Amazon Web Services offers cloud website hosting solutions that provides businesses, non-profits, and governmental organizations with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. Our agenda is "How to deploy a dynamic website using Amazon Web Services". We will discuss some special services on amazon that is AWS Elastic Cloud Compute (EC2), Relational Database Service (RDS), Elastic Load Balancing (ELB), Route 53 (R53).
Scaling your web app horizontally and vertically (ahmedabad amazon aws cloud...Jhalak Modi
Auto Scaling helps you maintain application availability and allows you to scale your Amazon EC2 capacity up or down automatically according to conditions you define. You can use Auto Scaling to help ensure that you are running your desired number of Amazon EC2 instances. Auto Scaling can also automatically increase the number of Amazon EC2 instances during demand spikes to maintain performance and decrease capacity during lulls to reduce costs. Auto Scaling is well suited both to applications that have stable demand patterns or that experience hourly, daily, or weekly variability in usage.
What is AWS?
Most Popular AWS Products
What is Serverless Architecture?
Asynchronous Serverless Model
Synchronous Serverless Model
Amazon Lambda
https://notebookbft.wordpress.com/
This document summarizes a presentation about best practices for AWS ECS and serverless architectures. It discusses the challenges of traditional infrastructures and benefits of containerization. It provides an overview of AWS ECS for container management and auto-scaling capabilities. It also introduces AWS Lambda and API Gateway for building serverless applications, including their advantages of being cloud-native and cost-effective with minimal infrastructure to manage. Some limitations of serverless architectures are also outlined. The conclusion encourages embracing immutable infrastructure, event-driven computing, and focusing on business logic over infrastructure when possible.
This document discusses Viadeo's plans to move its entire infrastructure to AWS. It provides background on Viadeo's current infrastructure and use of AWS services. Key reasons for fully migrating to AWS include improving agility, optimizing costs by avoiding hardware refreshes, implementing stronger disaster recovery, and efficiently handling unpredictable workloads. The migration will be gradual rather than a "big bang." Challenges include some initial performance/cost trade-offs and cleaning up technical debt. Automation, scalability, and safety will be top objectives.
AWS Lambda Containers - bridging the gap between serverless and containers on...Yun Zhi Lin
This document discusses bridging the gap between serverless and containers by leveraging AWS Lambda container image support. It begins by introducing the speaker and their experience with serverless technologies. The rest of the document is organized into sections that discuss why serverless and containers make sense together, demonstrate how to implement and migrate to Lambda container images using examples, highlight some pitfalls to watch out for, and argue that containers can be improved with a serverless-first approach.
AWS offers several EC2 purchasing options to optimize costs for different workload types. On-Demand is for short-term or unpredictable workloads, Reserved Instances provide significant discounts for steady workloads by reserving capacity long-term, and Spot Instances allow unused capacity to be purchased at steep discounts. Customers can optimize costs by right-sizing instances, increasing elasticity through automation, and continuously monitoring usage to identify optimization opportunities across purchasing options.
Eric Holmes from Remind discussed building an internal Platform as a Service (PaaS) called Empire using Docker and Amazon EC2 Container Service (ECS). Remind started on Heroku but encountered issues with scaling and visibility. Empire provides a management layer on top of ECS for deploying and scaling microservices. It implements a subset of the Heroku API and provides a single binary and CLI. Empire is running 15 of Remind's production services on ECS with improved performance over Heroku. A demo was shown of deploying a sample app with Empire.
Serverless architecture with AWS Lambda (June 2016)Julien SIMON
The document discusses serverless architecture using AWS Lambda. It describes how AWS Lambda allows developers to deploy code without provisioning or managing servers. Lambda runs code in response to events and automatically scales with traffic. The document provides examples of building serverless applications and data pipelines using Lambda along with other AWS services like API Gateway, DynamoDB, Kinesis and S3. It emphasizes that serverless applications on AWS can be built with no servers to manage and scale to any level of traffic.
