Cloud Computing with Amazon Web Services.
AWS Cloud Solutions - Websites, Archiving, Data Lakes and Analytics, Serverless Computing, Internet of Things and more.
Containers in AWS - Amazon Elastic Container Service, Fargate, and EKS
Big Data and the Data lake implementation in AWS
Machine Learning with Amazon SageMaker - Build, train, and deploy machine learning models at scale.
AWS Identity and Access Management (IAM) - Securely manage access to AWS services and resources.
AWS Pricing - How does AWS pricing work?
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
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.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects.
In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
AWS January 2016 Webinar Series - Getting Started with Big Data on AWSAmazon Web Services
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
Learning Objectives:
Learn about big data tools available at AWS
Understand ideal use cases
Learn some of the key considerations such as performance, scalability, elasticity and availability, when selecting big data tools
Who Should Attend:
Data Architects, Data Scientists, Developers
Building and running your business starts with compute, whether you are building mobile apps, or running massive clusters to sequence the human genome. AWS has over 70 infrastructure services and plans to deliver more than 1,000 new features in 2016. With more than twice as many compute instance families, twice the compliance certifications, and the largest global footprint of any other cloud vendor, AWS provides a robust and scalable platform to help organizations of all types and sizes innovate quickly.
AWS offers multiple compute products allowing you to deploy, run, and scale your applications as virtual servers, containers, or code.
BDA402 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Everything generates logs. Applications, infrastructure, security ... everything. Keeping track of the flood of log data is a big challenge, yet critical to your ability to understand your systems and troubleshoot (or prevent) issues. In this session, we will use both Amazon CloudWatch and application logs to show you how to build an end-to-end log analytics solution. First, we cover how to configure an Amazon Elaticsearch Service domain and ingest data into it using Amazon Kinesis Firehose, demonstrating how easy it is to transform data with Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data and configure a secure analytics environment. We demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
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.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects.
In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
AWS January 2016 Webinar Series - Getting Started with Big Data on AWSAmazon Web Services
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
Learning Objectives:
Learn about big data tools available at AWS
Understand ideal use cases
Learn some of the key considerations such as performance, scalability, elasticity and availability, when selecting big data tools
Who Should Attend:
Data Architects, Data Scientists, Developers
Building and running your business starts with compute, whether you are building mobile apps, or running massive clusters to sequence the human genome. AWS has over 70 infrastructure services and plans to deliver more than 1,000 new features in 2016. With more than twice as many compute instance families, twice the compliance certifications, and the largest global footprint of any other cloud vendor, AWS provides a robust and scalable platform to help organizations of all types and sizes innovate quickly.
AWS offers multiple compute products allowing you to deploy, run, and scale your applications as virtual servers, containers, or code.
BDA402 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Everything generates logs. Applications, infrastructure, security ... everything. Keeping track of the flood of log data is a big challenge, yet critical to your ability to understand your systems and troubleshoot (or prevent) issues. In this session, we will use both Amazon CloudWatch and application logs to show you how to build an end-to-end log analytics solution. First, we cover how to configure an Amazon Elaticsearch Service domain and ingest data into it using Amazon Kinesis Firehose, demonstrating how easy it is to transform data with Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data and configure a secure analytics environment. We demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports.
Getting Started with AWS Lambda and the Serverless Cloud - AWS Summit Cape T...Amazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS Speaker : Danilo Poccia, Technical Evangelist - Amazon Web Services
Leo Zhadanovsky, Senior Solutions Architect at Amazon Web Services, shows how to run content management systems such as Drupal, WordPress and Jekyll on Amazon Web Services in a way that is scalable, highly-available and economical.
The slides feature how to architect websites in the cloud so they are secure and allow for rapid iteration and change without downtime.
