RightScale Webinar: January 13, 2011 – Watch this webinar for a look behind the scenes as we discuss ServerTemplates and how are they different from alternate approaches.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 이종남 프로페셔널 컨설턴트가 발표한 내용입니다.
내용 요약: AWS 클라우드 인프라 활용의 이점을 극대화하기 위해 취해야 할 최적화 방안과 아키텍처 설계 방법에 대해 알아보겠습니다. AWS의 성능 최적화 전문가에게서 모범 사례를 습득하고 인프라 확장 과정에서 최적의 성능을 확보하려면 어떤 서비스를 어떻게 활용해야 하는지 알아보시기 바랍니다.
This document discusses using Hadoop and HBase on Amazon Web Services (AWS) for distributed data storage and analytics. It introduces Hadoop and describes how AWS Elastic MapReduce simplifies implementing and managing Hadoop clusters. It also discusses using HBase, an open-source NoSQL database, on AWS for scalable access to large, unstructured datasets. Finally, it covers strategies for optimizing costs when running big data workloads on AWS infrastructure.
The BlueData EPIC software platform makes deployment of Big Data infrastructure and applications easier, faster, and more cost-effective – whether on-premises or on the public cloud.
With BlueData EPIC on AWS, you can quickly and easily deploy your preferred Big Data applications, distributions and tools; leverage enterprise-class security and cost controls for multi-tenant deployments on the Amazon cloud; and tap into both Amazon S3 and on-premises storage for your Big Data analytics.
Sign up for a free two-week trial at www.bluedata.com/aws
(SPOT302) Under the Covers of AWS: Core Distributed Systems Primitives That P...Amazon Web Services
AWS and Amazon.com operate some of the world's largest distributed systems infrastructure and applications. In our past 18 years of operating this infrastructure, we have come to realize that building such large distributed systems to meet the durability, reliability, scalability, and performance needs of AWS requires us to build our services using a few common distributed systems primitives. Examples of these primitives include a reliable method to build consensus in a distributed system, reliable and scalable key-value store, infrastructure for a transactional logging system, scalable database query layers using both NoSQL and SQL APIs, and a system for scalable and elastic compute infrastructure.
In this session, we discuss some of the solutions that we employ in building these primitives and our lessons in operating these systems. We also cover the history of some of these primitives; DHTs, transactional logging, materialized views and various other deep distributed systems concepts; how their design evolved over time; and how we continue to scale them to AWS.
This introductory seminar explains Cloud Computing and Amazon Web Services (AWS) in great detail.
The presenter, Simone Brunozzi (@simon), is an AWS Technology Evangelist.
Recommended for business/technical audiences.
Cloud-powered Continuous Integration and Deployment architectures - Jinesh VariaAmazon Web Services
The presentation will discuss some architectural patterns in continuous integration, deployment and optimization and I will share some of the lessons learned from Amazon.com.
The goal of the presentation is to convince you that if you invest your time where you get the maximum learning from your customers, automate everything else in the cloud (CI + CD + CO), you get fast feedback and will be able to release early, release often and recover quickly from your mistakes. Dynamism of the cloud allows you to increase the speed of your iteration and reduce the cost of mistakes so you can continuously innovate while keeping your cost down.
AWS Webcast - Intro to DevOps: Using Amazon RDS with AWS OpsWorksAmazon Web Services
The document discusses DevOps and how AWS OpsWorks can help with DevOps practices. It defines DevOps as alignment between development and operations teams through improved communication and collaboration. It discusses how OpsWorks can help with iterative development, treating infrastructure as code, automation, and practicing resilience. OpsWorks provides automated provisioning, deployment, scaling, and management of applications and their supporting infrastructure.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 이종남 프로페셔널 컨설턴트가 발표한 내용입니다.
내용 요약: AWS 클라우드 인프라 활용의 이점을 극대화하기 위해 취해야 할 최적화 방안과 아키텍처 설계 방법에 대해 알아보겠습니다. AWS의 성능 최적화 전문가에게서 모범 사례를 습득하고 인프라 확장 과정에서 최적의 성능을 확보하려면 어떤 서비스를 어떻게 활용해야 하는지 알아보시기 바랍니다.
This document discusses using Hadoop and HBase on Amazon Web Services (AWS) for distributed data storage and analytics. It introduces Hadoop and describes how AWS Elastic MapReduce simplifies implementing and managing Hadoop clusters. It also discusses using HBase, an open-source NoSQL database, on AWS for scalable access to large, unstructured datasets. Finally, it covers strategies for optimizing costs when running big data workloads on AWS infrastructure.
The BlueData EPIC software platform makes deployment of Big Data infrastructure and applications easier, faster, and more cost-effective – whether on-premises or on the public cloud.
With BlueData EPIC on AWS, you can quickly and easily deploy your preferred Big Data applications, distributions and tools; leverage enterprise-class security and cost controls for multi-tenant deployments on the Amazon cloud; and tap into both Amazon S3 and on-premises storage for your Big Data analytics.
Sign up for a free two-week trial at www.bluedata.com/aws
(SPOT302) Under the Covers of AWS: Core Distributed Systems Primitives That P...Amazon Web Services
AWS and Amazon.com operate some of the world's largest distributed systems infrastructure and applications. In our past 18 years of operating this infrastructure, we have come to realize that building such large distributed systems to meet the durability, reliability, scalability, and performance needs of AWS requires us to build our services using a few common distributed systems primitives. Examples of these primitives include a reliable method to build consensus in a distributed system, reliable and scalable key-value store, infrastructure for a transactional logging system, scalable database query layers using both NoSQL and SQL APIs, and a system for scalable and elastic compute infrastructure.
In this session, we discuss some of the solutions that we employ in building these primitives and our lessons in operating these systems. We also cover the history of some of these primitives; DHTs, transactional logging, materialized views and various other deep distributed systems concepts; how their design evolved over time; and how we continue to scale them to AWS.
This introductory seminar explains Cloud Computing and Amazon Web Services (AWS) in great detail.
The presenter, Simone Brunozzi (@simon), is an AWS Technology Evangelist.
Recommended for business/technical audiences.
Cloud-powered Continuous Integration and Deployment architectures - Jinesh VariaAmazon Web Services
The presentation will discuss some architectural patterns in continuous integration, deployment and optimization and I will share some of the lessons learned from Amazon.com.
The goal of the presentation is to convince you that if you invest your time where you get the maximum learning from your customers, automate everything else in the cloud (CI + CD + CO), you get fast feedback and will be able to release early, release often and recover quickly from your mistakes. Dynamism of the cloud allows you to increase the speed of your iteration and reduce the cost of mistakes so you can continuously innovate while keeping your cost down.