Scaling your web app horizontally and vertically (ahmedabad amazon aws cloud...Jhalak Modi
Auto Scaling helps you maintain application availability and allows you to scale your Amazon EC2 capacity up or down automatically according to conditions you define. You can use Auto Scaling to help ensure that you are running your desired number of Amazon EC2 instances. Auto Scaling can also automatically increase the number of Amazon EC2 instances during demand spikes to maintain performance and decrease capacity during lulls to reduce costs. Auto Scaling is well suited both to applications that have stable demand patterns or that experience hourly, daily, or weekly variability in usage.
What is AWS?
Most Popular AWS Products
What is Serverless Architecture?
Asynchronous Serverless Model
Synchronous Serverless Model
Amazon Lambda
https://notebookbft.wordpress.com/
This document summarizes a presentation about best practices for AWS ECS and serverless architectures. It discusses the challenges of traditional infrastructures and benefits of containerization. It provides an overview of AWS ECS for container management and auto-scaling capabilities. It also introduces AWS Lambda and API Gateway for building serverless applications, including their advantages of being cloud-native and cost-effective with minimal infrastructure to manage. Some limitations of serverless architectures are also outlined. The conclusion encourages embracing immutable infrastructure, event-driven computing, and focusing on business logic over infrastructure when possible.
This document discusses Viadeo's plans to move its entire infrastructure to AWS. It provides background on Viadeo's current infrastructure and use of AWS services. Key reasons for fully migrating to AWS include improving agility, optimizing costs by avoiding hardware refreshes, implementing stronger disaster recovery, and efficiently handling unpredictable workloads. The migration will be gradual rather than a "big bang." Challenges include some initial performance/cost trade-offs and cleaning up technical debt. Automation, scalability, and safety will be top objectives.
AWS Lambda Containers - bridging the gap between serverless and containers on...Yun Zhi Lin
This document discusses bridging the gap between serverless and containers by leveraging AWS Lambda container image support. It begins by introducing the speaker and their experience with serverless technologies. The rest of the document is organized into sections that discuss why serverless and containers make sense together, demonstrate how to implement and migrate to Lambda container images using examples, highlight some pitfalls to watch out for, and argue that containers can be improved with a serverless-first approach.
AWS offers several EC2 purchasing options to optimize costs for different workload types. On-Demand is for short-term or unpredictable workloads, Reserved Instances provide significant discounts for steady workloads by reserving capacity long-term, and Spot Instances allow unused capacity to be purchased at steep discounts. Customers can optimize costs by right-sizing instances, increasing elasticity through automation, and continuously monitoring usage to identify optimization opportunities across purchasing options.
Eric Holmes from Remind discussed building an internal Platform as a Service (PaaS) called Empire using Docker and Amazon EC2 Container Service (ECS). Remind started on Heroku but encountered issues with scaling and visibility. Empire provides a management layer on top of ECS for deploying and scaling microservices. It implements a subset of the Heroku API and provides a single binary and CLI. Empire is running 15 of Remind's production services on ECS with improved performance over Heroku. A demo was shown of deploying a sample app with Empire.
Serverless architecture with AWS Lambda (June 2016)Julien SIMON
The document discusses serverless architecture using AWS Lambda. It describes how AWS Lambda allows developers to deploy code without provisioning or managing servers. Lambda runs code in response to events and automatically scales with traffic. The document provides examples of building serverless applications and data pipelines using Lambda along with other AWS services like API Gateway, DynamoDB, Kinesis and S3. It emphasizes that serverless applications on AWS can be built with no servers to manage and scale to any level of traffic.
Building a WorkFlow using AWS Step Functions with SkycatchAmazon Web Services
The document discusses building a data processing workflow using AWS Step Functions. It describes using Step Functions to coordinate Lambda functions, AWS API calls, and running ECS tasks to break down a workflow into steps. Step Functions allows defining the order the steps are executed and passing data between steps to build a serverless workflow for processing data without managing infrastructure.
This document discusses building a serverless data pipeline using AWS Lambda and other AWS managed services. It provides a 12 step process to create a serverless architecture that collects event data via API calls, stores it in DynamoDB, processes it with Lambda, sends it to Kinesis and Kinesis Firehose, and archives it in S3. This allows building scalable and cost-effective data pipelines and applications without having to manage any servers.
