This document discusses design patterns for high availability used by Amazon CloudFront. It describes four key patterns: 1) FoodTasting which involves deploying changes incrementally to a small subset of servers first, 2) handling flash crowds by caching content, serving only necessary content, and using scheduled auto scaling, 3) implementing defense in depth strategies like multi-implementation and sharding to reduce the blast radius of failures, and 4) protecting against time bombs by jittering deployments and configurations across servers to avoid homogeneous outages. The document provides examples of how these patterns have been implemented in CloudFront and AWS services.
AWS re:Invent 2016: Introduction to Managed Database Services on AWS (DAT307)Amazon Web Services
Which database is best suited for your use case? Should you choose a relational database or NoSQL or a data warehouse for your workload? Would a managed service like Amazon RDS, Amazon DynamoDB, or Amazon Redshift work better for you, or would it be better to run your own database on Amazon EC2? FanDuel has been running its fantasy sports service on Amazon Web Services (AWS) since 2012. You will learn best practices and insights from FanDuel’s successful migrations from self-managed databases on EC2 to fully-managed database services.
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...Amazon Web Services
Every day, the computing power of high-performance computing (HPC) clusters helps scientists make breakthroughs, such as proving the existence of gravitational waves and screening new compounds for new drugs. Yet building HPC clusters is out of reach for most organizations, due to the upfront hardware costs and ongoing operational expenses. Now the speed of innovation is only bound by your imagination, not your budget. Researchers can run one cluster for 10,000 hours or 10,000 clusters for one hour anytime, from anywhere, and both cost the same in the cloud. And with the availability of Public Data Sets in Amazon S3, petabyte scale data is instantly accessible in the cloud. Attend and learn how to build HPC clusters on the fly, leverage Amazon’s Spot market pricing to minimize the cost of HPC jobs, and scale HPC jobs on a small budget, using all the same tools you use today, and a few new ones too.
AWS re:Invent 2016: Global Traffic Management with Amazon Route 53 Traffic Fl...Amazon Web Services
As companies grow and expand their global footprint, it becomes increasingly critical to make systems highly available while also improving responsiveness to end-users. Companies are choosing to place their applications closer to end-users to improve performance, which introduces the complications of how to route end-user traffic to the most appropriate endpoints and how to most efficiently route traffic within internal systems.
In this session, learn how customers are using Route 53's Traffic Flow service for global traffic management, improving performance and availability for end users while reducing IT management cost. We will walk through how to use Traffic Flow to manager traffic to your applications' globally-distributed endpoints to optimize for constraints such as endpoint load, the health of your resources, geographic restrictions, and Internet latency. We'll demonstrate how you can configure multiple routing policies and take advantage of code control and versioning for easier management of your DNS and traffic management configuration.
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
High performance computing in the cloud is enabling high scale compute- and graphics-intensive workloads across industries, ranging from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications, in areas such as large-scale fluid and materials simulations, 3D content rendering, financial computing, and deep learning. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances (including P2), as well as highlighting customer and partner use-cases across industries.
Attendees learn about best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases: in particular, deep learning training and inference, large-scale simulations, and high performance data analytics.
AWS re:Invent 2016: Event Handling at Scale: Designing an Auditable Ingestion...Amazon Web Services
How does McGraw-Hill Education use the AWS platform to scale and reliably receive 10,000 learning events per second? How do we provide near-real-time reporting and event-driven analytics for hundreds of thousands of concurrent learners in a reliable, secure, and auditable manner that is cost effective? MHE designed and implemented a robust solution that integrates AWS API Gateway, AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Elasticsearch Service, Amazon DynamoDB, HDFS, Amazon EMR, Amazopn EC2, and other technologies to deliver this cloud-native platform across the US and soon the world. This session describes the challenges we faced, architecture considerations, how we gained confidence for a successful production roll-out, and the behind-the-scenes lessons we learned.
AWS re:Invent 2016: Beeswax: Building a Real-Time Streaming Data Platform on ...Amazon Web Services
Amazon Kinesis is a platform of services for building real-time, streaming data applications in the cloud. Customers can use Amazon Kinesis to collect, stream, and process real-time data such as website clickstreams, financial transactions, social media feeds, application logs, location-tracking events, and more. In this session, we first cover best practices for building an end-to-end streaming data applications using Amazon Kinesis. Next, Beeswax, which provides real-time Bidder as a Service for programmatic digital advertising, will talk about how they built a feature-rich, real-time streaming data solution on AWS using Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon EMR, and Apache Spark. Beeswax will discuss key components of their solution including scalable data capture, messaging hub for archival, data warehousing, near real-time analytics, and real-time alerting.
AWS re:Invent 2016: Advanced Tips for Amazon EC2 Networking and High Availabi...Amazon Web Services
In this session, we focus on designing for high availability, with evaluation criteria for using services and features such as Amazon Route 53, Elastic Load Balancing, Auto Scaling, route tables, network interfaces, device clustering, and the Transit VPC architecture. We also explore how to create highly available networking between regions as well as on-premises.
