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Best of re:Invent 2016| Jan. 2017
Best of
2016
Lahav Savir
Co-founder and CTO
AllCloud
Best of re:Invent 2016| Jan. 2017
Agenda
● Intro - Lahav Savir
● CI / CD News - Johanan Liebermann
● Serverless News - Yakir Eliyahu
● Security News - Hemed Gur Ary
● Data News - Shay Gury
● Q&A Panel - AllCloud’ers
Pizza &
Beer
allowed at all
tim
es
Best of re:Invent 2016| Jan. 2017
A Global Leader in Cloud
Transformation and Adoption
with expertise across the cloud
stack, Infrastructure, Platform,
and Software-as-a-Service.
Best of re:Invent 2016| Jan. 2017
The AllCloud Solutions Framework
Infrastructure-as-a-Service
Platform-as-a-Service
Software-as-a-Service
Solutions Partners
Enablement
Advisory
Best of re:Invent 2016| Jan. 2017
“AWS Managed Service Partners
are skilled at cloud infrastructure
and application migration, and
deliver value to customers by
offering proactive monitoring,
automation, and management of
their customer’s environment.”
https://aws.amazon.com/partners/msp/
http://www.emind.co/msp
AWS Next-Gen (v3) Managed Service Partner (MSP)
Best of re:Invent 2016| Jan. 2017
www.allcloud.io
Best of re:Invent 2016| Jan. 2017
Democracy of Infrastructure and Services
Infrastructure-as-a-Service
Platform-as-a-Service
Software-as-a-Service
Best of re:Invent 2016| Jan. 2017
www.allcloud.io
● 32,000 Attendees
● +400 Technical Sessions
● One-of-a-kind re:Play party
Largest Cloud
Conference in History
Best of re:Invent 2016| Jan. 2017
New Services
● 22 New Services
● 22 New Features
● 5 New Instance Types
● 2 Price Reductions
● And a massive Snowmobile
Best of re:Invent 2016| Jan. 2017
www.allcloud.io
AWS completes and enhances its product pipelines
to offer fully managed services with minimal pain points.
Best of re:Invent 2016| Jan. 2017
www.allcloud.io
It’s the big player times
Best of re:Invent 2016| Jan. 2017
Where is it Heading?
16 Regions
+80 Services
Best of re:Invent 2016| Jan. 2017
CI/CD News
AWS CodeBuild, AWS OpsWorks for Chef Automate
Johanan Liebermann,
Software Developer, AllCloud
Best of re:Invent 2016| Jan. 2017
● Tiny startups can challenge giants
● Delivering a product to the masses is easy
● Release cycle takes days, not months
● Time to market can make or break your product
Today’s Software Moves Fast!
Best of re:Invent 2016| Jan. 2017
● Automate everything!
○ Source code management, builds, testing, deployment, configuration,
documentation, infrastructure...
● Operations time < Development time
● Do more with less people
● Short release cycle
How Can You Move Fast?
Best of re:Invent 2016| Jan. 2017
You Need Tools!
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
AWS CodePipeline AWS CodeDeploy AWS CodeCommit
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
Commit Build Test Production
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
Commit Build Test Production
AWS CodeCommit
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
Commit Build Test Production
Third-Party
Tooling
Third-Party
Tooling
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
Commit Build Test Production
AWS CodeDeploy
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
Commit Build Test Production
AWS CodePipeline
Best of re:Invent 2016| Jan. 2017
AWS Code* Services
Commit Build Test Production
AWS CodeCommit
Third-Party
Tooling
Third-Party
Tooling
AWS CodeDeploy
AWS CodePipeline
Best of re:Invent 2016| Jan. 2017
● Build and test code in the
cloud
● Scales continuously
● Charged by the minute
● Integrates with other
AWS services like
CodePipeline to automate
building and testing code
AWS CodeBuild
Best of re:Invent 2016| Jan. 2017
Deploying Code is Not Enough!
Best of re:Invent 2016| Jan. 2017
● Configuration
management service
● Fully-managed Chef
servers on AWS
● Includes premium
features of Chef
Automate
OpsWorks for
Chef Automate
Best of re:Invent 2016| Jan. 2017
Serverless News
AWS Step Functions
Yakir Eliyahu,
Cloud Architect, AllCloud
What is
Serverless?