AWS Webcast - Intro to DevOps: Using Amazon RDS with AWS OpsWorksAmazon Web Services
The document discusses DevOps and how AWS OpsWorks can help with DevOps practices. It defines DevOps as alignment between development and operations teams through improved communication and collaboration. It discusses how OpsWorks can help with iterative development, treating infrastructure as code, automation, and practicing resilience. OpsWorks provides automated provisioning, deployment, scaling, and management of applications and their supporting infrastructure.
Azure Identity (AD,ADFS 2.0,AAD,ADB2C,OAuth,OpenID,PingID,AD Custom Policies) ,
Azure PaaS (Azure Functions, Serverless computing, Azure Comsos DB, Webhooks, API Apps, Logic Apps, Kudu, Azure Websites), Azure Functions, Lamda Function, Event Functions, Serverless architecture, Implementing azure functions on GIT HUB comment feature, Why Azure Functions, Azure Virtual Machines, Azure Cloud Services, Azure Web Apps & WebJobs, Service Fabric, Consumption Plans, Billing Model, Benefits of Azure Functions, What is serverless, Implementing bigger solutions into smaller azure functions, Microservices, Use cases, Function App, Implementation storing unstructured data using Azure functions into Cosmos DB, Cosmos DB, Custom Azure functions, Azure Cosmos DB, IOTS, Document DB, Doc DB, How to setup a Jenkins build server and automatically trigger code from Visual studio online,Azure App Service, App service Environment, Azure Stack, Managing Azure App services, Azure Powershell, Azure CLI, REST APIS, Azure Portal, Templates, Kudu Console access, Run GIT Commands on Kudu Console, Locking Azure Resources, Configuring Custom Domains, Adding Extensions to Azure Web App/Websites, App service Deployment options, Data Services in Azure , Azure SQL, Azure SQL server, Azure SQL database vs SQL server in a Azure VM, SQL Tiers, DTU, Data Transactional Unit, Planning & provisioning azure SQL databases,Migrating SQL Databases, Azure SQL Server, SQL server transactional replication, Deploy database to Microsoft Azure Database Wizard, DAC package, DAC, SQL compatibility issues, Migrating SQL with downtime, DMA, Data Migration Assistant, Database Snapshot, Migrating SQL without downtime, DTU, Data Transactional Unit, Recommendations for best performance during SQL Import Process, Transactional Replication, T-SQL, Task to implement what ever you learnt till now,
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.
AWS Canberra WWPS Summit 2013 - AWS for Test and DevelopmentAmazon Web Services
Come and learn how the flexible and pay as you go nature of AWS makes it perfect for compute environments that need to be spun up quickly and disposed of when not needed, and placing this power at the fingertips of developers means you can make step changes in productivity as you progress applications through the dev/test cycle.
Building what's next with google cloud's powerful infrastructureMediaAgility
Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges
Be more data driven, but on-prem data is hard to access, analyze, and use
Have to focus to stay ahead of competition, can’t afford wasted efforts
Attract and retain customers and employees with great experiences
Security threats keep growing
Be more agile - turn IT into competitive advantage
Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.
What's New + The Lean Methodology: Introduction to AWS, CambridgeAmazon Web Services
The document discusses several new features and updates for AWS services:
- Announcing the launch of AWS Marketplace and new database services like Amazon RDS for SQL Server and Oracle.
- Other updates include .NET support for AWS Elastic Beanstalk, expanding the availability of Elastic Beanstalk to new regions, and enabling billing alerts.
- Additional updates cover features for services like Amazon CloudFront, Amazon DynamoDB, Amazon EC2, AWS Storage Gateway, and Amazon SES.
The document also provides links to other AWS resources like webinars, reference architectures, management console updates, calculators and documentation in new languages.
Oracle Peoplesoft on AWS: A quick introductionTom Laszewski
This document provides an overview of moving Oracle PeopleSoft applications to Amazon Web Services (AWS). It summarizes the key benefits of running PeopleSoft on AWS, including high availability, scalability, and pay-as-you-go pricing. It also outlines sample application architectures on AWS and lessons learned from migration projects. Interactive demos and proof of concept services are available to help customers evaluate running PeopleSoft on AWS.
Machine Learning & Data Science come to DAMElliot Sedegah
Learn more at: www.adobe.com/go/dam
Speakers: Elliot Sedegah, Jonas Dahl
DAM is evolving from a content library to an intelligent platform to deliver customer experiences. The latest advances in machine learning and analytics are a part of this transition as these new technologies begin to find a productive role in the world of DAM. From auto-tagging to insights - the DAM of the future is on the horizon.
This presentation will discuss:
- The latest advances in machine learning & AI that are enhancing the DAM user experience and automating many formerly manual tasks.
- How data science & analytics are changing the way we track asset usage and performance.
[AWS Innovate 온라인 컨퍼런스] 간단한 Python 코드만으로 높은 성능의 기계 학습 모델 만들기 - 김무현, AWS Sr.데이...Amazon Web Services Korea
발표자료 다시보기: https://youtu.be/xnimaVNTWfc
여러분의 애플리케이션에 인공 지능 기능을 추가하는 방법 중 하나로, GluonCV 및 AutoGluon 라이브러리를 이용해서 간단한 Python 코드로 높은 성능의 기계 학습 모델을 만들고 이를 예측에 사용하는 방법을 소개합니다. 정형 데이터에 대한 분류 또는 수치 예측 모델 생성부터 이미지 분류, 객체 탐지, 세그먼테이션, 행동 인식 등의 모델을 기계 학습에 대한 전문 지식이 없이도 자동으로 만들고 활용하는 방법을 알아봅니다.
This one-hour presentation covers the tools and techniques for migrating SQL Server databases and data to Azure SQL DB or SQL Server on VM. Includes SSMA, DMA, DMS, and more.
Architecting for the Cloud: demo and best practices, by Simone Brunozzi (2011...Amazon Web Services
The document outlines a presentation titled "Architecting for the Cloud - Demo and Best Practices". The presentation covers seven principles of cloud architecture - introduction, scalability, storage, understanding durability, interface, costs, and security. It includes demos and discusses concepts like auto-scaling, decoupling, and designing for failure. The presentation aims to provide best practices for architecting systems in the cloud.
