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> Application Performance Monitoring · DevOpsSchool Trainer

Dynatrace Trainer

Private corporate batches, live online cohorts and 1-on-1 mentoring in OneAgent automatic instrumentation, Smartscape topology and Davis root-cause analysis across the full stack — taught by a practitioner who runs it in production.

20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank

DeliveryOnline · Onsite · Hybrid
FormatsCorporate · 1-on-1 · Cohort
AgendaCustomisable
Batch size8–30 engineers
Engineers we've trained work at
JPMorgan ChaseBank of AmericaWells FargoVerizonNokiaWorld BankGE HealthcareVMwareOracleQualcommMercedes-BenzAirbusDatadogSplunkDeloitteInfosysWiproCapgemini
# who teaches it

Your Dynatrace trainer

Rajesh Kumar

Principal DevOps Engineer & Architect

SRE practiceObservability designIncident response20 years in productionPrincipal / architect roles10,000+ engineers trainedM.Tech BITS Pilani25+ certifications

Rajesh teaches Dynatrace as an operator rather than a demo audience: OneAgent deployment across Linux, Windows, AIX, containers and Kubernetes, the ActiveGate roles that decide how data and cloud API calls actually flow, and the Smartscape entity model that everything else — dashboards, management zones, alerting profiles and licence attribution — hangs off. Sessions cover PurePath analysis down to method and SQL level, Davis problem cards and how to judge a proposed root cause rather than accept it, anomaly detection tuning, maintenance windows, synthetic HTTP monitors and browser clickpaths, and cloud and container monitoring for AWS, Azure, Docker and Kubernetes. Licence consumption is treated as an engineering concern throughout, alongside configuration as code through the API.

Twenty years across DevOps, SRE and Security, in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe and others. He has trained engineers at JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus — more than 10,000 people personally. He teaches what he runs, not what he reads.

One practitioner, not a bench

You are booked with a named engineer, and that is who turns up. Marketplaces and larger providers rotate whoever is free, so the person who sold you the agenda is rarely the person teaching it.

The same trainer is available for the next engagement, which matters when a team builds on what it learned last time.

18,000+certified learners
500+corporate batches delivered
50+countries served
100+certification programmes
# faculty

Who delivers Dynatrace engagements

Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.

How your Dynatrace trainer is chosen

Engagements are matched on the tool, not the calendar. For Dynatrace that means a trainer who has run it in production — OneAgent automatic instrumentation, Smartscape topology and Davis root-cause analysis across the full stack — rather than whoever is free that week. You are told who is teaching before you commit, and that person is on the discovery call that shapes the agenda.

Where a batch is large enough to need a second trainer, the pairing is declared up front. The lead trainer stays accountable for the syllabus and the assessment either way.

Rajesh Kumar

Principal DevOps Engineer & Architect

India20 yrsLead trainer

Twenty years across DevOps, SRE and Security in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has trained more than 10,000 engineers personally, at organisations including JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus. He teaches what he runs, not what he reads.

Harsh Mehta

IndiaInstructorCoach

Kapil Gupta

IndiaInstructorCoach

Kunal Jain

IndiaInstructorCoach

Nikhil Gupta

IndiaInstructorCoach

Pranab Kumar

IndiaInstructorCoach

Rohit Ghatol

IndiaInstructorCoach

Amit Agarwal

IndiaInstructorCoach

Anil Kumar

IndiaInstructorCoach

Balachandran Anbalagan

IndiaInstructorCoach

Durga Prasad

IndiaInstructorCoach

Gaurav Aggarwal

IndiaInstructorCoach

# how to engage

Four ways to work with this trainer

Private corporate batch

Teams of 8–30

Custom agenda, your timezone, onsite or online, NDA-friendly.

Request a quote

1-on-1 mentoring

Individual engineers

A private instructor and a curriculum built around your goal.

₹99,999

Live & Interactive cohort

Individuals who want peers

Scheduled batch, max 8 to 10 hours of live instruction.

₹34,999

Self-paced video

Self-starters

Full LMS access — 20+ courses and 50+ tools included.

₹833/mo
# private batches

Private Dynatrace training for your team

A private batch starts with a discovery call. We look at the stack you actually run — the CI system, the cloud, the constraints — and map the agenda onto it, so examples use your topology rather than a generic one.

Delivery is onsite at your premises, live online, or hybrid, scheduled around your release calendar rather than ours. Batches run 8 to 30 engineers.