Build and run applications
without thinking about servers
Let’s take a look at the evolution of computing
Physical servers
in datacenters
Virtual servers
in datacenters
Virtual servers
in the cloud
Each progressive step was better
Physical Servers
Datacenters
Virtual Servers
Datacenters
• Higher utilization
• Faster provisioning speed
• Improved uptime
• Disaster recovery
• Hardware independence
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
Virtual servers
in the cloud
But there are still limitations
Physical Servers
Datacenters
Virtual Servers
Datacenters
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
• Still need to administer
virtual servers
• Still need to manage
capacity and utilization
• Still need to size
workloads
• Still need to manage
availability, fault tolerance
• Still expensive to run
intermittent jobs
Virtual servers
in the cloud
Evolving
to Serverless
SERVERLESS
Virtual servers
in the cloud
Physical servers
in datacenters
Virtual servers
in datacenters
No server is easier to manage than no server
All of these responsibilities
go away
Provisioning and utilization
Availability and fault tolerance
Scaling
Operations and management
EVENT DRIVEN CONTINUOUS SCALING PAY BY USAGE
Deliver on demand, never pay for idle
Building blocks for serverless applications
AWS Lambda Amazon DynamoDB
Amazon SNS
Amazon API
Gateway
Amazon SQS
Amazon
Kinesis
Amazon S3
Orchestration and State Management
API Proxy Messaging and Queues Analytics
Monitoring and Debugging
Compute Storage Database
AWS X-Ray
AWS Step
Functions
Serverless changes how you deliver
Speeds up
time to market
Dedicated time
to innovation
Increases developer
productivity
Eliminates operational
complexity
Orchestration and state management
Best of re:Invent 2016| Jan. 2017
AWS Step
Functions
● Utilizes AWS Lambda which manages
the operations and underlying
infrastructure to help ensure your
application is available at any scale
● Easy to coordinate the components of
distributed applications and
microservices using visual workflows
● Building applications from individual
components that each perform a
discrete function lets you scale and
change applications quickly
● Makes it simple to build and run
multi-step applications
● Can use an Activity (process on a
VM/Contianer) for long-running tasks
1. A concept used by
CompSci profs for
torturing undergrads,
full of arcane math
2. A practical way to build
and manage modern
serverless apps
“State machine” (noun)
“I want to sequence functions”
“I want to call functions based on data”
“I want more control over retries”
“I want try/catch/finally”
“I have a workflow that runs for hours”
“I want to run functions in parallel”
Orchestration and state management
Introducing AWS Step Functions
Run cloud state machines
Coordinate components of
multi-step apps
Visualize application as a series of
steps
Handles thousands of workflows
and millions of simultaneous steps
Best of re:Invent 2016| Jan. 2017
Define your Application Visually as a Series of Steps
Best of re:Invent 2016| Jan. 2017
Verify Everything is Operating as Intended
Best of re:Invent 2016| Jan. 2017
Run and Scale Applications Reliably
Best of re:Invent 2016| Jan. 2017
Security News
AWS Shield
Hemed Gur Ary,
Security DevOps Engineer, AllCloud
Best of re:Invent 2016| Jan. 2017
AWS Shield
● Managed DDoS
Protection that
safeguards web
applications running on
AWS
● Provides always-on
detection and automatic
inline mitigations that
minimize application
downtime and latency
What is DDoS?
DDoS 101
What is DDoS?
Distributed Denial Of Service
DDoS attack trends
65%
Volumetric
17%
State exhaustion
18%
Application layer
Examples of DDoS attacks
HTTP GET flood
TCP SYN flood
UDP reflection attacks
Challenges in mitigating DDoS attacks
Challenges in mitigating DDoS attacks
Difficult to enable
Complex set-up Provision bandwidth
capacity
Application re-architecture
Challenges in mitigating DDoS attacks
Manual involvement
Operator involvement to
initiate mitigation
Re-route traffic via distant
scrubbing location
Increased time to
mitigate
Traditional
Datacenter
Challenges in mitigating DDoS attacks
Traffic re-routing = Increased latency for users
Traditional
Datacenter
Challenges in mitigating DDoS attacks
Expensive to use
AWS approach to DDoS protection
DDoS protections built into AWS
✓ Protection against most common
infrastructure attacks
✓ SYN/ACK Floods, UDP Floods,
Reflection attacks etc.
✓ No additional cost
DDoS mitigation
systems
DDoS Attack
Users
AWS Shield
AWS Integration
DDoS protection
without infrastructure
changes
Affordable
Don’t force unnecessary
trade-offs between cost and
availability
Flexible
Customize protections
for your applications
Always-On Detection
and Mitigation
Minimize impact on application
latency
Four key pillars…
AWS Shield
A Managed DDoS Protection Service
AWS Shield
Standard Protection Advanced Protection
Available to ALL AWS customers at
No Additional Cost
Paid service that provides additional
protections, features and benefits.
AWS Shield Standard
AWS Shield Standard
Layer 3/4 protection
✓ Automatic detection & mitigation
✓ Protection from most common
attacks (SYN/UDP Floods, Reflection
Attacks, etc.)
