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Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

9GAG is a Hong Kong-based company responsible for 9gag.com , one of the top traffic websites in the world. It's an entertainment website where users can post content or "memes" that they find amusing and share them across social media networks.

AWS 146
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 179
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Dutch Enterprises and The Cloud

All Things Distributed

Shell leverages AWS for big data analytics to help achieve these goals. Essent currently hosts all of their public facing websites and customer self-service portals in the AWS cloud. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models.

Cloud 129
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Website monitoring. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use.

Cloud 217
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Välkommen till Stockholm – An AWS Region is coming to the Nordics

All Things Distributed

The airline has also been able to scale quickly to cope with spikes in seasonal traffic, cutting application latency and improving the overall customer experience. flights, allowing the airline to expand twelvefold to cope with the spike in traffic that it experienced at the time.

AWS 116
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

When we announced QuickSight last year, we set out to help all customers—regardless of their technical skills—make sense out of their ever-growing data. The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. Powered by Innovation.

Analytics 152