The document provides guidance on cloud architecture best practices for architects. It discusses 7 key lessons: 1) design for failure and nothing fails, 2) loose coupling sets you free, 3) implement elasticity, 4) build security in every layer, 5) don't fear constraints, 6) think parallel, and 7) leverage many storage options. The document uses examples of moving a web architecture to AWS to illustrate applying these lessons around scalability, availability and resilience.
The document discusses migrating applications to Infrastructure as a Service (IaaS) clouds. It provides guidance on identifying candidate applications for migration based on varying resource needs. It also covers choosing an appropriate IaaS provider based on features, developing a migration strategy including rearchitecting applications for scalability, and presents a case study of migrating a social commerce platform to the cloud.
The document summarizes CloudStack architecture plans for the future. It discusses moving to management server clusters per availability zone rather than per region. It also discusses using an object storage system for templates and snapshots rather than a separate NFS server. Finally, it discusses a possible future model where CloudStack manages existing virtualization clusters rather than deploying and managing its own system VMs.
According to Gartner, big data will drive $232 billion in IT spending through 2016. The benefits to organizations for adding big data to their information management and analytics infrastructure will force a more rapid cycle of replacing existing solutions.
Learn more about:
• Provisioning a Data-intensive Application Cluster (Hadoop or Spark) on top of OpenStack.
• Building an Architecture combining the Hadoop and OpenStack Ecosystems.
• Build OpenStack Cloud and implement Big Data Architectures with comparative benefits of other Architectures.
Three key points about the document:
1) It provides an overview of public cloud providers like Amazon Web Services (AWS), describing some of its core services like EC2, S3, and EBS.
2) It also discusses private cloud platforms like OpenStack and key concepts in private clouds around virtual machines, images, provisioning, auditing and monitoring.
3) The document outlines some of the core components of OpenStack including Compute, Storage, Image Service, Dashboard and Identity Management and how they help manage instances, storage and user access in a private cloud.
ARC205 Building Web-scale Applications Architectures with AWS - AWS re: Inven...Amazon Web Services
As both new and established businesses work to increase their customer numbers, revenue and relevance to the market – they are working to deliver software that scales larger than ever before. The challenge of being the "victim of your own success" be it from viral marketing, social media or simply dramatic uptake of a new service; is something that troubles the minds of CIOs and Engineers alike. This session will focus on ways to avoid creating "technical debt" during initial development, and will share well established practices and approaches to building applications that can tolerate and revel in the challenges of scaling to "web scale". Working through a range of architectural dimensions, patterns and pithy examples – attendees will leave this session with useful ideas on how to design new applications, as well as the "retro-fitting" that can be done to existing applications to enable them to scale on AWS.
Cloud Storage Transformation – Keynote - AWS Cloud Storage for the Enterprise...Amazon Web Services
1) The document discusses transforming storage strategies using AWS services like Amazon S3, which provides scalable cloud storage.
2) It provides examples of using Amazon S3 for backup of Oracle databases and as a replacement for on-premises storage solutions like SAN, NAS, tape backup, and secondary data centers.
3) The benefits of AWS storage include significant cost reduction, reduced complexity, streamlined operations, increased innovation, and unlimited scalable capacity.
This document discusses 5 patterns for building high performance web applications on AWS:
1. Decoupling application components to improve scalability and manageability.
2. Scaling out horizontally by adding more instances to handle increased load.
3. Optimizing for cost by using reserved instances, spot instances, and autoscaling.
4. Calibrating resources for CPU or I/O performance based on application needs.
5. Automating operations to reduce manual work and enable dynamic scaling.
The document discusses migrating applications to Infrastructure as a Service (IaaS) clouds. It provides guidance on identifying candidate applications for migration based on varying resource needs. It also covers choosing an appropriate IaaS provider based on features, developing a migration strategy including rearchitecting applications for scalability, and presents a case study of migrating a social commerce platform to the cloud.
The document summarizes CloudStack architecture plans for the future. It discusses moving to management server clusters per availability zone rather than per region. It also discusses using an object storage system for templates and snapshots rather than a separate NFS server. Finally, it discusses a possible future model where CloudStack manages existing virtualization clusters rather than deploying and managing its own system VMs.
According to Gartner, big data will drive $232 billion in IT spending through 2016. The benefits to organizations for adding big data to their information management and analytics infrastructure will force a more rapid cycle of replacing existing solutions.
Learn more about:
• Provisioning a Data-intensive Application Cluster (Hadoop or Spark) on top of OpenStack.
• Building an Architecture combining the Hadoop and OpenStack Ecosystems.
• Build OpenStack Cloud and implement Big Data Architectures with comparative benefits of other Architectures.
Three key points about the document:
1) It provides an overview of public cloud providers like Amazon Web Services (AWS), describing some of its core services like EC2, S3, and EBS.
2) It also discusses private cloud platforms like OpenStack and key concepts in private clouds around virtual machines, images, provisioning, auditing and monitoring.
3) The document outlines some of the core components of OpenStack including Compute, Storage, Image Service, Dashboard and Identity Management and how they help manage instances, storage and user access in a private cloud.
ARC205 Building Web-scale Applications Architectures with AWS - AWS re: Inven...Amazon Web Services
As both new and established businesses work to increase their customer numbers, revenue and relevance to the market – they are working to deliver software that scales larger than ever before. The challenge of being the "victim of your own success" be it from viral marketing, social media or simply dramatic uptake of a new service; is something that troubles the minds of CIOs and Engineers alike. This session will focus on ways to avoid creating "technical debt" during initial development, and will share well established practices and approaches to building applications that can tolerate and revel in the challenges of scaling to "web scale". Working through a range of architectural dimensions, patterns and pithy examples – attendees will leave this session with useful ideas on how to design new applications, as well as the "retro-fitting" that can be done to existing applications to enable them to scale on AWS.