✓ Built into AWS services
Layer 7 protection
✓ AWS WAF for Layer 7 DDoS attack
mitigation
✓ Self-service & pay-as-you-go
AWS Shield Standard
Better protection than ever for your applications running on AWS
• Improved mitigations using proprietary BlackWatch systems
• Additional mitigation capacity
• Commitment to continuously improve detection and mitigation
• Still at no additional cost
AWS Shield Advanced
Managed DDoS Protection
AWS Shield Advanced
Application Load Balancer Classic Load Balancer Amazon CloudFront Amazon Route 53
Available today on …
AWS Shield Advanced
Available today in …
US East (N. Virginia) us-east-1
US West (Oregon) us-west-2
EU (Ireland) eu-west-1
Asia Pacific (Tokyo) ap-northeast-1
AWS Shield Advanced
Always-on monitoring &
detection
Advanced L3/4 & L7 DDoS
protection
Attack notification and
reporting
24x7 access to DDoS
Response Team
AWS bill protection
AWS Shield Advanced
Always-on monitoring &
detection
Advanced L3/4 & L7 DDoS
protection
Attack notification and
reporting
24x7 access to DDoS
Response Team
AWS bill protection
Always-on monitoring and detection
Network flow monitoring Application traffic monitoring
Always-on monitoring and detection
Signature based detection
Heuristics-based
anomaly detection
Baselining
AWS Shield Advanced
Always-on monitoring &
detection
Advanced L3/4 & L7 DDoS
protection
Attack notification and
reporting
24x7 access to DDoS
Response Team
AWS bill protection
Advanced DDoS protection
Layer 7
application
protection
Layer 3/4
infrastructure
protection
Low suspicion attributes
Normal packet or request header
Traffic composition and volume is typical
given its source
Traffic valid for its destination
High suspicion attributes
• Suspicious packet or request headers
• Entropy in traffic by header attribute
• Entropy in traffic source and volume
• Traffic source has a poor reputation
• Traffic invalid for its destination
• Request with cache-busting attributes
Layer 3/4 infrastructure protection
Traffic prioritization based on scoring
Layer 3/4 infrastructure protection
• Inline inspection and scoring
• Preferentially discard lower priority (attack) traffic
• False positives are avoided and legitimate viewers are protected
Traffic prioritization based on scoring
High-suspicion
packets dropped
Low-suspicion
packets retained
Advanced DDoS protection
Layer 7
application
protection
Layer 3/4
infrastructure
protection
AWS WAF – Layer 7 application protection
Web traffic filtering
with custom rules
Malicious request
blocking
Active monitoring
and tuning
AWS WAF – Layer 7 application protection
Three modes of operation
Self-service Engage DDoS experts Proactive DRT engagement
AWS WAF – Layer 7 application protection
AWS WAF included at no additional
cost
Self-service
AWS WAF – Layer 7 application protection
1. You engage the AWS DDoS Response Team (DRT)
2. DRT triages attack
3. DRT assists you with creating AWS WAF rules
Engage DDoS experts
AWS WAF – Layer 7 application protection
1. Always-on monitoring engages the AWS DDoS
Response Team (DRT)
2. DRT proactively triages DDoS attack
3. DRT creates AWS WAF rules (prior
authorization required)
Proactive DRT engagement
AWS Shield Advanced
Always-on monitoring &
detection
Advanced L3/4 & L7 DDoS
protection
Attack notification and
reporting
24x7 access to DDoS
Response Team
AWS bill protection
Attack notification and reporting
Attack monitoring
and detection
• Real-time notification of attacks via Amazon CloudWatch
• Near real-time metrics and packet captures for attack forensics
• Historical attack reports
AWS Shield Advanced
Always-on monitoring &
detection
Advanced L3/4 & L7 DDoS
protection
Attack notification and
reporting
24x7 access to DDoS
Response Team
AWS bill protection
24x7 access to DDoS Response Team
Before Attack
Proactive consultation and
best practice guidance
During Attack
Attack mitigation
After Attack
Post-mortem
analysis
AWS Shield Advanced
Always-on monitoring &
detection
Advanced L3/4 & L7 DDoS
protection
Attack notification and
reporting
24x7 access to DDoS
Response Team
AWS bill protection
AWS cost protection
AWS absorbs scaling cost due to DDoS attack
• Amazon CloudFront
• Elastic Load Balancer
• Application Load Balancer
• Amazon Route 53
For protection against most
common DDoS attacks, and
access to tools and best
practices to build a DDoS
resilient architecture on AWS.
AWS DDoS Shield: How to choose
For additional protection against
larger and more sophisticated
attacks, visibility into attacks,
AWS cost protection, Layer 7
mitigations, and 24X7 access to
DDoS experts for complex cases.
Standard Protection Advanced Protection
Best of re:Invent 2016| Jan. 2017
Data News
AWS Athena, AWS QuickSight
Shay Gury,
BI and Big Data Engineer, AllCloud
Best of re:Invent 2016| Jan. 2017
AWS Athena
● An interactive query service that
makes it easy to analyze data in
Amazon S3 using standard SQL
● Serverless, so there is no
infrastructure to manage, and you pay
only for the queries that you run.
