This document provides an introduction and overview of Amazon Web Services (AWS). It summarizes that AWS has over 1 million active customers, including startups, enterprises, and independent software vendors. It describes the vast infrastructure and services available on AWS, including compute, storage, databases, analytics, machine learning and more. It also discusses how AWS supports rapid innovation with new features and services, and provides information on training and certification opportunities to learn AWS.
This document discusses gaming in the cloud using AWS. It notes that AWS has gaming customers in mobile, long-tail free-to-play games with in-app purchases that allow for cross-platform user retention and revenue. Key online features for games are listed as social login, friends, leaderboards, push notifications, content updates, and analytics. It emphasizes that scaling is essential for games and that AWS allows for elastic scaling rather than rigid traditional servers to meet fluctuating demand without wasted costs or upset players. The document provides recommendations for using AWS services like EC2, ELB, S3, RDS, DynamoDB, ElastiCache, CloudFront, and others to launch, scale, and optimize cloud-
The keynote addressed Amazon's move into cloud computing through Amazon Web Services (AWS). It provided an overview of AWS, including its global infrastructure across 9 regions and 25 availability zones. It also discussed the various computing, storage, database, analytics and deployment services offered through AWS. The keynote then explained how businesses are adopting cloud computing to gain speed, agility and lower costs compared to on-premises infrastructure, paying only for what they use. It concluded by highlighting how AWS passes on savings from price reductions to customers.
Introduction to the AWS Cloud from Digital Tuesday MeetupIan Massingham
These are the slides that I used for my Introduction to AWS talk at the South Wales Digital Tuesday Meetup on the 2nd of December 2014.
Find out more about Digital Tuesday at their website here: http://www.digital-tuesday.com/
This document provides an introduction and overview of Amazon Web Services (AWS). It summarizes that AWS has over 1 million active customers, including startups, enterprises, and independent software vendors. It describes the vast infrastructure and services available on AWS, including compute, storage, databases, analytics, machine learning and more. It also discusses how AWS supports rapid innovation with new features and services, and provides information on training and certification opportunities to learn AWS.
This document discusses gaming in the cloud using AWS. It notes that AWS has gaming customers in mobile, long-tail free-to-play games with in-app purchases that allow for cross-platform user retention and revenue. Key online features for games are listed as social login, friends, leaderboards, push notifications, content updates, and analytics. It emphasizes that scaling is essential for games and that AWS allows for elastic scaling rather than rigid traditional servers to meet fluctuating demand without wasted costs or upset players. The document provides recommendations for using AWS services like EC2, ELB, S3, RDS, DynamoDB, ElastiCache, CloudFront, and others to launch, scale, and optimize cloud-
The keynote addressed Amazon's move into cloud computing through Amazon Web Services (AWS). It provided an overview of AWS, including its global infrastructure across 9 regions and 25 availability zones. It also discussed the various computing, storage, database, analytics and deployment services offered through AWS. The keynote then explained how businesses are adopting cloud computing to gain speed, agility and lower costs compared to on-premises infrastructure, paying only for what they use. It concluded by highlighting how AWS passes on savings from price reductions to customers.
Introduction to the AWS Cloud from Digital Tuesday MeetupIan Massingham
These are the slides that I used for my Introduction to AWS talk at the South Wales Digital Tuesday Meetup on the 2nd of December 2014.
Find out more about Digital Tuesday at their website here: http://www.digital-tuesday.com/
Industry 4.0: come i servizi IoT e Big Data di AWS rendono Smart il Manufactu...Amazon Web Services
Industry 4.0, also known as "smart manufacturing", utilizes technologies like the Industrial Internet of Things (IIoT) and big data analytics to increase manufacturing flexibility, speed, productivity, quality and competitiveness. AWS services like IoT, Machine Learning and analytics can help manufacturers digitally transform their operations by connecting devices, analyzing sensor data, and predicting issues in real-time. A leading automotive supplier partnered with AWS to develop an IoT prediction platform using ML to analyze production data from connected machines and reduce waste.
