Cloud security is the operating discipline used to protect cloud accounts, servers, applications, networks, and data from unauthorized access, avoidable exposure, loss, and disruption. For developers and small teams, the most useful cloud security best practices are simple: protect privileged identities, expose only required services, harden and patch servers, separate secrets, keep internal services private, maintain recoverable backups, and make alerts lead to an owned response.
Raff Technologies workloads follow the same model. The cloud platform protects the infrastructure it operates, while your team still decides who can change resources, which ports are reachable, how the guest operating system is maintained, where application credentials live, and how production is restored after a failure.
The goal is not to deploy the largest possible security toolset. It is to build a small, repeatable security baseline that every production VM receives.
Cloud security best practices: quick answer
For a typical cloud server or VPS, start with these controls:
- Require strong authentication and MFA for privileged accounts where supported.
- Use individual administrator identities instead of shared credentials.
- Restrict SSH and RDP to approved administrative paths.
- Expose only the public ports the application actually needs.
- Keep databases, caches, queues, dashboards, and internal APIs on private paths.
- Patch the operating system, runtime, dependencies, and internet-facing software regularly.
- Keep secrets out of source code, images, and reusable templates.
- Use least-privilege credentials for applications, CI/CD, monitoring, and automation.
- Configure backups and snapshots according to recovery requirements.
- Test restoration rather than trusting backup-job status alone.
- Monitor privileged access, security changes, application health, storage, and backup failures.
- Keep a short incident runbook with named ownership.
| Security area | Minimum practical control | Common failure |
|---|---|---|
| Identity | MFA where supported + individual privileged accounts | Shared credentials or one unprotected owner account |
| Administration | Restricted SSH/RDP/API access | Management ports broadly exposed |
| Network | Public edge separated from private services | Database or internal dashboard exposed publicly |
| Server hardening | Supported software, patching, minimal services | Forgotten packages and unnecessary listeners |
| Secrets | Scoped credentials outside code | API keys stored in Git or images |
| Data protection | Retained recovery points + restore testing | Backups that cannot rebuild the service |
| Detection | Actionable alerts with an owner | Large log volume nobody reviews |
| Response | Isolation, rotation, recovery, communication | Decisions invented during the incident |
A useful priority order is:
Protect identity first, reduce exposure second, reduce privilege third, then make recovery and detection reliable.
What is cloud security?
Cloud security is the combination of identity, network, host, application, data-protection, monitoring, and operational controls used to reduce the likelihood and impact of incidents in cloud environments.
It includes more than firewall configuration. A secure cloud workload needs controls across several layers:
Cloud account and identities ↓ Network exposure and private paths ↓ VM operating system and services ↓ Application and dependencies ↓ Databases, files, secrets, and backups ↓ Monitoring, response, and recovery
A weakness in any one layer can bypass strong controls elsewhere. A patched VM does not make an exposed database safe. A private network does not make every internal service automatically trusted. A backup does not help if nobody can restore it.
Shared responsibility: what the provider secures and what you secure
Cloud security follows a shared-responsibility model.
The provider operates the infrastructure and platform components it offers. The customer still controls workload-level configuration and access.
Your team typically remains responsible for:
- cloud account access;
- API keys and automation credentials;
- guest operating-system updates;
- SSH and RDP configuration;
- host firewall policy;
- application security;
- database exposure;
- secrets and signing keys;
- user onboarding and offboarding;
- backup retention and restore testing;
- incident ownership.
This distinction matters because many real cloud incidents are configuration or credential failures rather than failures of the physical infrastructure.
Start with a lightweight threat model
A small team does not need a large risk document to improve security. Start by recording:
- workload purpose;
- business owner;
- public endpoints;
- administrative paths;
- sensitive data;
- internal dependencies;
- privileged credentials;
- acceptable downtime and data loss;
- recovery location.
Then ask:
- What can an unauthenticated internet user reach?
- What can a normal authenticated user do?
- What could a compromised application process reach?
- Which credentials can modify production?
- Can one compromised identity affect servers, DNS, source code, and backups?
- What happens if the production VM disappears completely?
This makes security specific to the workload rather than a generic checklist copied from another architecture.
Identity is the first cloud security boundary
An attacker who controls the account used to administer infrastructure may not need to attack the VM itself.
Protect privileged access to:
- the cloud platform;
- source control;
- CI/CD;
- DNS and domain registration;
- email recovery accounts;
- monitoring;
- backups;
- password or secret-management systems.
Use individual identities
Each administrator should use a named identity and their own authentication material.
Avoid:
- shared root passwords;
- one SSH private key copied across a team;
- generic administrator accounts used by several people;
- personal API tokens embedded permanently in automation.