● No need for complex ETL jobs to
prepare your data for analysis. This
makes it easy for anyone with SQL
skills to quickly analyze large-scale
datasets.
Introducing Amazon Athena
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.
Amazon Athena is Easy to Use
• Log into the Console
• Create a table
• Type in a Hive DDL
Statement
• Use the console Add Table
wizard
• Start querying
Query Data Directly from Amazon S3
• No ETL required. No loading of data. Query data where it
lives.
• Query data in its raw format
• Text, CSV, JSON, weblogs, AWS service logs
• ORC or Parquet
• Querying using ANSI SQL
• Stream data directly from Amazon S3
• Take advantage of Amazon S3 durability and availability
Familiar Technologies Under the Covers
Used for SQL Queries
In-memory distributed query engine
ANSI-SQL compatible with extensions
Used for DDL functionality
Complex data types
Multitude of formats
Supports data partitioning
Creating Tables - Concepts
• Create Table Statements (or DDL) are written in Hive
• Flexible
• Schema on Read
• External tables and partitioning of data
• JSON, TXT, CSV, TSV,
• Parquet and ORC (via Serdes)
• Data is stored in Amazon S3
• Metadata is stored in an a metadata store
Amazon Athena is Fast
• Tuned for performance
• Automatically parallelizes queries Athena uses warm
compute pools across multiple Availability Zones
• Results also stored in S3
• Improve Query performance
• Compress your data
• Use columnar formats
• Partitions
Amazon Athena is Cost Effective
• Pay per query
• $5 per TB scanned from S3
• DDL Queries and failed queries are free
• Save by using
• compression, columnar formats, partitions
Big Query vs Athena
AWS Athena Google Big Query
Data Formats *SV, JSON,Parquet,ORC External (*SV,JSON,AVRO)/Native
ANSI SQL Support Yes Yes
DDL Support Only CREATE/ALTER DROP Create/Update/Delete
Underlying Technology FB presto Google Dremel
Caching No Yes
UDF Not Yet Yes
Data Partition On any key By Day
Pricing 5$/TB (scanned) plus S3 ops
Don’t Pay For Canceled/Failed Queries
5$/TB (Scanned) less cached data
PARQUET AND ORC
• Columnar format
• Schema segregated into footer
• Column major format
• All data is pushed to the leaf
• Integrated compression and
indexes, and stats
• Support for predicate
pushdown
Columnar Formats
Converting to ORC and PARQUET
• You can use Spark to convert the file into PARQUET / ORC
• 20 lines of Pyspark code, running on EMR
• Converts 1TB of text data into 130 GB of Parquet with snappy conversion
• Total cost $5
https://github.com/awslabs/aws-big-data-blog/tree/master/aws-blog-spark-parquet-conversion
Pay by the Query - $5/TB Scanned
• Pay by the amount of data scanned per query
• Ways to save costs
• Compress
• Convert to Columnar format
• Use partitioning
• Free: DDL Queries, Failed Queries
Dataset Size on Amazon S3 Query Run time Data Scanned Cost
Logs stored as Text
files
1 TB 237 seconds 1.15TB $5.75
Logs stored in
Apache Parquet
format*
130 GB 5.13 seconds 2.69 GB $0.013
Savings 87% less with Parquet 34x faster 99% less data scanned 99.7% cheaper
Use the JDBC Driver
Best of re:Invent 2016| Jan. 2017
AWS
QuickSight
● A fast, cloud-powered business
analytics service that makes it easy to
build visualizations, perform ad-hoc
analysis, and quickly get business
insights from your data.
● Easily connect to your data, perform
advanced analysis, and create
stunning visualizations and rich
dashboards that can be accessed from
any browser or mobile device.
● 1/10th of the cost of traditional BI
solutions with no upfront investments,
no expensive hardware to purchase or
infrastructure to manage, and no
additional license or maintenance fees.
QuickSight allows you to connect to data from a wide variety of AWS, third-party, and
on-premises sources including Amazon Athena
Amazon RDS
Amazon S3
Amazon Redshift
Amazon Athena
Using Amazon Athena with Amazon QuickSight
QuickSight SPICE
SPICE = Super-fast, Parallel, In-memory Calculation Engine.
• combination of columnar storage,
in-memory technologies
• Data in SPICE is persisted until it is
explicitly deleted by the user.
• SPICE automatically replicates data
for high availability
AWS and GCP Division Overview | Nov. 2016
© 2016 AllCloud
www.allcloud.io
Join Our Fastlane to a
Successful Cloud Deployment
Contact us: info@allcloud.io
Best of re:Invent 2016| Jan. 2017
You’re Invited
What: AllCloud's Launch Event
When: Jan. 30th, 2017
Where: “Sheva” 19 Hatzfira St., Tel Aviv
Join Us to Experience the Cloud Journey in a Whole
Different Way.