Ian Massingham from Amazon Web Services discusses designing and building applications for the Internet of Things using AWS services. The document outlines how AWS IoT provides scalable connectivity and management for IoT devices, allows processing of sensor data from devices in AWS using services like DynamoDB and Lambda, and addresses challenges of limited capabilities on edge devices through Greengrass, which runs Lambda functions and messaging locally on devices. Greengrass provides the same programming model for both cloud and edge computing with IoT applications.
Trova ed utilizza in modo sicuro nel Cloud il software che ti serve con l'AWS...Amazon Web Services
This document discusses AWS Marketplace and how it can help businesses improve and grow. It provides the following key points:
- AWS Marketplace is an online software store that allows customers to find, test, purchase, and deploy third-party software for use on AWS. It has over 3,600 software listings from more than 1,100 independent software vendors (ISVs).
- AWS Marketplace can help businesses reduce procurement friction by allowing them to find, purchase, and deploy software much more quickly than traditional methods - from months to just minutes. It also helps avoid issues like "shelfware" where purchased software goes unused.
- The marketplace provides value for both buyers by giving them a centralized catalog of approved
This document provides an overview of Amazon Web Services (AWS) presented by Ian Massingham at an AWSome Day event. Some key points:
- AWS has over 1 million active customers including startups, enterprises, and independent software vendors.
- The cloud has become the new normal for companies of all sizes to build and deploy applications faster.
- AWS offers a vast technology platform of infrastructure and services including compute, storage, databases, analytics and more that allows for agility and innovation.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
Introduction to Cloud Computing with Amazon Web Services-ASEAN Workshop Serie...Amazon Web Services
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In the first of this series, we will cover 'Introduction to Cloud Computing with Amazon Web Services'.
AWS re:Invent 2016: Delighting Customers Through Device Data with Salesforce ...Amazon Web Services
The Internet of Things (IoT) produces vast quantities of data that promise a deep, always connected view into customer experiences through their devices. In this connected age, the question is no longer how do you gather customer data, but what do you do with all that data. How do you ingest at massive scale and develop meaningful experiences for your customers? In this session, you learn how Salesforce IoT Cloud works in concert with the AWS IoT engine to ingest and transform all of the data generated by every one of your customers, partners, devices, and sensors into meaningful action. You also see how customers are using Salesforce and AWS together to process massive quantities of data, build business rules with simple, intuitive tools, and engage proactively with customers in real time. Session sponsored by Salesforce.
This document provides an overview of Amazon Web Services (AWS). It discusses AWS's position as a leader in cloud infrastructure services, its vast global infrastructure and integrated technology platform, and its expansive portfolio of cloud services including compute, storage, databases, analytics and artificial intelligence. The summary also notes that AWS continues rapid innovation, releasing new services and features daily to help customers build applications and drive digital transformation.
Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. Over the past decades many open-source projects helped solve problems within the data analytics lifecycle around ingestion, storage, processing and visualisation of data. This session will use practical examples to discuss architectural best practices and lessons learned when solving real-time analytics and data visualisation decision-making problems with open-source at scale with the power of Amazon Web Services. It furthermore dives into a demo, using source code from the AWS Labs to visualise live data streams at scale.
Olivier Klein, Solutions Architect, Amazon Web Services, Greater China
Analisi dei dati con AWS: una panoramica degli strumenti disponibiliAmazon Web Services
This document provides an overview of Amazon Web Services (AWS) tools for data analytics and big data. It discusses what big data is, then outlines several AWS services for collecting, storing, analyzing, visualizing, and extracting/transforming big data, including Amazon Kinesis, S3, Redshift, Athena, EMR, and Glue. It also provides a reference architecture showing how these tools can be combined to build big data applications on AWS.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
In this session, you will learn how to designed clickstream analytics application and how you can use the same architecture to build your own and be ready to handle the changing world of clickstream data. Dive into how to perform advanced user retention and cohort analysis to make near–real time product and marketing decisions. Learn how to build infrastructure that is fast, easy, and cost-effective with AWS resources such as Amazon Kinesis, Spark on Amazon EMR, Amazon S3, Amazon Redshift, and Amazon Elasticsearch.
The document discusses building smart systems using AWS IoT, analytics, and AI. It describes how machine learning and deep learning can be used to gain insights from data collected from devices, sensors, and IoT platforms. It also discusses how AWS IoT, AWS Greengrass, and various AWS services like S3, DynamoDB, Kinesis can be used to collect, store, process and analyze data from IoT devices.
