Security v1
This section contains information about security for EDB Postgres for Kubernetes, that are analyzed at 3 different layers: Code, Container and Cluster.
Warning
The information contained in this page must not exonerate you from performing regular InfoSec duties on your Kubernetes cluster. Please familiarize yourself with the "Overview of Cloud Native Security" page from the Kubernetes documentation.
About the 4C's Security Model
Please refer to "The 4C’s Security Model in Kubernetes" blog article to get a better understanding and context of the approach EDB has taken with security in EDB Postgres for Kubernetes.
Code
EDB Postgres for Kubernetes' source code undergoes systematic static analysis, including checks for security vulnerabilities, using the popular open-source linter for Go, GolangCI-Lint, directly integrated into the CI/CD pipeline. GolangCI-Lint can run multiple linters on the same source code.
The following tools are used to identify security issues:
Golang Security Checker (
gosec
): A linter that scans the abstract syntax tree of the source code against a set of rules designed to detect known vulnerabilities, threats, and weaknesses, such as hard-coded credentials, integer overflows, and SQL injections. GolangCI-Lint runsgosec
as part of its suite.govulncheck: This tool runs in the CI/CD pipeline and reports known vulnerabilities affecting Go code or the compiler. If the operator is built with a version of the Go compiler containing a known vulnerability,
govulncheck
will detect it.CodeQL: Provided by GitHub, this tool scans for security issues and blocks any pull request with detected vulnerabilities. CodeQL is configured to review only Go code, excluding other languages in the repository such as Python or Bash.
Snyk: Conducts nightly code scans in a scheduled job and generates weekly reports highlighting any new findings related to code security and licensing issues.
The EDB Postgres for Kubernetes repository has the "Private vulnerability reporting" option enabled in the Security section. This feature allows users to safely report security issues that require careful handling before being publicly disclosed. If you discover any security bug, please use this medium to report it.
Important
A failure in the static code analysis phase of the CI/CD pipeline will block the entire delivery process of EDB Postgres for Kubernetes. Every commit must pass all the linters defined by GolangCI-Lint.
Container
Every container image in EDB Postgres for Kubernetes is automatically built via CI/CD pipelines following every commit. These images include not only the operator's image but also the operands' images, specifically for every supported PostgreSQL version. During the CI/CD process, images undergo scanning with the following tools:
- Dockle: Ensures best practices in the container build process.
- Snyk: Detects security issues within the container and reports findings via the GitHub interface.
Important
All operand images are automatically rebuilt daily by our pipelines to incorporate security updates at the base image and package level, providing patch-level updates for the container images distributed to the community.
Guidelines and Frameworks for Container Security
The following guidelines and frameworks have been considered for ensuring container-level security:
- "Container Image Creation and Deployment Guide": Developed by the Defense Information Systems Agency (DISA) of the United States Department of Defense (DoD).
- "CIS Benchmark for Docker": Developed by the Center for Internet Security (CIS).
About Container-Level Security
For more information on the approach that EDB has taken regarding security at the container level in EDB Postgres for Kubernetes, please refer to the blog article "Security and Containers in EDB Postgres for Kubernetes".
Cluster
Security at the cluster level takes into account all Kubernetes components that form both the control plane and the nodes, as well as the applications that run in the cluster (PostgreSQL included).
Role Based Access Control (RBAC)
The operator interacts with the Kubernetes API server with a dedicated service
account called postgresql-operator-manager
. In Kubernetes this is installed
by default in the postgresql-operator-system
namespace, with a cluster role
binding between this service account and the postgresql-operator-manager
cluster role which defines the set of rules/resources/verbs granted to the operator.
For OpenShift specificities on this matter, please consult the
"Red Hat OpenShift" section, in particular
"Pre-defined RBAC objects" section.
Important
The above permissions are exclusively reserved for the operator's service
account to interact with the Kubernetes API server. They are not directly
accessible by the users of the operator that interact only with Cluster
,
Pooler
, Backup
, ScheduledBackup
, ImageCatalog
and
ClusterImageCatalog
resources.
Below we provide some examples and, most importantly, the reasons why EDB Postgres for Kubernetes requires full or partial management of standard Kubernetes namespaced resources.
configmaps
: The operator needs to create and manage default config maps for
the Prometheus exporter monitoring metrics.
deployments
: The operator needs to manage a PgBouncer connection pooler
using a standard Kubernetes Deployment
resource.
jobs
: The operator needs to handle jobs to manage different Cluster
's phases.
persistentvolumeclaims
: The volume where the PGDATA
resides is the
central element of a PostgreSQL Cluster
resource; the operator needs
to interact with the selected storage class to dynamically provision
the requested volumes, based on the defined scheduling policies.
pods
: The operator needs to manage Cluster
's instances.
