This document provides an overview of serverless architecture patterns and best practices. It discusses key serverless concepts, AWS Lambda basics, Lambda best practices, the Serverless Application Model, CI/CD pipelines, monitoring, event processing, and real-time streaming. The presentation covers topics like autoscaling, pay per use, integrating Lambda with other AWS services, function packaging and configuration, and using serverless for real-time application development.
Serverless Architecture - Design Patterns and Best PracticesAmazon Web Services
As serverless architectures become more popular, customers are looking for a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems.
This webinar session describes reusable serverless patterns. For each pattern, operational and security best practices with potential pitfalls and nuances will be described. The patterns involve services including but not limited to AWS Lambda, Amazon API Gateway, Amazon Kinesis Data Streams and Data Firehose, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena.
This session can help audience recognise candidates for various serverless architectures in an organisation and understand areas of potential savings and increased agility. For example, using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; CI/CD development pipelines for serverless, which includes testing, deploying, and versioning (SAM tools); working with services from AI/ML area; plus tips to optimise Lambda functions for performance and cost-effectiveness.
Getting Started with Serverless Computing Using AWS Lambda - ENT332 - re:Inve...Amazon Web Services
With serverless computing, you can build and run applications without the need for provisioning or managing servers. Serverless computing means that you can build web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more. In this session, learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We introduce you to the basics of building with Lambda. As part of that, we show how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
by Kashif Imran, Sr. Solutions Architect, AWS
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Introduction to Serverless computing and AWS Lambda - Floor28Boaz Ziniman
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With Serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
by Brent Rabowsky, Solutions Architect & Itzik Paz, Solutions Architect, AWS
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
SRV334-Making Things Right with AWS Config Rules and AWS LambdaAmazon Web Services
Custom rules created with AWS Config and AWS Lambda enables organizations to inspect, assess, and remediate changes to AWS resources. These tools provide the development speed and flexibility required for your team to quickly start and finish a job before it becomes an issue for your client. In this workshop, you practice using AWS Lambda to design and implement the AWS Config rules that you think an organization should have ready at a moment’s notice before their next client contacts them about an issue.
Serverless Architecture - Design Patterns and Best PracticesAmazon Web Services
As serverless architectures become more popular, customers are looking for a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems.
This webinar session describes reusable serverless patterns. For each pattern, operational and security best practices with potential pitfalls and nuances will be described. The patterns involve services including but not limited to AWS Lambda, Amazon API Gateway, Amazon Kinesis Data Streams and Data Firehose, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena.
This session can help audience recognise candidates for various serverless architectures in an organisation and understand areas of potential savings and increased agility. For example, using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; CI/CD development pipelines for serverless, which includes testing, deploying, and versioning (SAM tools); working with services from AI/ML area; plus tips to optimise Lambda functions for performance and cost-effectiveness.
Getting Started with Serverless Computing Using AWS Lambda - ENT332 - re:Inve...Amazon Web Services
With serverless computing, you can build and run applications without the need for provisioning or managing servers. Serverless computing means that you can build web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more. In this session, learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We introduce you to the basics of building with Lambda. As part of that, we show how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
by Kashif Imran, Sr. Solutions Architect, AWS
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Introduction to Serverless computing and AWS Lambda - Floor28Boaz Ziniman
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With Serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
by Brent Rabowsky, Solutions Architect & Itzik Paz, Solutions Architect, AWS
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
SRV334-Making Things Right with AWS Config Rules and AWS LambdaAmazon Web Services
Custom rules created with AWS Config and AWS Lambda enables organizations to inspect, assess, and remediate changes to AWS resources. These tools provide the development speed and flexibility required for your team to quickly start and finish a job before it becomes an issue for your client. In this workshop, you practice using AWS Lambda to design and implement the AWS Config rules that you think an organization should have ready at a moment’s notice before their next client contacts them about an issue.
