{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/4"}],"enrichment":{"capability":"Provides AWS CDK constructs for defining and deploying managed Apache Flink applications on Kinesis Analytics, with support for multiple Flink runtime versions and configuration of checkpointing, parallelism, and VPC deployment.","skillfed_tags":["aws-cdk","flink-streaming","infrastructure-as-code"],"use_cases":["Define a Flink streaming job as part of a larger CDK stack, specifying code location and runtime in one construct.","Configure checkpointing and parallelism for a Flink application without writing CloudFormation templates directly.","Deploy multiple Flink applications with different runtime versions (1.15, 1.18, 1.19, 1.20) in the same stack.","Pass runtime properties to a Flink application via property groups, retrieved by your Flink code at job startup.","Set up CloudWatch alarms on Flink metrics like full restarts as part of your infrastructure definition."],"what_it_does":"This package is an AWS CDK construct library that abstracts the creation and configuration of managed Apache Flink applications running on AWS Kinesis Analytics. It lets you define Flink jobs as infrastructure-as-code in Python, specifying runtime version, code location (from S3 or local assets), and operational parameters like checkpointing intervals, parallelism, and VPC placement.\n\nIt wraps the underlying Kinesis Analytics Flink service, exposing configuration for job startup parameters, property groups (runtime configuration passed to your Flink code), monitoring via CloudWatch metrics, and auto-scaling behavior. The package is marked experimental, meaning its APIs may change in future releases without backward compatibility guarantees.","worth_installing":"Yes, if you are already using AWS CDK to manage infrastructure and need to deploy Kinesis Analytics Flink applications. The low install friction and active maintenance make it straightforward to adopt. However, accept that the experimental status means you may need to update code when upgrading versions\u2014plan for this in your release cycle."},"id":"aws-cdk-aws-kinesisanalytics-flink-alpha","links":{"html":"https://skillfed.io/packages/aws-cdk-aws-kinesisanalytics-flink-alpha","md":"https://skillfed.io/packages/aws-cdk-aws-kinesisanalytics-flink-alpha.md","pypi":"https://pypi.org/project/aws-cdk-aws-kinesisanalytics-flink-alpha/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"aws-cdk.aws-kinesisanalytics-flink-alpha","python_support":"supports_current","summary":"A CDK Construct Library for Kinesis Analytics Flink applications"},"popularity":{"monthly_downloads":169691,"position":10408,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.265.0a0"}