secrets
: Unless you provide certificates and passwords to your Cluster
objects, the operator adopts the "convention over configuration" paradigm by
self-provisioning random generated passwords and TLS certificates, and by
storing them in secrets.
serviceaccounts
: The operator needs to create a service account that
enables the instance manager (which is the PID 1 process of the container
that controls the PostgreSQL server) to safely communicate with the
Kubernetes API server to coordinate actions and continuously provide
a reliable status of the Cluster
.
services
: The operator needs to control network access to the PostgreSQL cluster
(or the connection pooler) from applications, and properly manage
failover/switchover operations in an automated way (by assigning, for example,
the correct end-point of a service to the proper primary PostgreSQL instance).
validatingwebhookconfigurations
and mutatingwebhookconfigurations
: The operator injects its self-signed webhook CA into both webhook
configurations, which are needed to validate and mutate all the resources it
manages. For more details, please see the
Kubernetes documentation.
volumesnapshots
: The operator needs to generate VolumeSnapshots
objects in order to take
backups of a PostgreSQL server. VolumeSnapshots are read too in order to
validate them before starting the restore process.
nodes
: The operator needs to get the labels for Affinity and AntiAffinity, so it can
decide in which nodes a pod can be scheduled preventing the replicas to be
in the same node, specially if nodes are in different availability zones. This
permission is also used to determine if a node is schedule or not, avoiding
the creation of pods that cannot be created at all.
To see all the permissions required by the operator, you can run kubectl
describe clusterrole postgresql-operator-manager
.
Calls to the API server made by the instance manager
The instance manager, which is the entry point of the operand container, needs
to make some calls to the Kubernetes API server to ensure that the status of
some resources is correctly updated and to access the config maps and secrets
that are associated with that Postgres cluster. Such calls are performed through
a dedicated ServiceAccount
created by the operator that shares the same
PostgreSQL Cluster
resource name.
Important
The operand can only access a specific and limited subset of resources through the API server. A service account is the recommended way to access the API server from within a Pod.
For transparency, the permissions associated with the service account are defined in the
roles.go
file. For example, to retrieve the permissions of a generic mypg
cluster in the
myns
namespace, you can type the following command:
Then verify that the role is bound to the service account:
Important
Remember that roles are limited to a given namespace.
Below we provide a quick summary of the permissions associated with the service account for generic Kubernetes resources.
configmaps
: The instance manager can only read config maps that are related to the same
cluster, such as custom monitoring queries
secrets
: The instance manager can only read secrets that are related to the same
cluster, namely: streaming replication user, application user, super user,
LDAP authentication user, client CA, server CA, server certificate, backup
credentials, custom monitoring queries
events
: The instance manager can create an event for the cluster, informing the
API server about a particular aspect of the PostgreSQL instance lifecycle
Here instead, we provide the same summary for resources specific to EDB Postgres for Kubernetes.
clusters
: The instance manager requires read-only permissions, namely get
, list
and
watch
, just for its own Cluster
resource
clusters/status
: The instance manager requires to update
and patch
the status of just its
own Cluster
resource
backups
: The instance manager requires get
and list
permissions to read any
Backup
resource in the namespace. Additionally, it requires the delete
permission to clean up the Kubernetes cluster by removing the Backup
objects
that do not have a counterpart in the object store - typically because of
retention policies
backups/status
: The instance manager requires to update
and patch
the status of any
Backup
resource in the namespace
Pod Security Policies
Important
Starting from Kubernetes v1.21, the use of PodSecurityPolicy
has been
deprecated, and as of Kubernetes v1.25, it has been completely removed. Despite
this deprecation, we acknowledge that the operator is currently undergoing
testing in older and unsupported versions of Kubernetes. Therefore, this
section is retained for those specific scenarios.
A Pod Security Policy is the Kubernetes way to define security rules and specifications that a pod needs to meet to run in a cluster. For InfoSec reasons, every Kubernetes platform should implement them.
EDB Postgres for Kubernetes does not require privileged mode for containers execution.
The PostgreSQL containers run as postgres
system user. No component whatsoever requires running as root
.
Likewise, Volumes access does not require privileges mode or root
privileges either.
Proper permissions must be properly assigned by the Kubernetes platform and/or administrators.
The PostgreSQL containers run with a read-only root filesystem (i.e. no writable layer).
The operator explicitly sets the required security contexts.
On Red Hat OpenShift, Cloud Native PostgreSQL runs in restricted
security context constraint,
the most restrictive one. The goal is to limit the execution of a pod to a namespace allocated UID
and SELinux context.
Security Context Constraints in OpenShift
For further information on Security Context Constraints (SCC) in OpenShift, please refer to the "Managing SCC in OpenShift" article.
