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Data Analytics

Application Monitoring and Observability Services

See how every service, API and user journey is performing, detect problems before customers do, and find root causes in minutes instead of hours.

From Monitoring Dashboards to Real Observability

Modern applications run as dozens of services across containers, managed cloud services and third-party APIs. When checkout slows down or a mobile app starts failing, traditional monitoring shows that something is red, but not why. Engineers jump between separate tools for logs, metrics and traces while the incident drags on and customers notice first.

Hanoi Technology implements observability that connects telemetry end to end. We instrument applications with OpenTelemetry, correlate metrics, logs and traces, define service level objectives that reflect user experience, and build alerting and dashboards that guide engineers straight to the failing component, whether you run Dynatrace, Datadog, Grafana or a cloud-native stack.

The Challenge

Why Incidents Still Take Too Long to Resolve

Most teams have plenty of monitoring data; the problem is turning it into fast, confident answers.

Siloed Telemetry

Logs, metrics and traces live in separate tools with different naming, so correlating a spike in errors with a specific deployment or dependency takes manual detective work.

Alert Fatigue

Hundreds of threshold alerts fire on CPU or memory without user impact. On-call engineers start ignoring notifications, and the important ones get lost.

Blind Spots in Distributed Systems

Requests cross services, queues, serverless functions and external APIs. Without distributed tracing, latency and failures in one hop are invisible to the others.

Rising Observability Costs

Ingesting every log line and high-cardinality metric without a strategy drives storage and license costs up quickly, often without improving insight.

Business Value

What Effective Observability Delivers

Faster Detection and Resolution

Correlated telemetry and clear service maps cut the time needed to detect, diagnose and fix incidents.

Alerts That Matter

SLO-based alerting notifies teams when user experience is genuinely at risk, reducing noise and on-call fatigue.

Safer, Faster Releases

Deployment markers and release comparisons show immediately whether a new version degrades latency or error rates, enabling quick rollback.

Business-Level Visibility

Dashboards link technical health to business KPIs such as orders, sign-ups or payments, so leaders see the real impact of incidents.

Controlled Telemetry Spend

Sampling, retention tiers and log filtering keep observability costs proportional to the value they provide.

Shared Reliability Language

Error budgets give product and engineering a common, objective basis for balancing new features with stability work.

Measure What Users Experience

Customers do not care about CPU utilization; they care whether the page loaded and the payment went through. We anchor observability on service level indicators such as availability, latency and correctness for critical user journeys, then work backward to the infrastructure signals that explain them. That focus keeps dashboards meaningful and alerts actionable.

Our Services

Hanoi Technology’s End-to-End Application Monitoring Services

End-to-end observability services, from strategy to day-to-day operation.

Observability Assessment

We review your current tools, telemetry coverage, alerting rules, incident history and costs, and define a target observability architecture and roadmap.

  • Tooling and coverage review
  • Incident and alert analysis
  • Target architecture and roadmap

OpenTelemetry Instrumentation

We instrument services with OpenTelemetry SDKs and auto-instrumentation, deploy collectors and standardize attributes so telemetry is vendor-neutral and consistent.

  • Instrumentation libraries and agents
  • Collector pipelines
  • Semantic conventions and naming standards

APM and Distributed Tracing

We implement application performance monitoring and end-to-end tracing across microservices, databases, queues and third-party APIs.

  • Service maps and dependency views
  • Trace sampling strategy
  • Database and API performance insights

SLOs and Intelligent Alerting

We define service level indicators and objectives with product owners, implement burn-rate alerts and route notifications to the right on-call teams.

  • SLI and SLO catalog
  • Burn-rate alert rules
  • On-call routing and escalation

Real User and Synthetic Monitoring

We measure actual user experience in web and mobile apps and run synthetic checks on critical journeys from multiple locations.

  • Real user monitoring setup
  • Synthetic journey tests
  • Core Web Vitals tracking

Dashboards, Runbooks and Operations

We build role-based dashboards and runbooks, and can operate monitoring and first-line incident response as a managed service.

  • Engineering and business dashboards
  • Incident runbooks
  • Managed monitoring service

Our Approach

How We Implement Observability

A phased rollout that delivers visibility on critical services first.

  1. 01

    Map Critical Journeys

    We identify the user journeys and services that matter most to the business and document their dependencies and current monitoring.

    Deliverables: Critical journey map · Service dependency inventory

  2. 02

    Define SLIs and SLOs

    Together with product and engineering owners we define measurable indicators and targets for availability, latency and correctness.

    Deliverables: SLO definitions · Error budget policy

  3. 03

    Instrument and Collect

    We roll out OpenTelemetry instrumentation and collectors, standardize naming and connect telemetry to your chosen backend.

    Deliverables: Instrumented services · Telemetry pipeline

  4. 04

    Visualize and Alert

    We build service dashboards, business views and SLO-based alerts, then tune them against real traffic to remove noise.

    Deliverables: Dashboards · Tuned alert rules

  5. 05

    Operate and Optimize

    We review incidents, refine runbooks, manage telemetry costs and extend coverage to further services over time.