Amazon Web Services provides startups with the low cost, easy to use infrastructure needed to scale and grow any size business. Attend this session and learn how to migrate your startup to AWS and make the most out of the platform.
AWS re:Invent 2016: Introduction to Managed Database Services on AWS (DAT307)Amazon Web Services
Which database is best suited for your use case? Should you choose a relational database or NoSQL or a data warehouse for your workload? Would a managed service like Amazon RDS, Amazon DynamoDB, or Amazon Redshift work better for you, or would it be better to run your own database on Amazon EC2? FanDuel has been running its fantasy sports service on Amazon Web Services (AWS) since 2012. You will learn best practices and insights from FanDuel’s successful migrations from self-managed databases on EC2 to fully-managed database services.
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...Amazon Web Services
Every day, the computing power of high-performance computing (HPC) clusters helps scientists make breakthroughs, such as proving the existence of gravitational waves and screening new compounds for new drugs. Yet building HPC clusters is out of reach for most organizations, due to the upfront hardware costs and ongoing operational expenses. Now the speed of innovation is only bound by your imagination, not your budget. Researchers can run one cluster for 10,000 hours or 10,000 clusters for one hour anytime, from anywhere, and both cost the same in the cloud. And with the availability of Public Data Sets in Amazon S3, petabyte scale data is instantly accessible in the cloud. Attend and learn how to build HPC clusters on the fly, leverage Amazon’s Spot market pricing to minimize the cost of HPC jobs, and scale HPC jobs on a small budget, using all the same tools you use today, and a few new ones too.
AWS re:Invent 2016: Global Traffic Management with Amazon Route 53 Traffic Fl...Amazon Web Services
As companies grow and expand their global footprint, it becomes increasingly critical to make systems highly available while also improving responsiveness to end-users. Companies are choosing to place their applications closer to end-users to improve performance, which introduces the complications of how to route end-user traffic to the most appropriate endpoints and how to most efficiently route traffic within internal systems.
In this session, learn how customers are using Route 53's Traffic Flow service for global traffic management, improving performance and availability for end users while reducing IT management cost. We will walk through how to use Traffic Flow to manager traffic to your applications' globally-distributed endpoints to optimize for constraints such as endpoint load, the health of your resources, geographic restrictions, and Internet latency. We'll demonstrate how you can configure multiple routing policies and take advantage of code control and versioning for easier management of your DNS and traffic management configuration.
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
High performance computing in the cloud is enabling high scale compute- and graphics-intensive workloads across industries, ranging from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications, in areas such as large-scale fluid and materials simulations, 3D content rendering, financial computing, and deep learning. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances (including P2), as well as highlighting customer and partner use-cases across industries.
Attendees learn about best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases: in particular, deep learning training and inference, large-scale simulations, and high performance data analytics.
AWS re:Invent 2016: Event Handling at Scale: Designing an Auditable Ingestion...Amazon Web Services
How does McGraw-Hill Education use the AWS platform to scale and reliably receive 10,000 learning events per second? How do we provide near-real-time reporting and event-driven analytics for hundreds of thousands of concurrent learners in a reliable, secure, and auditable manner that is cost effective? MHE designed and implemented a robust solution that integrates AWS API Gateway, AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Elasticsearch Service, Amazon DynamoDB, HDFS, Amazon EMR, Amazopn EC2, and other technologies to deliver this cloud-native platform across the US and soon the world. This session describes the challenges we faced, architecture considerations, how we gained confidence for a successful production roll-out, and the behind-the-scenes lessons we learned.
AWS re:Invent 2016: Beeswax: Building a Real-Time Streaming Data Platform on ...Amazon Web Services
Amazon Kinesis is a platform of services for building real-time, streaming data applications in the cloud. Customers can use Amazon Kinesis to collect, stream, and process real-time data such as website clickstreams, financial transactions, social media feeds, application logs, location-tracking events, and more. In this session, we first cover best practices for building an end-to-end streaming data applications using Amazon Kinesis. Next, Beeswax, which provides real-time Bidder as a Service for programmatic digital advertising, will talk about how they built a feature-rich, real-time streaming data solution on AWS using Amazon Kinesis, Amazon Redshift, Amazon S3, Amazon EMR, and Apache Spark. Beeswax will discuss key components of their solution including scalable data capture, messaging hub for archival, data warehousing, near real-time analytics, and real-time alerting.
AWS re:Invent 2016: Advanced Tips for Amazon EC2 Networking and High Availabi...Amazon Web Services
In this session, we focus on designing for high availability, with evaluation criteria for using services and features such as Amazon Route 53, Elastic Load Balancing, Auto Scaling, route tables, network interfaces, device clustering, and the Transit VPC architecture. We also explore how to create highly available networking between regions as well as on-premises.
Amazon Web Services provides startups with the low cost, easy to use infrastructure needed to scale and grow any size business. Attend this session and learn how to migrate your startup to AWS and make the most out of the platform.