Cloud Storage Transformation – Keynote - AWS Cloud Storage for the Enterprise...Amazon Web Services
1) The document discusses transforming storage strategies using AWS services like Amazon S3, which provides scalable cloud storage.
2) It provides examples of using Amazon S3 for backup of Oracle databases and as a replacement for on-premises storage solutions like SAN, NAS, tape backup, and secondary data centers.
3) The benefits of AWS storage include significant cost reduction, reduced complexity, streamlined operations, increased innovation, and unlimited scalable capacity.
This document discusses 5 patterns for building high performance web applications on AWS:
1. Decoupling application components to improve scalability and manageability.
2. Scaling out horizontally by adding more instances to handle increased load.
3. Optimizing for cost by using reserved instances, spot instances, and autoscaling.
4. Calibrating resources for CPU or I/O performance based on application needs.
5. Automating operations to reduce manual work and enable dynamic scaling.
AWS Webcast - Introduction to Amazon RDS: Low Admin, High Performance Databas...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
In this webinar we review how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. And finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
This document provides an overview of architecting applications for the AWS cloud. It discusses key AWS cloud computing attributes like scalability, on-demand provisioning, and efficiency of experts. It also outlines best practices like designing for failure, loose coupling, dynamism, and security. Specific AWS services are mapped to common application needs like compute, storage, content delivery, databases, and more. Overall the document aims to educate readers on how to leverage AWS architectural principles and services.
Why Virtualization is important by Tom Phelan of BlueDataData Con LA
This presentation will investigate the advantages and disadvantage of running an n-node Hadoop cluster in each of the following environments:
• Bare metal
• Private cloud using a traditional virtual machine environment
• Private cloud using a containerized virtual environment
Tom will follow this with a discussion of real Hadoop Use Cases and how each would, or would not, be suitable for running in each environment.
The document discusses various AWS database options and decision factors for choosing between SQL and NoSQL databases on AWS. It provides tips for three companies - Edmodo optimizes for manageability and scale using RDS, Obama for America optimizes for app velocity and scale, and BrandVerity leverages both YesSQL and NoSQL databases. The document also discusses factors to consider such as application needs, transactions, scale, performance, availability, and skills when choosing between SQL and NoSQL databases.
Up 2012 dave jilk - multi-tenancy in paa s (distribution version)Khazret Sapenov
The document discusses different models of platform as a service (PaaS), specifically comparing server PaaS which utilizes virtual machines versus resource PaaS which utilizes shared containers. It analyzes aspects such as multi-tenancy, scalability, configurability, and architecture between the two approaches. Overall, the document evaluates tradeoffs between server PaaS which offers more control and standardization versus resource PaaS which enables faster scaling and a more flexible technology stack.
Architectures for open and scalable cloudsRandy Bias
My presentation for 2012's Cloud Connect that goes over architectural and design patterns for open and scalable clouds. Technical deck targeted at business audiences with a technical bent.
Simplified and Efficient Cloud Disaster Recovery and Cloud Data Protection (S...Amazon Web Services
Businesses range across cloud maturities, from their first foray into cloud to having built elastic and business-driven hybrid cloud. In many organizations, there is tension between the cloud and on-prem IT teams. The on-prem team wants governance, control and reporting and the cloud team wants data mobility, cost control, and little to no impact to current processes. This session covers how Dell EMC is able to address both sets of requirements and allow you to build a safe, compliant and agile platform to support your cloud workloads.
The document discusses various considerations for deploying applications and solutions using Microsoft Azure Virtual Machines (VMs). It covers VM sizing configurations including CPU, memory, storage, and I/O capabilities for different VM series. It also discusses deployment strategies like availability sets and resource groups. Other topics include networking, security, costs, limits, and best practices.
Disaster Recovery with AWS - Simone Brunozzi - AWS Summit 2012 Australia - Amazon Web Services
Simone Brunozzi gave a presentation on implementing disaster recovery strategies using AWS cloud services. He discussed how AWS can be used to backup and restore data, maintain a pilot light architecture where core systems are replicated in AWS, and implement warm standby or multi-site solutions. Key benefits of AWS for DR include reduced infrastructure costs, ability to easily scale resources, pay only for what is used, and high security. Common architectures patterns like backup/restore, pilot light, warm standby and multi-site solutions were covered along with relevant AWS services.
The document discusses securing databases in the cloud. It provides an overview of database types, cloud database solutions, vulnerabilities, and how to secure relational and non-relational cloud databases. It also discusses privacy and a case study of implementing MySQL and SimpleDB in the cloud for a healthcare provider.
2011 State of the Cloud: A Year's Worth of Innovation in 30 Minutes - Jinesh...Amazon Web Services
A Year's Worth of Innovation in 30 Minutes -
In this Keynote talk, Jinesh Varia discuss all the new features and services that AWS released in 2011 and discusses AWS growth and innovation along with customers and partners.
The speaker notes contain the links to the blog posts of announcements.
Planning the Migration to the Cloud - AWS India Summit 2012Amazon Web Services
The document provides guidance on planning a migration to the cloud in a phased approach. It recommends beginning with "no-brainer" applications that are easy to migrate. It also suggests conducting assessments of technical requirements, security, compliance and costs. The document outlines strategies for migrating databases and other assets in batches. It emphasizes automating processes, leveraging services like S3 and RDS, and improving availability across availability zones.
