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Klayers Alternatives
Similar projects and alternatives to Klayers
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configure-aws-credentials
Configure AWS credential environment variables for use in other GitHub Actions.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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AWS Data Wrangler
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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terraform-ecs-fargate-scheduled-task
A Terraform template used for provisioning scheduled tasks on AWS ECS Fargate
Klayers reviews and mentions
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Lambda with Python libraries
Use public layers maintained by others. For example Klayers which are produced with CI in GitHub Actions. This way you don't have any layers lying around in your Lambda UI. You can point to new layer versions whenever you wish. You can interact with the layer data via an API : https://github.com/keithrozario/Klayers/#api
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AWS Serverless Menu - Small to Big
If I want to do something more data heavy or complex, I'll sometimes instead go for Python. Having a mixture of languages is one of the big advantages of micro services. Packaging dependencies is a bit tricker for Python, for simple packages I'll usually include in my build script something to copy the relevant directories from my venv's site-packages. However one neat alternative is to use a publicly available precompiled lambda layer from Klayers. These slot neatly in one line of code into my terraform config and enable me to use popular Python packages like numpy and pandas without troubling myself about C extensions, build environment or having to mess with Amazon Linux.
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Serverless ETL using AWS Lambda, Pandas, PostgreSQL, AWS CDK
Before anything, Huge shoutout to Keith Rozario for providing us with this awesome Repo. where he defined layers for lambda functions to add libraries that doesn't exist by default in the lambda runtime without you having to create them yourself. I used his repo to add the requests, pandas and psycopg2 libraries to the project.
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Can a lambda use a layer which is stored in S3
I like to use this guy’s layers as an arn: https://github.com/keithrozario/Klayers
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www.saashub.com | 23 Apr 2024
Stats
keithrozario/Klayers is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Klayers is Python.
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