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Managed observability

Prometheus signals your team can operate

Assistance runs Prometheus, alerting, dashboards, and metric retention so production teams get reliable signals without owning observability platform maintenance alone.

Metrics collection. Alertmanager. Grafana integration. Long-term storage options.

Request observability assessmentView SRE as a Service

Managed metrics platform

We operate scraping, storage, alerting, retention, upgrades, monitoring, and platform reliability.

Actionable alerting

Alerts are tied to ownership, severity, dashboards, and runbooks instead of raw metric noise.

Reliability evidence

Prometheus data supports SLO reviews, capacity planning, incident analysis, and service health decisions.

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 briefBest-fit use casesWhat Assistance operatesOwnership boundaryDeployment options

Managed Prometheus is for teams that need dependable metrics and alerting but do not want Prometheus itself to become another production platform nobody owns. Assistance operates the observability stack while your team owns service meaning, response decisions, and product reliability priorities.

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

Best-fit use cases

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

Use caseWhy Managed Prometheus fits
Infrastructure monitoringServer, container, Kubernetes, network, storage, and platform metrics
Application healthRequest rate, error rate, latency, saturation, queue depth, and custom metrics
Alerting cleanupReplace noisy pages with actionable alerts tied to ownership and runbooks
SLO visibilityBuild service-level indicators, error budget views, and reliability review dashboards
Managed service visibilityMonitor databases, Redis, Kafka, OpenSearch, registries, and platform dependencies
Operating modelSection 02

What Assistance operates

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

AreaIncluded managed service responsibility
ProvisioningPrometheus deployment, scrape topology, storage sizing, network placement, and secure defaults
CollectionScrape configuration, service discovery patterns, exporter onboarding guidance, and target health monitoring
AlertingAlertmanager setup, routing, severity labels, silences, inhibition rules, and integration with paging/chat tools
DashboardsGrafana data source integration, base dashboards, and service health views where scoped
RetentionLocal retention and long-term storage options such as Thanos/Cortex/Mimir-style patterns when required
MaintenanceVersion lifecycle guidance, patching, configuration changes, maintenance windows, and rollback planning
SupportPlatform incident response and escalation for covered observability services

Assistance operates Prometheus and alerting infrastructure. Your team owns service intent, SLO decisions, business impact definitions, and whether an alert requires product or application remediation. We help turn signals into an operating model, but service ownership must be explicit.

OutcomeSection 03

Ownership boundary

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

ResponsibilityAssistance ownsCustomer owns
Prometheus runtimeDeployment, scraping platform, retention, upgrades, monitoring, and platform incidentsInstrumenting application code and exposing meaningful metrics
Alert routingAlertmanager configuration, integrations, routing mechanics, and noise-reduction implementationService owners, severity policy, escalation decisions, and response behavior
DashboardsPlatform dashboards and agreed service viewsBusiness meaning, product KPIs, and interpretation of application-specific metrics
SLOsTechnical implementation of SLIs/SLO dashboards where scopedChoosing user-facing objectives and accepting error-budget trade-offs
AccessRoles, data source permissions, credential rotation supportUser approval, identity source, and internal access reviews
EvidenceSection 04

Deployment options

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

OptionWhen to use it
Assistance physical serversDevelopment platform monitoring, staging observability, and internal services
Customer cloud accountProduction observability inside existing cloud/network/compliance boundary
Hybrid observabilityCentral managed Prometheus with remote write or federation across environments
SRE engagementCombine Managed Prometheus with service ownership, incident response, SLO, and runbook work
Operating modelSection 05

Reliability and support model

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

TopicManaged Prometheus approach
AvailabilityScoped by topology, retention design, and support plan; HA pairs or long-term storage used where required
Data retentionRetention and downsampling defined by operational and compliance needs
Alert deliveryIntegrations configured for agreed channels; escalation ownership must be defined by customer/team
Platform monitoringPrometheus monitors itself: scrape failures, query pressure, storage, rule evaluation, and Alertmanager health
ResponseCritical response targets scoped in the support agreement; 24/7 coverage available for covered production observability platforms
OutcomeSection 06

Onboarding

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

Assessment step

1. Observability assessment

We review current metrics, dashboards, alert history, incident pain points, service ownership, environments, retention needs, and existing tools.

Operating step

2. Platform design

Assistance defines scrape architecture, retention, long-term storage, dashboards, alert routing, integrations, access model, and support tier.

Implementation focus

3. Signal implementation

We configure targets, exporters, rules, dashboards, Alertmanager routes, and runbook links. Where needed, we help teams define service-level indicators.

What changes

4. Operate and refine

After go-live, we monitor platform health, tune noisy alerts, review capacity, and keep dashboards aligned with service ownership and incident response.

ScopeSection 07

Supported capabilities

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

  • Prometheus servers, HA patterns, and federation/remote-write designs
  • Alertmanager routing, silencing, inhibition, and notification integrations
  • Grafana dashboards and data source configuration
  • Exporter onboarding for Linux, Kubernetes, PostgreSQL, MySQL, Redis, MongoDB, Kafka, Nginx, HAProxy, and common infrastructure
  • Long-term metric storage patterns where required
  • SLO dashboard implementation when paired with reliability work
ScopeSection 08

Not included by default

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

  • Instrumenting every application endpoint
  • Defining business KPIs without product owner input
  • Providing blanket on-call response for services outside the support plan
  • Guaranteeing alert actionability when service ownership is undefined
  • Replacing all existing observability tools unless migration is scoped
Next stepSection 09

Related products

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

Next stepSection 10

Getting started

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

Request an observability assessment. We will review current metrics, alerts, service ownership, and retention needs before proposing a managed Prometheus model. Request observability assessment →

Next stepSection 11

Frequently asked questions

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

Can you work with our existing Grafana? Yes. We can integrate with existing Grafana or operate Grafana as part of the managed observability platform when scoped.

Do you write application metrics? We advise on instrumentation and can implement it as separate project work. By default, application teams own code-level metrics.

Can this reduce alert noise? Yes, if service ownership and severity criteria are defined. We tune alerts to actionable conditions and connect them to dashboards and runbooks.

Do you provide on-call response for alerts? Only for services explicitly covered by the support agreement. We can route alerts to your team, Assistance, or a shared model depending on scope.

What retention is available? Retention is designed per plan and may include local storage plus long-term storage. We choose based on query needs, compliance, cost, and SLO review requirements.

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Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

Standard

€400€/month

Single Prometheus instance for small to medium setups.

  • Single Prometheus server
  • Grafana included
  • Alertmanager
  • 30-day retention
  • High availability
Most popular

HA Setup

€700€/month

High-availability Prometheus with Thanos or Cortex.

  • HA Prometheus pair
  • Grafana + Alertmanager
  • Long-term storage (Thanos/Cortex)
  • 1-year retention
  • High availability

Pricing calculator

Select the services you need to estimate your monthly cost.

Databases

from 400 €/mo
from 350 €/mo
from 600 €/mo
from 200 €/mo
from 800 €/mo
from 500 €/mo

Observability & Ops

from 250 €/mo
from 400 €/mo
from 300 €/mo
from 400 €/mo
from 200 €/mo
from 150 €/mo

Estimated monthly total

0 €/mo

Does not include server infrastructure costs (compute, storage, egress).

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