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Database provisioning refers to the process of creating, configuring, and making a database instance available for use by applications or users. It encompasses resource planning such as storage, memory, and I/O capacity; selecting a database engine; applying initial schema templates; and establishing access controls and networking settings. Provisioning can be performed manually or automated through orchestration and automation tools.

The scope of database provisioning includes on-premises environments as well as cloud and hybrid setups. In

Methods for provisioning range from traditional manual installation to automated approaches using infrastructure as code, configuration

Typical workflow steps include gathering requirements (engine, size, performance, availability), creating the database instance, applying security

Variants of provisioning emphasize automation, self-service catalog access, or multi-tenant orchestration, and are often integrated with

cloud
contexts,
provisioning
is
often
part
of
a
broader
Database
as
a
Service
offering,
where
users
request
instances
that
are
automatically
created
and
configured.
Provisioning
may
involve
relational
databases,
NoSQL
systems,
or
multi-model
databases,
and
can
target
single-tenant
or
multi-tenant
deployments.
management,
and
self-service
portals.
Common
technologies
include
Terraform
or
CloudFormation
for
resource
templates,
and
tools
like
Ansible
or
Puppet
for
post-deployment
configuration.
Containers
or
virtual
machines
can
host
provisioned
databases,
while
managed
services
abstract
many
operational
details.
and
networking
configurations,
initializing
the
schema
or
data
load,
configuring
backups
and
monitoring,
and
granting
access
to
users
or
applications.
Ongoing
considerations
include
capacity
planning,
cost
management,
data
security
and
compliance,
backup
SLAs,
and
upgrade
or
migration
strategies.
broader
lifecycle
management
practices.
See
also
Database
as
a
Service,
provisioning,
infrastructure
as
code,
and
data
lifecycle
management.