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The cloud enables Well-Architected environments from bootstrap startups to well-funded enterprises, all while remaining cost effective. Learn how to properly design your product’s cloud architecture by following best practices and enhancing your “cloud” knowledge. In this session we will walk through the A Well-Architected AWS Framework which is based on four pillars—security, reliability, performance efficiency, and cost optimization. By Oron Adam, Emind CTO
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As companies look to orchestrate Docker in the cloud, they have several options for container orchestration. We delve into both container-as-a-service options from AWS, Microsoft Azure, and Google Cloud Platform as well as running your own Kubernetes cluster in the cloud.
Building Complex Workloads in Cloud - AWS PS Summit CanberraAmazon Web Services
In this session we will explore technologies & solutions to deploy ever increasing complex workload like High Performance Computing, Big Data and AI seamlessly to the cloud. You will hear from two strategic partners on how they have used AWS cloud and Intel technologies to accelerate innovation for their customers.
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One-stop Solution for Mass Migration with Disaster Recovery Methodology with ...Amazon Web Services
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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.
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Metrics-Driven Performance Tuning for AWS Glue ETL Jobs (ANT332) - AWS re:Inv...Amazon Web Services
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Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...Amazon Web Services
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Build Machine Learning Solutions on Data Lakes (ARC321) - AWS re:Invent 2018Amazon Web Services
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Deliver Desktop Applications with Amazon AppStream and WorkspacesAmazon Web Services
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Build Machine Learning Solutions on Data Lakes (ARC321) - AWS re:Invent 2018Amazon Web Services
As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using Amazon SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference. Important: This is a hands-on session where you need to already have an AWS account that can run AWS CloudFormation, AWS Lambda, Amazon DynamoDB, Amazon Kinesis, AWS Glue, AWS Database Migration Service (AWS DMS), Amazon S3, and Amazon SageMaker.
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Amazon Web Services - Bay Area.
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Find the recording here - https://www.youtube.com/watch?v=4mlXXSiw94U
Batchly is completely built on Amazon Web Services architecture and provides direct support and integration with S3, SQS, RDS and Lambda services. We are also working on building Docker (https://www.docker.com/) support to enable multi cloud environment support and did we mention about in-built support for AWS SPOT instances that can bring down processing costs by as much as 90%!
Batchly enables both internet and traditional enterprises to automatically benefit from AWS cost and usage savings by optimizing workloads with spot instances (even existing RI’s) and EC2 smart sizing. No matter what you use AWS for, Batchly helps you to reduce your cost (by up to 90%) in a frictionless manner.
Moving your SAP Environment to the Cloud REAN Cloud
REAN Cloud, Amazon Web Services and TriCore Solutions jointly hosted the webinar to discuss the key benefits of moving your SAP environment to the Cloud.
Enterprise Workloads love running on AWS! In this session come and learn about the ways that enterprises have successfully migrated their critical Microsoft, SAP and Oracle workloads to AWS to improve operational performance.
Speaker:
Danny Jenkins, Solutions Architect, Amazon Web Services
ABD212 sap hana the foundation of sap’s digital core no notesAmazon Web Services
"Learn how customers are leveraging AWS to better position their enterprises for the digital transformation journey. In this session, you hear about: operations and process; the SAP transformation journey including architecting, migrating, running SAP on AWS; complete automation and management of the AWS layer using AWS native services; and a customer example. We also discuss the challenges of migration to the cloud and a managed services environment; the benefits to the customer of the new operating model; and lessons learned. By the end of the session, you understand why you should consider AWS for your next SAP platform, how to get there when you are ready and some best practices to manage your SAP systems on AWS.
session sponsored by DXC Technology"
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.
Lou Osborne takes us on a journey trough Microsoft Windows, Server, SQL, Sharepoint, and how these different solutions can be easily implemented on the AWS Cloud.
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 이종남 프로페셔널 컨설턴트가 진행한 강연입니다.
강연 요약: AWS 클라우드 도입 시 많은 엔터프라이즈 고객들이 가장 먼저 이전하는 것은 웹사이트와 모바일 애플리케이션이고, 그 다음으로 가장 중요한 비즈니스 서비스를 옮겨옵니다. SAP나 Oracle 같은 이런 서비스들은 매우 복잡하며 고객사 내부에서도 다양한 절차와 결합되어 있어 다른 내부 및 외부 서비스들과 연동된 하이브리드 솔루션의 형태로 배포되어 있기 마련입니다. 이러한 하이브리드 솔루션을 구축하기 위해서는 이전 세션에서 다룬 대로 기존의 온프레미스 네트워크와 클라우드 사이에 빠르고 안전한 네트워크 연결이 필요합니다. 이번 세션에서는 이러한 연결망을 구축하는 방법에 대해 조금 더 자세히 알아보고 AWS를 선택한 고객들이 자신들의 비즈니스 애플리케이션을 AWS에 연결해 얻게 된 이점에 대해 이해해 보시기 바랍니다.
How Discovery Migrated 80% of Their IT to AWS with CloudreachAmazon Web Services
While the advantages of operating your workloads on AWS are attractive to many organizations, the prospect of migrating a vast legacy IT environment to the cloud may have your IT department wondering where to start. When Discovery Communications, a mass media and entertainment company, decided to migrate 20 data centers to AWS they selected Cloudreach as their trusted advisor on their journey to the cloud. Cloudreach uses a mature methodology with its roots in industry best practices and the AWS Cloud Adoption Framework to efficiently migrate large on-premises environments to the cloud. Join us for the upcoming webinar where cloud experts from Cloudreach, AWS, and Discovery discuss how Cloudreach helped Discovery Communications transform and modernize their IT infrastructure and adopt the AWS Cloud.
