AWS re:Invent 2017

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EUT301: Oil & Gas Reservoir Simulation leveraging AWS HPC technologies and 3D visualization Dec 01, 2017

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With increasing competition and shrinking budgets across the industry, Oil and Gas companies around the world are looking to optimize their oil well production, knowing that even single-digit efficiency gains could have a financial impact in the range of hundreds of millions of dollars. To do so, complex reservoir models and other compute-intensive simulations need to be run on the fly, requiring more compute and storage resources than ever before. In this session, you will learn how customers are running complex reservoir simulations in a scalable and cost-effective way using Spot instances and such AWS HPC technologies as cfnCluster, EnginFrame, DCV, as well as the myHPC cluster management solution. We will share reference architectures and provide best practices and considerations for instance and storage selection to optimize performance and minimize cost for the most demanding HPC workloads.

EUT302: Data Ingestion at Seismic Scale: Best practices for processing petabyte scale HPC workloads in the Cloud Dec 01, 2017

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With geoseismic datasets that are petabytes in size and growing, finding tomorrow's energy is increasingly data and compute intensive. Hess Corporation, a global energy company, needed to be able to respond quickly to changing oil market demands, while minimizing costs. By migrating petabytes of data and running high performance computing (HPC) workloads on AWS, Hess reduced compute costs and accelerated time in which geologists received results. In this session, you will learn how Hess built a GeoSeismic data repository on AWS, by leveraging S3 and EFS, and processes that data by building HPC clusters on-demand using the GPU-enabled P2 instance family. Additionally, you will learn how the Hess subsurface computing team was able to move from running on premise cap-ex driven GPU clusters to an op-ex driven on-demand model in the AWS cloud.

EUT303: Modernizing the Energy and Utilities Industry with IoT: Moving SCADA to the Cloud Dec 01, 2017

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Supervisory Control and Data Acquisition (SCADA) systems are critical real-time software applications used to manage nearly any form of upstream, midstream, and downstream processes in the energy industry. Traditionally, these technologies have been deployed on premises and managed separately from core IT, to ensure security, availability and consistent performance. As energy and utility companies expand geographically, and the number and types of sensors in each location grow, disparate and growing data streams are becoming increasingly complex and challenging to manage. It is estimated that up to 95% of valuable device and sensor information is left stranded in the field, information that could prove valuable to machine learning, predictive analytics, and process optimization. In this session, energy and utility customers will learn how easy it is to implement IIoT on AWS, so they can easily extract value from additional devices and sensors, and innovate faster. We will dive into a reference architecture for accessing current mission critical SCADA data as well as previously stranded data into AWS using Kinesis and DynamoDB, ultimately enabling customers to reduce downtime, increase efficiencies, improve reliability, and gain more business insights through connected data.

EUT305: Delivering the Future of Energy with Connected Home Products using AWS IoT Dec 01, 2017

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What if your utilities company could fix your hot water service before you knew it was broken, or introduced novel pricing models to improve global sustainability? Centrica, a global utility company with notable brands like British Gas, is a market leader in connected home products that help customers manage their energy use. With millions of customers and thousands of device installations a week, the business was outgrowing their on-premises data center despite ongoing investments, so they needed a reliable and elastic architecture that could quickly scale to meet demand. They also needed an agile and compliant IoT platform to manage the explosion of data resulting from more customers, more devices, and more sensors. With AWS IoT, they can focus on delivering better customer experiences while generating valuable business insights to optimize energy usage, reduce costs, and enable global sustainability. In this session, participants learn how Centrica seamlessly migrated to AWS IoT, and how they are modernizing their platform to deliver the future of energy.

FSV301: Security Anti-Patterns: Mistakes to Avoid Dec 01, 2017

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At AWS, security is job zero. Our infrastructure is architected for the most data-sensitive, financial services companies in the world. We have worked with global enterprises to meet their respective security requirements and have learned that there are best practices and pitfalls to avoid. In this session, we provide a guided tour of governance patterns to avoid – ones that may seem logical at first, but that actually impede your ability scale and realize business agility. We also cover best practices, such as setting up key preventative and detective controls for implementing 360-degrees of security coverage, practicing DevSecOps on a massive scale, and leveraging the AWS services (such as Amazon VPC, IAM, Amazon EMR, Amazon S3, Amazon CloudWatch, and AWS Lambda) to meet the most strict and robust enterprise security requirements.

