Elasticsearch Relevance Testing Before Your Customers Notice
What a Caught Regression Looks Like
Instantly See What Changed — and What Broke
Cluster Metrics Are Green.
Search Relevance Is Not.
Kibana shows your query latency, error rate, and shard health. None of that tells you whether your most important queries are still returning the right results after a mapping change or a scoring profile update.
Scoring Profile Changes
You update a function_score or boost a field weight. The cluster stays healthy. But your top revenue queries now rank entirely different products — and nothing in Kibana shows it.
Index Mapping Changes
A field gets re-mapped from text to keyword, or analyzer settings shift during a re-index.
Tokenization changes silently break full-text matching on your critical queries.
Shard-Level Score Variance
Elasticsearch calculates IDF per shard by default. Uneven data distribution causes relevance scores to vary unpredictably across requests, making regressions hard to isolate without automated baselines.
Re-index & Pipeline Failures
A catalog re-index completes without errors, but an ingest pipeline bug corrupts field values. Your best-selling products stop matching queries with zero cluster-level errors to flag it.
A Green Cluster Doesn't Mean
Your Search Is Working
When scoring breaks or a re-index corrupts field values, Elasticsearch reports a 200ms successful query. You have no idea. Your customers do — they just don't stay long enough to tell you.
The average time a silent relevance regression runs in production before a human notices — usually via a revenue or support signal.
The engineering cost of building, wiring, and maintaining a custom regression test harness for Elasticsearch — that nobody touches six months later.
Fully managed, automated, and running within minutes. Less than an hour of a mid-level engineer's time — every month.
Discovery timelines reflect general industry patterns. Build cost estimates assume a senior engineer at market rates.
Don't wait for a customer complaint to discover a regression.
What ReleGuard Catches
for Elasticsearch Teams
A deployment updates function_score weights and top products sink in rankings
Detects position changes for monitored products within the next scheduled test run
A re-index with a changed analyzer breaks tokenization on brand name queries
Validates that expected products still appear in results for your critical query set
An ingest pipeline bug corrupts a field and zero-result queries spike
NoZeroResults conditions alert immediately when monitored queries return empty result sets
A catalog feed update removes key attributes and field-level filters stop matching
FieldMustContainValue conditions verify your field data is still intact after catalog updates
A new Elasticsearch version upgrade changes default similarity algorithm behavior
Catches ranking shifts by comparing current results against your pre-upgrade baselines
Ready to catch regressions before your customers do?
Kibana Shows Cluster Health.
ReleGuard Shows Search Quality.
Elasticsearch's built-in tooling is excellent for infrastructure observability. But a cluster with green shards and fast queries can still return completely wrong results — and nothing in Kibana will tell you that.
Kibana / ES Monitoring
- Monitors cluster health, latency, and shard status
- No visibility into result relevance or ranking
- No alerting when specific queries return wrong results
- Shows a 200ms "healthy" query even when results are wrong
ReleGuard Monitoring
- Tests whether specific products rank where they should
- Detects regressions after every deployment or config change
- Alerts when results drift — not just when the cluster is down
- Works alongside Kibana — complementary, not a replacement
You Could Build This Yourself.
Here's Why Teams Don't.
Build It Yourself
- 4–6 weeks of senior engineering time
- Build scheduling, alerting, history storage
- Ongoing maintenance nobody owns
- Silently stops working 6 months later
Use ReleGuard
- Running in under 5 minutes
- Scheduling, alerting, and history built-in
- Alerts via Email, Slack, and Webhooks
- Starts at $49/mo — less than 1 hour of engineer time
Built by a Search Engineer Who's Been There
ReleGuard was built by a Tech Lead who has led search implementation and optimization projects at companies ranging from $25M to $500M+ in revenue. After watching one too many silent search regressions cost teams days of debugging and thousands in lost conversions, the choice was clear: build the monitoring tool that should have existed all along.
Frequently Asked Questions
Q Does ReleGuard write to my Elasticsearch index or modify cluster settings?
No. ReleGuard only executes read-only search queries against your cluster. It never indexes documents, modifies mappings, or changes any cluster configuration. The credentials you provide need only search permissions.
Q Does it work with self-hosted Elasticsearch or only managed services like Elastic Cloud?
Both. ReleGuard connects to any Elasticsearch HTTP endpoint — whether that's a self-hosted cluster, Elastic Cloud, or another managed provider. As long as your cluster is accessible via HTTPS and accepts API key or basic auth, it works.
Q Can I monitor multiple indices from the same cluster?
Yes. Each test configuration targets a specific index within your cluster. You can create separate tests for as many indices as your plan allows, all from the same provider connection.
Q How fast will I detect a regression after a deployment?
It depends on your schedule. With hourly testing (Professional plan and above), you'll know within the hour. You can also trigger tests manually via the UI or our API after every deployment — so CI/CD-triggered validation is possible on any plan.
Q Does this replace Kibana or my existing cluster monitoring?
No — it complements them. Kibana monitors your cluster's infrastructure health. ReleGuard monitors whether your search results are still correct. They solve different problems. Most teams use both.
Your Next ES Deployment
Could Break Search Silently
Cluster metrics stay green. Your best-selling products disappear from results. Customers notice first — and leave. Or: you set up ReleGuard in 5 minutes and catch it yourself.
Also Available For