AWS re:Invent 2016: How Toyota Racing Development Makes Racing Decisions in R...Amazon Web Services
Toyota Racing Development (TRD) developed a robust and highly performant real-time data analysis tool for professional racing. In this talk, learn how we structured a reliable, maintainable, decoupled architecture built around Amazon DynamoDB as both a streaming mechanism and a long-term persistent data store. In racing, milliseconds matter and even moments of downtime can cost a race. You'll see how we used DynamoDB together with Amazon Kinesis and Kinesis Firehose to build a real-time streaming data analysis tool for competitive racing.
An overview of the Amazon ElastiCache managed service, with examples of how it can be used to increase performance, lower costs and augment other database services and databases to make things faster, easier and less expensive.
Deep Dive on Elastic File System - February 2017 AWS Online Tech TalksAmazon Web Services
Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.
Learning Objectives:
• Recognize why and when to use Amazon EFS
• Understand key technical/security concepts
• Learn how to leverage EFS’s performance
• See a demo of EFS in action
• Review EFS’s economics
AWS re:Invent 2016: Optimizing Network Performance for Amazon EC2 Instances (...Amazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features (enhanced networking, ENA, placement groups, etc.), and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-efficient manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
AWS re:Invent 2016: Big Data Architectural Patterns and Best Practices on AWS...Amazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)Amazon Web Services
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Get the Most Out of Amazon EC2: A Deep Dive on Reserved, On-Demand, and Spot ...Amazon Web Services
With Amazon EC2, you have the flexibility to mix-and-match purchasing models to suit your business needs. By combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models, you can optimize cost, grow your compute capacity and throughput, and enable new types of cloud computing applications. This presentation will guide you on how to achieve high performance and availability at the lowest TCO. We will explore how to best combine EC2's purchasing models across several common applications with immediately actionable takeaways.
AWS re:Invent 2016: Disrupting Big Data with Cost-effective Compute (CMP302)Amazon Web Services
Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session, AOL and Metamarkets will present lessons learned and best practices from scaling their big data workloads using popular platforms like Presto, Spark and Druid.
AOL will present how they process, store, and analyze big data securely and cost effectively using Presto. AOL achieved 70% savings by separating compute and storage, dynamically resizing clusters based on volume and complexity, and using AWS Lambda to orchestrate processing pipelines. Metamarkets, an industry leader in interactive analytics, will present how they leverage Amazon EBS to persist 185 TiB of (compressed) state to run Druid historical nodes on EC2 Spot instances. They will also cover how they run Spark for batch jobs to process 1-4 PiB of data across 200 B to 1 T events/day, saving more than 60% in costs.
AWS re:Invent 2016: Workshop: Migrating Microsoft Applications to AWS (ENT216)Amazon Web Services
In this workshop, we will explore the different approaches to migrating Microsoft applications to AWS. We’ll walk through the concerns and considerations to take into account while planning a migration, and learn how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. This session will use a case study format to dive deep into the details of how to successfully plan an application migration. To keep it real, teams will work through planning a SharePoint migration that integrates in with an existing Active Directory.
An insider view of some of the innovations that help make the AWS cloud unique. We will show examples of innovative service offerings and will continue to discuss data center, power, and networking innovations used across the AWS platform. Join this session and walk away with a deeper understanding of the underlying innovations powering the cloud.
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Amazon Web Services
From dev and test to large-scale HANA production deployments, enterprise usage of SAP on AWS is rapidly growing across all verticals and geographies. Gain insights on the AWS SAP offering and partnership and why a cloud first approach makes business, technical and financial sense for the numerous SAP solutions that are certified and ready to be deployed today.
AW Speaker: Michael Needham, Sr Mgr, Solutions Architecture - Amazon Web Services
AWS Webinar 201: Designing scalable, available & resilient cloud applicationsAmazon Web Services
Applications have become a vital aspect of everyday life in nearly every part of the world. No matter where we are, we interact with applications–whether that is by using our mobile phone, withdrawing money from an automated bank machine, or even by just shopping online. Because applications have become such an integral part of our daily lives, a great deal of work has to be done to ensure that these applications remain scalable, operational and available. Cloud-native applications are designed for failure, automation, horizontal scalability, anti-fragility, security, cost-optimization and resilience. Join this session to learn best practices on how to design and implement cloud-ready, or cloud-native applications and workloads.
Reasons to attend:
• Learn practical design patterns and anti-patterns, do's and don'ts.
• Techniques to improve your operational efficiency, cost-control, security posture, availability and scalability.
Who should attend
• Architects
• Developers
• System administrators
• DevOps practitioners
• CTOs
Learn tuning best practices for taking advantage of Amazon Redshift's columnar technology and parallel processing capabilities to improve your delivery of queries and improve overall database performance. This session explains how to migrate from existing data warehouses, create an optimized schema, efficiently load data, use work load management, tune your queries, and use Amazon Redshift's interleaved sorting features. Finally, learn how to use these best practices to give their entire organization access to analytic insights at scale.
