Remove Data Remove IoT 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? Dynatrace news.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. When an application is triggered, it can cause latency as the application starts. AWS Lambda allows developers to use NodeJS or Python while you can control nearly every detail of a REST API.

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Unlocking the Value of Device Data with AWS Greengrass.

All Things Distributed

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. In recent years, an explosion of intelligent devices have created oceans of new data across many industries. This is because data gets more valuable when it can be processed together with other data. Law of Economics. Law of the Land.

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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. DynamoDB Streams.

Database 167
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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

As I wrote last week machine learning is becoming an increasingly important tool to build advanced data driven applications. Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available.

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A one size fits all database doesn't fit anyone

All Things Distributed

To do this, they need to be able to use multiple databases and data models within the same application. For decades because the only database choice was a relational database, no matter the shape or function of the data in the application, the data was modeled as relational.

Database 167
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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. Using raw content data (such as Markdown, YAML, JSON files) and templates an SSG engine (such as Jekyll, Hugo, Gatsby, etc.)

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