How Retail Insights, LLC Used Alert Logic to Meet Compliance Mandates and Enh...Amazon Web Services
Retail Insights, LLC lacked sufficient visibility into their AWS environment and were relying on third party developers to build their web applications. To gain a better understanding of their security posture, they sought out a security solution that would provide total visibility into their apps and environment. Additionally, a new business opportunity arose that required Retail Insights to demonstrate how they would meet HIPAA compliance for PII data. Alert Logic helped Retail Insights by not only helping them gain visibility into their AWS environment, but providing a comprehensive security solution that protected several layers of the application stack with a team of security experts actively monitoring and protecting them from threats
Atlassian Connect on Serverless Platforms: Low Cost Add-OnsAtlassian
Join Atlassian developer Patrick Streule to learn about a Java- and JavaScript-based framework that makes it easy for developers to create and deploy serverless add-ons, thanks to platforms like AWS Lambdas and DynamoDB. He'll cover the overall architecture of serverless add-ons, then explain how to manage security, deployments, and integrations with various AWS services and other modern serverless providers.
Patrick Streule, Architect, Atlassian
This document discusses high performance computing (HPC) on Microsoft Azure. It begins with an overview of the HPC opportunity in the cloud, highlighting how the cloud provides elasticity and scale to accommodate variable computing demands. It then outlines Azure's value proposition for HPC, including its productive, trusted and hybrid capabilities. The document reviews the various HPC resources available on Azure like VMs, GPUs, and Cray supercomputers. It also discusses solutions for HPC like Azure Batch, Azure Machine Learning Compute, Azure CycleCloud and Avere vFXT. Example industry use cases are provided for automotive, financial services, manufacturing, media/entertainment and oil/gas. The summary reiterates that Azure is uniquely positioned
Kubo (Cloud Foundry Container Platform): Your Gateway Drug to Cloud-nativecornelia davis
The document discusses how Kubo can be used as a gateway to running cloud-native workloads. It outlines different types of workloads like code developed internally which may change frequently or code from third parties. For internally developed code, Kubo allows maintaining existing processes while deploying container images instead of infrastructure. For external code and data-centric workloads, Kubo provides benefits like health management, multi-cloud support, and operating system/Kubernetes upgrades without affecting applications. The document calls developers to run workloads on Cloud Foundry Container Runtime and share experiences.
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.
Pets vs. Cattle: The Elastic Cloud StoryRandy Bias
My recent presentation to the Chicago DevOps Meetup that explains how we're moving from a servers as Pets world to a servers as Cattle world. Understanding this change is critical to success in cloud, DevOps, and delivering new value to the enterprise.
Talk on "Building Highly Scalable Web Applications" by Jeff Barr at IWMW 2007.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2007/talks/barr/
Day 2 - Amazon RDS - Letting AWS run your Low Admin, High Performance DatabaseAmazon 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. In this webinar we review the different types of Amazon RDS available and how to move your existing databases to Amazon RDS with minimum disruption.
Reasons to attend:
- Learn how Amazon RDS can reduce the overhead of running high performance mission critical databases.
- Learn how to migrate your existing database workloads into Amazon RDS running on the AWS Cloud.
- Learn how to scale up and scale down your Amazon RDS instance and save money with reserved instances.
Create Agile, Automated and Predictable IT Infrastructure in the CloudRightScale
RightScale Webinar: February 9, 2010 – In this Webinar, RightScale founder Thorsten von Eicken walks you through the differences between RightScale's ServerTemplate technology and machine images. During the live demonstration, see how ServerTemplates allow you to deploy agile, automated and predictable IT infrastructure in the cloud using RightScale. We also present research on how much time our customers have saved by utilizing this technology.
RightScale Webinar: February 1, 2011 – Just like our customers, RightScale runs in the cloud and requires the best platform to automate operations. As such, RightScale uses RightScale to manage RightScale. Our complete infrastructure – development, testing, staging, and production – consists of servers that are configured, launched and managed by the RightScale Platform.
Azure Identity (AD,ADFS 2.0,AAD,ADB2C,OAuth,OpenID,PingID,AD Custom Policies) ,
Azure PaaS (Azure Functions, Serverless computing, Azure Comsos DB, Webhooks, API Apps, Logic Apps, Kudu, Azure Websites), Azure Functions, Lamda Function, Event Functions, Serverless architecture, Implementing azure functions on GIT HUB comment feature, Why Azure Functions, Azure Virtual Machines, Azure Cloud Services, Azure Web Apps & WebJobs, Service Fabric, Consumption Plans, Billing Model, Benefits of Azure Functions, What is serverless, Implementing bigger solutions into smaller azure functions, Microservices, Use cases, Function App, Implementation storing unstructured data using Azure functions into Cosmos DB, Cosmos DB, Custom Azure functions, Azure Cosmos DB, IOTS, Document DB, Doc DB, How to setup a Jenkins build server and automatically trigger code from Visual studio online,Azure App Service, App service Environment, Azure Stack, Managing Azure App services, Azure Powershell, Azure CLI, REST APIS, Azure Portal, Templates, Kudu Console access, Run GIT Commands on Kudu Console, Locking Azure Resources, Configuring Custom Domains, Adding Extensions to Azure Web App/Websites, App service Deployment options, Data Services in Azure , Azure SQL, Azure SQL server, Azure SQL database vs SQL server in a Azure VM, SQL Tiers, DTU, Data Transactional Unit, Planning & provisioning azure SQL databases,Migrating SQL Databases, Azure SQL Server, SQL server transactional replication, Deploy database to Microsoft Azure Database Wizard, DAC package, DAC, SQL compatibility issues, Migrating SQL with downtime, DMA, Data Migration Assistant, Database Snapshot, Migrating SQL without downtime, DTU, Data Transactional Unit, Recommendations for best performance during SQL Import Process, Transactional Replication, T-SQL, Task to implement what ever you learnt till now,
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.
AWS Canberra WWPS Summit 2013 - AWS for Test and DevelopmentAmazon Web Services
Come and learn how the flexible and pay as you go nature of AWS makes it perfect for compute environments that need to be spun up quickly and disposed of when not needed, and placing this power at the fingertips of developers means you can make step changes in productivity as you progress applications through the dev/test cycle.
Building what's next with google cloud's powerful infrastructureMediaAgility
Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges
Be more data driven, but on-prem data is hard to access, analyze, and use
Have to focus to stay ahead of competition, can’t afford wasted efforts
Attract and retain customers and employees with great experiences
Security threats keep growing
Be more agile - turn IT into competitive advantage
Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.
What's New + The Lean Methodology: Introduction to AWS, CambridgeAmazon Web Services
The document discusses several new features and updates for AWS services:
- Announcing the launch of AWS Marketplace and new database services like Amazon RDS for SQL Server and Oracle.
- Other updates include .NET support for AWS Elastic Beanstalk, expanding the availability of Elastic Beanstalk to new regions, and enabling billing alerts.
- Additional updates cover features for services like Amazon CloudFront, Amazon DynamoDB, Amazon EC2, AWS Storage Gateway, and Amazon SES.
