This document provides an overview of Amazon Web Services (AWS) and its cloud computing capabilities. It discusses key benefits of cloud computing like agility, innovation, and focus on business problems. It then describes AWS' global infrastructure, regions, availability zones, and edge locations. The rest of the document summarizes many AWS services across various categories like compute, networking, storage, databases, analytics, developer tools, and management. It emphasizes AWS' pace of innovation, large customer base, and how no organization can remain competitive without leveraging cloud computing on AWS.

1. AWS BASICS
Marko Baric
@markobaric

2. WHY CLOUD?

3. #1
AGILE INVESTING
No upfront investment
No capacity planning
Spend as you grow
Reduced running costs

4. #2
INNOVATION
Experiment
Innovate and refactor rapidly
Fail often without risk

5. #3
FOCUS ON BUSINESS PROBLEM
No need to build fundamental services
(computing, storage, database, messaging,
analysis, etc.)
Instead build your app

6. RUNNING IN TRADITIONAL DATACENTERS
• Need to predict capacity
• Procurement of servers takes months to complete
• Large investment upfront - might not pay off
• On-premises datacenters provide basic compute and
storage only
• Once you build it, you're frozen in time

7. RUNNING IN CLOUD
• No upfront costs
• Pay as you grow
• Vast ecosystem of platform services
• Ready to be used immediately - no delays for procurement
• More secure
• More robust
• Built with all best practices in mind
• Constantly improved and extended with new features

8. You can't be competitive today
if you're not running in cloud !

9. INCREDIBLE
PACE OF INNOVATION

10. 2008 2009 2010 2011 2012 2013 2014 2015 2016
0
250
500
750
1000
>1000
24 48
61
82
159
280
516
722
NUMBER OF NEW SERVICES AND FEATURES RELEASED

11. >2,400
Services and Features

12. 55% growth
year-over-year

13. $11.1 billion
revenue in 2016

14. GARTNER MAGIC QUADRANT
• "furthest
completeness
of vision"
• "highest ability to
execute"
• "broadest range of
customers and use
cases"

15. AWS runs
10x more compute power
than all other cloud providers
combined!

16. >1 million
active customers (companies)

17. STARTUP CUSTOMERS

18. ENTERPRISE CUSTOMERS

19. How broad is AWS platform?

20. Amazon
S3
Compute
Amazon
EC2
Elastic Load
Balancing
Auto
Scaling
Amazon
VPC
Amazon
Route 53
Networking Storage and Content Delivery
Amazon
CloudFront
Amazon
Glacier
Amazon
EFS
AWS
Storage
Gateway
AWS
Elastic
Beanstalk
Amazon
ECS
Amazon
DynamoDB
Amazon
RDS
Amazon
ElastiCache
Amazon
Redshift
AWS Database
Migration
Service
Database
AWS
Direct
Connect
Amazon
CloudWatch
AWS
Cloud
Formation
AWS
CloudTrail
AWS
Config
AWS
OpsWorks
AWS
Trusted
Advisor
Management tools
AWS
CodeCommit
AWS
CodeDeploy
AWS
CodePipeline
Developer tools
Security and Identity
AWS IAM AWS
KMS
AWS
Directory
Service
AWS
CloudHSM
Amazon
Inspector
AWS WAF
Analytics
Amazon
Elasticsearch
Service
Amazon
EMR
Amazon
Kinesis
Amazon
Machine
Learning
Amazon
QuickSight
AWS
Data
Pipeline
IoT
AWS IoT
Amazon
Cognito
Amazon
MobileAnalytics
Amazon
SNS
AWS
Device Farm
AWS
Mobile Hub
Mobile Services Application Services
Amazon API
Gateway
Amazon
AppStream
Amazon
CloudSearch
Amazon Elastic
Transcoder
Amazon
SES
Amazon
SQS
Amazon
SWF
AWS
Lambda
Snowball
AWS
CodeBuild
AWS
Service
Catalog
AWS ACM
Enterprise Applications
Amazon
WorkDocs
Amazon
WorkMail
Amazon
WorkSpaces

21. Now let's go technical

22. AWS GLOBAL
INFRASTRUCTURE

23. Region
Availability
Zone A
Availability
Zone C
Availability
Zone B
Availability
Zone A
Availability
Zone C
Availability
Zone B
Availability
Zone D
Availability
Zone E
Region
DATA
CENTER
DATA
CENTER
DATA
CENTER

24. 16 Regions
42 Availability Zones
69 Edge Locations

25. OVERVIEW OF SERVICES
...get ready for abbreviation hell

26. COMPUTE SERVICES

27. • Virtual servers in the cloud
• Multiple operating systems supported:
‣ Amazon Linux, Red Hat Enterprise, SUSE, Ubuntu, Windows Server
• Range of different machine flavours:
‣ General purpose, memory optimised, I/O optimised, GPU optimised, FPGA
• Range of different instance types:
‣ T2, M3, M4, C3, C4, R3, R4, X1, P2, G2, F1, I3, D2
• Range of different compute power:
‣ nano, micro, small, medium, large, xlarge, 2xlarge, 3xlarge, etc....
‣ From 0.5 GB RAM / 1 vCPU
‣ To 1952 GB RAM / 128 vCPU
• Range of pricing models:
‣ On-demand instances, reserved instances, spot instances, dedicated
hosts, placement groups, etc.
Amazon EC2
Amazon EC2

