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AWS re:Invent 2015

Amazon Web Services

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AWS re:Invent 2015

AWS re:Invent 2015

Amazon Web Services

3
Followers
1
Plays
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Latest Episodes

(NET308) Consolidating DNS Data in the Cloud with Amazon Route 53 | AWS re:Invent 2015

In this session, we show you how to use Amazon Route 53 to consolidate your DNS data and manage it centrally. Learn how to use Amazon Route 53 for public DNS and for private DNS in VPC, and also learn how to combine Amazon Route 53 private DNS with your own DNS infrastructure.

29 min2015 OCT 9
Comments
(NET308) Consolidating DNS Data in the Cloud with Amazon Route 53 | AWS re:Invent 2015

(MBL305) New: Getting Started with IceBreaker - Shadows and Rules | AWS re:Invent 2015

We are collecting tons of sensor data from billions of devices. How do you get the value from your IoT data sources? In this session, we will explore different strategies for collecting and ingesting data, understanding its frequency, and leveraging the potential of the cloud to analyze and predict trends and behavior to get most out of your deployed devices.

62 min2015 OCT 9
Comments
(MBL305) New: Getting Started with IceBreaker - Shadows and Rules | AWS re:Invent 2015

(ISM318) Measuring Software Quality w/ Rainforest QA & Mechanical Turk | AWS re:Invent 2015

Customer demand and competitive landscapes mean its not okay to move fast and break things. Whether you are following Agile, Continuous Integration (CI) or Continuous Deployment (CD), you cant afford to limit your releases, skip quality assurance (QA) testing, or let your customers beta-test your products. You need an on-demand QA platform that moves at the speed of development. Come learn how Rainforest leverages Mechanical Turk to build its network of 50,000 QA testers around the world and deliver on-demand QA through its API. We are able to deliver QA tests in 30 minutes that dont slow down development.

35 min2015 OCT 9
Comments
(ISM318) Measuring Software Quality w/ Rainforest QA & Mechanical Turk | AWS re:Invent 2015

(ISM305) Framework: Create Cloud Strategy & Accelerate Results | AWS re:Invent 2015

Dive deep into specific, common use cases for enterprise customers while stepping through the process of building a cloud and IT transformation strategy leveraging the AWS Cloud Adoption Framework. We will build a prescriptive roadmap for a cloud journey leveraging best practices, common techniques, and real-world examples from other AWS successes.

38 min2015 OCT 9
Comments
(ISM305) Framework: Create Cloud Strategy & Accelerate Results | AWS re:Invent 2015

(CMP310) Building Robust Data Processing Pipelines Using Containers and Spot Instances | AWS re:Invent 2015

It's difficult to find off-the-shelf, open-source solutions for creating lean, simple, and language-agnostic data-processing pipelines for machine learning (ML). This session shows you how to use Amazon S3, Docker, Amazon EC2, Auto Scaling, and a number of open source libraries as cornerstones to build one. We also share our experience creating elastically scalable and robust ML infrastructure leveraging the Spot instance market.

34 min2015 OCT 9
Comments
(CMP310) Building Robust Data Processing Pipelines Using Containers and Spot Instances | AWS re:Invent 2015

(ARC303) Pure Play Video OTT: A Microservices Architecture | AWS re:Invent 2015

An end-to-end, over-the-top (OTT) video system is built of many interdependent architectural tiers, ranging from content preparation, content delivery, and subscriber and entitlement management, to analytics and recommendations. This talk will provide a detailed exploration of how to architect a media platform that allows for growth, scalability, security, and business changes at each tier, based on real-world experiences delivering over 100 Gbps of concurrent video traffic with 24/7/365 linear TV requirements. Finally, learn how Verizon uses AWS, including Amazon Redshift and Amazon Elastic MapReduce, to power its recently launched mobile video application Go90. Using a mixture of AWS services and native applications, we address the following scaling challenges: Content ingest, preparation, and distribution Operation of a 24x7x365 Linear OTT Playout Platform Common pitfalls with transcode and content preperation Multi-DRM and packaging to allow cross platform playback Efficient del...

54 min2015 OCT 9
Comments
(ARC303) Pure Play Video OTT: A Microservices Architecture | AWS re:Invent 2015

(STG304) Deploying a Disaster Recovery Site on AWS | AWS re:Invent 2015

In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.

