AWS re:Invent 2016: From Dial-Up to DevOps - AOL’s Migration to the Cloud (DEV202)

•

2 likes•741 views

This document summarizes AOL's migration from managing their own data centers to using AWS cloud services. It discusses how AOL moved to a DevOps model with a focus on culture, automation, measurement, and sharing. Key points include establishing an agile culture that prioritized teamwork and initiative over tools. Automation replaced manual processes to improve flexibility and speed. Monitoring metrics helped optimize performance without guesswork. Sharing data across teams removed silos and empowered self-sufficiency. Migrating infrastructure to AWS' cloud improved scalability while reducing costs and hardware management burdens.

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Alan Milford, Systems Architect, AOL Platforms
Ilan Rabinovitch, Director of Technical Community, Datadog
November 30, 2016
DEV202
From Dial-up to DevOps
AOL's Migration to the Cloud

Apple Lisa - Victor R. Ruiz - https://flic.kr/p/AoE6LK

USRobotics Sportster 14,400 modem - Ramon Machado - http://bit.ly/2cn8FKc

Online advertising
across desktop,
mobile, and TV

What that looks like internally
• Many complex systems
• High traffic, low latency response
• Downtime isn't an option
• Every transaction has a cost and value

Culture
Automation
Measurement
Sharing
John Willis (@botchagalupe), Damon Edwards (@damonedwards)

Starting a new team
• New advertising product
• New R&D engineering team
• New (untested) software
• No dedicated QA

Moving into production
• Rough estimate of full traffic load
• Look at current CPU/memory/IO
• Do some maths
• Purchase appropriate hardware

Made it to production
• Everything was stable
• Traffic was steady
• System worked as expected
• Product owners & engineers were happy

Everything's running smoothly
Traffic
Time

What happened?
• Complete data centre outage (not our facility)
• Servers powered up in random order
• Data corruption
• Recovery time was out of our hands

"Success consists of going from failure to
failure without loss of enthusiasm."
Winston Churchill

Making our teams better
• Need to speed up development cycle
• Agile project management
• Remove layers of communication
• Remove manual steps

Agile is changing thinking
DevOps is changing doing

Culture
• People and process first
• Teamwork is key
• Initiative to find solutions
• More important than any tool

Automation
• Replaced people with shell scripts*
• Scaled with code rather than people
• Automated build and deploys
• Made things virtual not physical
* I guarantee someone here is wearing this t-shirt

Internal private cloud
• Improved flexibility
• Management all in-house
• Development speed increased
• Parity between environments

Internal private cloud
• Strong internal security
• Still limited by capacity
• Provisioning more hypervisors is difficult
• Responsible for own geo distribution

Datacenter Backup batteries - Jelson25 - http://bit.ly/2cwldN5

Building on AWS
• Capital expense to variable expense
• No need to worry about hardware refresh
• Lead time to spin up reduced
• Time to deployment reduced

Building on AWS
• Open flexibility to engineers
• Much quicker to try something new
• Iteration cycles speed up
• No waiting on hardware

Collecting data is cheap;
not having it when you
need it can be expensive

Measurement/metrics
• If it moves, measure it
• How is the application performing?
• Are things getting better? Or worse?
• Remove the guesswork from decisions

Sharing
• Encourage teams to share their data
• Help people to solve their own issues
• Everyone plays a part in getting to production
• Play nice with others

What did we learn?
• Push hard to refactor applications
• Changing mindsets is harder than changing tech
• Empower people to make their own decisions
• Give them the data to do it

This is a learning process
• Don't search for a silver bullet
• Data is key to knowing what's going on
• Understand workloads
• You wouldn't heat your home all day in summer

