Prometheus in the Cloud Fully Managed, Infinitely Scalable
Get all the power of Prometheus without the operational burden. Bleemeo provides a fully managed Prometheus service with automatic scaling, 13-month metric retention, and enterprise-grade reliability. Send metrics via the Glouton agent (which scrapes your Prometheus endpoints) or via OpenTelemetry Protocol (OTLP) — and query everything with full PromQL support.
15-day free trial • No credit card required • Full feature access • PromQL & Grafana compatible
The Self-Hosted Prometheus Challenge
Storage Limitations
Local disk fills up fast with high-cardinality metrics. External solutions like Thanos, Cortex, or Mimir add significant operational complexity and require dedicated engineering time.
Scaling Complexity
As your infrastructure grows, single Prometheus instances hit memory and CPU limits. Federation distributes load but introduces query fragmentation and data gaps.
High Availability
Running two identical Prometheus servers wastes resources and still requires external deduplication. Alertmanager clustering adds another layer of infrastructure to manage.
Operational Overhead
Prometheus needs regular updates, storage management, backup procedures, and capacity planning. Many teams spend 20-40 hours per month on Prometheus operations alone.
Understanding Prometheus Metrics
Prometheus uses a multi-dimensional data model where each metric is identified by a name and a set of key-value pairs called labels. This model makes it easy to slice, filter, and aggregate data across any dimension. For example, a metric like http_requests_total{method="GET", endpoint="/api/users", status="200"} captures the total number of HTTP GET requests to the /api/users endpoint that returned a 200 status code. Labels give you the flexibility to query metrics by method, endpoint, status code, or any combination thereof, without having to define separate metrics for each permutation.
Prometheus defines four core metric types, each suited to different kinds of measurements. A Counter is a monotonically increasing value, ideal for tracking cumulative totals like request counts or bytes transferred. A Gauge represents a value that can go up or down, such as current CPU usage, memory consumption, or the number of active connections. A Histogram samples observations and buckets them into configurable ranges, making it perfect for measuring request latency distributions or response sizes. Finally, a Summary calculates streaming quantiles (like the 95th or 99th percentile) over a sliding time window, which is useful for real-time SLA tracking. Understanding which metric type to use for each measurement is critical for building accurate dashboards and reliable alerts.
Prometheus enforces naming conventions that promote clarity and consistency. Metric names should use lowercase letters with underscores separating words, include a unit suffix such as _seconds, _bytes, or _total (for counters), and describe what is being measured. For instance, http_request_duration_seconds immediately tells you the metric tracks HTTP request duration in seconds. Bleemeo preserves these conventions and provides full compatibility with standard Prometheus metric names, so migrating existing metrics requires no renaming.
PromQL (Prometheus Query Language) is the powerful query language used to slice and aggregate time-series data in real time. With PromQL, you can compute rates, averages, percentiles, and complex aggregations across thousands of time series in a single expression. Bleemeo fully supports PromQL for dashboards, alert rules, recording rules, and ad-hoc queries, meaning your team can continue using familiar query patterns and existing dashboard definitions without modifications.
One important concept to keep in mind is label cardinality. Cardinality refers to the number of unique combinations of label values for a given metric. High cardinality, such as including user IDs, session tokens, or unique request identifiers as label values, can cause Prometheus to consume excessive memory and degrade query performance. As a best practice, keep label cardinality to hundreds or at most a few thousand unique values per metric. Bleemeo's managed architecture handles higher cardinality more gracefully than self-hosted Prometheus, but following cardinality best practices still ensures optimal query speed and cost efficiency.
How Metrics Flow to Bleemeo
Bleemeo Prometheus: The Better Way
We handle all the operational complexity so you can focus on what matters: your applications. Whether you are running a handful of microservices or thousands of containers across multiple clusters, Bleemeo's managed Prometheus service scales with you — no sharding, no federation, no storage management.
