Application Performance Monitoring
Fast & Cost-Effective APM with AI-based sampling. Runs On-Prem with no traces data sent out of your cloud.
Easy log management with fast search & data privacy at the core. No log data leaves your cloud. Ever.
Track hosts, databases, containers, and cloud services in real time — with unlimited retention and full data control.
Track every user journey in real time. Get instant visibility into performance bottlenecks with 4X faster, on-prem RUM.
Prevent downtime before it happens with proactive, scripted tests. Simulate user journeys and detect issues before customers are impacted.
Catch every error in real time. Aggregate, analyze, and resolve issues 4× faster with CubeAPM.
Track Kubernetes clusters, nodes, and pods with real-time performance insights
Application Performance Monitoring
Fast & Cost-Effective APM with AI-based sampling. Runs On-Prem with no traces data sent out of your cloud.
Easy log management with fast search & data privacy at the core. No log data leaves your cloud. Ever.
Track hosts, databases, containers, and cloud services in real time — with unlimited retention and full data control.
Track every user journey in real time. Get instant visibility into performance bottlenecks with 4X faster, on-prem RUM.
Prevent downtime before it happens with proactive, scripted tests. Simulate user journeys and detect issues before customers are impacted.
Catch every error in real time. Aggregate, analyze, and resolve issues 4× faster with CubeAPM.
Track Kubernetes clusters, nodes, and pods with real-time performance insights
Splunk AppDynamics Pricing Calculator
Splunk AppDynamics Pricing Calculator
Enter your infrastructure size to see your estimated monthly cost across all three AppDynamics editions - and how CubeAPM's flat-rate on-prem pricing compares.
AppDynamics cost breakdown - all editions
Unlimited users · Unlimited retention · No per-vCPU fee
| Component | Infrastructure $6/vCPU |
Premium $33/vCPU |
Enterprise $50/vCPU |
CubeAPM $0.15/GB |
|---|---|---|---|---|
Infrastructure Monitoring Host metrics, containers, cluster agent | ✓ Included | ✓ Included | ✓ Included | ✓ Included |
Application Performance Monitoring Distributed traces, call graphs, Java/.NET/Node/PHP/Go | - Not included | ✓ Included | ✓ Included | ✓ Included |
Database Monitoring Query-level, MySQL, PostgreSQL, Oracle, MongoDB | - Not included | ✓ Included | ✓ Included | ✓ Included |
Log Observability Log ingestion, correlation with APM context | ✓ Included | ✓ Included | ✓ Included | ✓ Included |
Transaction Analytics Events Service, ADQL, Business iQ (Enterprise: 400k events/day) | - Not included | ◈ Limited | ✓ Full | - Not included |
| Base Plan Cost | ||||
Base Plan Subtotal vCPUs × rate | $0 | $5,544 | $0 | $1,000 |
| Add-On Modules | ||||
Real User Monitoring Browser & mobile · Disabled | - | - | - | ✓ Included |
Browser Synthetics Disabled | - | - | - | ✓ Included |
| Monthly Total | $0 | $5,544 | $0 | $1,000 |
What’s included with CubeAPM
| Dimension | AppDynamics | CubeAPM |
|---|---|---|
| Pricing model | Per vCPU/month - every core on every host | Flat $0.15/GB - one rate, all signals |
| Real User Monitoring | Add-on: $0.06 per 1,000 tokens | Included in flat rate |
| Browser Synthetics | Add-on: $12/location/month | Included in flat rate |
| Data retention | 8 days default; 30/60/90-day add-ons | Unlimited - no extra charge |
| Deployment | SaaS (Splunk-hosted) or on-prem | On-prem inside your own cloud account |
• Infrastructure Edition: $6.00/vCPU/month
• Premium Edition: $33.00/vCPU/month
• Enterprise Edition: $50.00/vCPU/month
• Real User Monitoring: $0.06 per 1,000 tokens/month
• Browser Synthetics: $12.00/test location/month
• Source: splunk.com/pricing
CubeAPM estimate: ~100 GB/host/month · $0.15/GB · $1,000/month minimum
• Source: cubeapm.com/pricing
How to Use This Calculator More Accurately
Count actual monitored vCPUs, not total provisioned capacity
Total provisioned vCPUs across your cloud account will be higher than the vCPUs under active AppDynamics monitoring. Use the number of CPU cores on hosts where you have deployed or plan to deploy the AppDynamics Machine Agent or App Server Agent, not your full infrastructure inventory.
