Share
Embed
Transcript
74 slides
-
A DEVOPS STATE OF MIND: CONTINUOUS SECURITY WITH KUBERNETES Chris
Van Tuin Chief Technologist, NA West @chrisvantuin [email protected] -
DEV QA OPS SECURITY IS AN AFTERTHOUGHT | SECURITY |
“Patch? The servers are behind the firewall.” - Anonymous (far too many to name), 2005 - … | Security | SECURITY IS AN AFTERTHOUGHT -
DEVSECOPS + + End to End Security DEV QA OPS
Culture Process Technology Linux + Containers IaaS Orchestration CI/CD Source Control Management Collaboration Build and Artifact Management Testing Frameworks Open Source -
DEVSECOPS Continuous Security Improvement Process Optimization Security Automation Dev QA
Prod Reduce Risks, Lower Costs, Speed Delivery, Speed Reaction -
BARE METAL VIRTUAL PRIVATE CLOUD PUBLIC CLOUD Automated Software Factory
Speed, Resiliency, Scalability, Security BARE METAL VIRTUAL PRIVATE CLOUD PUBLIC CLOUD Automated Software Factory Speed, Resiliency, Scalability, Security BARE METAL VIRTUAL PRIVATE CLOUD PUBLIC CLOUD Automated Software Factory Speed, Resiliency, Scalability, Security Speed, Agility, Resiliency, Scalability, Efficiency, Security -
• No security on K8s dashboard • IT infrastructure credentials
exposed • Enabled access to a large part of Weight Watchers' network • K8s dashboard exposed • AWS environment with telemetry data compromised • Tesla’s infrastructure was used for crypto mining THE CONTAINERS NEWS YOU DON’T WANT • 17 tainted crypto-mining containers on dockerhub • Remained for ~1 year with 5 million pulls and • Harvested ~90k in crypto currency. -
SECURING CONTAINERS BEST PRACTICES Reduce Attack Surface Least Privilege Layered
Security $ sudo Immutable -
docker.io Registry Private Registry FROM fedora:1.0 CMD echo “Hello” Build
file Physical, Virtual, Cloud Container Image Container Instance Build Run Ship CONTAINERS ENABLE DEVOPS CONTAINERS ENABLE DEVSECOPS FROM registry.redhat.com/rhel7 RUN groupadd -g 999 appuser && \ useradd -r -u 999 -g appuser appuser USER appuser CMD echo “Hello” -
CONTAINER IMAGE JAR CONTAINER IMAGE Application Application Language runtimes OS
dependencies 1.2/latest 1.1 -
Config Data Kubernetes configmaps secrets Container image Traditional data
services, Kubernetes persistent volumes TREAT CONTAINERS AS IMMUTABLE To keep containerized apps portable Application Language runtimes OS dependencies -
KUBERNETES CONFIGMAP Decouple configuration from container image Application Language runtimes
OS dependencies Environment Variable or Volume/File CONTAINER INSTANCE key:value from directories, files, or values KUBERNETES CONFIGMAP APPLICATION CONFIG FILE Application Configuration File e.g. XML etcd Pod Source Code Repository EnvVar require pod restart Files refresh in time -
NODE MASTER Container Distributed Store Container KUBERNETES SECRETS ! Secure
mechanism for holding sensitive data e.g. ◦ Passwords and credentials ◦ SSH Keys ◦ Certificates ! Secrets are made available as ◦ Environment variables ◦ Volume mounts ◦ Interaction with external systems ! Encrypted in transit and support for encryption at rest ! Never rest on the nodes, stored in memory (tmpfs) -
• Treat build file as a Blueprint • Don’t login
to build/configure • Version control build file • Be explicit with versions, not latest • Always list registry pulling FROM • Each Run creates a new layer • Specify USER, default is root BUILD FILE BEST PRACTICES FROM registry.redhat.com/rhel7 RUN groupadd -g 999 appuser && \ useradd -r -u 999 -g appuser appuser USER appuser CMD echo “Hello” Build file -
CONTAINER IMAGE SIGNING Validate what images and version are running