AWS Webcast - Amazon RDS - Running Low Admin High Performance Databases in th...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and re-sizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
OpenStack is an open source cloud operating system that controls pools of compute, storage, and networking resources throughout a datacenter, managed through APIs, dashboards, and command-line tools. It includes several core projects like Nova for compute resources, Swift for object storage, and Glance for images. OpenStack is developed as open source by an international community of over 1,600 individuals from over 100 companies and is used in production private and public clouds by companies in industries like financial services, e-commerce, and more.
The document outlines an agenda for a CloudStack developer day, including presentations on what CloudStack is, its deployment architecture, networking features, software architecture, integration capabilities, and how to contribute to the Apache CloudStack community. The key topics will be an introduction to CloudStack, an overview of its basics and deployment architecture including networking, a discussion of its current and future software architecture, and sessions on UI customization, the API, and how to get involved in the Apache CloudStack project.
This document contains the resume of Suman Chandra Jha, who has 12 years of experience as a Senior IT Infrastructure Solution Architect and Freelancer. He has various certifications in cloud computing from Amazon, Microsoft, and VMware, as well as certifications in data center design. He currently works as a Senior IT Infrastructure Solution Architect for the UAE Government and also works as a freelancer providing corporate training on Amazon and Microsoft certification courses.
Build clouds the way some of the world’s biggest public and private clouds are built—using CloudStack. This 60-minute webinar with the Cloudstack team will help you gain a better understanding of the CloudStack architecture and feature set.
The document discusses Microsoft Azure storage solutions and services, highlighting key capabilities like Azure Files for file shares, Premium Storage for high performance workloads, and integration with hybrid solutions like StorSimple. It also provides an overview of Azure Storage APIs and compares Azure storage features to competitive offerings from AWS. The document is aimed at helping customers understand how Azure storage can meet their needs for scalability, reliability, security and hybrid cloud capabilities.
Architecting for End-to-End Security in the Enterprise (ARC308) | AWS re:Inve...Amazon Web Services
This session tells the story of how security-minded enterprises provide end-to-end protection of their sensitive data in AWS. Learn about the enterprise security architecture decisions made by Fortune 500 organizations during actual sensitive workload deployments as told by the AWS professional service security, risk, and compliance team members who lived them. In this technical walkthrough, we share lessons learned from the development of enterprise security strategy, security use-case development, end-to-end security architecture & service composition, security configuration decisions, and the creation of AWS security operations playbooks to support the architecture.
AWS Re:Invent - High Availability Architecture at NetflixAdrian Cockcroft
Slides from my talk at AWS Re:Invent November 2012. Describes the architecture, how to make highly available application code and data stores, a taxonomy of failure modes, and actual failures and effects. Ends with a summary of @NetflixOSS projects so others can easily leverage this architecture.
AWS Webcast - Introduction to Amazon RDS: Low Admin, High Performance Databas...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
In this webinar we review how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. And finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
This document provides an overview of architecting applications for the AWS cloud. It discusses key AWS cloud computing attributes like scalability, on-demand provisioning, and efficiency of experts. It also outlines best practices like designing for failure, loose coupling, dynamism, and security. Specific AWS services are mapped to common application needs like compute, storage, content delivery, databases, and more. Overall the document aims to educate readers on how to leverage AWS architectural principles and services.
Why Virtualization is important by Tom Phelan of BlueDataData Con LA
This presentation will investigate the advantages and disadvantage of running an n-node Hadoop cluster in each of the following environments:
• Bare metal
• Private cloud using a traditional virtual machine environment
• Private cloud using a containerized virtual environment
Tom will follow this with a discussion of real Hadoop Use Cases and how each would, or would not, be suitable for running in each environment.
The document discusses various AWS database options and decision factors for choosing between SQL and NoSQL databases on AWS. It provides tips for three companies - Edmodo optimizes for manageability and scale using RDS, Obama for America optimizes for app velocity and scale, and BrandVerity leverages both YesSQL and NoSQL databases. The document also discusses factors to consider such as application needs, transactions, scale, performance, availability, and skills when choosing between SQL and NoSQL databases.
Up 2012 dave jilk - multi-tenancy in paa s (distribution version)Khazret Sapenov
The document discusses different models of platform as a service (PaaS), specifically comparing server PaaS which utilizes virtual machines versus resource PaaS which utilizes shared containers. It analyzes aspects such as multi-tenancy, scalability, configurability, and architecture between the two approaches. Overall, the document evaluates tradeoffs between server PaaS which offers more control and standardization versus resource PaaS which enables faster scaling and a more flexible technology stack.
Architectures for open and scalable cloudsRandy Bias
My presentation for 2012's Cloud Connect that goes over architectural and design patterns for open and scalable clouds. Technical deck targeted at business audiences with a technical bent.
Simplified and Efficient Cloud Disaster Recovery and Cloud Data Protection (S...Amazon Web Services
Businesses range across cloud maturities, from their first foray into cloud to having built elastic and business-driven hybrid cloud. In many organizations, there is tension between the cloud and on-prem IT teams. The on-prem team wants governance, control and reporting and the cloud team wants data mobility, cost control, and little to no impact to current processes. This session covers how Dell EMC is able to address both sets of requirements and allow you to build a safe, compliant and agile platform to support your cloud workloads.