AWS re:Invent 2016: Wild Rydes Takes Off – The Dawn of a New Unicorn (SVR309)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 Batch: Simplifying batch computing in the cloudAdrian Hornsby
Docker enables you to create highly customized images that are used to execute your jobs. These images allow you to easily share complex applications between teams and even organizations. However, sometimes you might just need to run a script! This talk walk you through the steps to create and run a simple “fetch & run” job in AWS Batch. AWS Batch executes jobs as Docker containers using Amazon ECS. You build a simple Docker image containing a helper application that can download your script or even a zip file from Amazon S3. AWS Batch then launches an instance of your container image to retrieve your script and run your job.
"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: Bring Microsoft Applications to AWS to Save Money and Sta...Amazon Web Services
Running Microsoft workloads on AWS is easy and can save you money. This session will cover how to bring your own Microsoft licenses to AWS, and then demonstrate using PowerShell to import your Windows Server image from Vmware or Hyper-V, configure Windows KMS with your license key, and launch an EC2 Dedicated Host. We will discuss ways you can use AWS Config rules to manage license compliance.
Amazon WorkSpaces provides businesses with secure, managed desktops in the Amazon cloud, and offers an enhanced security posture, the ability to support the needs of a modern mobile workforce, and the flexibility to scale globally. In this session, you’ll hear about how organizations can simplify end user computing by moving desktops to the cloud. The session will cover identity and access management, network access and design, integration with on-premises IT infrastructure, application delivery, and the end user experience. This session is for enterprise IT professionals interested in learning best practices for deploying Amazon WorkSpaces at scale. Topics will include security and network access, identity and access management, application delivery, and end user experience.
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.
Building and Managing Scalable Applications on AWS: 1 to 500K usersAmazon Web Services
This presentation session from the Cloud Management, Services and Applications Theatre at Cloud Expo Europe 2014 explores the techniques and AWS services that you can use in order to build high scalability web applications on AWS. It also features a great overview of a high-scalability mobile application built by Myriad Group, and AWS customer, that serves over 41 million users.
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
Amazon Web Services ofrece un amplio conjunto de productos globales basados en la nube, incluidas aplicaciones de informática, almacenamiento, bases de datos, análisis, redes, móviles, herramientas para desarrolladores, herramientas de administración, IoT, seguridad y empresariales.
HSBC and AWS Day - Security Identity and Access ManagementAmazon Web Services
Security, Identity, and Access Management
·AWS Shared Responsibility Model
·Security measures provided by AWS
·AWS Identity and Access Management (IAM) concepts including users, groups, roles and policies
Azure vs AWS Best Practices: What You Need to KnowRightScale
Azure is now the clear #2 in public cloud behind AWS. While some cloud users are evaluating Azure vs. AWS, many enterprises are planning to use both cloud providers. But there are some notable differences between how the two clouds operate and the best practices for deploying workloads in each.
The Azure vs. AWS Best Practices: What You Need to Know webinar will cover:
Recent and coming enhancements for Azure.
Azure vs. AWS differences for compute, networking, and storage.
Best practices for cloud deployments in Azure and AWS.
How to use both Azure and AWS.
AWS re:Invent 2016: Datapipe Open Source: Image Development Pipeline (ARC319)Amazon Web Services
For an IT organization to be successful in rapid cloud assessment or iterative migration of their infrastructure and applications to AWS, they need to effectively plan and execute on a strategic cloud strategy that focuses not only on cloud, but also big data, DevOps, and security. Session sponsored by Datapipe.
AWS Competency Partner
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 Summit 2014 Melbourne - Breakout 5
Technical deep dive in to 10 AWS Cloud best practices with in-depth look at the tips and tricks of architecting on the AWS platform.
Presenter: Dean Samuels, Solutions Architect, Amazon Web Services
As companies shift workloads into the cloud, IT organizations are required to manage an increasing number of cloud resources. AWS provides a broad set of services that help IT organizations with provisioning, tracking, auditing, configuration management, and cost management of their AWS resources. In this session, we will explore the AWS Management Tools suite of services that support the lifecycle management of AWS resources at scale and enable IT governance and compliance. The Deep Dive on AWS Management Tools session will benefit both new and experienced IT administrators, systems administrators, and developers operating infrastructure on AWS and interested in learning about the AWS resource management capabilities.