Serverless DevOps to the Rescue - SRV330 - re:Invent 2017Amazon Web Services
Join this workshop for a crash course in serverless DevOps! This workshops presents a scenario in which you help out Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
Requirements: Laptop, AWS account, basic Git experience. Recommended: Previous experience with the AWS Management Console and AWS CloudFormation templates, some familiarity with the AWS Developer Tools services, and preferably one of the AWS Associate certifications.
This presentation has the following objectives:
1.Understand Serverless Key Concepts.
2.Understand Event Processing Architecture.
3.Understand Operation Automation Architecture.
4.Understand Web Application Architecture.
5.Understand Data Processing Architecture.
a.Kinesis-based apps.
b.IoT-based apps.
AWS Serverless Application Model (SAM) is a template driven tool for creating and managing serverless applications. In just a few lines of code you can define complex AWS Lambda based serverless applications, security permissions, and advanced configuration capabilities. Join us as we dive deep into best practices and tricks for using SAM at scale, including how to make the most of the dynamic template capabilities of SAM, how to use advanced features such as deployment preferences and policy templates, and how to debug serverless applications with SAM CLI.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Building Serverless Microservices with AWSDonnie Prakoso
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features.
For those who are building microservices, this deck provides you a guideline on what AWS services you can use to build microservices, starting from development, deployment tools to coordination.
In this session, we explore different approaches to migrating Microsoft applications to AWS. We walk through important considerations when planning a migration, and we show how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. We use a case study format to dive deep into successfully planning an application migration. Participants work in teams to plan a SharePoint migration that integrates with an existing Active Directory.
Build and Deploy Serverless Applications with AWS SAM - SRV316 - Chicago AWS ...Amazon Web Services
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the new open-source AWS SAM translator, and see how AWS SAM works under the hood.
Here are the seven best practices for getting started on AWS. Learn more about the key aspects you should focus on when getting started with the AWS Cloud.
"Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS’s serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions).
We will discuss how to use serverless architectures for a variety of use cases including data processing, website backends, serverless applications, and “operational glue.” You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately."
SRV315_How We Built a Mission-Critical, Serverless File Processing Pipeline f...Amazon Web Services
In this session, principal architect Mike Broadway describes how HomeAway built a high-throughput, scalable pipeline for manipulating, storing, and serving hundreds of image files every second with Lambda, Amazon S3, DynamoDB, and Amazon SNS. He also shares best practices and lessons learned as they scaled their mission-critical On Demand Image Service (ODIS) system into production. Lambda functions form the backbone of ODIS, which handles over 100 million photographs that are uploaded to HomeAway's vacation rental platform. HomeAway is a vacation rental marketplace with more than 2 million rentals in 190 countries and is part of Expedia.
Productionize Serverless Application Building and Deployments with AWS SAM - ...Amazon Web Services
Learning Objectives:
- Learn abou the SAM template design best practices (e.g., use of globals, mappings, parameters, and conditionals)
- Learn how to test and debug serverless applications with SAM Local
- Learn how to customize SAM itself with the open source SAM implementation
Gluecon 2018 - The Best Practices and Hard Lessons Learned of Serverless Appl...Chris Munns
In November 2014, AWS Lambda introduced developers to serverless compute with automatic scaling, pay-per-request billing, and built-in high availability. As a result, startups and enterprises are changing the way they build their applications. Since then, we've learned a lot from our customers about what it takes to build successful serverless applications. We’ve also seen some common and not so common missteps that developers building serverless applications have made along the way. Today, we're going to share those learnings, and show you how you can build the best serverless application that you can.
In this talk, we’ll dive deep the best practices for developing Serverless applications. This session will cover local development, testing, debugging, followed by deployment best practices (CI/CD).
In questo workshop abbiamo parlato di GraphQL, un query language che permette di estrarre e manipolare i dati provenienti dal back-end in maniera semplice ed efficiente, fornendo una valida alternativa all'utilizzo e sviluppo di API REST.
