AWS re:Invent 2017

Enterprises of all sizes face continuing data growth and persistent requirements to back up and recover application data. The pains of recurring storage hardware purchasing, management, and failures are still acute for many IT organizations. Some also need to integrate on-premises datasets with in-cloud workloads, such as big data processing and analytics. Learn how to use AWS Storage Gateway to connect on-premises applications to AWS storage services using standard storage protocols, such as NFS, iSCSI, and VTL. Storage Gateway enables hybrid cloud storage solutions for backup and disaster recovery, file sharing, in-cloud processing, or bulk ingest for migration. We discuss use cases with real-life customer stories, and offer best practices.

Running out of capacity on your NAS? Tired of buying and maintaining storage systems for file shares, media archives, or high-performance shared file systems? Learn how you can use AWS storage services to help eliminate the capital expense and operational complexity of on-premises file storage. We provide guidance how to use AWS's in-cloud file storage service Amazon EFS, as well as how to connect on-premises file workloads to data stored in Amazon S3 via the AWS Storage Gateway. Hear examples from customers such as Celgene Corporation, who are using these services in hybrid and in-cloud architectures, to take advantage of AWS durability, performance, and economics.

As your business grows, you gain more and more data. When managed appropriately, you can make this data a strategic asset to your organization. In this session, you'll learn how to use storage management tools for end to end management of your storage, helping you organize, analyze, optimize and protect your data. You'll see how S3 Analytics - Storage Class Analysis helps you set more intelligent Lifecycle Policies to reduce TCO; Object Tagging gives you more management flexibility; Cross-Region Replication provides efficient data movement; Amazon Macie helps you ensure data security; and much more. Then, Paul Fisher, Technical Fellow at Alert Logic, will demonstrate how his organization uses S3 storage management features in their infrastructure.

Learn how to build a data lake for analytics in Amazon S3 and Amazon Glacier. In this session, we discuss best practices for data curation, normalization, and analysis on Amazon object storage services. We examine ways to reduce or eliminate costly extract, transform, and load (ETL) processes using query-in-place technology, such as Amazon Athena and Amazon Redshift Spectrum. We also review custom analytics integration using Apache Spark, Apache Hive, Presto, and other technologies in Amazon EMR. You'll also get a chance to hear from Airbnb & Viber about their solutions for Big Data analytics using S3 as a data lake.

Amazon S3 & Amazon Glacier provide the durable, scalable, secure and cost-effective storage you need for your data lake. But, as your data lake grows, the resources needed to analyze all the data can become expensive, or queries may take longer than desired. AWS provides query-in-place services like Amazon Athena and Amazon Redshift Spectrum to help you analyze this data easily and more cost-effectively than ever before. In this session, we will talk about how AWS query-in-place services and other tools work with Amazon S3 & Amazon Glacier and the optimizations you can use to analyze and process this data, cheaply and effectively.

HERE Technologies enables people, enterprises, and cities around the world to harness the power of location. In this session, you learn how HERE uses JFrog Artifactory with Amazon EFS to deliver close to a million downloads and uploads per day to its CI/CD environment. We walk you through HERE's AWS process for handling development at scale, and we discuss lessons learned and best practices for success throughout.

In the fast-paced world of news media, having a high performance, reliable storage service is a critical component for delivering content at scale. Learn how Thomson Reuters leverages Amazon EFS to host their rich media content, saving them time and money while delivering unmatched reliability.  Come hear about their journey, their approach, their architecture, and the considerations they took when building out their environment. Best practices and tips for success will be shared throughout.

Driven by higher resolution and an increasing amount of content due to direct B2C delivery, media companies are looking to cost-effectively leverage cloud compute scalability. Emerging use cases, such as media supply chains, VFX/animation rendering, and transcoding for OTT streaming, require careful planning as they move to the cloud. Storage is critical to the performance and processing of media. In this session, we discuss various AWS cloud storage strategies for different media workloads. We take a deep dive into media supply chains (including content transcoding, QC, mastering, and packaging), post-production tasks in the cloud, and other media and entertainment workloads. You also learn how Theory Studios uses storage on AWS cloud to support rendering visual effects and animation on Amazon EC2 Spot Instances.

Join us for an overview of AWS Snowball and Snowball Edge, a collection of self-service storage appliances built for petabyte-scale data ingest and export operations in the cloud. AWS Snowball and Snowball Edge make it easy to migrate mixed data types to the cloud at scale, whether in support of enterprise workload transformation, active archive, backup & recovery or data lake seeding. In this session, you will hear from organizations that are using AWS Snowball to migrate their critical data assets to the cloud with minimal cost and operational overhead. See how quickly you can accelerate your cloud migration timeline using AWS Snowball and Snowball Edge.

Running WordPress site in the cloud across multiple instances can create a never-ending list of challenges in order to keep your site running optimally. Administration of unpredictable code updates or theme changes can create a never-ending litany of manual or programmatic updates to every single Amazon EC2 instance hosting WordPress. Come join us in this deep dive session, where we detail how you can leverage EC2, Amazon RDS, Amazon ElastiCache, Auto Scaling, Elastic Load Balancing, Amazon Route 53, and Amazon CloudFront. We explore how to take advantage of Amazon Elastic File System (Amazon EFS) and Amazon Simple Storage Service (Amazon S3) as shared storage to deliver a highly available and massively scalable infrastructure that can dynamically scale up or down to automatically adjust to unpredictable traffic demands. We also share best practices, provide performance tuning hints, and describe cost optimization techniques throughout.