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Best of re:Invent 2016 meetup presentation

  • 1. Best of re:Invent 2016| Jan. 2017 Best of 2016 Lahav Savir Co-founder and CTO AllCloud
  • 2. Best of re:Invent 2016| Jan. 2017 Agenda ● Intro - Lahav Savir ● CI / CD News - Johanan Liebermann ● Serverless News - Yakir Eliyahu ● Security News - Hemed Gur Ary ● Data News - Shay Gury ● Q&A Panel - AllCloud’ers Pizza & Beer allowed at all tim es
  • 3. Best of re:Invent 2016| Jan. 2017 A Global Leader in Cloud Transformation and Adoption with expertise across the cloud stack, Infrastructure, Platform, and Software-as-a-Service.
  • 4. Best of re:Invent 2016| Jan. 2017 The AllCloud Solutions Framework Infrastructure-as-a-Service Platform-as-a-Service Software-as-a-Service Solutions Partners Enablement Advisory
  • 5. Best of re:Invent 2016| Jan. 2017 “AWS Managed Service Partners are skilled at cloud infrastructure and application migration, and deliver value to customers by offering proactive monitoring, automation, and management of their customer’s environment.” https://aws.amazon.com/partners/msp/ http://www.emind.co/msp AWS Next-Gen (v3) Managed Service Partner (MSP)
  • 6. Best of re:Invent 2016| Jan. 2017 www.allcloud.io
  • 7. Best of re:Invent 2016| Jan. 2017 Democracy of Infrastructure and Services Infrastructure-as-a-Service Platform-as-a-Service Software-as-a-Service
  • 8. Best of re:Invent 2016| Jan. 2017 www.allcloud.io ● 32,000 Attendees ● +400 Technical Sessions ● One-of-a-kind re:Play party Largest Cloud Conference in History
  • 9. Best of re:Invent 2016| Jan. 2017 New Services ● 22 New Services ● 22 New Features ● 5 New Instance Types ● 2 Price Reductions ● And a massive Snowmobile
  • 10. Best of re:Invent 2016| Jan. 2017 www.allcloud.io AWS completes and enhances its product pipelines to offer fully managed services with minimal pain points.
  • 11. Best of re:Invent 2016| Jan. 2017 www.allcloud.io It’s the big player times
  • 12. Best of re:Invent 2016| Jan. 2017 Where is it Heading? 16 Regions +80 Services
  • 13. Best of re:Invent 2016| Jan. 2017 CI/CD News AWS CodeBuild, AWS OpsWorks for Chef Automate Johanan Liebermann, Software Developer, AllCloud
  • 14. Best of re:Invent 2016| Jan. 2017 ● Tiny startups can challenge giants ● Delivering a product to the masses is easy ● Release cycle takes days, not months ● Time to market can make or break your product Today’s Software Moves Fast!
  • 15. Best of re:Invent 2016| Jan. 2017 ● Automate everything! ○ Source code management, builds, testing, deployment, configuration, documentation, infrastructure... ● Operations time < Development time ● Do more with less people ● Short release cycle How Can You Move Fast?
  • 16. Best of re:Invent 2016| Jan. 2017 You Need Tools!
  • 17. Best of re:Invent 2016| Jan. 2017 AWS Code* Services AWS CodePipeline AWS CodeDeploy AWS CodeCommit
  • 18. Best of re:Invent 2016| Jan. 2017 AWS Code* Services Commit Build Test Production
  • 19. Best of re:Invent 2016| Jan. 2017 AWS Code* Services Commit Build Test Production AWS CodeCommit
  • 20. Best of re:Invent 2016| Jan. 2017 AWS Code* Services Commit Build Test Production Third-Party Tooling Third-Party Tooling
  • 21. Best of re:Invent 2016| Jan. 2017 AWS Code* Services Commit Build Test Production AWS CodeDeploy
  • 22. Best of re:Invent 2016| Jan. 2017 AWS Code* Services Commit Build Test Production AWS CodePipeline
  • 23. Best of re:Invent 2016| Jan. 2017 AWS Code* Services Commit Build Test Production AWS CodeCommit Third-Party Tooling Third-Party Tooling AWS CodeDeploy AWS CodePipeline
  • 24. Best of re:Invent 2016| Jan. 2017 ● Build and test code in the cloud ● Scales continuously ● Charged by the minute ● Integrates with other AWS services like CodePipeline to automate building and testing code AWS CodeBuild
  • 25. Best of re:Invent 2016| Jan. 2017 Deploying Code is Not Enough!