Presented by: Alex Sinner, Solutions Architecture PMO, Amazon Web Services
Customer Guest: Luuk Linssen, Product Manager, Bannerconnect
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Amazon Aurora is a cloud-optimized relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The recently announced PostgreSQL-compatibility, together with the original MySQL compatibility, are perfect for new application development and for migrations from overpriced, restrictive commercial databases. In this session, we’ll do a deep dive into the new architectural model and distributed systems techniques behind Amazon Aurora, discuss best practices and configurations, look at migration options and share customer experience from the field.
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)Amazon Web Services
Algorithmia is a startup with a mission to make state of the art machine learning discoverable by everyone&emdash;they offer the largest algorithm marketplace in the world, with over 2500 algorithms supporting tens of thousands of application developers. Algorithma is the first company to make deep learning, one of the most conceptually difficult areas of computing, accessible to any company via microservices. In this session, you learn how this startup has selected and optimized Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), to create a flexible and scalable platform. They also share their architecture and best practices for getting any computationally-intensive application started quickly.
AWS re:Invent 2016: Best Practices for Data Warehousing with Amazon Redshift ...Amazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this session, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance. We also discuss how to design optimal schemas, load data efficiently, and use work load management.
Simple, Scalable and Highly Durable NAS in the Cloud – Amazon EFSAmazon Web Services
Come learn how to get started with a scalable file system with a simple interface for use with Amazon EC2 instances in the AWS Cloud. We’ll cover the basics and go through customer use cases to illustrate key features. We will walk through active demos that show you how EFS supports application workflows.
Scaling to millions of users with Amazon CloudFront - April 2017 AWS Online T...Amazon Web Services
Learning Objectives:
• Learn how to use CloudFront dynamic delivery features • See a live demo and learn how to take advantage of Cloud Front newest features
Traditionally, content delivery networks (CDNs) were designed to accelerate static content. Amazon CloudFront supports delivery of an entire website, including dynamic, static, streaming and interactive content using a global network of edge locations. CloudFront integrates with other AWS services that are built to scale massively. Together, the solution can automatically scale to millions of users by leveraging the global reach of CloudFront and the auto scaling capability of AWS platform. In this talk, we introduce you to various design patterns and best practices to build a massively scalable solution using CloudFront. We discuss how this scale can be achieved without compromising on availability, security or cost.
For the Computer Measurement Group workshop in San Diego November 2013. Also presented to a student class at UC Santa Barbara. What is Cloud Native. Capacity and Performance benchmarks. Cost Optimization Techniques - content co-developed with Jinesh Varia of AWS.
AWS re:Invent 2016: How Toyota Racing Development Makes Racing Decisions in R...Amazon Web Services
Toyota Racing Development (TRD) developed a robust and highly performant real-time data analysis tool for professional racing. In this talk, learn how we structured a reliable, maintainable, decoupled architecture built around Amazon DynamoDB as both a streaming mechanism and a long-term persistent data store. In racing, milliseconds matter and even moments of downtime can cost a race. You'll see how we used DynamoDB together with Amazon Kinesis and Kinesis Firehose to build a real-time streaming data analysis tool for competitive racing.
An overview of the Amazon ElastiCache managed service, with examples of how it can be used to increase performance, lower costs and augment other database services and databases to make things faster, easier and less expensive.
Deep Dive on Elastic File System - February 2017 AWS Online Tech TalksAmazon Web Services
Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.
Learning Objectives:
• Recognize why and when to use Amazon EFS
• Understand key technical/security concepts
• Learn how to leverage EFS’s performance
• See a demo of EFS in action
• Review EFS’s economics
AWS re:Invent 2016: Optimizing Network Performance for Amazon EC2 Instances (...Amazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features (enhanced networking, ENA, placement groups, etc.), and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-efficient manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
AWS re:Invent 2016: Big Data Architectural Patterns and Best Practices on AWS...Amazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)Amazon Web Services
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Get the Most Out of Amazon EC2: A Deep Dive on Reserved, On-Demand, and Spot ...Amazon Web Services
With Amazon EC2, you have the flexibility to mix-and-match purchasing models to suit your business needs. By combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models, you can optimize cost, grow your compute capacity and throughput, and enable new types of cloud computing applications. This presentation will guide you on how to achieve high performance and availability at the lowest TCO. We will explore how to best combine EC2's purchasing models across several common applications with immediately actionable takeaways.
AWS re:Invent 2016: Disrupting Big Data with Cost-effective Compute (CMP302)Amazon Web Services
Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session, AOL and Metamarkets will present lessons learned and best practices from scaling their big data workloads using popular platforms like Presto, Spark and Druid.
