Amazon S3 connector
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The document provides information about the Amazon S3 connector for MuleSoft, including: - Amazon S3 is AWS storage that allows storing and retrieving data from anywhere on the web. - The connector requires AWS credentials and is compatible with Mule Runtime 3.5+ and AWS SDK for Java 1.11.21. - It describes how to install, configure, and use the connector to perform various Amazon S3 operations like creating/deleting buckets and objects.
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오토 스케일링 그룹의 구성과 확장 계획에 따른 설정 방법, 오토 스케일링 라이프 사이클과 CloudWatch 및 알림을 이용한 관리 방법, 각종 오토스케일링 모범사례 등을 알아보실 수 있습니다.
Agile Deployment using Git and AWS Elastic Beanstalk
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
Agile Deployment using Git and AWS Elastic Beanstalk
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
Timothee Cruse, Solutions Architect, Amazon Web Services, ASEAN
Amazon cloudtutorial
Amazon EC2 allows users to launch virtual servers called instances in AWS's cloud computing environment. Key steps include choosing an Amazon Machine Image template, generating a key pair for login credentials, launching an instance, connecting to it, customizing it, and terminating it when done. Google App Engine lets users run web apps on Google's infrastructure using the Datastore, Cloud SQL, and Cloud Storage. It supports Java, Python and Go apps, which can be developed in Eclipse and tested locally before uploading to Google's servers. Both services offer free usage tiers and pay-per-use pricing for more resources.
Your First Hour on AWS: Building the Foundation for Large Scale AWS Adoption ...
To arm you with best practices from day one, this session presents field-tested and reusable designs that’ll set you up for long-term success in the AWS cloud. From account creation and access configuration, through security considerations and VPC design, to the use of VPC peering, ELBs and Internet Gateways, we’ll walk you through the common infrastructure elements and recommended design patterns that lead to AWS cloud adoption success.
Create object in amazon
The document discusses how to integrate Amazon S3 storage with MuleSoft applications using the Amazon S3 connector. It explains that the connector allows accessing and storing objects in S3 buckets from within MuleSoft. It provides steps for configuring the connector with AWS keys, creating an S3 bucket, and using the connector in Mule flows to upload and download objects from S3.
AWS Webcast - Highly Available SQL Server on AWS
This document provides an overview of implementing high availability for Windows Server and SQL Server on AWS. It discusses deploying Windows Server Failover Clustering (WSFC) across Availability Zones and configuring SQL Server AlwaysOn Availability Groups. The solution uses Active Directory Domain Services, security groups, WSFC clustering, and AlwaysOn to provide redundancy and automatic failover. A sample CloudFormation template is also provided to automate deployment of the necessary AWS infrastructure.
Day 2 - Amazon EC2 Masterclass - Getting the most from Amazon EC2
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This webinar takes you on a journey starting with the basics of key creation and security groups and ending with an Auto Scaling application driven by dynamic policies. It will explain the tools you need to create an Auto Scaling configuration and show you how to bootstrap an instance.
Reasons to attend:
- Understand how to use Amazon EC2 beyond a simple single instance use case including bootstrap & AMIs.
- Learn how to create Auto Scaling configurations and the tools you need to drive Auto Scaling policies.
- Learn how to use Amazon CloudWatch alarms to trigger actions with Auto Scaling.
基于Aws的持续集成、交付和部署 代闻
The document discusses AWS services for continuous integration, delivery, and deployment based on AWS. It describes how CodeCommit can be used for source code management, CodePipeline for continuous delivery, and CodeDeploy for continuous deployment. It also discusses how Elastic Beanstalk can be used to deploy and manage applications on AWS.
saa3_wk5.pdf
The document discusses various AWS services including Elastic Load Balancing, Auto Scaling, AWS CloudFormation, and Amazon CloudFront. It provides information on:
- How Elastic Load Balancing distributes traffic across multiple targets to improve scalability. It describes different types of load balancers.
- How Auto Scaling automatically launches or terminates EC2 instances based on user-defined policies to dynamically scale capacity as needed.
- How AWS CloudFormation allows defining infrastructure as code using templates to deploy and manage AWS resources in a reproducible and predictable manner.