The document also provides links to other AWS resources like webinars, reference architectures, management console updates, calculators and documentation in new languages.
Oracle Peoplesoft on AWS: A quick introductionTom Laszewski
This document provides an overview of moving Oracle PeopleSoft applications to Amazon Web Services (AWS). It summarizes the key benefits of running PeopleSoft on AWS, including high availability, scalability, and pay-as-you-go pricing. It also outlines sample application architectures on AWS and lessons learned from migration projects. Interactive demos and proof of concept services are available to help customers evaluate running PeopleSoft on AWS.
Machine Learning & Data Science come to DAMElliot Sedegah
Learn more at: www.adobe.com/go/dam
Speakers: Elliot Sedegah, Jonas Dahl
DAM is evolving from a content library to an intelligent platform to deliver customer experiences. The latest advances in machine learning and analytics are a part of this transition as these new technologies begin to find a productive role in the world of DAM. From auto-tagging to insights - the DAM of the future is on the horizon.
This presentation will discuss:
- The latest advances in machine learning & AI that are enhancing the DAM user experience and automating many formerly manual tasks.
- How data science & analytics are changing the way we track asset usage and performance.
[AWS Innovate 온라인 컨퍼런스] 간단한 Python 코드만으로 높은 성능의 기계 학습 모델 만들기 - 김무현, AWS Sr.데이...Amazon Web Services Korea
발표자료 다시보기: https://youtu.be/xnimaVNTWfc
여러분의 애플리케이션에 인공 지능 기능을 추가하는 방법 중 하나로, GluonCV 및 AutoGluon 라이브러리를 이용해서 간단한 Python 코드로 높은 성능의 기계 학습 모델을 만들고 이를 예측에 사용하는 방법을 소개합니다. 정형 데이터에 대한 분류 또는 수치 예측 모델 생성부터 이미지 분류, 객체 탐지, 세그먼테이션, 행동 인식 등의 모델을 기계 학습에 대한 전문 지식이 없이도 자동으로 만들고 활용하는 방법을 알아봅니다.
This one-hour presentation covers the tools and techniques for migrating SQL Server databases and data to Azure SQL DB or SQL Server on VM. Includes SSMA, DMA, DMS, and more.
Architecting for the Cloud: demo and best practices, by Simone Brunozzi (2011...Amazon Web Services
The document outlines a presentation titled "Architecting for the Cloud - Demo and Best Practices". The presentation covers seven principles of cloud architecture - introduction, scalability, storage, understanding durability, interface, costs, and security. It includes demos and discusses concepts like auto-scaling, decoupling, and designing for failure. The presentation aims to provide best practices for architecting systems in the cloud.
How Retail Insights, LLC Used Alert Logic to Meet Compliance Mandates and Enh...Amazon Web Services
Retail Insights, LLC lacked sufficient visibility into their AWS environment and were relying on third party developers to build their web applications. To gain a better understanding of their security posture, they sought out a security solution that would provide total visibility into their apps and environment. Additionally, a new business opportunity arose that required Retail Insights to demonstrate how they would meet HIPAA compliance for PII data. Alert Logic helped Retail Insights by not only helping them gain visibility into their AWS environment, but providing a comprehensive security solution that protected several layers of the application stack with a team of security experts actively monitoring and protecting them from threats
Atlassian Connect on Serverless Platforms: Low Cost Add-OnsAtlassian
Join Atlassian developer Patrick Streule to learn about a Java- and JavaScript-based framework that makes it easy for developers to create and deploy serverless add-ons, thanks to platforms like AWS Lambdas and DynamoDB. He'll cover the overall architecture of serverless add-ons, then explain how to manage security, deployments, and integrations with various AWS services and other modern serverless providers.
Patrick Streule, Architect, Atlassian
This document discusses high performance computing (HPC) on Microsoft Azure. It begins with an overview of the HPC opportunity in the cloud, highlighting how the cloud provides elasticity and scale to accommodate variable computing demands. It then outlines Azure's value proposition for HPC, including its productive, trusted and hybrid capabilities. The document reviews the various HPC resources available on Azure like VMs, GPUs, and Cray supercomputers. It also discusses solutions for HPC like Azure Batch, Azure Machine Learning Compute, Azure CycleCloud and Avere vFXT. Example industry use cases are provided for automotive, financial services, manufacturing, media/entertainment and oil/gas. The summary reiterates that Azure is uniquely positioned
Kubo (Cloud Foundry Container Platform): Your Gateway Drug to Cloud-nativecornelia davis
The document discusses how Kubo can be used as a gateway to running cloud-native workloads. It outlines different types of workloads like code developed internally which may change frequently or code from third parties. For internally developed code, Kubo allows maintaining existing processes while deploying container images instead of infrastructure. For external code and data-centric workloads, Kubo provides benefits like health management, multi-cloud support, and operating system/Kubernetes upgrades without affecting applications. The document calls developers to run workloads on Cloud Foundry Container Runtime and share experiences.
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.
Pets vs. Cattle: The Elastic Cloud StoryRandy Bias
My recent presentation to the Chicago DevOps Meetup that explains how we're moving from a servers as Pets world to a servers as Cattle world. Understanding this change is critical to success in cloud, DevOps, and delivering new value to the enterprise.
Talk on "Building Highly Scalable Web Applications" by Jeff Barr at IWMW 2007.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2007/talks/barr/
Day 2 - Amazon RDS - Letting AWS run your Low Admin, High Performance DatabaseAmazon 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. In this webinar we review the different types of Amazon RDS available and how to move your existing databases to Amazon RDS with minimum disruption.
Reasons to attend:
- Learn how Amazon RDS can reduce the overhead of running high performance mission critical databases.
- Learn how to migrate your existing database workloads into Amazon RDS running on the AWS Cloud.
- Learn how to scale up and scale down your Amazon RDS instance and save money with reserved instances.
Create Agile, Automated and Predictable IT Infrastructure in the CloudRightScale
RightScale Webinar: February 9, 2010 – In this Webinar, RightScale founder Thorsten von Eicken walks you through the differences between RightScale's ServerTemplate technology and machine images. During the live demonstration, see how ServerTemplates allow you to deploy agile, automated and predictable IT infrastructure in the cloud using RightScale. We also present research on how much time our customers have saved by utilizing this technology.
RightScale Webinar: February 1, 2011 – Just like our customers, RightScale runs in the cloud and requires the best platform to automate operations. As such, RightScale uses RightScale to manage RightScale. Our complete infrastructure – development, testing, staging, and production – consists of servers that are configured, launched and managed by the RightScale Platform.
