Smart Search turns observability chaos into clear insights - no dashboards, no DSL, just instant clarity.
Stop context-switching between tools and wrestling with query syntax. Smart Search translates natural language queries to observability queries across all your data sources. API available now, UI coming soon.
Why Smart Search Exists
Hours spent jumping between log viewers, metric dashboards, and trace analyzers. Each tool has different query syntax and no way to correlate data across signals.
When production breaks, you're stuck writing complex queries and piecing together clues from disconnected sources. Every minute counts, but MTTR suffers.
Logs, metrics, and traces live in separate tools. No unified view means you miss critical correlations that would reveal root causes instantly.
New team members struggle with complex query languages. Every tool requires training and documentation, making onboarding slow and expensive.
Smart Search eliminates the complexity. Ask questions naturally, get answers instantly, and see correlations automatically. No syntax to learn, no tools to switch between, no context to lose.
Key capabilities that make observability simple
Ask questions the way you'd ask a colleague. No syntax, no memorization. Smart Search understands intent and translates it to queries across all your data sources.
β Your entire team can use it immediately no training required.
Search across logs, metrics, and traces simultaneously. Automatically correlates data from different sources to give you complete answers with full context.
β See the full picture instantly - no more piecing together clues.
Smart Search understands relationships between events, services, and infrastructure. Automatically connects the dots to show you why something happened, not just what happened.
β Get root cause analysis automatically - no manual investigation needed.
Get answers in seconds, not minutes. Smart Search uses intelligent indexing and parallel search to stream results as they're found.
β Reduce investigation time from hours to minutes.
Watch how Smart Search answers complex questions in real-time. Try different queries to see instant, correlated results across all your observability data.
Measurable outcomes that matter
"Incident investigation went from 2 hours to 15 minutes. On-call is less painful now."
"New engineers are productive on day one. No query syntax training needed they just ask questions."
"Cross-signal correlation made the difference. Root causes in minutes instead of hours."
Examples of questions Smart Search can answer
"Why did checkout latency spike after the 10:05 deploy?"
Traces the issue to a memory leak in payment-service, shows related errors, and provides fix recommendations.
"Which pods breached SLO in prod last hour?"
Identifies 3 pods with latency > 500ms, shows correlation with recent deploy, and suggests rollback.
"Root cause for Kafka consumer lag in ap-south-1?"
Finds network partition, shows affected consumers, and correlates with infrastructure metrics.
"What's causing high CPU on the database cluster?"
CPU spike from slow query pattern in orders table. Shows query plan, suggests index optimization.
Discover how Logify360 helps you monitor and optimize your entire stack
See how Smart Search changes the way your team investigates incidents. Get instant answers across all your observability data no query syntax required.
Smart Search turns observability chaos into clear insights - no dashboards, no DSL, just instant clarity.
Stop context-switching between tools and wrestling with query syntax. Smart Search translates natural language queries to observability queries across all your data sources. API available now, UI coming soon.
Why Smart Search Exists
Hours spent jumping between log viewers, metric dashboards, and trace analyzers. Each tool has different query syntax and no way to correlate data across signals.
When production breaks, you're stuck writing complex queries and piecing together clues from disconnected sources. Every minute counts, but MTTR suffers.
Logs, metrics, and traces live in separate tools. No unified view means you miss critical correlations that would reveal root causes instantly.
New team members struggle with complex query languages. Every tool requires training and documentation, making onboarding slow and expensive.
Smart Search eliminates the complexity. Ask questions naturally, get answers instantly, and see correlations automatically. No syntax to learn, no tools to switch between, no context to lose.
Key capabilities that make observability simple
Ask questions the way you'd ask a colleague. No syntax, no memorization. Smart Search understands intent and translates it to queries across all your data sources.
β Your entire team can use it immediately no training required.
Search across logs, metrics, and traces simultaneously. Automatically correlates data from different sources to give you complete answers with full context.
β See the full picture instantly - no more piecing together clues.
Smart Search understands relationships between events, services, and infrastructure. Automatically connects the dots to show you why something happened, not just what happened.
β Get root cause analysis automatically - no manual investigation needed.
Get answers in seconds, not minutes. Smart Search uses intelligent indexing and parallel search to stream results as they're found.
β Reduce investigation time from hours to minutes.
Watch how Smart Search answers complex questions in real-time. Try different queries to see instant, correlated results across all your observability data.
Measurable outcomes that matter
"Incident investigation went from 2 hours to 15 minutes. On-call is less painful now."
"New engineers are productive on day one. No query syntax training needed they just ask questions."
"Cross-signal correlation made the difference. Root causes in minutes instead of hours."
Examples of questions Smart Search can answer
"Why did checkout latency spike after the 10:05 deploy?"
Traces the issue to a memory leak in payment-service, shows related errors, and provides fix recommendations.
"Which pods breached SLO in prod last hour?"
Identifies 3 pods with latency > 500ms, shows correlation with recent deploy, and suggests rollback.
"Root cause for Kafka consumer lag in ap-south-1?"
Finds network partition, shows affected consumers, and correlates with infrastructure metrics.
"What's causing high CPU on the database cluster?"
CPU spike from slow query pattern in orders table. Shows query plan, suggests index optimization.
Discover how Logify360 helps you monitor and optimize your entire stack
See how Smart Search changes the way your team investigates incidents. Get instant answers across all your observability data no query syntax required.
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