- How Amazon CloudFront is a global content delivery network (CDN) that securely delivers data, videos, applications, and APIs to customers with low latency and high transfer
Cloud Formation
Introduction
Benefits
Concepts
Templates
CLI Tool
Cloud Formation Demo
Cloud Former (Intro)
Questions
The tutorial includes an introduction to Cloud formation, benefits to Cloud formation, concepts of Cloud formation, CLI tool, Cloud formation demo, introduction to Cloud former. The tutorial begins with an introduction to Cloud formation subsequent to which, there is another section talking about the benefits of Cloud formation. It also includes the services which are used by Cloud formation.
The next section is based on the concepts of Cloud formation. This section is important as it explains the concepts of Cloud formation which are template and stack. The Template section includes the description, objects, sample template, parameters, resources, types of resources and also the steps to create a template. Whereas, the Stack section includes the collection of resources, resources which are created or deleted. Afterward comes the CLI Tool. This section includes the CLI tool called CFN.
The CLI tool section is then followed by a Cloud formation demo. It not only gives a demo of Cloud formation and which templates would be useful. But, it also includes the issues which are present in the Cloud formation demo. The last section includes an introduction to Cloud former. It provides the description of Cloud former as to which tool and architecture it uses and also the things which are possible while using Cloud former.
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More from Thang Loi
Mule web services
This document provides an overview of Mule Web Services. Mule can be used to build and integrate web services. It supports various web service standards like SOAP, WSDL, WS-Addressing. The document demonstrates how to create a bookstore web service using JAX-WS annotations, generate a client, and configure Mule to expose the service and route messages to and from it. It also shows how to transform CSV files to web service requests and send email messages after orders are placed by routing through Mule.
Mule enterprise service bus
Mule is an open-source enterprise service bus (ESB) that allows for flexible movement of data between different endpoints and systems. It uses a staged event-driven architecture and non-blocking Java I/O to provide scalability. Core Mule concepts include universal message objects, endpoints, transports, connectors, routers, filters and transformers that allow data to be routed and transformed declaratively between systems and applications. Mule provides capabilities for XML validation, transformation and routing through its built-in components.
File connector
The Mule File Connector allows applications to exchange files with a file system by implementing the File connector as either an inbound or outbound endpoint, and it can be configured by placing the File endpoint in a Mule flow and providing values for fields like path, polling frequency, and file name on various property tabs.
Box connector
The document discusses the Box Connector for Anypoint Platform, which allows synchronization of data and automation of processes between Box and third party applications. It provides instructions on installing the connector, configuring it using OAuth 2.0 authentication with a developer token, and includes an example use case of creating a folder in Box. Requirements include Anypoint Studio 5.4 or higher and a Box developer account.
Mule flows and subflows
Mule flows allow developers to implement message processing in multiple stages by using standard synchronous flows, asynchronous flows, and subflows. Using multiple flows provides advantages like performing time-consuming tasks asynchronously, handling errors differently across flows, improving readability, and enabling reuse of processing logic. Multiple flows also allow for load balancing and higher performance applications.
Http connector
The HTTP connector can be used as an HTTP listener connector to receive HTTP requests at a specified address and generate responses, or as an HTTP requester connector to send requests to an address and receive responses. It supports TLS encryption for HTTPS and authentication via basic, digest, and OAuth. When used as a listener, it is placed in the source of a flow, and as a requester, in the process section. Debugging HTTP activity can be done by enabling loggers for listener/request activity and packet metadata. The connector also supports non-blocking processing.
Tcat server
This document provides steps to install Tcat Server and the Tcat Administration Console on a single machine or multiple machines. The steps include downloading the installer, running the installer, starting the Tcat server, registering the server with the Console, managing and monitoring the server instance, deploying new applications, and pairing additional servers with the Administration Console.
File Connector
The Mule File Connector allows applications to exchange files with a file system by implementing the File connector as either an inbound or outbound endpoint, with the inbound endpoint acting as a message source and the outbound writing files to a destination directory; the File endpoint is configured by placing it in a Mule flow and providing properties for the endpoint like the file path, polling frequency, and transformers; and the endpoint can be used to read, write, move, and filter files through its various configuration tabs.