• Authenticating authorship • Non-repudiation • Ensuring image integrity -
Java Build Environment Language runtimes OS dependencies Build Image Java
Code Application Language runtimes OS dependencies Container Image Image Registry Source Repository Image Registry REPRODUCIBLE BUILDS Source to Image with Build Images Source v3.1 v1.0.1 v3.1 Java Build Environment Language runtimes OS dependencies Build Image Java Code Application Language runtimes OS dependencies Container Image Image Registry Source Repository Image Registry REPRODUCIBLE BUILDS Source to Image with Build Images Source v3.1 v1.0.1 v3.1 + REPRODUCIBLE BUILDS with build images -
AUTOMATED SECURITY SCANNING with OpenSCAP Reports & Remediation Scan SCAP
Security Guide for RHEL CCE-27002-5 Set Password Minimum Length Content Scan physical servers, virtual machines, docker images and containers for Security Policy Compliance (CCEs) and known Security Vulnerabilities (CVEs) -
CI/CD PIPELINE WITH KUBERNETES BARE METAL VIRTUAL PRIVATE CLOUD PUBLIC
CLOUD CI/CD PIPELINE WITH KUBERNETES BARE METAL VIRTUAL PRIVATE CLOUD PUBLIC CLOUD Automated Software Factory Speed, Resiliency, Scalability, Security -
CI/CD DEPLOYMENT STRATEGIES Automate and reduce deployment risk DEPLOYMENT STRATEGIES
• Recreate • Rolling updates • Blue / Green deployment -
Version 1 Version 1 Version 1 Version 1.2 ` Tests
/ CI RECREATE WITH DOWNTIME RECREATE WITH DOWNTIME Using Recreate deployment strategy Kubernetes Service -
Version 1 Version 1 Version 1 Version 1.2 ` Tests
/ CI RECREATE WITH DOWNTIME RECREATE WITH DOWNTIME Shutdown existing deployment Kubernetes Service -
Version 1.2 Version 1.2 Version 1.2 RECREATE WITH DOWNTIME Use
Case • Non-mission critical services Pros • Simple, clean • No Schema incompatibilities • No API versioning Cons • Downtime RECREATE WITH DOWNTIME Shutdown existing deployment Kubernetes Service -
Version 1 Version 1 Version 1 Version 1.2 ` Tests
/ CI ROLLING UPDATES with ZERO DOWNTIME Rollingupdate maxUnavailable=0 maxSurge=1 ROLLING UPDATES Replace each pod using RollingUpdate deployment strategy Kubernetes Service -
Deploy new version and wait until it’s ready… Health Check:
readiness probe e.g. tcp, http, script Version 1 Version 1 Version 1.2 Version 1 Rollingupdate maxUnavailable=0 maxSurge=1 ROLLING UPDATES Deploy new version, wait until it’s ready Kubernetes Service -
Each container/pod is updated one by one Version 1.2 50%
Version 1 V1 V1.2 ROLLING UPDATES Requires backward compatibility, as two versions run side-by-side Kubernetes Service -
Each container/pod is updated one by one Version 1.2 Version
1.2 Version 1.2 100% Use Case • Horizontally scaled • Backward compatible API/data • Microservices Pros • Zero downtime • Reduced risk, gradual rollout w/health checks • Ready for rollback Cons • Require backward compatible APIs/data • Resource overhead ROLLING UPDATES Kubernetes Service -
BLUE Version 1 Ingress e.g haproxy BLUE / GREEN DEPLOYMENT
Using Ingress 100% BLUE / GREEN DEPLOYMENT Single service, run two complete Deployments BLUE Version 1 Ingress e.g haproxy BLUE / GREEN DEPLOYMENT Using Ingress 100% Service selector: production=BLUE Kubernetes Deployment -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% Health Check: readiness probe e.g. tcp, http, script BLUE / GREEN DEPLOYMENT Using Deployments, Ingress Service selector: production=BLUE Kubernetes Deployment Kubernetes Deployment -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% Health Check: readiness probe e.g. tcp, http, script BLUE / GREEN DEPLOYMENT Using Deployments, Ingress Service selector: production=BLUE -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% Health Check: readiness probe e.g. tcp, http, script BLUE / GREEN DEPLOYMENT Using Deployments, Ingress Service selector: production=BLUE -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% BLUE / GREEN DEPLOYMENT Route all new request to Green, Blue sessions Service selector: version=GREEN -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% BLUE / GREEN DEPLOYMENT Using Deployments, Ingress Service selector: production=GREEN -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% BLUE / GREEN DEPLOYMENT Scale-down, reduce resources Service selector: production=GREEN -
BLUE GREEN Version 1 Version 2 Ingress e.g haproxy BLUE
/ GREEN DEPLOYMENT Using Ingress 100% BLUE / GREEN DEPLOYMENT Hot Backup Service selector: production=GREEN Version 2 -
BLUE / GREEN DEPLOYMENT Rollback BLUE GREEN Version 1 Version
2 Ingress Use Case • Self-contained micro services (data) Pros • Low risk, never change production • No downtime • Production like testing • Rollback Cons • Resource overhead • Data synchronization BLUE / GREEN DEPLOYMENT Rollback Service selector: production=BLUE -
Deployment Frequency Lead Time Deployment Failure Rate Mean Time to
Recover 99.999 Service Availability DEVSECOPS METRICS Compliance Score -
KUBERNETES ARCHITECTURE Authorization API Server Controller Scheduler etcd etcd etcd
Kubernetes Master API UI CLI Node 3 Node 1 Node 2 Node 4 Cluster User -
KUBERNETES ARCHITECTURE Authorization API Server Controller Scheduler etcd etcd etcd
Kubernetes Master API UI CLI Node 3 Node 1 Node 2 Node 4 Cluster User Network, DNS Linux, Container Runtime Management, Monitoring, Logs, Security, Registry Storage -
ARCHITECTURE CONSIDERATIONS Optimize for… Cluster per app / data
/ location, Short lived Data Sensitive, e.g. Finance Multi-AZ, Multi/ Hybrid cloud Production, Mission critical Bare metal HPC, AI/ML Security Scale Availability Latency Portability Performance Large cluster, multi/ hybrid cloud Internet, SaaS Efficiency Large cluster, Bare Metal, Recreate Many apps, Large scale Consistent OS & Kubernetes version 1 app anywhere, e.g. ISVs Local, Small Cluster IoT, Retail -
Kubernetes Logical Network Model NETWORK SECURITY • Kubernetes uses
a flat SDN model • All pods get IP from same CIDR • And live on same logical network • Assumes all nodes communicate Traditional Physical Network Model • Each layer represents a Zone with increased trust - DMZ > App > DB, interzone flow generally one direction • Intrazone traffic generally unrestricted -
NETWORK SECURITY MODELS Co-Existence Approaches One Cluster Multiple Zones Kubernete
Cluster Physical Compute isolation based on Network Zones Kubernete Cluster One Cluster Per Zone Kubernete Cluster B Kubernete Cluster A Kubernetes Cluster B C D https://blog.openshift.com/openshift-and-network-security-zones-coexistence-approaches/ -
NETWORK POLICY example: all pods in namespace ‘project-a’ allow
traffic from any other pods in the same namespace.” -
KUBERNETES: POD SECURITY POLICIES Cluster level, Implemented as an Admission