If you could not be one of the 60,000+ in attendance at Amazon AWS re:Invent, the yearly Amazon Cloud Conference, get the 411 on what major announcements that were made in Las Vegas. This presentation covers new AWS services & products, exciting announcements, and updated features.
AWS Fundamentals @Back2School by CloudZoneIdan Tohami
This class is all about the basics. Here you will learn about the services AWS has to offer in compute, storage, databases and various application services.
Getting Started with AWS Lambda and the Serverless Cloud - AWS Summit Cape T...Amazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS Speaker : Danilo Poccia, Technical Evangelist - Amazon Web Services
Leo Zhadanovsky, Senior Solutions Architect at Amazon Web Services, shows how to run content management systems such as Drupal, WordPress and Jekyll on Amazon Web Services in a way that is scalable, highly-available and economical.
The slides feature how to architect websites in the cloud so they are secure and allow for rapid iteration and change without downtime.
AWS re:Invent 2016: Wild Rydes Takes Off – The Dawn of a New Unicorn (SVR309)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 Batch: Simplifying batch computing in the cloudAdrian Hornsby
Docker enables you to create highly customized images that are used to execute your jobs. These images allow you to easily share complex applications between teams and even organizations. However, sometimes you might just need to run a script! This talk walk you through the steps to create and run a simple “fetch & run” job in AWS Batch. AWS Batch executes jobs as Docker containers using Amazon ECS. You build a simple Docker image containing a helper application that can download your script or even a zip file from Amazon S3. AWS Batch then launches an instance of your container image to retrieve your script and run your job.
"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: Bring Microsoft Applications to AWS to Save Money and Sta...Amazon Web Services
Running Microsoft workloads on AWS is easy and can save you money. This session will cover how to bring your own Microsoft licenses to AWS, and then demonstrate using PowerShell to import your Windows Server image from Vmware or Hyper-V, configure Windows KMS with your license key, and launch an EC2 Dedicated Host. We will discuss ways you can use AWS Config rules to manage license compliance.
Amazon WorkSpaces provides businesses with secure, managed desktops in the Amazon cloud, and offers an enhanced security posture, the ability to support the needs of a modern mobile workforce, and the flexibility to scale globally. In this session, you’ll hear about how organizations can simplify end user computing by moving desktops to the cloud. The session will cover identity and access management, network access and design, integration with on-premises IT infrastructure, application delivery, and the end user experience. This session is for enterprise IT professionals interested in learning best practices for deploying Amazon WorkSpaces at scale. Topics will include security and network access, identity and access management, application delivery, and end user experience.
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.
Building and Managing Scalable Applications on AWS: 1 to 500K usersAmazon Web Services
This presentation session from the Cloud Management, Services and Applications Theatre at Cloud Expo Europe 2014 explores the techniques and AWS services that you can use in order to build high scalability web applications on AWS. It also features a great overview of a high-scalability mobile application built by Myriad Group, and AWS customer, that serves over 41 million users.
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
Amazon Web Services ofrece un amplio conjunto de productos globales basados en la nube, incluidas aplicaciones de informática, almacenamiento, bases de datos, análisis, redes, móviles, herramientas para desarrolladores, herramientas de administración, IoT, seguridad y empresariales.
HSBC and AWS Day - Security Identity and Access ManagementAmazon Web Services
Security, Identity, and Access Management
·AWS Shared Responsibility Model
·Security measures provided by AWS
·AWS Identity and Access Management (IAM) concepts including users, groups, roles and policies
Azure vs AWS Best Practices: What You Need to KnowRightScale
Azure is now the clear #2 in public cloud behind AWS. While some cloud users are evaluating Azure vs. AWS, many enterprises are planning to use both cloud providers. But there are some notable differences between how the two clouds operate and the best practices for deploying workloads in each.
The Azure vs. AWS Best Practices: What You Need to Know webinar will cover:
Recent and coming enhancements for Azure.
Azure vs. AWS differences for compute, networking, and storage.
Best practices for cloud deployments in Azure and AWS.
How to use both Azure and AWS.