Mule transform
The document discusses how Mule message processors transform messages as they pass through a flow. It provides an example of a message before and after it passes through a Transform Message component. The message contains a header, payload, and properties. Before being transformed, the example message's payload is a simple string and it contains certain inbound and outbound properties. After transformation, the payload is now an XML document, while the message header and properties remain unchanged.
Fpt connector
The FTP Connector allows a Mule application to exchange files with an external FTP server. It can be configured as an inbound endpoint to receive files or an outbound endpoint to send files. When configuring an FTP endpoint, values must be provided for properties on the General, Advanced, Reconnection, and Transformers tabs such as the host, port, username, password, transfer mode, polling frequency, and transformers. Global connector configurations can also be associated with endpoint instances.
Mule transformers
Mule Transformers can alter message properties, variables, or payloads to prepare them for further processing. Standard transformers are provided to handle common data conversion scenarios, such as XML-to-Object. If no single transformer achieves the needed output, multiple transformers can be used sequentially. Transformer categories include those for Java Objects, Content, SAP, Scripting, Properties/Variables/Attachments. The DataWeave transformer provides powerful data querying and transformation capabilities.
Http connector
The HTTP connector can be used as an HTTP listener connector to receive HTTP requests at a specified address and generate responses, or as an HTTP requester connector to send requests to an address and receive responses. It supports TLS encryption for HTTPS and authentication via basic, digest, and OAuth. When used as a listener, it is placed in the source of a flow, and as a requester, in the process section. Debugging HTTP activity can be done by enabling loggers for listener/request activity and packet metadata. The connector also supports non-blocking processing.
Mule mongodb connector
MongoDB is a document-oriented database designed for scalability and developer agility. The MongoDB connector provides a connection between Mule and MongoDB servers, implementing the MongoDB API. It includes various transformers for data management. The connector configuration wizard allows configuring properties like connection details, pooling profiles, and reconnection strategies when establishing connections to MongoDB.
Mule message state
The document describes the state of a message before and after being transformed by a message processor in a Mule application. Before transforming, the message contains a header, payload, inbound properties containing metadata, and variables indicating where to move files and polling frequency. After transforming, the message header and payload remain, but inbound properties are unchanged and no outbound properties or variables were added or removed by the transform message component.
Mule transformers
Mule Transformers prepare messages for further processing by altering message properties, variables, or payload. Transformers include the Anypoint DataMapper Transformer which can both transform data formats and map input fields to different output fields. Out of the box, Mule provides standard transformers to handle common data transformation scenarios with minimal configuration.
Elements in a muleflow
This document describes various elements that compose Mule flows, including connectors, components, transformers, and exception handling strategies. Connectors receive and send messages from external sources and can act as sources, processors, or destinations in a flow. Components enable custom business logic without code. Transformers prepare messages for further processing by altering properties, variables, or payloads. Exception strategies precisely handle errors that occur in flows.
Mule maven
Maven is a project management utility that can be used to develop Mule projects. Mule provides built-in Maven functionality including building Mule apps with Maven in Anypoint Studio, enabling Maven support for existing Studio projects, and importing Maven projects into Studio. The muleesb-maven-plugin and Maven-Mule ESB plugin provide Maven integration, allowing development of Mule apps from within Maven. The document provides steps for building a simple HTTP request-response app with Maven in Studio, enabling Maven support for an existing Studio project, and importing an existing Maven project into Studio.
Mule soap
This document outlines a Mule flow that calls a SOAP web service, retrieves response data from the service, and writes the response to a file in JSON format. The flow first reads a name from an input text file. It then calls the SOAP service, passing the name. Due to the streaming response, the flow uses a "File to String" transformer to convert the stream to a string payload containing the SOAP response. Finally, it transforms the response object to JSON and writes it to an output file. The key is embedding the SOAP response in an XML payload to properly extract the response object properties rather than just the raw SOAP message.
