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Application & Infrastructure Observability
Forty alerts fired. One thing actually broke — Dynatrace monitors apps, services, hosts and Kubernetes from one agent — and reasons over a live dependency map to name the cause of an incident, at a price you can read before the first call.
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Same software. Better outcome — at a lower cost.
How it’s rated
Full scoreboard ↓Quick answer
The Dynatrace platform family
This page covers Application & Infrastructure Observability — the core of the platform. The rest:
Quick facts
30-second orientation- Product
- Full-stack and infrastructure monitoring
- Agent
- OneAgent — one install, no per-service setup
- The core idea
- A live dependency map (Smartscape)
- Root cause
- AI reasons over the map, not correlation
- Kubernetes
- $1.40 per pod-month, published
- Full-stack
- $58/month per 8 GiB host
- Infrastructure
- $29/month per host
- Gartner 2026
- Leader — Observability Platforms
- India
- SaaS on AWS Mumbai
- In India via
- TechBag — INR/GST, scoping and support
Understand observability before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Dynatrace observability?
Full-stack monitoring from one agent — applications, services, hosts and Kubernetes — with a live map of how they depend on each other.
Correlating alerts vs walking the dependency map — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Separate metrics, traces and logs tools | Application & Infrastructure Observability (Dynatrace) |
|---|---|---|
| Finding the cause | Correlate alerts by timestamp | Walk a live dependency map |
| Instrumentation | Per-service config and agents | One agent, auto-discovery |
| Signals | Metrics, traces, logs in three tools | One store, one query language |
| An incident | Forty alerts, one war room | One problem, one named cause |
| The price | A quote after three calls | A published rate card |
| What it is NOT | — | Not cheap on large-memory hosts |
The best test of the core claim costs nothing: instrument a service that has failed before and see whether it names the cause you already know.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
OneAgent
Installs once and discovers processes, services and code on its own. No per-service configuration to maintain as the estate changes — which is where agent sprawl usually starts.
Smartscape
Records, continuously, which service calls which, on what process, on what host. Root-cause analysis reasons over this map instead of guessing from timestamps.
Grail
Metrics, traces, logs and events in one store, queried with DQL. A slow trace and the log line explaining it are one query apart, not two tools apart.
Davis AI
Walks the dependency map from symptom to origin and raises one problem instead of forty alerts. Strongest on a real, messy estate; weakest in a tidy demo.
One agent, one dependency map, one store — Davis AI walks from symptom to origin instead of raising forty alerts.
Six capabilities. Observe, analyse, act.
Dynatrace names the cause instead of listing symptoms — one agent, one live dependency map, and the rest of the Dynatrace portfolio.
Code to host in one view
Distributed traces, service metrics and host health from the same agent — the request, the method and the machine it ran on.
Hosts, VMs and clouds
Host and process monitoring across on-prem, AWS, Azure and GCP, at $29 a month per host when you don't need code-level depth.
Clusters, pods and workloads
Cluster, node and pod health with the workload context, priced per pod — $1.40 a month on the published card.
Every dependency, live
Smartscape updates the map as services scale and move, so the picture during an incident is the current one, not last week's diagram.
One problem, not forty alerts
Davis AI follows the dependencies from symptom to origin and groups the fallout under one problem with a named cause.
Ingest what you already emit
OTel metrics, traces and logs land in Grail beside OneAgent data — useful where a team has standardised on OpenTelemetry.
Watch Dynatrace observability in action
One request followed end to end, Kubernetes for SREs, and root cause in practice.
Product demo — front-end to back-end monitoring
One request, followed end to end.
Kubernetes observability for SREs
Clusters and workloads in one view.
Analyze incidents with Davis AI
From symptom to named cause.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Most tools show you everything. Dynatrace tells you what caused it.
Here’s what genuinely sets it apart — and exactly where it stops.
It names a cause instead of listing symptoms
Most stacks correlate alerts that fired together and leave an engineer to find the first domino. Dynatrace walks a live dependency map from symptom to origin — so the checkout errors, the queue backlog and the CPU spike arrive as one problem with one cause.
One agent is an operations decision
OneAgent discovers and instruments what runs on a host by itself. The saving is not the install — it is the per-service configuration nobody has to write, review and keep current as services come and go.
You can price it before the first call
Full-stack is $58 a month per 8 GiB host and infrastructure $29 per host, on a published card. Most observability vendors quote. Model your estate first, then check the quote against a number you built.