Build a culture that can
adapt quickly to change

Process should make life
easier, not be a checklist

Don't get complacent;
technology moves quicker
than people

Johnson & Johnson is a global health care leader with 270 operating companies in 60 countries. Operating at this scale requires a decentralized model that supports the autonomy of the different companies under the J&J umbrella, while still allowing knowledge and infrastructure frameworks to be shared across the different businesses. To address this problem, J&J created an Amazon VPC, which provides simplified architecture patterns that J&J's application teams leveraged throughout the company using a self-service model while adhering to critical internal controls. Hear how J&J leveraged Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and Amazon Kinesis to develop these architecture patterns for various use cases, allowing J&J's businesses to use AWS for its agility while still adhering to all internal policies automatically. Learn how J&J uses this model to build advanced analytic platforms to ingest large streams of structured and unstructured data, which minimizes the time to insight in a variety of areas, including physician compliance, bioinformatics, and supply chain management.

AWS re:Invent 2016: Move your desktops to the cloud with Amazon WorkSpaces (B...

Amazon Web Services

Organizations today are striving to provide a more flexible environment for their end users, allowing them access to corporate resources from any device, anytime. At the same time, securing corporate information remains a top priority for CIOs. Traditional solutions such as Virtual Desktop Infrastructure (VDI) offer worker flexibility and security benefits, but they are expensive to purchase, complex to deploy, and they don’t scale well. In this session, you’ll learn how Amazon WorkSpaces combines the benefits of VDI with the economics of the cloud to deliver better value for organizations. We’ll show you just how easy it is to get started, and talk through how customers are using Amazon WorkSpaces today.

AWS re:Invent 2016: Attitude of Iteration (ARC209)

Amazon Web Services

In today’s world, technology changes at a breakneck speed. What was new this morning is outdated at lunch. Working in the AWS Cloud is no different. Every week, AWS announces new features or improvements to current products. As AWS technologists, we must assimilate these new technologies and make decisions to adopt, reject, or defer. These decisions can be overwhelming: we tend to either reject everything and become stagnant, or adopt everything and never get our project out the door. In this session we will discuss the attitude of iteration. The attitude of iteration allows us to face the challenges of change without overwhelming our technical teams with a constant tug-o-war between implementation and improvement. Whether you’re an architect, engineer, developer, or AWS newbie, prepare to laugh, cry, and commiserate as we talk about overcoming these challenges. Session sponsored by Rackspace.

Cost Optimization at Scale

Amazon Web Services

Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.

AWS re:Invent 2016: Extra, Extra! News UK Saves Money with Hourly Amazon Work...

Amazon Web Services

Amazon WorkSpaces is a desktop computing service that runs in the cloud, and now supports both monthly and hourly billing. In this session, we help you determine the right billing method for your use cases, show you how to provision Amazon WorkSpaces for monthly or hourly billing, and work through a real-world example. News UK, a media organization that owns a stable of news and media brands, describes how they use Amazon WorkSpaces to solve a unique business need.

AWS Innovation at Scale – Rodney Haywood

Amazon Web Services

This session, gives an insider view of some the innovations that help make the AWS Cloud unique. He will show examples of AWS networking innovations from the interregional network backbone, through custom routers and networking rotocol stack, all the way down to individual servers. He will show examples from AWS server hardware, storage, and power distribution and then, up the stack, in high scale streaming data processing.

AWS APAC Webinar Week - Maintaining Performance & Availability While Lowering...

Amazon Web Services

AWS provides you several pricing options that can help you significantly reduce your overall IT cost, including On-Demand Instances, Spot Instances, and Reserved Instances. This session covers high-level architectures and when to use and not to use each of the pricing models for components of those architectures. We walk through several customer examples to illustrate when to use each pricing option. Additionally, we walk through tools that may be useful to determine when to use each pricing model. This session is aimed at technically savvy managers and engineers who need to reduce their cloud spending

How do you optimize costs when migrating user-facing services from a proprietary data center to the Cloud? When Intuit faced this thorny question, they formed a cost-optimization team, built visibility into cost and usage data, decided when to use automation, and developed a culture of cost consciousness. Who do you select for this cross-functional team? How do you empower the team to reach across business units? Which metrics should you focus on first? How do you align your organization with this cause? Which roadblocks and issues could you face along the way? How will you create an internal chargeback model? Hear from the Intuit team about their journey, learn from the challenges that they overcame, and hear about the results they've achieved.