46 min2015 OCT 9
Comments
(STG304) Deploying a Disaster Recovery Site on AWS | AWS re:Invent 2015

(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR | AWS re:Invent 2015

Do you want to analyze AWS CloudTrail events within minutes of them arriving in your Amazon S3 bucket? Would you like to learn how to run expressive queries over your CloudTrail logs? We will demonstrate Apache Spark and Apache Spark Streaming as two tools to analyze recent and historical security logs for your accounts. To do so, we will use Amazon Elastic MapReduce (EMR), your logs stored in S3, and Amazon SNS to generate alerts. With these tools at your fingertips, you will be the first to know about security events that require your attention, and you will be able to quickly identify and evaluate the relevant security log entries.

57 min2015 OCT 9
Comments
(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR | AWS re:Invent 2015

(NET302) Delivering a DBaaS Using Advanced AWS Networking | AWS re:Invent 2015

Delivering a managed database-as-a-service in a highly secure and simple way can be a challenging problem, especially when your customers have many different network and access requirements. We went through many iterations trying to find a model that was easy to support, but also gave our customers control and visibility. In this session, we explore the incredibly flexible AWS networking solutions that we have used to deliver our services to customers with wildly different architectures. This is an advanced session for those who want deliver services into complex or divergent network architectures, while still maintaining control of the infrastructure that your services are deployed on.

31 min2015 OCT 9
Comments
(NET302) Delivering a DBaaS Using Advanced AWS Networking | AWS re:Invent 2015

(MBL203) Drones to Cars: Connecting the Devices in Motion to the Cloud | AWS re:Invent 2015

Whether you are an automobile manufacturer, dispatch service, or drone manufacturer, your world is getting smarter. AWS provides all the building blocks required to build next-generation, Internet-connected devices that are in motion. In this session, we will share some best practices and architectural patterns device manufacturers can leverage for any connected device that is in motion to reliably and securely connect to AWS.

49 min2015 OCT 9
Comments
(MBL203) Drones to Cars: Connecting the Devices in Motion to the Cloud | AWS re:Invent 2015

Latest Episodes

(NET308) Consolidating DNS Data in the Cloud with Amazon Route 53 | AWS re:Invent 2015

In this session, we show you how to use Amazon Route 53 to consolidate your DNS data and manage it centrally. Learn how to use Amazon Route 53 for public DNS and for private DNS in VPC, and also learn how to combine Amazon Route 53 private DNS with your own DNS infrastructure.

29 min2015 OCT 9
Comments
(NET308) Consolidating DNS Data in the Cloud with Amazon Route 53 | AWS re:Invent 2015

(MBL305) New: Getting Started with IceBreaker - Shadows and Rules | AWS re:Invent 2015

We are collecting tons of sensor data from billions of devices. How do you get the value from your IoT data sources? In this session, we will explore different strategies for collecting and ingesting data, understanding its frequency, and leveraging the potential of the cloud to analyze and predict trends and behavior to get most out of your deployed devices.

62 min2015 OCT 9
Comments
(MBL305) New: Getting Started with IceBreaker - Shadows and Rules | AWS re:Invent 2015

(ISM318) Measuring Software Quality w/ Rainforest QA & Mechanical Turk | AWS re:Invent 2015

Customer demand and competitive landscapes mean its not okay to move fast and break things. Whether you are following Agile, Continuous Integration (CI) or Continuous Deployment (CD), you cant afford to limit your releases, skip quality assurance (QA) testing, or let your customers beta-test your products. You need an on-demand QA platform that moves at the speed of development. Come learn how Rainforest leverages Mechanical Turk to build its network of 50,000 QA testers around the world and deliver on-demand QA through its API. We are able to deliver QA tests in 30 minutes that dont slow down development.

35 min2015 OCT 9
Comments
(ISM318) Measuring Software Quality w/ Rainforest QA & Mechanical Turk | AWS re:Invent 2015

(ISM305) Framework: Create Cloud Strategy & Accelerate Results | AWS re:Invent 2015

Dive deep into specific, common use cases for enterprise customers while stepping through the process of building a cloud and IT transformation strategy leveraging the AWS Cloud Adoption Framework. We will build a prescriptive roadmap for a cloud journey leveraging best practices, common techniques, and real-world examples from other AWS successes.

