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AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers.
Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...
Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. [1] Building an application following this model is one way of achieving a "serverless ...
In general this can be caused by very frequent index or table scans, or frequent updates. Concurrent statement executions by two or more instances may also lead to contention, and subsequently busy waiting for the process without the lock. [1] [2]
AWS Lambda, introduced by Amazon in 2014, [10] popularized the abstract serverless computing model. It is supported by a number of additional AWS serverless tools such as AWS Serverless Application Model (AWS SAM) Amazon CloudWatch, and others. Google Cloud Platform created a second serverless offering, Google Cloud Functions, in 2016. [11]
Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]
Concurrent use of shared resources can be a source of indeterminacy leading to issues such as deadlocks, and resource starvation. [7] Design of concurrent systems often entails finding reliable techniques for coordinating their execution, data exchange, memory allocation, and execution scheduling to minimize response time and maximise ...
Elastic Volumes makes it possible to adapt volume size to an application's current needs, using Amazon CloudWatch and AWS Lambda to automate volume changes. Amazon EBS Encryption encrypts data at rest for EBS volumes and snapshots, without having to manage a separate secure key infrastructure.