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Supporting infrastructure

Infrastructure add-ons for consulting and services engagements

Assistance operates selected data, observability, delivery, runner, and platform components around a broader consulting or managed-services engagement so your team can reduce operational risk without buying an unlimited hosting promise.

Scoped ownership. Local development and CI support. Customer-cloud, Assistance-operated, or hybrid deployment models.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefAdd-on catalogueWhat is includedOwnership modelDeployment models

Supporting infrastructure add-ons help teams close specific operating gaps around a consulting, DevOps/SRE, platform, or delivery engagement. The offer is intentionally scoped: Assistance does not promise to host anything without assessment. We operate components where clear ownership, monitoring, backups, change control, and support boundaries can be agreed in advance.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

Add-on catalogue

Runbooks, dashboards, reviews, and handoff material make the work auditable.

  • Managed PostgreSQL — PostgreSQL operations for teams that need safer backups, recovery planning, and visible database health.
  • Managed MySQL — MySQL and MariaDB reliability, upgrades, backups, and ownership boundaries for application workloads.
  • Managed MongoDB — MongoDB capacity planning, backups, monitoring, and production guardrails for document workloads.
  • Managed Redis — Redis operations for cache, session, queue, rate-limit, and real-time data paths.
  • Managed Kafka — Kafka reliability, monitoring, retention, and change control for event pipelines.
  • Managed OpenSearch — Search and log analytics indexing, lifecycle policies, retention, and troubleshooting support.
  • Managed Prometheus — Metrics, alerting, dashboards, and operational signals managed as an observability add-on.
  • Managed Runners — Self-hosted CI/CD runner fleets for faster builds, stronger isolation, and predictable local-development parity.
  • Managed Git Server — Operated GitLab, Gerrit, Gitea, or Forgejo platforms with clear hosting, identity, backup, upgrade, and runner boundaries.
  • Managed Artifact Repositories — Package and build artifact repositories with retention, access controls, and governance.
  • Managed Docker Registry — Docker and OCI image repositories operated with tag, retention, access, and scanning workflows.
  • Managed Kubernetes — Lightweight Kubernetes support for edge, lab, and constrained environments that still need production habits.
ScopeSection 02

What is included

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

Every add-on starts with an agreed service boundary. Within that boundary, Assistance normally provides:

Operating areaIncluded responsibility
AssessmentWorkload review, ownership gaps, risk level, deployment model, and service-level expectations
ProvisioningArchitecture sizing, environment setup, network placement, secure defaults, and documented access details
OperationsHealth monitoring, patch planning, version lifecycle guidance, maintenance windows, and capacity review
ReliabilityBackup policies, restore validation where applicable, runbooks, incident triage, and recovery planning
SecurityTLS, access control, credential rotation support, audit logging, and vulnerability review where applicable
ObservabilityDashboards, alerts, escalation routing, usage metrics, and operational notes for support handoff
Change managementPlanned changes, upgrade windows, rollback plans, and communication before customer-impacting work

Cloud provider charges, software licenses, application changes, data modeling, and unlisted platform work are scoped separately unless explicitly included in the engagement. DNS changes, delegated zones, TLS issuance, renewal, and certificate hygiene remain documented supporting responsibilities inside the relevant platform or service scope rather than standalone promoted offers.

OutcomeSection 03

Ownership model

Expected changes are framed as practical operating improvements, not unsupported guarantees.

ResponsibilityAssistance ownsCustomer owns
Service runtimeInstallation, configuration, upgrades, monitoring, backups, failover procedures, and runbooks inside the agreed boundaryApplication compatibility, client libraries, release timing, and product behavior
Access and secretsInitial access model, service accounts, rotation procedure, and least-privilege recommendationsUser approvals, identity source of truth, application secret consumption, and internal access reviews
Data and configurationBackup/restore process, retention implementation, platform configuration, and recovery testing when scopedData classification, legal retention rules, schema ownership, DNS naming decisions, and application-level validation
IncidentsPlatform triage, infrastructure remediation, status updates, and post-incident notesApplication incident lead, business impact decisions, and customer communications unless contracted
CostSizing recommendations, utilization review, and Assistance operations pricing for the agreed scopeProvider spend, traffic growth decisions, retention requirements, and business trade-offs

Availability targets, response times, exclusions, measurement windows, and recovery objectives are confirmed per add-on and deployment model. We do not apply a blanket uptime promise to systems we have not assessed or do not operate.

EvidenceSection 04

Deployment models

Runbooks, dashboards, reviews, and handoff material make the work auditable.