    Deliverables: Post-incident reviews · Cost and coverage reports

Use Cases

Observability Use Cases

Scenarios where better monitoring has the biggest operational impact.

Checkout and Payment Reliability

An online retailer traces every checkout request across the cart, pricing, payment and inventory services, pinpointing which dependency causes slow or failed orders.

Microservices Migration Safety Net

A company moving from a monolith to microservices uses tracing and service maps to understand new dependencies and catch regressions early.

Mobile App Performance

A fintech app measures crash rates, startup time and API latency per app version and device, prioritizing fixes that affect the most users.

Third-Party API Monitoring

A platform tracks latency and error rates of payment, mapping and messaging providers, triggering failover before customers are affected.

Release Health Verification

Each deployment is automatically compared with the previous version on error rate and latency, supporting fast rollback if a release degrades service.

Observability Cost Reduction

An engineering organization introduces sampling, log filtering and retention tiers, reducing telemetry volume while keeping the data needed for troubleshooting.

Technology

Monitoring and Observability Tools

We implement open standards and the leading commercial and open-source platforms.

  • OpenTelemetry
  • Dynatrace
  • Datadog
  • New Relic
  • Grafana
  • Prometheus
  • Grafana Loki
  • Grafana Tempo
  • Jaeger
  • Elastic Observability
  • Azure Monitor
  • Amazon CloudWatch
  • Google Cloud Observability
  • PagerDuty
  • Kubernetes
  • Sentry

Platforms

Deliver Application Monitoring on Your Preferred Platform

Why Hanoi Technology

Why Organizations Choose Hanoi Technology

Senior, Cross-Functional Teams

Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.

Proven Delivery

More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.

Radical Transparency

A written update every week and a demo of working software every sprint, so you always know where things stand.

Cost-Effective Global Delivery

Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.

+58%total orders

Success Story · Food delivery

AI dispatch and live tracking for a food delivery startup

A fast-growing urban food delivery startup was losing customers to slow deliveries at peak times. We built AI order dispatching and connected restaurants, drivers and customers in real time.

Read the Full Story

More Success Stories

Fintech

+162%monthly active users

All-in-one digital banking app for a traditional bank

A traditional financial institution wanted to compete with neobanks for mobile-first customers. We replaced a set of separate banking, investing and payment apps with one product that people use every day.

SaaS

75%of tickets fully automated

AI support assistant and smart escalation for a global SaaS company

A project-management SaaS provider receiving thousands of support requests a day needed faster answers without growing the support team. We built an AI assistant grounded in its knowledge base, with escalation to human agents.

Explore All Success Stories

Resources

Featured Resources

Industry trends and practical guidance to help you get more value from data, AI and technology.

Know About Problems Before Your Customers Do

Tell us about your applications, current tools and recent incidents. We will reply within 24 hours to arrange a free consultation and identify your biggest visibility gaps.

Application Monitoring FAQ

What is the difference between monitoring and observability?

Monitoring tracks predefined metrics and alerts when they cross thresholds, which answers questions you anticipated. Observability is the ability to understand why a system behaves the way it does, including problems you did not anticipate, by correlating metrics, logs, traces and events with rich context. In practice we deliver both: reliable monitoring for known failure modes and well-instrumented telemetry that lets engineers investigate new issues quickly.

Why do you recommend OpenTelemetry?

OpenTelemetry is an open, vendor-neutral standard for generating and collecting traces, metrics and logs, supported by most major observability vendors. Instrumenting once with OpenTelemetry means you can change or combine backends without re-instrumenting applications, which reduces lock-in and improves negotiating power on licensing. It also standardizes naming and context propagation across teams and languages, making cross-service correlation far easier.

Which observability platform should we use?

It depends on your scale, team skills, budget and preference for managed versus self-hosted tools. Commercial platforms such as Dynatrace, Datadog and New Relic offer rich out-of-the-box capabilities and automation. Open-source stacks such as Grafana, Prometheus, Loki and Tempo offer flexibility and cost control but need more engineering effort. Cloud-native services suit teams concentrated on a single cloud. We compare options against your real requirements.

How long does an observability implementation take?

A first phase covering a handful of critical services, with instrumentation, dashboards and SLO-based alerts, typically takes six to twelve weeks. Rolling out across a larger estate is done in waves, prioritized by business criticality. Timelines depend on the number of services, languages and environments, and on how easily we can deploy agents or collectors through your existing CI/CD and infrastructure-as-code pipelines.

How do you keep observability costs under control?

We design a telemetry strategy rather than collecting everything. That includes head and tail-based trace sampling, dropping or aggregating low-value logs, controlling metric cardinality, using retention tiers and routing data to cheaper storage for long-term analysis. We also set up cost dashboards by team or service, so owners see what their telemetry costs and can make informed trade-offs.

Can you operate monitoring for us after implementation?

Yes. We can provide a managed monitoring service that covers dashboard and alert maintenance, onboarding of new services, telemetry cost management and first-line triage of alerts with escalation to your engineers. We agree on scope, response times and reporting up front and share regular reports on incidents, SLO performance and improvement actions. You can also choose to take full ownership after knowledge transfer.