A single source of operational truth
Infrastructure telemetry from Argus or your existing tools, application metrics, deployments and business events land in one analytical store, modelled so the same question always gets the same answer.
Data-Driven Operations
Enable smarter decisions with actionable analytics, infrastructure visualization and predictive monitoring, built on data platforms that answer questions in seconds.
What changes
- TodayDashboards nobody trustsWith LinuxoftOne source of truth for operational metrics
- TodayCapacity surprises at month endWith LinuxoftForecasts that flag limits weeks ahead
- TodayReports assembled by hand every MondayWith LinuxoftLive, self-serve analytics and AI reports
- TodayReacting to incidentsWith LinuxoftSpotting anomalies before they become incidents
Who it's for
Organisations usually come to us for this in one of these situations.
Operations and platform teams
Teams responsible for uptime and capacity who still piece together answers from several tools.
Leaders who want live numbers
Executives and managers who wait days for reports that are out of date when they arrive.
Fast-growing digital businesses
Companies whose data volumes have outgrown spreadsheets and the reporting built on the production database.
From raw telemetry to decisions
We connect infrastructure, application and business data into fast analytical platforms, then build the views and forecasts that operations and leadership actually use.
- Real-time pipelines into ClickHouse and other OLAP engines
- Operational dashboards and KPIs
- Capacity and cost forecasting
- AI-generated reports in plain language
What data-driven operations looks like
Unified telemetry
Metrics, logs and events in one queryable store.
Infrastructure maps
Visual topology of services, databases and dependencies.
Predictive alerts
Trend-based alerts for capacity, latency and errors.
Cost analytics
Spend broken down by team, service and environment.
Self-serve insight
Teams answer their own questions without waiting on reports.
AI reports
Natural-language summaries of what changed and why.
How we get there
Inventory
What data exists, where it lives and who uses it.
Pipeline
Reliable ingestion into a fast analytical store.
Model
Shape data around the questions people ask.
Visualize & predict
Dashboards, forecasts and alerts that drive action.
Common situations we solve
Real problems we are asked to fix, what we do about them and the result to expect.
The situation
Capacity runs out without warning
We forecast CPU, storage, connections and cost from historical trends and alert weeks before limits are reached.
Capacity planned, not panicked
The situation
Every incident starts with "which dashboard?"
We bring metrics, logs, events and deployments into one store and build service-level views that show impact first.
One place to start every investigation
The situation
Monday reports take a day to build
We automate the pipelines and replace manual reports with live dashboards and AI-written weekly summaries.
Reports that build themselves
The situation
Anomalies are spotted too late
Trend-based and seasonal anomaly detection flags unusual latency, errors and spend before thresholds are breached.
Earlier warnings, smaller incidents
How we deliver Data-Driven Operations
Built on fast analytical engines
ClickHouse and similar OLAP engines answer questions over billions of rows in under a second, so dashboards stay interactive as data grows.
From visibility to prediction
Once the data is reliable, we add forecasting for capacity and cost and anomaly detection for performance and errors, tuned to your seasonal patterns.
Insight everyone can use
Role-based dashboards for engineers, managers and executives, plus plain-language AI summaries that explain what changed and why it matters.
What you get
Decisions in real time
Live, trusted numbers instead of week-old spreadsheets.
Fewer surprises
Forecasts and anomaly alerts flag issues weeks earlier.
Less manual reporting
Automated pipelines and AI summaries replace hand-built reports.
Frequently asked questions
Do we need a data warehouse first?
Not necessarily. We often start with a focused analytical store for operational data and grow from there.
Can this use our existing monitoring data?
Yes. We integrate with your current tools, and Argus can supply infrastructure telemetry where needed.
Which data sources can you connect?
Cloud provider metrics and billing, Argus and other monitoring tools, application logs and traces, databases, ticketing systems and business applications through APIs or change data capture.
Which dashboard tools do you use?
Grafana, Metabase, Superset, Power BI and Looker Studio among others. We build on what your teams already know where possible.
How accurate are the forecasts?
Accuracy is measured against actuals and shared openly. Forecasts are tuned over the first few weeks and improve as more history accumulates.
Who owns the data platform afterwards?
You do. Everything runs in your cloud accounts, defined in code and documented, with optional ongoing support from us.
More Strategic Engineering
Talk to us about Data-Driven Operations.
Request a scoped cloud assessment, or start with a free DevOps and SRE consultation. Talk to us about services, AI solutions or enterprise development.