  • 26. Best of re:Invent 2016| Jan. 2017 ● Configuration management service ● Fully-managed Chef servers on AWS ● Includes premium features of Chef Automate OpsWorks for Chef Automate
  • 27. Best of re:Invent 2016| Jan. 2017 Serverless News AWS Step Functions Yakir Eliyahu, Cloud Architect, AllCloud
  • 28. What is Serverless? Build and run applications without thinking about servers
  • 29. Let’s take a look at the evolution of computing Physical servers in datacenters Virtual servers in datacenters Virtual servers in the cloud
  • 30. Each progressive step was better Physical Servers Datacenters Virtual Servers Datacenters • Higher utilization • Faster provisioning speed • Improved uptime • Disaster recovery • Hardware independence • Trade CAPEX for OPEX • More scale • Elastic resources • Faster speed and agility • Reduced maintenance • Better availability and fault tolerance Virtual servers in the cloud
  • 31. But there are still limitations Physical Servers Datacenters Virtual Servers Datacenters • Trade CAPEX for OPEX • More scale • Elastic resources • Faster speed and agility • Reduced maintenance • Better availability and fault tolerance • Still need to administer virtual servers • Still need to manage capacity and utilization • Still need to size workloads • Still need to manage availability, fault tolerance • Still expensive to run intermittent jobs Virtual servers in the cloud
  • 32. Evolving to Serverless SERVERLESS Virtual servers in the cloud Physical servers in datacenters Virtual servers in datacenters
  • 33. No server is easier to manage than no server All of these responsibilities go away Provisioning and utilization Availability and fault tolerance Scaling Operations and management
  • 34. EVENT DRIVEN CONTINUOUS SCALING PAY BY USAGE Deliver on demand, never pay for idle
  • 35. Building blocks for serverless applications AWS Lambda Amazon DynamoDB Amazon SNS Amazon API Gateway Amazon SQS Amazon Kinesis Amazon S3 Orchestration and State Management API Proxy Messaging and Queues Analytics Monitoring and Debugging Compute Storage Database AWS X-Ray AWS Step Functions
  • 36. Serverless changes how you deliver Speeds up time to market Dedicated time to innovation Increases developer productivity Eliminates operational complexity
  • 38. Best of re:Invent 2016| Jan. 2017 AWS Step Functions ● Utilizes AWS Lambda which manages the operations and underlying infrastructure to help ensure your application is available at any scale ● Easy to coordinate the components of distributed applications and microservices using visual workflows ● Building applications from individual components that each perform a discrete function lets you scale and change applications quickly ● Makes it simple to build and run multi-step applications ● Can use an Activity (process on a VM/Contianer) for long-running tasks
  • 39. 1. A concept used by CompSci profs for torturing undergrads, full of arcane math 2. A practical way to build and manage modern serverless apps “State machine” (noun)
  • 40. “I want to sequence functions” “I want to call functions based on data” “I want more control over retries” “I want try/catch/finally” “I have a workflow that runs for hours” “I want to run functions in parallel” Orchestration and state management
  • 41. Introducing AWS Step Functions Run cloud state machines Coordinate components of multi-step apps Visualize application as a series of steps Handles thousands of workflows and millions of simultaneous steps
  • 42. Best of re:Invent 2016| Jan. 2017 Define your Application Visually as a Series of Steps
  • 43. Best of re:Invent 2016| Jan. 2017 Verify Everything is Operating as Intended
  • 44. Best of re:Invent 2016| Jan. 2017 Run and Scale Applications Reliably
  • 45. Best of re:Invent 2016| Jan. 2017 Security News AWS Shield Hemed Gur Ary, Security DevOps Engineer, AllCloud
  • 46. Best of re:Invent 2016| Jan. 2017 AWS Shield ● Managed DDoS Protection that safeguards web applications running on AWS ● Provides always-on detection and automatic inline mitigations that minimize application downtime and latency
  • 48. What is DDoS? Distributed Denial Of Service
  • 49. DDoS attack trends 65% Volumetric 17% State exhaustion 18% Application layer
  • 50. Examples of DDoS attacks HTTP GET flood TCP SYN flood UDP reflection attacks
  • 51. Challenges in mitigating DDoS attacks
  • 52. Challenges in mitigating DDoS attacks Difficult to enable Complex set-up Provision bandwidth capacity Application re-architecture
  • 53. Challenges in mitigating DDoS attacks Manual involvement Operator involvement to initiate mitigation Re-route traffic via distant scrubbing location Increased time to mitigate Traditional Datacenter
  • 54. Challenges in mitigating DDoS attacks Traffic re-routing = Increased latency for users Traditional Datacenter
  • 55. Challenges in mitigating DDoS attacks Expensive to use
  • 56. AWS approach to DDoS protection
  • 57. DDoS protections built into AWS ✓ Protection against most common infrastructure attacks ✓ SYN/ACK Floods, UDP Floods, Reflection attacks etc. ✓ No additional cost DDoS mitigation systems DDoS Attack Users
  • 58. AWS Shield AWS Integration DDoS protection without infrastructure changes Affordable Don’t force unnecessary trade-offs between cost and availability Flexible Customize protections for your applications Always-On Detection and Mitigation Minimize impact on application latency Four key pillars…
  • 59. AWS Shield A Managed DDoS Protection Service
  • 60. AWS Shield Standard Protection Advanced Protection Available to ALL AWS customers at No Additional Cost Paid service that provides additional protections, features and benefits.