The document discusses various considerations for deploying applications and solutions using Microsoft Azure Virtual Machines (VMs). It covers VM sizing configurations including CPU, memory, storage, and I/O capabilities for different VM series. It also discusses deployment strategies like availability sets and resource groups. Other topics include networking, security, costs, limits, and best practices.
Disaster Recovery with AWS - Simone Brunozzi - AWS Summit 2012 Australia - Amazon Web Services
Simone Brunozzi gave a presentation on implementing disaster recovery strategies using AWS cloud services. He discussed how AWS can be used to backup and restore data, maintain a pilot light architecture where core systems are replicated in AWS, and implement warm standby or multi-site solutions. Key benefits of AWS for DR include reduced infrastructure costs, ability to easily scale resources, pay only for what is used, and high security. Common architectures patterns like backup/restore, pilot light, warm standby and multi-site solutions were covered along with relevant AWS services.
The document discusses securing databases in the cloud. It provides an overview of database types, cloud database solutions, vulnerabilities, and how to secure relational and non-relational cloud databases. It also discusses privacy and a case study of implementing MySQL and SimpleDB in the cloud for a healthcare provider.
2011 State of the Cloud: A Year's Worth of Innovation in 30 Minutes - Jinesh...Amazon Web Services
A Year's Worth of Innovation in 30 Minutes -
In this Keynote talk, Jinesh Varia discuss all the new features and services that AWS released in 2011 and discusses AWS growth and innovation along with customers and partners.
The speaker notes contain the links to the blog posts of announcements.
Planning the Migration to the Cloud - AWS India Summit 2012Amazon Web Services
The document provides guidance on planning a migration to the cloud in a phased approach. It recommends beginning with "no-brainer" applications that are easy to migrate. It also suggests conducting assessments of technical requirements, security, compliance and costs. The document outlines strategies for migrating databases and other assets in batches. It emphasizes automating processes, leveraging services like S3 and RDS, and improving availability across availability zones.
AWS Webcast - Amazon RDS - Running Low Admin High Performance Databases in th...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and re-sizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
OpenStack is an open source cloud operating system that controls pools of compute, storage, and networking resources throughout a datacenter, managed through APIs, dashboards, and command-line tools. It includes several core projects like Nova for compute resources, Swift for object storage, and Glance for images. OpenStack is developed as open source by an international community of over 1,600 individuals from over 100 companies and is used in production private and public clouds by companies in industries like financial services, e-commerce, and more.
The document outlines an agenda for a CloudStack developer day, including presentations on what CloudStack is, its deployment architecture, networking features, software architecture, integration capabilities, and how to contribute to the Apache CloudStack community. The key topics will be an introduction to CloudStack, an overview of its basics and deployment architecture including networking, a discussion of its current and future software architecture, and sessions on UI customization, the API, and how to get involved in the Apache CloudStack project.
This document contains the resume of Suman Chandra Jha, who has 12 years of experience as a Senior IT Infrastructure Solution Architect and Freelancer. He has various certifications in cloud computing from Amazon, Microsoft, and VMware, as well as certifications in data center design. He currently works as a Senior IT Infrastructure Solution Architect for the UAE Government and also works as a freelancer providing corporate training on Amazon and Microsoft certification courses.
Build clouds the way some of the world’s biggest public and private clouds are built—using CloudStack. This 60-minute webinar with the Cloudstack team will help you gain a better understanding of the CloudStack architecture and feature set.
The document discusses Microsoft Azure storage solutions and services, highlighting key capabilities like Azure Files for file shares, Premium Storage for high performance workloads, and integration with hybrid solutions like StorSimple. It also provides an overview of Azure Storage APIs and compares Azure storage features to competitive offerings from AWS. The document is aimed at helping customers understand how Azure storage can meet their needs for scalability, reliability, security and hybrid cloud capabilities.
Architecting for End-to-End Security in the Enterprise (ARC308) | AWS re:Inve...Amazon Web Services
This session tells the story of how security-minded enterprises provide end-to-end protection of their sensitive data in AWS. Learn about the enterprise security architecture decisions made by Fortune 500 organizations during actual sensitive workload deployments as told by the AWS professional service security, risk, and compliance team members who lived them. In this technical walkthrough, we share lessons learned from the development of enterprise security strategy, security use-case development, end-to-end security architecture & service composition, security configuration decisions, and the creation of AWS security operations playbooks to support the architecture.
AWS Re:Invent - High Availability Architecture at NetflixAdrian Cockcroft
Slides from my talk at AWS Re:Invent November 2012. Describes the architecture, how to make highly available application code and data stores, a taxonomy of failure modes, and actual failures and effects. Ends with a summary of @NetflixOSS projects so others can easily leverage this architecture.
Selecting the Best VPC Network Architecture (CPN208) | AWS re:Invent 2013Amazon Web Services
Which is better: a single VPC with multiple subnets or multiple accounts with many VPCs? Should you simplify management with a single VPC or use multiple VPCs to lessen the blast radius of network changes? In this session, we hear from customers who've implemented each approach and discuss how they addressed management, security, and connectivity for their Amazon EC2 environments.
Este documento presenta diferentes opciones de redes virtuales en AWS como EC2-Classic, VPC predeterminado y VPC, y describe cómo implementar conectividades privadas y públicas entre una VPC y un centro de datos corporativo local utilizando VPN y AWS Direct Connect. También cubre temas como interconexión de VPC, redes mejoradas y la solución Level 3 Cloud Connect para conectividad a AWS.
Elastic storage and compute services provide a firm foundation on which to build systems to drive value from data.
