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AGENDA
    AWS Cloud School - London

Cloud Concepts
Building Blocks
Application lifecycle
H igh Availability Web Services
Hands-on Session #1         We are here!
Deep Dive Sessions
Hands-on Session #2
Wrap up
Storage



Tools &
                      Compute
Support



          Databases
Storage



Tools &
                      Compute
Support



          Databases
Storage
          Databases


Tools &
                      Compute
Support
Databases




Relational                “NoSQL”
databases                databases
Databases




Relational                “NoSQL”
databases                databases
Any database on Amazon EC2
     MySQL, DB2, Oracle, PostgreSQL...
Relational Database Service
   Managed MySQL and Oracle databases
Rapid            High
                provisioning    availability
Scalable                                        Scalable
storage                                         compute

 Relational Database Service
           Managed MySQL and Oracle databases
ElastiCache
In memory, memcached compliant, caching clusters
High performance databases

       Increase throughput


       Increase availability


         Reduce latency
High performance databases
                                      Read replicas
Push-button
  scaling     Increase throughput
                                      ElastiCache
              Increase availability


                Reduce latency
High performance databases

           Increase throughput


Multi-AZ   Increase availability


             Reduce latency
High performance databases

       Increase throughput


       Increase availability


         Reduce latency        ElastiCache
Problem
Performance decreases at scale
Performance

              Predictable, consistent




                                 Scale
Performance

                  Predictable, consistent




              Degraded performance
                   with scale



                                     Scale
Performance

                  Predictable, consistent




              Degraded performance
                   with scale



                                     Scale
= more problems
Data caching
                                       Provisioning!
Data sharding


          = more problems
Cluster management
                               Fault management
Undifferentiated
 heavy lifting
DynamoDB
Fully managed
NoSQL database
     service
Extremely fast
performance
Consistently fast
 performance
Seamless scalability
H   I   G   H   L   I   G   H   T   S
H    I   G   H   L   I   G   H   T   S




Low latency
    Single digit millisecond
H    I   G   H   L   I   G   H   T   S




     Low latency
          Single digit millisecond



< 5 ms reads                       < 10 ms writes
H    I   G   H   L   I   G   H   T   S



                   SSD backed



     Low latency
          Single digit millisecond



< 5 ms reads                       < 10 ms writes
H   I   G   H   L   I   G   H   T   S




  Massive scale
No table size limits. Unlimited storage.
H   I   G   H   L   I   G   H   T   S




Seamless scale
Live repartitioning. Zero admin.
H    I   G   H   L   I   G   H   T   S




Predictable performance
          Provisioned throughput
H   I   G   H   L   I   G   H   T   S




Durable and available
     Consistent, disk-only writes
H   I   G   H   L   I   G   H   T   S




Zero administration
What is provisioned
  throughput?
Reserve required IOPS
  Per table. Set at creation. Scale via API.
“ProvisionedThroughput”:
     { “ReadsPerSecond” : 500 },
     { “WritesPerSecond” : 1000 }
Scale at any time
     No downtime
Pay for throughput
Per 1kb item:




$0.01 per hour for every 10 writes/second

  $0.01 per hour for every 50 strongly
        consistent reads/second
Per 1kb item:




          $0.28 per million writes

$0.056 per million strongly consistent reads
Pay for storage
$1.00 per Gb per month of indexed storage
Data model
AWS Cloud School | London - Part 2
“ImageID” = “1”


   “Date” =
  “20100915”


“Title” = “flower”


“Tags” = “flower”,
“jasmine”, “white”
“ImageID” = “1”      “ImageID” =”2”        “ImageID” =”3”


   “Date” =              “Date” =             “Date” =
  “20100915”            “20100916”           “20100917”


“Title” = “flower”    “Title” = “ferrari”   “Title” = “coffee”


“Tags” = “flower”,     “Tags” = “car”,      “Tags” = “drink”,
“jasmine”, “white”       “italian”            “delicious”
Primary key
Composite key
AWS Cloud School | London - Part 2
AWS Cloud School | London - Part 2
AWS Cloud School | London - Part 2
Simple API
              Only 12 operations.
Atomic increment/decrement on number attributes.
Automatic scaling
   Subscribe to SNS topic
$Res = $DDB->describe_table(array('TableName' => 'wsdot_images'));

$Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits;
$Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits;

$Read *= 2;
$Write *= 2;

$PT = array('ReadCapacityUnits' => (string) $Read,
            'WriteCapacityUnits' => (string) $Write);

$Res = $ddb->update_table(array('TableName' => 'wsdot_images',
                                'ProvisionedThroughPut' => $PT));
$Res = $DDB->describe_table(array('TableName' => 'wsdot_images'));

$Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits;
$Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits;

$Read *= 2;
$Write *= 2;

$PT = array('ReadCapacityUnits' => (string) $Read,
            'WriteCapacityUnits' => (string) $Write);

