Our engineers deploy Prometheus with CI/CD tool exporters, develop PromQL queries tracking DORA metrics, and build Grafana dashboards visualizing pipeline performance. We configure Alertmanager for proactive notifications. You get real-time visibility where bottlenecks surface immediately and deployment metrics track automatically without manual reporting.
Prometheus Monitoring That Reveals CI/CD Bottlenecks
Configure Prometheus with PromQL and Grafana to track deployment frequency, lead time, and CI/CD pipeline performance.
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Trusted and top rated tech team
CI/CD pipelines fail without visibility
Teams discover build failures hours after deployment, can’t pinpoint which pipeline steps cause delays, and lack data on deployment frequency or failure rates. Manual Jenkins or GitLab log investigation provides snapshots, not trends. We implement Prometheus with CI/CD tool exporters, PromQL queries for DORA metrics, and Grafana dashboards so your team sees real-time pipeline health, identifies bottlenecks immediately, and tracks deployment performance systematically.
Our capabilities include:
- Prometheus deployment and configuration
- CI/CD tool exporter integration (Jenkins, GitLab, GitHub Actions)
- PromQL query development for DORA metrics
- Grafana dashboard creation and customization
- Alertmanager setup for pipeline failures
- Kubernetes and container metrics collection
Who we support
Manual log investigation doesn’t scale with frequent deployments. We help organizations implement Prometheus monitoring to automate metrics collection, systematically track DORA performance, and identify pipeline bottlenecks with real-time dashboards.
Teams Without Pipeline Visibility
Your deployments fail and teams discover issues hours later through user reports. Build times increase gradually without alerts, resource constraints cause random failures, and investigating requires manually checking Jenkins logs or GitLab job histories across dozens of pipelines.
Companies Tracking DORA Manually
Your leadership wants deployment frequency, lead time, and change failure rate data. Current tracking happens through spreadsheets pulling data manually from CI/CD tools, reporting lags weeks behind reality, and nobody trusts the accuracy of manually compiled metrics.
Organizations Scaling CI/CD Operations
Your pipeline count grows from dozens to hundreds and manual monitoring becomes impossible. Performance degradation goes unnoticed until critical, ops team lacks data to optimize resource allocation, and you need systematic visibility across Jenkins, GitLab, GitHub Actions, and Kubernetes deployments.
Ways to engage
We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.
Staff Augmentation
Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.
Retainer Services
Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.
Project Engagement
Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.
We'll spec out a custom engagement model for you
Invested in creating success and defining new standards
At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.
Helping a Series B SaaS company refine and scale their product efficiently
Why choose Curotec for Prometheus?
1
Extraordinary people, exceptional outcomes
Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.
2
Deep technical expertise
We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.
3
Balancing innovation with practicality
We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.
4
Flexibility in our approach
We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.
Observability capabilities that expose pipeline performance
Real-Time Metric Collection
Scrape build times and deployment data continuously so performance trends surface immediately instead of waiting for manual report compilation.
DORA Metrics Tracking
Track deployment frequency, lead time, change failure rate, and MTTR automatically so leadership gets accurate DevOps performance data without spreadsheets.
PromQL Query Analysis
Query time-series data with flexible expressions so you identify patterns like gradual build slowdowns or resource saturation trends over time.
Cross-Tool Pipeline Visibility
Monitor Jenkins, GitLab, GitHub Actions, and Kubernetes from unified dashboards so you compare pipeline performance across different CI/CD platforms.
Proactive Alert Routing
Route failure notifications to Slack, PagerDuty, or email automatically so teams respond to pipeline issues before users report problems.
Grafana Dashboard Visualization
Visualize metrics through customizable dashboards so stakeholders see deployment trends, bottlenecks, and resource utilization without technical expertise.
Tools powering Prometheus monitoring
Prometheus Core & Configuration
Our engineers deploy Prometheus servers with scrape configuration, retention policies, and clustering for reliable storage.
- Prometheus Server — Time-series database with pull-based metric collection, local storage, and HTTP API for queries
- prometheus.yml — YAML configuration defining scrape targets, intervals, and relabeling rules for metric collection
- Prometheus Operator — Kubernetes-native deployment managing Prometheus instances with custom resource definitions and service discovery
- Thanos — Long-term storage extension providing unlimited retention, global query view, and downsampling for cost optimization
- Cortex — Multi-tenant Prometheus-as-a-service platform with horizontal scaling and long-term storage backends
- VictoriaMetrics — High-performance Prometheus-compatible storage with compression, faster queries, and lower resource requirements
CI/CD Tool Exporters
Curotec implements exporters exposing CI/CD metrics from Jenkins, GitLab, GitHub Actions, and Kubernetes for scraping.
