Build a Real-Time Sales Analytics Dashboard with Amazon ElastiCache for Redis (DAT358) - AWS re:Invent 2018

•

1 gefällt mir•351 views

In this session, we explore Amazon ElastiCache for Redis as an in-memory data store and cache service, and we use it to build a real-time sales analytics dashboard. We guide the participants through building the solution that integrates Amazon Kinesis, Amazon Elastic Container Service, AWS Lambda, and Amazon ElastiCache to create a dashboard that provides a near real-time display of information, even at high volume.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Build a Real-Time Sales Analytics Dashboard
with Amazon ElastiCache for Redis
Yosef Lifshits
Solutions Architect
Amazon Web Services
D A T 3 5 8
Justin McWhirter
Solutions Architect
Amazon Web Services

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Agenda
Redis data types
Architecture walk-through
Additional use cases

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Redis data types
Strings
Lists
Sets
Hashes
Sorted sets

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Architecture walk-through
Order
processing
function
Dashboard
backend
(Node.js)
ElastiCache
Redis
Application
load balancer
Amazon
Kinesis Data
Streams
Dashboard
Order system

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Additional use cases
Pub/sub
Leaderboards
Standalone database
Streaming data analysis
Database caching
API caching
Session management
IoT
Social media
Sentiment analysis

Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Yosef Lifshits
yosefl@amazon.com
Justin McWhirter
justindm@amazon.com

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

Weitere ähnliche Inhalte

Was ist angesagt?

In the world of security monitoring and alerting, there is an increasing number of opportunities and advanced technologies. People look for better ways to gain insights from large datasets and are tasked with the responsibility of communicating that data throughout the entire organization. In this talk, we explore how to democratize the security of your next-gen infrastructure by building measurement directly into systems, factoring in security-related KPIs and OKRs. Attendees learn how everyone, from SMBs to enterprises, securely scale their infrastructure while continuing to enable innovation at the speed of business. This session is brought to you by AWS partner, Threat Stack.

Security Observability: Democratizing Security in the Cloud (DEV206-S) - AWS ...

Amazon Web Services

Bring your ideas, war stories, and "aha moments" to this interactive session with an AWS solutions architect, where we discuss cloud architecture best practices. We highlight specific "light bulb" moments for AWS customers as the cloud redefined how they think about scalability, designing for failure, constrained thinking, elasticity, parallel processing, loose coupling, and more. Come with your own story or an interest in learning how AWS forever changed the way your colleagues think about the IT world.

Architecting for the Cloud (ARC213-R2) - AWS re:Invent 2018

Amazon Web Services

Every M&E migration strategy to AWS requires the customer and partners to design and implement a content ingest workflow. These services vary from simple file transfer to fairly complex workflows that do quality control, proxy creation, and metadata augmentation. In this session, we present a baseline process for moving content into a Media Asset Management system in AWS, leveraging common open-source tools for asset registry and using AWS ML services to augment the metadata associated with assets. We also talk about common considerations that M&E organizations should consider when moving their assets and workflows to the cloud. Topics include metadata input, modeling, storage services and policies, security considerations, and managing increased content demands. We also visit the different storage tiers for different archive use cases and offer a TCO model.

Dissecting Media Asset Management Architecture and Media Archive TCO (MAE301)...

Amazon Web Services

Matt Garman, VP of AWS Compute Services, introduces the latest innovations in the compute space. In this keynote address, we announce new compute capabilities, and we share insights into what makes the AWS compute business unique. We also announce new capabilities for Amazon EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers, and Serverless. Matt is joined by executives from our customers and partners who share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.

AWS Compute Leadership Session: What’s New in Amazon EC2, Containers, and Ser...

Amazon Web Services

Broadridge Financial has a long history of providing solutions for regulatory archival content on behalf of its clients. Many archival solutions rely on legacy technology, requiring regular refresh and overhaul. With the advent of cloud technology, Broadridge has re-imagined archival systems as intelligent information management solutions. Broadridge's solution uses a wide array of AWS services, such as Amazon Glacier, Amazon S3, AWS Lambda, Amazon EC2, Amazon Aurora, Amazon EBS, AWS CloudTrail, Amazon SQS, AWS Direct Connect, Amazon Lex, and Amazon API Gateway. In this session, we explore the architecture behind Broadridge's solution. Attendees gain an understanding of how archival content can become a valuable repository of information that drives client services, data analytics, and business growth.