AWS re:Invent 2016: AWS Database State of the Union (DAT320)

Amazon Web Services

Raju Gulabani, vice president of AWS Database Services (AWS), discusses the evolution of database services on AWS and the new database services and features we launched this year, and shares our vision for continued innovation in this space. We are witnessing an unprecedented growth in the amount of data collected, in many different shapes and forms. Storage, management, and analysis of this data requires database services that scale and perform in ways not possible before. AWS offers a collection of such database and other data services like Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR to process, store, manage, and analyze data. In this session, we provide an overview of AWS database services and discuss how our customers are using these services today.

Migrating enterprise workloads to AWS Tom Laszewski

Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...

Amazon Web Services

• Understand the issues with commercial database pricing and licensing. • Learn about the benefits of Amazon Aurora for improving performance and decreasing costs. • See how AWS Database Migration Service helps with your migration. • See how AWS Schema Conversion Tool makes conversions simple and quick. If you’re looking to improve application performance and availability and decrease database costs, it’s time to replace your expensive Oracle databases with an open-source compatible solution. Amazon Aurora is a MySQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. You'll learn how to use the AWS Database Migration Service to migrate your data with minimal downtime, and how the AWS Schema Conversion Tool converts your Oracle schemas and procedural code into Amazon Aurora. We’ll follow with a quick demo of the entire process.

AWS re:Invent 2016: Preparing for a Large-Scale Migration to AWS (ENT212)

Amazon Web Services

AWS re:Invent 2016: Turner's cloud native media supply chain for TNT, TBS, Ad...

Amazon Web Services

As Turner continues to make the transition from a traditional broadcast organization to a consumer-centric, data-driven media company, we are being challenged to re-think our approach to content supply. There is a need to achieve new levels of agility, flexibility and scalability to meet the rapidly evolving demands of our top media brands - including TBS, TNT, Cartoon Network, Adult Swim and CNN. To that end, we are transitioning the infrastructure that acquires, processes and distributes media for consumer-facing systems to the cloud. At the core of this environment is our Supply Chain Management application. The SCM app provides business and technical process management via an HTML based UI framework, State Machine, Rules Engine, Cost Model, Forms Service. We took advantage of several AWS specific services, including Lambda, S3, Dynamo DB, SNS, Elastic, Cloud Formation and Code Commit. The entire system is instance-less with all application code running in either the browser or within Lambda's. To ease development and debugging we created a method to run all JS libraries in the browser, switching to Lambda when we deploy with Code Commit. Cloud media processing infrastructure is BEING created on demand via an integration with SDVI. The SDVI and SCM apps exchange events and data via SNS and S3.

Simplify Your Database Migration to AWS | AWS Public Sector Summit 2016

Amazon Web Services

Migrating a database from one platform to another has been a pain point for many organizations for a long time. Often times, it involves weeks of careful planning and a migration strategy to minimize impact to the business. Many organizations are locked into a database platform even when there are better options available because they don’t want to take up the migration challenge. AWS Data Migration Service helps with live migration of databases across homogenous or heterogeneous database platforms. The service supports homogenous migrations such as Oracle to Oracle, and also heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. The AWS Schema Conversion Tool is a desktop application that makes heterogeneous database migrations easy by automatically converting the source database schema to a format compatible with the target database. The tool helps with conversion of a database schema from an Oracle or Microsoft SQL Server database to an Amazon RDS MySQL DB instance or an Amazon Aurora DB cluster. Join us in this session to explore how these capabilities can simplify your database migration challenge.

Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...