Build & Deploy Scalable Cloud Applications in Record TimeRightScale
The document summarizes a presentation about developing and deploying scalable cloud applications using WaveMaker and RightScale. WaveMaker is a platform for rapidly developing web and cloud applications while RightScale is a cloud management platform that allows deploying and managing applications across different cloud infrastructures. The presentation included demos of building an application with WaveMaker and deploying/managing it using RightScale's automation and scaling capabilities.
- The document discusses next generation server architecture in the cloud, including automated management of cloud applications across different cloud platforms using RightScale technologies.
- Key benefits of RightScale's approach include saving time and reducing complexity through dynamic server configuration that allows deploying a single server model across multiple environments, as well as complete lifecycle management.
- A demonstration showed how RightScale server templates can be used to automatically deploy and manage applications in the cloud from initial launch through maintenance and decommissioning.
RightScale User Conference / Fall / 2010 - Morning SessionsRightScale
The document discusses RightScale's community programs for cloud management users, including user conferences, online forums, community publishing, local user groups, and ambassador programs. It highlights RightScale's user groups where users can network, share best practices, and get support from RightScale. It also describes the ambassador program which empowers enthusiasts to share information about RightScale and clouds.
RightScale Webinar: October 30, 2008 – This webinar focuses on how the RightScale Platform handles autoscaling with specific instructions and a live demo. Watch the video at http://vimeo.com/rightscale/autoscaling-server-arrays.
RightScale Webinar: October 14, 2010 – In this Webinar, we demonstrate the RightScale Development and Test Solution Pack featuring Zend and IBM software stacks and show you how you can reduce the time you spend configuring hardware and managing resources.
Bootstrapping - Session 1 - Your First Week with Amazon EC2Amazon Web Services
Amazon Elastic Compute Cloud (Amazon EC2) provides resizable compute capacity in the cloud and is often the starting point for your first week using AWS. This presentation will introduce some essential getting started tips and walk through the journey into AWS, the basic technologies you need to understand and why you should use them. You'll hear real a customer's first year journey and benefit from what they would tell you to do in your first week as they impart the lessons learned, challenges faced and opportunities presented.
Ryan Shuttleworth, Technical Evangelist, AWS
Andrew Dunn, CTO and Nick Hills, Ops Manager, Compliant Phones
This document discusses why startups continue to use Amazon Web Services (AWS). It notes that startups have limited resources and need to validate ideas quickly and at low cost. AWS allows startups to focus on building their product rather than infrastructure. It emphasizes lean startup principles of releasing minimal viable products, collecting user feedback, and iterating quickly. AWS services like EC2, S3, CloudFormation, and Elastic MapReduce help startups scale infrastructure as needed without large upfront costs. This allows startups to experiment more and innovate faster. Case studies show how startups have used AWS to handle growth, process large amounts of data, and deploy code continuously while maintaining flexibility.
This document discusses Microsoft Azure and its capabilities. It highlights that Azure has over 100 datacenters globally, with 19 regions currently online. It also notes that Azure has one of the top 3 networks in the world and offers larger VM sizes than AWS or Google Cloud. The document then summarizes some of Azure's core capabilities like compute, storage, databases, analytics and more. It provides examples of how customers can use Azure's tools and services.
RightScale Webinar: So you want to move to the cloud... but you’re not sure what that means, or where you would even start. Or you want to get your feet wet with a proof-of-concept project before you bring out the big guns. We asked Brian Adler, our Professional Services Architect who works directly with customers on cloud projects every single day, to select five cloud projects that you can get started with (and complete!) quickly. In this webinar, Brian and Rafael Saavedra, our VP of Engineering, will walk you through those five projects and will help you demonstrate success in the cloud now.
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Azatec lo hace posible a un solo click.
Estamos a su disposición en luis.vallejo@azatec.com
Advanced Deployment Best Practices with AWS CodeDeploy (DEV404-R2) - AWS re:I...Amazon Web Services
In this chalk talk, we share best practices for making decisions around designing blue/green or canary deployments for your application or infrastructure updates. We focus on applications running on Amazon EC2, and we use AWS CodeDeploy to automate deployments. We also take a deeper look at some of the advanced features, such as how to reroute traffic while your application is running. Finally, we share some examples of how to consume an Auto Scaling group with AWS CodeDeploy.
Cloud computing provides scalable computing resources on demand that can be accessed over the internet. The document discusses different types of cloud computing including public, private and hybrid clouds. It also summarizes how cloud management systems like RightScale allow users to launch and configure virtual servers across multiple cloud providers, deploy applications across server templates for flexibility, and manage multiple servers as a unified deployment. The demo portion shows how to launch a server, dynamically configure server templates, and manage a multi-server environment on RightScale's cloud management platform.
Sydney based cloud consultancy Cloudten's Richard Tomkinson shows how masterless Puppet can be used in concert with AWS's services including Lambda to automate server builds and manage code deployments
"Scaling ML from 0 to millions of users", Julien Simon, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: ""Scaling ML from 0 to millions of users""
Speaker: Julien Simon, Global AI & Machine Learning Evangelist at AWS
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=N73u1mx9DqY
Learn how to use AWS services to automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps. In this session, we will provide an overview of the various AWS development and deployment services and when best to use them. We will show how to build a fully automated infrastructure and software delivery pipeline with AWS CodePipeline, AWS CodeBuild, AWS CloudFormation and AWS CodeDeploy. At the end of the session, a GitHub repository of AWS CloudFormation templates will be provided so you can quickly deploy the same pipeline to your AWS account(s).
The Future is Now: Leveraging the Cloud with RubyRobert Dempsey
My presentation from the Ruby Hoedown on cloud computing and how Ruby developers can take advantage of cloud services to build scalable web applications.
This document discusses how to maintain large web applications over time. It describes how the author's team managed a web application with over 65,000 lines of code and 6,000 automated tests over 2.5 years of development. Key aspects included packaging full releases, automating dependency installation, specifying supported environments, and automating data migrations during upgrades. The goal was to have a sustainable process that allowed for continuous development without slowing down due to maintenance issues.
RightScale uses RightScale to manage its own infrastructure including production, staging, development, and meta systems. The production environment has hundreds of servers running in various clouds to provide high availability. Upgrades are done by launching new servers with the latest code while keeping existing servers available as a rollback option. Monitoring is extensive and includes monitoring the monitoring systems. Key RightScale features like server templates and the library are very useful but some areas could be improved.
10 Must-Have Automated Cloud Policies for IT GovernanceRightScale
As both cloud use and spend increase, enterprises need to implement automated cloud governance. IT leaders must avoid impeding the agility that cloud provides while ensuring efficient cloud spend and reducing risk. In this webinar, we will cover 10 automated policies that every enterprise should have as part of IT governance best practices for cloud.