AOL will present how they process, store, and analyze big data securely and cost effectively using Presto. AOL achieved 70% savings by separating compute and storage, dynamically resizing clusters based on volume and complexity, and using AWS Lambda to orchestrate processing pipelines. Metamarkets, an industry leader in interactive analytics, will present how they leverage Amazon EBS to persist 185 TiB of (compressed) state to run Druid historical nodes on EC2 Spot instances. They will also cover how they run Spark for batch jobs to process 1-4 PiB of data across 200 B to 1 T events/day, saving more than 60% in costs.
AWS re:Invent 2016: Workshop: Migrating Microsoft Applications to AWS (ENT216)Amazon Web Services
In this workshop, we will explore the different approaches to migrating Microsoft applications to AWS. We’ll walk through the concerns and considerations to take into account while planning a migration, and learn how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. This session will use a case study format to dive deep into the details of how to successfully plan an application migration. To keep it real, teams will work through planning a SharePoint migration that integrates in with an existing Active Directory.
An insider view of some of the innovations that help make the AWS cloud unique. We will show examples of innovative service offerings and will continue to discuss data center, power, and networking innovations used across the AWS platform. Join this session and walk away with a deeper understanding of the underlying innovations powering the cloud.
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Amazon Web Services
From dev and test to large-scale HANA production deployments, enterprise usage of SAP on AWS is rapidly growing across all verticals and geographies. Gain insights on the AWS SAP offering and partnership and why a cloud first approach makes business, technical and financial sense for the numerous SAP solutions that are certified and ready to be deployed today.
AW Speaker: Michael Needham, Sr Mgr, Solutions Architecture - Amazon Web Services
AWS Webinar 201: Designing scalable, available & resilient cloud applicationsAmazon Web Services
Applications have become a vital aspect of everyday life in nearly every part of the world. No matter where we are, we interact with applications–whether that is by using our mobile phone, withdrawing money from an automated bank machine, or even by just shopping online. Because applications have become such an integral part of our daily lives, a great deal of work has to be done to ensure that these applications remain scalable, operational and available. Cloud-native applications are designed for failure, automation, horizontal scalability, anti-fragility, security, cost-optimization and resilience. Join this session to learn best practices on how to design and implement cloud-ready, or cloud-native applications and workloads.
Reasons to attend:
• Learn practical design patterns and anti-patterns, do's and don'ts.
• Techniques to improve your operational efficiency, cost-control, security posture, availability and scalability.
Who should attend
• Architects
• Developers
• System administrators
• DevOps practitioners
• CTOs
Learn tuning best practices for taking advantage of Amazon Redshift's columnar technology and parallel processing capabilities to improve your delivery of queries and improve overall database performance. This session explains how to migrate from existing data warehouses, create an optimized schema, efficiently load data, use work load management, tune your queries, and use Amazon Redshift's interleaved sorting features. Finally, learn how to use these best practices to give their entire organization access to analytic insights at scale.
Presented by: Alex Sinner, Solutions Architecture PMO, Amazon Web Services
Customer Guest: Luuk Linssen, Product Manager, Bannerconnect
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Amazon Aurora is a cloud-optimized relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The recently announced PostgreSQL-compatibility, together with the original MySQL compatibility, are perfect for new application development and for migrations from overpriced, restrictive commercial databases. In this session, we’ll do a deep dive into the new architectural model and distributed systems techniques behind Amazon Aurora, discuss best practices and configurations, look at migration options and share customer experience from the field.
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)Amazon Web Services
Algorithmia is a startup with a mission to make state of the art machine learning discoverable by everyone&emdash;they offer the largest algorithm marketplace in the world, with over 2500 algorithms supporting tens of thousands of application developers. Algorithma is the first company to make deep learning, one of the most conceptually difficult areas of computing, accessible to any company via microservices. In this session, you learn how this startup has selected and optimized Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), to create a flexible and scalable platform. They also share their architecture and best practices for getting any computationally-intensive application started quickly.
AWS re:Invent 2016: Best Practices for Data Warehousing with Amazon Redshift ...Amazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this session, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance. We also discuss how to design optimal schemas, load data efficiently, and use work load management.
Simple, Scalable and Highly Durable NAS in the Cloud – Amazon EFSAmazon Web Services
Come learn how to get started with a scalable file system with a simple interface for use with Amazon EC2 instances in the AWS Cloud. We’ll cover the basics and go through customer use cases to illustrate key features. We will walk through active demos that show you how EFS supports application workflows.
Scaling to millions of users with Amazon CloudFront - April 2017 AWS Online T...Amazon Web Services
Learning Objectives:
• Learn how to use CloudFront dynamic delivery features • See a live demo and learn how to take advantage of Cloud Front newest features
Traditionally, content delivery networks (CDNs) were designed to accelerate static content. Amazon CloudFront supports delivery of an entire website, including dynamic, static, streaming and interactive content using a global network of edge locations. CloudFront integrates with other AWS services that are built to scale massively. Together, the solution can automatically scale to millions of users by leveraging the global reach of CloudFront and the auto scaling capability of AWS platform. In this talk, we introduce you to various design patterns and best practices to build a massively scalable solution using CloudFront. We discuss how this scale can be achieved without compromising on availability, security or cost.
