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Diagnose PostgreSQL query performance with continuous statistics and tuning advisors.

Find database performance bottlenecks by tracing wait times to SQL statements and tuning opportunities.

Inspect database health and query performance across mixed on-premises and cloud estates.

Find production performance bottlenecks in PHP and Python applications, then inspect the responsible code paths.

Compare synthetic browser checks with real-user performance and alert on regressions.

Investigate database health and query bottlenecks across a mixed database estate from one console.

Self-hosted database observability that links node health to slow queries.

Query fresh analytical data through a distributed OLAP datastore with SQL and REST access paths.

Adds a global query view, high availability, and long-term storage to Prometheus deployments.

Model connected data as a distributed graph and query it with DQL or a schema-generated GraphQL API.

Mobile app observability for crashes, performance, user sessions, and product signals.

Measure app startup, screen rendering, and HTTP/S request behavior, then compare performance across releases and devices.

Measure network-path quality between sites with continuous synthetic probes and performance diagnostics.

Collect application traces, metrics, logs, and error signals with language-specific agents.

A managed NoSQL database with a portal-based setup and query workflow.

Collect and inspect distributed traces from instrumented applications with a self-managed tracing platform.

Ingest streaming or batch data into an analytics database built for fast interactive queries.

Build database queries visually and share live dashboards, alerts and data feeds.

Use a reactive document database and JavaScript query functions in a TypeScript backend.

AI OKR and performance management software with three named AI models

A self-managed relational SQL database focused on analytical workloads.

Find content opportunities and assess SEO changes using connected search data.

A Java-based load-testing application for exercising services and analyzing their performance under simulated traffic.

Instrument an application to collect exceptions, slow requests, logs, and performance signals in a hosted monitoring service.