Every attendee leaves with recordings, slides, lab repositories and a completion certificate. You receive an attendance and assessment report. Invoicing supports PO and GST.

Talk to us about a private Dynatrace batch

What you provide vs what we bring

  • You: the room or the call, and the engineers
  • Us: trainer, agenda, labs, assessment, certificates
  • Labs: we guide your team through provisioning their own free-tier cloud environment — the skill goes with them
# the technology

What is Dynatrace?

Dynatrace is a monitoring and application performance platform built around a single deployment idea: install one agent per host and let it discover everything running there. OneAgent attaches to processes automatically, instruments supported runtimes without code changes, and reports hosts, processes, services, containers and their dependencies. That removes the per-technology agent matrix most monitoring rollouts spend months on, and it is the reason Dynatrace deployments tend to reach coverage faster than they reach usefulness.

What OneAgent produces is a live topology model rather than a set of disconnected metrics. Smartscape maps how every entity relates to every other — process to service to host to datacentre — and PurePath captures individual transactions end to end, down to method-level detail, database statements and remote calls. Because the topology and the transactions share the same entity model, Davis, the platform's causation engine, can correlate a symptom with the deployment, host or dependency that caused it and present one problem rather than four hundred alerts.

Around that core sit the parts an operator actually configures day to day. Deployment comes as SaaS or Dynatrace Managed on-premises, with ActiveGate handling routing, cloud API polling and synthetic execution. Management zones partition a shared environment so teams see only their own estate, and they also drive access control and licence attribution. Then there are the products layered on top: synthetic monitoring with HTTP monitors and browser clickpaths, real user and mobile monitoring, log monitoring, cloud and container integrations for AWS, Azure, Kubernetes and Docker, custom metrics through JMX and extensions, dashboards, and an API broad enough to manage the entire configuration as code.

Why this skill matters now

Automatic instrumentation changed the economics of monitoring large estates. When a single agent covers Java, .NET, Node, databases, containers and the host underneath, coverage stops being the hard part — and the hard part becomes everything after it: deciding what constitutes a problem, partitioning a shared environment sensibly, keeping licence consumption predictable, and making the platform's automated conclusions trustworthy enough that people act on them.

That is the gap organisations hire for. Dynatrace deployments frequently reach full coverage and then stall, because nobody has designed management zones, alerting profiles, maintenance windows or the integration into incident and change tooling. The tool is answering questions correctly and nobody has decided who should receive the answers.

Cost is the second reason depth matters. Host units, Digital Experience Monitoring sessions, synthetic executions and log ingest are all consumption-based, and every one of them is influenced by engineering configuration. Teams that understand the licensing model and monitor their own consumption run the same visibility for materially less than teams who discover it at renewal.

Dynatrace training
# outcomes

What your team can do afterwards

Explain the Dynatrace component model — OneAgent, ActiveGate, cluster and Controller-side services — and choose a deployment for a given estate
Install and operate Dynatrace SaaS or Managed, including cluster sizing, ports, network paths and integration with an existing IT landscape
Deploy OneAgent across Linux, Windows, AIX and Solaris hosts, containers and Kubernetes, and troubleshoot instrumentation gaps
Design management zones that partition a shared environment for access control, dashboards and licence attribution
Analyse performance with PurePath, service flow and Smartscape down to method, query and remote call level
Tune anomaly detection, alerting profiles and maintenance windows so Davis problems are trusted rather than ignored
Build synthetic HTTP monitors and browser clickpaths, and add real user and mobile monitoring for the client-side view
Extend and integrate: JMX and custom metrics, extensions, AWS and Azure monitoring, Kubernetes, and third-party incident tooling
Manage licence consumption deliberately and report on it before renewal rather than after
# curriculum

10 modules. Live demos in a real lab, not slides.

01APM, and what Dynatrace is forLive & Interactive5 hrs · 2 assignments · 1 capstone

The problem space before the product. Why application performance monitoring exists as a discipline, what Dynatrace does differently from agent-per-technology platforms, the SaaS and Managed on-premises models and what each implies for data residency and operations, and an honest comparison with competing platforms.