FSV302: An Architecture for Trade Capture and Regulatory Reporting Dec 01, 2017

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For many securities organizations, post-trade processing is expensive, cumbersome, and time-consuming. This is in part due to the massive volumes of data required for processing a trade and the limited agility of the technology on which many organizations rely today. In order to create efficiencies and move faster, many financial services organizations are working with AWS to implement post-trade solutions built with AWS storage services (Amazon S3 and Amazon Glacier) and big data capabilities (Amazon Athena, Amazon EMR, Amazon Redshift, and Amazon QuickSight ). In this session, we walk through a trade capture and regulatory reporting solution that uses the aforementioned AWS services. We also provide guidance around obtaining data-driven insights (from pixels to pictures); bolstering encryption with AWS KMS; and maintaining transparency and control with Amazon CloudWatch and Amazon CloudTrail (which also helps meet SEC Rule 613 that requires the creation of comprehensive consolidated audit trails).

FSV303: Building Queryable Archives and Data Lakes for Financial Services Dec 01, 2017

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Financial institutions today must manage multiple data types from a wide variety of sources. Among these various data types, archive data presents a particular challenge: it is invisible to much of the organization and not easily leveraged by the lines of business for analytics, insight, and product innovation. Faced with massive volumes of archive data, Financial Services organizations are finding that delivering insights in a timely manner requires a data storage and analytics solution with more agility and flexibility than traditional data management systems can provide. In this session, we will discuss a design pattern that (1) brings this data into a highly available, lower-cost queryable archive within AWS than you currently have and (2) migrates that data to a data lake that the entire organization can use to extract insight and drive innovation. We will walk through a strategy that addresses the following topics: storing archive data in compressed, cost-effective, and readily available formats; creating lifecycle policies to archive older data sets and make them easily accessible; fully utilizing the features of object storage to enrich the data lake; and applying AWS analytics tools to gather business insights.

FSV304: Farewell to a Trade-off: Enabling High-scale, Bank-wide Cloud Adoption by Delivering Control and Self-service through Automation and Continuous Compliance Dec 01, 2017

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Many financial institutions want to provide greater autonomy to their developers but find themselves hemmed in by intricate legacy processes and centralized IT teams that own different parts of the infrastructure and application stack. For Barclays PLC, the solution to this impasse lay in automating the management of hundreds (and, soon, thousands) of accounts, granting developers access to AWS technology directly via AWS Console or API while conforming to bank policy. Key to Barclays' strategy is “Persephone,” a system that creates accounts, sets policy, defines which services are enabled in the account, and runs Lambda functions to ensure continuous compliance. Persephone relies on services including CloudTrail, CloudWatch Events, IAM, KMS, and others to balance control and productivity. Barclays is also working to introduce automated reasoning testing and assurance techniques made available by the Automated Reasoning Group at AWS. Attendees of this session will gain an understanding of the mindset, skillset, and toolset shifts that a diversified global financial institution must make to meet the control objectives of the present while ensuring the agility to accommodate technology change of the future.

FSV305: Optimizing Payments Collections with Containers and Machine Learning Dec 01, 2017

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The Bank of Nova Scotia is using deep learning to improve the way it manages payments collections for its millions of credit card customers. In this session, we will show how the Bank of Nova Scotia leveraged Amazon EC2 Container Service and EC2 Container Registry and Docker to streamline their deployment pipeline. We will also cover how the bank used AWS IAM and Amazon S3 for asset management and security, as well as AWS GPU accelerated instances and TensorFlow to develop a retail risk model. We will conclude the session by examining how the Bank of Nova Scotia was able to dramatically cut costs in comparison to on-premise development.

FSV306: Getting to Yes – Minimal Viable Cloud with Maximum Security Dec 01, 2017

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How do you get your security and compliance team to embrace the cloud? "Getting to Yes" with Vanguard's Security, Legal, and Compliance Teams was a key factor to the organization's journey to the cloud. Maintaining a high level of assurance is solvable when using an iterative, agile approach. Vanguard is taking existing on-premises controls, plus cloud frameworks such as NIST, CSA, etc., to develop the right set of cloud controls that provide maximum security without sacrificing business agility. In this session, we cover: Vanguard's approach to developing appropriate controls for its cloud deployments; key considerations and best practices when implementing controls; leveraging the AWS Cloud Adoption Framework and the four security perspectives to map controls appropriately; and the various AWS services (IAM, Amazon VPC, AWS KMS, and AWS CloudTrail) that we leveraged. We also cover the iterative and agile approach we are taking by embracing DevSecOps principles.

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