AWS re:Invent 2016: Datapipe Open Source: Image Development Pipeline (ARC319)Amazon Web Services
For an IT organization to be successful in rapid cloud assessment or iterative migration of their infrastructure and applications to AWS, they need to effectively plan and execute on a strategic cloud strategy that focuses not only on cloud, but also big data, DevOps, and security. Session sponsored by Datapipe.
AWS Competency Partner
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 Summit 2014 Melbourne - Breakout 5
Technical deep dive in to 10 AWS Cloud best practices with in-depth look at the tips and tricks of architecting on the AWS platform.
Presenter: Dean Samuels, Solutions Architect, Amazon Web Services
As companies shift workloads into the cloud, IT organizations are required to manage an increasing number of cloud resources. AWS provides a broad set of services that help IT organizations with provisioning, tracking, auditing, configuration management, and cost management of their AWS resources. In this session, we will explore the AWS Management Tools suite of services that support the lifecycle management of AWS resources at scale and enable IT governance and compliance. The Deep Dive on AWS Management Tools session will benefit both new and experienced IT administrators, systems administrators, and developers operating infrastructure on AWS and interested in learning about the AWS resource management capabilities.
If you could not be one of the 60,000+ in attendance at Amazon AWS re:Invent, the yearly Amazon Cloud Conference, get the 411 on what major announcements that were made in Las Vegas. This presentation covers new AWS services & products, exciting announcements, and updated features.
AWS Fundamentals @Back2School by CloudZoneIdan Tohami
This class is all about the basics. Here you will learn about the services AWS has to offer in compute, storage, databases and various application services.
Uses, considerations, and recommendations for AWSScalar Decisions
From an information session on Amazon Web Services (AWS), looking at uses, considerations, and recommendations for leveraging AWS in your organization.
Topics covered:
- AWS Services Overview
- Some ideal use cases: Disaster Recovery, Backup and Archive, Test/Dev
- Data residency and security considerations
by Harrell Stiles, Sr. Consultant, AWS ProServe
Batch computing is a common way to run a series of programs, called batch jobs, on a large pool of shared compute resources, such as servers, virtual machines, and containers. But running batch workloads at scale is a challenging task, configuring and scaling a cluster of virtual machines to process complex batch jobs is difficult and resource intensive. In this session, we’ll discuss options and best practices for running batch jobs on AWS including AWS Batch, a fully managed batch-processing service, and building batch processing architectures with the Amazon EC2 Container Service. We’ll also discuss best practices for ensuring efficient and opportunistic scheduling, fine-grained monitoring, compute resource auto-scaling, and security for batch jobs. Level 200
This is presentation on AWS that is Amazon Web Services, based on material available on internet and white papers of Amazon Web services. I have included almost all the major services offered by AWS, presently i am working to include more content like benefits , use cases and links to various videos available on youtube. I have used all the authorized symbols for each service, In case of doubt please feel free to contact me on my email randhawa79@gmail.com
Batch Processing with Containers on AWS - June 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the options for running batch workloads on AWS
- Learn how to architect a containerized batch processing service on Amazon ECS
- Learn best practices for optimizing and scaling complex batch workload requirements
Batch processing is useful when you need to periodically analyze large amounts of data, but configuring and scaling a cluster of virtual machines to process complex batch jobs can be difficult. Containers provide a great solution for running batch jobs by providing easily managed, scalable, and portable code environments.
In this tech talk, we’ll show you how to use containers on AWS for batch processing jobs that can scale quickly and cost-effectively. We’ll discuss AWS Batch, our fully managed batch-processing service, and show you how to architect your own batch processing service using the Amazon EC2 Container Service. We’ll also discuss best practices for ensuring efficient and opportunistic scheduling, fine-grained monitoring, compute resource auto-scaling, and security for your batch jobs.
New to cloud computing? This recorded webinar helps you understand cloud capabilities and how it has made easier server deployment, infrastructure planning and capacity planning. This webinar takes you through an introduction to AWS components and how you can decide and design the best environment for your business.