Topics: Application performance monitoring: what it is and why it exists · What Dynatrace is, and how automatic instrumentation changes a rollout · Competitors compared: strengths, weaknesses and honest fit · SaaS versus Dynatrace Managed on-premises · Managed deployment scenarios and data residency constraints · Environments, tenants and how an organisation is structured on the platform · Where Dynatrace is the wrong purchase

  • Assignments: (1) Compare SaaS and Managed against your own residency, network and operations constraints; (2) Map your estate onto the entity types Dynatrace will discover
  • Capstone: Produce a deployment recommendation for a specific estate with the model, sizing and trade-offs stated
02Architecture and componentsLive & Interactive5 hrs · 2 assignments · 1 capstone

How the platform is assembled. The Dynatrace platform and its solution architecture, each component in detail — cluster nodes, ActiveGate roles, OneAgent — and the network reality that decides whether a rollout succeeds: default ports, proxies, firewalls and outbound connectivity from restricted segments.

Topics: Dynatrace architecture end to end · Understanding the Dynatrace platform and its data flow · Components in detail: cluster nodes, storage, ActiveGate, OneAgent · Environment ActiveGate versus Cluster ActiveGate, and their roles · Solution architecture patterns for distributed estates · Ports used by default and the connectivity matrix · Proxies, firewalls and monitoring from restricted network segments · Sizing and capacity planning for a Managed cluster

  • Assignments: (1) Draw the full data path from a monitored process to the Dynatrace cluster in your network; (2) Produce the firewall request list a real rollout in your organisation would require
  • Capstone: Deliver an architecture and connectivity design ready to hand to a network and security review
03Installation and setupLive & Interactive5 hrs · 2 assignments · 1 capstone

Standing the platform up. Basic setup, a full Dynatrace Managed server installation, ActiveGate installation per environment, and OneAgent installation across the operating systems real estates still run — Linux, Windows, Solaris and AIX — plus integration into existing infrastructure and configuration management.

Topics: Basic setup and first environment configuration · Dynatrace Managed server installation end to end · Environment ActiveGate installation and configuration · OneAgent installation on Linux, Windows, Solaris and AIX · Silent and automated OneAgent deployment through configuration management · Integration with the existing IT landscape · Upgrade and lifecycle management for cluster, ActiveGate and OneAgent · Verifying a deployment: what should appear, and in what order

  • Assignments: (1) Automate OneAgent installation across a host group with no manual steps; (2) Diagnose a host where OneAgent is installed but no processes are being monitored
  • Capstone: Deploy the full stack — cluster or tenant, ActiveGate and OneAgent fleet — with installation fully automated
04OneAgent, entities and automatic instrumentationLive & Interactive5 hrs · 2 assignments · 1 capstone

The component that makes the product distinctive, and the model it produces. Deep monitoring and how processes get instrumented without code changes, process group detection and why its rules matter, the entity model of hosts, process groups, services and applications, Smartscape topology, and PurePath as the transaction record underneath everything.

Topics: OneAgent deep monitoring: how instrumentation is injected · Process group detection rules and why default grouping is often wrong · The entity model: hosts, process groups, processes, services, applications · Service detection rules and request naming · Smartscape topology and dependency discovery · PurePath: the end-to-end transaction record · Using OneAgent for application performance analysis across runtimes · Runtimes covered automatically, and where manual work remains · Excluding processes and controlling what gets instrumented

  • Assignments: (1) Correct a process group detection rule that is merging two unrelated applications; (2) Follow one PurePath from browser through services to the database statement
  • Capstone: Deliver a corrected entity model for one application, with detection and naming rules that survive redeployment
05Web interface, management zones and licensingLive & Interactive5 hrs · 2 assignments · 1 capstone

Operating a shared environment for many teams. Navigating the interface, then the two administrative structures that determine everything else: management zones for partitioning entities by team, application or environment, and the licensing model — host units, DEM units, synthetic and log consumption — with the dashboards to track it.

Topics: Exploring the web interface and the main entity views · Management zones: rules, scope and evaluation order · Using management zones for access control and team-level views · Users, groups, roles and single sign-on · Licensing model: host units, DEM units, synthetic and log consumption · Managing licences across environments and teams · Licence consumption analysis and the consumption overview dashboard · Full-stack versus infrastructure-only monitoring and its licence effect · Reporting consumption before renewal rather than after

  • Assignments: (1) Design management zones so three teams each see only their own estate; (2) Model the licence consumption of a proposed expansion and identify two reduction levers
  • Capstone: Deliver a multi-tenant configuration with management zones, access control and a consumption reporting dashboard
06Dashboards, metrics and extensionsLive & Interactive5 hrs · 2 assignments · 1 capstone

Making the platform show what your organisation needs to see. Custom charts and dashboards for capacity management, application health and cloud platforms, custom views, JMX metric creation, metric ingest, and extensions and plugin deployment for technologies OneAgent does not cover natively.

