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Time to First Byte: What It Is and Why It Matters

CSS Wizardry

Cheap hosting: Hosting that is optimised for cost over performance usually means you’re sharing a server with any number of other websites, so expect degraded server performance which could affect your ability to fulfil requests, or may simply mean underpowered hardware trying to run your application.

Latency 269
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. SPICE is cloud-native, which means that customers don’t need to provision, manage, or scale infrastructure manually.

Analytics 152
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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., On-premise BI tools also require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year.

Cloud 137
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Monitoring: Why focus on the end user experience?

Rigor

I recently was asked the following question by an online retailer: “Why should I invest in monitoring the user experience when I already have monitoring for our database, infrastructure, app server, and network?”. Or are you an eCommerce retailer?” They quickly understood my point. The Rise of Cloud Computing. Conclusion.

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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

The Amazon.com ecommerce platform consists of hundreds of decoupled services developed and managed in a decentralized fashion. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.