Does self-hosted AppDynamics cost less? Where the AppDynamics cost comparison tips
Self-hosting removes the per-host or vCPU license and the add-on fees for security, real user monitoring, synthetics and SAP, but it replaces them with infrastructure, storage, migration work and staff who run the stack. Prometheus is Apache-2.0 with no paid edition, Jaeger is Apache-2.0, Grafana is AGPL-3.0-only, OpenTelemetry is open source, and SigNoz Community Edition is MIT outside the ee/ and cmd/enterprise/ directories, so the software line item is zero. The cost that remains is whatever you pay for compute, disks, network egress and the engineers who operate, upgrade and back up each component. Ask your AppDynamics account team for a written breakdown of the editions, agent counts and add-ons on your current invoice, so you compare like with like.
The direction of the comparison depends on three variables you can measure before any migration starts: telemetry volume, retention period and the skills already on your team. Storage grows with span and sample volume and with how long you keep data, and Prometheus local storage defaults to 15 days and is not clustered or replicated, so a longer history means remote storage or a tool such as Grafana Mimir, each with its own run cost. SigNoz stores telemetry in ClickHouse, which needs its own sizing and backup plan. If your team already runs Kubernetes and a Prometheus stack, the marginal cost is small. If it does not, staffing becomes the largest line, and the SigNoz pricing page notes that its enterprise self-hosted option leaves infrastructure, scaling, upgrades and backups with your team. Model two or three years, including a parallel run during migration.
Before you decide, confirm three things in writing: what your current contract recurs on and when it renews, how many engineers would own the self-hosted platform and for how many hours a month, and whether a fixed-scope implementation partner would cost less than building that skill in house. DeployOpen scopes such work in writing before it starts and prices it from that scope, so a quote should list the platform components, the environments, the data sources to migrate and the operational support you expect after go-live. The result is a comparison built on your own numbers rather than on list prices.
AppDynamics and self-hosted cost components side by side
This table sets each cost component of AppDynamics against the matching cost in a self-hosted SigNoz or Grafana with Prometheus stack, and marks whether it is paid once or recurs. Read it as a checklist for a quote request, since AppDynamics is priced per host or vCPU and most self-hosted costs are people and infrastructure. The main takeaway is that the self-hosted route removes the license line but moves the cost to infrastructure, storage and the team that operates it.
| Cost component | Commercial side (AppDynamics) | Self-hosted side (SigNoz or Grafana with Prometheus) | One-time or recurring |
|---|---|---|---|
| Software license or subscription | Per host or vCPU subscription, as SaaS or on premises; confirm the metric and term with Splunk or your reseller | No license fee for the open-source core; SigNoz Community Edition and Grafana OSS are free to self-host, while Prometheus has no paid enterprise edition | Recurring for AppDynamics; none for open-source core |
| Add-ons (security, RUM, synthetics, SAP) | Each add-on priced separately; ask which are included in your edition and which need extra units | Browser monitoring, synthetic checks and SAP-specific data must be built with OpenTelemetry, Grafana or other tools; confirm coverage for each need | Recurring for AppDynamics; one-time build for replacements |
| Infrastructure compute | Mostly absorbed by the vendor for SaaS; on-premises Controllers need your own servers | Collectors, query services, ClickHouse or Prometheus, Grafana and Alertmanager run on your servers or cloud accounts, sized by telemetry volume | Recurring |
| Telemetry storage | Included within the subscription terms; confirm retention limits in the contract | Disks or object storage for traces, metrics and logs; Prometheus local storage defaults to 15 days and is not clustered, so long-term storage needs a separate component | Recurring, grows with retention |
| Migration and instrumentation | Existing agents already deployed; little change needed while the contract runs | Replacing agents with OpenTelemetry instrumentation service by service, plus rebuilding health rules as alerts and dashboards | One-time |
| Implementation | Vendor onboarding and configuration, often included or billed as professional services; ask for the scope in writing | Design, installation, Helm or Docker deployment, high availability for Grafana with MySQL or PostgreSQL, and backup setup, delivered by your team or a fixed-scope partner | One-time |
| Support | Included with the subscription under the vendor support terms | Community channels for SigNoz Community Edition; SigNoz Enterprise and Grafana Enterprise are paid options, with SigNoz Enterprise starting at $4,000 a month (SigNoz pricing page) | Recurring if you buy vendor support |
| Upgrades | Handled by the vendor for SaaS; on-premises Controllers follow a maintenance schedule | Your team tests and applies Grafana releases, which ship patches at least monthly, and Prometheus minor releases every six weeks | Recurring |
| Internal skills and on-call | Smaller internal team for daily operation; vendor specialists for complex issues | Staff who run collectors, storage, dashboards and alert routing, and an on-call rota; Grafana Cloud Enterprise has a 25,000 US dollar minimum per year as a hosted reference point (Grafana pricing page) | Recurring, usually the largest line |
What moves the AppDynamics cost comparison most
The total cost of each side depends on a small set of drivers that shift between a per-host or per-vCPU commercial license and a self-hosted stack paid for in infrastructure and people. Review these drivers in the order they appear, because the same change in scope can raise one side while lowering the other.