Topics: Creating dashboards, custom views, metrics and alerts · The data explorer and building charts from the metric model · Creating JMX metrics from Java applications · Custom charts: capacity management, application health, cloud platform views · Metric ingest and custom metrics from external sources · Extensions and plugin deployment for unsupported technologies · Dashboard sharing, ownership and management-zone scoping · Dashboards as code through the API · Designing for on-call versus for management reporting

  • Assignments: (1) Build a capacity management dashboard from real host and process metrics; (2) Expose a JMX metric from an application and chart it alongside service response time
  • Capstone: Deliver a dashboard set — service health, capacity and cloud platform — defined as code and scoped by management zone
07Problems, anomaly detection and alertingLive & Interactive5 hrs · 2 assignments · 1 capstone

The part that decides whether anyone trusts the platform. How Davis forms problems and proposes root causes, anomaly detection settings at global and service level, alerting profiles that route the right problems to the right teams, maintenance windows for planned work, and custom events for conditions the automation will never infer.

Topics: How Davis correlates events into a single problem · Problem cards, impact analysis and evaluating a proposed root cause · Anomaly detection: automatic baselines versus fixed thresholds · Tuning anomaly detection at global, application and service level · Alerting profiles: severity, management zone scope and delay · Custom events for alerting on conditions Davis cannot infer · Maintenance windows and suppressing problems during planned change · Problem notifications and integration with on-call routing · Reducing alert noise without creating blind spots

  • Assignments: (1) Tune anomaly detection on a noisy service until alerts correspond to real user impact; (2) Configure alerting profiles so two teams receive only problems in their management zone
  • Capstone: Deliver an alerting design where every routed problem has an owner, a runbook and a measured false-positive rate
08Digital experience: synthetic, real user and mobileLive & Interactive5 hrs · 2 assignments · 1 capstone

The client-side view the server never sees. HTTP monitors for API and availability checking, browser clickpaths for multi-step journeys, conversion goals, real user monitoring for what browsers actually experience, and mobile application monitoring — with the maintenance realities of each.

Topics: Synthetic monitoring: what it answers that real user data cannot · HTTP monitor configuration, assertions and scheduling · Browser clickpath recording, step editing and ongoing maintenance · Private synthetic locations for internal endpoints · Conversion goals and configuring them against real journeys · Real user monitoring: injection, applications and user actions · Core web vitals and user experience scoring · Mobile application monitoring and crash analysis · Choosing between synthetic and real user signals for an availability target

  • Assignments: (1) Build a browser clickpath for a critical journey and alert on its failure and its duration separately; (2) Configure real user monitoring for one application and identify the slowest user action
  • Capstone: Deliver an outside-in monitoring set for one user journey combining synthetic, real user and a conversion goal
09Cloud, containers and platform monitoringLive & Interactive5 hrs · 2 assignments · 1 capstone

Monitoring infrastructure you do not own the host for. Platform monitoring concepts, AWS and Azure integrations through ActiveGate and cloud APIs, Docker and container monitoring, Kubernetes and OpenShift with the Dynatrace Operator, and the difference between full-stack and cloud-infrastructure monitoring modes.

Topics: Platform monitoring: what changes when there is no host to install on · Dynatrace integration with AWS: roles, polling and supported services · Dynatrace integration with Azure: registration, scope and supported services · Docker monitoring and container-level attribution · Kubernetes and OpenShift monitoring with the Dynatrace Operator · Full-stack versus cloud infrastructure monitoring modes · Serverless and function monitoring · Tagging and automated management zone assignment from cloud metadata · Cost and consumption implications of cloud monitoring at scale

  • Assignments: (1) Connect a cloud account and reconcile discovered services against the actual inventory; (2) Deploy Dynatrace to a Kubernetes cluster and attribute workload cost by namespace
  • Capstone: Bring a mixed estate — VMs, containers, Kubernetes and one cloud provider — under consistent monitoring and tagging
10Integrations, automation and configuration as codeLive & Interactive5 hrs · 2 assignments · 1 capstone

Connecting Dynatrace to the rest of the toolchain and stopping configuration being clicked. Integrations with incident, chat and ticketing systems, reporting into business intelligence tooling, the API surface, configuration as code, and the guidance model for helping application teams use the platform without a permanent gatekeeper.

