Remove Efficiency Remove Hardware Remove Lambda Remove Latency
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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?

Lambda 186
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

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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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What is Serverless Architecture?

cdemi

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Amazon: AWS Lambda.

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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