Kubernetes and Terraform in the Cloud: How RightScale Does DevOpsRightScale
This document summarizes a presentation about how RightScale uses Kubernetes, Terraform, and other tools in their cloud management platform. It discusses how RightScale has transitioned from using Docker containers on individual VMs ("Bay of Containers") to using Kubernetes container clusters in the cloud ("Sea of Containers"). RightScale built custom images with Kubernetes components pre-installed to speed up cluster creation. Terraform is used to provision infrastructure including Kubernetes clusters and integrate with the RightScale platform. The goal was to enable developers to have self-managed Kubernetes clusters using infrastructure as code principles. Key aspects included making clusters disposable while maintaining high availability, and distributing Terraform modules to development teams to simplify cluster creation and management
Optimize Software, SaaS, and Cloud with Flexera and RightScaleRightScale
Flexera and RightScale have now joined forces to help you optimize the technologies you use. Learn how Flexera solutions for software license optimization and SaaS management complement RightScale cloud management and cost optimization offerings to give you comprehensive management of your technology spend.
Prepare Your Enterprise Cloud Strategy for 2019: 7 Things to Think About NowRightScale
Cloud adoption just keeps on growing and now is the time to take control. Your enterprise cloud strategy for 2019 needs to address the broad impact of cloud use in your company. Your strategy should also cover implications for your technical processes, as well as supporting areas including finance, governance, organization, and culture.
How to Set Up a Cloud Cost Optimization Process for your EnterpriseRightScale
As cloud spend grows, enterprises need to set up internal processes to manage and optimize their cloud costs. This process will help organizations to accurately allocate and report on costs while minimizing wasted spend. In this webinar, experts from RightScale’s Cloud Cost Optimization team will share best practices in how to set up your own internal processes.
Multi-Cloud Management with RightScale CMP (Demo)RightScale
Almost every enterprise will face the challenge of multi-cloud management. A cloud management platform (CMP) can help you broker standardized cloud services with a single view across both public and private clouds, giving you control over existing cloud usage and enabling you to offer self-service provisioning across all your clouds and virtualized infrastructure.
Comparing Cloud VM Types and Prices: AWS vs Azure vs Google vs IBMRightScale
In today’s multi-cloud world, you need to understand how VM types and prices compare between public clouds. Whether you are comparing clouds to find the best placement, benchmarking your compute costs, or want to migrate between clouds, you’ll find out how to map the instance types and how costs will vary by cloud provider.
How to Allocate and Report Cloud Costs with RightScale OptimaRightScale
Spend on cloud is increasing, but getting cloud costs allocated to the right business units can still be challenging, especially when you are using multiple clouds. You need automated tools that enable you to allocate costs from your cloud bill and report on spend to users across your organization.
Should You Move Between AWS, Azure, or Google Clouds? Considerations, Pros an...RightScale
The media is highlighting scores of stories about companies that have moved from one public cloud to another for business or technical reasons. Regardless of whether you are running on AWS, Azure, or Google, there will likely come a time that you’ll want to consider switching cloud providers. Whether you are contemplating a move now or just want to keep your options open in the future, you will need to consider a variety of cost, service, and technical factors. In this webinar, we’ll walk you through the evaluation process of migrating to another cloud provider and highlight the pros and cons.
Using RightScale CMP with Cloud Provider ToolsRightScale
Large organizations are using cloud management platforms (CMPs) to manage and govern multi-cloud environments. They need their CMPs to work regardless of the cloud provider tools used by development teams, including AWS Cloud Formation templates, Azure Resource Manager templates, and container services. We will show how RightScale CMP can add operation orchestration and governance regardless of how you provision your workloads.
Best Practices for Multi-Cloud Security and ComplianceRightScale
The last few months have seen ongoing cloud security breaches and a heightened data privacy focus due to GDPR. In today’s multi-cloud environment, enterprises are challenged to ensure security and compliance across both public and private clouds. We will help you understand best practices for multi-cloud security and compliance and how a cloud management platform (CMP) can help.
Automating Multi-Cloud Policies for AWS, Azure, Google, and MoreRightScale
With the explosion of cloud use, enterprises need to implement appropriate governance controls. Automated policies can optimize costs and ensure that operational, compliance, and security requirements are met. Using RightScale, you can create a single policy to work across all of your clouds, including AWS, Azure, Google Cloud, and VMware vSphere.
The 5 Stages of Cloud Management for EnterprisesRightScale
With cloud use exploding and cloud bills skyrocketing, enterprises are implementing new cloud governance processes and tools. A cloud management platform (CMP) will be a foundational technology you’ll need to get it all under control. We cover the 5 stages of cloud management that enterprises go through to fully manage their cloud use, and how a CMP helps.
Cloud storage costs are increasing and now represent a significant portion of cloud spend. As a result, cloud users need to focus on ways to reduce storage spend by selecting the best options while also finding ways to manage the rapid increase in the use of cloud storage.
Serverless Comparison: AWS vs Azure vs Google vs IBMRightScale
This document provides a comparison of serverless computing platforms across AWS Lambda, Azure Functions, Google Cloud Functions, and IBM Cloud Functions. It covers aspects such as available languages, memory sizes and limits, scaling behavior, built-in triggers, pricing models, and example cost comparisons between serverless and traditional compute instances. The document finds that while all major clouds offer serverless computing, they differ in areas like languages supported, scaling performance, and pricing models, with no single option emerging as unanimously superior across all dimensions.
Best Practices for Cloud Managed Services Providers: The Path to CMP SuccessRightScale
Managed services providers (MSPs) and other IT services providers offering managed services across multiple clouds use a cloud management platform (CMP) as a foundational technology. But what are the best practices for MSPs to leverage a CMP for success with end customers? MSPs need to implement appropriate account hierarchies, tagging strategies, cost management practices, templating and automation approaches, and DevOps processes.
Cloud Storage Comparison: AWS vs Azure vs Google vs IBMRightScale
The document provides a comparison of cloud storage options across AWS, Azure, Google, and IBM. It summarizes the key services and features of block/disk storage, object storage, and file storage for each cloud. It includes details on pricing, performance characteristics, replication, availability, and encryption capabilities. Example scenarios are also provided to illustrate the monthly costs for common configurations on each cloud platform.
2018 Cloud Trends: RightScale State of the Cloud ReportRightScale
The document summarizes the key findings from the 2018 State of the Cloud Report by RightScale. It shows that multi-cloud strategies are predominant, with 81% of enterprises wanting a multi-cloud approach. Public cloud adoption continues to grow rapidly, with Azure seeing faster growth than AWS. Security and managing cloud costs are the top challenges faced by organizations. While waste in the cloud is rampant, few organizations have automated policies to optimize costs. Use of containers and Docker is up significantly across all organizations.
