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What is real user monitoring (RUM)?

Dynatrace

Some examples include: Monitoring a retailer’s online catalog to detect any increase in page load times. Analyzing a clinician’s clickstream when using an electronic medical record system to better improve the efficiency of data entry. Want to learn more? Link RUM business objectives to technical goals.

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Improving the Cloud - More Efficient Queuing with SQS - All Things.

All Things Distributed

Improving the Cloud - More Efficient Queuing with SQS. For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. All Things Distributed. By Werner Vogels on 08 November 2012 03:00 PM. Comments ().

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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). One of the key advantages of DEM is its versatility.

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Expanding the Cloud: More memory, more caching and more performance for your data

All Things Distributed

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS.

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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

All Things Distributed

Developers need efficient methods to store, traverse, and query these relationships. In supply chain management, connections between airports, warehouses, and retail aisles are critical for cost and time optimization. Social media apps navigate relationships between friends, photos, videos, pages, and followers. Enter graph databases.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g.

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

One of the most important mechanisms we provided was to offer customers a collection of primitives and tools, where they could pick and choose their preferred way to engage with the AWS cloud, instead of only providing one framework that they are forced to use, which includes everything and the kitchen sink. APIs are forever. No gatekeepers.

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