ModelBest forNotes
Local development and CI infrastructureRunner fleets, test databases, internal tools, predictable build dependencies, and developer-platform supportOften paired with consulting or DevOps/SRE retainers to reduce delivery friction.
Assistance-operated physical serversDevelopment, CI/CD dependencies, staging services, and steady internal workloadsFlat-rate economics and dedicated hardware. Not a default promise for internet-scale production elasticity.
Customer cloud accountProduction systems that must live inside your AWS, Azure, GCP, Oracle Cloud, or existing tenancyYou keep account ownership and billing. Assistance operates the agreed component inside defined boundaries.
Assistance-managed cloud tenancyTeams that want Assistance to own more of the platform and operations surfaceUseful when the add-on is part of a broader managed environment.
HybridDevelopment and CI on Assistance-operated infrastructure with production in your cloud accountCommon for teams optimizing cost without giving up production cloud controls.
Operating modelSection 05

Selection guide

Responsibilities, response paths, and technical changes are made explicit before work starts.

NeedRecommended add-on
Transactional relational data, JSON support, geospatial, extensionsManaged PostgreSQL
Existing MySQL/MariaDB application, CMS, commerce, LAMP-style workloadManaged MySQL
Flexible document model, catalogs, mobile backend, semi-structured recordsManaged MongoDB
Cache, sessions, rate limits, queues, pub/sub, real-time data structuresManaged Redis
Event streaming, CDC, integration bus, replayable event logManaged Kafka
Full-text search, log analytics, dashboards over indexed dataManaged OpenSearch
Metrics collection, alerting, SLO dashboards, infrastructure visibilityManaged Prometheus
Faster, isolated, self-hosted CI/CD builds and local-dev parityManaged Runners
Need to choose or operate GitLab, Gerrit, Gitea, or ForgejoManaged Git Server — use the option guide when the platform decision is not settled
Private packages, dependency caches, release artifacts, Helm chartsManaged Artifact Repositories
Docker/OCI image publishing, promotion, retention, and scanning workflowsManaged Docker Registry
Lightweight Kubernetes for edge, lab, and constrained environmentsManaged Kubernetes
Operating modelSection 06

Onboarding process

The section clarifies how production responsibilities change once the service is in place.

Assessment step

1. Assessment

We review workload type, data sensitivity, availability expectations, traffic shape, backup requirements, compliance constraints, existing tooling, and the target engagement context.

Operating step

2. Service design

We propose the add-on configuration: topology, sizing, retention, backup or rollback approach, network access, identity model, monitoring, and support tier.

What changes

3. Build and migrate

Assistance provisions the component, documents access, configures dashboards and alerts, and supports migration from self-hosted systems or cloud-native managed services when needed.

What changes

4. Operate and improve

After go-live, we operate the agreed boundary, review capacity and incidents, schedule maintenance, and recommend improvements when usage or risk changes.

EvidenceSection 07

Common adoption scenarios

Runbooks, dashboards, reviews, and handoff material make the work auditable.

Signal quality

Stabilize a dependency that slows delivery

Teams often start with a database, runner fleet, or delivery tool maintained through tribal knowledge. Assistance turns that dependency into an operated add-on with monitoring, documented access, and an escalation path.

What changes

Standardize local development and CI

Development databases, runners, and internal delivery services can run with predictable cost and stronger isolation while production stays in the customer cloud.

What changes

Add operational coverage without hiring specialists

Use Assistance for DBA, streaming, observability, and delivery-platform operations while documented DNS and certificate responsibilities stay attached to the relevant service scope.

Next stepSection 08

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Start with an infrastructure assessment. We will map the add-ons you need, the operating boundaries, the deployment model, and the support language required for the engagement.

Request infrastructure assessment →

Next stepSection 09

Frequently asked questions

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Is this a replacement for cloud-managed services like RDS, MSK, OpenSearch Service, Cloud DNS, or ACM? Sometimes. We can operate native cloud-managed services in your account, run open-source equivalents on dedicated infrastructure, or use a hybrid model. The right choice depends on cost, control, compliance, and operational requirements.

Who owns the cloud account and infrastructure bill? For customer-account deployments, you own the account and provider bill. Assistance owns the agreed operational responsibilities and charges a service fee for that scope.

Can you migrate existing production data or platform configuration? Yes, when migration is scoped by size, downtime tolerance, compatibility, access, and rollback needs. Data, DNS, delivery-platform, and certificate migrations all require an explicit cutover plan.

Do all add-ons include 24/7 support? No. Monitoring and support are defined by the selected plan. Critical response is available for covered production services, but it is not implied for every assessment or development-only environment.

Can we keep application ownership? Yes. Assistance operates the infrastructure add-on. Your team keeps application architecture, schema decisions, business logic, release timing, and customer-facing product decisions unless a broader service agreement says otherwise.

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