DevOps is currently one of the most sought after engineering models. One reason is that it helps enterprise transformations. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. Come and learn from our journey as we share the playbook that helped us successfully implement and adopt DevOps as well as the lessons we learned the hard way.
Migrating Data to the Cloud: Explore Your Options From AWSAmazon Web Services
AWS offers a variety of data migration services and tools to facilitate moving gigabytes to petabytes of data using your networks, our networks, or even email. Learn about the available data migration options, including the AWS Snowball family, AWS Storage Gateway, Amazon S3 Transfer Acceleration, and other approaches. We provide the guidance to help you find the right service or tool to fit your requirements, and share relevant customers use cases to inspire your first steps with the cloud.
Reinventing SAP on AWS: Scale & Simplify SAP Operations on AWSAmazon Web Services
Enterprise customers are increasingly moving their entire SAP landscape, including production environments, to AWS. This enables them to increase business agility and reduce costs. In this session, learn how AWS provides infrastructure designed for large-scale and in-memory applications with one of the lowest price-memory ratios. Also, learn how AWS simplifies SAP operations with AWS Step Functions to automate one of the most time-consuming and error-prone tasks in any SAP landscape – SAP System Refresh.
How do you break a monolithic application into microservices? Learn how AWS delivers the integrated building blocks to support the move to containerized microservices for any application architecture, regardless of scale, load, or complexity. Learn more about the newly released AWS App Mesh and how it makes it easy to monitor and control containerized microservices. We will explore different options for running containers on AWS, such as AWS Fargate (serverless containers), EKS, and ECS.
The document discusses BookingGo's transformation to adopt cloud-native and DevOps practices. It describes how BookingGo broke up its monolithic architecture into microservices organized around product teams. This reduced blockers between teams and allowed for independent and faster deployments. BookingGo also adopted agile methodologies, infrastructure as code, and a "you build it, you run it" culture. The result was a 8x increase in productivity, services deploying in under 3 minutes, and all infrastructure running on AWS cloud services. Adopting these practices helped BookingGo keep up with the pace of innovation needed to be competitive in the travel industry.
How do I grow with my organization and meet my organization's needs? How do I rise to the new challenges before me? In this session we discuss the differences in preparing to operate in the cloud, what your operational priorities need to be, how to start designing for operations, and building your operational readiness. We will walk you through the process of how to launch your new life in the cloud. You will learn to make the early choices that lay the foundations for a successful adoption of cloud services. At the end of this session you will understand the key considerations when planning your personal journey to the cloud. This session is for leaders, operations, service owners and anyone interested in how to get started in the cloud to ensure successful business outcomes.
The document discusses building data lakes and analytics on AWS. It provides an overview of challenges posed by big data including volume, velocity, variety and veracity of data. It then describes how AWS services like S3, Glue and Athena can help address these challenges by allowing quick ingestion and storage of raw data in its original format. The document also discusses best practices for preparing and analyzing data in the lake using services like EMR, Redshift and SageMaker to derive insights and drive machine learning models.
AWS allows you to share any amount of data with as many people as you want. Come learn about how governments, research institutions, and even private companies are using AWS to share massive amounts of data publicly. In this session, you will learn best practices for sharing data in the cloud, how to find publicly available datasets through the Registry of Open Data on AWS, and how you can share your own data through AWS. You will also learn practical examples of how government agencies can use open data in their own operations to achieve their missions at lower cost.
1. SkinVision is a company that uses machine learning and smartphone cameras to detect skin cancer, finding over 27,000 cases of skin cancer and 5,000 cases of melanoma.
2. SkinVision uses AWS services for security, scalability, availability, and innovation in building their machine learning models and mobile apps at scale.
3. SkinVision's machine learning approach involves engineering models for repeatability, traceability, measurability, and using infrastructure as code to automate processes and minimize costs.
Migrating Data to the Cloud: Explore Your Options From AWSAmazon Web Services
AWS offers a variety of data migration services and tools to facilitate moving gigabytes to petabytes of data using your networks, our networks, or even email. Learn about the available data migration options, including the AWS Snowball family, AWS Storage Gateway, Amazon S3 Transfer Acceleration, and other approaches. We provide the guidance to help you find the right service or tool to fit your requirements, and share relevant customers use cases to inspire your first steps with the cloud.