Security Context Constraints and namespaces
As stated by Openshift documentation
SCCs are not applied in the default namespaces (default
, kube-system
,
kube-public
, openshift-node
, openshift-infra
, openshift
) and those
should not be used to run pods. CNP clusters deployed in those namespaces
will be unable to start due to missing SCCs.
Restricting Pod access using AppArmor
You can assign an
AppArmor profile to
the postgres
, initdb
, join
, full-recovery
and bootstrap-controller
containers inside every Cluster
pod through the
container.apparmor.security.beta.kubernetes.io
annotation.
Example of cluster annotations
Warning
Using this kind of annotations can result in your cluster to stop working.
If this is the case, the annotation can be safely removed from the Cluster
.
The AppArmor configuration must be at Kubernetes node level, meaning that the underlying operating system must have this option enable and properly configured.
In case this is not the situation, and the annotations were added at the
Cluster
creation time, pods will not be created. On the other hand, if you
add the annotations after the Cluster
was created the pods in the cluster will
be unable to start and you will get an error like this:
In such cases, please refer to your Kubernetes administrators and ask for the proper AppArmor profile to use.
AppArmor and OpenShift
AppArmor is currently available only on Debian distributions like Ubuntu, hence this is not (and will not be) available in OpenShift
Network Policies
The pods created by the Cluster
resource can be controlled by Kubernetes
network policies
to enable/disable inbound and outbound network access at IP and TCP level.
You can find more information in the networking document.
Important
The operator needs to communicate to each instance on TCP port 8000 to get information about the status of the PostgreSQL server. Please make sure you keep this in mind in case you add any network policy, and refer to the "Exposed Ports" section below for a list of ports used by EDB Postgres for Kubernetes for finer control.
Network policies are beyond the scope of this document. Please refer to the "Network policies" section of the Kubernetes documentation for further information.
Exposed Ports
EDB Postgres for Kubernetes exposes ports at operator, instance manager and operand levels, as listed in the table below:
System | Port number | Exposing | Name | Certificates | Authentication |
---|---|---|---|---|---|
operator | 9443 | webhook server | webhook-server | TLS | Yes |
operator | 8080 | metrics | metrics | no TLS | No |
instance manager | 9187 | metrics | metrics | no TLS | No |
instance manager | 8000 | status | status | no TLS | No |
operand | 5432 | PostgreSQL instance | postgresql | optional TLS | Yes |
PostgreSQL
The current implementation of EDB Postgres for Kubernetes automatically creates
passwords and .pgpass
files for the the database owner and, only
if requested by setting enableSuperuserAccess
to true
, for the
postgres
superuser.
Warning
Prior to EDB Postgres for Kubernetes 1.21, enableSuperuserAccess
was set to true
by
default. This change has been implemented to improve the security-by-default
posture of the operator, fostering a microservice approach where changes to
PostgreSQL are performed in a declarative way through the spec
of the
Cluster
resource, while providing developers with full powers inside the
database through the database owner user.
As far as password encryption is concerned, EDB Postgres for Kubernetes follows
the default behavior of PostgreSQL: starting from PostgreSQL 14,
password_encryption
is by default set to scram-sha-256
, while on earlier
versions it is set to md5
.
Important
Please refer to the "Password authentication" section in the PostgreSQL documentation for details.
Note
The operator supports toggling the enableSuperuserAccess
option. When you
disable it on a running cluster, the operator will ignore the content of the secret,
remove it (if previously generated by the operator) and set the password of the
postgres
user to NULL
(de facto disabling remote access through password authentication).
See the "Secrets" section in the "Connecting from an application" page for more information.
You can use those files to configure application access to the database.
By default, every replica is automatically configured to connect in physical
async streaming replication with the current primary instance, with a special
user called streaming_replica
. The connection between nodes is encrypted
and authentication is via TLS client certificates (please refer to the
["Client TLS/SSL Connections"](ssl_connections.md#"Client TLS/SSL Connections") page
for details). By default, the operator requires TLS v1.3 connections.
Currently, the operator allows administrators to add pg_hba.conf
lines directly in the manifest
as part of the pg_hba
section of the postgresql
configuration. The lines defined in the
manifest are added to a default pg_hba.conf
.
For further detail on how pg_hba.conf
is managed by the operator, see the
"PostgreSQL Configuration" page of the documentation.
The administrator can also customize the content of the pg_ident.conf
file that by default
only maps the local postgres user to the postgres user in the database.
For further detail on how pg_ident.conf
is managed by the operator, see the
"PostgreSQL Configuration" page of the documentation.
Important
Examples assume that the Kubernetes cluster runs in a private and secure network.
Storage
EDB Postgres for Kubernetes delegates encryption at rest to the underlying storage class. For data protection in production environments, we highly recommend that you choose a storage class that supports encryption at rest.