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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Lambda SnapStart. The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). What is Lambda?

Lambda 225
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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 215
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Unlocking the Value of Device Data with AWS Greengrass.

All Things Distributed

Some applications may also rely on timely decisions: when maneuvering heavy machinery, an absolute minimum of latency is critical. This is determined by basic laws of physics: it takes time to send data to the cloud, and networks don't have 100% availability. Law of Economics. and deployed down from the cloud.

AWS 118
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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration.

Systems 63
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In-Stream Big Data Processing

Highly Scalable

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. In the previous section, we noted that many distributed query processing algorithms resemble message passing networks. Marz, “Big Data Lambda Architecture”.

Big Data 154
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A one size fits all database doesn't fit anyone

All Things Distributed

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167
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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. This allows for faster failover times while minimizing latency. Building upon Redis. Redis and Fast Data.