AWS Summit 2013 | India - Scaling Seamlessly and Going Global with the Cloud,...Amazon Web Services
AWS provides a platform that is ideally suited for deploying highly available and reliable systems that can scale with a minimal amount of human interaction. This talk describes a set of architectural patterns that support highly available services that are also scalable, low cost, low latency and allow for taking your application global with the click of a button. We walk through the various architectural decisions taken to achieve high scale and address global audience.
Learn about the patterns and techniques a business should be using in building their infrastructure on Amazon Web Services to be able to handle rapid growth and success in the early days. From leveraging highly scalable AWS services, to architecting best patterns, there are a number of smart choices you can make early on to help you overcome some typical infrastructure issues.
Presenter: Chris Munns,Solutions Architect, Amazon Web Services
What do companies with internal platforms have to change to succeed in the cloud? The four pillars at the heart of IT solutions in the cloud are reliability, performance efficiency, security, and cost optimization. This talk discusses cloud well-architected patterns and the tools that facilitate the development and automate the DevOps process. The talk also provides concrete examples of serverless architecture and migration adoption.
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; choosing the optimal instance type through load testing; taking advantage of Multi-AZ support; and using Amazon CloudWatch to monitor usage and automatically shut off resources when they are not in use. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by leveraging AWS high-level services. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the Amazon Cloud.
Attendees of this session receive a free 30-day trial of enterprise-level Trusted Advisor.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
2. $whoami
• "Hands-On" system Architect with more than 17 years of experience
with billing, banking, information security (DLP) and Cloud IoT/Big
Data applications.
• Big Data specialist – Hadoop, Spark, Hive and EMR on AWS.
• Work with vast AWS services, and with serverless projects especially.
• Java development, scalability performance and stabilization expert.
• Chatbots and Alexa skills developer (Are you also interested? Go to
www.israelclouds.com to read my articles).
• Love to share my experience in lectures and meetups.
• Part of AWS-IL user group leadership team (5684 members!).
LinkedIn profile
3. What to expect from this session
• Cloud Computing with Amazon Web Services.
• AWS Cloud Solutions.
• Using AWS basic building blocks.
• Containers in AWS.
• Big Data and the Data lake implementation in AWS.
• Machine Learning and AI in AWS.
• AWS Security & Compliance.
• Pricing - How does AWS pricing work?
17. Gartner’s Infrastructure as a Service (IaaS) Magic Quadrant 2017
• AWS Named as a Leader
in Gartner’s Infrastructure
as a Service (IaaS) Magic
Quadrant for 7th
Consecutive Year.
19. Trade capital expense for variable expense
• Instead of having to invest heavily in data centers
and servers before you know how you’re going to
use them, you can pay only when you consume
computing resources, and pay only for how much
you consume.
20. Benefit from massive economies of scale
• By using cloud computing, you can achieve a
lower variable cost than you can get on your own.
• Because usage from hundreds of thousands of
customers is aggregated in the cloud, providers
such as AWS can achieve higher economies of
scale, which translates into lower pay as-you-go
prices.
21. Stop guessing about capacity
• When you make a capacity decision prior to
deploying an application, you often end up either
sitting on expensive idle resources or dealing with
limited capacity.
• With cloud computing, these problems go away.
You can access as much or as little capacity as
you need, and scale up and down as required with
only a few minutes’ notice.
22. Increase speed and agility
• In a cloud computing environment, new IT
resources are only a click away, which means that
you reduce the time to make those resources
available to your developers from weeks to just
minutes.
• This results in a dramatic increase in agility for the
organization, since the cost and time it takes to
experiment and develop is significantly lower.
23. Stop spending money running and maintaining data centers
• Focus on projects that differentiate your business,
not the infrastructure.
• Cloud computing lets you focus on your own
customers, rather than on the heavy lifting of
racking, stacking, and powering servers.
24. Go global in minutes
• Easily deploy your application in multiple regions
around the world with just a few clicks.
• This means you can provide lower latency and a
better experience for your customers at minimal
cost.
26. AWS Regions and Availability Zones
• The AWS Cloud infrastructure is built around
Regions and Availability Zones (AZs).
