Skip to main content

Managed search and analytics

OpenSearch operated for production teams

Assistance runs OpenSearch clusters for search, logs, and analytics so your team does not have to own shard sizing, lifecycle policies, upgrades, monitoring, and incident response alone.

Search and log clusters. Index lifecycle policies. 24/7 critical response available for covered production services.

Request OpenSearch assessmentCompare pricing

Cluster operations

We operate nodes, shards, storage, snapshots, upgrades, dashboards, alerts, and capacity planning.

Index lifecycle control

Retention, rollover, shard sizing, hot/warm patterns, and snapshot policies are designed before data growth becomes an outage.

Search and log use cases

Use one managed product for application search, operational logs, audit data, and analytics where OpenSearch is the right fit.

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 OpenSearch is for teams that need search, log indexing, or analytics over operational data without building a specialist search operations function. Assistance operates the OpenSearch platform while your team owns the application data, relevance requirements, and business dashboards.

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 OpenSearch fits
Application and product searchFull-text search, filtering, facets, autocomplete, and relevance tuning workflows
Log analyticsCentralized searchable logs with retention and dashboards
Security and audit dataIndexed event data with access controls, retention, and investigation views
Operational analyticsNear real-time exploration of events, metrics-derived records, and activity streams
Migration from self-hosted Elasticsearch/OpenSearchImprove operations, lifecycle policies, backups, and support coverage
Operating modelSection 02

What Assistance operates

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

AreaIncluded managed service responsibility
ProvisioningCluster topology, node roles, storage sizing, network placement, secure defaults, and endpoint details
ReliabilityCluster health, shard allocation, snapshots, restore process, failover expectations, and runbooks
LifecycleIndex templates, rollover, retention, hot/warm/cold guidance, snapshot policies, and deletion controls
MaintenanceVersion lifecycle guidance, patch planning, maintenance windows, upgrade execution, and rollback planning
SecurityTLS, authentication, role-based access, tenant separation where appropriate, audit logging options, and credential rotation support
ObservabilityDashboards and alerts for cluster health, storage, JVM pressure, shard count, indexing rate, query latency, and snapshot health
SupportSeverity-based support for platform incidents and escalation for covered production clusters

Assistance operates OpenSearch. Your team owns which data should be indexed, mapping semantics, relevance expectations, dashboard meaning, and application behavior. We advise on safe index and query patterns but do not own product search semantics unless scoped separately.

OutcomeSection 03

Ownership boundary

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

ResponsibilityAssistance ownsCustomer owns
Cluster runtimeNodes, shards, upgrades, snapshots, monitoring, and platform incident triageApplications and ingestion clients that write/read data
Index lifecycleTemplates, rollover, retention implementation, and operational guardrailsData retention requirements, index purpose, mapping semantics
Search behaviorQuery performance advice and capacity guidanceRelevance tuning, ranking rules, product search acceptance criteria
Logs and dashboardsPlatform availability and shared dashboard infrastructureWhich logs matter, field meaning, operational/business interpretation
AccessRoles, tenants, service accounts, rotation procedureUser approval, identity ownership, internal access reviews
EvidenceSection 04

Deployment options

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

OptionWhen to use it
Assistance physical serversDevelopment search, staging logs, internal analytics, and predictable log/search workloads
Customer cloud accountProduction search/log clusters close to applications or inside existing compliance/network boundaries
Cloud-managed service operationsAssistance operates Amazon OpenSearch Service or equivalent where provider-managed data plane is preferred
HybridDevelopment and test clusters on Assistance infrastructure with production in cloud
Operating modelSection 05

Reliability and support model

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

TopicManaged OpenSearch approach
AvailabilityTarget availability scoped by cluster topology, node roles, provider dependencies, and support plan
SnapshotsSnapshot frequency and retention defined by data criticality and recovery needs
RetentionLifecycle policies prevent unbounded growth and uncontrolled shard counts
PerformanceQuery latency, indexing pressure, JVM, storage, and shard allocation are monitored for covered clusters
ResponseP1 response targets scoped in support agreement; 24/7 critical response available for covered production services
OutcomeSection 06

Onboarding

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

Assessment step

1. Search and data assessment

We review use case, data sources, retention, query patterns, dashboards, ingest rates, compliance requirements, and current cluster health if migrating.

Operating step

2. Managed cluster design

Assistance proposes topology, node roles, shard strategy, templates, lifecycle policies, snapshot approach, access model, monitoring, and support tier.

What changes

3. Ingestion and migration

We configure endpoints and access, support migration or reindexing strategy, and connect ingestion tools such as Fluent Bit, Logstash, Data Prepper, Beats, or application clients where scoped.

Assessment step

4. Operate and review

After go-live, we monitor cluster health, growth, shard pressure, indexing errors, query latency, and snapshots. Retention and capacity are reviewed before data growth affects availability.

ScopeSection 07

Supported capabilities

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

  • OpenSearch clusters for search and log analytics
  • OpenSearch Dashboards access and dashboard operations
  • Index templates, rollover, retention, and snapshot policies
  • Ingest pipelines and common log shipping patterns
  • Role-based access control and tenant separation where appropriate
  • Migration planning from Elasticsearch or OpenSearch deployments
ScopeSection 08

Not included by default

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

  • Designing product search relevance from scratch
  • Owning application ingestion code or data correctness
  • Unlimited retention, storage, shard count, or dashboards outside the plan
  • Guaranteeing performance for unreviewed high-cardinality mappings or expensive queries
  • SIEM process ownership unless a security operations scope is added
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 OpenSearch assessment. We will inspect data sources, retention, query behavior, cluster health, access needs, and support requirements before proposing a managed design. Request OpenSearch assessment →

Next stepSection 11

Frequently asked questions

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

Can OpenSearch handle both application search and logs? Yes, but they should be separated by index lifecycle, retention, access, and sometimes clusters. We design the boundary based on risk and workload shape.

Do you migrate from Elasticsearch? Yes, subject to version compatibility, plugin usage, data volume, and downtime tolerance. Some migrations are reindex-based rather than in-place upgrades.

Who owns retention rules? Your organization owns legal and business retention requirements. Assistance implements lifecycle policies and monitors storage/shard health.

Can you operate Amazon OpenSearch Service? Yes. We can operate provider-managed OpenSearch services in your account when that deployment model fits better than self-managed clusters.

What SLA applies? Availability and response targets are scoped by topology, provider dependency, support tier, and what Assistance controls operationally.

Ready to get started?

Book a quote review or talk to an engineer.

Get pricing

Pricing

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

Small

€500€/month

Single-node for development or log aggregation.

  • Single OpenSearch node
  • OpenSearch Dashboards
  • Daily snapshots
  • SSL/TLS encryption
  • Multi-node cluster
Most popular

Medium

€1.000€/month

Production cluster with dedicated nodes.

  • 3-node cluster
  • OpenSearch Dashboards
  • Automated snapshots
  • SSL/TLS encryption
  • Dedicated master nodes

Multi-node

€2.000€/month

Large-scale search and analytics cluster.

  • Multi-node cluster
  • Dedicated master + data nodes
  • Continuous snapshots
  • Advanced security
  • Cross-cluster replication

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).

Talk to a senior engineer

Need a clearer path for Managed OpenSearch?

We'll help you understand fit, scope, pricing, and the fastest practical next step for your team.

No obligation • Senior engineer review • Recommendations grounded in your current stack