Amazon Web Services

Learning Objectives: - Create an Amazon Relational Database Service (RDS) SQL Server instance - Connect to the RDS instance using Microsoft SQL Server Management Studio - Import data into the database You can use AWS services like Amazon EC2 and Amazon RDS to quickly build, deploy, scale and manage your SQL Server databases, which helps you build more agile applications. This session will cover best practices for running SQL Server on AWS. We will discuss how to choose between Amazon EC2 and Amazon RDS. The lab portion of this webinar will lead you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS) and connect it to Microsoft SQL Server Management Studio. Join the hands-on-lab webinar and receive access to valuable online training. After the webinar, you can take your learning even further with free access to advanced and expert-level labs.

AWS re:Invent 2016: Best practices for running enterprise workloads on AWS (E...

Amazon Web Services

Fortune 500 companies are increasingly using cloud services to run enterprise workloads to improve security, increase agility, and enable scale. Learn how OpenEye is running their AWS-native platform and workflow engine to support collaboration and data sharing at large pharmaceutical companies like Pfizer. In this session, OpenEye will share cloud best practiced around security controls, cross-departmental collaboration across the enterprise, and agility at scale. Attendees will gain practical tips for using AWS in the enterprise and healthcare industries.

NEW LAUNCH! Delivering Powerful Graphics-Intensive Applications from the AWS ...

Amazon Web Services

AWS provides unprecedented computational power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. Together, Amazon EC2 Elastic GPUs and Amazon AppStream provide the capabilities necessary for end users to access and run these applications. In this session, you learn more about Elastic GPUs and Amazon AppStream, and how you can run graphics-intensive applications on AWS. You also hear from ANSYS, a leader in engineering simulation software, and why they are moving the ANSYS Enterprise Cloud to Elastic GPUs and Amazon AppStream to deliver a better experience for customers.

Deploying Amazon WorkSpaces at Scale with Johnson & Johnson

Amazon Web Services

Migration Recipes for Success - AWS Summit Cape Town 2017

Amazon Web Services

Now that you have earmarked workloads for migration, it's time to look at the various tools and methodologies that are available to help customers shift applications to AWS. This session highlights some of the key AWS tools, services and approaches that organisations are using to successfully migrate to the cloud. AWS Speaker: Sven Hansen, Solution Architect - Amazon Web Services Customer Speaker: Pieter Breed – Core Platform Engineer Zoona

Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...

Amazon Web Services

Learning Objectives: -Understand key EC2 Spot Instances concepts and common usage patterns for maximum scale and cost optimization in the cloud - Leverage lower compute costs to better compete on price and, as a result, winning more business - Leverage the full scale of the AWS cloud for faster results In this session, we will look at building cost-effective on-demand and live streaming solutions on AWS to support 360 and immersive media experiences using Amazon EC2 Spot Instances, AWS Elastic Load Balancing, Amazon S3, Amazon Simple Queuing Service (SQS), Amazon CloudFront, and the Amazon EC2 Container Service (ECS).

Deep Dive On Amazon Redshift

Amazon Web Services

Application Migrations at Scale

Amazon Web Services

This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session.  After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.

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.

Running Microsoft Workloads on AWS

Amazon Web Services

Deploy, scale, and manage your Microsoft workloads on AWS. We start our session by discussing why customers want to deploy Microsoft Windows applications on AWS as a cloud platform. We talk about reference architectures and best practices for implementing Microsoft products and technologies including Active Directory, Remote Desktop Gateway, Exchange, SharePoint, and Lync in the AWS cloud. We conclude with best practices for managing and monitoring Microsoft technologies in the AWS cloud. Speaker: Andy Reay, Solutions Architect, Amazon Web Services

WKS407 Wild Rydes Takes Off – The Dawn of a New Unicorn

Amazon Web Services

Wild Rydes (www.wildrydes.com) needs your help! With fresh funding from its seed investors, Wild Rydes is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3. Join this workshop to hop on the rocket ship! To complete this workshop, you'll need: Your laptop AWS Account AWS Command Line Interface Google Chrome git Text Editor

AWS re:Invent 2016: How Aptean uses AWS Marketplace storage solutions to back...