For the Computer Measurement Group workshop in San Diego November 2013. Also presented to a student class at UC Santa Barbara. What is Cloud Native. Capacity and Performance benchmarks. Cost Optimization Techniques - content co-developed with Jinesh Varia of AWS.
AWS re:Invent 2016: Accelerating the Transition to Broadcast and OTT Infrastr...Amazon Web Services
In this session, we show how to seamlessly transition VOD, live, and other advanced media workflows from on-premises deployments to the cloud. Cinépolis will provide an overview of their transcoding solution on AWS and how they have seamlessly expanded the solution increasing their customer reach. We'll show real world examples of the API calls used to configure and control all elements of the workflow including compression and origination. And how standard AWS services can be media-optimized with Elemental Technologies to form a robust live solution.
This Presentation has been exported from the recent Joint Webinar we had with Amazon Web Services. The overall webinar agenda:
1) AWS CloudFront Solving your Content Distribution needs with respect to Latency, Edge Locatons, POPs, On Demand & Live Streaming.
2) BlazeClan's Solution Stack Architecture Completing the CloudFront Story.
3) How this company with more than 15 Million Downloads benefited using CloudFront.
4) A comparative Study between Just-Dial on CloudFront Vs Rediff.
5) If You're already on CloudFront, You might want to check this Log analyzing Tool Cloudlytics to optimize your End User Performance!
AWS re:Invent 2016: Discovery Channel's Broadcast Workflows and Channel Origi...Amazon Web Services
Media delivery requirements are continually changing, driven by accelerating mobile, tablet, smart TV, and set-top technology advances. Broadcasters need agile solutions to the changing media and entertainment landscape that don't require multiyear projects with large upfront investments. In this session, we walk through Discovery Communications' migration of its broadcast playout and channel origination to AWS. Discovery Communications is a leader in nonfiction media, reaching more than 3 billion cumulative viewers in 220 countries and territories. Traditionally, broadcast origination for content delivered to telecommunications companies, cable TV, and satellite has existed only in on-premises data centers. In this session, we walk through Discovery's migration of broadcast playout supporting hundreds of channels worldwide to AWS. We show how Discovery has not only reduced their TCO but also has improved their agility by launching new channels on demand. We also walk through how channel origination is being deployed in a secure, automated fashion, and with a level of high availability that exceeds what is possible in a traditional data center.
AWS re:Invent 2016: Amazon CloudFront Flash Talks: Best Practices on Configur...Amazon Web Services
In this series of 15-minute technical flash talks you will learn directly from Amazon CloudFront engineers and their best practices on debugging caching issues, measuring performance using Real User Monitoring (RUM), and stopping malicious viewers using CloudFront and AWS WAF.
Maximizing Audience Engagement in Media Delivery (MED303) | AWS re:Invent 2013Amazon Web Services
Providing a great media consumption experience to customers is crucial to maximizing audience engagement. To do that, it is important that you make content available for consumption anytime, anywhere, on any device, with a personalized and interactive experience. This session explores the power of big data log analytics (real-time and batched), using technologies like Spark, Shark, Kafka, Amazon Elastic MapReduce, Amazon Redshift and other AWS services. Such analytics are useful for content personalization, recommendations, personalized dynamic ad-insertions, interactivity, and streaming quality.
This session also includes a discussion from Netflix, which explores personalized content search and discovery with the power of metadata.
This session is recommended for anyone interested in understanding how to use AWS big data services to develop real-time analytics applications. In this session, you will get an overview of a number of Amazon's big data and analytics services that enable you to build highly scaleable cloud applications that immediately and continuously analyze large sets of distributed data. We'll explain how services like Amazon Kinesis, EMR and Redshift can be used for data ingestion, processing and storage to enable real-time insights and analysis into customer, operational and machine generated data and log files. We'll explore system requirements, design considerations, and walk through a specific customer use case to illustrate the power of real-time insights on their business.
AWS Summit London 2014 | Dynamic Content Acceleration (300)Amazon Web Services
This session is recommended for people who are new to content distribution networks (CDNs) and have a need to decrease server load and speed up their website’s load time.
In this mid-level technical session you will be able to learn more about improving the performance of web sites and web applications using Amazon CloudFront and Amazon Router 53. Learn how to assess whether your web applications will benefit from caching and how to optimize the delivery of static and dynamic content to boost performance and improve your customers' experience in using your applications.
In this session, we explore different approaches to migrating Microsoft applications to AWS. We walk through important considerations when planning a migration, and we show how to develop and implement a migration plan to move applications from on-premises (or traditional hosting) to AWS. We use a case study format to dive deep into successfully planning an application migration. Participants work in teams to plan a SharePoint migration that integrates with an existing Active Directory.
AWS 201 - A Walk through the AWS Cloud: Introduction to Amazon CloudFrontAmazon Web Services
How to accelerate your online end user experience using Amazon CloudFront?