Zero Configuration
Point your Glouton agent at Prometheus endpoints or send metrics via OTLP (OpenTelemetry Protocol). No need to provision storage, configure retention policies, or set up replication. Metrics flow to the cloud within seconds of configuration.
Automatic Scaling
Handle millions of time series without manual sharding or federation. Our multi-tenant architecture distributes load automatically and scales horizontally as your metrics volume grows.
Built-in High Availability
Multi-zone redundancy with automatic failover ensures 99.99% uptime SLA. Every data point is replicated across multiple availability zones for durability and fast query performance. No need to run duplicate Prometheus instances or manage complex replication setups.
Long-Term Storage
13 months of full-resolution metric data by default. No downsampling, no data gaps, no need for external storage solutions like Thanos or Cortex.
Advanced Alerting
Define alerts using familiar PromQL expressions. Built-in notification channels (email, SMS, Slack, PagerDuty, webhooks) replace the need for separate Alertmanager infrastructure.
Powerful Dashboards
Pre-built dashboards auto-populate when services are detected. Create custom dashboards with PromQL queries or connect your existing Grafana installation via our Prometheus-compatible API endpoint.
How It Works
Configure Glouton to Scrape Prometheus Metrics
Add metric targets to your Glouton configuration. Glouton scrapes your Prometheus endpoints and forwards metrics to Bleemeo. You can also send metrics via OTLP (OpenTelemetry Protocol) for teams already using OpenTelemetry instrumentation.
metric:
prometheus:
targets:
- url: http://localhost:9090/metricsDeploy and Monitor
Your metrics automatically flow to Bleemeo. Our platform performs automatic service discovery and populates pre-built dashboards for detected services such as PostgreSQL, Redis, NGINX, and many more. Access your data through the Bleemeo dashboard or connect your existing Grafana installation using our Prometheus-compatible API endpoint as a data source.
Set Up Alerts
Configure alerts using our intuitive interface or import existing Prometheus alert rules. Define PromQL-based alert rules for precise conditions, create recording rules for derived metrics and frequently used aggregations, and choose from 15+ notification channel integrations including email, SMS, Slack, PagerDuty, Microsoft Teams, and webhooks.
Self-Hosted vs Bleemeo Prometheus
| Feature | Self-Hosted | Bleemeo Prometheus |
|---|---|---|
| Setup Time | Days to weeks | Minutes |
| Scaling | Manual configuration | Automatic |
| High Availability | Complex setup required | Built-in |
| Long-Term Storage | Requires external solution | Included |
| Maintenance | 20-40 hours/month | Zero |
| Total Monthly Cost | $5,000-10,000 | $500-3,000 |
| Data Retention | 15 days (default) | 13 months |
Migration Made Simple
Moving from self-hosted Prometheus to Bleemeo doesn't require a big-bang migration. The recommended approach is to run both systems in parallel during the transition period. Deploy the Glouton agent to scrape the same Prometheus endpoints your existing Prometheus server monitors, while keeping your local storage active. This lets you validate that all metrics appear correctly in Bleemeo before decommissioning your self-hosted infrastructure.
If you use Grafana, the transition is even smoother. Bleemeo exposes a Prometheus-compatible API endpoint that works as a standard Grafana data source. Add Bleemeo as a second data source, duplicate your most important dashboards to point at it, and compare the results side by side. Once you are satisfied, simply switch the data source — your dashboard definitions, panel layouts, and variable templates all stay the same.
For teams using Alertmanager, Bleemeo's built-in alerting replaces it entirely. Your existing PromQL alert expressions work without modification. Configure notification channels (email, SMS, Slack, PagerDuty, webhooks) through Bleemeo's interface, and you can retire Alertmanager along with your Prometheus servers. The result is a fully managed monitoring stack with zero operational overhead.
Perfect For
Cloud-Native Applications
Monitor Kubernetes clusters, microservices, and containers with automatic service discovery. Glouton deploys as a DaemonSet and automatically detects all running services on each node.