Reinventing SAP on AWS: Scale & Simplify SAP Operations on AWSAmazon Web Services
Enterprise customers are increasingly moving their entire SAP landscape, including production environments, to AWS. This enables them to increase business agility and reduce costs. In this session, learn how AWS provides infrastructure designed for large-scale and in-memory applications with one of the lowest price-memory ratios. Also, learn how AWS simplifies SAP operations with AWS Step Functions to automate one of the most time-consuming and error-prone tasks in any SAP landscape – SAP System Refresh.
How do you break a monolithic application into microservices? Learn how AWS delivers the integrated building blocks to support the move to containerized microservices for any application architecture, regardless of scale, load, or complexity. Learn more about the newly released AWS App Mesh and how it makes it easy to monitor and control containerized microservices. We will explore different options for running containers on AWS, such as AWS Fargate (serverless containers), EKS, and ECS.
The document discusses BookingGo's transformation to adopt cloud-native and DevOps practices. It describes how BookingGo broke up its monolithic architecture into microservices organized around product teams. This reduced blockers between teams and allowed for independent and faster deployments. BookingGo also adopted agile methodologies, infrastructure as code, and a "you build it, you run it" culture. The result was a 8x increase in productivity, services deploying in under 3 minutes, and all infrastructure running on AWS cloud services. Adopting these practices helped BookingGo keep up with the pace of innovation needed to be competitive in the travel industry.
How do I grow with my organization and meet my organization's needs? How do I rise to the new challenges before me? In this session we discuss the differences in preparing to operate in the cloud, what your operational priorities need to be, how to start designing for operations, and building your operational readiness. We will walk you through the process of how to launch your new life in the cloud. You will learn to make the early choices that lay the foundations for a successful adoption of cloud services. At the end of this session you will understand the key considerations when planning your personal journey to the cloud. This session is for leaders, operations, service owners and anyone interested in how to get started in the cloud to ensure successful business outcomes.
The document discusses building data lakes and analytics on AWS. It provides an overview of challenges posed by big data including volume, velocity, variety and veracity of data. It then describes how AWS services like S3, Glue and Athena can help address these challenges by allowing quick ingestion and storage of raw data in its original format. The document also discusses best practices for preparing and analyzing data in the lake using services like EMR, Redshift and SageMaker to derive insights and drive machine learning models.
AWS allows you to share any amount of data with as many people as you want. Come learn about how governments, research institutions, and even private companies are using AWS to share massive amounts of data publicly. In this session, you will learn best practices for sharing data in the cloud, how to find publicly available datasets through the Registry of Open Data on AWS, and how you can share your own data through AWS. You will also learn practical examples of how government agencies can use open data in their own operations to achieve their missions at lower cost.
1. SkinVision is a company that uses machine learning and smartphone cameras to detect skin cancer, finding over 27,000 cases of skin cancer and 5,000 cases of melanoma.
2. SkinVision uses AWS services for security, scalability, availability, and innovation in building their machine learning models and mobile apps at scale.
3. SkinVision's machine learning approach involves engineering models for repeatability, traceability, measurability, and using infrastructure as code to automate processes and minimize costs.
How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
AWS now offers the simple services of data migration at a petabyte scale. You can easily move large volumes of data from onsite to the cloud. You can also quickly get started with the cloud as a backup target using data transfer services such as AWS Snowball AWS Snowball Edge or AWS Storage Gateway. Learn about the available data migration options and which one is the right fit for your requirements. We discuss customer use cases and review the different applications they used with our data migration services to cut their IT expenditures and management time on hardware and backup solutions.
Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...AWS Summits
This document summarizes a presentation on architecting microservices on AWS. It discusses using AWS services like API Gateway, ECS, Lambda, SNS and Cloud Map to build scalable and resilient microservices architectures. It also provides an example "AWSome Airlines" architecture showing how different services like a frontend, data microservices, machine learning services and a serverless scheduler can be integrated. Design concepts discussed include leveraging managed services, having loosely coupled and event-driven systems, and simplifying delivery and discovery.
