Remove Efficiency Remove Lambda Remove Latency Remove Scalability
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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.

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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

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AWS Lambda Provisioned Concurrency: Build High-performance Serverless Applications at Scale

Simform

AWS Lambda provides various benefits such as scalability, cost-efficiency, high availability, and more. But it also introduces cold starts and latency, decelerating your applications’ performance.

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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. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Efficient lineage tracking is not a trivial problem.

Big Data 154
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.

Database 167
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Cloudburst: stateful functions-as-a-service

The Morning Paper

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. Oh, and there’s a scheduler too of course to keep all the plates spinning.

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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. ElastiCache for Redis Multi-AZ capability is built to handle any failover case for Redis Cluster with robustness and efficiency.