Co-authors: Ze Mao, Matt Wise, Casey Getz, Justin Lin, Ashish Singhai, and Rob Block Introduction Ambry is LinkedIn's scalable geo-distributed object store. Developed in-house and open sourced in 2016, Ambry stores tens of petabytes of data. At LinkedIn, Ambry is used to store objects like photos, videos, and resume uploads, as well as internal binary data....
infrastructure Articles
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- Topics:
- infrastructure,
- Data,
- Storage,
- Open Source
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Co-authors: Xiaoyang Gu, Xie Lu, and Xiaoguang Wang Introduction In August 2019, we introduced our members and customers to the idea of moving LinkedIn’s two core talent products—Jobs and Recruiter—onto a single platform to help talent professionals be even more productive. This single platform is called the New Recruiter & Jobs. Figure 1: New Recruiter & Jobs...
- Topics:
- infrastructure,
- scale,
- Data
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Co-authors: Konstantin V. Shvachko, Chen Liang, and Simbarashe Dzinamarira LinkedIn runs its big data analytics on Hadoop. During the last five years, the analytics infrastructure has experienced tremendous growth, almost doubling every year in data size, compute workloads, and in all other dimensions. It recently reached two important milestones. LinkedIn now...
- Topics:
- scale,
- Hadoop,
- Distributed Systems,
- infrastructure
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While site outages are inevitable, it’s our job to minimize both the duration of outages and the likelihood for an outage to occur....
- Topics:
- Performance,
- infrastructure,
- SRE
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Co-authors: Alexander Ivaniuk and Weitao Duan Editor’s note: This blog post is the second in a series providing an overview and...
- Topics:
- scale,
- A/B Testing,
- infrastructure,
- T-REX
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Co-authors: Hang Li, David Huang, Shuangfei Li, and Shannon Zhang A robust hiring ecosystem is one that serves the needs of both...
- Topics:
- infrastructure,
- Product Design,
- Mobile