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
IDC and AWS Joint Webinar: Getting the most bang for your buck with EC2 Spot - Amazon Web Services
Learning Objectives:
• Learn best practices that enable more proactive, timely, and innovative applications
• Learn how to deliver more value to users and customers in the form of features and functionality that stem from having access to highly cost-effective compute resources
• Leverage lower compute costs to better compete on price and, as a result, win more business
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. IDC will present a summary of the business value and best practices AWS customer have used to achieve five-year ROIs of 220% and 14% faster application delivery.
Learn what are the challenges to embrace big data and how AWS enables your organisation to resolve challenges and leverage Big Data for Digital Transformation and innovation.
Introduction to Cloud Computing with Amazon Web Services Amazon Web Services
This document provides an introduction and overview of Amazon Web Services (AWS) cloud computing capabilities. It begins with an agenda and overview of how AWS has transformed businesses through its global infrastructure of 11 regions, 30 availability zones, and 53 edge locations. The document then summarizes key customer benefits of AWS including cost savings, agility and elasticity, global deployment capabilities, and platform breadth and pace of innovation. It highlights Gartner recognition and provides examples of startup, enterprise, and regional customers on AWS. The remainder gives demonstrations of core AWS services to help get started, including compute, storage, database, deployment and management tools.
Changing Landscape of Development_Stephen Liedig_AWSHelen Rogers
This document discusses how AWS provides developers with "superpowers" to build mobile, DevOps, and serverless applications. It describes several AWS services that can be used for mobile development, continuous delivery, and serverless computing including AWS Mobile Hub, Lambda, and CodeStar. The document argues that AWS allows developers to focus on their applications without having to manage infrastructure.
Bynder is a digital asset management company that grew 300% between 2013-2016. In 2012, they moved their data and servers to AWS to address bottlenecks. They then adopted a microservices architecture using services like S3, EC2, RDS, and SQS. In 2014, they went global by deploying clusters across regions and read replicas. They now have clusters in US, EU, and Asia to optimize performance based on customer location. Bynder continues to leverage more AWS services and plans to add functions serverless using Lambda.
Industry 4.0: come i servizi IoT e Big Data di AWS rendono Smart il Manufactu...Amazon Web Services
Industry 4.0, also known as "smart manufacturing", utilizes technologies like the Industrial Internet of Things (IIoT) and big data analytics to increase manufacturing flexibility, speed, productivity, quality and competitiveness. AWS services like IoT, Machine Learning and analytics can help manufacturers digitally transform their operations by connecting devices, analyzing sensor data, and predicting issues in real-time. A leading automotive supplier partnered with AWS to develop an IoT prediction platform using ML to analyze production data from connected machines and reduce waste.
Ian Massingham from Amazon Web Services discusses designing and building applications for the Internet of Things using AWS services. The document outlines how AWS IoT provides scalable connectivity and management for IoT devices, allows processing of sensor data from devices in AWS using services like DynamoDB and Lambda, and addresses challenges of limited capabilities on edge devices through Greengrass, which runs Lambda functions and messaging locally on devices. Greengrass provides the same programming model for both cloud and edge computing with IoT applications.
Trova ed utilizza in modo sicuro nel Cloud il software che ti serve con l'AWS...Amazon Web Services
This document discusses AWS Marketplace and how it can help businesses improve and grow. It provides the following key points:
- AWS Marketplace is an online software store that allows customers to find, test, purchase, and deploy third-party software for use on AWS. It has over 3,600 software listings from more than 1,100 independent software vendors (ISVs).
- AWS Marketplace can help businesses reduce procurement friction by allowing them to find, purchase, and deploy software much more quickly than traditional methods - from months to just minutes. It also helps avoid issues like "shelfware" where purchased software goes unused.
- The marketplace provides value for both buyers by giving them a centralized catalog of approved
This document provides an overview of Amazon Web Services (AWS) presented by Ian Massingham at an AWSome Day event. Some key points:
- AWS has over 1 million active customers including startups, enterprises, and independent software vendors.
- The cloud has become the new normal for companies of all sizes to build and deploy applications faster.
