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AlertAgility
IT Alerting
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ThresholdIQ: Rebuilt the Engine From the Ground Up
A few weeks ago I launched ThresholdIQ to help teams monitor spreadsheet data without needing heavy BI tools like Microsoft Power BI or Tableau.
The first version used simple threshold rules: upload a file, set limits, and receive alerts when values crossed them.
It worked โ but one issue kept appearing.
Setting thresholds is harder than it sounds.
Seasonal revenue, slowly drifting metrics, and correlated data often break rule-based systems. So instead of improving the rule engine, I removed it.
ThresholdIQ v2 now uses 9 concurrent anomaly detection methods to detect unusual patterns automatically.
When you press Detect, the engine runs multiple analyses directly in your browser:
multi-window Z-score baselines
EWMA deviation detection
SARIMA seasonal modeling
Isolation Forest outlier detection
correlation deviation checks
DBSCAN clustering
Additional detectors catch seasonal hour/day effects, slow trend drift, and stuck or zero-value signals.
Each method contributes to a weighted score that determines alert severity: Warning, Critical, or Emergency.
Why everything runs in the browser
All analysis happens locally โ your data never leaves your machine. No server processing, no external APIs, no third-party calls.
The ML libraries are bundled directly into the app so everything runs offline.
Tech stack: Vanilla JS, Web Workers, Chart.js.
If you regularly monitor spreadsheet data, Iโd love feedback.
Try it here: https://thresholdiq.app
Better Stack is an eBPF-based, AI SRE observability tool that helps you ship higher-quality software faster. Monitor everything from websites to servers. Schedule on-call rotations, get actionable alerts, and resolve incidents faster than ever. Connect your Kubernetes or Docker clusters to gather logs, metrics, and network traces with eBPF. No code changes required.
ThresholdIQ.app
Better StackThresholdIQ.app's answer
Devops , SRE Teams and even business who want to test their data for their performance setting up the threshold.
Better Stack's answer:
Engineering teams of all sizes โ from startups to Fortune 500 companies.
ThresholdIQ.app's answer
The tool lets you test thresholds on historical data before deploying: โข Upload CSV/Excel or paste from clipboard (even works with PDFs!) โข Set warning/critical/emergency thresholds โข See exactly which alerts would have fired โข Visualize on a timeline โข Export reports
Better Stack's answer:
Better Stack is a modern observability tool that leverages eBPF and OpenTelemetry to make tracing work for you.
ThresholdIQ.app's answer
I built ThresholdIQ after getting paged at 3am because of badly tuned alert thresholds. The classic problem: set them too low โ alert fatigue, set them too high โ miss critical issues.
Better Stack's answer:
We are software builders at Better Stack.
CEO is a software engineer, COO is a software engineer and you guessed it; CTO is an engineer, too.
Weโre helping developers ship higher quality software faster.
ThresholdIQ.app's answer
Grafana shows what happened, ThresholdIQ shows what WOULD happen with different thresholds
Better Stack's answer:
You get an unrivaled price-to-performance ratio. Forget sampling and ingest all your data, or decrease your costs by 30x.
ThresholdIQ.app's answer
Tech stack: Vanilla JS, Web Workers, Chart.js. No frameworks, no server.
Better Stack's answer:
The primary technologies used to build Better Stack are eBPF for low-level, high-performance instrumentation and ClickHouse for storing and querying large volumes of observability data efficiently.
ThresholdIQ.app's answer
This is a new App, looking of genuine users and feedback,
Based on our record, Better Stack seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Better Stack bundles uptime, real Playwright/Chromium browser checks, incident management, on-call, logs, and status pages in one product โ and its native on-call and escalation are the best in this list. You author in JavaScript or paste from Playwright codegen, and you get trace-viewer artifacts on failure, an MCP integration, and a Terraform provider. - Source: dev.to / 16 days ago
Better Stack (formerly Better Uptime + Logtail) is the most ambitious all-in-one in this list โ it bundles uptime monitoring, on-call scheduling, incident management, status pages, AND log management into a single platform. If you want one vendor for your entire observability and incident communication stack, this is the closest thing to that vision. - Source: dev.to / 22 days ago
Better Stack (formerly Better Uptime + Logtail) is an all-in-one reliability platform combining uptime monitoring, on-call scheduling, incident management, status pages, and log management in a single product. The pitch is eliminating the patchwork of 3โ5 tools most teams cobble together โ monitoring, PagerDuty, Statuspage, and a log aggregator โ into one coherent system. - Source: dev.to / 22 days ago
Better Stack (formerly known as Better Uptime) bundles uptime monitoring, status pages, on-call scheduling, and log management into a single platform. The free tier gives you a taste of each: 10 monitors, 1 status page, and 3 GB of log ingestion per month. For teams that want monitoring, incident management, and observability under one roof without paying for three separate tools, Better Stack's free tier covers... - Source: dev.to / 22 days ago
Better Stack bundles uptime monitoring, incident management, on-call scheduling, status pages, and log management into a single platform. For API monitoring, Better Stack offers HTTP checks with keyword matching, multi-step checks that chain requests and pass data between steps, and response time tracking across multiple global locations. - Source: dev.to / 22 days ago
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