kube-state-metrics
github.comExpose current Kubernetes object state as metrics for a separate monitoring system to scrape and analyze.
Expose current Kubernetes object state as metrics for a separate monitoring system to scrape and analyze.
Trace Python services and AI workflows with correlated OpenTelemetry data.
Transaction checks and on-chain monitoring for crypto teams
Deploy managed open-source software on a dedicated cloud VM with backups, updates, TLS, and monitoring handled by Elestio.
Query OCI resource and application metrics, then route alarm notifications when monitored conditions change.
Centralize alert rules across metrics, logs, and database sources you already run.
Collect numeric service metrics by scraping HTTP endpoints and query them with PromQL.
Fully managed vector database for AI, with automatic indexing and fast search.
Translate SQL schemas and program objects between database dialects
Check endpoint and job health, then turn failed checks into incidents and status-page updates.
Group mobile app crashes, non-fatal errors, and Android ANRs into issues that teams can prioritize by user impact.
Analyze network traffic, flows, hosts, and protocol behavior through a web-based monitoring console.
Check websites, endpoints, ports, DNS, and scheduled heartbeats, then send alerts when checks fail.
Sentry-SDK-compatible error monitoring, available hosted or self-hosted.
Monitor tax exposure, review product categories and approve the first filing
Collect infrastructure and application metrics, chart them, and alert when monitored conditions need attention.
Monitor websites and APIs from multiple regions, then route failures into alerts and status updates.
Find production performance bottlenecks in PHP and Python applications, then inspect the responsible code paths.
Combine application error reports with external uptime checks and missed-job alerts.
Capture application errors with context and correlate them with performance and deployment changes.
Ingest operational metrics and events, detect anomalies, and connect alerts to service context and response workflows.
Store and query Prometheus-compatible metrics with a single-node binary or a scalable cluster.
Investigate monitoring alerts with an AI SRE agent and review findings in a centralized platform.