Building a data warehouse with Amazon Redshift … and a quick look at Amazon ...Julien SIMON
This document provides a summary of a presentation about building data warehouses with Amazon Redshift and using Amazon Machine Learning. The presentation discusses how Amazon Redshift can be used to build a petabyte-scale data warehouse with SQL and no system administration. Case studies are presented showing companies saving on total cost of ownership by migrating to Amazon Redshift. It also briefly introduces Amazon Machine Learning for building predictive models with managed services. Demo examples are shown of loading data into Redshift and using ML to train a regression model and create a real-time prediction API.
Learn how AWS services can make it easier for you to rapidly release new features, help you avoid downtime during deployment, and handle the complexity of updating your applications.
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 the benefits of serverless architectures and the basics of the serverless stack AWS provides. We will also walk through how you can use serverless architectures for everything from data processing to mobile and web backends.
This document discusses AWS CloudFormation, which allows users to automate the deployment of AWS resources through templates. It describes how CloudFormation templates define resources using JSON, how templates can include parameters, mappings, and conditions. Common uses of CloudFormation include replicating environments, deploying to different regions, and disaster recovery. The presentation includes a demo of creating a VPC and LAMP stack using CloudFormation.
Running Docker clusters on AWS (June 2016)Julien SIMON
The document discusses running Docker clusters on AWS using Amazon ECS. It provides an overview of ECS and related services like ECR and EFS. It also presents case studies of companies like Coursera, Remind, Hailo and Segment that use ECS to run Docker containers. The document demonstrates ECS architectures using fixed ports and an ELB, service discovery with DNS, and Weave for service registration. It also shows demos of RancherOS on ECS and a microservices architecture using Registrator, Consul and Fabio for service discovery.
Using Amazon CloudWatch Events, AWS Lambda and Spark Streaming to Process EC...Julien SIMON
This document discusses using Amazon CloudWatch Events, AWS Lambda, and Spark Streaming to process EC2 instance events. Specifically, it describes setting up a workflow where EC2 instance launch and termination events are sent to a Lambda function via CloudWatch rules. The Lambda function then writes the event data to a Kinesis Data Firehose delivery stream, which stores the data in an S3 bucket. Finally, the data in S3 is processed using Spark Streaming to analyze and act on the EC2 events.
This document provides tips and best practices for using AWS Elastic Load Balancers (ELBs). It covers topics like load testing ELBs, using SSL with ELBs, CNAME records, balancing traffic both within and across availability zones, L4 load balancing support, internal ELBs, ELB logging, stickiness, blue/green deployments using ELBs, connection draining, using the ELB CLI for continuous integration/continuous delivery, auto scaling with ELB metrics, using CloudFront in front of ELBs, and some limitations around microservices support. The overall message is that ELBs are generally easy to use but have some limitations, so it's important to understand how to configure them properly
Amazon EC2 Container Service (ECS) allows users to easily run and manage containerized applications at scale. It supports running containers on a cluster of EC2 instances, provides scheduling and health monitoring, and integrates with other AWS services. The Amazon EC2 Container Registry (ECR) is a fully managed Docker container registry that allows users to store and deploy container images. Common patterns for ECS include using it to run services/microservices and batch jobs by sharing resource pools across containers.
This webinar covered various DevOps topics using AWS services like CloudFormation, OpsWorks, CloudWatch, and WorkSpaces. CloudFormation allows defining infrastructure as code and bootstrapping instances. OpsWorks manages the application lifecycle. CloudWatch provides monitoring and logging. WorkSpaces enables provisioning cloud-based desktops for developers. Questions from attendees were taken using the webinar interface.
This document discusses serverless architectures using AWS Lambda. It provides an overview of serverless computing and AWS Lambda, outlines some common use cases and challenges at OpsGenie, and describes their serverless technology stack. Some key points include:
- AWS Lambda allows running code without managing servers and only paying for the compute time used
- OpsGenie uses AWS Lambda along with other serverless AWS services like DynamoDB, S3, and API Gateway for various use cases including reporting, indexing data to Elasticsearch, and a service management pilot
- Challenges of using serverless include Java cold starts, proper monitoring without agents, and deployment processes
Deploy, Manage, and Scale Your Apps with OpsWorks and Elastic BeanstalkAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
AWS Code{Commit,Deploy,Pipeline} (June 2016)Julien SIMON
This document discusses AWS developer tools for continuous integration and continuous delivery (CI/CD) pipelines. It provides an overview of AWS CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. The presentation demonstrates setting up a CI/CD pipeline with a sample web application using these AWS Code services.