38 min2015 OCT 9
Comments
(ISM305) Framework: Create Cloud Strategy & Accelerate Results | AWS re:Invent 2015

(CMP310) Building Robust Data Processing Pipelines Using Containers and Spot Instances | AWS re:Invent 2015

It's difficult to find off-the-shelf, open-source solutions for creating lean, simple, and language-agnostic data-processing pipelines for machine learning (ML). This session shows you how to use Amazon S3, Docker, Amazon EC2, Auto Scaling, and a number of open source libraries as cornerstones to build one. We also share our experience creating elastically scalable and robust ML infrastructure leveraging the Spot instance market.

34 min2015 OCT 9
Comments
(CMP310) Building Robust Data Processing Pipelines Using Containers and Spot Instances | AWS re:Invent 2015

(ARC303) Pure Play Video OTT: A Microservices Architecture | AWS re:Invent 2015

An end-to-end, over-the-top (OTT) video system is built of many interdependent architectural tiers, ranging from content preparation, content delivery, and subscriber and entitlement management, to analytics and recommendations. This talk will provide a detailed exploration of how to architect a media platform that allows for growth, scalability, security, and business changes at each tier, based on real-world experiences delivering over 100 Gbps of concurrent video traffic with 24/7/365 linear TV requirements. Finally, learn how Verizon uses AWS, including Amazon Redshift and Amazon Elastic MapReduce, to power its recently launched mobile video application Go90. Using a mixture of AWS services and native applications, we address the following scaling challenges: Content ingest, preparation, and distribution Operation of a 24x7x365 Linear OTT Playout Platform Common pitfalls with transcode and content preperation Multi-DRM and packaging to allow cross platform playback Efficient del...

54 min2015 OCT 9
Comments
(ARC303) Pure Play Video OTT: A Microservices Architecture | AWS re:Invent 2015

(STG304) Deploying a Disaster Recovery Site on AWS | AWS re:Invent 2015

In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.

46 min2015 OCT 9
Comments
(STG304) Deploying a Disaster Recovery Site on AWS | AWS re:Invent 2015

(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR | AWS re:Invent 2015

Do you want to analyze AWS CloudTrail events within minutes of them arriving in your Amazon S3 bucket? Would you like to learn how to run expressive queries over your CloudTrail logs? We will demonstrate Apache Spark and Apache Spark Streaming as two tools to analyze recent and historical security logs for your accounts. To do so, we will use Amazon Elastic MapReduce (EMR), your logs stored in S3, and Amazon SNS to generate alerts. With these tools at your fingertips, you will be the first to know about security events that require your attention, and you will be able to quickly identify and evaluate the relevant security log entries.

57 min2015 OCT 9
Comments
(SEC403) Diving into AWS CloudTrail Events w/ Apache Spark on EMR | AWS re:Invent 2015

(NET302) Delivering a DBaaS Using Advanced AWS Networking | AWS re:Invent 2015

Delivering a managed database-as-a-service in a highly secure and simple way can be a challenging problem, especially when your customers have many different network and access requirements. We went through many iterations trying to find a model that was easy to support, but also gave our customers control and visibility. In this session, we explore the incredibly flexible AWS networking solutions that we have used to deliver our services to customers with wildly different architectures. This is an advanced session for those who want deliver services into complex or divergent network architectures, while still maintaining control of the infrastructure that your services are deployed on.

31 min2015 OCT 9
Comments
(NET302) Delivering a DBaaS Using Advanced AWS Networking | AWS re:Invent 2015

(MBL203) Drones to Cars: Connecting the Devices in Motion to the Cloud | AWS re:Invent 2015

Whether you are an automobile manufacturer, dispatch service, or drone manufacturer, your world is getting smarter. AWS provides all the building blocks required to build next-generation, Internet-connected devices that are in motion. In this session, we will share some best practices and architectural patterns device manufacturers can leverage for any connected device that is in motion to reliably and securely connect to AWS.

49 min2015 OCT 9
Comments
(MBL203) Drones to Cars: Connecting the Devices in Motion to the Cloud | AWS re:Invent 2015
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