Breaking the Ice: Transform Cold Archival Data into Fresh Insights (STG355) -...

Amazon Web Services

Learn how you can build, train, and deploy machine learning workflows for Amazon SageMaker on AWS Step Functions. Learn how to stitch together services, such as AWS Glue, with your Amazon SageMaker model training to build feature-rich machine learning applications, and you learn how to build serverless ML workflows with less code. Cox Automotive also shares how it combined Amazon SageMaker and Step Functions to improve collaboration between data scientists and software engineers. We also share some new features to build and manage ML workflows even faster.

ML Workflows with Amazon SageMaker and AWS Step Functions (API325) - AWS re:I...

Amazon Web Services

As industries digitally transform their existing business models to fend off competitors or disrupt new markets, they find their IT to be a limiting factor. In this session, we cover the trends of disruptions and opportunities of digital transformation, and the evolution of IT monoliths to microservices and now cloud native services. We also explore dependency management, or “lock in,” through a “choosing, using, and losing” mental model. Finally, we explore chaos architecture as an evolving method for exposing weaknesses before they become real problems.

Trends in Digital Transformation (ARC212) - AWS re:Invent 2018

Amazon Web Services

Volkswagen Group, consisting of 12 global brands including Volkswagen, Audi, and Porsche, aspires to become a globally leading provider of sustainable mobility with their "TOGETHER - Strategy 2025" program. A key facilitator to achieve this vision is their Volkswagen Group One Digital Platform (ODP) providing a holistic digital ecosystem connecting Volkswagen vehicles with customers, Volkswagen mobility services, and partners following an open platform approach. Volkswagen Group is using AWS as a cloud service provider for transitioning the existing vehicle connectivity backend. In this session, learn how Volkswagen Group is accomplishing this from a technical and organizational standpoint, setting up a cloud platform as a landing zone in AWS, using services such as AWS Direct Connect, AWS Lambda, Amazon RDS, and Amazon Route 53 for migrating and replatforming their existing on-premises backend, in-sourcing development, empowering their internal teams, and transforming internal processes to enable greater agility and reduce time to market.

Building Volkswagen Group's Digital Ecosystem (AMT304) - AWS re:Invent 2018

Amazon Web Services

Learn how companies like FocusCura and Clouden have on-boarded hierarchical data at scale using Amazon Cloud Directory, a highly available, fully managed, serverless, hierarchical datastore. It’s well-suited for such use cases as human resources applications, course catalogs, device registry, network topology, and any application that needs fine-grained permissions (authorization). We do a deep dive into the internals of Cloud Directory and discuss best practices.

Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018

Amazon Web Services

When it comes to doing the cloud right, no one size fits all. Yet sometimes organizations become distracted by the day-to-day management of cost, security, and overall operations. They can lose sight of the reasons they chose to embrace the cloud in the first place. How can you possibly manage it all and stay focused on the business outcomes that are most important? In this session, learn how forming a Cloud Center of Excellence (CCoE) has become an increasingly common way to address many of these challenges. When implemented well, the CCoE acts as a bridge, connecting all departments that use, measure, or fund your cloud operation. This session is brought to you by AWS partner, CloudHealth Technologies.

Zendesk: Building a World-Class Cloud Center of Excellence (ENT309-S) - AWS r...

Amazon Web Services

In this session, learn how Amazon.com used AWS Database Migration Service (AWS DMS) to migrate 600B+ records to Amazon DynamoDB in two months. We address such questions such as: What were the problems in using Oracle databases for a large-scale distributed system that is constantly growing in scale? How did migration to Amazon DynamoDB address those problems and simplify the application architecture? How do you migrate data reliably and quickly using AWS DMS without affecting your application’s availability or throughput?