The document profiles Nemanja Kostic, a Serbian solution architect with over 20 years of experience designing and implementing commercial software solutions. It highlights his expertise in AWS cloud architectures, serverless services, microservices, and Domain Driven Design. The document also provides an overview of Java development resources on AWS, including services for running, developing, and integrating Java applications with AWS. It demonstrates examples like AWS Elastic Beanstalk, AWS Lambda, AWS CDK, and Amazon CodeGuru.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
An introduction to serverless architectures (February 2017)Julien SIMON
An introduction to serverless
AWS Lambda
Amazon API Gateway
Demo: writing your first Lambda function
Demo: building a serverless pipeline
Additional resources
Amazon Web Services (AWS) provides Elastic Load Balancing to automatically distribute incoming web traffic across multiple Amazon Elastic Compute Cloud (Amazon EC2) instances.
With Elastic Load Balancing, you can add and remove EC2 instances as your needs change without disrupting the overall flow of information. If one EC2 instance fails, Elastic Load Balancing automatically reroutes the traffic to the remaining running EC2 instances. If the failed EC2 instance is restored, Elastic Load Balancing restores the traffic to that instance.
Elastic Load Balancing offers clients a single point of contact, and it can also serve as the first line of defense against attacks on your network. You can offload the work of encryption and decryption to Elastic Load Balancing, so your servers can focus on their main task.
This document discusses scaling applications in the AWS cloud. It begins with an overview of AWS services like EC2, S3, RDS, and ELB. It then walks through creating a simple cloud application and database, and improving it by separating components, adding redundancy, caching, and autoscaling. A real-world example is shown using Vert.x, Kinesis, Docker, and deployment scripts to dynamically scale a streaming data application across Availability Zones.
Building a WorkFlow using AWS Step Functions with SkycatchAmazon Web Services
The document discusses building a data processing workflow using AWS Step Functions. It describes using Step Functions to coordinate Lambda functions, AWS API calls, and running ECS tasks to break down a workflow into steps. Step Functions allows defining the order the steps are executed and passing data between steps to build a serverless workflow for processing data without managing infrastructure.
This document discusses building a serverless data pipeline using AWS Lambda and other AWS managed services. It provides a 12 step process to create a serverless architecture that collects event data via API calls, stores it in DynamoDB, processes it with Lambda, sends it to Kinesis and Kinesis Firehose, and archives it in S3. This allows building scalable and cost-effective data pipelines and applications without having to manage any servers.
Building a data warehouse with Amazon Redshift … and a quick look at Amazon ...Julien SIMON
This document provides a summary of a presentation about building data warehouses with Amazon Redshift and using Amazon Machine Learning. The presentation discusses how Amazon Redshift can be used to build a petabyte-scale data warehouse with SQL and no system administration. Case studies are presented showing companies saving on total cost of ownership by migrating to Amazon Redshift. It also briefly introduces Amazon Machine Learning for building predictive models with managed services. Demo examples are shown of loading data into Redshift and using ML to train a regression model and create a real-time prediction API.
Learn how AWS services can make it easier for you to rapidly release new features, help you avoid downtime during deployment, and handle the complexity of updating your applications.
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 the benefits of serverless architectures and the basics of the serverless stack AWS provides. We will also walk through how you can use serverless architectures for everything from data processing to mobile and web backends.
This document discusses AWS CloudFormation, which allows users to automate the deployment of AWS resources through templates. It describes how CloudFormation templates define resources using JSON, how templates can include parameters, mappings, and conditions. Common uses of CloudFormation include replicating environments, deploying to different regions, and disaster recovery. The presentation includes a demo of creating a VPC and LAMP stack using CloudFormation.
