly. Francesco is also a lecturer at the University of Oxford, and has participated in the Future Learn Erlang MOOC, O'Reilly and University of Kent online Master Classes and is a regular conference speaker and tutor.
Past Activities
Code Mesh V
20.00 - 23.30
Architecting Reactive Systems for Scalability and Availability
Learn how to architect fault-tolerant, scalable, soft, real-time systems with requirements for high availability.
In this tutorial, we will look at the steps needed to design scalable and resilient systems. The lessons learnt apply to the Erlang ecosystem, Elixir included, but are in fact technology agnostic and could be applied to most stacks, including Scala/AKKA, .net and others.
It has to be event driven and react to external stimulus, load, and failure. It must always be responsive. You have heard many success stories that suggest Erlang is the right tool for the job. And indeed it is—but while Erlang is a powerful programming language, on its own, it’s not enough to group these features together and build complex reactive systems. To get the job done correctly, quickly, and efficiently, you also need middleware, reusable libraries, tools, design principles, and a programming model that tells you how to architect and distribute your system.
EXPERTISE
Intermediate
TARGET AUDIENCE
Software Developers and architects
DURATION
3,5 hours
PREREQUISITES
Software development experience is a must, as is the understanding of data consistency models. Experience or exposure to designing and architecting systems is a benefit, but not a prerequisite.
OBJECTIVES
We will focus on:
- Distribution: This section covers how to break up your system into manageable microservices. How do you collect these micro services into nodes, which together form distributed architectural patterns, giving you your end-to-end system? What network connectivity do you use to let them communicate with each other?
- Interfaces and state: This section covers how you define your service interfaces. What data and state do you distribute across your nodes, clusters, and data centers? And if requests fail across nodes, what is your recovery strategy?
- Availability: You need at least two computers to make a fault-tolerant system. When dealing with fault tolerance, you have to make decisions about resilience and reliability. This section covers techniques needed to make sure your system never fails and the trade-offs you need to make in your design.
- Scalability: When you picked your distributed pattern, decided how to distribute your data, and made choices on fault tolerance, resilience, and reliability, you also made trade-offs on scalability. This section covers the decisions you have to make and how they affect scalability, as well as how to deal with capacity planning, load regulation, and back pressure.
- Observability: This section covers the importance of visibility on both a business level and a system level. To achieve five-nines availability, you need preemptive support and automation. To trigger automation, you need to know the state of your system and be able to react to it as quickly as possible. This includes metrics, alarms, and notifications.
The tutorial is based on the last four chapters of Designing for Scalability with Erlang/OTP by Francesco Cesarini.
Code BEAM America 2021
09.00 - 13.00
Architecting Reactive Systems for Scalability and Availability
Learn how to architect fault-tolerant, scalable, soft, real-time systems with requirements for high availability.
In this tutorial, we will look at the steps needed to design scalable and resilient systems. The lessons learnt apply to the Erlang ecosystem, Elixir included, but are in fact technology agnostic and could be applied to most stacks, including Scala/AKKA, .net and others.
It has to be event driven and react to external stimulus, load, and failure. It must always be responsive. You have heard many success stories that suggest Erlang is the right tool for the job. And indeed it is—but while Erlang is a powerful programming language, on its own, it’s not enough to group these features together and build complex reactive systems. To get the job done correctly, quickly, and efficiently, you also need middleware, reusable libraries, tools, design principles, and a programming model that tells you how to architect and distribute your system.
EXPERTISE
Intermediate
TARGET AUDIENCE
Software Developers and architects
DURATION
3,5 hours
PREREQUISITES
Software development experience is a must, as is the understanding of data consistency models. Experience or exposure to designing and architecting systems is a benefit, but not a prerequisite.
OBJECTIVES
We will focus on:
- Distribution: This section covers how to break up your system into manageable microservices. How do you collect these micro services into nodes, which together form distributed architectural patterns, giving you your end-to-end system? What network connectivity do you use to let them communicate with each other?
- Interfaces and state: This section covers how you define your service interfaces. What data and state do you distribute across your nodes, clusters, and data centers? And if requests fail across nodes, what is your recovery strategy?
- Availability: You need at least two computers to make a fault-tolerant system. When dealing with fault tolerance, you have to make decisions about resilience and reliability. This section covers techniques needed to make sure your system never fails and the trade-offs you need to make in your design.
- Scalability: When you picked your distributed pattern, decided how to distribute your data, and made choices on fault tolerance, resilience, and reliability, you also made trade-offs on scalability. This section covers the decisions you have to make and how they affect scalability, as well as how to deal with capacity planning, load regulation, and back pressure.
- Observability: This section covers the importance of visibility on both a business level and a system level. To achieve five-nines availability, you need preemptive support and automation. To trigger automation, you need to know the state of your system and be able to react to it as quickly as possible. This includes metrics, alarms, and notifications.
The tutorial is based on the last four chapters of Designing for Scalability with Erlang/OTP by Francesco Cesarini.
Code BEAM SF
17.10 - 17.55