Datadog Monitoring That Catches Problems First
Build full observability with tracing, metrics, and logs to catch latency spikes and errors before they affect customers.
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Trusted and top rated tech team
Alerts fire after problems start.
Generic monitoring tools create noise. Alert fatigue sets in when teams can’t tell critical issues from normal variations. We implement Datadog with custom instrumentation, intelligent alert correlation, and unified dashboards so your team can catch performance issues and errors before they cause downtime.
Our capabilities include:
- APM and distributed tracing implementation
- Custom metric instrumentation and collection
- Log aggregation and correlation
- Multi-cloud infrastructure monitoring
- Intelligent alerting with anomaly detection
- Cost-optimized data retention strategies
Who we support
Monitoring tools generate data but miss the context that turns metrics into actionable insights. We help teams implement Datadog observability that identifies performance issues before they reach customers.
Teams Drowning in Alerts
Your monitoring generates hundreds of alerts daily and engineers ignore them because most are false positives. You need intelligent correlation that distinguishes real problems from noise so your team responds to incidents that matter.
Companies With Multi-Cloud Infrastructure
You run workloads across AWS, Azure, and GCP with fragmented visibility into performance. Separate monitoring tools create blind spots, and correlating issues across clouds wastes time during incidents.
Organizations Scaling Microservices
Your distributed architecture makes root cause analysis difficult when requests span dozens of services. Tracing requests across boundaries takes hours, and identifying bottlenecks requires manual log correlation.
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.
Why choose Curotec for Datadog?
Our engineers configure Datadog with custom instrumentation that tracks what matters for your application. We build dashboards engineers use daily, implement alert thresholds that reduce noise, and optimize data retention to control costs. You get observability that catches issues in production without overwhelming your team with false positives.
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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.
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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.
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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 that reveals what's actually happening
Distributed Request Tracing
Intelligent Alert Correlation
Custom Metric Instrumentation
Multi-Cloud Unified Dashboards
Log Pattern Recognition
Cost-Aware Data Retention
Tools that make Datadog work with your stack
APM & Tracing Libraries
Our engineers instrument applications with tracing libraries that capture request flows, latency, and errors across services.
- Datadog APM — Application performance monitoring with automatic service discovery, distributed tracing, and resource profiling for code-level insights
- dd-trace — Official instrumentation libraries for Python, Node.js, Ruby, Java, and Go that automatically trace requests with minimal code changes
- OpenTelemetry — Vendor-neutral instrumentation framework that collects traces, metrics, and logs with Datadog exporter integration
- Jaeger — Distributed tracing system compatible with Datadog through OpenTelemetry for request path visualization across microservices
- Zipkin — Open-source tracing with Datadog integration for tracking requests across distributed systems and identifying latency sources
- StatsD — Metrics aggregation daemon that collects custom application metrics and forwards them to Datadog for visualization
Infrastructure Monitoring Agents
Curotec deploys agents and integrations that collect system metrics, container stats, and cloud resource data continuously.
- Datadog Agent — Lightweight daemon collecting system metrics, logs, and traces from hosts with integrations for 600+ technologies
- Kubernetes Integration — Native monitoring for pods, nodes, and clusters with container resource tracking and orchestration event correlation
- Docker Integration — Container-level monitoring with image metrics, resource limits, and per-container performance tracking
- AWS Integration — CloudWatch metric collection with EC2, RDS, Lambda, and 100+ AWS service integrations through IAM role authentication
- Azure Monitor Integration — Native Azure resource monitoring with VM metrics, database performance, and App Service telemetry collection
- GCP Integration — Google Cloud monitoring with Compute Engine, BigQuery, and Cloud Run metrics through service account integration
Log Management & Aggregation
We configure log pipelines that collect, parse, and index application and infrastructure logs with pattern-based filtering.