Separate production from non-production environments
Enter production vCPU counts and non-production counts separately if you plan to monitor both. Using a lower edition for dev and staging while applying Premium or Enterprise only to production is a common cost control pattern and changes the calculator output meaningfully.
Estimate likely add-ons before approval cycles
Add-ons are easier to negotiate as part of an initial contract than as mid-cycle additions. Identify which modules, Secure Application, RUM, Synthetics, SAP, Log Analytics, are likely to be needed within the next 12 months and include them in the calculator now so the estimate reflects the realistic total cost rather than just the base edition rate.
Model growth over 12 months, not just current deployment
AppDynamics contracts are annual. If your team is growing infrastructure, expanding to new services, or planning a Kubernetes migration within the contract period, model the expected vCPU count at the 12-month mark rather than today’s footprint. The calculator supports this by adjusting the vCPU input to your projected endpoint.
Validate contract-specific pricing with a vendor quote if needed
Published list prices are a reliable baseline for budget planning. For commitments above a few hundred vCPUs, actual contract pricing will likely involve volume discounts and private offer rates that are not publicly available. Use this calculator to establish the budget range and anchor your sales conversation, then confirm the final number through the vendor quote process.
What Makes AppDynamics Pricing Hard to Estimate
Multiple editions use different value boundaries
Choosing Infrastructure, Premium, or Enterprise is not only a price decision. It defines which capabilities the team gets. If a team starts on Infrastructure and later needs APM, it may need to upgrade the whole contract rather than only the services that require deeper instrumentation.
vCPU-based pricing does not capture monitoring scope
Two teams with the same vCPU count can have very different AppDynamics bills. Costs can change based on how many CPUs run instrumented apps, databases, network paths, RUM sessions, or analytics workloads. The vCPU rate is only the starting point.
Optional add-ons can materially increase cost
AppDynamics pricing may include separate entitlements for infrastructure monitoring, Peak RUM, Premium Edition, and Infrastructure Monitoring per vCPU. The final contract is often a mix of editions and add-ons, not one simple vCPU line item.
Business transaction and analytics limits are easy to miss
The AWS Marketplace listing references business transaction analytics usage limits and data maximums. High-volume teams may need higher entitlements or added capacity, especially when analytics events grow after production rollout.
Biggest AppDynamics Cost Drivers
Monitored vCPU volume
vCPU count is the primary billing unit for AppDynamics. Every CPU core on every monitored host contributes to the base license cost. Infrastructure growth, including more hosts, larger instance types, and additional Kubernetes nodes, directly raises the AppDynamics bill at the full edition rate. Rightsizing instances or decommissioning unused hosts reduces cost proportionally.
Edition selection
The jump from Infrastructure Edition ($6) to Premium Edition ($33) is a 5.5x increase per vCPU. The jump from Premium to Enterprise ($50) is an additional 51% increase. Because editions apply to the entire monitored fleet, this is one of the highest-leverage pricing decisions a team makes. Paying Enterprise rates for workloads that only need core APM or infrastructure metrics represents significant avoidable cost.
Infrastructure monitoring add-ons
Infrastructure monitoring entitlements can appear as a separate line item in AppDynamics enterprise contracts, distinct from the base edition rate. Teams should confirm what infrastructure monitoring coverage is included in their edition before assuming all host-level metrics are bundled.
Real user monitoring volume
RUM is billed per 1,000 tokens and scales with user traffic rather than infrastructure capacity. A product launch, a marketing campaign, or geographic expansion can drive RUM costs up sharply without any change to the infrastructure footprint. Teams should model RUM separately from the base vCPU estimate and plan for traffic growth scenarios.
Business transaction and analytics usage
Transaction analytics event limits and data maximums are referenced in AppDynamics licensing. High-volume transactional environments, including e-commerce checkouts, payment processing, and logistics dispatch systems, can generate analytics event volumes that exceed base entitlements and require additional capacity. This cost variable does not appear in the per-vCPU headline rate.
Database and network visibility requirements
Database monitoring is included in Premium and Enterprise editions, but the scope of what is monitored determines how broadly the licensing cost applies. Network Insights via ThousandEyes integration adds a separate visibility layer. Teams that need to monitor a large number of database hosts or require deep network path analysis should scope these requirements explicitly before finalizing an edition.