Controller apiVersion: policy/v1beta1 kind: PodSecurityPolicy metadata: name: privileged annotations: seccomp.security.alpha.kubernetes.io/allowedProfileNames: '*' spec: privileged: true allowPrivilegeEscalation: true allowedCapabilities: - '*' volumes: - '*' hostNetwork: true hostPorts: - min: 0 max: 65535 hostIPC: true hostPID: true runAsUser: rule: 'RunAsAny' seLinux: rule: 'RunAsAny' supplementalGroups: rule: 'RunAsAny' fsGroup: rule: 'RunAsAny' apiVersion: policy/v1beta1 kind: PodSecurityPolicy metadata: name: restricted annotations: seccomp.security.alpha.kubernetes.io/defaultProfileName: 'runtime/default' spec: privileged: false # Required to prevent escalations to root. allowPrivilegeEscalation: false # This is redundant with non-root + disallow privilege escalation, # but we can provide it for defense in depth. requiredDropCapabilities: - ALL # Allow core volume types. volumes: - 'configMap' - 'secret'' # Assume that persistentVolumes set up by the cluster admin are safe to use. - 'persistentVolumeClaim' hostNetwork: false hostPID: false ...... -
CONTROLLING ACCESS TO KUBERNETES API Authorization User BLUE GREEN Version
1 Version 2 Ingress e.g haproxy BLUE / GREEN DEPLOYMENT Using Ingress 100% Pod (Service Account) etcd 1 Kubernetes API Server Authentication Authorization Admission Control 2 3 4 5 -
MONITORING CONSIDERATIONS Kubernetes* Container* Host Cluster services, services, pods,
deployments metrics Container native metrics Traditional resource metrics - cpu, memory, network, storage prometheus + grafana kubernetes-state-metrics probes Stack Metrics Tool node-exporter Kubernetes metrics server: kubelet:cAdvisor Microservices Distributed applications - traditional app metrics - service discovery - distributed tracing prometheus + grafana jaeger tracing istio -
Chris Van Tuin Chief Technologist, NA West / Silicon Valley
[email protected] Be • Don’t ru • If you m limit Lin • Limit SS • Use nam • Define r • Enable • Apply S • Apply S and se • Run pro unprivile http://blog.kubernetes.io/2016/08/security-best-practices-kubernetes-deployment.html Kernel Hardware (Intel, AMD) or Virtual Machine Containers Containers Containers Unit File Docker Image Container CLI SYSTEMD Cgroups Namespaces SELinux Drivers seccomp Read Only mounts Capabilities CONTAINER HOST SECURITY CONTAINERS ARE LINUX -
SELINUX - MANDATORY ACCESS CONTROLS Password Files Web Server Attacker
Discretionary Access Controls (file permissions) Mandatory Access Controls (selinux) Internal Network Firewall Rules Password Files Firewall Rules Internal Network Web Server selinux policy -
SECCOMP AND LINUX CAPABILITIES FILTERING SYSTEM CALLS and DROPPING PRIVILEGES
SECCOMP AND LINUX CAPABILITIES Filtering 300+ system calls & limiting root privileges -
KUBERNETES NODE Network, DNS kube- proxy kubelet Kubernetes Master Linux,
Container Runtime Management, Monitoring, Logs, Security, Registry Storage Chris Van Tuin Chief Technologist, NA West / Silicon Valley [email protected] Best Practices • Don’t run as root • If you must, limit Linux Capabilities • Limit SSH Access • Use namespaces • Define resource quotas • Enable logging • Apply Security Errata • Apply Security Context and seccomp filters • Run production unprivileged containers as read-only http://blog.kubernetes.io/2016/08/security-best-practices-kubernetes-deployment.html Kernel Hardware (Intel, AMD) or Virtual Machine Containers Containers Containers Unit File Docker Image Container CLI SYSTEMD Cgroups Namespaces SELinux Drivers seccomp Read Only mounts Capabilities CONTAINER HOST SECURITY -
KUBERNETES NATIVE ADD-ONS kubevirt github.com/kubevirt operators coreos.com/operators knative github.com/knative istio
istio.io Virtual Machines Day 2 Operations Server- less Service Mesh CI/CD tekton tekton.dev -
OPERATORS AUTOMATED OPERATIONS WITH OPERATORS Automate operational lifecycle at Scale
including packaging, deploying, managing of Kubernetes applications Takes human operational knowledge and encodes it into software Watches over your Kubernetes environment and uses its current state to make decisions in milliseconds.