Growing Startups
Start with 5 servers and scale to 5,000 without re-architecting. No capacity planning, no storage management, no federation complexity. Pay only for what you use.
Enterprise Compliance
Meet SOC 2 requirements with encrypted data in European data centers. 13-month retention satisfies most compliance frameworks without additional storage infrastructure. Role-based access control and SSO integration ensure only authorized team members access your metrics.
DevOps Teams
Eliminate 20-40 hours/month of Prometheus operations. Focus engineering time on feature development instead of managing monitoring infrastructure. No more upgrading Prometheus versions, resizing storage volumes, or debugging query timeouts — let Bleemeo handle it all.
Want to go further? Learn how to configure Prometheus scraping, write PromQL queries, and connect Grafana to your Bleemeo metrics.
Read the DocumentationFrequently Asked Questions
Everything you need to know about Bleemeo's managed Prometheus service
How do I send Prometheus metrics to Bleemeo?
You can send metrics to Bleemeo in two ways: the Glouton agent can scrape Prometheus endpoints locally and forward metrics to the cloud, or you can send metrics via OTLP (OpenTelemetry Protocol). Glouton is the recommended approach as it adds infrastructure context and requires minimal configuration.
Can I use PromQL with Bleemeo?
Yes, Bleemeo fully supports PromQL (Prometheus Query Language). You can use PromQL for custom dashboard widgets, alert conditions, and ad-hoc queries. This means you can migrate existing Prometheus dashboards and alert rules with minimal changes. Our documentation provides examples and best practices for PromQL usage in Bleemeo.
Is Bleemeo compatible with Grafana?
Yes, Bleemeo provides a Prometheus-compatible API endpoint that works as a Grafana data source. You can connect your existing Grafana installation to Bleemeo and use your existing dashboards. This allows teams to continue using familiar tooling while benefiting from Bleemeo's managed storage and scalability.
How long are metrics retained?
Bleemeo retains metrics for 13 months by default, compared to Prometheus's typical 15-day local retention. This long-term storage enables year-over-year comparisons, capacity planning, and compliance requirements. All retention is automatic - no need to configure external storage solutions like Thanos or Cortex.
How does pricing compare to self-hosted?
Self-hosted Prometheus at scale typically costs $5,000-10,000/month including infrastructure, storage solutions, and 20-40 hours of engineering time. Bleemeo's managed service costs $500-3,000/month with zero operational overhead. Use our calculator to compare costs for your specific use case. The savings increase with scale due to our efficient multi-tenant architecture.
What about high availability?
Bleemeo provides built-in high availability with multi-zone redundancy and automatic failover. We achieve 99.99% uptime SLA. This is included in the standard service - no need to configure multiple Prometheus instances, set up replication, or manage failover manually. Your metrics are always available when you need them.
Can I migrate from existing Prometheus?
Yes, migration is straightforward. You can run Bleemeo alongside your existing Prometheus during transition. Deploy the Glouton agent to scrape the same Prometheus endpoints, validate data in Bleemeo, then decommission your self-hosted setup. Alert rules can be migrated using PromQL compatibility. We provide migration guides and support for enterprise customers.
How does automatic scaling work?
Bleemeo's architecture handles millions of time series without manual intervention. As your metrics volume grows, our infrastructure scales automatically. You don't need to resize instances, configure sharding, or set up federation. This is handled transparently - you simply send metrics and we ensure they're stored and queryable regardless of volume.
What alerting capabilities are included?
Bleemeo includes a full alerting system compatible with Prometheus alerting rules. You can define alerts using PromQL conditions, configure multiple notification channels (email, SMS, Slack, PagerDuty, webhooks), set up escalation policies, and use features like grouping and maintenance windows. This replaces the need for separate Alertmanager infrastructure.
Is my data secure?
Yes, security is a priority. All data is encrypted in transit (TLS) and at rest. Bleemeo is hosted in European data centers with SOC 2 compliance. Each customer's data is isolated. We support SSO integration and role-based access control. See our security page for detailed information about our security practices and certifications.
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