Amazon Web Services

Aptean is a global enterprise software provider that uses AWS as the core of its infrastructure because it’s a solution that reliably backs up Aptean’s Amazon EC2 instances. Come to this session to learn what happened when Aptean needed a highly reliable, full backup solution that also allowed for ease of scale, automation, and instant recovery in case of a failure. In this session, you’ll learn how CPM helps take full advantage of AWS Snapshots, thus adding a management layer to control retention, automate recoveries, and allow live, application-aware backup of both Windows and Linux instances. Aptean will also why they selected N2W Cloud Protection Manager (CPM) in AWS Marketplace as its backup solution extending AWS services and supporting their diverse customer base. By the end of the session, you’ll have learned the details of how CPM helps Aptean properly manage its snapshots and recoveries, ensuring a resilient deployment that meets Aptean’s business continuity goals.

Getting Started with Big Data and HPC in the Cloud - August 2015

Amazon Web Services

How can you use Big Data to grow your business and discover new opportunities? When organizations effectively capture, analyze, visualize and apply big data insights to their business goals, they differentiate themselves from their competitors and outperform them in terms of operational efficiency and the bottom line. With Amazon Web Services, businesses and researchers can easily fulfill their high performance computing (HPC) requirements with the added benefit of ad-hoc provisioning, pay-as-you-go pricing and faster time-to-results. Join this session to understand how to run HPC applications in AWS cloud, and about different AWS Big Data and Analytics services such as Amazon Elastic MapReduce (Hadoop), Amazon Redshift (Data Warehouse) and Amazon Kinesis (Streaming), when to use them and how they work together.

AWS re:Invent 2016: Simplified Data Center Migration—Lessons Learned by Live ...

Amazon Web Services

As the global leader of live entertainment, Live Nation promotes and produces over 22,000 events annually, operates out of 37 countries, and cultivates over 530 million fans globally. To focus on the growth of the business and shed increasing infrastructure costs, the company made the strategic decision to get out of the data center business and go all in with the cloud. Using instrumental services like AWS Import/Export Snowball, VM Import/Export, AWS CloudFormation and AWS Identity and Access Management, VP Cloud Services Jake Burns quickly and efficiently migrated priority business and operational applications, allowing for immediate cost efficiencies. Learn how AWS offerings like Snowball played a decisive role in Live Nation's ability to easily migrate data and enable end users to quickly access applications to minimize operational impact.

AWS re:Invent 2016| GAM401 | Riot Games: Standardizing Application Deployment...

Amazon Web Services

This session covers how the data team at Riot Games utilizes ECS to consolidate and improve disparate deployment and hosting strategies across a wide range of applications deployed via Docker containers. The team will share how cluster management and container orchestration through ECS enables the team to quickly adopt and evolve shared service hosting solutions as Riot continues its journey towards becoming a multi-game studio.

What's hot

AWS re:Invent 2016: Start Your Cost Optimization Program: Learning from Intui...

Amazon Web Services

AWS re:Invent 2016: AWS Database State of the Union (DAT320)

Amazon Web Services

Migrating enterprise workloads to AWS Tom Laszewski

Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...

Amazon Web Services

AWS re:Invent 2016: Preparing for a Large-Scale Migration to AWS (ENT212)

Amazon Web Services

AWS re:Invent 2016: Turner's cloud native media supply chain for TNT, TBS, Ad...

Amazon Web Services

Simplify Your Database Migration to AWS | AWS Public Sector Summit 2016

Amazon Web Services

Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...

Amazon Web Services

AWS re:Invent 2016: Best practices for running enterprise workloads on AWS (E...

Amazon Web Services

NEW LAUNCH! Delivering Powerful Graphics-Intensive Applications from the AWS ...

Amazon Web Services

Deploying Amazon WorkSpaces at Scale with Johnson & Johnson

Amazon Web Services

Migration Recipes for Success - AWS Summit Cape Town 2017

Amazon Web Services

Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...

