5 clusters each with standalone Prometheus, no global view.
Stop Drowning in
Alert Noise.
Production Prometheus with smart AlertManager routing and Thanos for unlimited scale.
Trusted across Europe
Industries we serve.
Engineering teams in regulated, mission-critical industries — every engagement audited, documented, and production-graded.
Banking & Payments
FinTech
PCI-DSS compliant payments and core banking infrastructure — sub-100ms p99 latency, end-to-end audit trail, and tokenization at the edge.
PCI-DSS · ISO 27001
Patient Data
Healthcare
HIPAA-aware patient data pipelines
HIPAA · SOC2
5G & Networks
Telecom
5G core network observability at scale
NFV · ETSI MANO
Retail & Marketplaces
E-Commerce
99.99% uptime during peak traffic events
PCI-DSS · GDPR
Sovereign & Public
Government
Sovereign cloud with full audit trails
eIDAS · FIPS 140-2
Fleet & IoT
Logistics
Real-time fleet tracking & IoT ingestion
MQTT · OPC-UA
Pull-BasedDeterministic Monitoring
PromQLPowerful Query Language
Thanos/CortexUnlimited Retention
High-AvailabilityRedundant & Resilient
What we deliver
Our prometheus services
Production-grade monitoring and alerting for cloud native infrastructure
Handle 10x your current cardinality without hitting memory walls. We design scalable Prometheus topologies with federation, sharding, and remote write for high-cardinality workloads.
↑ 10x cardinality · HA architectureSpeed up dashboard load times by 90% with pre-computed queries. We implement recording rules that eliminate expensive real-time PromQL calculations and reduce query-time resource usage.
↓ 90% query time · lower CPU usageCut alert noise by 80% with intelligent routing, grouping, and silencing. Every alert fires for a reason, reaches the right person, and comes with a clear runbook.
↓ 80% noise · 0 missed incidentsGet unlimited metric retention without replacing your Prometheus setup. We deploy Thanos for global query views, downsampling, and object storage backends at 70% lower cost.
unlimited retention · ↓ 70% storage costEliminate manual target management across Kubernetes, Consul, EC2, and custom endpoints. We configure automatic discovery with relabeling and filtering for zero-touch monitoring.
0 manual targets · auto-discoveryMonitor anything with custom Prometheus exporters. We build exporters for proprietary systems, legacy applications, and business-specific metrics that standard tooling cannot cover.
custom metrics · full visibilityFree assessment
Get a free Prometheus assessment
Our engineers review your current setup and deliver a prioritized roadmap — no strings attached.
Real Project
Thanos for Multi-Cluster Monitoring
01 / 02
A platform team managing 5 Kubernetes clusters each had standalone Prometheus instances with no global query view and only 2 weeks of retention.
Tech stack
ThanosPrometheusS3Grafana
Thanos Sidecar + Store Gateway with S3 long-term storage.
Global query across all clusters, 1-year retention, $4K/month vs $15K for alternatives.
Metrics that matter
Promtool, Thanos, alerts that actually fire right
Recording rules tuned. Alerts deduped. Long-term storage on object store. Prometheus scales past one cluster — quietly.
~/prometheusready
$promtool check config /etc/prometheus/prometheus.yml$promtool check rules rules/*.yml$promtool query instant http://prom:9090 'rate(http_requests_total[5m])'✓42 rules valid · 0 syntax errors · last sample age: 11s · cardinality: healthy
1 yr+Retention with Thanos
< 30sAlert delivery
90%Less alert noise
Outcomes & method
Prometheus for scalable monitoring
Prometheus is the foundation of cloud native monitoring. We help you architect it for high-availability, extend it with Thanos for global scale, and configure alerting that drives action — not fatigue. Every metric tells a story; we make sure you hear it.
Business outcomes
- 01
Reliable pull-based monitoring
Prometheus pull model gives you deterministic scrape intervals, easy debugging, and independence from application instrumentation timing.
- 02
Unlimited retention with Thanos
Thanos extends Prometheus with cost-effective long-term storage, global querying, and downsampling without replacing your existing setup.
- 03
Actionable alerting
Well-designed AlertManager rules with proper grouping and routing ensure your team responds to real issues, not noise.
How we implement
- 01
Audit & design
We assess your monitoring landscape, cardinality challenges, and retention needs to architect the right Prometheus topology.
- 02
Deploy & configure
We install Prometheus, set up service discovery, configure recording and alerting rules, and deploy Thanos if needed.
- 03
Optimize & scale
We tune cardinality, optimize PromQL queries, implement federation or sharding, and hand off operational runbooks.
Engagement model
How we work
From first call to production — a proven 4-step engagement model that keeps the conversation transparent and the velocity honest.
- 01
Discovery
We audit your current stack, identify gaps, and align on business goals.
- 02
Assessment
A detailed roadmap with priorities, effort estimates, and quick wins.
- 03
Delivery
Our engineers embed with your team and execute sprint by sprint.
- 04
Support
Ongoing monitoring, optimization, and knowledge transfer to your team.
Related disciplines
Related services
Adjacent practices that pair well with this one — most engagements blend two or three.
Common questions
Frequently asked questions
Practical answers about scope, timelines, and how engagements with our Prometheus team usually look.
Thanos is ideal if you want to extend existing Prometheus instances with minimal changes — it adds a sidecar to each Prometheus and provides global querying and S3 storage. Mimir is better for new deployments or when you need multi-tenant metrics at massive scale. We assess your setup and recommend the right approach during discovery.
High cardinality is the most common Prometheus scaling challenge. We address it with recording rules to pre-aggregate expensive queries, relabeling to drop unnecessary labels, sharding across multiple Prometheus instances, and Thanos for federated queries. Most clients see a 60-80% reduction in memory usage after optimization.
A 2-hour deep dive into your current monitoring architecture, cardinality analysis, alerting effectiveness, and retention strategy. You receive a written report with topology recommendations, cardinality optimization opportunities, and a phased scaling roadmap.
Yes. We build custom exporters in Go for any system — proprietary APIs, legacy databases, IoT protocols, and business-specific metrics. Each exporter follows Prometheus best practices with proper metric types, labels, and documentation. We also provide source code and operational runbooks.
Engagements range from a focused 2-week assessment to multi-month platform builds. We price based on scope, not hours — you get a fixed quote after the discovery call. Assessment engagements start at a fraction of the cost of a single senior hire, and typically pay for themselves within the first month through infrastructure savings.
Talk to engineering
Let's talk about your Prometheus strategy
Whether you're starting from scratch or scaling what you have, our engineers are ready to help.