This year, Twitter open sourced two powerful real-time analytics tools -- DistributedLog, a high-performance log service, and Heron, a distributed stream computation system.
A few weeks after Heron was open sourced, Karthik Ramasamy, engineering manager and technical lead for real-time analytics at Twitter, delivered a talk at Strata + Hadoop World in London to unveil the system and discuss:
An overview of Heron as a micro stream engine and …
Twitter’s Real-Time Data Stack
Video description
This year, Twitter open sourced two powerful real-time analytics tools -- DistributedLog, a high-performance log service, and Heron, a distributed stream computation system.
A few weeks after Heron was open sourced, Karthik Ramasamy, engineering manager and technical lead for real-time analytics at Twitter, delivered a talk at Strata + Hadoop World in London to unveil the system and discuss:
An overview of Heron as a micro stream engine and its architectural components
How Twitter has been running Heron in production
The operational experience and challenges of running Heron at scale, including a discussion of stragglers
Heron's minimal resource usage and performance numbers
Leading up to Twitter's open sourcing of DistributedLog, software engineer and tech lead of the DistributedLog project Sijie Guo spoke at Strata + Hadoop World in San Jose to introduce the service. Key components of his talk include:
Why Twitter built DistributedLog
Technical decisions and challenges behind building DistributedLog
How Twitter uses DistributedLog to support different workloads
How Twitter runs the same software stack in multiple data centers to achieve global consistency
Building DistributedLog, a high-performance replicated log service - Sijie Guo (Twitter)
Processing billions of events in real time with Heron - Karthik Ramasamy (Twitter)
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