Running Docker clusters on AWS (June 2016)Julien SIMON
The document discusses running Docker clusters on AWS using Amazon ECS. It provides an overview of ECS and related services like ECR and EFS. It also presents case studies of companies like Coursera, Remind, Hailo and Segment that use ECS to run Docker containers. The document demonstrates ECS architectures using fixed ports and an ELB, service discovery with DNS, and Weave for service registration. It also shows demos of RancherOS on ECS and a microservices architecture using Registrator, Consul and Fabio for service discovery.
Using Amazon CloudWatch Events, AWS Lambda and Spark Streaming to Process EC...Julien SIMON
This document discusses using Amazon CloudWatch Events, AWS Lambda, and Spark Streaming to process EC2 instance events. Specifically, it describes setting up a workflow where EC2 instance launch and termination events are sent to a Lambda function via CloudWatch rules. The Lambda function then writes the event data to a Kinesis Data Firehose delivery stream, which stores the data in an S3 bucket. Finally, the data in S3 is processed using Spark Streaming to analyze and act on the EC2 events.
This document provides tips and best practices for using AWS Elastic Load Balancers (ELBs). It covers topics like load testing ELBs, using SSL with ELBs, CNAME records, balancing traffic both within and across availability zones, L4 load balancing support, internal ELBs, ELB logging, stickiness, blue/green deployments using ELBs, connection draining, using the ELB CLI for continuous integration/continuous delivery, auto scaling with ELB metrics, using CloudFront in front of ELBs, and some limitations around microservices support. The overall message is that ELBs are generally easy to use but have some limitations, so it's important to understand how to configure them properly
Amazon EC2 Container Service (ECS) allows users to easily run and manage containerized applications at scale. It supports running containers on a cluster of EC2 instances, provides scheduling and health monitoring, and integrates with other AWS services. The Amazon EC2 Container Registry (ECR) is a fully managed Docker container registry that allows users to store and deploy container images. Common patterns for ECS include using it to run services/microservices and batch jobs by sharing resource pools across containers.
This webinar covered various DevOps topics using AWS services like CloudFormation, OpsWorks, CloudWatch, and WorkSpaces. CloudFormation allows defining infrastructure as code and bootstrapping instances. OpsWorks manages the application lifecycle. CloudWatch provides monitoring and logging. WorkSpaces enables provisioning cloud-based desktops for developers. Questions from attendees were taken using the webinar interface.
This document discusses serverless architectures using AWS Lambda. It provides an overview of serverless computing and AWS Lambda, outlines some common use cases and challenges at OpsGenie, and describes their serverless technology stack. Some key points include:
- AWS Lambda allows running code without managing servers and only paying for the compute time used
- OpsGenie uses AWS Lambda along with other serverless AWS services like DynamoDB, S3, and API Gateway for various use cases including reporting, indexing data to Elasticsearch, and a service management pilot
- Challenges of using serverless include Java cold starts, proper monitoring without agents, and deployment processes
Deploy, Manage, and Scale Your Apps with OpsWorks and Elastic BeanstalkAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
AWS Code{Commit,Deploy,Pipeline} (June 2016)Julien SIMON
This document discusses AWS developer tools for continuous integration and continuous delivery (CI/CD) pipelines. It provides an overview of AWS CodeCommit for source control, CodePipeline for continuous delivery, and CodeDeploy for automated deployments. The presentation demonstrates setting up a CI/CD pipeline with a sample web application using these AWS Code services.
The document profiles Nemanja Kostic, a Serbian solution architect with over 20 years of experience designing and implementing commercial software solutions. It highlights his expertise in AWS cloud architectures, serverless services, microservices, and Domain Driven Design. The document also provides an overview of Java development resources on AWS, including services for running, developing, and integrating Java applications with AWS. It demonstrates examples like AWS Elastic Beanstalk, AWS Lambda, AWS CDK, and Amazon CodeGuru.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
An introduction to serverless architectures (February 2017)Julien SIMON
An introduction to serverless
AWS Lambda
Amazon API Gateway
Demo: writing your first Lambda function
Demo: building a serverless pipeline
Additional resources
Amazon Web Services (AWS) provides Elastic Load Balancing to automatically distribute incoming web traffic across multiple Amazon Elastic Compute Cloud (Amazon EC2) instances.