This presentation discuss how to run analytics pipelines on the AWS Cloud, from data storage with S3 and DynamoDB, to high scale computation with Elastic MapReduce and Cluster Compute instances on EC2.
The AWS cloud infrastructure has been architected to be one of the most flexible and secure cloud computing environments available today. In this session, we’ll provide a practical understanding of the assurance programs that AWS provides; such as HIPAA, FedRAMP(SM), PCI DSS Level 1, MPAA, and many others. We’ll also address the types of business solutions that these certifications enable you to deploy on the AWS Cloud, as well as the tools and services AWS makes available to customers to secure and manage their resources.
Next Generation of Storage Sydney Customer Appreciation DayAmazon Web Services
Next Generation Enterprise Cloud Storage
The document discusses cloud storage solutions from AWS for common enterprise data storage challenges. It introduces Amazon S3 cloud storage service, Glacier archive storage, and Storage Gateway for hybrid storage. These services offer scalable, secure, inexpensive cloud storage that eliminates the need for on-premise storage hardware and management.
Health Solutions at the Edge: Mobile and IoT for Life Sciences | AWS Public S...Amazon Web Services
This public health–focused session explores the innovative IoT and mobile solutions in medical and life sciences and the public health arena. Delivering on this innovation requires the ability to collect, store, analyze, and cross-reference data. Attend this session to hear from organizations committed to take action and deliver results for their patients.
AWS Summit Auckland 2014 | Moving to the Cloud. What does it Mean to your Bus...Amazon Web Services
AWS launched in 2006, and since then we have released more than 530 services, features, and major announcements. Every year, we outpace the previous year in launches and are continuously accelerating the pace of innovation across the organization. Ever wonder how we formulate customer-centric ideas, turn them into features and services, and get them to market quickly? This session dives deep into how an idea becomes a service at AWS and how we continue to evolve the service after release through innovation at every level. We even spill the beans on how we manage operational excellence across our services to ensure the highest possible availability. Come learn about the rapid pace of innovation at AWS, and the culture that formulates magic behind the scenes.
Best Practices in Architecting for the Cloud Webinar - Jinesh VariaAmazon Web Services
This deck discusses general best practices of architecting applications in the cloud. It was used in May 2011 Architecture Center webinars. For more information, read the whitepaper available at http://bit.ly/aws-best-practices
The document introduces the Federal Register 2.0, a new XML-based web edition of the daily Federal Register. It builds on existing digital systems like FDsys and uses structured XML data to create an improved online experience organized like a web newspaper. Key features include news sections on broad topics, agency home pages, clean layouts, crowdsourced content, and tools for public participation like commenting directly from relevant documents. The goal is to make the Federal Register more open, useful and engaging for 21st century rulemaking.
Justin.tv was an early live video streaming platform that grew rapidly after launching in 2007, reaching 300 broadcasters and 6 million monthly page views within a few months. As traffic increased, the engineering team encountered challenges scaling their initial architectures to support thousands of concurrent streams. They eventually found success using Amazon Web Services, which allowed them to scale elastically and reliably support over 1,000 broadcasters streaming to 100,000 concurrent viewers at lower cost compared to traditional hosting options.
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
This document provides an agenda and overview for an AWS Security Day event. The agenda includes sessions on topics like the AWS shared security responsibility model, IAM best practices, encryption options, logging and alerting, account separation, and new services. It also includes an introduction and overview of AWS by an evangelist, highlighting growth in customers, the vast technology platform, pace of innovation, and computing services like Lambda.
This presentation provides practical guidance using external agent-based measurements and real user monitoring techniques. We review common content delivery network (CDN) architectures and how they relate to performance measurement. Finally, we walk through real-world CDN performance monitoring implementations used by MapBox, Amazon.com, and Amazon CloudFront.
Join AWS at this session to understand how to architect an infrastructure to handle going from zero to millions of users. From leveraging highly scalable AWS services to making smart decisions on building out your application, you'll learn a number of best practices for scaling your infrastructure in the cloud.
Speakers:
Andreas Chatzakis, AWS Solutions Architect
Pete Mounce, Senior Developer, JustEat
AWS Compute Services State of the Union (CPN202) | AWS re:Invent 2013Amazon Web Services
In this session, Peter De Santis, VP of Compute Services will provide an overview of the key priorities for Amazon Elastic Compute Cloud (Amazon EC2). In this session, you will hear about some of the most innovative ways in which customers are using Amazon EC2, learn more about key capabilities launched over the past year, and gain insights into the near term roadmap and priorities.
AWS Sydney Summit 2013 - Building Web Scale Applications with AWSAmazon Web Services
This document discusses strategies for building applications that can scale on AWS. It recommends architecting for loose coupling between components to allow independent scaling. Using services like SQS as buffers between components decouples them. Auto scaling helps applications automatically scale compute resources up and down based on demand. Elastic Load Balancing distributes traffic across multiple instances. Session state should reside outside of scaled components, in a performant and scalable data store like DynamoDB. Data tier scaling may involve strategies like sharding or using managed databases like DynamoDB or Redshift that scale horizontally. AWS services like ELB, Auto Scaling, SQS, and databases help applications achieve web-scale.
This document provides a summary of new and updated services from Amazon Web Services. Some key points include:
- AWS IoT now integrates with Elasticsearch Service and CloudWatch via rules engine.
- Amazon EMR 4.4.0 was released with new features.
- New Amazon S3 lifecycle policies allow for automatic archiving and deletion of objects.
- Amazon Inspector is now generally available for assessing applications for vulnerabilities.
- Two new low-cost storage options were introduced for Amazon EBS.