Today end users expect to be able to view media content anytime, anywhere and on any device. Amazon CloudFront is a web service for content delivery used to distribute content to end users around the globe with low latency, high data transfer speeds in a cost effective manner. Amazon CloudFront can be used to deliver your entire website, including dynamic, static, streaming, and interactive content using a global network of edge locations. Requests for your content are automatically routed to the nearest edge location, so content is delivered with the best possible performance.
Join this webinar to learn about Amazon CloudFront’s unique Content Delivery Network (CDN), how it works and the benefits it provides. We will walk you through common real life challenges our customers face and how AWS builds a solution that combines performance, pricing and a really simple set up.
Attend this session to find out about:
• Common business challenges and how Amazon CloudFront can resolve them
• Workloads that can benefit from Amazon CloudFront such as software downloads (large files, gaming), video streaming (live and VOD) and whole site delivery (web acceleration)
• Enhancing brand value, monetizing content and implementing security options e.g. DRM and DDOS
• Other AWS services (transcode, storage, compute, DNS) to architect with Amazon CloudFront to effectively drive costs down and simplify workflows
• Leveraging the AWS Partner Network to architect additional elements to your workflow like DRM and Reporting
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)Amazon Web Services
This mid-level technical session will provide an overview of the techniques that you can use to build high-scalabilty applications on AWS. Take a journey from 1 user to 10 million users and understand how your application's architecture can evolve and which AWS services can help as you increase the number of users that you serve.
We will introduce key concepts for a data lake and present aspects related to its implementation. Also discussing critical success factors, pitfalls to avoid operational aspects, and insights on how AWS enables a server-less data lake architecture.
Speaker: Sebastien Menant, Solutions Architect, Amazon Web Services
This Presentation is a call out to all in the Media Industry. We at Blazeclan have developed a complete Solution Stack powered by Amazon Web Services Elements designed to solve all your major Technology Challenges once your videos are created. We have talked about challenges and how we solve them in the following -
- Storage and Data Transfer
- Live Streaming
- Content Transcoding
- Content Distribution
- Usage Pattern Analysis
We have also spoken about how Blazeclan's feature product Cloudlytics can help in the entire content delivery cycle.
AWS provides multiple storage options to meet your varying needs. This presentation provides an overview of how AWS Cloud storage services can be used to support application development and delivery, backup, archive, disaster recovery, and virtualized compute.
AWS re:Invent 2016 was AWS’ largest event yet with over 32,000 attendees, 400 breakout sessions, and two keynotes of new product announcements. In this talk, we’ll explore the core themes of AWS re:Invent 2016 such as serverless and artificial intelligence. We will also drill down into several of the services and features unveiled including AWS Batch, AWS Shield, Aurora for Postgres, X-Ray, Polly, Lex, Rekognition, AWS Step Functions. Light appetizers and refreshments will be provided.
Similar to AWS re:Invent 2016: Design Patterns for High Availability: Lessons from Amazon CloudFront that You Can Replicate on AWS (CTD303) (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.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. What to Expect from the Session
• Learn about the design patterns for high availability of
Amazon CloudFront
• Learn how you can implement the patterns in your own
services or applications built on top of AWS
30. Design patterns for availability
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
31. Design pattern 1: FoodTaster
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
32. Risks to availability
Software Bugs
Surges in Volume Data Corruption
Time Bombs Dependent Services
FoodTaster
FoodTaster
34. Praegustator – DNS FoodTaster
DNS
name
server
DNS
name
server
Before
After
Orchestrator
1 2 3
DNS
name
server
50K
queries
Config
Daemons
Config
Daemons
35. $ ls
dns/ foodtaster/ landing/
$ ls foodtaster/
customer.data@ pop.data@
resolvers.data@ routing.data
$ ls dns/
customer.data pop.data
resolvers.data routing.data
Praegustator – DNS FoodTaster
36. Food Tasting in AWS
• Straightforward approach
• Deployments are
inexpensive, redeployments
more too
• Approaches like
CodeDeploy make life even
easier
37. Food Tasting in AWS
• Example - GeoIP Database
• Automatically pushed out to
every host
• Likely already have checks
• More to consider than just
invalid user configuration
38. Food Tasting in AWS
• Simple is better (Works for
Amazon CloudFront!)