With Elastic Load Balancing, you can add and remove EC2 instances as your needs change without disrupting the overall flow of information. If one EC2 instance fails, Elastic Load Balancing automatically reroutes the traffic to the remaining running EC2 instances. If the failed EC2 instance is restored, Elastic Load Balancing restores the traffic to that instance.
Elastic Load Balancing offers clients a single point of contact, and it can also serve as the first line of defense against attacks on your network. You can offload the work of encryption and decryption to Elastic Load Balancing, so your servers can focus on their main task.
This document discusses scaling applications in the AWS cloud. It begins with an overview of AWS services like EC2, S3, RDS, and ELB. It then walks through creating a simple cloud application and database, and improving it by separating components, adding redundancy, caching, and autoscaling. A real-world example is shown using Vert.x, Kinesis, Docker, and deployment scripts to dynamically scale a streaming data application across Availability Zones.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
Serverless Web Apps using API Gateway, Lambda and DynamoDBAmazon Web Services
This document provides an overview of serverless computing using AWS services like API Gateway, Lambda and DynamoDB. It begins with an introduction to serverless computing and how it differs from traditional VM-based and container-based architectures by focusing on functions as the unit of scale. It then provides overviews of DynamoDB as a fully managed NoSQL database service and Lambda for running code without managing servers. It discusses how API Gateway can be used to create serverless APIs that integrate with Lambda. The document concludes with best practices tips for using Lambda and serverless deployment with AWS SAM.
Cost is often the conversation starter when customers think about moving to the cloud. AWS helps lower costs for customers through its “pay only for what you use” pricing model, frequent price drops, and pricing model choice to support variable & stable workloads. In this session, you will learn about the financial considerations of owning and operating a traditional data center or managed hosting provider versus utilizing AWS. We will detail our TCO methodology and showcase cost comparisons for some common customer use-cases. We’ll also cover a few AWS cost optimization areas, including Spot and Reserved Instances, EC2 Auto Scaling, and consolidated billing.
Presenter:
Amit Sharma, Solution Architect, Amazon Internet Services
Krishnenjit Roy, Director IT Operations, Freshdesk
DevOps, Continuous Integration & Deployment on AWS discusses practices for software development on AWS including DevOps, continuous integration, continuous delivery, and continuous deployment. It provides an overview of AWS services that can be used at different stages of the software development lifecycle such as CodeCommit for source control, CodePipeline for release automation, and CodeDeploy for deployment. National Novel Writing Month (NaNoWriMo) maintains its websites and services on AWS to support its annual writing challenge. It migrated to AWS to improve uptime and scalability. Its future goals include porting older sites to Rails, using Amazon SES for email, load balancing with ELB, implementing auto scaling, and using services like CodeDeploy, SNS
DevOps, Continuous Integration and Deployment on AWS: Putting Money Back into...Amazon Web Services
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of AWS’s most advanced customers on how their organizations handle DevOps, continuous integration and deployment. Learn how these practices allow them to rapidly develop, iterate, test and deploy highly-scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services they use.
From the perspective of software developers, you must still build, integrate, and deploy the software that makes up your Serverless Stack, be it Lambda functions, APIs in API gateway, databases in DynamoDB, streams in Kinesis, and so on. What does provisioning, continuous integration, continuous deployment, and monitoring look like in the Serverless world? We will look at effective end-to-end approaches for to achieve all of the above.
Speaker: Krishnan Mani,
Solutions Architect, Amazon India
Architecting for AWS Cloud - let's do it right!Misha Hanin
The power of AWS cloud needs to be understood to be harnessed in the most effective manner. This first Winnipeg AWS User Group meetup provides a forum to explore the technology approach delivering successful solutions on AWS.
Just as serverless application development is rapidly becoming the most popular way to bring highly scalable applications to the cloud, .NET has undergone radical changes with .NET Core to become a premier development platform for the cloud. In this session, you will learn how to use the newly launched C# support for .NET Core with AWS Lambda to create highly scalable serverless applications that target platforms from the traditional desktop to mobile devices. We will demonstrate how to write, test, and deploy C# code to AWS Lambda and see how we can leverage our serverless back end from mobile applications.