Topics: Integrating with third-party tools: ServiceNow, PagerDuty, chat and email · Integration with business intelligence and reporting platforms such as Microsoft Power BI · The Dynatrace API: environment, configuration and metrics endpoints · Configuration as code and promoting settings across environments · Release and deployment event ingestion for change correlation · Automating monitoring setup in CI and infrastructure pipelines · Providing guidance and recommendations to application teams · Governance: naming, ownership, tagging and configuration review · Operating the platform: upgrades, health, backup and support workflow

  • Assignments: (1) Push deployment events from CI so Davis correlates a regression with a specific release; (2) Define an environment's alerting profiles and management zones entirely through the API
  • Capstone: Deliver a Dynatrace configuration managed as code, integrated with incident tooling and CI, with a governance standard

Need this mapped to your stack?

We rebuild the agenda around the tools you actually run.

Request a custom agenda
# hands-on

Labs and capstones your engineers actually build

LAB · DEPLOY

OneAgent across a mixed fleet

Automate OneAgent and ActiveGate installation across Linux and Windows hosts plus containers, then diagnose a host that reports but instruments nothing.

oneagentactivegateautomation
LAB · MODEL

Fix the entity model

Correct process group and service detection rules so two applications stop being merged, then verify the change survives a redeployment.

process groupssmartscapedetection rules
LAB · ZONES

One tenant, three teams

Design management zones, groups and permissions so each team sees only its own estate, and attribute licence consumption per zone.

management zonesrbaclicensing
LAB · DAVIS

Problems people believe

Tune anomaly detection on a noisy service, build alerting profiles per team, add a maintenance window, and measure the false-positive rate before and after.

davisanomaly detectionalerting profiles
LAB · EXPERIENCE

Clickpath, RUM and a conversion goal

Record a browser clickpath for a critical journey, add real user monitoring and a conversion goal, and compare what each signal reports during a seeded slowdown.

syntheticrumclickpath
CAPSTONE · AS CODE

Dynatrace managed by API

Define management zones, alerting profiles, dashboards and synthetic monitors through the API, promote them across environments from CI, and push deployment events for change correlation.

apiconfiguration as codeci
# ecosystem

The tools Dynatrace sits next to

Kubernetes
Docker
AWS
Azure
OpenShift
Java
.NET
ServiceNow
PagerDuty
Jenkins
Ansible
Power BI

Who this is for

  • Monitoring and APM engineers responsible for a Dynatrace deployment
  • SREs and production support teams working incidents from Davis problem cards
  • Platform engineers rolling Dynatrace out across many application teams
  • Application developers instrumenting and tuning services they own
  • Cloud and Kubernetes engineers extending monitoring to managed infrastructure
  • Engineering leads accountable for availability targets and licence consumption

Pre-requisites

  • Comfortable on both Linux and Windows command lines — services, processes, ports, log files
  • Working understanding of at least one application runtime, ideally the JVM or .NET
  • Basic networking: proxies, firewalls, DNS and outbound connectivity rules
  • Familiarity with containers, and ideally Kubernetes workloads and namespaces
  • Access to a Dynatrace trial or a sandbox environment in your own tenant, plus lab hosts
# pricing

Straightforward pricing

Every plan includes 1 year of full LMS access — not just this course, the entire DevOpsSchool LMS: 20+ courses, 50+ tools, videos, quizzes, assignments and projects.

Self-paced video

₹833/mo

Billed yearly at ₹9,996

Enroll now

1-on-1 mentorship

₹99,999

Full program, private instructor

Enroll 1-on-1

Corporate / private batch

8–30 engineers · custom agenda · onsite or online · PO and GST invoicing

Get a custom quote

Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.

Terms. Course material remains licensed to the attendee. Read the terms.

Your data. We don't share it with third parties. Privacy policy.

Every attendee gets a verifiable certificate

  • Issued per attendee on completion
  • Verifiable at devopsschool.com/certificates
  • Hard copy available on request
  • Corporate batches receive an attendance and assessment report
DevOpsSchool

Dynatrace Training

Certificate of completion

# feedback

What engineers say

4.4 / 5 from 26 reviews on Trustpilot.