Monitored hosts and vCPUs
AppDynamics licensing is tied to the agents and capacity you attach, so the count of monitored hosts or vCPUs is usually the first line in a renewal. On the self-hosted side, the same growth adds collector capacity, storage and compute rather than a license line. Ask your AppDynamics account team to state the unit they bill on and how it is measured, then map each unit to the servers, collectors and nodes you would run instead.
Telemetry volume and retention
Retention and ingest volume drive most of the storage bill on any hosted or self-hosted backend. As a reference point, SigNoz Cloud's Teams plan charges $0.30 per GB ingested for logs and traces with 15-day retention, and $0.10 per million samples for metrics with 1-month retention. Self-hosted, the same volume becomes disk, ClickHouse capacity and backup storage that your team sizes and pays for. Model retention per signal type before you compare totals.
Add-on modules
AppDynamics add-ons for security, real user monitoring, synthetics and SAP are typically priced as separate lines on top of the core APM subscription. Each add-on you turn on raises the commercial total, while a self-hosted stack covers some of these needs through separate open-source components that each need their own setup and upkeep. Inventory which add-ons are in use today, and mark which ones have a working open-source equivalent in your environment.
Availability and high availability design
A self-hosted stack costs more when it must stay up during failures. Grafana's high availability pattern uses two or more active-active servers behind a load balancer sharing a MySQL or PostgreSQL database, and the Grafana docs note that SQLite does not scale for production. Prometheus local storage is not clustered or replicated, so resilience usually adds a remote storage layer and a second instance. Ask for the availability target in writing before pricing, since each added node and database replica is recurring infrastructure.
Skills already on the team
Self-hosted cost depends heavily on who operates the stack. A team that already runs Kubernetes, ClickHouse or Prometheus carries less onboarding and on-call load than one starting from zero, and that difference is paid in salary time rather than license fees. Count the hours your staff can spend on upgrades, backups and alert tuning each month, and compare that figure with a retainer or a fixed-scope implementation quote from DeployOpen, which covers only the agreed scope.
How storage and retention change the self-hosted bill
Storage and retention decide most of the self-hosted bill, so size them from your own telemetry before you size anything else. Prometheus keeps metrics in a local time series database with a default retention of 15 days, configurable by time or size. Its storage is not clustered or replicated and should be operated like any other single-node database. If you need longer history, you must add remote write to an external long-term store such as Grafana Mimir, which is AGPL-3.0-only, and that store becomes a separate system your team patches, scales and backs up.
SigNoz takes a different path. Its OpenTelemetry Collector receives traces, metrics and logs and writes them to ClickHouse, so the storage bill is a ClickHouse cluster sized for ingest rate and retention period. Retention is set per signal in the product, and the Community Edition does not include a managed tier that absorbs that work for you. Ask your engineers to confirm which retention settings apply to each signal, how ClickHouse disks grow under your sample rate, and who restores the cluster after a failed node.
Retention period and sample volume multiply. Disk need grows roughly with the number of active series or spans per second times the days kept, and compute grows with query load and ingest rate. Run a two-week sample of your own traffic through the Collector, measure bytes per day for each signal, and project that figure across the retention you require for audit or incident review. Treat any generic size you find online as illustrative only. Your cardinality, span attributes and log verbosity will set the result, and those are the numbers a quote from a self-hosting partner should be built on.
How to build the AppDynamics versus self-hosted model with your numbers
This sequence turns your AppDynamics contract, telemetry volumes and staffing into a multi-year cost comparison against a self-hosted SigNoz or Grafana stack, using only figures you can source yourself.