Amazon Web Services

Deep Dive On Amazon Redshift

Amazon Web Services

Application Migrations at Scale

Amazon Web Services

AWS re:Invent 2016: High Performance Computing on AWS (CMP207)

Amazon Web Services

Running Microsoft Workloads on AWS

Amazon Web Services

WKS407 Wild Rydes Takes Off – The Dawn of a New Unicorn

Amazon Web Services

AWS re:Invent 2016: How Aptean uses AWS Marketplace storage solutions to back...

Amazon Web Services

Getting Started with Big Data and HPC in the Cloud - August 2015

Amazon Web Services

What's hot (20)

AWS re:Invent 2016: Start Your Cost Optimization Program: Learning from Intui...

AWS re:Invent 2016: AWS Database State of the Union (DAT320)

Migrating enterprise workloads to AWS

Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...

AWS re:Invent 2016: Preparing for a Large-Scale Migration to AWS (ENT212)

AWS re:Invent 2016: Turner's cloud native media supply chain for TNT, TBS, Ad...

Simplify Your Database Migration to AWS | AWS Public Sector Summit 2016

Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...

AWS re:Invent 2016: Best practices for running enterprise workloads on AWS (E...

NEW LAUNCH! Delivering Powerful Graphics-Intensive Applications from the AWS ...

Deploying Amazon WorkSpaces at Scale with Johnson & Johnson

Migration Recipes for Success - AWS Summit Cape Town 2017

Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...

Deep Dive On Amazon Redshift

Application Migrations at Scale

AWS re:Invent 2016: High Performance Computing on AWS (CMP207)

Running Microsoft Workloads on AWS

WKS407 Wild Rydes Takes Off – The Dawn of a New Unicorn

AWS re:Invent 2016: How Aptean uses AWS Marketplace storage solutions to back...

Getting Started with Big Data and HPC in the Cloud - August 2015

Viewers also liked

AWS re:Invent 2016: Simplified Data Center Migration—Lessons Learned by Live ...

Amazon Web Services

AWS re:Invent 2016| GAM401 | Riot Games: Standardizing Application Deployment...

Amazon Web Services

AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...

Amazon Web Services

Data center migrations are often long and complex projects that involve thousands of servers. Without automated tools, these migrations can consume hundreds of hours. The recently launched AWS Server Migration Service speeds and simplifies the migration of on-premises servers to the AWS Cloud. SMS automates incremental replication of live server volumes, speeding up the migration process and significantly reducing the manual tasks required for server migration. This session for IT managers introduces key features and benefits of SMS, and includes a demo of the SMS end-to-end workflow.

AWS re:Invent 2016: re:Source Mini Con for Security Services State of the Uni...

Amazon Web Services

AWS CISO Steve Schmidt presents the state of the union for re:Source Mini Con for Security Services. He addresses the state of the security and compliance ecosystem; large enterprise customer additions in key industries; the vertical view: maturing spaces for AWS security assurance (GxP, IoT, CIS foundations); and the international view: data privacy protections and data sovereignty. The state of the union also addresses a number of new identity, directory, and access services, and closes by looking at what's on the horizon.

AWS re:Invent 2016: IoT: Build, Test, and Securely Scale (GPST302)

Amazon Web Services

With the rapid adoption of IoT services on AWS, how do partners and organizations effectively build, test, scale, and secure these highly transaction-data laden systems? This session is a deep dive on the API, SDK, device gateway, rules engine, and device shadows. Consulting and Technology Partner customers share their experiences as we highlight lessons learned and best practices to increase audience efficacy.

AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)

Amazon Web Services

Amazon RDS allows customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of RDS and all the different options available. We do a deep dive into how RDS works and the best practises to achive the optimal perfomance, flexibility, and cost saving for your databases.

AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)

Amazon Web Services

Amazon Redshift is a fast, simple, cost-effective data warehousing solution, and in this session, we look at the tools and techniques you can use to migrate your existing data warehouse to Amazon Redshift. We will then present a case study on Scholastic’s migration to Amazon Redshift. Scholastic, a large 100-year-old publishing company, was running their business with older, on-premise, data warehousing and analytics solutions, which could not keep up with business needs and were expensive. Scholastic also needed to include new capabilities like streaming data and real time analytics. Scholastic migrated to Amazon Redshift, and achieved agility and faster time to insight while dramatically reducing costs. In this session, Scholastic will discuss how they achieved this, including options considered, technical architecture implemented, results, and lessons learned.

AWS re:Invent 2016: Fueling Migration: Shortcutting your Application Portfoli...

Amazon Web Services

For many large enterprises, gathering data on your applications and developing a detailed business case for an all-in migration to AWS can be a time consuming activity. Instead of waiting on a full analysis to be completed, a global healthcare company decided to take a shortcut by reinventing the portfolio assessment process in a brilliantly simple manner. This new streamlined approach enabled them to immediately take advantage of the increased speed and innovative capabilities of AWS. In this session, IT directors and enterprise architects can learn these techniques to quickly identify which of their own applications fit cloud-friendly patterns; including, how to build a prioritized and multi-threaded migration queue that maximizes velocity and business value.

AWS re:Invent 2016: How to Migrate Microsoft Windows Applications to AWS Quic...

Amazon Web Services

Migrating on-premises workloads to AWS is a top priority for customers today. AWS has an array of tools and capabilities to make the move faster and less risky. This deep-dive session presents how to build a migration framework for your Windows-based applications by using AWS CloudFormation templates, along with multisite replication capabilities built into AWS and optimized for Microsoft Windows workloads built on SQL HA. This framework helps speed up your data center migration and minimize risk during the process.

Veneziaclarablanes

Continuous Integration with Docker - 송주영 선임 :: AWS Container Day

Amazon Web Services Korea

DevOps in Microsoft Azure

Mohit Chhabra

IBM Bluemix - Next-Generation Cloud App Development Platform

Jawad Jari, Enterprise Architect

Bluemix the digital innovation platform for indonesia

Patcharee Nutthesri

IBM Private Cloud Platform - Setting Foundation for Hybrid (JUKE, 2015)

Denny Muktar

DevOps, Digital, and Cloud - Two's Company, Three's a Crowd?

Jason Bloomberg

Cloud Computing is unquestionably one of the driving forces of DevOps, as the automation of operations transforms enterprise software development. DevOps, however, is more than a technology trend, as it represents a move toward silo-busting, self-organizing horizontal teams that drive business velocity. At the same time, enterprise Digital Transformation represents an upheaval across the enterprise, as customer preferences and behavior drive enterprise technology decisions. This transformation extends well beyond technology, however, as companies must rethink their organizational structure, moving toward silo-busting, self-organizing horizontal teams...sound familiar? DevOps, Digital, Cloud -- three separate transformative trends, or one mega-trend? Or perhaps nothing more than enough buzzwords to win at buzzword bingo? The big picture here isn't simply a shift in the way companies produce software, a rework of the customer experience, or automated outsourced infrastructure. It's an end-to-end change in the way enterprises work, as they transform into software-driven organizations.

Jelastic DevOps Platform Product Overview for Service Providers

Jelastic Multi-Cloud PaaS

Cloud IT Economics: What you don't know about TCO can hurt you

Al Brodie

Amazon Aurora Deep Dive (re:Invent 2015 DAT405 日本語翻訳版)

Amazon Web Services Japan

AWS re:Invent 2016: Hybrid Architectures: Bridging the Gap to the Cloud( ARC2...

Amazon Web Services

AWS provides many services to assist customers with their journey to the cloud. Hybrid solutions offer customers a way to continue leveraging existing investments on-premises, while expanding their footprint into the public cloud. This session covers the different technologies available to support hybrid architectures on AWS. We discuss common patterns and anti-patterns for solving enterprise workloads across a hybrid environment.

Viewers also liked (20)