• AWS Regions provide multiple, physically
separated and isolated Availability Zones which
are connected with low latency, high throughput,
and highly redundant networking.
• Availability Zones are physically separated within
a typical metropolitan region and are located in
lower risk flood plains.
27. Availability Zones - Benefits
• Availability Zones offer AWS customers an easier
and more effective way to design and operate
applications and databases, making them:
– Highly available
– Fault tolerant
– Scalable
34. Solutions by Application
• Amazon Web Services offers a broad set of
global cloud-based products including
compute, storage, databases, analytics,
networking, mobile, developer tools,
management tools, IoT, security and
enterprise applications.
38. Amazon S3
• Object storage built to store and retrieve any amount of
data from anywhere.
39. AWS Lambda – Serverless Compute
• Run code without thinking about servers. Pay only for the
compute time you consume.
• Just upload your code and Lambda takes care of
everything required to run and scale your code with high
availability.
• You can set up your code to automatically trigger from
other AWS services or call it directly from any web or
mobile app.
41. AWS Cloud Platform
• AWS consists of many cloud services that
you can use in combinations tailored to your
business or organizational needs.
• To access the services, you can use the
AWS Management Console, the Command
Line Interface, or Software Development
Kits (SDKs).
45. Containers in AWS - Amazon Elastic
Container Service, Fargate, and EKS
46. Amazon EC2 Container Service
• Amazon Elastic Container Service (Amazon ECS) is a
highly scalable, high-performance container orchestration
service that supports Docker containers and allows you to
easily run and scale containerized applications on AWS.
• Amazon ECS eliminates the need for you to install and
operate your own container orchestration software,
manage and scale a cluster of virtual machines, or
schedule containers on those virtual machines.
48. Amazon Elastic Container Registry
• Amazon Elastic Container Registry (Amazon ECR) is a
managed AWS Docker registry service that is secure,
scalable, and reliable.
• Amazon ECR supports private Docker repositories with
resource-based permissions using AWS IAM so that
specific users or Amazon EC2 instances can access
repositories and images.
• Developers can use the Docker CLI to push, pull, and
manage images.
49. Amazon ECS Clusters
• An Amazon ECS cluster is a logical grouping of tasks or
services.
• If you are running tasks or services that use the EC2
launch type, a cluster is also a grouping of container
instances.
• When you first use Amazon ECS, a default cluster is
created for you, but you can create multiple clusters in an
account to keep your resources separate.
50. Amazon ECS Task Definitions
• A task definition is required to run Docker containers in
Amazon ECS. Some of the parameters you can specify in
a task definition include:
– The Docker images to use with the containers in your task
– How much CPU and memory to use with each container
– The launch type to use, which determines the infrastructure on which your tasks are hosted
– Whether containers are linked together in a task
– The Docker networking mode to use for the containers in your task
– (Optional) The ports from the container to map to the host container instance
– Whether the task should continue to run if the container finishes or fails
– The command the container should run when it is started
– (Optional) The environment variables that should be passed to the container when it starts
– Any data volumes that should be used with the containers in the task
– (Optional) The IAM role that your tasks should use for permissions
51. Services
• Amazon ECS allows you to run and maintain a specified
number of instances of a task definition simultaneously in
an Amazon ECS cluster.
• This is called a service.
• If any of your tasks should fail or stop for any reason, the
Amazon ECS service scheduler launches another instance
of your task definition to replace it and maintain the desired
count of tasks in the service.
52. AWS Fargate - Run containers without managing servers or clusters
• With AWS Fargate, you no longer have to provision,
configure, and scale clusters of virtual machines to run
containers.
• With AWS Fargate, you no longer have to provision,
configure, and scale clusters of virtual machines to run
containers.
• Fargate lets you focus on designing and building your
applications instead of managing the infrastructure that
runs them.
55. Amazon Elastic Container Service for Kubernetes
• Amazon Elastic Container Service for Kubernetes
(Amazon EKS) makes it easy to deploy, manage, and
scale containerized applications using Kubernetes on
AWS.