- Amazon Kinesis Firehose now allows ingesting data into Elasticsearch domains.
AWS Webcast - Best Practices in Architecting for the CloudAmazon Web Services
Join us to get a better understanding around architecting scalable, reliable applications for the cloud. You'll learn about monitoring, alarming, automatic scaling, load balancing, replication, and more, direct from AWS Senior Evangelist Jeff Barr.
NWCloud Cloud Track - Best Practices for Architecting in the Cloudnwcloud
The document discusses best practices for cloud architecture based on lessons learned from Amazon Web Services customers. It provides guidance on designing systems for failure, loose coupling, elasticity, security, leveraging constraints, parallelism, and different storage options. The key lessons are applied to migrating a sample web application architecture to AWS.
This document provides best practices for architecting applications in the cloud based on Amazon Web Services (AWS). It discusses 6 key practices: 1) Design for failure and nothing fails, 2) Build loosely coupled systems, 3) Implement elasticity, 4) Build security into every layer, 5) Think parallel, and 6) Leverage many storage options. Specific AWS services are recommended to implement each practice, such as using auto-scaling, SQS queues, and different storage services like S3, EBS, and RDS depending on data needs. The document aims to help architects take advantage of scalability, fault-tolerance, and other cloud attributes when building applications on AWS.
This document provides an overview of why enterprises choose AWS and best practices for migrating applications to AWS. It discusses AWS design principles like designing for failure and implementing elasticity. It also covers topics like calculating total cost of ownership, customer migration lessons learned, and next steps to optimize applications in AWS.
This document provides an overview of cloud computing and Microsoft Azure. It discusses how cloud computing allows for rapid setup of environments, elastic scaling, and reduced costs. It introduces key concepts of cloud computing like virtualization, automation, and pay-per-use pricing models. The document discusses how the cloud handles infrastructure management, providing resources and services on-demand. It outlines the architecture of cloud applications including load balancing, high availability, and multi-tenancy. Finally, it summarizes different Azure services like compute, storage, databases, and PaaS offerings and how they fit on the continuum from infrastructure to platform services.
Amazon Web Services (AWS) began offering IT infrastructure services to businesses in the form of web services -- now commonly known as cloud computing. One of the key benefits of cloud computing is the opportunity to replace up-front capital infrastructure expenses with low variable costs that scale with your business. With the Cloud, businesses no longer need to plan for and procure servers and other IT infrastructure weeks or months in advance. Instead, they can instantly spin up hundreds or thousands of servers in minutes and deliver results faster.
Architecting Enterprise Applications in the Cloud presentation by Matt Tavis, AWS Solutions Architect, and the Cloud for the Enterprise Event in NY on October 19, 2009
This document provides best practices for startups using AWS. It recommends taking an MVP approach, focusing on core features and offloading non-differentiating tasks to AWS services. It also emphasizes loose coupling between services using techniques like message queues, idempotent interfaces, and circuit breakers to enable scalability and resiliency. Finally, it discusses automating infrastructure provisioning and management using tools like AWS CloudFormation, OpsWorks and Elastic Beanstalk.
This document provides an overview of migrating applications and workloads to AWS. It discusses key considerations for different migration approaches including "forklift", "embrace", and "optimize". It also covers important AWS services and best practices for architecture design, high availability, disaster recovery, security, storage, databases, auto-scaling, and cost optimization. Real-world customer examples of migration lessons and benefits are also presented.
The document discusses cloud computing and designing applications for scalability and availability in the cloud. It covers key considerations for moving to the cloud like design for failure, building loosely coupled systems, implementing elasticity, and leveraging different storage options. It also discusses challenges like application scalability and availability and how to address them through patterns like caching, partitioning, and implementing elasticity. The document uses examples like MapReduce to illustrate how to build applications that can scale horizontally across infrastructure in the cloud.
This document provides an overview of architecting applications for the Amazon Web Services (AWS) cloud platform. It discusses key cloud computing attributes like abstract resources, on-demand provisioning, scalability, and lack of upfront costs. It then describes various AWS services for compute, storage, messaging, payments, distribution, analytics and more. It provides examples of how to design applications to be scalable and fault-tolerant on AWS. Finally, it discusses best practices for migrating existing web applications to take advantage of AWS capabilities.
AWS Architecting Cloud Apps - Best Practices and Design Patterns By Jinesh VariaAmazon Web Services
Jinesh Varia, Technology Evangelist, Discusses AWS architecture best practices and design patterns at the AWS Enterprise Tour - SF - 2010
http://jineshvaria.s3.amazonaws.com/public/cloudbestpractices-jvaria.pdf
During the “Architecting for the Cloud” breakfast seminar where we discussed the requirements of modern cloud-based applications and how to overcome the confinement of traditional on-premises infrastructure.
We heard from data management practitioners and cloud strategists from Amazon Web Services and NuoDB about how organizations are meeting the challenges associated with building new or migrating existing applications to the cloud.
Finally, we discussed how the right cloud-based architecture can:
- Handle rapid user growth by adding new servers on demand
- Provide high performance even in the face of heavy application usage
- Offer around-the-clock resiliency and uptime
- Provide easy and fast access across multiple geographies
- Deliver cloud-enabled apps in public, private, or hybrid cloud environments
Cloudian uses Cassandra as its data store for object metadata, user and account information, reports and logs. Cassandra provides scalability, reliability and high performance needed for Cloudian's software-defined object storage system. Cloudian has customized Cassandra to further improve performance and capacity utilization. Cassandra allows Cloudian to easily add or remove nodes and data centers without downtime.
