AI-first data reliability platform

Monitor your data layer. Know what changed.

Logstag is an AI-first data reliability platform that keeps your databases healthy, secure and fast. It learns what normal looks like for each one and tells you what changed and what to do, before it turns into an incident.

References

Coverage

SQL and NoSQL. One agent. One place to look.

PostgreSQL
SQL Server
Oracle
MongoDB
Redis
Valkey
ClickHouse

Cloud or on-premises, it doesn't matter. Logstag supports both.

Overview

Your whole data layer, on one screen.

Every database you monitor in one view: what you run, what is open and how the week went.

The Logstag app on its dashboard: the navigation on the left, search and time range at the top, instance, database, connection and alert counts, and charts of alerts and CPU, memory and disk use over the past week.
  • What you run, what is open

    Instances, databases, connections and open alerts, counted the same way everywhere.

  • Alerts, fired and closed

    Alerts raised and resolved each day across all databases. A widening gap means work is piling up.

  • Headroom at a glance

    CPU, memory and disk use across your instances over the same week.

Alerts

Alerts that say what to do next.

Logstag ships with more than 200 alert checks. Each one explains the impact and the remediation. Alerts are grouped by type, so the same problem on many databases is one line.

The Alerts page in the Logstag app: active and critical alerts, average resolution time, alerts fired, and the alerts history of the past week.
Open alerts in the Logstag app, grouped by check and sorted by severity: each line counts the alerts of one kind, with the database it fires on and its SLA status.
One alert in the Logstag app: blocking queries on a PostgreSQL database, with its occurrences and a description of what is happening.
  • Repeats merge. The same condition on the same object is one alert, not a new one every poll.
  • Resolve on their own. When the problem goes away, so does the alert. Your team only sees what still needs them.
  • SLAs you define. Set a time limit for the alerts that matter and see which ones breach it.
  • Mute with a scope. Silence what you've accepted, including future alerts of the same shape.
  • Silence is an alert too. If a monitored server stops sending data for a day, Logstag raises an alert instead of showing an empty, healthy-looking chart.
Insights

Know before it breaks.

Logstag proactively catches the silent drifts that thresholds miss, and tells you what changed and what to do about it.

The Insights page in the Logstag app: an active workload anomaly above an open query regression finding, where mean latency rose from 1.3 s to 1.8 s against its own baseline, with two recommended steps.
  • Unusual workload, spotted early

    Logstag knows how each database's workload normally looks and flags unusual activity before it turns into an outage.

  • Slowdowns caught while small

    Every query is measured against its own history, so a regression shows up before your users feel it.

  • Data access patterns

    Logstag watches how your applications read data and flags wasteful patterns before they turn into load.

Data Inventory

Know where sensitive data lives.

Logstag classifies your data schema to show where your risks live: which tables hold sensitive data, which are unencrypted and which are open to too many roles. It never reads a row.

The Data Inventory in the Logstag app: tables flagged for personal, credential, payment, financial and HR data, each with its encryption status, access level and risk.
  • Full data catalog

    Every column classified and every sensitive table listed, in one inventory across your databases.

  • Smart risk assessments

    Each sensitive table gets a risk level, so you know which ones to fix first.

  • Out-of-the-box compliance reports

    A ready-made Data Inventory report for audits and security reviews, with nothing to set up.

Reports

Reports you can hand over.

Turn what Logstag sees into PDFs your CTO, your security lead and your auditors can read without logging in: one score per instance, your security posture, and where sensitive data lives.

First page of a Logstag Per-Instance Scorecard for a PostgreSQL instance over one month: overall health, the five scored dimensions and resource utilization.
First page of a Logstag Security Report for all instances: seven active instances assessed, one on an end-of-life version, six with critical or high CVEs, the actions at the top of the list, and known vulnerabilities and findings by severity.
First page of a Logstag Data Inventory report for one instance: tables with personal data, high-risk and unencrypted tables, classification coverage, and sensitive tables by category.
Monitoring

Every database, down to the query.

When you need the detail, it is one click away: each database and its health, its schema and what changed, live activity and locks, and the queries that cost the most.

The Databases page in the Logstag app: every monitored database with its instance, engine, status, CPU and memory use, and open alerts by severity.
One schema in the Logstag app: how many objects were added, modified and removed, and the change history with when each change was detected.
Activity for one PostgreSQL database in the Logstag app: wait events, locks and blocked processes, the wait events of the past week by type, and the sessions waiting now.
One query in the Logstag app: its calls, mean execution time, rows and cache hit rate over the past week, with the full query text.
FAQ

Questions buyers ask first.

All questions or ask us directly.

What does Logstag collect?
Operational metadata and statistics: sessions and waits, query statistics, schema and permission metadata, configuration and capacity signals. Never table rows, documents or key values. Query text is collected where the engine exposes it: normalized on PostgreSQL (statements the agent cannot parse are sent as they are); on SQL Server and Oracle it can contain literal values. Data collection and privacy
Which databases and platforms are supported?
PostgreSQL, Microsoft SQL Server, Oracle, MongoDB, Redis, Valkey and ClickHouse, self-hosted, and PostgreSQL also on Amazon RDS and Huawei Cloud RDS. The agent runs on Linux and Windows. Setup details are in the docs.
How is Logstag priced?
Pricing is tailored to your environment: the number of instances and engines you monitor. We don't publish a price list.