Yep, I’m jumping on the AI content bandwagon… because let’s face it, it’s uncharted territory & it’s equally as fascinating as it is terrifying.
I discovered ChatGPT in December & mostly used it to write nonsensical stories about what would occur on the night of our Christmas bar crawl. It turned out that the app’s prediction that Danny would be abducted by aliens wasn’t accurate, although he did go missing when he was due to buy his round.
I’ve chosen a few companies that are running BEAM in production & asked ChatGPT to tell us what they’re using it for. Then I’d like to challenge the community to find inaccuracies in the information, let’s see how far we are from SkyNet’s inevitable world domination
Bet365
Hayden: Hello ChatGPT, please can you tell me what Bet365 uses Erlang & BEAM for? (it pays to be polite)
ChatGPT: Sure, Bet365 uses Erlang and BEAM for a variety of purposes, including:
Building a high-performance, scalable, and fault-tolerant platform: Erlang and BEAM are particularly well-suited for building large-scale, distributed systems that can handle a high volume of traffic with low latency. Bet365 uses Erlang and BEAM to build their platform that can process a large number of user requests and bets simultaneously, while also providing a seamless and reliable user experience.
Handling real-time communications: Erlang's concurrency model and message-passing architecture make it ideal for building real-time communication systems. Bet365 uses Erlang and BEAM to handle real-time communication between their platform and users, ensuring that users receive up-to-date information about their bets and the status of sporting events.
Managing distributed systems: BEAM's built-in support for distributed systems allows Bet365 to build and manage complex systems that span multiple servers and data centers. This enables Bet365 to provide a highly available and reliable platform to users around the world.
Call center systems: Bet365 also uses Erlang and BEAM to build their call center system, which enables their support team to efficiently manage incoming customer queries and issues.
Overall, Bet365's use of Erlang and BEAM enables them to build a scalable, reliable, and high-performance platform that can handle a large volume of traffic with low latency, while also providing a seamless and reliable user experience.
BBC
Hayden: Thank you for that ChatGPT, can you tell me what the BBC are using Elixir & BEAM for?
ChatGPT: Certainly! The BBC (British Broadcasting Corporation) is a well-known media organization that uses Elixir and the BEAM virtual machine for several purposes, including:
Building highly scalable and fault-tolerant systems: Elixir and BEAM are well-suited for building distributed systems that can handle a high volume of traffic with low latency. The BBC uses Elixir and BEAM to build their systems, which can handle a large number of user requests and traffic, while also providing a seamless and reliable user experience.
Data processing and analysis: Elixir is also well-suited for processing and analyzing large amounts of data. The BBC uses Elixir and BEAM to build data processing pipelines that can handle a large volume of data and perform complex calculations in real-time.
Building chatbots: Elixir's functional programming paradigm and actor model make it ideal for building chatbots. The BBC uses Elixir and BEAM to build chatbots that can interact with users and provide them with relevant information about news, weather, and other topics.
Developing microservices: Elixir's lightweight processes and message-passing architecture make it ideal for building microservices. The BBC uses Elixir and BEAM to build microservices that can handle specific functions and can be easily integrated with other systems.
Overall, the BBC's use of Elixir and BEAM enables them to build highly scalable and fault-tolerant systems that can handle a large volume of traffic, process and analyze data in real-time, and provide a seamless and reliable user experience.
Klarna
Hayden: Could you tell me what Klarna are using Erlang & BEAM for?
ChatGPT: Sure! Klarna, the Swedish fintech company that offers payment and banking services, uses Erlang and BEAM for several purposes, including:
1. Building high-performance, scalable, and fault-tolerant systems: Erlang and BEAM are particularly well-suited for building large-scale, distributed systems that can handle a high volume of traffic with low latency. Klarna uses Erlang and BEAM to build their platform that can process a large number of user requests and transactions simultaneously, while also providing a seamless and reliable user experience.
2. Managing real-time payment transactions: Erlang's concurrency model and message-passing architecture make it ideal for building real-time payment systems. Klarna uses Erlang and BEAM to handle real-time payment transactions, ensuring that users receive up-to-date information about their transactions and the status of their accounts.
3. Managing customer service systems: Klarna also uses Erlang and BEAM to build their customer service system, which enables their support team to efficiently manage incoming customer queries and issues.
4. Developing microservices: Erlang's lightweight processes and message-passing architecture make it ideal for building microservices. Klarna uses Erlang and BEAM to build microservices that can handle specific functions and can be easily integrated with other systems.
Overall, Klarna's use of Erlang and BEAM enables them to build a scalable, reliable, and high-performance platform that can handle a large volume of traffic with low latency, while also providing a seamless and reliable user experience for their payment and banking services.