$Res = $ddb->update_table(array('TableName' => 'wsdot_images',
                                'ProvisionedThroughPut' => $PT));
$Res = $DDB->describe_table(array('TableName' => 'wsdot_images'));

$Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits;
$Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits;

$Read *= 2;
$Write *= 2;

$PT = array('ReadCapacityUnits' => (string) $Read,
            'WriteCapacityUnits' => (string) $Write);

$Res = $ddb->update_table(array('TableName' => 'wsdot_images',
                                'ProvisionedThroughPut' => $PT));
$Res = $DDB->describe_table(array('TableName' => 'wsdot_images'));

$Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits;
$Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits;

$Read *= 2;
$Write *= 2;

$PT = array('ReadCapacityUnits' => (string) $Read,
            'WriteCapacityUnits' => (string) $Write);

$Res = $ddb->update_table(array('TableName' => 'wsdot_images',
                                'ProvisionedThroughPut' => $PT));
$Res = $DDB->describe_table(array('TableName' => 'wsdot_images'));

$Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits;
$Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits;

$Read *= 2;
$Write *= 2;

$PT = array('ReadCapacityUnits' => (string) $Read,
            'WriteCapacityUnits' => (string) $Write);

$Res = $ddb->update_table(array('TableName' => 'wsdot_images',
                                'ProvisionedThroughPut' => $PT));
Consistency
       Writes are always consistent.
Reads are consistent or eventually consistent.
Durability
       Writes occur to disk, not memory.
Writes are acknowledged once they have been
      made in two physical data centres.
Availability
         Region specific (not AZ)
Continuously replicated across multiple AZs
Considerations
     Limited index and query model

Throughput is provisioned in 1K operations

         Maximum 64K item size


Backup and restore via Elastic MapReduce
Databases




Relational                “NoSQL”
databases                databases
SimpleDB
Zero maintenance, NoSQL datastore
Flexible queries

  10Gb / 1 billion                              No native
attributes per tabel                          data sharding

                       SimpleDB
              Zero maintenance, NoSQL datastore
Choose the right tool
    for the job
DynamoDB free tier
        5 writes/second
   10 consistent reads/second
        100Mb storage
Other topics:
whiteboard sessions
Direct Connect
                                 Batch processing
            Simple Workflow

CloudFormation                    Virtual Private Cloud


       Other topics:
    whiteboard sessions
 Cost optimisation
                                    Elastic MapReduce
                     Analytics
 Architecture
                           Storage Gateway
AGENDA
    AWS Cloud School - London

Cloud Concepts
Building Blocks
Application lifecycle
H igh Availability Web Services
Hands-on Session #1
Deep Dive Sessions
Hands-on Session #2
Wrap up
cloudbyexample.net/
      tutorial
j.mp/school-evaluation
matthew@amazon.com
        and


glenrob@amazon.com
Thank you!

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AWS Cloud School | London - Part 2

