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?
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
