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https://aws.amazon.com/ko/blogs/korea/how-to-build-a-chat-application-with-amazon-elasticache-for-redis/ Amazon ElastiCache(Redis)를 이용한 채팅 애플리케이션 구성 방법 | Amazon Web Services 이 글에서는 Redis를 활용하는 채팅 애플리케이션에 대한 개념 및 아키텍처를 살펴 볼 예정입니다. 또한, 채팅 클라이언트와 서버에 대한 자세한 구성방법 그리고 사용자 AWS에 채팅 예제 애플리케이션을 배포하는 방법에 대해서 이야기를 나누어 보겠습니다. 사전 지식 채팅 애플리케이션을 작성하기 위해서는, 클라이언트가 채팅방 안에 속해있는 다른 참여자들에게 메시지를 전달하기 위한 통신 채널이 필요합니다..

https://13akstjq.github.io/api/2019/09/07/Slack-API-%EC%A0%95%EB%A6%AC%ED%95%98%EA%B8%B0.html 웹 개발 기술 블로그 웹 개발에 필요한 지식을 기록하는 블로그입니다. 13akstjq.github.io https://medium.com/qandastudy/aws-lambda%EB%A1%9C-slack-message-bot-%EB%A7%8C%EB%93%A4%EA%B8%B0-69e1a069c19b AWS Lambda로 Slack message bot 만들기 슬랙의 유용한 기능 중 하나가 WebHook을 통해 다양한 기능을 확장할 수 있다는 건데요. 저는 회사 인근 밥집을 랜덤으로 3곳 추천해주는 eat-bot을 만들어 #밥집, #점심, #..

The PyYAML library is intended for this purpose pip install pyyaml import yaml import json with open("example.yaml", 'r') as yaml_in, open("example.json", "w") as json_out: yaml_object = yaml.safe_load(yaml_in) # yaml_object will be a list or a dict json.dump(yaml_object, json_out) Notes: PyYAML only supports the pre-2009, YAML 1.1 specification. ruamel.yaml is an option if YAML 1.2 is required...

https://hub.helm.sh/charts/incubator/rundeck https://hub.helm.sh/charts/incubator/rundeck hub.helm.sh https://hub.docker.com/r/ietty/rundeck_node_embulk Docker Hub hub.docker.com https://docs.rundeck.com/docs/manual/document-format-reference/job-v20.html JOB-XML Updated November 20, 2010 docs.rundeck.com https://documenter.getpostman.com/view/95797/rundeck/7TNfX9k?version=latest#41c1a3f2-0c1c-2f..

https://github.com/Teradata/kylo Teradata/kylo Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is lice... github.com

https://marquezproject.github.io/marquez/quickstart.html Quickstart Collect, aggregate, and visualize a data ecosystem’s metadata marquezproject.github.io https://github.com/MarquezProject/marquez MarquezProject/marquez Collect, aggregate, and visualize a data ecosystem's metadata - MarquezProject/marquez github.com https://www.slideshare.net/WillyLulciuc/marquez-an-open-source-metadata-service-..

https://github.com/omrikiei/aws_logging_handlers omrikiei/aws_logging_handlers AWS integration for python logging handlers(S3, Kinesis) - omrikiei/aws_logging_handlers github.com https://pypi.org/project/cloudwatch/ cloudwatch Lightweight AWS Cloudwatch Handler for Python Logging pypi.org

https://cloud.hosting.kr/aws-database-migration-service-dms/ https://cloud.hosting.kr/aws-database-migration-service-dms/ cloud.hosting.kr https://cloud.hosting.kr/aws-dms-database-migration-service/ AWS DMS (Database Migration Service) 사용자 가이드 - 메가존 AWS Cloud AWS DMS (Database Migration Service) 사용자 가이드 작성 : 메가존 SA팀 AWS DMS(Database Migration Service)는 여러분의 온프레미스 데이터베이스를 아마존 환경으로 이전하기 위해서 제공되는 ..

https://docs.aws.amazon.com/ko_kr/AmazonCloudWatch/latest/logs/S3Export.html https://docs.aws.amazon.com/ko_kr/AmazonCloudWatch/latest/logs/S3Export.html Amazon S3로 로그 데이터 내보내기 docs.aws.amazon.com https://medium.com/tensult/exporting-of-aws-cloudwatch-logs-to-s3-using-automation-2627b1d2ee37 Exporting of AWS CloudWatch logs to S3 using Automation This Blog has moved from Medium to blogs.tensult...

https://grafana.com/docs/grafana/latest/features/datasources/cloudwatch/#using-aws-cloudwatch-in-grafana AWS CloudWatch Using AWS CloudWatch in Grafana Grafana ships with built in support for CloudWatch. You just have to add it as a data source and you will be ready to build dashboards for your CloudWatch metrics. Adding the data source In the side menu under the Configurat grafana.com https://d..