- VMware Cloud on AWS allows customers to run VMware workloads on AWS infrastructure managed by VMware, providing a consistent hybrid cloud experience. It offers high availability, disaster recovery, and access to AWS services.
- The document discusses how VMware Cloud on AWS can help with cloud migrations, data center extensions, and disaster recovery use cases. It also provides examples of customers migrating hundreds of VMs and mission critical applications to take advantage of these benefits.
- The solution is operated and maintained directly by VMware, allowing customers to focus on their applications rather than infrastructure. It also integrates with AWS networking and storage services.
Artifical Intelligence and Machine Learning 201, AWS Federal Pop-Up LoftAmazon Web Services
Come join us for a one-day session where you will learn about the science of computer vision (CV) and train custom CV models utilizing Amazon SageMaker. In this course, you'll learn about Amazon's managed machine learning platform and utilize publicly available real-world ground truth data sets to train models leveraging the built-in ML algorithms of Amazon SageMaker to detect objects and buildings. This is a hands-on workshop, attendees should bring your own laptops.
Learn how Snowball Edge and AWS Elemental can aid in Tactical Edge deployment scenarios. Examine specific use cases in Motion Imagery, and how hybrid cloud combined with AWS Media Services are enabling a next-generation FMV (full motion video) experience for Defense & Intelligence workflows.
Innovate - How AsiaPac is helping Customers to Build a Restricted Cloud Envir...Amazon Web Services
Discover how AsiaPac is helping government, education and nonprofit organizations to architect and migrate their mission-critical applications onto AWS - with secure, high-performing, resilient, and efficient infrastructure. As more organizations move towards cloud, learn how best practices have been implemented on AsiaPac's full-lifecycle services - to provision, run, and support infrastructure, as well as managed services to reduce customer's operation overhead and risks.
Building with Purpose-Built Databases: Match Your Workload to the Right DatabaseAmazon Web Services
Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, and more. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Dive into how AWS capacity matches your organizational demand, charges only for what you use, offers lower costs due to economies of scale, and provides service from a vendor versed in running large-scale networks. Learn about AWS services and infrastructure – including AWS regions and Availability Zones – and trace the evolution of AWS since its early beginnings. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
Easily add intelligence to your applications using pre-trained AI services for computer vision, speech, translation, transcription, natural language processing, and conversational chatbots. No machine learning skills required.
AWS Initiate Day Manchester 2019 – AWS Migrating Data to the CloudAmazon Web Services
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private network connections, AWS DataSync for online transfer of active data, the AWS Snowball family for offline data transfer including the Snowball Edge for edge computing needs, and AWS Storage Gateway for hybrid storage. It provides an overview of these services and examples or use cases for migrating different types of data on deadlines and budgets.
The document discusses AWS migration tools and strategies. It provides an overview of AWS services like Application Discovery Service and Migration Hub that help with discovery, planning, and tracking migrations. It also summarizes common migration patterns and challenges, and highlights how tools like ADS can help with discovery of on-premises assets and costs to better plan a migration. Example customer migrations are provided that leveraged AWS to reduce costs while improving agility.
The document discusses strategies for executing a large-scale migration to AWS. It outlines establishing a cloud enablement team and AWS landing zone to provide a secure, scalable multi-account environment. Application migration strategies discussed include discovery, determining the migration path, rehosting/lift and shift, and replatforming/lift and reshape. Specific migration tools and services mentioned include AWS Application Discovery Service, VMware HCX, AWS Server Migration Service, and AWS Database Migration Service.
The document discusses strategies for migrating IT workloads to the cloud. It describes common drivers for cloud migration like cost reduction and agility. Potential barriers are also outlined, such as existing investments and lack of cloud expertise. The main sections of the document are on migration planning, common migration strategies ranging from rehosting to rearchitecting, examples of migration patterns, and modernizing applications on AWS.
The document discusses Amazon Web Services and various AI/ML services they offer including Amazon Comprehend, Amazon Rekognition, Amazon Personalize, Amazon Forecast, and Amazon SageMaker. It provides overviews and examples of how each service can be used to extract insights from text/images, perform personalized recommendations, generate forecasts from time-series data, and build/deploy machine learning models.