Relational Databases Redefined on AWS
- Amazon RDS is a fully managed relational database service that allows customers to focus on their applications instead of managing databases.
- It offers choices of database engines like MySQL, Oracle, and SQL Server with options for different editions and versions. Deploying a database with RDS takes just a few clicks.
- RDS handles common administrative tasks automatically like provisioning, backups, patching, and performance management, requiring near zero administration. It provides high availability, security, and scalability.
The document discusses Netflix's cloud architecture on Amazon Web Services (AWS). It aims to be faster, scalable, available and allow developers to work more productively. Some key points are moving from a central SQL database to distributed NoSQL stores, replacing sticky in-memory sessions with a shared cache, and optimizing for latency tolerance over chatty protocols. The architecture also focuses on layered service interfaces over tangled code and instrumenting services rather than code.
This document provides a high-level summary of 5 key cloud computing concepts:
1) Signing up for AWS and using the free tier for new customers.
2) Interacting with AWS using APIs, CLIs, SDKs and the management console.
3) Storage options on AWS including ephemeral storage, EBS, and S3.
4) Payment options including pay-as-you-go, reserved instances, and spot instances.
5) Availability zones and how resources are isolated across zones.
The document discusses architectural patterns and best practices for building scalable and resilient applications on Amazon Web Services (AWS). It provides examples of how to design for failure, implement loose coupling between components, and build elasticity into applications using AWS services like Auto Scaling, Elastic Load Balancing, and Amazon EC2. The document also outlines three approaches for creating standardized technology stacks and managed development environments on AWS.
Similar to AWS Summit 2011: Architecting in the cloud (20)
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.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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.
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!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
1. Matt Tavis Principal Solutions Architect
Architecting
in the Cloud
2. Cloud Best Practices Whitepaper
Prescriptive guidance to Cloud Architects
Just Search for “Cloud Best
Practices” to find the link
http://media.amazonwebservices.co
m/AWS_Cloud_Best_Practices.pdf
3. Cloud Computing Attributes
What makes the Cloud so attractive
Abstract Focus on your needs, not on hardware specs. As your
Resources needs change, so should your resources.
On-Demand Ask for what you need, exactly when you need it. Get rid
Provisioning of it when you don’t need
Scalability in
minutes
Scale out or in depending on usage needs.
Pay per No contracts or long-term commitments.
consumption Pay only for what you use.
Efficiency of
Experts
Utilize the skills, knowledge and resources of experts.
4. The “Living and Evolving” Cloud
AWS services and basic terminology
Most Applications Need:
1. Compute
2. Storage
3. Messaging
4. Payment
5. Distribution
6. Scale
7. Analytics
5. Scalability
Build Scalable Architecture on AWS
A scalable architecture is critical to take advantage of a scalable
infrastructure
Characteristics of Truly Scalable Service
Increasing resources results in a proportional increase in
performance
A scalable service is capable of handling heterogeneity
A scalable service is operationally efficient
A scalable service is resilient
A scalable service becomes more cost effective when it
grows
6. Cloud Architecture Lessons
using Amazon Web Services
1. Design for failure and nothing fails
2. Loose coupling sets you free
3. Implement “Elasticity”
4. Build Security in every layer
5. Don't fear constraints
6. Think Parallel
7. Leverage different storage options
7. 1. Design for Failure
and nothing will really fail
"Everything fails, all the time"
Werner Vogels, CTO Amazon.com
Avoid single points of failure
Assume everything fails, and design backwards
Goal: Applications should continue to function even if the
underlying physical hardware fails or is removed or replaced.
8. 2. Loose coupling sets you free
The looser they're coupled, the bigger they scale
Independent components
Design everything as a Black Box
De-coupling for Hybrid models
Load-balance clusters
Use Amazon SQS as Buffers
Tight Coupling Controller A Controller B Controller C
Q Q Q
Loose Coupling
using Queues Controller A Controller B Controller C
9. 3. Implement Elasticity
Elasticity is fundamental property of the Cloud
Don’t assume health or fixed location of components
Use designs that are resilient to reboot and re-launch
Bootstrap your instances: Instances on boot will ask a
question “Who am I & what is my role?”
Enable dynamic configuration
Use Auto-scaling (Free)
Use Elastic Load Balancing on multiple layers
Use configurations in SimpleDB to bootstrap instance
10. 4. Build Security in every layer
Design with Security in mind
With cloud, you lose a little bit of
physical control but not your
ownership
Create distinct Security Groups for each Amazon EC2 cluster
Use group-based rules for controlling access between layers
Restrict external access to specific IP ranges
Encrypt data “at-rest” in Amazon S3
Encrypt data “in-transit” (SSL)
Consider encrypted file systems in EC2 for sensitive data
Rotate your AWS Credentials, Pass in as arguments encrypted
Use MultiFactor Authentication
11. 4. Build Security in every layer
Design with Security in mind
“Web” Security Group:
TCP 80 0.0.0.0/0
TCP 443 0.0.0.0/0
TCP 22 “App”
“App” Security Group:
TCP 8080 “Web”
TCP 22 172.154.0.0/16
TCP 22 “App”
“DB” Security Group:
TCP 3306 “App”
TCP 3306 163.128.25.32/32
TCP 22 “App”
12. 5. Don't fear constraints
Re-think architectural constraints
More RAM? Distribute load across machines
Shared distributed cache
Better IOPS on my database?