Discover how to architect fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can work alongside various AWS services to boost resiliency, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, learn about authentication and authorization, and explore various hybrid scenarios involving on-premises solutions or infrastructure. Examine common architecture patterns for network design, Microsoft Active Directory, and business productivity; as well as common scenarios for custom .NET, .NET Core with Microsoft SQL deployments, and migrations.
Artur Rodrigues, Senior Solutions Architect, Amazon Web Services
AWS January 2016 Webinar Series - Introduction to Deploying Applications on AWSAmazon Web Services
Based on your specific needs and the nature of your application, AWS offers a variety of services for getting your application up and running. You may want to launch and scale a web application or you may want to host a microservices application using Docker containers. How do you decide which service to use and when?
In this webinar, we will provide an overview of the AWS services that help simplify launching and running your application in the cloud. We will discuss the strengths of each service and provide a framework for understanding when to use them.
Learning Objectives:
Understand the primary services for deploying your application on AWS
Learn the basics of AWS Elastic Beanstalk, AWS CodeDeploy, and Amazon EC2 Container Service
Gain an understanding of the strengths of each service and when to use them
Who Should Attend:
Developers, DevOps Engineers, IT Professionals
In this session you will learn how you can run popular enterprise workloads from Microsoft, Oracle and SAP on AWS.
We will discuss how you can choose between installing and configuring your own applications or launching entire software stacks from Oracle, SAP and Microsoft in minutes by choosing from a large selection of pre-configured virtual machines images and templates. In both many cases, customers may be able to use their existing software licenses in the AWS cloud with no additional license fees.
O serviço Elastic Beanstalk da AWS permite que voce automatize o lançamento de aplicativos e sites inteiros na nuvem da AWS. Nesta apresentação, feita durante o AWS Summit 2015, mostramos como usá-lo.
(DVO305) Turbocharge YContinuous Deployment Pipeline with ContainersAmazon Web Services
This document outlines best practices for using containers in a continuous delivery pipeline. It recommends using containers with tools like Docker, Docker Compose, Amazon ECS, Jenkins, and AWS CodePipeline to build, test, and deploy applications. The workflow involves developing code in a source code repository, building Docker images, running tests inside containers, and deploying containers to production using Amazon ECS and AWS services for automation and orchestration of the pipeline. Demo applications and architectures are presented to illustrate container-based continuous delivery.
ENT201 Simplifying Microsoft Architectures with AWS ServicesAmazon Web Services
Learn how to architect fully available and scalable Microsoft solutions and environments in AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, plan authentication and authorization, and explore various hybrid scenarios with other cloud environment and on-premises solutions or infrastructure. Learn about common architecture patterns for network design, Microsoft Active Directory, and business productivity solutions like Dynamics AX, CRM, and Microsoft SharePoint, also common scenarios for custom .NET, .NET Core with Microsoft SQL deployments and migrations.
AWS re:Invent 2016: Application Lifecycle Management in a Serverless World (S...Amazon Web Services
This document discusses serverless application lifecycle management (ALM) techniques. It provides an overview of common serverless use cases like web applications and data processing. It then outlines a serverless ALM checklist including configuration/management, deployment methods, and tracing/troubleshooting. Specific AWS services for packaging, deploying, automating deployment, and monitoring serverless applications like AWS Lambda, AWS Serverless Application Model (SAM), AWS CodePipeline, and AWS CloudWatch are also discussed. The document concludes with a call for feedback and further exploration of serverless ALM best practices.
Similar to Building A Dynamic Website - 31st Jan 2015 (20)
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
3. Building A
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Speaker’s Note
Janak Thakkar
• 6+ years of exp. with Linux, Virtulization and Cloud
• mailid: thakkarjanak1811@gmail.com
• Ph. No: 9067077200
Dhawal Bhatt
• 7+ years of exp with Linux, Virtulization and Cloud
• mailid: dhawalbhatt9@gmail.com
• Ph. No: 9016805331
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Elastic Compute Cloud (EC2) is...
• Hardware As A Service
• A Web service that provides resizable compute capacity in
the cloud.
• Designed to make Web-scale computing easier for
developers.