ENT203-Building a Solid Business Case for Cloud Migration.pdfAmazon Web Services
Favorable economics are the starting point for a compelling business case to move to the cloud, but it is only part of the total picture. The cloud can provide benefits in additional areas such as technology optimization, cost of change, and business value. In this session, you will learn a framework and the tools available to create a compelling business case for a large-scale migration to AWS.
Learn about how Amazon enables its developers to rapidly release and iterate software, while maintaining industry leading standards on security, reliability and performance. In this talk, we will discuss the culture of two pizza teams and how to maintain a culture of DevOps in a large enterprise.
Glauber Gallego, Solutions Architect, Amazon Web Services
Luis Fernando Torres, Cloud Infrastructure Advisor, Universidad Distrital
A Tale of Two Pizzas: Accelerating Software Delivery with AWS Developer ToolsAmazon Web Services
Software release cycles are now measured in days instead of months. Organizations at the leading edge are continuously delivering high-quality software at a fast pace. In this session, we cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy - the services inspired by Amazon's internal developer tools and DevOps practices.
How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
AWS now offers the simple services of data migration at a petabyte scale. You can easily move large volumes of data from onsite to the cloud. You can also quickly get started with the cloud as a backup target using data transfer services such as AWS Snowball AWS Snowball Edge or AWS Storage Gateway. Learn about the available data migration options and which one is the right fit for your requirements. We discuss customer use cases and review the different applications they used with our data migration services to cut their IT expenditures and management time on hardware and backup solutions.
Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...AWS Summits
This document summarizes a presentation on architecting microservices on AWS. It discusses using AWS services like API Gateway, ECS, Lambda, SNS and Cloud Map to build scalable and resilient microservices architectures. It also provides an example "AWSome Airlines" architecture showing how different services like a frontend, data microservices, machine learning services and a serverless scheduler can be integrated. Design concepts discussed include leveraging managed services, having loosely coupled and event-driven systems, and simplifying delivery and discovery.
- VMware Cloud on AWS allows customers to run VMware workloads on AWS infrastructure managed by VMware, providing a consistent hybrid cloud experience. It offers high availability, disaster recovery, and access to AWS services.
- The document discusses how VMware Cloud on AWS can help with cloud migrations, data center extensions, and disaster recovery use cases. It also provides examples of customers migrating hundreds of VMs and mission critical applications to take advantage of these benefits.
- The solution is operated and maintained directly by VMware, allowing customers to focus on their applications rather than infrastructure. It also integrates with AWS networking and storage services.
Artifical Intelligence and Machine Learning 201, AWS Federal Pop-Up LoftAmazon Web Services
Come join us for a one-day session where you will learn about the science of computer vision (CV) and train custom CV models utilizing Amazon SageMaker. In this course, you'll learn about Amazon's managed machine learning platform and utilize publicly available real-world ground truth data sets to train models leveraging the built-in ML algorithms of Amazon SageMaker to detect objects and buildings. This is a hands-on workshop, attendees should bring your own laptops.
Learn how Snowball Edge and AWS Elemental can aid in Tactical Edge deployment scenarios. Examine specific use cases in Motion Imagery, and how hybrid cloud combined with AWS Media Services are enabling a next-generation FMV (full motion video) experience for Defense & Intelligence workflows.
Innovate - How AsiaPac is helping Customers to Build a Restricted Cloud Envir...Amazon Web Services
Discover how AsiaPac is helping government, education and nonprofit organizations to architect and migrate their mission-critical applications onto AWS - with secure, high-performing, resilient, and efficient infrastructure. As more organizations move towards cloud, learn how best practices have been implemented on AsiaPac's full-lifecycle services - to provision, run, and support infrastructure, as well as managed services to reduce customer's operation overhead and risks.
Building with Purpose-Built Databases: Match Your Workload to the Right DatabaseAmazon Web Services
Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, and more. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Dive into how AWS capacity matches your organizational demand, charges only for what you use, offers lower costs due to economies of scale, and provides service from a vendor versed in running large-scale networks. Learn about AWS services and infrastructure – including AWS regions and Availability Zones – and trace the evolution of AWS since its early beginnings. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
Easily add intelligence to your applications using pre-trained AI services for computer vision, speech, translation, transcription, natural language processing, and conversational chatbots. No machine learning skills required.