  • 1. AGENDA AWS Cloud School - London Cloud Concepts Building Blocks Application lifecycle H igh Availability Web Services Hands-on Session #1 We are here! Deep Dive Sessions Hands-on Session #2 Wrap up
  • 2. Storage Tools & Compute Support Databases
  • 3. Storage Tools & Compute Support Databases
  • 4. Storage Databases Tools & Compute Support
  • 5. Databases Relational “NoSQL” databases databases
  • 6. Databases Relational “NoSQL” databases databases
  • 7. Any database on Amazon EC2 MySQL, DB2, Oracle, PostgreSQL...
  • 8. Relational Database Service Managed MySQL and Oracle databases
  • 9. Rapid High provisioning availability Scalable Scalable storage compute Relational Database Service Managed MySQL and Oracle databases
  • 10. ElastiCache In memory, memcached compliant, caching clusters
  • 11. High performance databases Increase throughput Increase availability Reduce latency
  • 12. High performance databases Read replicas Push-button scaling Increase throughput ElastiCache Increase availability Reduce latency
  • 13. High performance databases Increase throughput Multi-AZ Increase availability Reduce latency
  • 14. High performance databases Increase throughput Increase availability Reduce latency ElastiCache
  • 16. Performance Predictable, consistent Scale
  • 17. Performance Predictable, consistent Degraded performance with scale Scale
  • 18. Performance Predictable, consistent Degraded performance with scale Scale
  • 20. Data caching Provisioning! Data sharding = more problems Cluster management Fault management
  • 27. H I G H L I G H T S
  • 28. H I G H L I G H T S Low latency Single digit millisecond
  • 29. H I G H L I G H T S Low latency Single digit millisecond < 5 ms reads < 10 ms writes
  • 30. H I G H L I G H T S SSD backed Low latency Single digit millisecond < 5 ms reads < 10 ms writes
  • 31. H I G H L I G H T S Massive scale No table size limits. Unlimited storage.
  • 32. H I G H L I G H T S Seamless scale Live repartitioning. Zero admin.
  • 33. H I G H L I G H T S Predictable performance Provisioned throughput
  • 34. H I G H L I G H T S Durable and available Consistent, disk-only writes
  • 35. H I G H L I G H T S Zero administration
  • 36. What is provisioned throughput?
  • 37. Reserve required IOPS Per table. Set at creation. Scale via API.
  • 38. “ProvisionedThroughput”: { “ReadsPerSecond” : 500 }, { “WritesPerSecond” : 1000 }
  • 39. Scale at any time No downtime
  • 41. Per 1kb item: $0.01 per hour for every 10 writes/second $0.01 per hour for every 50 strongly consistent reads/second
  • 42. Per 1kb item: $0.28 per million writes $0.056 per million strongly consistent reads
  • 43. Pay for storage $1.00 per Gb per month of indexed storage
  • 46. “ImageID” = “1” “Date” = “20100915” “Title” = “flower” “Tags” = “flower”, “jasmine”, “white”
  • 47. “ImageID” = “1” “ImageID” =”2” “ImageID” =”3” “Date” = “Date” = “Date” = “20100915” “20100916” “20100917” “Title” = “flower” “Title” = “ferrari” “Title” = “coffee” “Tags” = “flower”, “Tags” = “car”, “Tags” = “drink”, “jasmine”, “white” “italian” “delicious”
  • 53. Simple API Only 12 operations. Atomic increment/decrement on number attributes.
  • 54. Automatic scaling Subscribe to SNS topic
  • 55. $Res = $DDB->describe_table(array('TableName' => 'wsdot_images')); $Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits; $Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits; $Read *= 2; $Write *= 2; $PT = array('ReadCapacityUnits' => (string) $Read, 'WriteCapacityUnits' => (string) $Write); $Res = $ddb->update_table(array('TableName' => 'wsdot_images', 'ProvisionedThroughPut' => $PT));
  • 56. $Res = $DDB->describe_table(array('TableName' => 'wsdot_images')); $Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits; $Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits; $Read *= 2; $Write *= 2; $PT = array('ReadCapacityUnits' => (string) $Read, 'WriteCapacityUnits' => (string) $Write); $Res = $ddb->update_table(array('TableName' => 'wsdot_images', 'ProvisionedThroughPut' => $PT));
  • 57. $Res = $DDB->describe_table(array('TableName' => 'wsdot_images')); $Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits; $Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits; $Read *= 2; $Write *= 2; $PT = array('ReadCapacityUnits' => (string) $Read, 'WriteCapacityUnits' => (string) $Write); $Res = $ddb->update_table(array('TableName' => 'wsdot_images', 'ProvisionedThroughPut' => $PT));
  • 58. $Res = $DDB->describe_table(array('TableName' => 'wsdot_images')); $Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits; $Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits; $Read *= 2; $Write *= 2; $PT = array('ReadCapacityUnits' => (string) $Read, 'WriteCapacityUnits' => (string) $Write); $Res = $ddb->update_table(array('TableName' => 'wsdot_images', 'ProvisionedThroughPut' => $PT));
  • 59. $Res = $DDB->describe_table(array('TableName' => 'wsdot_images')); $Read = (int) $Res->body->Table->ProvisionedThroughput->ReadCapacityUnits; $Write = (int) $Res->body->Table->ProvisionedThroughput->WriteCapacityUnits; $Read *= 2; $Write *= 2; $PT = array('ReadCapacityUnits' => (string) $Read, 'WriteCapacityUnits' => (string) $Write); $Res = $ddb->update_table(array('TableName' => 'wsdot_images', 'ProvisionedThroughPut' => $PT));
  • 60. Consistency Writes are always consistent. Reads are consistent or eventually consistent.
  • 61. Durability Writes occur to disk, not memory. Writes are acknowledged once they have been made in two physical data centres.
  • 62. Availability Region specific (not AZ) Continuously replicated across multiple AZs
  • 63. Considerations Limited index and query model Throughput is provisioned in 1K operations Maximum 64K item size Backup and restore via Elastic MapReduce
  • 64. Databases Relational “NoSQL” databases databases
  • 66. Flexible queries 10Gb / 1 billion No native attributes per tabel data sharding SimpleDB Zero maintenance, NoSQL datastore
  • 67. Choose the right tool for the job
  • 68. DynamoDB free tier 5 writes/second 10 consistent reads/second 100Mb storage
  • 70. Direct Connect Batch processing Simple Workflow CloudFormation Virtual Private Cloud Other topics: whiteboard sessions Cost optimisation Elastic MapReduce Analytics Architecture Storage Gateway
  • 71. AGENDA AWS Cloud School - London Cloud Concepts Building Blocks Application lifecycle H igh Availability Web Services Hands-on Session #1 Deep Dive Sessions Hands-on Session #2 Wrap up
  • 74. matthew@amazon.com and glenrob@amazon.com