To The Cloud

Originally presented at an internal event for BPDTS, this presentation covers how to think about deploying to the cloud, for people who may be more familiar with on-premises infrastructure.

Transcript

1. TO THE CLOUD!_ JON TOPPER | @jtopper | he/him/his
2. WHO AM I?_ 18 years of experience Previously: Lead Developer & Systems Administrator, Trutap Senior Network and Systems Engineer, DSVR Now: Founder/CTO/CEO The Scale Factory
4. THE TEAM_
5. OUR CLIENTS_
7. FOUR KEY METRICS_ Lead Time Deployment Frequency Mean Time To Recovery (MTTR) Change Fail Percentage
8. Aspect of Software Delivery Performance* Elite High Medium Low Deployment frequency For the primary application or service you work on, how often does your organization deploy code to production or release it to end users? On-demand (multiple deploys per day) Between once per day and once per week Between once per week and once per month Between once per month and once every six months Lead time for changes For the primary application or service you work on, what is your lead time for changes (i.e., how long does it take to go from code committed to code successfully running in production)? Less than one day Between one day and one week Between one week and one month Between one month and six months Time to restore service For the primary application or service you work on, how long does it generally take to restore service when a service incident or a defect that impacts users occurs (e.g., unplanned outage or service impairment)? Less than one hour Less than one daya Less than one daya Between one week and one month Change failure rate For the primary application or service you work on, what percentage of changes to production or released to users result in degraded service (e.g., lead to service impairment or service outage) and subsequently require remediation (e.g., require a hotfix, rollback, fix forward, patch)? 0-15%b,c 0-15%b,d 0-15%c,d 46-60%
9. WHAT IS THE CLOUD?_
10. NIST CLOUD CHARACTERISTICS_ On-demand self-service Broad network access Resource pooling Rapid elasticity Measured service
11. ACCELERATE STATE OF DEVOPS REPORT_ 2019 Findings Cloud continues to be a differentiator for elite performers and drives high performance.
 The use of cloud—as defined by NIST Special Publication 800-145—
 is predictive of software delivery performance and availability. The highest performing teams were 24 times more likely than low performers to execute on all five capabilities of cloud computing. “
13. WHY THE CLOUD?_
14. WHY THE CLOUD?_ Increased agility Unparalleled scalability Enterprise-grade services as standard AWS run data centres better than you do Lower cost?
15. An SEP is something we can't see, or don't see, or our brain doesn't let us see, because we think that it's somebody else's problem.... The brain just edits it out, it's like a blind spot. If you look at it directly you won't see it unless you know precisely what it is. Your only hope is to catch it by surprise out of the corner of your eye. SOMEBODY ELSE’S PROBLEM_ “
16. HARDWARE HYPERVISOR VM VIRTUAL HW KERNEL APP APP APP VM VIRTUAL HW KERNEL APP APP APP VM VIRTUAL HW KERNEL APP APP APP VM VIRTUAL HW KERNEL APP APP APP Infrastructure Applications ON PREM_
17. HARDWARE HYPERVISOR VM VIRTUAL HW KERNEL APP APP APP VM VIRTUAL HW KERNEL APP APP APP VM VIRTUAL HW KERNEL APP APP APP VM VIRTUAL HW KERNEL APP APP APP Somebody Else's Problem Applications CLOUD_
18. HARDWARE HYPERVISOR APP CONTAINER PLATFORM APP APP APP Somebody Else's Problem Applications CLOUD + CONTAINERS_
19. FUNCTION Somebody Else's Problem Applications FUNCTION FUNCTION FUNCTION IDGAF CLOUD + SERVERLESS_
22. WHAT’S DIFFERENT?_
23. MAIN CHANGES_ APIs for everything You don’t control network addressing Security is a shared responsibility Failure modes are different Billing is more complex Backups are easier You can easily refactor infrastructure