- AWS offers a vast technology platform of infrastructure and services including compute, storage, databases, analytics and more that allows for agility and innovation.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
Introduction to Cloud Computing with Amazon Web Services-ASEAN Workshop Serie...Amazon Web Services
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In the first of this series, we will cover 'Introduction to Cloud Computing with Amazon Web Services'.
AWS re:Invent 2016: Delighting Customers Through Device Data with Salesforce ...Amazon Web Services
The Internet of Things (IoT) produces vast quantities of data that promise a deep, always connected view into customer experiences through their devices. In this connected age, the question is no longer how do you gather customer data, but what do you do with all that data. How do you ingest at massive scale and develop meaningful experiences for your customers? In this session, you learn how Salesforce IoT Cloud works in concert with the AWS IoT engine to ingest and transform all of the data generated by every one of your customers, partners, devices, and sensors into meaningful action. You also see how customers are using Salesforce and AWS together to process massive quantities of data, build business rules with simple, intuitive tools, and engage proactively with customers in real time. Session sponsored by Salesforce.
This document provides an overview of Amazon Web Services (AWS). It discusses AWS's position as a leader in cloud infrastructure services, its vast global infrastructure and integrated technology platform, and its expansive portfolio of cloud services including compute, storage, databases, analytics and artificial intelligence. The summary also notes that AWS continues rapid innovation, releasing new services and features daily to help customers build applications and drive digital transformation.
Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. Over the past decades many open-source projects helped solve problems within the data analytics lifecycle around ingestion, storage, processing and visualisation of data. This session will use practical examples to discuss architectural best practices and lessons learned when solving real-time analytics and data visualisation decision-making problems with open-source at scale with the power of Amazon Web Services. It furthermore dives into a demo, using source code from the AWS Labs to visualise live data streams at scale.
Olivier Klein, Solutions Architect, Amazon Web Services, Greater China
Analisi dei dati con AWS: una panoramica degli strumenti disponibiliAmazon Web Services
This document provides an overview of Amazon Web Services (AWS) tools for data analytics and big data. It discusses what big data is, then outlines several AWS services for collecting, storing, analyzing, visualizing, and extracting/transforming big data, including Amazon Kinesis, S3, Redshift, Athena, EMR, and Glue. It also provides a reference architecture showing how these tools can be combined to build big data applications on AWS.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
In this session, you will learn how to designed clickstream analytics application and how you can use the same architecture to build your own and be ready to handle the changing world of clickstream data. Dive into how to perform advanced user retention and cohort analysis to make near–real time product and marketing decisions. Learn how to build infrastructure that is fast, easy, and cost-effective with AWS resources such as Amazon Kinesis, Spark on Amazon EMR, Amazon S3, Amazon Redshift, and Amazon Elasticsearch.
The document discusses building smart systems using AWS IoT, analytics, and AI. It describes how machine learning and deep learning can be used to gain insights from data collected from devices, sensors, and IoT platforms. It also discusses how AWS IoT, AWS Greengrass, and various AWS services like S3, DynamoDB, Kinesis can be used to collect, store, process and analyze data from IoT devices.
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
IDC and AWS Joint Webinar: Getting the most bang for your buck with EC2 Spot - Amazon Web Services
Learning Objectives:
• Learn best practices that enable more proactive, timely, and innovative applications
• Learn how to deliver more value to users and customers in the form of features and functionality that stem from having access to highly cost-effective compute resources
• Leverage lower compute costs to better compete on price and, as a result, win more business
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. IDC will present a summary of the business value and best practices AWS customer have used to achieve five-year ROIs of 220% and 14% faster application delivery.
Learn what are the challenges to embrace big data and how AWS enables your organisation to resolve challenges and leverage Big Data for Digital Transformation and innovation.
Introduction to Cloud Computing with Amazon Web Services Amazon Web Services
This document provides an introduction and overview of Amazon Web Services (AWS) cloud computing capabilities. It begins with an agenda and overview of how AWS has transformed businesses through its global infrastructure of 11 regions, 30 availability zones, and 53 edge locations. The document then summarizes key customer benefits of AWS including cost savings, agility and elasticity, global deployment capabilities, and platform breadth and pace of innovation. It highlights Gartner recognition and provides examples of startup, enterprise, and regional customers on AWS. The remainder gives demonstrations of core AWS services to help get started, including compute, storage, database, deployment and management tools.