AWS Initiate Day Manchester 2019 – AWS Migrating Data to the CloudAmazon Web Services
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private network connections, AWS DataSync for online transfer of active data, the AWS Snowball family for offline data transfer including the Snowball Edge for edge computing needs, and AWS Storage Gateway for hybrid storage. It provides an overview of these services and examples or use cases for migrating different types of data on deadlines and budgets.
The document discusses AWS migration tools and strategies. It provides an overview of AWS services like Application Discovery Service and Migration Hub that help with discovery, planning, and tracking migrations. It also summarizes common migration patterns and challenges, and highlights how tools like ADS can help with discovery of on-premises assets and costs to better plan a migration. Example customer migrations are provided that leveraged AWS to reduce costs while improving agility.
The document discusses strategies for executing a large-scale migration to AWS. It outlines establishing a cloud enablement team and AWS landing zone to provide a secure, scalable multi-account environment. Application migration strategies discussed include discovery, determining the migration path, rehosting/lift and shift, and replatforming/lift and reshape. Specific migration tools and services mentioned include AWS Application Discovery Service, VMware HCX, AWS Server Migration Service, and AWS Database Migration Service.
The document discusses strategies for migrating IT workloads to the cloud. It describes common drivers for cloud migration like cost reduction and agility. Potential barriers are also outlined, such as existing investments and lack of cloud expertise. The main sections of the document are on migration planning, common migration strategies ranging from rehosting to rearchitecting, examples of migration patterns, and modernizing applications on AWS.
The document discusses Amazon Web Services and various AI/ML services they offer including Amazon Comprehend, Amazon Rekognition, Amazon Personalize, Amazon Forecast, and Amazon SageMaker. It provides overviews and examples of how each service can be used to extract insights from text/images, perform personalized recommendations, generate forecasts from time-series data, and build/deploy machine learning models.
ENT203-Building a Solid Business Case for Cloud Migration.pdfAmazon Web Services
Favorable economics are the starting point for a compelling business case to move to the cloud, but it is only part of the total picture. The cloud can provide benefits in additional areas such as technology optimization, cost of change, and business value. In this session, you will learn a framework and the tools available to create a compelling business case for a large-scale migration to AWS.
Learn about how Amazon enables its developers to rapidly release and iterate software, while maintaining industry leading standards on security, reliability and performance. In this talk, we will discuss the culture of two pizza teams and how to maintain a culture of DevOps in a large enterprise.
Glauber Gallego, Solutions Architect, Amazon Web Services
Luis Fernando Torres, Cloud Infrastructure Advisor, Universidad Distrital
A Tale of Two Pizzas: Accelerating Software Delivery with AWS Developer ToolsAmazon Web Services
Software release cycles are now measured in days instead of months. Organizations at the leading edge are continuously delivering high-quality software at a fast pace. In this session, we cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy - the services inspired by Amazon's internal developer tools and DevOps practices.
Getting Started with Microservices, Containers, and Serverless ArchitecturesAmazon Web Services
The document outlines a presentation on getting started with microservices, containers, and serverless architectures. The agenda includes discussing microservices patterns, operational models, serverless architectures, and best practices. It then covers topics like AWS developer tools for continuous integration/delivery, serverless concepts, examples of serverless applications, streaming data, and data lakes. Overall the presentation introduces architectural approaches and AWS services for building and managing modern cloud-native applications.
When it comes to building our own services, our engineering groups have strong opinions, and they express them in the technologies they pick: Are microservices always the way to go? Should we choose serverless, containers, or serverless containers? Is relational over? Is Java over? Learn about our experience in building AWS services and working with customers on their cloud-native apps.
Transform with Cloud to drive your Future | AWS Summit Tel Aviv 2019Amazon Web Services
Innovation and agility are not for startups only, getting a competitive edge requires combining cloud-based tools and business challenges in innovative ways to drive operating efficiency, open new revenue streams, and evolve customer engagement models. In this session we will imagine the future. We will explore how to transform with Cloud to drive your future.