• A simple Web service interface that provides complete
control of your computing resources
• create/destroy from the command line
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27. Building A
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AWS Meetup
Team
Speaker’s
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Architecture
Diagram
RDS
EC2
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ELB
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Clean up
Elastic Compute Cloud (EC2) is...
• Hardware As A Service
• A Web service that provides resizable compute capacity in
the cloud.
• Designed to make Web-scale computing easier for
developers.
• A simple Web service interface that provides complete
control of your computing resources
• create/destroy from the command line
11 / 25
28. Building A
Dynamic
Website
AWS Meetup
Team
Speaker’s
Note
Architecture
Diagram
RDS
EC2
Deploy Your
App
ELB
Route 53
Clean up
Elastic Compute Cloud (EC2) is...
• Hardware As A Service
• A Web service that provides resizable compute capacity in
the cloud.
• Designed to make Web-scale computing easier for
developers.
• A simple Web service interface that provides complete
control of your computing resources
• create/destroy from the command line
11 / 25
29. Building A
Dynamic
Website
AWS Meetup
Team
Speaker’s
Note
Architecture
Diagram
RDS
EC2
Deploy Your
App
ELB
Route 53
Clean up
Elastic Compute Cloud (EC2) is...
• Hardware As A Service
• A Web service that provides resizable compute capacity in
the cloud.
• Designed to make Web-scale computing easier for
developers.
• A simple Web service interface that provides complete
control of your computing resources
• create/destroy from the command line
11 / 25
30. Building A
Dynamic
Website
AWS Meetup
Team
Speaker’s
Note
Architecture
Diagram
RDS
EC2
Deploy Your
App
ELB
Route 53
Clean up
Elastic Compute Cloud (EC2) is...
• Hardware As A Service
• A Web service that provides resizable compute capacity in
the cloud.
• Designed to make Web-scale computing easier for
developers.
• A simple Web service interface that provides complete
control of your computing resources
• create/destroy from the command line
11 / 25
31. Building A
Dynamic
Website
AWS Meetup
Team
Speaker’s
Note
Architecture
Diagram
RDS
EC2
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App
ELB
Route 53
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Concepts
• Amazon Machine Image (AMI):
• Bootable root disk
• Pre-defined or user-built
• Catalog of user-built AMIs
• OS: Fedora, Centos, Gentoo, Debian, Ubuntu, Windows
Server
• Instance:
• Running copy of an AMI
• Launch in less than 2 minutes
• Start or stop programmatically
• Network Security Model:
• Explicit access control
• Security groups
• Inter-service bandwidth is free
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Using EC2
• Create an Amazon Machine Image (AMI).
• Configure security and network access.
• Choose the type(s) of instance you want to run.
• Start, terminate, and monitor as many instances of your
AMI as needed, using the web service APIs.
• Pay for the instance-hours and bandwidth that you
actually consume.
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Concusion
• Reduces the time required to obtain and boot new server
instances to minutes
• Quickly scales capacity, both up and down, as your
computing requirements change
• Changes the economics of computing:
• Pay only for capacity that you actually use
• a + bc becomes just bc
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Deploy Your App
• Connect to Your Linux Instance
• ssh -i my-key-pair.pem
ec2-user@ec2-198-51-100-1.compute-1.amazonaws.com
• Configure the EC2 Instance
• Start the Web Server
• Install the App
• Test the Website
• Update Permissions
• Create a Custom AMI
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Overview
Elastic Load Balancing automatically distributes incoming
application traffic across multiple Amazon EC2 instances in the
cloud. It enables you to achieve greater levels of fault tolerance
in your applications, seamlessly providing the required amount
of load balancing capacity needed to distribute application
traffic.
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Benefits and Use Cases
Benefits
• Available: Achieve higher levels of fault tolerance for your
applications
• Elastic: automatically scales its request handling capacity
to meet the demands of application traffic
• Secure: provide robust networking and security features
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Benefits and Use Cases
Use Cases
• Achieving Even Better Fault Tolerance for Your
Applications
• DNS Failover for Elastic Load Balancing
• Auto Scaling with Elastic Load Balancing
• Easy to create an internet-facing entry point into your
VPC or to balance load between tiers of your application
within your VPC
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