  • 62. AWS Shield Standard Layer 3/4 protection ✓ Automatic detection & mitigation ✓ Protection from most common attacks (SYN/UDP Floods, Reflection Attacks, etc.) ✓ Built into AWS services Layer 7 protection ✓ AWS WAF for Layer 7 DDoS attack mitigation ✓ Self-service & pay-as-you-go
  • 63. AWS Shield Standard Better protection than ever for your applications running on AWS • Improved mitigations using proprietary BlackWatch systems • Additional mitigation capacity • Commitment to continuously improve detection and mitigation • Still at no additional cost
  • 64. AWS Shield Advanced Managed DDoS Protection
  • 65. AWS Shield Advanced Application Load Balancer Classic Load Balancer Amazon CloudFront Amazon Route 53 Available today on …
  • 66. AWS Shield Advanced Available today in … US East (N. Virginia) us-east-1 US West (Oregon) us-west-2 EU (Ireland) eu-west-1 Asia Pacific (Tokyo) ap-northeast-1
  • 67. AWS Shield Advanced Always-on monitoring & detection Advanced L3/4 & L7 DDoS protection Attack notification and reporting 24x7 access to DDoS Response Team AWS bill protection
  • 68. AWS Shield Advanced Always-on monitoring & detection Advanced L3/4 & L7 DDoS protection Attack notification and reporting 24x7 access to DDoS Response Team AWS bill protection
  • 69. Always-on monitoring and detection Network flow monitoring Application traffic monitoring
  • 70. Always-on monitoring and detection Signature based detection Heuristics-based anomaly detection Baselining
  • 71. AWS Shield Advanced Always-on monitoring & detection Advanced L3/4 & L7 DDoS protection Attack notification and reporting 24x7 access to DDoS Response Team AWS bill protection
  • 72. Advanced DDoS protection Layer 7 application protection Layer 3/4 infrastructure protection
  • 73. Low suspicion attributes Normal packet or request header Traffic composition and volume is typical given its source Traffic valid for its destination High suspicion attributes • Suspicious packet or request headers • Entropy in traffic by header attribute • Entropy in traffic source and volume • Traffic source has a poor reputation • Traffic invalid for its destination • Request with cache-busting attributes Layer 3/4 infrastructure protection Traffic prioritization based on scoring
  • 74. Layer 3/4 infrastructure protection • Inline inspection and scoring • Preferentially discard lower priority (attack) traffic • False positives are avoided and legitimate viewers are protected Traffic prioritization based on scoring High-suspicion packets dropped Low-suspicion packets retained
  • 75. Advanced DDoS protection Layer 7 application protection Layer 3/4 infrastructure protection
  • 76. AWS WAF – Layer 7 application protection Web traffic filtering with custom rules Malicious request blocking Active monitoring and tuning
  • 77. AWS WAF – Layer 7 application protection Three modes of operation Self-service Engage DDoS experts Proactive DRT engagement
  • 78. AWS WAF – Layer 7 application protection AWS WAF included at no additional cost Self-service
  • 79. AWS WAF – Layer 7 application protection 1. You engage the AWS DDoS Response Team (DRT) 2. DRT triages attack 3. DRT assists you with creating AWS WAF rules Engage DDoS experts
  • 80. AWS WAF – Layer 7 application protection 1. Always-on monitoring engages the AWS DDoS Response Team (DRT) 2. DRT proactively triages DDoS attack 3. DRT creates AWS WAF rules (prior authorization required) Proactive DRT engagement
  • 81. AWS Shield Advanced Always-on monitoring & detection Advanced L3/4 & L7 DDoS protection Attack notification and reporting 24x7 access to DDoS Response Team AWS bill protection
  • 82. Attack notification and reporting Attack monitoring and detection • Real-time notification of attacks via Amazon CloudWatch • Near real-time metrics and packet captures for attack forensics • Historical attack reports
  • 83. AWS Shield Advanced Always-on monitoring & detection Advanced L3/4 & L7 DDoS protection Attack notification and reporting 24x7 access to DDoS Response Team AWS bill protection
  • 84. 24x7 access to DDoS Response Team Before Attack Proactive consultation and best practice guidance During Attack Attack mitigation After Attack Post-mortem analysis
  • 85. AWS Shield Advanced Always-on monitoring & detection Advanced L3/4 & L7 DDoS protection Attack notification and reporting 24x7 access to DDoS Response Team AWS bill protection
  • 86. AWS cost protection AWS absorbs scaling cost due to DDoS attack • Amazon CloudFront • Elastic Load Balancer • Application Load Balancer • Amazon Route 53
  • 87. For protection against most common DDoS attacks, and access to tools and best practices to build a DDoS resilient architecture on AWS. AWS DDoS Shield: How to choose For additional protection against larger and more sophisticated attacks, visibility into attacks, AWS cost protection, Layer 7 mitigations, and 24X7 access to DDoS experts for complex cases. Standard Protection Advanced Protection
  • 88. Best of re:Invent 2016| Jan. 2017 Data News AWS Athena, AWS QuickSight Shay Gury, BI and Big Data Engineer, AllCloud
  • 89. Best of re:Invent 2016| Jan. 2017 AWS Athena ● An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL ● Serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. ● No need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
  • 90.