Changing Landscape of Development_Stephen Liedig_AWSHelen Rogers
This document discusses how AWS provides developers with "superpowers" to build mobile, DevOps, and serverless applications. It describes several AWS services that can be used for mobile development, continuous delivery, and serverless computing including AWS Mobile Hub, Lambda, and CodeStar. The document argues that AWS allows developers to focus on their applications without having to manage infrastructure.
Bynder is a digital asset management company that grew 300% between 2013-2016. In 2012, they moved their data and servers to AWS to address bottlenecks. They then adopted a microservices architecture using services like S3, EC2, RDS, and SQS. In 2014, they went global by deploying clusters across regions and read replicas. They now have clusters in US, EU, and Asia to optimize performance based on customer location. Bynder continues to leverage more AWS services and plans to add functions serverless using Lambda.
The document provides information about an AWSome Day event including opportunities to win prizes in a draw. It encourages attendees to navigate to a website for the draw and lists the prizes. It also notes that special offers will be available at their booth. The remainder of the document discusses reasons why customers use AWS, including agility, the breadth and depth of AWS platforms and services, innovation at scale, and cost savings and flexibility. It provides examples of how various companies are using AWS for tasks like development and testing, new workloads, supplementing existing workloads, migrating applications, data center migration, and moving their entire IT to the cloud.
AWSome Day was an event hosted by AWS Nordics to promote AWS services and solutions. The document advertised prizes that could be won by entering an online draw. It also promoted booth activities at the event and special offers related to AWSome Day. Key topics covered in presentations included the primary reasons businesses use AWS like agility, the breadth of AWS platforms and services, innovation at AWS's scale, and AWS's cost savings and pricing flexibility. Examples were given of how different companies in the Nordics were using AWS for tasks like development and testing, new workloads, supplementing existing workloads, migrating applications, and moving IT entirely to the cloud.
Understand the core concepts of Cloud Computing. Whether you want to run applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources.
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover:'Introduction to Cloud Computing with Amazon Web Services'.
The document discusses AWSome Day, an AWS event in Oslo. It provides information about prize drawings for attendees. It also discusses the benefits that AWS provides to customers, including agility since AWS infrastructure can be provisioned quickly. It notes AWS has a broad platform with many services that help customers build sophisticated, scalable applications. It also discusses AWS' pace of innovation with over 40 major new services introduced. Finally, it discusses how AWS pricing provides cost savings and flexibility for customers through various pricing models and 49 price reductions.
This document introduces AWS and discusses how it provides a vast technology platform that allows customers to build applications quickly and securely in the cloud. It notes that startups can build businesses from scratch in AWS without legacy dependencies, while enterprises use AWS for new apps and digital transformation. It outlines key AWS services and features like compute, storage, databases and networking and how customers want both broad and deep capabilities. The document also discusses how AWS innovates continuously through new services and features and how its serverless technologies allow building with smaller blocks to develop applications faster and more cost effectively. It emphasizes how AWS prioritizes security through its large security team, visibility into usage and certifications.
The document provides an overview of AWSome Day and why customers use AWS. It discusses how AWS enables agility for customers (#1 reason for moving to AWS), provides a broad and deep platform (#2 reason), allows customers to innovate at scale (#3 reason), and offers cost savings and flexibility (#4 reason). It then gives examples of how different Nordic companies are using AWS for development and testing, new workloads, supplementing existing workloads, migrating applications, data center migration, and moving IT entirely to the cloud.
This document discusses how cloud computing with AWS enables innovation. It highlights how AWS provides scalable infrastructure that allows companies to focus on their core business instead of managing servers. AWS offers a variety of services that help companies get started easily and remove barriers to experimentation. The cloud allows for rapid scaling, real-time analytics, and increased agility that traditional infrastructure cannot match.
The document provides an overview of AWSome Day, an AWS event. It discusses the top reasons customers use AWS, including agility, platform breadth, innovation at scale, and cost savings/flexibility. It then discusses how various organizations in the Nordics are using AWS for development/testing, new workloads, supplementing existing workloads, migrating applications, data center migration, and moving their entire IT to the cloud.
