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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. It executes code in response to events and automatically manages the computing resources required by that code. It was introduced on ...
AWS launches AWS Lambda, its Functions as a Service (FaaS) tool. With Lambda, AWS customers can define and upload functions with specific triggers and execution code. AWS takes care of executing the function on the trigger occurring, and the AWS customer does not have to provision or manage the compute resources.
Lambda Pinball" is a related anti-pattern that can occur in serverless architectures when functions (e.g., AWS Lambda, Azure Functions) excessively invoke each other in fragmented chains, leading to latency, debugging and testing challenges, and reduced observability. [4]
By defining resources in a declarative format, Deployment Manager allows users to create, update, and delete resources as part of a blue–green deployment process. Like AWS CodeDeploy, it minimizes downtime by shifting traffic from the old to the new environment after performing necessary tests. [9] Setting up the environment: [10]
Serverless computing is "a cloud service category in which the customer can use different cloud capability types without the customer having to provision, deploy and manage either hardware or software resources, other than providing customer application code or providing customer data. Serverless computing represents a form of virtualized ...
The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce. [1] Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record.
IaC grew as a response to the difficulty posed by utility computing and second-generation web frameworks. In 2006, the launch of Amazon Web Services’ Elastic Compute Cloud and the 1.0 version of Ruby on Rails just months before [2] created widespread scaling difficulties in the enterprise that were previously experienced only at large, multi-national companies. [3]
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.