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This is the latest in our “Inside the Stack” series. This week, we hear from Alexis Lê-Quôc, the CTO & Co-Founder of Datadog, the popular monitoring and analytics platform. Alexis and his team have open positions on their engineering, sales, and operations teams.
Describe Datadog in 2-3 sentences.
Datadog is a monitoring service for cloud-based infrastructures. With Datadog, you get real-time visibility into the performance of your entire stack: from the lowest layers (the hypervisor and operating system) to the highest ones (your application code), and everything in between (Docker, databases, 3rd-party services). You also get a monitoring platform that works without your constant care and feeding whether you run 50 or 50,000 hosts.
What are your primary programming languages?
Because we want to support as many modern stacks as possible, our community at large has built Datadog modules in 10 different languages.
What are your primary web frameworks?
Our web layer is fairly thin compared to the rest of the product. The most interesting things in the front-end happen in D3 and React.
D3 (and its ancestor protovis) is one of the most elegant and concise frameworks to build data visualizations with. It’s a framework that “feels right” thanks to its solid theoretical foundations, the clarity of its documentation, and the attention to details in the examples.
React made sense because it’s simple and very performant thanks to its virtual DOM “diffing.” We also like that its forces a clear data flow and is built around components with a clear separation between template and display logic.
What are your primary databases?
As of late 2014, we process upwards of 100 billion data points per day so the choice of databases is (a) essential to proper real-time performance, (b) a never-ending quest as we continue to grow as a business.
We have 4 main database use cases:
In terms of actual databases, we use:
Which DevOps tools do you use?
Chef, Capistrano, Jenkins, Hubot to name a few. Beyond what we use internally we’ve made sure to provide solid integrations for the major DevOps tools like Chef, Puppet, Ansible, Logstash, Splunk, etc.
The choices in tools were in this case, partly based on history. More importantly we have consistent tooling around configuration management, continuous integration, continuous delivery, all tied together with our chat rooms.
Which part of your stack are you most excited about?
Personally I’m excited by our work in 3 areas:
Visit datadog.com to read more about the company and to see their technology in action.
Every week we send out a newsletter called Ruff Notes with our personal thoughts on something interesting we’ve read, as well as product updates and news from our community.