The document discusses Amazon's approach to DevOps. It explains that Amazon needed to innovate rapidly to support thousands of teams making millions of deployments per year using microservices and continuous delivery practices. Amazon broke processes into fine-grained units and assigned them to autonomous two-pizza teams. These teams adopted agile methodologies and learned to work together across functions like development, operations, security, and quality assurance using a DevOps approach. Amazon also built shared tools, services, and best practices to support these teams in their DevOps journey.
Laying the Groundwork for Change - Cloud Culture Starts at the TopAmazon Web Services
Join this session to learn more about the importance of executive sponsorship to establish priorities and secure the resources to drive a cloud strategy forward. We also share best practices and patterns to build a single threaded, multi-disciplinary team to incubate and accelerate cloud initiatives that transform the way technology supports the business.
AWS Summit Singapore 2019 | Mobile Apps that Engage Users and React in Real-TimeAmazon Web Services
Speaker: Paul Sears, Solutions Architect, ASEAN, AWS
The best backend is useless if there is no compelling user interface for end users to engage with it. Today, building engaging experiences across web and mobile devices is easier than ever with serverless backends, allowing you to focus on the user experience — and cutting edge applications are not breaking new ground in how they react to requests and changes to user behaviour in real time. In this session, we demonstrate how you can build a scalable, production-ready app quickly with GraphQL and serverless technologies. We will also demonstrate how to engage users in real time based on events and user behaviours to drive contextual and relevant user interactions.
The document discusses Amazon's approach to DevOps. It begins with an agenda that includes an overview of DevOps, how Amazon implemented it, and a demo. It then discusses how Amazon broke up monolithic applications into microservices owned by autonomous teams. These teams adopted agile methodologies and a DevOps culture of collaboration between development and operations. Amazon built a large set of tools to support this approach and shares its learnings and practices. The document concludes that DevOps is a continuous journey and provides resources to learn more.
A DoD organization had unique challenges developing and deploying applications in multiple security domains (running workloads across AWS commercial regions, the Secret Region and C2S), which is a common pattern in the DoD. Over the last year, they have reorganized their technical team comprised of military service members, government employees and contractors to adopt the DevOps approach to software development. Developers and infrastructure teams are now closely aligned using agile methods including weekly sprints and daily standup meetings. They have embraced containerization and Kubernetes, as well as AWS native automation capabilities and partner tools, which enables them to develop and deploy across AWS commercial, Secret and C2S regions. They have a unique and time-sensitive application and mission requirements that required quick, iterative code releases. These methods and tool sets are somewhat unique in the DoD and they have acted as a pathfinder for adoption by the broader community.
AWS Initiate Day Manchester 2019 – Moving to DevOps the Amazon WayAmazon Web Services
The document discusses how Amazon implemented DevOps practices. It describes how Amazon broke applications into microservices owned by autonomous teams. These teams adopted agile methodologies and worked collaboratively across functions like development, testing, operations and security. Amazon also built tools and shared practices to support continuous delivery at scale. The document recommends starting a DevOps transformation by forming a pilot team to prove out the approach before expanding it across the organization through learning and iteration.
The document is a presentation on building minimum viable products (MVPs) on AWS. It discusses what an MVP is, core foundations like development processes and architectures, anti-patterns to avoid, and examples of architectural patterns that can be used like monoliths, microservices, and serverless. It also covers AWS services that can be used for different data modeling needs like relational databases, key-value stores, and analytics.
From Unattended Ground Sensors (UGS) to Installations; Leveraging AWS IoT fo...Amazon Web Services
Attendees will learn how to apply cutting edge AWS IoT and machine learning technologies at the edge. The session will cover a broad set of use cases from the remote disconnected fringe, to situational awareness for an installation. Novetta will demonstrate a flexible sensor platform, which uses business logic and machine learning to interpret sensor outputs for a broad array of physical security and tactical missions. This session is sponsored by Novetta.
Speaker: Olivier Klein, Head of Emerging Technologies, AWS
Building applications is changing rapidly and data is now key to success. The code that powers your distributed applications needs to be portable and embrace open-source frameworks to fast-track dev efforts and abstract away difficult concepts. A rapid expansion of ecosystems and cloud computing are driving an incredibly fast pace of innovation with rapid growth in cloud-connected systems and edge devices, whilst advances in machine learning create increasingly intelligent systems. So, in this fast-paced, complex world, what are the strategies and techniques that builders can use to create successful, data-driven platforms of the future? How can they embrace distributed computing models in a highly-available and scalable manner and derive business value through data-centric deployments? Join us for our Techfest keynote to hear about new concepts, services, open-source frameworks, and methodologies in conjunction with AWS to help builders innovate faster in a lean fashion.
