The observability & search MSP for GenAI‑native stacks
Elasticverse unlocks the full potential of data, infrastructure and AI observability through managed services built on Elastic, cloud platforms, DevOps and GenAI technologies. We sit at the intersection of observability, infrastructure and AI adoption — pillars of modern tech stacks.
Elasticverse helps companies scale and secure their infrastructure, observability and AI search systems — with expert‑managed services built on Elastic and cloud‑native technologies.
For AI‑driven companies and digital platforms who struggle with managing observability, vector search and DevOps complexity, Elasticverse offers a turnkey MSP solution that integrates best‑in‑class Elastic, cloud and GenAI tooling — enabling faster recovery, deeper insights and scalable infrastructure.
AI/LLM systems require logs, metrics, traces and embeddings to run reliably, creating explosive data growth and new observability complexity.
Elastic’s move into vector search, RAG and GenAI integration is a goldmine. Many companies want AI‑powered search but lack expertise.
Hiring and retaining skilled engineers to run complex infrastructure is hard. Organizations are turning to trusted MSPs to own the platform for them.
Incidents cost millions. Full‑stack monitoring and insights are no longer optional, they are critical to saving money and protecting brand trust.
Managed Elasticsearch, Kibana, Beats & Logstash; observability setup; dashboarding, alerting & APM; index lifecycle management, snapshots & tiering; scaling and cost optimization on Elastic Cloud, Kubernetes or on‑prem.
Managed observability across apps, services & infrastructure. Instrumentation for logs, metrics & traces (OpenTelemetry, Elastic APM); SLO/SLI setup; distributed tracing & performance tuning.
Set up and scale vector search with Elasticsearch; integrate embedding models, similarity search & hybrid retrieval; architect GenAI‑ready search systems such as RAG pipelines for AI assistants.
Infrastructure as code (Terraform, Ansible) for scalable clouds; managed Kubernetes (EKS, AKS, GKE) and Elastic integrations; CI/CD pipelines (GitLab, GitHub, Argo); security & backup management.
AWS, Azure & GCP architecture, migration & optimization; monitoring, alerting & cost governance; Elastic + cloud‑native observability via CloudWatch, Azure Monitor, etc.
Monitoring and tracing AI pipelines; managing embedding stores; observability for RAG pipelines (latency, quality, fallbacks); platform engineering capabilities like standardized infra templates and GitOps.
$2.5k – $5k / month
$5k – $10k / month
$7.5k – $15k / month
Starts at $15k / month
| Service Area | Bronze | Silver | Gold |
|---|---|---|---|
| Incident Response | 8×5 / 24h | 16×5 / 4h | 24×7 / 1h |
| Infrastructure Monitoring | Basic alerts | Full‑stack | ML‑powered |
| Updates & Patching | Monthly | Bi‑weekly | Weekly |
| Dedicated Engineer | No | Shared | Dedicated |
We recommend doubling down on GenAI observability & search, leading with your Elastic‑native strength and pushing “AI‑ready infrastructure MSP” in your messaging. We offer add‑on services like seamless upgrades, data migration and custom dashboards to future‑proof your stack.
To discuss your requirements or request a custom proposal, reach out to our team today.
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