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Hashnode Creates Scalable Feed Architecture on AWS with Step Functions, EventBridge and Redis

InfoQ

The company used serverless services on AWS, including Lambda, Step Functions, EventBridge, and Redis Cache. Hashnode created a scalable event-driven architecture (EDA) for composing feed data for thousands of users. The solution leverages Step Functions' distributed maps feature that enables high-concurrency processing. By Rafal Gancarz

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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. For more customer case studies, see All AWS Customer Stories. Rapid time to market. Increasing agility.

AWS 155
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Local Testing A Serverless API (API Gateway And Lambda)

Smashing Magazine

Local Testing A Serverless API (API Gateway And Lambda). Local Testing A Serverless API (API Gateway And Lambda). This article is for anyone struggling with testing cloud services locally, and specifically for people wanting to locally test an API that uses API Gateway and Lambda, with the Serverless framework, on AWS.

Lambda 117
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

On a more playful note, for those that are inclined to look at our serverless compute architecture, I would love to reacquaint you with Dubsmash ’s innovative use of AWS Lambda. For more details, see the case studies at All AWS Customer Stories. A workflow engine to drive business decisions.

AWS 90
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. Of those respondents whose organizations have adopted serverless, more than 50% made the jump one to three years ago, and 15% adopted serverless more than three years ago.

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Speeding Up Hadoop Builds Using Distributed Unit Tests

Highly Scalable

test_splits[split_index].append(test) append(test) test_times[split_index] += test_duration for split, id in zip(test_splits, range(SPLIT_FACTOR)): f = open(base_dir + 'upar-split.

Speed 100