/
ecosystem.d2
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ecosystem.d2
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epi: Epidemiologist {
icon: ./icons/general/laptop.svg
shape: image
}
epiexplainer: |md
System access via web browser
from HC managed devices.
| {
near: epi
}
gh: GitHub repository {
icon: ./icons/github/logo.svg
direction: left
style: {
stroke: "#000000"
fill: "#ffffff"
}
pr: Pull Request {
icon: ./icons/github/pull-request.svg
shape: image
width: 30
height: 50
}
branch: Branch {
icon: ./icons/github/branch.svg
shape: image
width: 30
height: 50
}
merge: Merge {
icon: ./icons/github/merge.svg
shape: image
width: 30
height: 50
}
commit: Commit {
icon: ./icons/github/commit.svg
shape: image
width: 30
height: 50
}
branch -> commit
commit -> pr: vulnerability scan
pr -> merge: code review
merge -> branch
}
internet: The Internet {
icon: ./icons/gcp/my_cloud.svg
shape: image
}
letsencrypt: "Let's Encrypt" {
icon: ./icons/letsencrypt/logo.svg
shape: image
}
gcp: "" {
style: {
stroke: "#000000"
fill: "#f1f3f4"
}
gcpicon: "" {
icon: ./icons/gcp/logo-text.svg
width: 300
shape: image
}
scc: Security Command Center {
icon: ./icons/gcp/security_command_center.svg
style: {
stroke: "#808080"
fill: "#ffffff"
}
}
epiproject: Epidemiological Analysis Project {
style: {
stroke: "#ffffff"
fill: "#e1f6fe"
}
vpc: Default VPC Network 10.1.0.0/16 {
style: {
stroke: blue
font-color: blue
stroke-dash: 3
fill: transparent
}
fw: Firewall {
style: {
stroke: black
font-color: black
stroke-dash: 3
fill: transparent
}
vertexai: Data Analysis Tools {
icon: ./icons/gcp/vertexai.svg
style: {
stroke: "#808080"
fill: "#ffffff"
}
}
storage: Data storage (Parquet files)) {
icon: ./icons/gcp/cloud_storage.svg
style: {
stroke: "#808080"
fill: "#ffffff"
}
}
}
}
}
project: Data sharing Project {
style: {
stroke: "#ffffff"
fill: "#e1f6fe"
}
vpc: Default VPC Network 10.1.0.0/16 {
style: {
stroke: blue
font-color: blue
stroke-dash: 3
fill: transparent
}
fw: Firewall {
style: {
stroke: black
font-color: black
stroke-dash: 3
fill: transparent
}
clouddns: Cloud DNS {
icon: ./icons/gcp/cloud_dns.svg
style: {
stroke: "#808080"
fill: "#ffffff"
}
}
registry: Artifact Registry {
icon: ./icons/gcp/artifact_registry.svg
style: {
stroke: "#808080"
fill: "#ffffff"
}
}
k8s: Google Managed PaaS/GKE Autopilot {
style: {
stroke: blue
font-color: blue
fill: transparent
}
ingress: Google Managed Ingress {
icon: ./icons/kubernetes/pod.svg
shape: image
}
certmanager: TLS Certificate Manager {
icon: ./icons/certmanager/logo.svg
shape: image
}
container: Low attack surface container {
style: {
stroke: black
font-color: black
fill: transparent
}
django: Django App {
icon: ./icons/django/logo.svg
shape: image
}
}
pg: PostgreSQL Database Cluster {
icon: ./icons/cloudnativepg/logo.svg
shape: image
}
flux: GitOps operator {
icon: ./icons/flux/logo.svg
shape: image
}
ingress -> container: mtls
container -> pg: mtls
}
}
}
}
}
gcp.epiprojectexplainer: |md
## Epidemiological Analysis Project
Adoption of cloud based data analysis tools are the first step towards interoperability.
- Removes file size limitations and data corruption issues
- Full control over libraries for analysis
- Adjustable compute resources (more compute = faster analysis)
- Low cost scalable data storage
| {
near: gcp.epiproject
}
explanation: |md
# Security architecture
PHAC's core business is data aggregation and analysis.
Data arrives in dangerous formats from untrusted sources increasingly targeted by ransomware gangs.
Architectural choices can contain the spread of compromise just as vaccines contain the spread of disease.
- risk = likelihood * impact
- Highly segmented architecture reduces impact/spread of compromise.
- Technology selection and rapid updates reduces likelihood.
- Continual security scanning at multiple levels to prompt updates.
- Codesql source code scanning
- Dependabot dependency scanning
- Secrets scanning
- Container security scanning
| {
near: gcp
}
gcp.explanation: |md
# Data sharing Project
Interoperability and timely data sharing is enabled with APIs for internal and external partners.
Deployment architecture aims to reduce or eliminate the tradeoff between developer
speed/autonomy and security/compliance.
- Addresses requirements for PB data
- Compliance
- Audit
- Security
- Monitoring
- Business Continuity
- Disaster Recovery
- Increases developer velocity while maintaining compliance
- All maintainance via pull requests
- Isolation reduces blast radius and supports developer autonomy
- Fully automated TLS certificate management (internal and external)
- Zero downtime upgrades/rollbacks allow for business hours deployments
- Low operational burden supports public health focus
- System level Zero Trust implementation
| {
near: gcp.project
}
internet -> gcp.project.vpc.fw.k8s.ingress: https
gcp.project.vpc.fw.k8s.flux -> gh: Pull based deployment via https
gcp.project.vpc.fw.k8s -> gcp.project.vpc.fw.registry: Pull images via https
letsencrypt <-> gcp.project.vpc.fw.k8s.certmanager: ACME
gcp.project.vpc.fw.clouddns <-> gcp.project.vpc.fw.k8s.certmanager: {
label: |md
least priviledge
service account
via https
|
}
gcp.project.vpc.fw.clouddns <-> letsencrypt: ACME
gcp.epiproject -> gcp.scc: All project logs/events visible in Security Command Center
gcp.project -> gcp.scc: All project logs/events visible in Security Command Center
epi -> gcp.epiproject.vpc.fw.vertexai: Epis working with cloud Data Analysis Tools
gcp.epiproject.vpc.fw.vertexai -> gcp.epiproject.vpc.fw.storage: Data and Analysis results stored in Cloud Storage