Individual identities make access reviews, offboarding, and incident investigation much easier.
Separate human and machine identities
A developer, CI/CD pipeline, monitoring agent, application service, and backup process should not all use the same credential.
Machine identities should receive only the permissions required for their role. A deployment job that needs to update one application should not automatically receive authority to delete backups, alter billing, or administer unrelated infrastructure.
Cloud server and VPS security starts with public exposure
The first network question for any cloud server is:
What actually needs to be reachable from the public internet?
For many application stacks, the answer is only HTTP/HTTPS at the public edge.
| Component | Typical exposure |
|---|---|
| Public website/API | Public HTTPS |
| SSH or RDP | Restricted administrative path |
| Application runtime port | Localhost or approved private source |
| Database | Private application/admin access |
| Cache or queue | Private approved-service access |
| Monitoring dashboard | Private or strongly authenticated |
| Backup administration | Restricted and separated |
A service can be public without its administrative interface being public.
Use Cloud Firewall Best Practices for detailed inbound/outbound rule design and Private vs Public Admin Access for SSH/RDP architecture.
Keep internal services on private paths
Databases, caches, queues, internal APIs, metrics endpoints, and management dashboards normally do not need broad public access.
A practical architecture is:
Internet ↓ HTTPS Public application / reverse proxy ↓ private VPC path Application, database, queue, cache, monitoring
Private networking reduces exposure, but private does not mean trusted by default. A compromised web application should not automatically gain unrestricted access to every private service.
Apply least privilege inside the private network as well:
- restrict database sources to application/admin paths;
- separate management access;
- avoid broad private CIDR access when a narrower rule is practical;
- remove rules tied to retired servers;
- review both IPv4 and IPv6 exposure.
Read Private Networking: Public vs Private Traffic for the architecture decision.
Server hardening: reduce the maintenance and attack surface
Server hardening means reducing unnecessary software, services, permissions, and exposure while keeping the components the workload actually requires supported and patched.
A practical cloud server hardening baseline includes:
- install a supported operating system;
- apply current security updates;
- remove or disable unused services;
- review listening ports;
- restrict administrative access;
- run applications as non-root/non-administrator where practical;
- use service-specific accounts;
- limit file-system permissions;
- remove temporary troubleshooting packages;
- keep runtimes and application dependencies supported;
- review startup services and scheduled jobs.
Patch by exposure and impact
Prioritize:
- internet-facing authentication and remote-access vulnerabilities;
- externally reachable frameworks, web servers, and runtimes;
- privilege-escalation issues;
- internal components reachable from exposed workloads;
- lower-risk packages during the normal maintenance cycle.
Create a recovery point before high-impact upgrades and test important changes outside production where practical.
Review listening services
A server can expose software you did not intend to publish. After deployment and major changes, verify what is actually listening and which interfaces those services bind to.
An application runtime on port 3000 or 8080 may be appropriate behind a reverse proxy while remaining inappropriate for direct public exposure.
SSH and RDP need stronger controls than user traffic
Remote administration can change the operating system, so it deserves a tighter boundary than a public web application.
Prefer one or more of these patterns:
- trusted source IPs;
- VPN access;
- bastion or controlled gateway access;
- private-network administration;
- time-bounded temporary access.
For Linux, use SSH keys where appropriate and disable obsolete authentication methods. For Windows workloads, use strong individual administrator credentials, restrict RDP reachability, and keep the server patched.
Do not rely only on a strong password while leaving administration broadly reachable. Network reachability and authentication are separate security controls.
Secrets should not live in code or reusable images
Secrets include database passwords, API keys, deployment tokens, private keys, webhook secrets, signing/encryption keys, and backup credentials.
Avoid placing long-lived secrets in Git repositories, container images, reusable VM templates, public or broadly accessible cloud-init scripts, shared chat messages, or general documentation.
Use environment-specific protected variables, a suitable secret-management mechanism, or controlled runtime injection.
Rotate a secret when it is exposed, shared incorrectly, inherited by someone who no longer needs it, or stored in a place that cannot be trusted.
Separate development, staging, and production trust
Development, staging, preview, and production should not share unrestricted credentials and data simply because the same team operates them.
Separate where practical:
- credentials;
- databases;
- storage locations;
- environment variables;
- CI/CD permissions;
- backup deletion rights;
- network policy.
A staging compromise should not expose production credentials. A developer token should not automatically administer every production service.
Use Staging vs Production vs Development Environments for the full environment-separation model.
Application and supply-chain security still matter
A fully patched VM can host a vulnerable application.
Application security should include supported frameworks and runtimes, dependency updates, authentication and authorization checks, input validation, safe file-upload handling, secure session/token design, rate limits where appropriate, restricted application credentials, and controlled release processes.