- Datadog Log Management — Centralized logging with pattern detection, live tail, and correlation with metrics and traces for unified debugging
- Fluentd — Log collection daemon routing application and system logs to Datadog with parsing, filtering, and buffering capabilities
- Logstash — Data processing pipeline ingesting logs from multiple sources with transformation and enrichment before Datadog forwarding
- Vector — High-performance observability data router collecting logs and metrics with Datadog sink integration
- Syslog-ng — System logging daemon forwarding structured logs to Datadog with protocol translation and message filtering
- Filebeat — Lightweight log shipper monitoring file changes and streaming logs to Datadog through Logstash or direct integration
Alerting & Incident Response
Our teams implement alert routing and incident workflows that notify the right people with context for faster resolution.
- Datadog Monitors — Configurable alerts with anomaly detection, forecasting, and composite conditions that reduce false positive noise
- PagerDuty — Incident management platform with Datadog integration for on-call scheduling, escalation policies, and alert acknowledgment
- Opsgenie — Alert routing service with Datadog webhooks for team-based notification, escalation rules, and incident tracking
- Slack — Team communication with Datadog bot integration for alert notifications, metric snapshots, and dashboard sharing in channels
- ServiceNow — ITSM platform creating incidents from Datadog alerts with automated ticket assignment and change management workflows
- VictorOps (Splunk On-Call) — Incident response coordination with Datadog alert ingestion, timeline tracking, and post-incident analysis
Synthetic Monitoring & Testing
Curotec configures synthetic tests that simulate user interactions and API requests to detect issues before real traffic.
- Datadog Synthetics — Automated browser and API tests running from global locations with alerting on failures and performance degradation
- Selenium — Browser automation framework integrated with Datadog for custom user journey testing and performance validation
- Postman — API testing platform with Datadog monitor integration for endpoint availability and response time verification
- k6 — Load testing tool sending performance metrics to Datadog during stress tests for capacity planning and bottleneck identification
- Gatling — Performance testing framework with Datadog integration for tracking response times and error rates under simulated load
- Checkly — API and browser monitoring service forwarding check results to Datadog for unified observability dashboards
Cost Management & Optimization
We implement retention policies and sampling strategies that control Datadog costs while maintaining observability coverage.
- Datadog Usage Metrics — Built-in dashboards showing ingestion rates, host counts, and custom metric volumes for cost tracking
- Log Exclusion Filters — Pattern-based rules dropping noisy logs before indexing to reduce storage costs without losing critical data
- Metric Rollups — Aggregation policies downsampling historical data while preserving recent granularity for cost-efficient long-term storage
- Tag-Based Retention — Custom retention periods by service priority ensuring critical metrics remain accessible longer than routine data
- Trace Sampling — Intelligent trace retention keeping error traces and slow requests while sampling routine successful transactions
- Archive Logs to S3 — Long-term log storage in cost-effective object storage with Datadog rehydration capabilities for historical analysis
FAQs about our Datadog services
How does Datadog differ from basic monitoring?
Basic monitoring checks if services are up. Datadog provides observability—correlating metrics, traces, and logs to show why performance degrades. You get distributed tracing across microservices, anomaly detection on metrics, and log patterns that reveal issues before alerts fire.
What's involved in Datadog implementation?
We instrument applications with tracing libraries, deploy agents to infrastructure, configure integrations for your cloud providers and databases, and build dashboards showing key metrics. Implementation includes alert tuning, log parsing rules, and retention policies that control costs.
How do you reduce alert noise?
We implement intelligent monitors with anomaly detection that adapt to traffic patterns, composite conditions that require multiple signals before alerting, and alert correlation that groups related issues. Your on-call team sees actionable incidents instead of individual metric violations.
Can Datadog monitor multi-cloud infrastructure?
Yes. We configure integrations for AWS, Azure, and GCP that collect metrics from compute, databases, serverless functions, and managed services. Unified dashboards show performance across clouds, and distributed tracing follows requests between providers.
How do you control Datadog costs?
We implement log exclusion filters for noisy data, configure metric rollups for historical data, use trace sampling that keeps errors while sampling routine requests, and set retention policies by priority. You maintain observability without unnecessary ingestion costs.
How quickly can your engineers implement Datadog?
Our engineers typically deploy agents and basic monitoring within the first week. Full implementation with APM instrumentation, custom dashboards, and intelligent alerting takes 3-4 weeks depending on application complexity and integration requirements.
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.