★★★★★
I recently did a SRE Session with Rajesh Kumar from DevOps School and the session was great. Right from 1st day till day 15, we had a very interactive session. Rajesh clarified our doubts and the tool demos were excellent without any hiccups. He simplified the concepts while sticking to the content with a fine balance between theory and practice. Am convinced he is one of the best trainers for SRE & DevOps concepts.
chandrasekaran j · Trustpilot
★★★★★
The trainer (Rajesh) provided very good sessions on SRE profession. Not only hands-on learning on the tools but also SRE mindset.
Peter Wang · Trustpilot
★★★★★
Very good training session. Well explained from the basics to the complex concepts. Also tried to cover practicals and demos within the 3 hour sessions. The learning content and videos are of a great deal of help.
Sreekanth Kannoth · Trustpilot
★★★★★
Basics explanation was exemplary from Rajesh where he dealt with complicated topics to be simple. Great learning stuff personally for me.
Krishna Mohan Yelleti · Trustpilot
★★★★★
Good discussion, helped us to understand different tools in SRE.
Prashant Saxena · Trustpilot
★★★★★
Very detailed explanation and has lots of patience in attending the questionnaire. Thanks again for your wonderful sessions.
Uttam Samudrala · Trustpilot
# comparison

Why a named practitioner beats a marketplace listing

What mattersYouTube + blogsGeneric online courseFreelance marketplaceDevOpsSchool
Named practitionerNoRarelyVaries per bookingYes — same trainer each time
Production experienceUnknownUnknownUnverified20 years, named employers
Custom agendaNoNoSometimesBuilt from your stack
Onsite deliveryNoNoSometimesYes
Lab environmentNoneSandbox that expiresVariesYour own cloud — skill goes with you
AssessmentNoneQuizRarelyAssignments + capstone per module
Per-attendee certificatesNoSometimesRarelyYes
Corporate invoicingNoLimitedVariesPO and GST
Post-training supportNoneForum, time-limitedNoneLifetime forum access
# questions

Frequently asked

Can the agenda be customised for our stack?
Yes — that is the normal case for a private batch. We start with a discovery call, look at your deployment model, operating systems, runtimes and cloud providers, and rebuild the module list around them. Labs then use your topology.
Do we need our own Dynatrace environment for the labs?
A trial tenant covers most of the curriculum. For a corporate batch we usually recommend a sandbox environment inside your own tenant, so the management zone, alerting and dashboard work carries straight into production.
Do you cover Dynatrace Managed as well as SaaS?
Yes. Managed installation, cluster sizing, ActiveGate placement and the network path get their own treatment, because on-premises deployments fail for reasons SaaS deployments never encounter.
How much of the course is automatic versus manual configuration?
OneAgent removes the instrumentation work, not the design work. Roughly two thirds of the course is what you must still configure deliberately: entity model, management zones, anomaly detection, alerting profiles and integrations.
Do you deliver onsite?
Yes. Private batches run onsite at your premises, live online, or hybrid. You provide the room and the engineers; we bring the trainer, agenda, labs, assessment and certificates.
What lab environment do we need?
Attendees provision their own environment — free-tier AWS, Azure or GCP, or local VMs — plus tenant access. We walk them through it; we deliberately do not hand out temporary sandboxes.
How long does a private Dynatrace batch take?
Typically four to five days. Architecture, deployment, the entity model, dashboards and alerting fit in three; adding synthetic and real user monitoring, cloud integrations and configuration as code makes five.
What size are batches?
Private corporate batches run 8 to 30 engineers. Public Live & Interactive cohorts are capped at 10 so everyone gets time with the trainer.
Do attendees get a certificate?
Yes — every attendee receives a completion certificate, verifiable at devopsschool.com/certificates. Corporate batches also receive an attendance and assessment report.
Does the course address licence consumption?
Yes, in its own module and throughout. Host units, DEM units, synthetic executions and log ingest are all affected by engineering configuration, so we cover the consumption dashboards and the levers that actually move them.
What is your refund position?
If we cancel or postpone a cohort, you receive a full refund within 15 days. There is no general money-back guarantee, and GST and gateway fees are not refunded.

Still deciding?

Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.

Talk to an advisor
# ready when you are

Book a Dynatrace trainer — or ask a question first.

  • No spam, no drip sequence
  • Syllabus in 60 seconds
  • A human reply within one business day

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