IBM Instana Observability
ibm.comDiscover supported services and connect application, infrastructure, and user-experience signals for investigation.
Discover supported services and connect application, infrastructure, and user-experience signals for investigation.
Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.
Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.
A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.
Store and query observability telemetry in a columnar data lake with SQL and PromQL.
Deploy Git-backed applications to managed containers with review apps, autoscaling and operational metrics.
Compare crypto discussion, blockchain activity and market behavior
Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.
A JavaScript font-reading, conversion and glyph-editing library.
A GTK desktop app for previews, font activation and personal collections.
An icon font for academic profiles, repositories and research services.
Sales execution dashboards linking team metrics with coaching work
Define metrics as code and explore them through dashboards or natural-language analysis.
Compare DeFi protocols with defined metrics and historical data
Select crypto market, network and reference-price datasets
Stores and queries continuous application profiles to reveal resource use down to code-level details.
Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.
Identify likely fonts from images and compare similar alternatives.
A webfont that turns readable symbol names into icon ligatures.
A multi-style icon catalog with a subset composer and drawing studio.
A macOS font viewer for shaping, variations and source comparisons.
Compare on-page and third-party SEO metrics for a supplied list of URLs.
Use enterprise Kanban boards and Lean metrics to follow work from planning through delivery.
Use network-flow and packet-derived metrics to locate performance degradation across network paths.