• Assume we already use a
deployment system (e.g.,
AWS CodeDeploy)
• Complete in-situ tests
before returning complete
41. Food Tasting in AWS
• Acts as a quality gate
• Roll-back can be automatic
• Verification never affects
user facing traffic
42. Design pattern 2: Flash Crowds
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
53. Planning ahead
Typical examples:
• TV programs
• Live events (sports)
• Game releases
• Established traffic patterns
AWS Solutions:
Infrastructure Event
Management
Scheduled Auto Scaling
Group
Auto Scaling Integration
54. Schedules and the Big Red Button
• Integration of program
scheduling and Auto
Scaling
• Program scheduling
includes expected online
audience parameters
• Big red button
55. Schedules and the Big Red Button
• Integration of program
scheduling and Auto
Scaling
• Program scheduling
includes expected online
audience parameters
• Big red button
67. Serve only what you have to
• AJAX Includes
• CloudFront Cache Keys
68. Design pattern 3: Defense in Depth
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
69. Risks to availability
Data Corruption
Software Bugs
Surges in Volume
Time Bombs Dependent Services
Cache
Multi-impl
Sharding
70. Potential causes of application failure
Origin
CF POP
CF DNSResolver
3 HTTP
2 HTTP
1 DNS
71. Potential causes of application failure
Origin
CF POP
CF DNSResolver
3 HTTP
2 HTTP
1 DNS
72. Ideas to avoid crashing
• Comprehensive test coverage
• Simplify systems
Failures are going to happen.
How can we survive them when they do?
73. Ideas to survive crashing
• Reduce blast radius
• Reject input that previously made you crash
74. Ideas to survive crashing
• Reduce blast radius
• shard customers to separate processes
• Reject input that previously made you crash
75. Ideas to survive crashing
• Reduce blast radius
• shard customers to separate processes
• recover quickly
• Reject input that previously made you crash
76. Ideas to survive crashing
• Reduce blast radius
• shard customers to separate processes
• recover quickly
• multiple implementations
• Reject input that previously made you crash
78. DNS Multi-Impl
Should this be a fallback system?
• We want to know it always works
Place it in front of every DNS name server?
79. DNS Multi-Impl
Should this be a fallback system?
• We want to know it always works
Place it in front of every DNS name server?
• Would trade point of failure one for another
82. Math.abs() on the lowest 32-bit signed integer, -2^31, yields a negative number.
Leading to invalid DNS configuration.
CloudFront case study
Two's complement: flip bits and add 1.
Math.abs(Integer.MIN_VALUE):
-2^31 = 10000000 00000000 00000000 00000000
bits flipped = 01111111 11111111 11111111 11111111
+1 = 10000000 00000000 00000000 00000000 <= -2^31!
83. CloudFront case study
Protections in place:
1. Config process crashing in a loop
2. DNS name server defensively ignores an invalid index
3. FoodTaster crashes protect King DNS name server
4. DNS stripes reduce common failure paths
84. AWS solution
We can use a Load Balancer
with Layer-7 awareness
So we can have multiple
backend types across a fleet
85. AWS solution
Enabled through microservices
Reimplementing the entire
stack multiple times is a
difficult cost / efficiency
question
Specific high-risk services are
easier
86. AWS solution
Example: 2FA Platform
API (HTTP) front-end to a
back-end authentication
platform
Reasonably few SLOC
If it fails – no access to
platform
87. AWS solution
Example: 2FA Platform
API (HTTP) front-end to a
back-end authentication
platform
Reasonably few SLOC
If it fails – no access to
platform
Auto Scaling group Auto Scaling group
Elastic Load
Balancing
Python Java
Users
88. Design Pattern 4: Time Bomb Jitter Protection
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
101. AWS solution – within an Auto Scaling group
Amazon Linux AMI has
/var/run (and /var/tmp) on root
Ubuntu AMI uses tmpfs (10%
of RAM)
Jittering root volume size is
tricky within an ASG
102. AWS solution – within Auto Scaling
Consciously segregate your
files to a specified directory –
on a separate volume – with
jittering
Code will follow (check
SlideShare!)
Adds <10s to system startup
103. What else?
Time
• SSL Certificates
• Domain name registrations
• Deployment Schedules
• ???
106. Risks & Common Patterns
Software Bugs
Dependent Services
Multi-impl
Sharding
FoodTaster
Cache
Redundancies
Surges in Volume
Load dispersion
Data Corruption
FoodTaster
Time Bombs
Jitter
107. Lessons learned
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
Don’t rely on
validation in your
main application
Auto Scaling
Integration;
Caching; Selective
Serving
Homogeneity can
hurt
Implementation
striping can save
you
108. Lessons learned
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
Don’t rely on
validation in your
main application
Auto Scaling
Integration;
Caching;
Selective Serving
Homogeneity can
hurt
Implementation
striping can save
you
109. Lessons learned
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
Don’t rely on
validation in your
main application
Auto Scaling
Integration;
Caching; Selective
Serving
Homogeneity can
hurt
Implementation
striping can save
you
110. Lessons learned
Maximizing
availability with
Food Tasting
Flash Crowds
without scaling for
the peak
Defense in Depth
Strategies
Time Bomb Jitter
Protection
Don’t rely on
validation in your
main application
Auto Scaling
Integration;
Caching; Selective
Serving
Homogeneity can
hurt
Implementation
striping can save
you
113. Related Sessions
ARC309
Moving Mission Critical Apps from One Region to Multi-
Region active/active
ARC204
From Resilience to Ubiquity - #NetflixEverywhere
Global Architecture