  • 91. Introducing Amazon Athena 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.
  • 92. Amazon Athena is Easy to Use • Log into the Console • Create a table • Type in a Hive DDL Statement • Use the console Add Table wizard • Start querying
  • 93. Query Data Directly from Amazon S3 • No ETL required. No loading of data. Query data where it lives. • Query data in its raw format • Text, CSV, JSON, weblogs, AWS service logs • ORC or Parquet • Querying using ANSI SQL • Stream data directly from Amazon S3 • Take advantage of Amazon S3 durability and availability
  • 94. Familiar Technologies Under the Covers Used for SQL Queries In-memory distributed query engine ANSI-SQL compatible with extensions Used for DDL functionality Complex data types Multitude of formats Supports data partitioning
  • 95. Creating Tables - Concepts • Create Table Statements (or DDL) are written in Hive • Flexible • Schema on Read • External tables and partitioning of data • JSON, TXT, CSV, TSV, • Parquet and ORC (via Serdes) • Data is stored in Amazon S3 • Metadata is stored in an a metadata store
  • 96. Amazon Athena is Fast • Tuned for performance • Automatically parallelizes queries Athena uses warm compute pools across multiple Availability Zones • Results also stored in S3 • Improve Query performance • Compress your data • Use columnar formats • Partitions
  • 97. Amazon Athena is Cost Effective • Pay per query • $5 per TB scanned from S3 • DDL Queries and failed queries are free • Save by using • compression, columnar formats, partitions
  • 98. Big Query vs Athena AWS Athena Google Big Query Data Formats *SV, JSON,Parquet,ORC External (*SV,JSON,AVRO)/Native ANSI SQL Support Yes Yes DDL Support Only CREATE/ALTER DROP Create/Update/Delete Underlying Technology FB presto Google Dremel Caching No Yes UDF Not Yet Yes Data Partition On any key By Day Pricing 5$/TB (scanned) plus S3 ops Don’t Pay For Canceled/Failed Queries 5$/TB (Scanned) less cached data
  • 99. PARQUET AND ORC • Columnar format • Schema segregated into footer • Column major format • All data is pushed to the leaf • Integrated compression and indexes, and stats • Support for predicate pushdown Columnar Formats
  • 100. Converting to ORC and PARQUET • You can use Spark to convert the file into PARQUET / ORC • 20 lines of Pyspark code, running on EMR • Converts 1TB of text data into 130 GB of Parquet with snappy conversion • Total cost $5 https://github.com/awslabs/aws-big-data-blog/tree/master/aws-blog-spark-parquet-conversion
  • 101. Pay by the Query - $5/TB Scanned • Pay by the amount of data scanned per query • Ways to save costs • Compress • Convert to Columnar format • Use partitioning • Free: DDL Queries, Failed Queries Dataset Size on Amazon S3 Query Run time Data Scanned Cost Logs stored as Text files 1 TB 237 seconds 1.15TB $5.75 Logs stored in Apache Parquet format* 130 GB 5.13 seconds 2.69 GB $0.013 Savings 87% less with Parquet 34x faster 99% less data scanned 99.7% cheaper
  • 102. Use the JDBC Driver
  • 103. Best of re:Invent 2016| Jan. 2017 AWS QuickSight ● A fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. ● Easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device. ● 1/10th of the cost of traditional BI solutions with no upfront investments, no expensive hardware to purchase or infrastructure to manage, and no additional license or maintenance fees.
  • 104. QuickSight allows you to connect to data from a wide variety of AWS, third-party, and on-premises sources including Amazon Athena Amazon RDS Amazon S3 Amazon Redshift Amazon Athena Using Amazon Athena with Amazon QuickSight
  • 105. QuickSight SPICE SPICE = Super-fast, Parallel, In-memory Calculation Engine. • combination of columnar storage, in-memory technologies • Data in SPICE is persisted until it is explicitly deleted by the user. • SPICE automatically replicates data for high availability
  • 106. AWS and GCP Division Overview | Nov. 2016 © 2016 AllCloud www.allcloud.io Join Our Fastlane to a Successful Cloud Deployment Contact us: info@allcloud.io
  • 107. Best of re:Invent 2016| Jan. 2017 You’re Invited What: AllCloud's Launch Event When: Jan. 30th, 2017 Where: “Sheva” 19 Hatzfira St., Tel Aviv Join Us to Experience the Cloud Journey in a Whole Different Way.