Multiple read-only / sharding / DB
clustering
Hardware Config
Your hardware failed or messed up config? does not match?
simply throw it away and switch to new Implement Elasticity
hardware with no additional cost
Performance
Caching at different levels (Page, Render, DB)
13. 6. Think Parallel
Serial and Sequential is now history
Experiment different architectures in parallel
Multi-threading and Concurrent requests to cloud services
Run parallel MapReduce Jobs
Use Elastic Load Balancing to distribute load across multiple servers
Decompose a Job into its simplest form
14. 7. Leverage many storage options
One size DOES NOT fit all
Amazon S3: large static objects
Amazon CloudFront: content distribution
Amazon SimpleDB: simple data indexing/querying
Amazon EC2 local disc drive : transient data
Amazon EBS: persistent storage for any RDBMS + Snapshots on S3
Amazon RDS: RDBMS service - Automated and Managed MySQL
15. 7. Leverage many storage options
Which storage option to use when?
Amazon S3 + Amazon EC2 Amazon EBS Amazon Amazon RDS
CF Ephemeral SimpleDB
Store
Ideal for Storing Large Storing non- Off-instance Querying light- Storing and
write-once, persistent persistent weight attribute querying
read-many transient storage for any data structured
types of updates kind of data, Relational and
objects, Static referential
Content Data
Distribution
Ideal examples Media files, Config Data, Clusters, boot Querying, Complex
audio, video, scratch files, data, Log or Mapping, transactional
images, TempDB data of tagging, click- systems,
Backups, commercial stream logs, inventory
archives, RDBMS like metadata, management
versioning Oracle, DB2 shared-state and order
management, fulfillment
indexing systems
Not Querying, Storing Relational (joins)
recommended Searching Database logs query
for or backups,
customer data
Not Database, File Sensitive data Content OLTP, DW cube Simple
recommended Systems Distribution rollups lookups
examples
17. Exterior Firewall Hardware MyWebSite.com
or Software Solution to open
standard Ports (80, 443)
Web Load Balancer
Hardware or Software solution
to distribute traffic over web LB
servers
Web Tier
Fleet of machines handling
HTTP requests.
Web Server Web Server
Backend Firewall Limits
access to application tier from
web tier
LB
App Load Balancer
Hardware or Software solution to
spread traffic over app servers
App Server Tier
Fleet of machines handling App Server App Server App server Backups on
Application specific workloads Tapes Periodic
Caching server machines can backups stored on
be implemented at this layer Tapes usually
managed by 3rd
Data Tier party at their site
Database Server machines with
MySQL MySQL
master and local running
separately, Network storage for Master (Slave)
Static objects
Tapes
A Classic Web Architecture
18. MyWebSite.com
DNS
ELB: Web Tier LB
Design for failure and
Auto-scaling group : Web Tier Auto-scaling group : Web Tier
Web Server Web Server Web Server Web Server
nothing fails
SLB SLB
App Server App Server App Server App Server Cloud
Tomcat Tomcat
Front
Auto-scaling group : App Tier Auto-scaling group : App Tier
RDS RDS RDS Amazon
Master Slave Slave S3
Availability Zone #1 Availability Zone 2
Availability Zone #n
A Scalable Web Architecture on AWS
19. MyWebSite.com
DNS
ELB: Web Tier LB
Loose coupling sets you
Auto-scaling group : Web Tier Auto-scaling group : Web Tier
Web Server Web Server Web Server Web Server
SLB SLB
free
App Server App Server App Server App Server Cloud
Tomcat Tomcat
Front
Auto-scaling group : App Tier Auto-scaling group : App Tier
RDS RDS RDS Amazon
Master Slave Slave S3
Availability Zone #1 Availability Zone 2
Availability Zone #n
A Scalable Web Architecture on AWS
20. MyWebSite.com
DNS
ELB: Web Tier LB
Implement elasticity
Auto-scaling group : Web Tier Auto-scaling group : Web Tier
Web Server Web Server Web Server Web Server
SLB SLB
App Server App Server App Server App Server Cloud
Tomcat Tomcat
Front
Auto-scaling group : App Tier Auto-scaling group : App Tier
RDS RDS RDS Amazon
Master Slave Slave S3
Availability Zone #1 Availability Zone 2
Availability Zone #n
A Scalable Web Architecture on AWS
21. MyWebSite.com
DNS
ELB: Web Tier LB
Build Security in every
Auto-scaling group : Web Tier Auto-scaling group : Web Tier
Web Server Web Server Web Server Web Server
SLB SLB
layer
App Server App Server App Server App Server Cloud
Tomcat Tomcat
Front
Auto-scaling group : App Tier Auto-scaling group : App Tier
RDS RDS RDS Amazon
Master Slave Slave S3
Availability Zone #1 Availability Zone 2
Availability Zone #n
A Scalable Web Architecture on AWS
22. MyWebSite.com
DNS
ELB: Web Tier LB
Leverage many storage
Auto-scaling group : Web Tier Auto-scaling group : Web Tier
Web Server Web Server Web Server Web Server
options
SLB SLB
App Server App Server App Server App Server Cloud
Tomcat Tomcat
Front
Auto-scaling group : App Tier Auto-scaling group : App Tier
RDS RDS RDS Amazon
Master Slave Slave S3
Availability Zone #1 Availability Zone 2
Availability Zone #n
A Scalable Web Architecture on AWS
23. Cloud Architecture Lessons
Best Practices
1. Design for failure and nothing fails
2. Loose coupling sets you free
3. Implement Elasticity
4. Build Security in every layer
5. Don't fear constraints
6. Think Parallel
7. Leverage many storage options