Serverless Architectural Patterns and Best Practices - Madhu Shekar - AWSCodeOps Technologies LLP
This presentation was made by Madhusudan Shekar (Principal Evangelist) at AWS - on 9th June 2018 in Bridgei2i Analytics, Bangalore as part of Cloud Native meetup.
Serverless DevOps to the Rescue - SRV330 - re:Invent 2017Amazon Web Services
Join this workshop for a crash course in serverless DevOps! This workshops presents a scenario in which you help out Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions.
Requirements: Laptop, AWS account, basic Git experience. Recommended: Previous experience with the AWS Management Console and AWS CloudFormation templates, some familiarity with the AWS Developer Tools services, and preferably one of the AWS Associate certifications.
This presentation has the following objectives:
1.Understand Serverless Key Concepts.
2.Understand Event Processing Architecture.
3.Understand Operation Automation Architecture.
4.Understand Web Application Architecture.
5.Understand Data Processing Architecture.
a.Kinesis-based apps.
b.IoT-based apps.
AWS Serverless Application Model (SAM) is a template driven tool for creating and managing serverless applications. In just a few lines of code you can define complex AWS Lambda based serverless applications, security permissions, and advanced configuration capabilities. Join us as we dive deep into best practices and tricks for using SAM at scale, including how to make the most of the dynamic template capabilities of SAM, how to use advanced features such as deployment preferences and policy templates, and how to debug serverless applications with SAM CLI.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Building Serverless Microservices with AWSDonnie Prakoso
Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features.
For those who are building microservices, this deck provides you a guideline on what AWS services you can use to build microservices, starting from development, deployment tools to coordination.
In this session, we explore different approaches to migrating Microsoft applications to AWS. We walk through important considerations when planning a migration, and we show how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. We use a case study format to dive deep into successfully planning an application migration. Participants work in teams to plan a SharePoint migration that integrates with an existing Active Directory.
Build and Deploy Serverless Applications with AWS SAM - SRV316 - Chicago AWS ...Amazon Web Services
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the new open-source AWS SAM translator, and see how AWS SAM works under the hood.
Here are the seven best practices for getting started on AWS. Learn more about the key aspects you should focus on when getting started with the AWS Cloud.
"Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities. In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS’s serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions).
We will discuss how to use serverless architectures for a variety of use cases including data processing, website backends, serverless applications, and “operational glue.” You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately."
SRV315_How We Built a Mission-Critical, Serverless File Processing Pipeline f...Amazon Web Services
In this session, principal architect Mike Broadway describes how HomeAway built a high-throughput, scalable pipeline for manipulating, storing, and serving hundreds of image files every second with Lambda, Amazon S3, DynamoDB, and Amazon SNS. He also shares best practices and lessons learned as they scaled their mission-critical On Demand Image Service (ODIS) system into production. Lambda functions form the backbone of ODIS, which handles over 100 million photographs that are uploaded to HomeAway's vacation rental platform. HomeAway is a vacation rental marketplace with more than 2 million rentals in 190 countries and is part of Expedia.
Productionize Serverless Application Building and Deployments with AWS SAM - ...Amazon Web Services
Learning Objectives:
- Learn abou the SAM template design best practices (e.g., use of globals, mappings, parameters, and conditionals)
- Learn how to test and debug serverless applications with SAM Local
- Learn how to customize SAM itself with the open source SAM implementation
Gluecon 2018 - The Best Practices and Hard Lessons Learned of Serverless Appl...Chris Munns
In November 2014, AWS Lambda introduced developers to serverless compute with automatic scaling, pay-per-request billing, and built-in high availability. As a result, startups and enterprises are changing the way they build their applications. Since then, we've learned a lot from our customers about what it takes to build successful serverless applications. We’ve also seen some common and not so common missteps that developers building serverless applications have made along the way. Today, we're going to share those learnings, and show you how you can build the best serverless application that you can.
In this talk, we’ll dive deep the best practices for developing Serverless applications. This session will cover local development, testing, debugging, followed by deployment best practices (CI/CD).