Got a Multi-Cloud Strategy? How RightScale CMP HelpsRightScale
Most enterprises already have a multi-cloud strategy. A cloud management platform (CMP) can help you broker cloud services with a single view across both public and private clouds, giving you control over existing cloud usage and enabling you to offer self-service provisioning across all your clouds and virtualized infrastructure.
How to Manage Cloud Costs with RightScale OptimaRightScale
This document discusses how to manage cloud costs using RightScale Optima. It notes that significant waste exists in cloud spending and that cost optimization is a top initiative. It recommends collaborating with business units and resource owners to reduce wasted cloud spend through cost reporting, identification of waste and savings opportunities, and automated policies to alert and take action on waste. The goal is to move from cost management to cost optimization and ultimately automated policies for ongoing cost reduction.
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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
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).
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
12. RightScale Real Customers, Real Deployments, Real Benefits Managing Cloud Deployments for 4 Years More than 30,000 users; launched almost 2,000,000 servers On-Demand with a range of customer service offerings
14. What are ServerTemplates? Configuring servers through bundling Images: Configuring servers with ServerTemplates: Custom MySQL 5.0.24 (CentOS 5.2) Custom MySQL 5.0.24 (CentOS 5.4) A set of configuration directives that will install and configure software on top of the base image MySQL 5.0.36 (CentOS 5.4) MySQL 5.0.36 (Ubuntu 8.10) MySQL 5.0.36 (Ubuntu 8.10) 64bit Frontend Apache 1.3 (Ubuntu 8.10) Frontend Apache 2.0 (Ubuntu 9.10) - patched CMS v1.0 (CentOS 5.4) CMS v1.1 (CentOS 5.4) My ASP appserver (windows 2008) My ASP.net (windows 2008) – security update 1 Base Image Very few and basic My ASP.net (windows 2008) – security update 8 SharePoint v4 (windows 2003) – 32bit SharePoint v4 (windows 2003) –64bit Win 2003 CentOS 5.2 Ubuntu 8.10 SharePoint v4.5 (windows 2003) –64bit CentOS 5.4 Win 2007 Ubuntu 9.10 …
15. What are ServerTemplates? Anatomy of a ServerTemplate Example ServerTemplate MySQL 5.0 RightScript/Recipe 6 Initialize slave … … operations operations RightScript/Recipe 6 Perform backup RightScript/Recipe N Start all services … … RightScript/Recipe 5 Setup DNS and IPs RightScript/Recipe 4 Restore last backup boot sequence boot sequence RightScript/Recipe 3 Configure/tune MySQL RightScript/Recipe 2 Install MySQL Server RightScript/Recipe 1 Install monitoring Base Image Right Image
16. What do they help me do? Affect Cloud Resources and specify cloud properties(image, instance type, ssh key, security groups, etc.) “Record” everything you do to set up a server (install software, edit configuration files, start services, etc.) Extract variable configuration information [as Inputs] Define custom monitors and alerts Keep versions of your configurations, images, scripts… Share best practices within your organization, or to the world Incorporate best practices from others, and receive updates
17. Coupa Cloud Spend Management Goal - Focus on core business & scale with lean operations team Ruby on Rails – the cloud platform ServerTemplates are re-usable for each stage of SDLC Coupa benefits from community contributions as accelerators sanket.naik@coupa.com
18. Environment Lifecycle Management Production Staging Test Developer load bal apache apache app server app server app server api server all-in-one backgrnd backgrnd backgrnd database database database
19. Sounds great… How do I get started? Two options: Start from Scratch… or Search the Library and add a RightScript:
20. Mix-n-Match Pre-Built Components You can mix & match scripting languages on same template: Bash, PowerShell, Chef, Python, Ruby…
21. Some Key Best Practices Add new scripts vs. modifying existing scripts If you import a ServerTemplate from the Library, try not to change the existing scripts. Instead, add new ones at the end and overwrite previous operations/configurations. That way, it will be easier to incorporate any future updates. Design idempotent systems When writing scripts that create/modify configurations files, make them idempotent. If the script is run twice, it will not destroy the configuration (e.g. ‘>’ instead of ‘>>’ for a new file). Kill processes before you (re)start them – remember that often, people may just be pressing a play button in our interface Trap errors informatively Ensure everything is in the right place, exit -1 if not: you want your server to ‘strand’ appropriately with descriptive messages Leverage existing knowledge and assets Learn from others – peruse other templates in the Library
22. What if I’ve already created an image? No Problem… RightScale-enable your image Install RightLink Agent# rpm -i rightscale_5.3.0-centos_5.4-i386.rpm-or- Rebundle Tag the image as RS-enabledprovides:rs_agent_type=right_link
23. ServerTemplate Library The RightScale Library holds published ServerTemplates, RightScripts, MultiCloud Images, and Macros Public templates are available to the world – searchable, browsable, importable… Company templates are available to your organization ISV CE templates can be public, paid templates shared with specific customers
24. ServerTemplate Showdown – Q4 2010 Winner for most Useful! Winner for Most Innovative! Set up a standalone OpenLDAP server or a Provider-Consumer pair… with backups! “Create your own CDN” by deploying these globally with load balancing.
26. Accelerator for Initial Deployment Human Capital “RightScale gave us the ability to get up and running quickly. It would have taken three to four times the man-hours to complete our initial deployment.” Mobile Platform Provider “Since we have been using RightScale as part of our solution, our new customer deployment time has gone from roughly a week to a day – a time savings of about 85%.” Internet Service Developer Initial Deployment Cloud APIs or Consoles RightScale Efficiency Gains 67-85% Time
27. Reduce Effort of Ongoing Maintenance “We would spend twice the time managing our cloud deployments without RightScale.” Research Institute "Starting with an existing deployment takes the time to deploy a new application to minutes, literally a reduction in cycle time.” Major pharmaceutical Human Capital Initial Deployment Ongoing Maintenance Cloud APIs or Consoles RightScale Efficiency Gains 67-85% Efficiency Gains 50-90% Time
29. Q&A / Getting Started Have a project, but need some help? Contact us: sales@rightscale.com or (866) 720-0208 Ready to get started? Sign up for our Free Edition:www.RightScale.com/Free Call us for a VIP trial of our paid editions http://support.rightscale.com/12-Guides/Getting_Started Need to learn more? TCO calculator:www.RightScale.com/tco-calculator Webinar archive: www.RightScale.com/webinars White papers: www.RightScale.com/whitepapers
31. Customer Example: Eli Lilly IT Group maintains one compliant “Golden Image” ServerTemplates encapsulate common scientific use cases IT publishes internally to appropriate teams Teams can access and launch approved templates themselves “Alongside the elastic cloud approach, Lilly is leveraging RightScale's infrastructure management interface and services against appliance/application stacks in a "vending machine" concept that allows self-service to infrastructure and up to three tiers of applications as needed.” 25 Top Information Managers: 2010 Dave Powers, Eli Lilly & Co.