Export current AppDynamics licensing terms
Pull the signed order form, renewal quote and any amendments from procurement, and record the licensing unit (per host, per CPU or per vCPU), the committed quantity, the term length, the annual fee and the renewal date. Confirm with your AppDynamics account team what the unit means for containers, burst capacity and on-premises versus SaaS deployments, since those definitions change the count. Done when a single sheet lists each contract line with its source document and date.
Count hosts and vCPUs from the contract
Reconcile the licensed quantity against what your agents report today, pulling host and vCPU counts from the AppDynamics controller and from your cloud or hypervisor inventory. Note where the licensed count and the running count differ, and why. Done when you have one agreed count per environment with the method written beside it, so the cost model uses the number you are actually billed for.
List every add-on in use
Identify which add-ons are on the order form and which are used in practice, covering security, real user monitoring, synthetic monitoring and SAP-related modules. Ask the vendor to confirm whether each is a separate line item or bundled, and whether unused entitlements can be removed at renewal. Done when each add-on has an owner, a yes or no for active use, and its annual cost line taken from your contract.
Measure telemetry volume and retention needs
Measure current span, metric and log volumes from your existing tooling over a representative period, and record the retention your auditors, incident reviews and capacity planning actually require. Separate traces, metrics and logs, because the self-hosted cost drivers differ by signal. SigNoz stores logs and traces in ClickHouse, and Prometheus keeps local data with a default retention of 15 days, so retention decisions directly change storage size. Done when you have daily volume estimates per signal and a written retention requirement for each.
Price compute and storage at your own rates
Obtain compute, block storage, object storage and network prices from your cloud provider's agreement, or from your data center's internal chargeback rates, and apply them to the sizing your volume and retention figures imply. Include the high-availability copies you intend to run, since a single-node Prometheus is not clustered or replicated by design. Done when you have a line for each infrastructure component with the rate source named, and a note on which costs recur monthly and which are one-time.
Estimate migration effort for instrumentation and dashboards
Count the services that need OpenTelemetry instrumentation or agent replacement, the health rules that must become alerts, and the dashboards and business transaction views that need rebuilding. Ask your own engineers and any implementation partner to estimate hours per item in a written scope, and record the assumptions, such as which teams do the work and whether parallel running is needed. Done when the migration effort is a list of countable work items with hour estimates from named sources, not a single guessed total.
Assign named staff to operate the stack
Name the people who will run the self-hosted stack, and estimate their share of time for upgrades, backups, scaling, on-call response and alert tuning. Grafana's upgrade guidance calls for regular minor and patch releases, and SigNoz Enterprise self-hosting places infrastructure, scaling, upgrades and backups on the customer's team, so budget for that work explicitly. Done when each role has a named owner, an allocation percentage agreed with their manager, and a salary cost drawn from your payroll data.
Compare annual totals across a multi-year window
Build one table that lists AppDynamics fees, add-ons, the current stack's costs and, for the self-hosted model, one-time migration effort, recurring infrastructure, staffing and support contracts, year by year over the window your leadership uses. Run a second scenario with the telemetry growth rate you expect and a third with the retention reduced, then confirm each input with its owner. Done when the totals reconcile to the source lines and you can show which assumption moves the result most. Use these figures in your quote requests so vendors and partners price the same written scope.
Which self-hosted model carries the lowest operating burden
With the Community Edition, your team installs and runs the whole platform. The SigNoz documentation covers Docker Standalone, Docker Swarm and Kubernetes with Helm, and the architecture has three parts you will operate: the SigNoz OpenTelemetry Collector that receives telemetry and writes it to ClickHouse, the API server that serves the React frontend and query APIs, and Alertmanager for deduplication, grouping and notification. ClickHouse is usually the component that needs the most capacity planning and backup design.
- Your team runs ClickHouse: storage sizing, replication, backups, upgrades and query tuning sit with your engineers.
- Support is community only: the pricing page lists community Slack as the support channel for the free edition.
- No SAML on Community: SAML is limited to the Teams and Enterprise plans, while SSO is listed on every plan.
- No SOC 2 or HIPAA on Community: the pricing page says these compliance attestations are not included, so your own controls and evidence must cover them.
- No anomaly detection or prebuilt integrations: plan to build those alerts and dashboards yourself.
Before committing, confirm current install options and upgrade paths in the SigNoz self-host documentation and in your own environment.
A composable stack spreads the work across several projects. Prometheus scrapes metrics or receives OTLP metrics, Grafana provides dashboards and alerting, and Jaeger or another OpenTelemetry trace backend stores traces. Each component is simple alone, but your team owns the integration, the upgrade sequence and the long-term storage decisions. Prometheus local storage is single node, is not clustered or replicated, and defaults to 15 days of retention, so high availability and longer history need remote write to an external store.