In questo workshop abbiamo parlato di GraphQL, un query language che permette di estrarre e manipolare i dati provenienti dal back-end in maniera semplice ed efficiente, fornendo una valida alternativa all'utilizzo e sviluppo di API REST.
Serverless Architectural Patterns and Best Practices - Madhu Shekar - AWSCodeOps Technologies LLP
This presentation was made by Madhusudan Shekar (Principal Evangelist) at AWS - on 9th June 2018 in Bridgei2i Analytics, Bangalore as part of Cloud Native meetup.
The slides from my talk at the AWS DevDays in the Nordics.
https://aws.amazon.com/events/Devdays-Nordics/agenda/
Objectives:
- Understand Serverless Key Concepts.
- Understand Event Processing Architecture.
- Understand Operation Automation Architecture.
- Understand Web Application Architecture.
- Understand Data Processing Architecture.
* Kinesis-based apps.
* IoT-based apps.
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the Approved open-source AWS SAM translator, and see how AWS SAM works under the hood.
AWS Lambda allows you to run your code on a Serverless infrastructure, while AWS takes care of all the heavy lifting of Provisioning and utilization, Availability and fault tolerance, Scaling and Operations and management. In this session, we will take few use cases, from common development scenarios, and show how we can use AWS Lambda to build smarter and better systems.
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Modern Applications Web Day | Impress Your Friends with Your First Serverless...AWS Germany
"Build and run applications without thinking about servers". You want it? You get it! We will start this session with a motivation why serverless applications are a thing. Once we got there, we will actually start building one, of course with making use of a serverless CI/CD pipeline. After we will have looked into how we can still test it locally, we shall also dive into analyzing and debugging our app - of course in a serverless manner.
Speaker: Dirk Fröhner, Senior Solutions Architect, AWS
Build Enterprise-Grade Serverless Apps - SRV315 - Atlanta AWS SummitAmazon Web Services
In this session, we explore how developers can design, develop, deliver, and monitor cloud applications as they take advantage of the AWS serverless platform and developer toolset. We discuss common serverless patterns used by enterprises, and we dive into the operational and security features used by large and mature organizations.
Building serverless enterprise applications - SRV315 - Toronto AWS SummitAmazon Web Services
Learn how to design, develop, deliver, and monitor enterprise applications as they take advantage of the AWS serverless platform and developer toolset. We will discuss discuss common serverless patterns used by enterprises, and hos to implemente operational and security features used by large and mature organizations.
Build Enterprise-Grade Serverless Apps - SRV315 - Chicago AWS SummitAmazon Web Services
In this session, we explore how developers can design, develop, deliver, and monitor cloud applications as they take advantage of the AWS serverless platform and developer toolset. We share technical insights that developers can use to optimize their workflows and their use of cloud resources, which, in turn, can improve security, scalability, and availability. We also discuss common serverless patterns used by enterprises, and we dive into the operational and security features used by large and mature organizations.
Building Serverless Enterprise Applications - SRV315 - Anaheim AWS SummitAmazon Web Services
In this session, learn how to design, develop, deliver, and monitor enterprise applications as they take advantage of the AWS serverless platform and developer toolset. We discuss the common serverless patterns that enterprises use, and we explain how to implement the operational and security features that are used by large and mature organizations.
High-Throughput Genomics on AWS - LFS309 - re:Invent 2017Amazon Web Services
Learn how to containerize common tools used in genomics for use on Amazon ECS, and then orchestrate workflows using these containerized tools with AWS Batch and AWS Step Functions. Participants have the opportunity to deploy a primary and secondary sequencing analysis workflow on AWS and learn some of the best practices for AWS Batch and Step Functions.
Learn how to containerize common tools used in genomics for use on Amazon ECS, and then orchestrate workflows using these containerized tools with AWS Batch and AWS Step Functions. Participants have the opportunity to deploy a primary and secondary sequencing analysis workflow on AWS and learn some of the best practices for AWS Batch and Step Functions.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