How Amazon Migrated Items & Offers for Retail, Marketplace, & Digital to Dyna...

Amazon Web Services

Imagine being able to transcribe calls, translate them into multiple languages and then being able to identify key topics discussed in those calls. All of that is possible today with machine learning services offered by AWS. In AWS, you can easily integrate your real-time communication infrastructure with state-of-the-art AI services to enhance user experience. In this workshop, learn how to set up a secure and highly available WebRTC system on AWS and then integrate it with AWS AI services to provide services such as transcription (Amazon Transcribe), translation (Amazon Translate), and meta-data creation (Amazon Comprehend).

Set Up a Communications Platform on AWS with AI-Enhanced Services (TLC302) - ...

Amazon Web Services

The cloud is enabling the transformation of IT in the enterprise at an unprecedented rate. No longer is IT viewed just as a provider of services, but increasingly it is viewed as a strategically important team that plays a central role in the creation of new business value. How are enterprise IT leaders responding, and what are the people, process and technology shifts needed to build agile and innovative organizations?

Leadership Session: The Future of Enterprise IT (ENT220-L) - AWS re:Invent 2018

Amazon Web Services

In this wide-ranging keynote session, first hear from AWS VP Carla Stratfold on the major forces affecting the industry, then learn from AWS Global M&E Tech Lead Usman Shakeel about the latest and most exciting releases coming out of re:Invent relevant to the M&E industry. And finally, hear how technical leaders at the forefront of the industry are responding to accelerating changes in the media landscape.

M&E Leadership Session: The State of the Industry, What's New from AWS for M&...

Amazon Web Services

Many customers move to the cloud to innovate faster and gain more business agility. In order to recognize these benefits of the cloud, many customers are migrating their .NET applications to AWS, whilst innovating faster by taking advantage of cloud-native services. In this session, we will go through application modernization journey for a .NET application to AWS, and walkthrough Containerization as an option. We also discuss how easy it is for the customers to transform their business applications using AWS while using the familiar Microsoft toolset and workflows.

Modernizing .NET Applications on AWS (GPSCT204) - AWS re:Invent 2018

Amazon Web Services

產業轉型：如何利用AWS構建SaaS服務平台，新思維拓展新商機 (Level: 200)

Amazon Web Services

In this session, learn how Supercell architected its analytics pipeline on AWS. We dive deep into how Supercell leverages Amazon Elastic Compute Cloud (Amazon EC2), Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), Amazon EMR, and Spark to ingest, process, store, and query petabytes of data. We also dive deep into how Supercell's games are architected to accommodate scaling and failure recovery. We explain how Supercell's teams are organized into small and independent cells and how this affects the technology choices they make to produce value and agility in the development process.

Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018

Amazon Web Services

As financial institutions look to accelerate and scale their use of machine learning, they need to address questions related to specific results, such as the version of the code and the data that lead to a particular inference. The use of disparate and increasingly non-traditional data sources for activities such as targeted marketing, fraud detection, and improved returns is driving a need for structured development of machine learning models. In this session, we’ll discuss how we can use a combination of AWS services including Amazon SageMaker, AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline to create a workflow that will help financial institutions meet their requirements and drive business results.

Industrialize Machine Learning Using CI/CD Techniques (FSV304-i) - AWS re:Inv...

Amazon Web Services

New Tools for a New World

Amazon Web Services

Even the best continuous delivery and DevOps practices cannot guarantee that there will be no issues in production. The rise of Site Reliability Engineering (SRE) has promoted new ways to automate resilience into your system and applications to circumvent potential problems, but it’s time to “shift-left” this effort into engineering. In this session, learn to leverage AWS Lambda functions as “remediation as code.” We show how to make it part of your continuous delivery process and orchestrate the invocation of Self-Healing Lambda functions in case of unexpected situations impacting the reliability of your system. Gone are the days of traditional operation teams—it’s the rise of “shift-lefters”! This session is brought to you by AWS partner, Dynatrace.

Shift-Left SRE: Self-Healing with AWS Lambda Functions (DEV313-S) - AWS re:In...

Amazon Web Services

Was ist angesagt? (20)