- Prometheus on a single node: plan for replication or remote write to Mimir or another long-term store if you need history beyond local retention.
- Grafana state in a database: SQLite is for small deployments only, so production and high availability need MySQL or PostgreSQL.
- Grafana high availability: two or more active-active servers behind a load balancer, with alerting configured to avoid duplicate notifications.
- SAML is an Enterprise feature: SAML, team sync and SCIM are limited to Grafana Enterprise and Grafana Cloud, so open-edition SSO uses the other supported providers.
- Alertmanager cluster: Prometheus should point at every Alertmanager instance, not a load balancer.
Confirm the licensing position of Grafana and Mimir (AGPL-3.0-only) with your legal team before you distribute or modify them.
SigNoz Enterprise starts at $4,000 a month according to the SigNoz pricing page and comes in three delivery models: SigNoz Cloud Dedicated, BYOC managed by SigNoz in your cloud account, and self-hosted with enterprise support. Only the self-hosted option keeps operations with your team. In that model, the pricing page states your team runs infrastructure, storage, scaling, upgrades and backups, while enterprise support covers the software. The BYOC and Dedicated models move much of the operating work to SigNoz, although data placement and account control differ between them.
- Self-hosted Enterprise: your team keeps the same ClickHouse, API server and Alertmanager duties as Community, plus the enterprise support contract.
- BYOC: SigNoz operates the platform inside your cloud account, so you carry the account and network decisions.
- Dedicated cloud: SigNoz operates the environment, and you carry data residency and contract terms.
- SAML and enterprise compliance: SAML is available on the Enterprise plan, and the pricing page lists SOC 2 and HIPAA separately from Community.
- Quote scope: ask which upgrades, backups, on-call coverage and recovery time commitments are in the written scope.
Ask SigNoz to confirm each responsibility in writing, because the split between vendor and customer operations is the main factor in your operating burden.
AppDynamics cost and self-hosting questions buyers ask
How much does self-hosting SigNoz or Grafana cost compared with AppDynamics?
No single figure applies, because the answer depends on the drivers you control: AppDynamics fees scale with the hosts or vCPUs you license and any add-ons, while a self-hosted stack costs infrastructure, storage, the migration project and the people who run it. The open-source licenses themselves carry no fee. SigNoz Community Edition is MIT licensed outside its enterprise directories, and Prometheus is Apache-2.0 with no paid edition. Ask AppDynamics or Splunk for the rate card that applies to your agent count, and build a bill of materials for compute, ClickHouse or Prometheus storage, backups and on-call time. Compare both over the same retention period and telemetry volume.
How long does a migration from AppDynamics to OpenTelemetry take?
The timeline depends mostly on how many services you instrument, how many health rules and dashboards you rebuild, and whether you run both backends in parallel. Business transaction views usually need a new design rather than a direct copy, which adds effort. Because AppDynamics migration work is service by service, a team can often start with a small set of critical applications and expand. Ask for a timeline in the written scope, built from a service inventory, an agreed cutover order and a parallel-run period that your operations team signs off on.
Can our internal team run a self-hosted SigNoz or Grafana stack alone?
A capable platform team can, but it needs skills in Kubernetes or Docker, persistent storage, backups, upgrades and alert routing. SigNoz runs its collector, API server, frontend, Alertmanager and ClickHouse, so storage tuning and cluster operations matter. Grafana in production needs MySQL or PostgreSQL and at least two active-active servers behind a load balancer for high availability, and Prometheus local storage is not clustered or replicated. Map these components against your staff before deciding. Many teams split the work: internal staff own daily operations and an implementation partner handles design, hardening and upgrades.
Is SigNoz or Grafana cheaper to run yourself?
Neither is cheaper in general, because the cost depends on your telemetry shape and team skills. SigNoz stores logs, metrics and traces in ClickHouse, so its storage and query tuning drive cost. A Grafana stack splits the work across Prometheus for metrics, Grafana for dashboards, and a trace backend such as Jaeger, and often Loki for logs, each with its own storage and operations. A composable stack can be more flexible but has more components to run. Build the same test workload on both and measure resource use, retention and on-call hours before choosing.
Do open SigNoz and Grafana editions support SSO and SAML?
