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The Kellogg Company - Amazon Web Services Industrial IoT Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
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ACTi Case Study - Amazon Web Services Industrial IoT Case Study
ACTi Case Study
ACTi recognized the potential for cloud-based IP video surveillance and realized that cloud technology could help customers avoid the cost of deploying large physical infrastructures and maintaining a team of security professionals. ACTi wanted toseize these opportunities and make cloud-based solutions available to companies of all sizes.The company started developing a cloud-based surveillance and big data analytics system, but ran into technical difficulties. These challenges disrupted the company’s own plans to switch its internal systems from on-premises to a cloud-based platform. It had no option but to find a cloud-service provider since the situation limited growth potential and the organization’s ability to reduce operating costs.Peter Wu, sales director at ACTi Corporation, says the company was dedicating an increasing amount of budget to support a 20 percent increase in data per year. “We wanted a cloud-based solution to reduce our IT overhead, but the priority was to develop our cloud-based IP video surveillance solution to drive our market share worldwide,” he says.
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Atlassian's Solution on AWS - Amazon Web Services Industrial IoT Case Study
Atlassian's Solution on AWS
At Atlassian, growth is on a fast track. The company adds more customers every day and consequently needed an easy way to scale JIRA, which is growing by 15,000 support tickets every month. The instance supporting this site was previously hosted in a data center, which created challenges for scaling. “The scale at which we were growing made it difficult to quickly add nodes to the application,” says Brad Bressler, technical account manager for Atlassian. “This is our customer-facing instance, which gathers all the support tickets for our products globally. It’s one of the largest JIRA instances in the world, and growing and maintaining it on premises was getting harder to do.” For example, the support.atlassian.com instance was hosted on a single on-premises server, which the company needed to frequently take down for maintenance.The company also needed to ensure high availability for JIRA. “This is a mission-critical application, and the number of customers potentially impacted by downtime is huge,” says Neal Riley, principal solutions engineer for Atlassian. “As we grew, we became more concerned about the resiliency and disaster-recovery capabilities of the data center.”To move into a more scalable, highly available environment, Atlassian created JIRA Data Center, a new enterprise version of the application. However, JIRA Data Center required shared storage. “We needed a shared file system so the individual application nodes could have a shared source of truth for profile information, plug-ins, and attachments,” says Riley. 
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The Dow Jones' Solution on AWS - Amazon Web Services Industrial IoT Case Study
The Dow Jones' Solution on AWS
Investors use Dow Jones to learn about what’s happening in financial markets throughout the world. “Our mission is to shine a light on dark corners of the world, focusing on news that impacts decision making,” says Stephen Orban, Chief Information Officer & Global Head of Technology. The company relies on cutting-edge technology to keep its customers as up to date as possible on the latest news.In Asia, about 12.8 million people use WSJ.com, which generates about 90 million page views each month. When the lease on its Asian data center ran out in early 2013, the company needed to find an alternative that would help its developers focus more on revenue-generating applications instead of on data center maintenance. Dow Jones also wanted to reduce latency for its Asia-based customers—and it wanted to avoid delays for acquiring and configuring hardware. “My preference is to have my team build products rather than running data centers, Orban says. “Now that data center is a commodity, that’s exactly what they’re able to do.”
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