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

CSS Wizardry

Database queries: Pages that require data from a database will incur a cost when searching over it. DDoS or heavy load: In a similar vein to the previous point, increased load with no way of auto-scaling your application will lead to degraded performance where you begin to probe the limits of your infrastructure.

Latency 269
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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

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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., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Enter Amazon QuickSight.

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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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. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

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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. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.