Observability Engineering That Answers Why
Build observability that connects symptoms to causes so your team stops staring at dashboards during incidents.
👋 Talk to an observability engineer.
Trusted and top rated tech team
See inside your systems, not just the symptoms
Dashboards show you something is wrong. Observability shows you why. Most teams have metrics and logs but can’t trace a request across services or correlate events during an incident. We instrument systems with structured logging, distributed tracing, and metrics that connect so you can debug production problems instead of guessing.
Our capabilities include:
- Distributed tracing implementation
- Structured logging and log aggregation
- Metrics collection and dashboarding
- OpenTelemetry instrumentation
- Alerting strategy and noise reduction
- Observability platform selection and setup
Who we support
Your dashboards show the fire. Observability shows where it started. We help teams build telemetry that traces problems to root cause.
Teams With Distributed Systems
Requests cross ten services before returning. When something fails, you can’t trace the path or pinpoint latency spikes. Distributed tracing follows requests so you can see the full journey.
Companies Drowning in Alerts
Your dashboards light up constantly but nobody knows what matters. Alert fatigue means real problems get missed. The fix is signal over noise, with alerts tied to actual user impact.
Organizations Flying Blind
You have logs and metrics but they don't correlate. During incidents, you grep through files hoping to find clues. Correlated telemetry lets you ask questions and get answers.
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
Why choose Curotec for observability?
Our engineers have debugged systems with great observability and inherited ones with none. We implement tracing, logging, and metrics that actually connect, so when something breaks you can trace it to root cause instead of correlating timestamps across five different tools.
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 go beyond dashboards
Distributed Tracing
Structured Logging
Metrics & Dashboards
OpenTelemetry Setup
Alert Strategy
Platform Integration
Tools and technologies for observability engineering
Distributed Tracing Platforms
Our engineers implement tracing that follows requests across services so you see the full journey and find bottlenecks.
- Jaeger — Open-source distributed tracing with service dependency visualization, latency analysis, and root cause identification
- Zipkin — Distributed tracing system for gathering timing data and visualizing request flows across microservices
- AWS X-Ray — Managed tracing service with AWS integration for visualizing requests through Lambda, API Gateway, and ECS
- Tempo — Grafana’s cost-effective trace storage with deep integration into the Grafana observability stack
- Honeycomb — High-cardinality observability platform for exploring trace data and debugging complex distributed behavior
- Datadog APM — Full-stack tracing with automatic instrumentation, service maps, and correlation to logs and metrics
Logging & Aggregation
Curotec builds logging pipelines that collect, structure, and centralize logs so you can search and correlate at scale.
- Elasticsearch — Distributed search and analytics engine for storing and querying large volumes of log data at speed
- Loki — Grafana’s log aggregation system designed for cost-effective storage with label-based querying
- Fluentd — Open-source log collector that unifies data collection and routing from multiple sources to multiple destinations
- Fluent Bit — Lightweight log processor for resource-constrained environments with high throughput and low memory footprint
- Splunk — Enterprise log management platform with powerful search, machine learning, and compliance reporting
- AWS CloudWatch Logs — Managed log service with retention policies, metric filters, and integration across AWS services
Metrics & Time-Series Databases
We configure metrics collection that captures system and application health with the granularity you need for debugging.
- Prometheus — Open-source monitoring system with dimensional data model, PromQL querying, and broad exporter ecosystem
- Grafana Mimir — Scalable long-term storage for Prometheus metrics with multi-tenancy and high availability
- InfluxDB — Time-series database optimized for high write throughput and real-time analytics on metrics data
- Datadog Metrics — Managed metrics platform with automatic tagging, anomaly detection, and infrastructure correlation
- Amazon CloudWatch Metrics — AWS-native metrics collection with custom metrics, dashboards, and alarm integration
- Victoria Metrics — High-performance time-series database compatible with Prometheus with lower resource requirements
OpenTelemetry & Instrumentation
Our teams instrument applications with vendor-neutral telemetry using standards that work across languages and platforms.
- OpenTelemetry — Vendor-neutral framework for collecting traces, metrics, and logs with SDKs for all major languages
- OpenTelemetry Collector — Agent for receiving, processing, and exporting telemetry data to multiple backends without code changes
- Micrometer — Application metrics facade for Java with bindings for Prometheus, Datadog, and other monitoring systems
- OpenTracing — Distributed tracing API standard now merged into OpenTelemetry for consistent instrumentation patterns
- Auto-Instrumentation Agents — Language-specific agents that add telemetry to applications without manual code changes
- Elastic APM Agent — Application performance monitoring agent that captures traces, errors, and metrics for the Elastic stack
Visualization & Dashboards
Curotec builds dashboards that surface meaningful patterns instead of walls of charts nobody looks at during incidents.
- Grafana — Open-source visualization platform with dashboards for metrics, logs, and traces from multiple data sources
- Kibana — Elastic’s visualization tool for exploring logs, building dashboards, and analyzing data in Elasticsearch
- Datadog Dashboards — Managed dashboards with drag-and-drop widgets, anomaly overlays, and cross-telemetry correlation
- Chronograf — InfluxDB’s visualization interface for building dashboards and exploring time-series data
- AWS CloudWatch Dashboards — Native AWS dashboards combining metrics, logs, and alarms in customizable layouts
- Perses — Open-source dashboard tool from the Prometheus ecosystem with GitOps-friendly configuration
Alerting & Incident Response
We design alerting that ties to SLOs and user impact so on-call engineers respond to real problems, not noise.
- PagerDuty — Incident management platform with escalation policies, on-call scheduling, and integrations across monitoring tools
- Opsgenie — Alerting and on-call management with routing rules, schedules, and bidirectional integrations with observability stacks
- Alertmanager — Prometheus alerting component that handles deduplication, grouping, silencing, and routing to notification channels
- Grafana Alerting — Unified alerting across Grafana data sources with multi-dimensional rules and notification policies
- Datadog Monitors — Alert configuration with anomaly detection, forecasting, and composite conditions across metrics and logs
- Rootly — Incident management platform with automated workflows, status pages, and postmortem generation
FAQs about our observability engineering
How is observability different from monitoring?
Monitoring checks known conditions and alerts when thresholds break. Observability lets you ask new questions and trace unknown problems through your system. You need both, but observability is what helps you debug novel issues.
Where do we start if we have almost no telemetry?
Distributed tracing first. It gives you the most debugging value fastest. Then structured logging with correlation IDs, then metrics. We prioritize based on what’s causing the most pain in your incidents.
Should we use OpenTelemetry?
OpenTelemetry for most cases. It’s vendor-neutral, widely supported, and avoids lock-in. Vendor agents can be easier to start but make switching platforms expensive later.
How do you cut through alert noise to find real problems?
Tie alerts to SLOs and user impact instead of arbitrary thresholds. Alert on symptoms users feel, not every metric fluctuation. Fewer, smarter alerts mean engineers actually respond.
Can you add observability to our existing applications?
Yes. Auto-instrumentation covers many frameworks without code changes. For deeper visibility, we add manual instrumentation incrementally, starting with the services that cause the most debugging pain.
How long does it take to implement observability?
Basic tracing and logging takes weeks. Full observability with correlated telemetry, dashboards, and alerting takes a few months. We typically start with one critical service and expand from there.
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.