OpenStack

OpenStack is an open-source cloud platform for building and operating private or managed infrastructure that provides compute, networking, storage, identity, and related services.

Website:

• openstack.org
• OpenStack documentation

Information

OpenStack is commonly used when an organization wants cloud-like infrastructure capabilities while keeping stronger control over data location, hardware choices, tenancy, and platform design.

It is especially relevant for:

• private cloud platforms,
• internal IaaS environments,
• regulated environments,
• hosting providers,
• labs and enterprise infrastructure teams.

Main functionalities and features

• Compute: virtual machine lifecycle and placement,
• Networking: tenant networking, routers, floating IPs, and security groups,
• Storage: block, object, and image management,
• Identity: authentication, authorization, and service catalog,
• Dashboard: browser-based administration and self-service,
• Modular architecture: deploy only the components you need.

Important services to know

• Nova: compute service for virtual machines,
• Neutron: networking service,
• Cinder: block storage,
• Swift: object storage,
• Glance: image catalog,
• Keystone: identity and access,
• Horizon: web dashboard,
• Heat: orchestration,
• Octavia: load balancing.

When it can be useful

OpenStack is a strong option when:

• public cloud is not the only acceptable hosting model,
• you need cloud self-service on owned or controlled infrastructure,
• multi-tenant internal infrastructure is required,
• you want open technology around VM, network, and storage orchestration.

Typical use cases:

• internal cloud platform for development teams,
• enterprise private cloud,
• regulated hosting,
• edge or regional infrastructure,
• test and staging environments with self-service provisioning.

Getting started

For a practical first evaluation:

1. define whether you need compute, networking, block storage, object storage, or the full platform,
2. start with a small lab or proof of concept,
3. choose a supported distribution or deployment approach,
4. validate identity, tenancy, networking, and storage design before scaling,
5. establish clear operational ownership for upgrades, monitoring, backup, and capacity.

Early evaluation questions:

• who will operate the platform,
• what tenancy model is required,
• how networking and security isolation should work,
• where images, snapshots, and backups live,
• whether Kubernetes, VM, or mixed workloads are the main target,
• what upgrade and support model is realistic for the team.

Practical tips and tricks

• Keep architecture simple at the beginning. Large OpenStack designs become hard to run without strong operations.
• Treat identity, quotas, and network boundaries as first-class design topics.
• Validate storage performance and failure handling before onboarding serious workloads.
• Standardize images, naming, and project conventions early.
• Prefer repeatable infrastructure processes instead of manual dashboard-only administration.
• Monitor control plane health, message queues, databases, storage backends, and network services together.

Things to watch

• OpenStack is powerful, but it is not a lightweight platform to operate.
• Operational maturity matters as much as installation.
• Networking complexity grows quickly in multi-tenant environments.
• Upgrades, compatibility, and component sprawl require discipline.
• Teams should define clearly whether they are building an internal cloud or only solving a simpler virtualization need.

Where it fits best

OpenStack fits best for organizations that want:

• open private cloud capabilities,
• internal IaaS,
• strong control over infrastructure design,
• VM, networking, and storage services behind self-service interfaces.

It is less ideal when:

• the team only needs a few virtual machines,
• operational capacity is limited,
• a managed cloud service is clearly sufficient.

See also

• Terraform
• Kubernetes
• Ceph
• MinIO
• OpenStack