AWS LAMBDA TutorialAWS Lambda i AWS Lambda i About the Tutorial AWS Lambda is a service which computes server. It is said to be serverless compute. The code is executed based on the response of events in AWS services such as adding /removing files in S3 bucket, updating Amazon DynamoDB tables, HTTP request basics of AWS Lambda and its programming concepts in simple and easy way. This tutorial will give you enough understanding on various functionalities of AWS Services to be used with AWS Lambda with illustrative0 码力 | 393 页 | 13.45 MB | 1 年前3- Back to Basics: Lambda ExpressionsBack to Basics Lambda Expressions Barbara Geller & Ansel Sermersheim CppCon September 2020Introduction ● Prologue ● History ● Function Pointer ● Function Object ● Definition of a Lambda Expression ● Capture Capture Clause ● Generalized Capture ● This ● Full Syntax as of C++20 ● What is the Big Deal ● Generic Lambda 2Prologue 3 ● Credentials ○ every library and application is open source ○ development using CsLibGuarded ■ library for managing access to data shared between threadsLambda Expressions ● History ○ lambda calculus is a branch of mathematics ■ introduced in the 1930’s to prove if “something” can be solved0 码力 | 48 页 | 175.89 KB | 6 月前3
- GitOps on AWS:
Increase velocity of
your DevOps teamsGitOps on AWS: Increase velocity of your DevOps teams P.2 Git familiar with DevOps and GitOps For over a decade, software companies have been trying to move away from the waterfall approach to application track and manage changes across the entire cluster. P.7 Run Weaveworks on Amazon Web Service (AWS) Weavework’s invented and honed GitOps to accelerate and automate the installation of production-grade reliability, and scalability. Amazon EKS is deeply integrated with other AWS services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud0 码力 | 10 页 | 2.41 MB | 1 年前3
Celery v5.0.5 Documentationbackend. for using Elasticsearch as a result backend. for using Riak as a result backend. for using AWS DynamoDB as a result backend. for using Zookeeper as a message transport. for using SQLAlchemy as 'sqs://ABCDEFGHIJKLMNOPQRST:ZYXK7NiynGlTogH8Nj+P9nlE73sq3@' where the URL format is: sqs://aws_access_key_id:aws_secret_access_key@ Please note that you must remember to include the @ sign at the end and safequote aws_access_key = safequote("ABCDEFGHIJKLMNOPQRST") aws_secret_key = safequote("ZYXK7NiynG/TogH8Nj+P9nlE73sq3") broker_url = "sqs://{aws_access_key}:{aws_secret_key}@".format( aws_access_key=aws_access_key0 码力 | 2315 页 | 2.14 MB | 1 年前3- Scrapy 1.6 DocumentationDocumentation, Release 1.6.0 (continued from previous page) ....:
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....: """) >>> xp = lambda x: sel.xpath(x).getall() This gets all first- elements under whatever it is its parent: >>> stop_on_none=False. Example: >>> from scrapy.loader.processors import Compose >>> proc = Compose(lambda v: v[0], str.upper) >>> proc(['hello', 'world']) 'HELLO' Each function can optionally receive a s3://mybucket/path/to/export.csv – s3://aws_key:aws_secret@mybucket/path/to/export.csv • Required external libraries: botocore (Python 2 and Python 3) or boto (Python 2 only) The AWS credentials can be passed as
0 码力 | 295 页 | 1.18 MB | 1 年前3 - Celery v5.0.1 Documentationbackend. for using Elasticsearch as a result backend. for using Riak as a result backend. for using AWS DynamoDB as a result backend. for using Zookeeper as a message transport. for using SQLAlchemy as 'sqs://ABCDEFGHIJKLMNOPQRST:ZYXK7NiynGlTogH8Nj+P9nlE73sq3@' where the URL format is: sqs://aws_access_key_id:aws_secret_access_key@ Please note that you must remember to include the @ sign at the end and safequote aws_access_key = safequote("ABCDEFGHIJKLMNOPQRST") aws_secret_key = safequote("ZYXK7NiynG/TogH8Nj+P9nlE73sq3") broker_url = "sqs://{aws_access_key}:{aws_secret_key}@".format( aws_access_key=aws_access_key0 码力 | 2313 页 | 2.13 MB | 1 年前3
- Celery v5.0.2 Documentationbackend. for using Elasticsearch as a result backend. for using Riak as a result backend. for using AWS DynamoDB as a result backend. for using Zookeeper as a message transport. for using SQLAlchemy as 'sqs://ABCDEFGHIJKLMNOPQRST:ZYXK7NiynGlTogH8Nj+P9nlE73sq3@' where the URL format is: sqs://aws_access_key_id:aws_secret_access_key@ Please note that you must remember to include the @ sign at the end and safequote aws_access_key = safequote("ABCDEFGHIJKLMNOPQRST") aws_secret_key = safequote("ZYXK7NiynG/TogH8Nj+P9nlE73sq3") broker_url = "sqs://{aws_access_key}:{aws_secret_key}@".format( aws_access_key=aws_access_key0 码力 | 2313 页 | 2.14 MB | 1 年前3
- Celery v5.0.0 Documentationbackend. for using Elasticsearch as a result backend. for using Riak as a result backend. for using AWS DynamoDB as a result backend. for using Zookeeper as a message transport. for using SQLAlchemy as 'sqs://ABCDEFGHIJKLMNOPQRST:ZYXK7NiynGlTogH8Nj+P9nlE73sq3@' where the URL format is: sqs://aws_access_key_id:aws_secret_access_key@ Please note that you must remember to include the @ sign at the end and safequote aws_access_key = safequote("ABCDEFGHIJKLMNOPQRST") aws_secret_key = safequote("ZYXK7NiynG/TogH8Nj+P9nlE73sq3") broker_url = "sqs://{aws_access_key}:{aws_secret_key}@".format( aws_access_key=aws_access_key0 码力 | 2309 页 | 2.13 MB | 1 年前3
- Scrapy 1.7 Documentation
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- elements under whatever it is its parent: >>> stop_on_none=False. Example: >>> from scrapy.loader.processors import Compose >>> proc = Compose(lambda v: v[0], str.upper) >>> proc(['hello', 'world']) 'HELLO' Each function can optionally receive a stored on Amazon S3. • URI scheme: s3 • Example URIs: – s3://mybucket/path/to/export.csv – s3://aws_key:aws_secret@mybucket/path/to/export.csv 3.8. Feed exports 85 Scrapy Documentation, Release 1.7.4
0 码力 | 306 页 | 1.23 MB | 1 年前3 - Scrapy 1.8 Documentation
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- elements under whatever it is its parent: >>> stop_on_none=False. Example: >>> from scrapy.loader.processors import Compose >>> proc = Compose(lambda v: v[0], str.upper) >>> proc(['hello', 'world']) 'HELLO' Each function can optionally receive a stored on Amazon S3. • URI scheme: s3 • Example URIs: – s3://mybucket/path/to/export.csv – s3://aws_key:aws_secret@mybucket/path/to/export.csv • Required external libraries: botocore (Python 2 and Python
0 码力 | 335 页 | 1.44 MB | 1 年前3
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