- Jenkins Prometheus Plugin — Native plugin exposing job duration, executor status, and queue metrics in Prometheus format
- GitLab CI Pipelines Exporter — Detailed pipeline metrics including job status, duration, and environment-specific deployment data
- GitHub Actions Exporter — Community-built exporter collecting workflow run data, job timing, and runner utilization metrics
- Buildkite Agent Metrics — Native agent metrics exposing queue depth, job execution time, and infrastructure utilization
- CircleCI Prometheus Orb — Workflow integration collecting job metrics and pushing to Prometheus gateway
- ArgoCD Metrics — GitOps deployment metrics tracking application sync status, health checks, and reconciliation timing
PromQL & Query Development
We develop PromQL queries calculating DORA metrics, identifying trends, and aggregating data for actionable insights.
- PromQL — Prometheus query language with functions for aggregation, rate calculation, and time-series analysis
- Recording Rules — Pre-computed query results reducing dashboard load time and enabling complex metric derivations
- Query Builder Tools — Grafana query editor with autocomplete and syntax validation simplifying PromQL development
- promtool — Command-line utility for validating PromQL expressions, checking rules, and testing queries before deployment
- PromLens — Visual query builder and debugger showing query execution plans and result breakdowns
- Prometheus API — HTTP endpoints for programmatic querying enabling custom dashboards and integration with external systems
Grafana Visualization
Our teams build Grafana dashboards with time-series graphs, heatmaps, and alert panels for pipeline visibility.
- Grafana — Visualization platform creating dashboards with panels, variables, and templating for metric exploration
- Prometheus Data Source — Native Grafana integration querying Prometheus with authentication and query optimization
- Dashboard Templates — Pre-built dashboards for common patterns like CI/CD monitoring, Kubernetes, and infrastructure metrics
- Alert Panels — Visual indicators showing current alert states with threshold visualization and annotation support
- Variable Templates — Dynamic dashboard filtering by environment, pipeline, or namespace without duplicating panels
- Grafana Loki Integration — Log aggregation pairing metrics with log context for comprehensive troubleshooting
Alerting & Notification
Curotec configures Alertmanager with routing rules and notification channels ensuring alerts reach appropriate teams.
- Alertmanager — Alert routing and deduplication with grouping, silencing, and notification channel management
- Alert Rules — PromQL-based conditions defining thresholds for pipeline failures, slow builds, or resource exhaustion
- Slack Integration — Notification delivery to channels with alert details, severity levels, and dashboard links
- PagerDuty Integration — Incident management routing critical alerts with escalation policies and on-call scheduling
- Email Notifications — SMTP-based alerting with HTML formatting and attachment support for detailed alert context
- Webhook Receivers — Custom integrations triggering automated remediation or forwarding alerts to ticketing systems
Kubernetes & Container Metrics
We establish Kubernetes and container metric collection tracking resource usage, pod health, and deployment performance.
- kube-state-metrics — Kubernetes object metrics exposing deployment status, pod counts, and resource quotas
- Node Exporter — System-level metrics from Kubernetes nodes including CPU, memory, disk, and network utilization
- cAdvisor — Container metrics providing resource usage, performance, and health data for running containers
- Kubernetes Service Discovery — Automatic target discovery using Kubernetes API for dynamic pod and service monitoring
- Helm Charts — Package management deploying Prometheus, Grafana, and exporters to Kubernetes with configuration templates
- Prometheus Adapter — Custom metrics API enabling Kubernetes horizontal pod autoscaling based on Prometheus metrics
FAQs about our Prometheus services
How does Prometheus differ from Datadog?
Prometheus is open-source with self-hosted infrastructure and pull-based metric collection using exporters. Datadog is commercial SaaS with agent-based monitoring and broader APM capabilities. Prometheus suits teams wanting infrastructure control and avoiding vendor lock-in. Datadog provides managed service with minimal operational overhead.
What does Prometheus implementation involve?
We deploy Prometheus servers, configure exporters for CI/CD tools, develop PromQL queries tracking DORA metrics, and build Grafana dashboards. Implementation includes Alertmanager setup with notification routing, retention policy configuration, and team training on query development and dashboard customization.
Can Prometheus monitor multiple CI/CD platforms?
Yes. Prometheus scrapes metrics from Jenkins, GitLab, GitHub Actions, CircleCI, and Buildkite simultaneously using specific exporters for each platform. We configure unified dashboards showing comparative pipeline performance, standardize metric collection patterns, and establish alerting across all tools.
How do you track DORA metrics?
We develop PromQL queries calculating deployment frequency from CI/CD job metrics, lead time from commit to deployment timestamps, change failure rate from build status data, and MTTR from incident start to resolution. Recording rules pre-compute these metrics for dashboard performance.
Should we use Prometheus or cloud monitoring?
Prometheus works for teams wanting open-source control, multi-cloud portability, and avoiding vendor lock-in. Cloud-native monitoring (CloudWatch, Azure Monitor) integrates tightly with specific providers but creates switching costs. We assess infrastructure distribution, team expertise, and cost requirements to recommend fit.
How long does Prometheus deployment take?
Our engineers typically deploy Prometheus infrastructure and configure initial exporters within 2-3 weeks. Full implementation with PromQL query development, Grafana dashboards, Alertmanager configuration, and team training takes 4-6 weeks depending on the number of CI/CD platforms and metric complexity.
Ready to have a conversation?
We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.