This document discusses how cloud computing with AWS enables innovation. It begins with an introduction to AWS and reasons why companies choose AWS. It then discusses how AWS removes barriers to experimentation by allowing companies to acquire computing resources on demand and pay only for what they use. This empowers companies to iterate quickly, test ideas with minimal risk and cost, and focus on their core business instead of managing infrastructure. The document provides examples of how various companies have used AWS to innovate and become more agile.
This document provides an introduction to cloud computing with Amazon Web Services (AWS). It discusses how AWS has transformed businesses by providing increased agility, enabling experimentation at low cost, and delivering considerable cost savings over traditional infrastructure. The presentation notes AWS offers a broad platform of over 40 services to support any cloud workload globally. It also highlights case studies of how enterprises have used AWS to expand their businesses, scale elastically with demand, and migrate existing applications to the cloud to reduce costs and improve deployment times.
This document provides an overview of Amazon Web Services (AWS) and why customers use AWS. It discusses how AWS enables agility for customers, allows them to avoid undifferentiated heavy lifting of managing infrastructure, provides a broad platform for innovation at scale, and offers cost savings and flexibility through various pricing models. The document then highlights how a variety of Nordic companies are using AWS across different use cases like development and testing, new workloads, supplementing existing workloads and infrastructure, migrating applications, data center migration, and moving entire IT operations to the cloud.
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 APAC Principal Technology Evangelist인 Markku Lepisto가 진행한 강연입니다.
강연 요약: 클라우드 컴퓨팅은 기업들의 IT 서비스 소비와 생산 방식을 빠르게 변화시키고 있습니다. 일반적으로 큰 규모의 기업들은 클라우드 컴퓨팅의 가치를 잘 인식하고 있지만, 자신들의 사업에 적합하게 클라우드 컴퓨팅을 평가하고 도입할 방법에 대해서는 확실히 파악하고 있지 못한 기업들이 많습니다. 이 세션에서는 클라우드 도입의 여러가지 전략과 각 단계에 대해 살펴보도록 하겠습니다.
Understand the core concepts of Cloud Computing. Whether you want to run applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources.
Some thoughts on measuring the impact of developer relationsIan Massingham
The document discusses metrics for measuring the impact of developer relations (DevRel). It recommends focusing on three key areas: generating volume by scaling audiences and channels; nurturing community by expanding developer channels, meeting developers where they are, and finding/nurturing leaders; and driving conversion to paid customers by supporting programs to generate leads, facilitating in-account sessions, and impacting C-levels. Common DevRel metrics include event attendees, webinar viewers, calculated impact scores, community members and activity, and leads generated. The goal is to tweak metrics over time to best measure performance and room for improvement in these important areas.
Slides from my talk at the Leeds IoT Meetup on November 20th. Includes links to resources to help you get started with creating connected device applications with the AWS IoT Service
Getting started with AWS Lambda and the Serverless CloudIan Massingham
Slides from the MongoDB user group meetup talk that I did in March 2017.
https://gist.github.com/ianmas-aws/ce847270ecedf9a58cbcc1ed736cf541
^^ Gist containing (a very simple) code sample is here
AWS AWSome Day - Getting Started Best PracticesIan Massingham
The document outlines eight best practices for getting started with AWS: 1) choose your first use case well, 2) lay out your account structure and foundations, 3) think about security, 4) view AWS as services rather than software, 5) optimize costs, 6) use AWS tools and frameworks, 7) get support, and 8) ensure architectures are well designed. It provides guidance on each practice area, such as setting up billing alerts and consolidated billing, using IAM for access management, leveraging managed services, and following the Well-Architected Framework. Resources for learning more about AWS are also listed.
This document summarizes announcements from AWS re:Invent 2016 related to transforming applications, security, cost optimization, reliability, and operational excellence. Key services discussed include the Well-Architected Framework course, Amazon CloudFormation, AWS OpsWorks for Chef Automate, Amazon EC2 Systems Manager, AWS CodeBuild, AWS X-Ray, AWS Personal Health Dashboard, AWS Shield, Amazon Pinpoint, AWS Glue, AWS Batch, C# support for AWS Lambda, AWS Lambda@Edge, AWS Step Functions, and several others. Many of these services were generally available or in preview at the time.