28. • Scale in and out based on your own scaling policies
• Manual, dynamic scaling or scheduled scaling
• Instance health checks
• Monitoring
• Logging of scaling events
• Cooldown periods
• Lifecycle hooks
Auto Scaling
Auto Scaling

29. • Distributes traffic across fleet of EC2 instances
• Highly scalable - can handle any load
• Instance health checks
• SSL offloading
• Supports IPv6, HTTP/2 and WebSockets
• Two flavours:
‣ Classic balancing (on network level - layer 3)
‣ Application balancing (on application level - layer 7)
Elastic
Load Balancing
Elastic Load Balancing

30. • Function-as-a-service
• Event-driven serverless compute service
• Pay only for execution time, never pay for idle time
• Automatically scales to handle ANY load
• Supports functions in JavaScript, C#, Java, Python
• Execution monitoring
AWS
Lambda
AWS Lambda

31. NETWORKING SERVICES

32. • Logically isolated section of AWS cloud
• Think of it as your own "private virtual data centre in the
cloud"
• Define your own virtual networking, subnets, route tables,
internet gateways, NATs, access lists, etc.
• Manage group of your resources as one unit
Amazon
VPC
Amazon VPC

33. • Managed DNS service
• Public and private hosted zones
• Endpoint health checks
• Routing options:
‣ latency based
‣ geolocation based
‣ weighted routing
Amazon
Route 53
Amazon Route 53

34. STORAGE SERVICES

35. • Low latency, high throughput "object" storage
• Unlimited size
• Max object size for a singe object is 5TB
• 99.999999999% durability
• Cross-AZ / Cross-region replication
• Ideal for backup storage, bulk file storage, data lakes,
analytics, etc.
• Encryption in-transit and at-rest
• Object versioning
• Object lifecycle management
• 3 storage classes: standard, infrequent access and reduced
redundancy
Amazon S3
Amazon S3

36. • Petabyte-scale storage
• Ideal for infrequently accessed files (e.g. archives)
• Extremely low-cost
‣ $0.004 per gigabyte per month
• Two price classes:
‣ Standard - data retrieval time 3-5 hours
‣ Expedited - data retrieval time 1-5 minutes
Amazon Glacier
Amazon Glacier

37. CONTENT DELIVERY
SERVICES

38. • Global content delivery network (CDN)
• Advanced security features (access policies, request signing,
cookie signing)
• Supports IPv6, HTTP/2 and WebSockets
• Edge location available in any relevant place in the world
• You can even run application logic on the edge location
Amazon
CloudFront
Amazon CloudFront

39. • Blocks traffic at the edge
• Protects from common web exploits
• Customisable filters based on:
‣ request headers
‣ request content
‣ source IP
‣ request size
• Automatic SQL injection protection, automatic XSS protection
• Can be set up on ELB or CloudFront
• AWS Shield - advanced DDoS detection and protection
AWS WAF
AWS WAF

40. DATABASE SERVICES

41. • Fully managed NoSql data store
• Seamless scaling to support any load
• Supports any number of indexes with projected columns
• Automatic data partitioning
• Can stream data changes to other sources
Amazon
DynamoDB
Amazon DynamoDB

42. • Fully managed relational database service
• Supports MySQL, MariaDB, SQL Server, PostgreSQL, Oracle
and Amazon Aurora
• Automatic backups with "point in time" restore
• Multi-AZ deployments with synchronous read replicas
• Automatic failover
• Advanced DB instance monitoring
• Amazon Aurora
‣ five times the throughput of standard MySQL
‣ data replicated to 6 replicas by default (up to 15)
‣ supports databases up to 64 GB in size
‣ continuous backup to S3
Amazon
RDS
Amazon RDS

43. MANAGEMENT SERVICES

44. • Central point of monitoring of logs, events and metrics
• Integrated with all other services
• Set alarms to automatically react to changes
Amazon
CloudWatch
Amazon CloudWatch

45. • Records every API call
• Essential for compliance auditing
• Streams logs to CloudWatch
Amazon
CloudTrail
Amazon CoudTrail

46. • Infrastructure-as-a-code service
• Spin up entire stacks od resources with a single click
• Plays key role in deployment automation
• Stacks can be defined in JSON or YAML syntax
AWS
CloudFormation
Amazon CloudFormation

47. APPLICATION SERVICES

48. • Fast, scalable message queuing
• Supports any volume of messages - scales automatically
• Cost-effective way to decouple cloud applications
• Two types of queues:
‣ Standard
‣ FIFO
Amazon
SQS
Amazon SQS

49. • Fast reliable push notification service
• Simple pub-sub model
• Can deliver to following subscribers:
‣ Mobile notifications
‣ SMS messages
‣ SQS queues
‣ HTTP/HTTPS endpoints
‣ Lambda functions
Amazon
SNS
Amazon SNS

50. ANALYTICS SERVICES

51. • Reliable data streaming
• Supports TBs of data per hour from thousands of sources
• Emit stream data between AWS services
• Apply SQL queries directly on the stream data for analytics
• Deliver stream data directly to S3 or Redshift (warehouse)
Amazon
Kinesis
Amazon Kinesis

52. DEVELOPER SERVICES

53. • Services for continuous integration and deployment
• Integrated with the AWS ecosystem (e.g. OpsWorks)
• Works with external services (GitHub, Jenkins, Docker, etc.)
AWS
CodePipeline
Developer Services
AWS
CodeDeploy
AWS
CodeCommit
AWS
CodeBuild

54. And about...
50
more services

55. No one will be running their datacenter
in few years, it's your last chance
to adapt.

56. THANK YOU!

57. Q & A