Single sign-on is available more widely than SAML. SigNoz lists SSO on every plan, including Community Edition, but SAML is available only on its Teams and Enterprise plans. Grafana's authentication docs say all editions support LDAP, generic OAuth, Entra ID, Okta, GitHub, GitLab and Google OAuth, auth proxy and JWT, while SAML, team sync, active sync and SCIM provisioning are limited to Grafana Enterprise and Grafana Cloud. If your policy requires SAML on open editions, confirm this gap early and decide between a commercial license, an identity proxy using OAuth or a different approach.
What does a fixed-scope DeployOpen implementation include?
A fixed-scope engagement covers the work agreed in writing before it starts, such as designing the target architecture, instrumenting services with OpenTelemetry, deploying the chosen stack in your cloud account or data center, rebuilding alerts and dashboards, hardening the installation and documenting it. Deliverables and timelines are set in the scope, and the quote follows from that scope. Ongoing support, upgrades and continuous testing are available as retainers. DeployOpen prepares systems and evidence for compliance assessments but does not issue audit reports or certifications.
What should we ask for in a quote for this migration?
Ask for a written scope that names the services in and out of migration, the telemetry types, the dashboards and alerts to rebuild, and the environments to deploy into. Request the assumptions behind hosting, storage retention and sizing, and who operates the stack after handover. Ask what is one-time, such as design, instrumentation and cutover, and what recurs, such as infrastructure, upgrades, licenses for commercial add-ons and support. Confirm how parallel running is handled and what evidence you receive at the end.
What the migration effort adds to the first-year total
The migration effort adds a first-year cost that a steady-state comparison misses, and most of it comes from running two backends at once. Because AppDynamics agents and OpenTelemetry instrumentation can coexist, a team can send the same traces, metrics and logs to AppDynamics and to a self-hosted SigNoz or Grafana stack in parallel. That parallel period means you pay for the AppDynamics licence and the new infrastructure at the same time, so ask your AppDynamics account team how the subscription or Controller term can be shortened or adjusted once services are cut over, and budget the self-hosted storage, ClickHouse or Prometheus capacity, and compute for the overlap window.
Some AppDynamics concepts do not transfer one to one, and rebuilding them is labour that a licence comparison does not show. Business transaction views, baselines and health rules must be recreated as alerts, dashboards and service-level views in SigNoz or Grafana, and the people who own those definitions need time to review them against real incident history. Confirm which alerting rules your on-call teams depend on, and whether you will use Alertmanager with Grafana or the SigNoz alerting features, before estimating the effort. Agent replacement is also service by service, so the cost scales with the number of applications and the engineers who instrument them.
The migration pages cover the sequence of cutover, and the sibling comparisons cover feature coverage, so use them to fix the scope before you price the work. Whichever route you choose, write down who is paid for each item: your staff for instrumentation and rule rebuilding, a partner for scoped implementation if you use one, and your own team for the ongoing operation after cutover. Ask any quote to separate one-time migration work from recurring operation, and to state which items assume parallel running and for how long.
How DeployOpen scopes a fixed-price AppDynamics replacement
DeployOpen is a Chainscore Labs company that plans, implements, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure. For AppDynamics cost vs self-hosted SigNoz and Grafana, we start from a written scope that compares your current AppDynamics spend by component with the operating cost of the open-source stack you choose.
How we scope
- Inventory every AppDynamics component in use, including agents, edition, add-ons and any Controller hosting, before comparing costs.
- Define which applications, environments and business transactions move first, and which stay on AppDynamics during a parallel run.
- Agree deliverables, exclusions and timelines in writing, with ongoing support offered as a separate retainer after handover.
How we build
- Deploy SigNoz or Grafana with Prometheus and a trace backend in your cloud account, data center or air-gapped network.
- Configure OpenTelemetry Collector pipelines to send the same telemetry to AppDynamics and the new backend during the transition.
- Test storage sizing, retention, alert routing and access controls, and record which AppDynamics health rules map to new alerts.
How we hand over
- Document architecture, runbooks, dashboards, alert definitions and the cost model used to compare the two options.
- Provide as-code configuration for data sources, dashboards and alerts so your team can review changes in version control.
- Train the staff who will operate the platform on upgrades, backups, scaling and on-call responses to alerts.
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer scoped separately from the migration.
- Plan upgrade windows around the current release cadence of each component you run, confirmed against vendor documentation.
- Ask your auditors and certification bodies to assess evidence we prepare; DeployOpen does not issue audit reports or certifications.