The document provides an overview of Amazon Web Services (AWS) and its capabilities across compute, storage, database, analytics, artificial intelligence, developer tools, and other services. It highlights the scalability, reliability, and security of the AWS platform and introduces new and expanded capabilities across compute types, databases, analytics, artificial intelligence, edge computing, data transfer, and migration services. It also summarizes AWS' global infrastructure and support offerings.
Getting Started with AWS Lambda & Serverless CloudIan Massingham
This document provides an overview of serverless computing using AWS Lambda. It defines serverless computing as running code without servers by paying only for the compute time consumed. AWS Lambda allows triggering functions from events or APIs which makes it easy to build scalable back-ends, perform data processing, and integrate systems. Recent updates include support for Python, scheduled functions, VPC access, and versioning. The document demonstrates using Lambda for building serverless web apps and microservices.
Building Better IoT Applications without ServersIan Massingham
This document discusses using serverless architectures with AWS services like AWS IoT, Lambda, DynamoDB, and S3 to build IoT applications without having to manage servers. It provides examples of how to connect devices to AWS IoT and trigger AWS Lambda functions in response to device events. These functions can then interact with other AWS services like DynamoDB, S3, and external APIs to implement applications like counting item usage from an IoT button and storing the data in DynamoDB, or starting a device when the button is pressed by invoking an external API via Lambda. The document also provides guidance on setting up a Raspberry Pi with sensors for local IoT development and connecting devices to AWS IoT.
This document provides an introduction and overview of Amazon Web Services (AWS). It discusses that AWS has over 1 million active customers, including startups, enterprises, and independent software vendors. It highlights how AWS allows for agility through quick provisioning, a vast technology platform, and rapid innovation with new features. The document promotes learning more about AWS through blogs, events, training and certification programs. It encourages readers to create an AWS account and try new services.
1. The document discusses Amazon Web Services (AWS) and serverless computing. It highlights how AWS services like AWS Lambda, Amazon S3, and Amazon DynamoDB allow developers to run applications without managing infrastructure.
2. It provides examples of how serverless architectures can be used for web applications, data processing, internet of things applications, and as a connective tissue across AWS environments.
3. The document concludes by demonstrating how to deploy AWS Lambda functions using Terraform to automate infrastructure provisioning and management.
Getting started with AWS IoT on Raspberry PiIan Massingham
This document discusses getting started with AWS IoT using a Raspberry Pi. It provides an agenda that covers what AWS IoT is, why the Raspberry Pi is a good option for IoT prototyping, necessary hardware, setup instructions, examples, and pricing. The speaker will discuss setting up the Raspberry Pi with an electronics kit and sensors, configuring an AWS IoT device, and provide code examples to emulate an AWS IoT button and control a Raspberry Pi Sense Hat via AWS IoT Device Shadow using Python.
GOTO Stockholm - AWS Lambda - Logic in the cloud without a back-endIan Massingham
Slides from my session at Goto Stockholm where I talked about AWS Lambda and how it can be used to build reliable, scalable & low-cost applications, without servers for you to manage.
Special thanks to James Hall at Parallax for allowing me to talk about the awesome application that they built using AWS Lambda, Amazon API Gateway & Amazon DynanmoDB :)
Advanced Security Masterclass - Tel Aviv LoftIan Massingham
The document provides an overview of advanced security best practices when using AWS. It discusses identity and access management with IAM, defining virtual networks with Amazon VPC, networking and security for Amazon EC2 instances, working with container and abstracted services, and encryption and key management in AWS. The presentation emphasizes sharing security responsibility between AWS and customers, implementing least privilege access, enabling auditing and monitoring, and using services like IAM, VPC, security groups, and AWS Key Management Service to help secure workloads in AWS.
This document welcomes the reader to the AWS Loft London and provides information about some cool things to check out at the event space, including demonstrations of AWS services like SAWS and JAWS. It also provides details on staying up-to-date on the latest AWS news through the AWS re:Invent website and invites readers to join them at the Loft to watch re:Invent keynotes, with the space being open through October 29th.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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.