Where it stops
Full-stack pricing is per 8 GiB of host memory, so large-memory hosts cost more than a per-host headline suggests. And the root-cause claim is only as good as the coverage — uninstrumented hops are blind spots in the map.
The numbers behind the platform
What your observability rollout looks like
Model the bill from the rate card
Count hosts, host memory, pods and containers. Full-stack scales with 8 GiB units — the big hosts decide the total.
Instrument one real service
Pick a service that has failed before. OneAgent needs no per-service config — see what it discovers on its own.
Replay a known incident
Does root-cause analysis name the cause you already know? That one test is worth more than the feature list.
Size the commitment and roll out
Commit on what you will instrument in year one, not the full roadmap. Grow it from real consumption.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“The first incident it grouped into one problem was the one that sold it. Forty alerts became a single named cause.”
“One agent meant we stopped maintaining per-service config. That was the saving nobody had put in the business case.”
“Model the memory per host before you sign. Full-stack is per 8 GiB, and our big database hosts cost more than we assumed.”
“Powerful, and it takes time to learn DQL properly. Budget for training, not just licences.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the observability market — tap any vendor to see why it sits where it does.
TechBag Observability Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Topology-driven root cause; published prices.
Root-Cause Depth × Price Transparency
The grid nobody publishes — depth of root-cause analysis vs how transparent the price is.
The dependency map is the product.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Dynatrace vs the observability field
Against Datadog, Splunk Observability and a self-run OpenTelemetry stack — on root cause, instrumentation, price and India.
| Dimension | Dynatrace | Datadog | Splunk Observability | OpenTelemetry + open source |
|---|---|---|---|---|
| Root cause | Topology-driven | Correlation-led | Correlation-led | You build it |
| Instrumentation | One agent | Agent + integrations | OTel-based | OTel SDKs |
| Published pricing | Rate card | Published | Mostly quoted | Free software |
| Kubernetes | Per pod | Mature | Supported | DIY |
| India region | AWS Mumbai | Check the region list | Check the region list | Wherever you host |
| Learning curve | Real | Moderate | Moderate | Steep |
Which approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Dynatrace if…
- ✓Incident time is lost finding the cause, not fixing it
- ✓You want one agent instead of per-service instrumentation
- ✓You want to model the cost from a published rate card
Compare alternatives if…
- ✓Your hosts are large-memory and full-stack pricing scales with GiB
- ✓You have standardised on OpenTelemetry and want tool portability
- ✓The team needs the gentlest learning curve above all
Do not expect…
- ✓Root cause on hops the agent does not see
- ✓A Mumbai region to be a written storage commitment
- ✓DQL fluency without training time
Application & Infrastructure Observability is one of 23 observability & APM products TechBag carries. The Observability & APM guide narrows them to a shortlist and shows the reasoning. →
What does slow root cause cost you?
Drag the sliders (monitored hosts; engineer-hour cost). Estimates model the time lost correlating alerts by hand during incidents against a platform that groups them under one cause. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Published: $29/month per host for infrastructure, $58/month per 8 GiB host for full-stack, $1.40 per Kubernetes pod-month — drawn down from one annual subscription. TechBag models your estate against the rate card, then quotes in INR with GST.
Infrastructure
Best for most of the estate
- $29/month per host
- Hosts, processes and cloud services
- No code-level tracing
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
Full-stack
Best for the services that matter
- $58/month per 8 GiB host
- Code-level traces and dependencies
- What root-cause analysis needs
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
How much memory do your hosts carry? Full-stack is priced per 8 GiB, so large hosts count several times.
Which hops can OneAgent not see — mainframes, appliances, third-party APIs? Those are gaps in the dependency map.
Will the trial replay an incident whose cause you already know? That is the test of the core claim.
If you already emit OTel, how does it combine with OneAgent data — and what does that ingest cost?
How many pods run at peak? Pod pricing follows the peak, not the average.
Is the Mumbai region, plus data retention, written into the contract rather than implied?
Who will learn DQL, and is training budgeted alongside the licence?
Is year one sized on what you will instrument, with room to grow at the same rates?
Questions buyers ask
Ready to evaluate Dynatrace observability?
Model your hosts, memory and pods against the published rate card first, or let a TechBag advisor run a trial that replays a real incident.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.