Join us to learn:
How Discovery Communications migrated 80% of their corporate IT environment to AWS.
Cloudreach’s repeatable structure and methodology behind migrating large-scale workloads to AWS.
How Cloudreach ensures the business goals of the migration (e.g., TCO/ROI, speed of deployment, team focus, etc.) are achieved, if not surpassed.
Who Should Attend:
CIO, CTO, VP or SVP Infrastructure, IT Director, Chief Architect
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.
Enterprise Workloads love running on AWS! In this session come and learn about the ways that enterprises have successfully migrated their critical Microsoft, SAP and Oracle workloads to AWS to improve operational performance.
Speaker: Danny Jenkins, Solutions Architect, Amazon Web Services
AWS Summit Stockholm 2014 – B2 – Migrating enterprise applications to AWSAmazon Web Services
This session discusses strategies, tools, and techniques for migrating enterprise software systems to AWS. These applications are complex by themselves; they are frequently customized; they have many touch points on other systems in the enterprise; and they often have large associated databases. Nevertheless, running enterprise applications in the cloud affords powerful benefits. We identify success factors and best practices.
(BIZ301) Getting Started: Running SAP on AWS | AWS re:Invent 2014Amazon Web Services
AWS is certified to run key SAP enterprise solutions, such as SAP Business Suite and SAP HANA, in production on the AWS cloud. Learn more about the recommended best practices for systems migration, including how to prepare your environment for minimal downtime; security design; database configuration including EC2 instance configuration; and backup and restore for SAP. We will also discuss high availability (HA) and disaster recovery (DR) scenarios for SAP. This session will highlight several customer success stories, and provide details on where to find available tools and trials to get started.
In this webinar, we will share and dive deep on technical capabilities, and benefits of SAP solutions on AWS. We will demonstrate how to deploy SAP HANA on the AWS Cloud, and share insights on the integration of SAP Cloud Platform on AWS, and discuss cloud migration approaches.
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47Line Products & Services Overview
1. 47Line is helping businesses solve critical problems
using “cloud as the backbone”
f(Our Cloud Expertise) = (Your Business Success)n
2. Team Behind 47Line
Team working in the cloud computing domain for the last 5 years
Has built a successful cloud consulting business (one of the top
15 AWS partners globally) in the past
NASSCOM IT Innovator & EMERGE Leader Awards in previous
venture
400+ combined months of in-depth cloud experience
Proven thought leadership in cloud-based architecture and
design
Close relationship with AWS senior management with early
access to products
f(Our Cloud Expertise) = (Your Business Success)n
3. 47Line - Expertise Stack
Java
.NET
Hadoop
EMR
PHP
Shark
Continuous Integration
Puppet, Chef, Opswork,
CloudFormation
Amazon CloudFront
Spark
Tomcat
MySQL
Oracle
Data Analytics
Route53
HAProxy
MemCache
NGINX
Language
Kinesis
Redshift
Akamai
Elastic Load Balancer
ElastiCache
iOS
Android
MemBase
IIS
SQL Server
Linux
Amazon Web Services
Varnish
Solr
RabbitMQ
RDS
DynamoDB
Windows
Microsoft Azure
f(Our Cloud Expertise) = (Your Business Success)n
Delivery
Load
Balancing
Cache
Apps
Database
OS
Public Cloud
4. 47Line - Intro
47Line is helping businesses solve critical problems
using “cloud as the backbone”
Services
Cloud Strategy & Architecture
Data warehouse on Cloud
Analytics on Cloud
Solution
Batchly – Adaptive Batch Processing Solution that combines AWS ondemand and spot instances to reduce costs and add scale to enterprise
batch processing
PriorityEngine – Solution to streamline user traffic and manage
excessive user load in web applications
f(Our Cloud Expertise) = (Your Business Success)n
5. 47Line - Services
Cloud Consulting
• Technical Feasibility assessment and proof of concepts
• Provide a cloud strategy and roadmap for cloud adoption
factoring enterprise security, compliance and
governance issues
• Design and deploy public, private and hybrid clouds
Cloud Migration
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Cloud
Engineering
Scaling and High Availability solutions
GEO Distributed Load Balancing
Production & Test Infrastructure setup
Monitoring & Storage solutions
DR / BCP on Cloud
• Architect and develop custom cloud applications and
tools and integration with AWS services
• Big Data Analytics – Elastic Map Reduce, Hadoop, Kinesis
• Data Warehouse on cloud - AWS Redshift
f(Our Cloud Expertise) = (Your Business Success)n
6. 47Line - Batchly
Adaptive Batch Processing Solution built using a
combination of AWS on-demand and spot instances
Large scale batch processing framework
Zero infrastructure management
Massive Cost Savings – Intelligent Algorithmic
processing engine
Real Time Dashboards for live monitoring of
operations
Extensible framework and custom plugin support
f(Our Cloud Expertise) = (Your Business Success)n
7. 47Line – PriorityEngine
A lightweight solution to protect e-com website from crashes /
poor performance
Safeguards backend system from excess load and holds all
additional load in scalable cloud infrastructure
Throttles traffic by releasing requests based on the capacity
of the backend system
• Scalable system built ground up for modern apps and runs on
AWS
• Adaptive throttling based on multiple system utilization
signals
• Priority Queuing based on user classification
f(Our Cloud Expertise) = (Your Business Success)n