Cloud Management for Government Agencies: Enabling IT Transformation through ...Amazon Web Services
The cloud — through rapid provisioning times accelerated development and access to new technologies — has changed the way public sector institutions operate, driving innovation and responsiveness to rapidly changing technology. Learn how federal, state, and local agencies have leveraged multi-cloud management by unifying cost management, billing and invoicing, and security and compliance into one dashboard. See how SaaS-based and Self-Hosted (AMI) solutions combined with AWS and its partners enable IT transformation by easing cost management and allocation changes, advising on savvy investment and budget strategies, ensuring secure configuration, and maintaining ongoing compliance — all while driving innovation in the public cloud. This session is sponsored by CloudCheckr.
Applications built on a microservices-based architecture and packaged as containers bring several benefits to your organization. In this session, AWS highlights potential hurdles, how to plan your migration to microservices, and how to use containers and serverless architecture to manage this journey.
AWS Initiate Day Dublin 2019 – Moving to DevOps the Amazon WayAmazon Web Services
The document discusses Amazon's approach to DevOps. It explains how Amazon transitioned from monolithic development to microservices and empowered small, cross-functional teams to work independently and quickly. Key aspects of Amazon's approach included organizational alignment, adopting agile methodologies, continuous delivery pipelines, breaking processes into microservices, and establishing shared best practices. The document outlines lessons learned and recommends starting a DevOps transformation by forming a pilot team to prove out the approach before expanding organization-wide.
The document discusses Amazon Web Services (AWS) and provides an agenda for a student summit. It includes an introduction to AWS, descriptions of AWS programs for students and startups, examples of customers that use AWS, and how to develop skills on AWS. It also discusses serverless computing, DevOps, and resources for developers.
The Scout24 Data Platform - a technical deep diveseangustafson
Presentation by Raffael Dzikowski and Sean Gustafson of Scout24 AG at the 2019 AWS Summit Berlin.
Abstract:
The Scout24 Data Platform powers all reporting, ad hoc analytics and machine learning products at AutoScout24 and ImmobilienScout24. In this talk, we will take a technical deep dive into our modern, cloud-based big data platform. We will discuss our evolution of approaches to ingestion, ETL, access control, reporting and machine learning with a focus on in-the-trenches learnings gained from our many failures and successes as we migrated from a traditional Oracle Data Warehouse to an AWS-based data lake.
Designing, deploying and maintaining APIs for your mobile application is a challenge. In between authentication, authorization, data access, notifications, offline devices and the usual non functional requirements of availability, scalability and shrinking budgets.
During this session, I will show you how to deploy a GraphQL API, without requiring to be an API expert. I will show you how to easily integrate an authentication wall, with minimal coding. By attending this session you will be able to accelerate the development of your web & mobile applications by using simplified backends in the cloud.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
https://secure.flickr.com/photos/mgifford/4525333972
"What is DevOps and why?”
Amazon's own transformation and how by using DevOps we became more agile with our product delivery
AWS services that’ can assist customer with their DevOps transformation
If times allows a small demo
You should walk away with a high level understanding of the different parts involved with a DevOps transformation, and an idea of how AWS services in your own DevOps processes
Please note this is a level 200 – Entry level discussion about DevOps and how it helped Amazon
DevOps is about removing the barriers
Improve both the productivity of developers and the reliability of operations.
By communicating and owning the overall product the team can improve the quality of services they provide to customers
Quality assurance and security teams may also become tightly integrated with these teams
In some organizations, there may not even be separate development and operations teams; but just a team!
DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.
DevOps is about removing the barriers
Improve both the productivity of developers and the reliability of operations.
By communicating and owning the overall product the team can improve the quality of services they provide to customers
Quality assurance and security teams may also become tightly integrated with these teams
In some organizations, there may not even be separate development and operations teams; but just a team!
DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.
Organizations might also use a microservices architecture to make their applications more flexible and enable quicker innovation. The microservices architecture decouples large, complex systems into simple, independent projects. Applications are broken into many individual components (services) with each service scoped to a single purpose or function and operated independently of its peer services and the application as a whole.
By deploying microservices you can perform frequent but small updates. And by doing so you innovate faster for your customers.
Frequent but small updates make each deployment less risky as it is easier to address bugs and identify issues
However, the combination of microservices and increased release frequency leads to significantly more deployments which can present operational challenges. Thus, DevOps practices like continuous integration and continuous delivery solve these issues and let organizations deliver rapidly in a safe and reliable manner.
The current slide demonstrates the overall Devops pipeline
Infrastructure automation practices, like infrastructure as code and configuration management, help to keep computing resources elastic and responsive to frequent changes.
By using Infrastructure as Code companies can achieve :
Cost (reduction),
Speed (faster execution)
Risk (remove errors and security violations)
Cost reduction aims at helping not only the enterprise financially but also in terms of people and effort, meaning that by removing the manual component, people are able to refocus their efforts towards other enterprise tasks
Infrastructure automation enables speed through faster execution when configuring your infrastructure
Automation removes the risk associated with human error, like manual misconfiguration; removing this can decrease downtime and increase reliability
Active monitoring becomes increasingly important as services must be available 24/7 and as application and infrastructure update frequency increases. By using API driven approach and creating alerts or performing real-time analysis of this data also helps organizations more proactively monitor their services.
This is what we call feedback loop.
Lets talk summarize the DevOps benefits
Communication and Collaboration
Increased communication and collaboration in an organization is one of the key cultural aspects of DevOps. The use of DevOps tooling and automation of the software delivery process establishes collaboration by physically bringing together the workflows and responsibilities of development and operations. Building on top of that, these teams set strong cultural norms around information sharing and facilitating communication through the use of chat applications, issue or project tracking systems, and wikis. This helps speed up communication across developers, operations, and even other teams like marketing or sales, allowing all parts of the organization to align more closely on goals and projects.
More effective teams that share the same ownership and accountability for the benefits of the customer
Improved collaborate ,which reduces inefficiencies and saves time
Rapid delivery of releases so you can innovate and improve your product faster. The quicker you can release new features and fix bugs, the faster you can respond to your customers’ needs and build competitive advantage.
Practices like continuous integration and continuous delivery to test that each change is functional and safe. Monitoring and logging practices help you stay informed of performance in real-time.
You can adopt a DevOps model without sacrificing security in matter of fact you can dramatically improve it.
By using
automated compliance policies,
fine-grained controls,
configuration management techniques.
You can move quickly while retaining control and preserving compliance. by
For example, using infrastructure as code and policy as code, you can define and then track compliance at scale.
Operate and manage your infrastructure and development processes at scale. Automation and consistency help you manage complex or changing systems efficiently and with reduced risk. For example, infrastructure as code helps you manage your development, testing, and production environments in a repeatable and more efficient manner.
Move at high velocity so you can innovate for customers faster, adapt to changing markets better, and grow more efficient at driving business results. The DevOps model enables your developers and operations teams to achieve these results. For example, microservices and continuous delivery let teams take ownership of services and then release updates to them quicker.
https://www.flickr.com/photos/stevendepolo/5749192025/
- after we tell customers the story of our DevOps transformation, they typically ask us how they can do the same
- I'm not going to over-simplify this, because it is a very complex answer
- this can involve organizational changes, cultural changes, and process changes
- plus there's no one right answer for these
- every company is going to tweak their approach to optimize for their own environment
- but there is one standard thing that every DevOps transformation needs, and that's an efficient and reliable continuous delivery pipeline
Transition to a DevOps operating model mainly depends on tools and principles. However, DevOps is all about changing the enterprise IT culture rather than just tools and processes.
DevOps culture is all about removing the barriers and getting the whole team at one place, which further, improves the work efficiency. Everybody in the company (Not just IT) must understand the importance and competitive advantages of becoming agile can bring to a business.
I will now hand over to Andrew to talk more about the AWS tools that can help become more agile and hopefully I have allowed him time for a small demo