Log analytics and synthetic monitoring add-ons
Pro Log Analytics and Browser Synthetics are separate add-on layers. Synthetics at $12/test location/month is relatively contained at small scale but grows with the number of monitored endpoints and test frequencies. Log analytics adds another independent cost dimension if enabled at scale.
Environment sprawl across dev, staging, and production
AppDynamics licenses apply to every monitored environment, not just production. Teams that monitor dev, QA, and staging at the same depth as production effectively multiply their monitored vCPU count by the number of environments. Limiting higher-tier monitoring to production and using Infrastructure Edition or no monitoring in lower environments is one of the most direct cost reduction levers available.
How Teams Reduce AppDynamics Costs
Choose the right edition instead of defaulting to Enterprise
Enterprise Edition is designed for organizations that need business analytics, SAP monitoring, and advanced ML features. Teams that primarily need APM and infrastructure visibility are typically well served by Premium Edition at a 34% lower per-vCPU rate. Auditing actual feature usage before renewal and matching edition to real monitoring needs, rather than aspirational capabilities, is the first cost-control step.
Try this in the calculator: Switch from Enterprise to Premium Edition and observe the annual impact across your vCPU count.
Limit monitored vCPU footprint
Reducing the number of vCPUs under active monitoring is the most direct way to reduce an AppDynamics bill. Focus Premium and Enterprise licensing on production workloads where APM provides the most operational value. Treat monitored compute as a primary budgeting input, not an afterthought.
Try this in the calculator: Reduce your vCPU count by 15-20% to model a production-focused monitoring scope versus full-environment coverage.
Be selective with add-on modules
Review whether every enabled add-on is actively used and providing measurable value. Infrastructure monitoring entitlements, Peak RUM, Pro Log Analytics, and Browser Synthetics each carry independent costs. Disabling or deferring add-ons that do not support immediate use cases reduces the effective per-vCPU cost, and modeling add-ons separately from the base estimate makes their budget impact visible.
Control real user monitoring volume
RUM costs grow with user traffic, not infrastructure. Limiting RUM instrumentation to customer-facing web properties and mobile apps, and avoiding instrumentation of internal tools and admin interfaces, reduces token volume without losing visibility on the surfaces that matter most to user experience.
Try this in the calculator: Reduce your monthly RUM token estimate to model the cost impact of scoping front-end monitoring to high-value surfaces only.
Manage business transaction and analytics usage
Monitor transaction event volume regularly and reduce unnecessary analytics collection where detailed event-level analysis is not operationally essential. Keeping high-volume event use cases visible in cost forecasts prevents analytics overages from appearing as surprise line items at renewal.
Forecast growth before expanding microservices coverage
Model future Kubernetes, Docker, and microservices expansion before rolling out AppDynamics instrumentation to new services. In fast-growing environments, the number of monitored vCPUs can increase substantially within a contract year. Using the calculator to estimate the cost at 6- and 12-month growth projections helps teams avoid mid-contract budget surprises.
Splunk AppDynamics vs CubeAPM: A Structural Difference
| Area | Splunk AppDynamics | CubeAPM |
|---|---|---|
| Pricing model | vCPU + edition tier + add-ons | Ingestion-based only (no host, user, or series fees) |
| Cost predictability | Scales with compute capacity | Highly predictable, with telemetry volume |
| APM availability | Edition-gated (Premium and above) | Included in the rate ($0.15/GB) |
| Add-on billing | Each module priced separately per core | No separate module fees |
| Data residency | SaaS or customer-managed on-premises | On-prem / customer-controlled |
| Sampling flexibility | Agent-controlled | High (configurable, OTel-native) |
| Support | Paid tiers for enterprise SLAs | Free |
Who Should Use This AppDynamics Pricing Calculator?
- Teams building an observability budget before entering an AppDynamics sales conversation
- Engineering leaders estimating the cost impact of scaling services, adding Kubernetes nodes, or enabling additional monitoring modules
- Finance and platform teams forecasting annual observability spend across production and non-production environments
- Buyers comparing AppDynamics against Datadog, New Relic, Dynatrace, or ingestion-based alternatives
- Teams evaluating whether their current AppDynamics edition and add-on scope still matches their architecture and cost tolerance