Twitter earlier this month announced it would be expanding its partnership with Google, moving more data and workloads from its servers to the Google Data Cloud. While Twitter doesn’t yet have plans to port its entire infrastructure to the cloud, its growing relationship with Google’s Data Cloud highlights some of the key challenges companies face as their data stores grow and how employing the right cloud strategy can help them solve these challenges. From on-premise to the cloud Before its interest in the cloud, Twitter had long been running on its own solid IT infrastructure. Servers and datacenters on five continents stored and processed hundreds of petabytes of data, served hundreds of millions of users, and had the capacity to scale with the company’s growth. Twitter also developed many in-house tools for data analysis. But in 2016, the company became interested in exploring the benefits of moving all or part of its data to the cloud. “The advantages, as we saw them, were the ability to leverage new cloud offerings and capabilities as they became available, elasticity and scalability, a broader geographical footprint for locality and business continuity, reducing our footprint, and more,” Twitter senior manager of software engineering Joep…
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