Twitter today is showing off Heron, a new real-time stream processing system its engineers have built. Heron offers several advantages over Apache Storm, the stream-processing system Twitter developed in house and later open-sourced years ago.
For one thing, Heron is less demanding on the data center infrastructure that Twitter relies on.
[aditude-amp id="flyingcarpet" targeting='{"env":"staging","page_type":"article","post_id":1741284,"post_type":"story","post_chan":"none","tags":null,"ai":false,"category":"none","all_categories":"big-data,dev,enterprise,","session":"D"}']“Since Heron is efficient in terms of resource usage, after migrating all Twitter’s topologies to it we’ve seen an overall 3x reduction in hardware, causing a significant improvement in our infrastructure efficiency,” Twitter engineering manager Karthik Ramasamy wrote in the blog post.
Several tests prove that Heron provides performance gains over Storm, too.
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Heron is now the main stream-processing engine inside Twitter, Ramasamy wrote — but it is backward-compatible with Storm, which was widely used across Twitter in the past.
Several companies — and cloud providers such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services — have embraced Storm over the years. It’s certainly possible that Heron will follow a similar trajectory.
Ramasamy did not say anything about releasing Heron under an open-source license, although he did say sharing an academic paper on Heron at the 2015 ACM SIGMOD International Conference on Management of Data was a “first step” toward sharing lessons learned “in order to further develop these programs.”
For more on Heron, check out the full academic paper here.
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