Platforms
Dynatrace Observability Implementation
We roll out and tune Dynatrace so applications, infrastructure, user experience and AI workloads are observed end to end, and problems are fixed before customers notice.
Make Dynatrace the Place Where Incidents Get Solved
Dynatrace is a unified observability and security platform. OneAgent and OpenTelemetry collect traces, metrics and logs; Smartscape maps dependencies between services, hosts and cloud resources in real time; Grail stores all telemetry and business events in one data lakehouse queried with DQL; and Dynatrace Intelligence combines causal AI with agentic automation to explain problems and, within guardrails, act on them. Getting those pieces configured well is what separates a useful platform from an expensive alert generator.
Hanoi Technology works with Dynatrace across cloud, Kubernetes and hybrid estates. We plan agent rollouts, instrument custom applications, onboard logs into Grail with sensible retention, define service level objectives with product owners, build dashboards and notebooks, and connect Dynatrace to incident management and CI/CD so findings turn into action.
The Challenge
Why Observability Investments Underdeliver
Tool capability is rarely the problem; rollout and operating practice usually are.
Partial Coverage
Agents deployed on some hosts but not others leave gaps in traces and dependencies. Root-cause analysis stops at the boundary of what is instrumented, and teams go back to guessing.
Alert Noise
Default thresholds and duplicated alerts from several tools overwhelm on-call engineers. Important problems get lost among notifications that nobody acts on.
Uncontrolled Log Costs
Ingesting every log line at full retention drives cost up quickly. Without pipeline rules for filtering, masking and routing, finance pushes back on observability spend.
No Link to Business Impact
Technical metrics alone do not tell product owners whether customers are affected. Without SLOs and business events, prioritization of incidents remains a debate.
Business Value
What a Well-Tuned Dynatrace Platform Delivers
Faster Root-Cause Analysis
Causal AI uses the Smartscape topology to pinpoint the component behind a problem. Engineers start from a probable cause instead of a wall of dashboards.
Full-Stack Context
Traces, logs, metrics, real user sessions and Kubernetes events are connected. One view shows how a slow database query affects a checkout page.
Cost-Aware Telemetry
OpenPipeline rules filter, enrich and mask data before storage in Grail. Retention matches the real value of each data type.
Reliability Measured by SLOs
Service level objectives and error budgets express reliability in terms product owners understand. Release decisions are based on data.
Automation With Guardrails
Workflows and Dynatrace Intelligence agents can open tickets, run remediation steps or roll back changes. Humans stay in the loop until confidence is proven.
Observability for AI Workloads
LLM calls, token usage, latency and errors in AI applications are traced like any other service. Teams can see cost and quality issues in AI features early.
Observability Is an Engineering Practice
Dynatrace provides deep automation, but the outcome still depends on naming conventions, ownership tags, SLO definitions and runbooks. We treat these as part of the implementation, so the platform reflects how your organization actually operates and every alert reaches the team that owns the service.
Our Services
Hanoi Technology’s End-to-End Dynatrace Services
Our Dynatrace services take you from first agent deployment to automated operations.
Observability Assessment and Rollout Plan
We inventory applications, environments and current monitoring tools, then design a phased Dynatrace rollout. Tagging, naming and ownership conventions are agreed before agents are deployed.
- Coverage and gap analysis
- Tagging and ownership standards
- Phased rollout plan
Agent and OpenTelemetry Instrumentation
We deploy OneAgent across hosts and Kubernetes using the Dynatrace Operator, and instrument custom or serverless code with OpenTelemetry where needed. Coverage is verified service by service.
- Kubernetes and host deployment
- OpenTelemetry instrumentation
- Coverage verification report
Log Management and OpenPipeline
We onboard logs into Grail, configure parsing, masking of sensitive fields and routing, and set retention by bucket. Cost estimates are shared before high-volume sources go live.
- Log onboarding plan
- OpenPipeline processing rules
- Retention and cost model
SLOs, Dashboards and Notebooks
We define SLOs with product owners, build dashboards for each team and create DQL notebooks for investigations. Business events link technical health to conversions or orders.
- SLO definitions and error budgets
- Team dashboards
- Investigation notebooks
Alerting, Incident and Automation Integration
We tune alerting profiles and connect Dynatrace to ServiceNow, Jira, PagerDuty, Slack or Microsoft Teams. Workflows automate ticket creation, enrichment and safe remediation steps.
- Alerting profiles
- Incident tool integrations
- Automation workflows
Migration From Legacy Monitoring
We move monitoring from older APM, log or infrastructure tools to Dynatrace in planned stages. Dashboards and alerts are mapped so teams do not lose visibility during transition.
- Tool mapping and migration plan
- Rebuilt dashboards and alerts
- Decommissioning checklist
Our Approach
Our Dynatrace Implementation Approach
We prioritize the services that matter most to customers and expand from there.
- 01
Map Critical Services
We identify customer-facing journeys and the services behind them, along with current incident pain points. These become the first scope for full instrumentation.
Deliverables: Critical journey map · Incident pain point summary
- 02
Instrument and Validate
Agents and OpenTelemetry are deployed on the critical path, then coverage and topology are validated. Gaps are fixed before expanding.