32. ISV Example: IBM Encapsulating best practices for using IBM software on the cloud Lead generation for the IBM Sales team (upgrade from Community Edition) View aggregated usage data for all templates and revisions Working with RightScale on related Solution Packs
33. Developer Example: nginx+Apache Most Imported Submission (even though for paid only) Gain notoriety by showing your expertise Build a consulting business off shared best practices Winner for Most Popular!
34. More Winners! Winner for most Useful! Winner for Most Innovative! Set up a standalone OpenLDAP server or a Provider-Consumer pair… with backups! “Create your own CDN” by deploying these globally with load balancing.
35. Beyond Machine Images Problems With Machine Images Monolithic Not modular Opaque Difficult to inspect, audit, change, version control Large 90% is uninteresting, hard to locate interesting tidbits Ex: only the apache config file may be interesting Ex: new version of apache -> 1000’s of changed files
36. ServerTemplates Alternative Modular building block approach Configuration scripts (RightScripts) Chef cookbooks & recipes A ServerTemplate defines what goes onto a server Software configuration management Default server characteristics, e.g. EC2 instance type Monitoring & alert configuration It’s a template –> it can be instantiated many times Benefits ▬> Modular + Transparent + Dynamic
53. Dynamically Configure with ServerTemplates Create agile, automated, and predictable IT infrastructure Dynamically configure servers at run-time Abstract role and behavior from cloud infrastructure Modular and variable-based for easy maintenance Launch predictable infrastructure Portable
54. Agile = automate and benefit! From boot to production on auto-pilot Across different stacks & different clouds Auto-failover, auto-restart, auto-scale “Deploy faster, better, and cheaper than your competitors” Agile Deployment
55. Next Generation Server Architecture “Cloud-ready” servers More than just running a bundled image Dynamic vs. static configuration Leverage one server model across different deployments Replicable design Complete lifecycle management … version control RightScale ServerTemplates
Editor's Notes
check out Thorsten's Poll:-how many have maintained virtual machine images?-how many have used ServerTemplates before? Agenda:deep dive into ServerTemplates what they are, why they are awesome why they are not like competition - different from Chef/Puppet why would I use a ServerTemplate vs. an AMI / virtual machine imageServerTemplatesw/ MCI pair enable multi-cloud (we'll be going deep on this in 2 weeks)... best practices, manage them, version control them examples of what customers are doing with them ok "sounds great, how do I get started"...ok, "sounds great, how do I add to my existing AMI?" - RightLink webinarif I already have an AMI, how do I put a ServerTemplate on top of it? 10% of our running servers are not RightImages - ones our customers have brought explain compatibility release briefly touch on the fact that you can share them, point to supportal
For those of you who don’t know RightScale, we’ve been helping customers manage their cloud deployments for 4 years. Today, we have more than 30,000 users and have launched almost 2,000,000 servers in the cloud.RightScale is available on demand, so you don’t need to purchase any software in advance… and we have a very experienced professional services team ready to help you architect and deploy your applications to cloud infrastructure.Our customers vary in size and industry – from large multi-national media, insurance and pharmaceutical companies…. to online gaming and Web 2.0 startups. RightScale has managed some of the largest scaling events on the cloud – like Animoto’s ramping up 4000 servers within a few days at the launch of their service. Other customers regularly launch hundreds of servers at a time and are managing many thousands w/ just a few sysadmins. Which begs the question… how do they do it?
Most images are a machine image with a software stack. With RightScale, images are just the base OS, but the software stack is provisioned on the fly through template.Modular and variable-basedBuilt with re-usable scriptsServerTemplates and scripts are version controlledDeployments* can be archived
Problems With Machine ImagesMonolithicNot modularOpaqueDifficult to inspect, audit, change, version controlLarge90% is uninteresting, hard to locate interesting tidbitsEx: only the apache config file may be interestingEx: new version of apache -> 1000’s of changed files
“Cloud Aware” configuration vs. images or other configuration solutions which are generally only aware of the machine scope
(1st bullet) – for example, we use JasperServer here for reporting, and instead of modifying the install script with our license, I simple added a script at the end and overwrote the demo license with ours.(2nd bullet) -
I won’t make the assumption that all of you know what ServerTemplates are, so…
scalable server arrayoperational flexibilitydynamic configuration -> servers fit into deploymenttest&dev flexibilityshow 3 different configurations of same building blocksshow diffshow upgrade
audit entrieshistoryversion control
RightScale’s ServerTemplates innovate beyond “machine images,” providing dynamic configuration at run-time – no more post-launch configuration! When a server is launched using a ServerTemplate it automatically configures itself in the context of a deployment running on a specific cloud. It automatically obtains the needed IP addresses, gets the address of and access to storage, checks in with load balancers, submits monitoring data, and collaborates with other servers in the deployment. While some of what our ServerTemplates can do could be programmed into a machine image, RightScale ServerTemplates are designed to do it automatically – no more developing or maintaining custom machine images.To do this, we have designed our ServerTemplates to include:A Base Machine Image which is stripped down to the barest level - the operating system and some hooks to RightScale. RightScale maintains images for each OS and cloud combination. You just select the appropriate combination for your app. Second, Cloud Configurations configure all the cloud specific resources required such as the instance size, storage required, security group, and IP address. Again RightScale maintains these configurations for each cloud. You just need to select the appropriate options.Because of this layer of abstraction, you worry about the server’s role and function, not the underlying cloud-specific infrastructure. The server’s role and function is determined by a series of scripts which you add that can be executed when the server boots, as it is running, or when the server is decommissioned. You select or write the scripts to load the application software, libraries, data … whatever is needed. You can leverage our libraries of ServerTemplates or write your own. They can be written in a number of common scripting languages (shell, bash, perl, ruby, python) or you can use Chef cookbooks and recipes. ServerTemplates are modular and variable-based - all the scripts, executables, and variables are stored outside the template. This makes maintenance much easier; you just need to make one change and it is automatically reflected in all ServerTemplates that use that script, executable, or variable value. This also enables automation. As deployments change, servers reconfigure themselves and new servers launch in the context of the current deployment. We’ll talk more about this on the next slide. ServerTemplates launch servers with the same configuration every time, so you are assured that you get the same predictable result. Finally, because the underlying cloud infrastructure is abstracted from the role and function of the server, ServerTemplates are portable across cloud infrastructure providers.