Forza Football
Hayden: Could you tell me what Forza Football are using Elixir & BEAM for?
ChatGPT: Certainly! Forza Football, a Swedish mobile app that provides real-time soccer scores, statistics, and news, uses Elixir and BEAM for several purposes, including:
1. Real-time data processing: Elixir and BEAM are well-suited for processing and analyzing real-time data. Forza Football uses Elixir and BEAM to process large amounts of soccer data, such as live scores, match statistics, and news updates, in real-time.
2. Building scalable and fault-tolerant systems: Elixir and BEAM are particularly well-suited for building large-scale, distributed systems that can handle a high volume of traffic with low latency. Forza Football uses Elixir and BEAM to build their platform that can process a large number of user requests and data streams simultaneously, while also providing a seamless and reliable user experience.
3. Developing chatbots: Elixir's functional programming paradigm and actor model make it ideal for building chatbots. Forza Football uses Elixir and BEAM to build chatbots that can interact with users and provide them with relevant information about soccer matches and news.
4. Developing microservices: Elixir's lightweight processes and message-passing architecture make it ideal for building microservices. Forza Football uses Elixir and BEAM to build microservices that can handle specific functions, such as collecting and processing data from different sources, and can be easily integrated with other systems.
Overall, Forza Football's use of Elixir and BEAM enables them to build a scalable, reliable, and high-performance platform that can handle a large volume of real-time soccer data, while also providing a seamless and engaging user experience for their users.
Cabify
Hayden: Could you tell me what Cabify is using Elixir & BEAM for?
ChatGPT: Certainly! Cabify, the Spanish ride-hailing company that operates in several Latin American and European countries, uses Elixir and BEAM for several purposes, including:
1. Building high-performance, scalable, and fault-tolerant systems: Elixir and BEAM are particularly well-suited for building large-scale, distributed systems that can handle a high volume of traffic with low latency. Cabify uses Elixir and BEAM to build their platform that can process a large number of ride requests and data streams simultaneously, while also providing a seamless and reliable user experience.
2. Managing real-time ride data: Elixir's concurrency model and message-passing architecture make it ideal for building real-time ride-hailing systems. Cabify uses Elixir and BEAM to handle real-time ride requests, driver and passenger matching, and tracking the status of ongoing rides.
3. Developing microservices: Elixir's lightweight processes and message-passing architecture make it ideal for building microservices. Cabify uses Elixir and BEAM to build microservices that can handle specific functions, such as payment processing, location tracking, and driver rating systems, and can be easily integrated with other systems.
4. Testing and debugging: Elixir's built-in testing framework and debugging tools make it easier for Cabify developers to write and test their code, ensuring that their systems are reliable and free of bugs.
Overall, Cabify's use of Elixir and BEAM enables them to build a scalable, reliable, and high-performance ride-hailing platform that can handle a large volume of ride requests with low latency, while also providing a seamless and reliable user experience for their passengers and drivers.
Demonware
Hayden: Could you tell me what Demonware uses Erlang & BEAM for?
ChatGPT: Demonware, an Irish software development company that specializes in developing backend technologies for video games, uses Erlang and BEAM for several purposes, including:
1. Real-time game server infrastructure: Erlang and BEAM are well-suited for building large-scale, real-time game server infrastructure. Demonware uses Erlang and BEAM to build their platform that can handle a large number of concurrent players and game sessions, while also providing low latency and high availability.
2. Matchmaking and lobby systems: Erlang's concurrency model and message-passing architecture make it ideal for building matchmaking and lobby systems for multiplayer games. Demonware uses Erlang and BEAM to manage player matchmaking, session creation, and lobby management for several popular games.
3. Distributed systems and fault tolerance: Erlang and BEAM are particularly well-suited for building distributed systems that can handle faults and errors. Demonware uses Erlang and BEAM to build fault-tolerant systems that can automatically recover from failures, ensuring high availability and reliability for their game servers.
4. Monitoring and performance analysis: Erlang and BEAM come with built-in monitoring and analysis tools that make it easier for Demonware developers to monitor and analyze the performance of their game servers and systems, ensuring that they are running smoothly and efficiently.
Overall, Demonware's use of Erlang and BEAM enables them to build scalable, reliable, and high-performance backend technologies for video games, providing a seamless and engaging experience for their players.
Initial thoughts
Whilst there seems to be some interesting information amongst the answers, it does feel quite generic. It's interesting how ChatGPT seems to make assumptions about how BEAM is used based on the company's industry, however I'm not sure how accurate it is overall.
I'd like to hear your thoughts, especially if you work for one of the companies mentioned.. feel free to comment below or contact me via e-mail at Hayden@beamrec.com