• Amazon EKS runs the Kubernetes management
infrastructure for you across multiple AWS availability
zones to eliminate a single point of failure.
• Applications running on any standard Kubernetes
environment are fully compatible and can be easily
migrated to Amazon EKS.
57. Big Data in AWS - Amazon EMR, Athena,
Kinesis and data lakes
58. Amazon EMR
• Easily Run and Scale Apache Hadoop, Spark, HBase,
Presto, Hive, and other Big Data Frameworks.
• Amazon EMR provides a managed Hadoop framework
that makes it easy, fast, and cost-effective to process vast
amounts of data across dynamically scalable Amazon EC2
instances.
61. Amazon Athena - Serverless Interactive Query Service
• Start querying data instantly. Get results in seconds. Pay
only for the queries you run.
• Amazon Athena is an interactive query service that makes
it easy to analyze data in Amazon S3 using standard SQL.
• Athena is serverless, so there is no infrastructure to
manage, and you pay only for the queries that you run.
• Athena is easy to use. Simply point to your data in Amazon
S3, define the schema, and start querying using standard
SQL.
62. Amazon Athena - Features
• Start Querying Instantly - Serverless. No ETL.
• Pay Per Query - Only pay for data scanned.
• Open. Powerful. Standard - Built on Presto. Runs standard
SQL (supports CSV, JSON, ORC, Avro, and Parquet).
• Fast. Really Fast - Interactive performance even for large
datasets. You don't have to worry about having enough
compute resources to get fast, interactive query
performance.
64. Amazon Kinesis
• Easily collect, process, and analyze video and data
streams in real time.
• Amazon Kinesis makes it easy to collect, process, and
analyze real-time, streaming data so you can get timely
insights and react quickly to new information.
71. Amazon Lex
• Conversational interfaces for your applications.
• Powered by the same deep learning technologies as
Alexa.
• Amazon Lex provides the advanced deep learning
functionalities of automatic speech recognition (ASR) for
converting speech to text, and natural language
understanding (NLU):
– To recognize the intent of the text.
– To enable you to build applications with highly engaging user experiences
and lifelike conversational interactions.
74. Amazon Rekognition – Video and Image
• Amazon Rekognition makes it easy to add image and
video analysis to your applications.
• You just provide an image or video to the Rekognition API, and the service can
identify the:
– Objects
– People
– Text
– Scenes
– Activities
– Any inappropriate content.
• Amazon Rekognition also provides highly accurate facial analysis and facial
recognition on images and video that you provide.
79. Amazon SageMaker
• Amazon SageMaker is a fully-managed platform that
enables developers and data scientists to quickly and
easily build, train, and deploy machine learning models at
any scale.
• Amazon SageMaker removes all the barriers that typically
slow down developers who want to use machine learning.
83. Amazon Alexa
• Amazon Alexa is a virtual assistant developed by Amazon,
first used in the Amazon Echo and the Amazon Echo
Dot smart speakers developed by Amazon Lab126.
• It is capable of voice interaction, music playback, making
to-do lists, setting alarms, streaming podcasts, playing
audiobooks, and providing weather, traffic, sports, and
other real-time information, such as news.
90. AWS Identity and Access Management (IAM(
• AWS Identity and Access Management (IAM( enables you
to manage access to AWS services and resources
securely.
• Using IAM, you can create and manage AWS users and
groups, and use permissions to allow and deny their
access to AWS resources.
• AM is a feature of your AWS account offered at no
additional charge. You will be charged only for use of
other AWS services by your users.
94. Simple Monthly Calculator
• Whether you are running a single instance or dozens of
individual services, you can estimate your monthly bill
using AWS Simple Monthly Calculator. The calculator
allows you to estimate individual or multiple prices and use
templates to appraise complete solutions.
100. We are hiring!
• Senior Data Scientist
• Senior Designer (UI/UX(
• Senior Full Stack Developer
• Java Developer
• Senior Manual QA
• Director of Ops
• BI Analyst
• Data Management Analyst
• Customer Success Manager
• Senior BI Analyst