For software supply chain hygiene, keep lockfiles where appropriate, review update proposals, pin production images deliberately, rebuild images when fixes are needed, remove abandoned dependencies, and verify deployment artifacts and their source.
Backups and restore testing are security controls
Cloud security is also about reducing the impact of destructive incidents.
Backups and recovery points can help after accidental deletion, ransomware, corruption, failed upgrades, compromised administrator actions, and VM loss.
Define Recovery Point Objective (RPO), Recovery Time Objective (RTO), backup frequency, retention, deletion permissions, and how restoration is validated.
A snapshot is useful for short-term rollback before a risky change. A retained backup is better for recovering from an older or wider failure. Databases may also require engine-aware backups or point-in-time recovery.
Use Cloud Snapshots vs Backups for the distinction.
Raff Data Protection currently provides snapshot and automated backup workflows. Snapshot storage is currently $0.06/GB-month, and backup storage above the free protection pool is $0.06/GB-month, with configurable daily or weekly retention from 1 to 365 days.
Pricing can change, so verify the live pricing page before building a cost-sensitive retention policy.
Protect the recovery path from the same compromise
If the same administrator identity can delete production and every recovery point, one compromised credential can defeat the recovery plan.
For important workloads, consider separation between production administration, backup deletion rights, recovery credentials, recovery documentation, and independent application-level exports.
The stronger the business impact, the more important it is that production failure does not automatically remove every recovery option.
Monitoring should lead to an action
Small teams rarely benefit from collecting every possible security event if nobody owns the response.
Prioritize signals such as privileged logins, repeated failed authentication, new users or tokens, firewall/security-policy changes, unexpected public exposure, unusual outbound activity, application availability, disk growth, backup failures, certificate expiry, and critical dependency vulnerabilities.
Every useful alert should have an owner, severity, expected first action, and escalation path.
Prepare a short incident runbook
A practical incident runbook should answer:
- Who leads the response?
- How is an affected VM or account isolated?
- Which credentials must be rotated?
- How are DNS and public traffic controlled?
- Where are recent recovery points?
- How is replacement infrastructure created?
- Which evidence must be preserved?
- Who communicates with customers or partners?
- When should outside support be involved?
The runbook should not depend on one person being available.
Security depth should match workload risk
| Workload | Minimum practical posture |
|---|---|
| Disposable test VM | Restricted admin access, no important data, deletion date |
| Public website | HTTPS, patching, narrow firewall, recoverable content/config |
| Internal tool | Strong authentication, restricted access, named owner |
| Customer application | MFA for admins, protected secrets, monitoring, tested recovery |
| Production database | Private path, restricted sources, database-aware backup |
| Windows business workload | Restricted RDP, individual users, patching, data protection |
| CI/CD runner | Scoped credentials, isolated jobs, short-lived secrets where possible |
Do not secure a customer-facing production system with the same assumptions as a disposable development VM.
Cloud security checklist for a new VM
Identity
- Privileged accounts are individual.
- MFA is enabled where supported.
- Human and machine credentials are separate.
- Unused users, keys, and tokens are removed.
Network
- Only required public ports are reachable.
- SSH/RDP is restricted.
- Databases and internal services use private or controlled paths.
- IPv4 and IPv6 exposure are both reviewed.
Server hardening
- The OS is supported and patched.
- Unused services/packages are removed or disabled.
- Listening ports are reviewed.
- Applications avoid unnecessary root/admin privileges.
Application and secrets
- Secrets are outside source code and reusable images.
- Application credentials are least privilege.
- Dependencies and runtimes are supported.
- Development/staging credentials cannot administer production.
Recovery and operations
- Backups/snapshots follow defined RPO/RTO needs.
- A restore has been tested.
- Backup deletion rights are controlled.
- Critical alerts have an owner.
- Incident and recovery steps are documented.
How this applies on Raff
A current Raff security architecture can combine:
- Raff Cloud Servers for Linux and Windows workloads;
- VPC for private service-to-service traffic;
- Security for Raff's current platform security capabilities;
- Site-to-Site VPN when approved networks need a private connection path;
- Data Protection for snapshot and backup workflows;
- Managed Databases when the data layer should be separated from self-managed application VMs.
Raff VPC traffic is private and unmetered. Raff VM public traffic currently uses a 3 Gbps connection with unmetered VM traffic and no VM egress fee. Network pricing does not change the security principle: expose only what the workload requires.
A simple small-team architecture can look like:
Internet ↓ required HTTPS only Public application VM ↓ private VPC Database / internal services Administrators ↓ restricted path VM administration Production data ↓ scheduled recovery Data Protection / application-aware backup