24. TABLE STAKES_ Infrastructure as Code Resilience Engineering Continuous Delivery Central Monitoring Central Log Aggregation
25. INFRASTRUCTURE AS CODE_
26. BENEFITS_ Faster Repeatable Testable Collaborative
28. resource "aws_instance" "web" { instance_type = "t2.micro" # Lookup the correct AMI based on the region # we specified ami = "${lookup(var.aws_amis, var.aws_region)}" # The name of our SSH keypair we created above. key_name = "${aws_key_pair.auth.id}" # Our Security group to allow HTTP and SSH access vpc_security_group_ids = ["${aws_security_group.default.id}"] subnet_id = "${aws_subnet.default.id}" provisioner "remote-exec" { inline = [ "sudo apt-get -y update", "sudo apt-get -y install nginx", "sudo service nginx start", ] } }
30. { "variables": { "aws_access_key": "", "aws_secret_key": "" }, "builders": [{ "type": "amazon-ebs", "access_key": "{{user `aws_access_key`}}", "secret_key": "{{user `aws_secret_key`}}", "region": "us-east-1", "source_ami_filter": { "filters": { "virtualization-type": "hvm", "name": "ubuntu/images/*ubuntu-xenial-16.04-amd64-server-*", "root-device-type": "ebs" }, "owners": ["099720109477"], "most_recent": true }, "instance_type": "t2.micro", "ssh_username": "ubuntu", "ami_name": "packer-example {{timestamp}}" }] }
33. user { 'jtopper': ensure => present, uid => '1000', gid => '1000', shell => '/bin/bash', home => '/home/jtopper' } service { 'httpd': ensure => 'running' }
34. USE THE CLOUD SERVICES_
36. Visible Invisible Value Chain Evolution Genesis Custom Product Commodity Power Customer MySQL Compute Storage Data Centre HA Scripts Monitoring Config Mgmt Networking
37. Visible Invisible Value Chain Evolution Genesis Custom Product Commodity Customer RDS Aurora
39. DESIGN FOR ELASTICITY_
40. n=1
41. n=6
42. n=3
43. CONTROL SCALING_ Time-based Metric-based Predictive
44. DESIGN FOR FAILURE_
45. “EVERYTHING FAILS ALL THE TIME”_ Werner Vogels, CTO amazon.com
46. VPC (eu-west-1) AZ eu-west-1a AZ eu-west-1b AZ eu-west-1c Public Subnet Public Subnet Public Subnet Private Subnet Private Subnet Private Subnet
48. VPC (eu-west-1) VPC (eu-west-2)
49. n=6
50. n=1
51. DESIGN FOR EPHEMERALITY_
52. SOFTWARE CONFIGURATION_ Convention over configuration Use service discovery (DNS?) Environment config
53. PLAN FOR FAILURE_ Build a list of potential failure scenarios Understand how your platform will react Game days (tabletop) Mitigate / Document Game days (live failure injection)
54. AUTOMATE DEPLOYMENT_
55. SOFTWARE DEPLOYMENT: CI/CD_ Syntax checks Linting Unit Tests Static Security Scanning Build Artefact Dynamic Security Scanning
56. SOFTWARE DEPLOYMENT: ARTEFACTS_ Build only one artefact Promote artefacts through environments
57. SOFTWARE DEPLOYMENT: DELIVERY_ Canary Deployment Blue/Green Deployment Phased Rollout Progressive Delivery (feature flags)
58. SHARE DATA_
59. CENTRAL MONITORING_ User monitoring Application monitoring (RED) Infrastructure monitoring Make dashboards available
60. CENTRAL LOGGING_ Structured logs Add relevant IDs (transaction, user, etc) Make dashboards available Represent “events” on dashboards
61. SECURE BY DEFAULT_
62. Somebody Else's Problem
63. SECURITY: USERS_ Least-privilege user access MFA Keep users away from data
65. SECURITY: DATA_ Encrypt data at rest Encrypt data in transit Encrypt secrets/keys
66. SECURITY: CODE_ Instance Identity Execution Context No secrets baked in Security scans in CI pipeline
67. SECURITY: OPERATIONS_ Use protection services Use detection services Have a response plan
68. TO THE CLOUD! RECAP_ Embrace the SEP field Embrace DevOps, Agile & SRE thinking Unlearn some old ways Build your solutions to be “cloud native”
69. KEEP IN TOUCH_ http:/ /www.scalefactory.com/ https:/ /github.com/scalefactory @scalefactory jon@scalefactory.com