Making Social Data Actionable



  • Kubernetes is used for managing microclusters within our AWS infrastructure. This allows us to deploy new infrastructure in seconds.

    jvalencia jvalencia

  • We use this for source code control. It's also a great tool to do code reviews with via pull requests.

    allentfung allentfung

  • BigQuery allows our team to pull reports quickly using a SQL-like queries against our large store of data about social sharing. We use the information throughout the company, to do everything from making internal product decisions based on usage patterns to sharing certain kinds of custom reports with our publishers.

    mfuhrman mfuhrman

  • Built on Node.js, Meteor's real time reactivity and its wide package ecosystem allows us to quickly prototype and build apps in a lean way

    deegsca deegsca

  • We are using Kafka as a message queue to process our widget logs.

    satheessh satheessh

  • We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

    satheessh satheessh

  • Python is our multi-use goto scripting language. It's used for our mobile api and is deployed at scale as well as a utility in backends.

    imosquera imosquera

  • We use docker compose to coordinate containers in out testing and stage environments.

    jvalencia jvalencia

  • Aerospike is used heavily in our real time kafka pipeline. We use it two ways: we harness the fast key-value store lookup and leveraging Aerospikes ACID capabilities through UDFs we could manage updates in real time.

    ishikapaul ishikapaul

  • Docker helps us make our development and production environments as close to the same as possible. This improves our deployment times to seconds.

    jvalencia jvalencia

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