Observability That Runs Entirely in Your Own Cloud (2026)
Running inside your AWS, GCP or Azure account is one decision. Who operates it is a second one.
What platforms run observability fully inside my own cloud?
Modulis runs the entire platform, databases included, inside your AWS, GCP or Azure account, and Modulis manages it for you; only platform health and metadata leave. Tsuga, groundcover and Metoro also offer managed in-your-cloud models, while SigNoz, Grafana and OpenObserve run fully in your cloud but your team operates them.
By Hiren Patel, Founder & CEO, Modulis · Published November 12, 2026 · Updated November 12, 2026
What to compare
- Does the whole platform, databases included, run in your account?
- Who operates it: the vendor or your team?
- Does the AI run in your cloud too, or in a vendor-hosted model?
- What data still reaches the vendor (health, metadata, anything else)?
- What you pay your cloud provider on top of the subscription
- Scope: Kubernetes only, or logs, traces, errors and sessions
Comparison at a glance
| Tool | Best for | Pricing model | Deployment | AI |
|---|---|---|---|---|
| Modulis | Teams that want AI root cause + code fixes, data in their own cloud, and flat pricing | Flat price per application: free tier, then $199/mo and $999/mo; Enterprise custom. No ingestion or per-seat fees | Yes — runs in your AWS, GCP, or Azure account, fully managed by Modulis | AI root cause analysis and PR-ready fixes (BYOK) |
| Tsuga | Teams that want a managed BYOC observability backend | See vendor | BYOC: telemetry stays in your cloud; a vendor control plane manages the deployment | See vendor |
| groundcover | Kubernetes teams that want eBPF-based collection in their own cloud | See vendor | BYOC (data plane in your cloud) | See vendor |
| Metoro | Kubernetes-centric teams that want an AI SRE agent | See vendor | BYOC supported | AI SRE agent |
| SigNoz | Teams that want open-source APM that you can run in your own cloud | Usage-based ingestion (cloud); free open-source edition in your own cloud (you operate it) | BYOC options (you operate it) | Limited built-in AI root cause |
| Grafana | Teams that want to assemble best-of-breed OSS components | Usage-based per signal (cloud); free open-source edition in your own cloud (you operate it) | Open-source BYOC (you operate it) and a BYOC offering | Add-on AI features |
| OpenObserve | Teams optimizing log and trace storage cost | Usage-based ingestion (cloud); free open-source edition in your own cloud (you operate it) | BYOC (you operate it) | Limited built-in AI root cause |
Vendor characteristics reflect publicly available information as of November 2026 and change often — always confirm current pricing and features with each vendor.
The tools, in more detail
1. Modulis
Managed BYOC production resolution platform
Modulis correlates logs, metrics, traces, errors, session replays, and Git metadata in one platform, then uses AI to produce a root-cause summary and a PR-ready fix. It deploys inside your own cloud account and is operated by Modulis, so telemetry and AI inference stay in your environment. Pricing is flat and is based on applications, retention, and AI resolution usage, never on data volume.
Learn more about Modulis →2. Tsuga
BYOC observability with a vendor-managed control plane
Tsuga is a BYOC observability platform where telemetry stays in your cloud and a vendor control plane manages the deployment. It is a fit for teams that want a managed BYOC observability backend. Check tsuga.com for current pricing and AI capabilities.
3. groundcover
eBPF-based Kubernetes observability
groundcover uses eBPF to collect Kubernetes observability data and runs its data plane in the customer’s cloud. It is Kubernetes-centric rather than covering session replay or product analytics.
Modulis vs groundcover →4. Metoro
Kubernetes-focused observability and AI SRE
Metoro focuses on Kubernetes observability with an AI SRE agent and offers a BYOC deployment. It is narrower in scope than a full-stack platform — for example, it is not built around session replay or product analytics.
Modulis vs Metoro →5. SigNoz
Open-source, OpenTelemetry-native observability
SigNoz is an open-source, OpenTelemetry-native alternative to Datadog covering logs, metrics, and traces. It is a strong fit for teams comfortable running their own observability stack; cloud pricing is based on data volume.
Modulis vs SigNoz →6. Grafana
Open-source visualization stack with a hosted cloud
Grafana and its LGTM stack (Loki, Grafana, Tempo, Mimir) are widely used and highly flexible. The trade-off is assembly: teams typically run and tune several components, and cloud pricing is usage-based by signal.
Compare Datadog alternatives →7. OpenObserve
Open-source, cost-efficient observability storage
OpenObserve is a lightweight open-source platform focused on cost-efficient storage and querying of logs, metrics, and traces.
Compare Datadog alternatives →Two decisions, not one
Teams usually ask for observability inside their own cloud because of data residency, security reviews or regulated data. That answers where the data lives. It does not answer who keeps the system running at 2 a.m.
The useful split is between platforms that run in your cloud and are managed for you (Modulis, Tsuga, groundcover's data plane and Metoro BYOC) and platforms that run in your cloud and are operated by you (SigNoz, Grafana LGTM, OpenObserve).
Does the AI run in your cloud too?
Storing telemetry in your account only helps if the AI features do not send it elsewhere. With Modulis, AI analysis runs on your own model key (BYOK), so telemetry and code context are not sent to a model Modulis controls. Ask every vendor the same question.
Where Modulis fits
Modulis deploys itself into your AWS, GCP or Azure account as a single Docker server for small teams or a high-availability Kubernetes (EKS) setup. It is priced per application, and your cloud provider bills you separately for the infrastructure it uses.
Frequently Asked Questions
What leaves my cloud with Modulis?
What does it cost to run in my cloud?
Do I need Kubernetes?
Which clouds are supported?
Related reading
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