
Skalenta analyzes your cloud operations, identifies avoidable cost and incident drivers, and scopes a pilot that first proves whether automation actually pays off in your environment.
Enterprise & compliance-ready
The cloud bill is only part of the problem. The bigger lever often sits in over-provisioned resources, tool sprawl and senior time stuck in recurring troubleshooting.
Resources run larger or longer than necessary. Skalenta finds consumption patterns and prioritizes where optimization actually frees up money.
Many teams pay for several tools for monitoring, incident response, runbooks and deployments. Skalenta consolidates workflows instead of adding yet another point solution.
Senior engineers lose time to routine, escalations and manual analysis. Skalenta surfaces recurring patterns and brings fix suggestions, runbooks and automation into a controlled workflow.
The system continuously analyzes signals and events, correlates anomalies and proposes precise fixes. All behind strict compliance guardrails.
Consolidating your ops stack from many point solutions into one platform. At the same time we make actual resource consumption visible.
Telemetry from predictability exposes over-provisioning, unused capacity can be cut deliberately. Illustrative example.
The software reacts to incidents in real time. By the time the engineer sits down to fix it, the solution is already there.
Skalenta requires no migrations or new agents. We tap directly into the signals and metrics of your established tools to steer and automate ops processes.
Embedded in your workflow, governed by approval gates.
With most SaaS vendors, your telemetry, logs and incident data leave the company. Skalenta runs inside your own infrastructure, no data leaves your cluster.
Incident depth on par with the established players, plus cloud cost optimization, managed delivery and one differentiator no SaaS vendor can honestly claim: private deployment with full data sovereignty.
| Capability | Obsyd | DoperDupy | Grootly | WaterHydrant | Promodoro |
|---|---|---|---|---|---|
| Incident management | |||||
| On-call & alerting | |||||
| Runbooks & automation | |||||
| Cloud cost optimization | |||||
| Kubernetes / cloud-native troubleshooting | |||||
| Managed delivery as a core part | |||||
| Private deployment / data sovereignty | |||||
| API / webhooks | |||||
| SSO / SCIM | |||||
| AI diagnosis & auto-remediation with approval gates | |||||
| Audit trail & compliance evidence (DORA/NIS-2) |
A clean DevOps stack on Azure, built once, run autonomously by KI-Ops ever since, with no dedicated DevOps role.
View caseAn animal welfare organisation fully migrated to Azure, operations have run autonomously with KI-Ops ever since, with no in-house IT.
View caseA web agency moved from manual FTP deploys to Git and automated pipelines, KI-Ops has watched over uptime, errors and critical versions ever since.
View caseReal-world experiences, B2B teams that have automated their cloud operations with skalenta.io.
As a pure dev team we didn't want to build a dedicated DevOps role. The stack was set up cleanly on Azure once, all as code, and operations have run autonomously through KI-Ops ever since. We're building features again instead of firefighting infrastructure.
We run on donations and volunteers, an IT department is unthinkable for us. Everything was moved to Azure once and has run on its own ever since. We get to focus on the animals again, KI-Ops takes care of the technology.
A deploy used to mean uploading files over FTP and hoping. Now everything's in Git, runs through pipelines, and KI-Ops flags outages and critical versions across all my client sites. I can finally see what's going on.
Built for complex, cloud-native environments where stability and cost control are decisive.
For teams with a Kubernetes/Terraform/observability stack, rising cloud costs and recurring incident load.
For teams where downtime, slow rollbacks or payment/webhook issues directly cost revenue.
For teams that have tooling but still react too manually.
For setups in FinTech, healthcare or public sector where security/compliance requirements must be clarified early.
No big-bang IT project. We check the lever in your environment before you invest.
We review setup, cost structure, incident load and possible levers in 45 minutes.
We calculate where avoidable costs arise and which business case holds up.
We start narrow: one service, one cluster or one recurring incident flow.
If the lever holds, we implement, measure and continuously optimize.
From a measurable starting point to continuous operations, three tiers, one goal: a solid, provable ROI.
We analyze your cloud operations and deliver solid, provable ROI before you commit to anything.
We set up the automation: infrastructure as code, real-time telemetry, and automated routines.
We operate and continuously optimize your cloud operations, with guaranteed response times.
Clear answers to the most important questions from engineering and platform teams.
No. Monitoring shows symptoms, Skalenta adds a layer on top: it reads the signals from your existing tools, identifies root cause and cost drivers, prioritizes and delivers approved fixes, runbooks and automation. You don't get another dashboard, you get less manual reaction.
Good, then the question isn't telemetry, it's what comes of it. Skalenta builds on exactly those tools and turns alerts into reliable automation, clearer runbooks and less manual work. We don't replace your stack, we get more outcome out of it.
No. The goal is the opposite: we take recurring routine, night shifts and troubleshooting off the team so senior time flows into product and architecture work. Skalenta is a lever for your team, not a replacement.
No, deliberately not. Only defined, approved routine cases are fixed automatically, by default with an approval gate. Everything else comes as a validated fix suggestion. Scope grows only as far as you approve.
Skalenta runs inside your own infrastructure, cloud, on-premise or hybrid. Telemetry, logs and code are processed within your cluster; there is no obligation to send data to external SaaS services. We clarify deployment boundaries, access and audit logs before rollout.
Then there's no rollout. We start with a Potential Review and baseline and prove the lever on your real environment before you invest. Without a solid business case we don't recommend implementation.
In 30 minutes we analyze your cloud-ops status and show you concrete savings potential in your environment.