Deliverables: Validated coverage · Topology review
- 03
Define SLOs and Alerting
We agree SLOs and alerting thresholds with service owners, and route problems to the right teams. Noisy alerts are removed or merged.
Deliverables: SLO catalog · Routing and escalation rules
- 04
Integrate and Automate
Dynatrace is connected to incident management, chat and CI/CD pipelines. Automation starts with enrichment and ticketing, then progresses to supervised remediation.
Deliverables: Integrated workflows · Automation runbooks
- 05
Scale and Optimize
Coverage expands to remaining services, log ingestion is optimized and teams are trained on DQL and notebooks. We review platform health and cost regularly.
Deliverables: Expansion plan · Cost and health reviews
Use Cases
Dynatrace Use Cases We Deliver
These scenarios show where Dynatrace changes day-to-day operations.
Kubernetes Platform Observability
A platform team monitors clusters, workloads and service dependencies with the Dynatrace Operator. Problems with pods, nodes or deployments are linked directly to affected services.
Checkout Performance Protection
An ecommerce team tracks real user experience and business events on checkout. Slowdowns are detected and traced to a specific backend service before revenue drops.
Release Validation in CI/CD
New releases are evaluated against SLOs in staging and early production. Deployments that degrade response time or error rates are flagged or rolled back automatically.
Centralized Log Analytics
Logs from applications, cloud services and network devices are processed in OpenPipeline and stored in Grail. Engineers query them with DQL alongside traces and metrics.
AI Application Monitoring
A team running an LLM-powered assistant traces prompts, model latency, token costs and failures. Cost spikes and quality regressions are visible in the same platform as the rest of the stack.
Monitoring Tool Consolidation
An organization replaces several separate APM and log tools with one platform. On-call engineers stop switching between consoles during incidents.
Technology
Technologies in Our Dynatrace Projects
We connect Dynatrace with the infrastructure and workflow tools your teams already rely on.
- Dynatrace OneAgent
- Dynatrace Operator
- Grail
- Smartscape
- Dynatrace Query Language
- OpenPipeline
- Dynatrace Intelligence
- OpenTelemetry
- Kubernetes
- AWS
- Microsoft Azure
- Google Cloud
- ServiceNow
- PagerDuty
- Jira
- GitHub Actions
Platforms
Deliver Dynatrace on Your Preferred Platform
- DynatraceAI-powered observability for applications and infrastructure.Explore
- AWSBuild, migrate and run data and AI workloads on Amazon Web Services.Explore
- Microsoft AzureModernize data, analytics and AI within your Azure tenant.Explore
- Google CloudBigQuery, Looker and Vertex AI for data-driven organizations.Explore
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.
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 StoryMore Success Stories
Fintech
+162%monthly active usersAll-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.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Turn Dynatrace Into Faster Incident Resolution
Book a free consultation to review your monitoring landscape and Dynatrace plans. We reply within 24 hours and can propose a focused rollout for your most critical services.
Dynatrace FAQ
Is Hanoi Technology a Dynatrace partner?
We do not claim official Dynatrace partner status. We are an engineering team that implements and operates Dynatrace for organizations that license it. Subscriptions and vendor support stay with Dynatrace. We focus on instrumentation, configuration, integration, dashboards, SLOs and automation, along with the application and platform engineering that often goes hand in hand with better observability.
Should we use OneAgent or OpenTelemetry?
Often both. OneAgent provides automatic, deep instrumentation for supported technologies with very little configuration, which is ideal for hosts and Kubernetes workloads. OpenTelemetry is useful for custom spans, serverless functions, languages or environments where OneAgent is not an option, or when you want vendor-neutral instrumentation in your code. Dynatrace ingests both, and we design a combination that keeps data consistent.
How do you keep Dynatrace costs under control?
We start by estimating ingestion volumes for logs, traces and metrics, then design OpenPipeline rules to drop low-value data, mask sensitive fields and route data to buckets with appropriate retention. Host monitoring modes are chosen per workload. We review consumption regularly after go-live, because new services and log sources can change the picture quickly.
How long does a Dynatrace rollout take?
Instrumenting a set of critical services and delivering initial dashboards and alerting can typically be done within a few weeks, depending on environment access and change processes. Full rollouts across large estates, log onboarding and automation run longer and are planned in phases. We agree phase scope up front and report progress weekly in writing.
Can Dynatrace automate incident remediation safely?
Yes, when automation is introduced gradually. We begin with enrichment and ticket creation, then add supervised actions such as restarting a service or scaling a workload that require human approval. Fully automatic remediation is reserved for well-understood problems with tested runbooks and clear rollback. Dynatrace Intelligence supports this staged path from recommendations to supervised and then autonomous actions.
Can you migrate us from another monitoring tool?
Yes. We map existing dashboards, alerts and integrations to their Dynatrace equivalents, run both tools in parallel for a defined period, and validate that teams have the visibility they need before decommissioning. Migration is staged by team or environment, which keeps risk low and gives engineers time to learn DQL, notebooks and the new alerting model.