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 .
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.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
5. 2008 2009 2010 2011 2012 2013 2014
Over 1 Million
Active Customers
“Active customer” is defined as a non-Amazon customer with AWS account usage activity in the past month, including the free tier
9. Gartner
“Magic
Quadrant
for
Cloud
Infrastructure
as
a
Service,”
Lydia
Leong,
Douglas
Toombs,
Bob
Gill,
Gregor
Petri,
Tiny
Haynes,
May
28,
2014.
This
Magic
Quadrant
graphic
was
published
by
Gartner,
Inc.
as
part
of
a
larger
research
note
and
should
be
evaluated
in
the
context
of
the
enMre
report.
The
Gartner
report
is
available
at
hNp://aws.amazon.com/resources/analyst-‐
reports/.
Gartner
does
not
endorse
any
vendor,
product
or
service
depicted
in
its
research
publicaMons,
and
does
not
advise
technology
users
to
select
only
those
vendors
with
the
highest
raMngs.
Gartner
research
publicaMons
consist
of
the
opinions
of
Gartner's
research
organizaMon
and
should
not
be
construed
as
statements
of
fact.
Gartner
disclaims
all
warranMes,
expressed
or
implied,
with
respect
to
this
research,
including
any
warranMes
of
merchantability
or
fitness
for
a
parMcular
purpose.
Gartner Magic Quadrant
Cloud Infrastructure as a Service
18. In The Old Days…
Spend millions for expensive, inflexible,
slow-moving infrastructure that is
#FrozenInTime
19. Old World
Large upfront capital investment
Basic compute and storage only
Responsible for feature upgrades
Slow to get new capabilities
Low, variable cost
Broad and deep platform
New features arrive daily
Ready to use
20. Enterprises Are Using The Cloud For
New Apps & Digital Transformation
StatCast App platform Healthcare E-commerce
Digital Personal Finance Web Digital content
24. More Functionality Than Any Other
Infrastructure Provider
Enterprise Applications
Administration & Security
Core Services
Platform Services
Infrastructure
AWS Marketplace
25. 2008 2009 2010 2011 2012 2013 2014
516
280
159
82
6148
24
AWS Rapid Pace Of Innovation
516 major new features and services launched in 2014
27. For Example, Consider Compute…
m1.small General Purpose (M3)
Compute Optimized (C4)
Memory Optimized (R3)
GPU Optimized (G2)
Storage Optimized (D2)
IO Optimized (I2)
Low cost, burst-able performance (T2)
New
28. Building With Smaller Blocks
Quicker to build Lower costEasier to adapt and update
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29. Containers, the Cloud & Application Architecture
Application
portability
Environment
fidelity
Continuous
deployment
High availability
& scale
30. Amazon EC2 Container Service
Launch and terminate
Docker containers
Across a cluster
of EC2 instances
Mount persistent
volumes at launch
Private Docker
repositories
34. us-west-2
ELB
ELB
Bidders
Ad Servers
us-east-1
ELB
ELB
Bidders
Ad Servers
eu-west-1
ELB
ELB
Bidders
Ad Servers
ap-southeast-1
ELB
ELB
Bidders
Ad Servers
ap-northeast-1
ELB
ELB
Bidders
Ad Servers
Kinesis
S3
60B Events/
Day
600k Files/
Day
SQS
SQS
SQS
SQS
Machine
Learning
Analytics
Dynamic
Creatives
Profiles
DynamoDB
us-west-2
DynamoDB
us-east-1
DynamoDB
eu-west-1
DynamoDB
ap-southeast-1
DynamoDB
ap-northeast-1
35. Cloud
functions in
Java
NewNew
Call Cloud
Functions Directly
!
Integration with
Amazon Cognito
New
Amazon SNS
triggers
New
AWS Mobile
SDK support
New
New AWS Lambda Functionality For
Mobile Developers
Now Generally Available + New Features
42. AWS Self-Paced Labs
Gain practical, hands-on experience working with technology
in a practice environment
Explore and experiment with new products
Acquire new and practical skills in a convenient, flexible, and
consumable format
More than 50 AWS self-paced labs are available ranging from
introductory to advanced topics
aws.amazon.com/training/self-paced-labs