Mule schedule
The document discusses using Mule's poll scheduler to trigger scheduled tasks. Poll can be used to extract data from a database to CSV every 15 seconds, or call a web service to check an application's status periodically. The example Mule configuration shows a poll scheduled to run every 15 seconds that calls a HTTP request, with simple logging to demonstrate how the poll mechanism works.
Mule flows
Mule Flows enable the orchestration of services through message processing. A flow contains a chain of message processors with a message source that processes incoming messages. Flows are configured in XML using the <flow> element and can include transformers, filters, routers, and message enrichers leveraging expressions. Private flows cannot be accessed from outside the JVM as they have no defined message source and are only used if referenced from another construct running in the same Mule instance.
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Amazon S3 connector
- 2. Introduction • Amazon Simple Storage Service (Amazon S3) is storage for the Internet • Store and retrieve any amount of data at any time, from anywhere on the web • The AWS SDK for Java provides a Java API for AWS infrastructure services
- 3. Prerequisites • To use the Amazon S3 connector, you must have the following: – Access to Amazon Web Services – To access AWS with the connector, you need the credentials in the form of IAM – Anypoint Studio Enterprise edition
- 4. Compatibility • Amazon S3 connector is compatible with: – Mule Runtime: 3.5.0 or later – AWS SDK for Java: 1.11.21
- 5. Installing the Connector • Updating from an Older Version – Click the popup and check for the available updates – Select the Amazon S3 connector version 3.0.0 check box and click Next. – Follow the instructions provided by the user interface
- 6. Installing the Connector • Updating from an Older Version – Restart Studio when prompted. After restarting, if you have several versions of the connector installed, Mule asks you for the version of the connector to use
- 7. Configuring the Connector Global Element • Click the Global Elements tab at the base of the canvas, then click Create • In the Choose Global Type window, expand Connector Configuration, and click Amazon S3: Configuration
- 8. Configuring the Connector Global Element
- 9. Configuring the Connector Global Element • Click Ok • Enter the global element properties:
- 10. Connecting to S3 Compatible Storage • If you need to connect to a different storage than the default AWS S3, you must specify its URL in the S3 Compatible Storage URL field
- 11. Using the Connector • Abort Multipart Upload • Complete Multipart Upload • Copy Object • Create Bucket • Create Object • Create Object Presigned URI • Delete Bucket • Delete Bucket Cross Origin Configuration • Delete Buckt Lifecycle Configuration,...
- 12. Using the Connector • Get Bucket Tagging Configuration • Get Bucket Versioning Configuration • Get Bucket Website Configuration • Get Object • Get Object ACL • Get Object Content • Get Object Metadata • Initiate Multipart Upload • List Buckets • List Multipart Uploads • List Next Batch of Objects • List Next Batch of Versions
- 13. Using the Connector • Delete Bucket Policy • Delete Bucket Tagging Configuration • Delete Bucket Website Configuration • Delete Object • Delete Objects • Get Bucket ACL • Get Bucket Cross Origin Configuration • Get Bucket Lifecycle Configuration • Get Bucket Location • Get Bucket Logging Configuration • Get Bucket Notification Configuration • Get Bucket Policy
- 14. Using the Connector • List Objects • List Parts • List Versions • Set Bucket ACL • Set Bucket Cross Origin Configuration • Set Bucket Lifecycle Configuration • Set Bucket Logging Configuration • Set Bucket Notification Configuration • Set Bucket Policy • Set Bucket tagging Configuration • Set Bucket Versioning Configuration • Set Bucket Website Configuration • Set Object ACL • Set Object Storage Class • Upload Part • Upload Part Copy
- 15. Connector Namespace and Schema
- 16. Using the Connector in a Mavenized Mule App
- 17. Use Cases • The following are the common use cases for the Amazon S3 connector: – Store an image from a URL on Amazon S3, then retrieve and display the image. – Create an image link in Amazon S3 and update the status in twitter along with the image link.
- 18. Adding the Connector to a Mule Flow • Create a new Mule project in Anypoint Studio. • Drag the Amazon S3 connector onto the canvas, then select it to open the properties editor • Configure the connector’s parameters:
- 19. Adding the Connector to a Mule Flow