Fast search, scalable ingestion, zero noise
Ingest logs from any source, query them in plain English, and get real-time insights — no data overload.
The Pain Points Every Team Faces
Traditional log management tools create more problems than they solve. High costs, slow searches, and overwhelming noise make debugging a nightmare.
Paying per GB ingested means every log line costs money. Traffic spikes, verbose logging, and debug noise drive costs through the roof.
Logs scattered across containers, servers, cloud providers, and services. No unified view means hours spent jumping between tools.
Debug logs, health checks, and routine messages drown out actual errors. Finding the signal in the noise becomes impossible.
Complex query syntax, slow full-text searches, and limited filtering make finding relevant logs a time-consuming process.
Logs isolated from metrics and traces. Can't connect log errors to performance degradation or trace failures without manual correlation.
Learning proprietary query languages (KQL, SPL, etc.) takes time. Engineers waste hours writing queries instead of fixing issues.
Unified, Intelligent, Cost-Effective
Logify360 Logs unifies ingestion, eliminates noise, enables fast search, and integrates with metrics and traces for complete observability.
Unified ingestion from any source
Intelligent noise filtering
Fast, natural language queries
Cross-signal correlation
Cost guardrails & smart retention
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Powerful capabilities that scale with you
Collect logs from any source — containers, servers, cloud providers, agents, applications. Supports OpenTelemetry, Fluentd, Fluent Bit, Vector, and native integrations.
One platform for all your logs, no matter where they originate.
Example:
Ingest from Kubernetes pods, AWS CloudWatch, and on-prem servers in one unified view.
Smart guardrails, dynamic sampling, and tiered retention policies automatically control ingest costs. Pattern mining identifies noisy sources for optimization.
Reduce log storage costs by 20-40% while preserving critical debugging data.
Example:
Automatically sample verbose debug logs while keeping 100% of error logs and anomalies.
Lightning-fast search across billions of log lines. Support for free-text queries, structured filters, facets, and natural language queries via Smart Search.
Find relevant logs in seconds, not minutes — even across massive datasets.
Example:
Search 'errors after 10:05 deploy in checkout-api' and get instant results with top stack traces.
Automatic pattern clustering, anomaly detection, root cause suggestions, and intelligent alerting. AI identifies unusual patterns and suggests likely causes.
Discover issues before they become incidents. Get actionable insights automatically.
Example:
AI detects unusual error spike pattern, clusters similar errors, and suggests memory leak in payment-service.
Logs seamlessly integrated with metrics and traces. Jump from a log error to related traces and metrics without losing context.
Complete observability picture. Understand the full impact of log events across your stack.
Example:
Click a log error → see related traces showing the request path → view metrics showing latency spike.
Handle high-volume log ingestion (100k+ events/sec) with minimal latency. Optimized storage and indexing for fast queries at scale.
Grows with your infrastructure. No performance degradation as log volume increases.
Example:
Process 2.5TB of logs daily with P95 query latency under 120ms.
End-to-end encryption, PII redaction, tokenization, retention policies, audit logs, and compliance support (GDPR, HIPAA, SOC 2).
Enterprise-grade security and compliance out of the box. Meet regulatory requirements without extra work.
Example:
Automatically redact PII from logs, enforce retention policies, and maintain audit trails for compliance.
Watch logs stream in real-time with zero latency. Filter by service, level, keyword, or pattern on the fly. Perfect for debugging active incidents.
See what's happening right now. Debug issues as they occur, not after the fact.
Example:
Tail logs from checkout-service, filter for errors, and watch new issues appear in real-time.
See how teams use Logify360 Logs
Challenge
After deploying a new feature, error rates spike. Need to quickly identify which service is failing and why.
Solution
Use Smart Search to ask 'errors after 10:05 deploy in checkout-api'. AI clusters errors, identifies top stack traces, and suggests root cause: memory leak in payment-service. Jump to related traces to see full request path.
Result: MTTR reduced from 2 hours to 15 minutes
Features Used:
Challenge
Checkout latency spikes in EU region. Need to correlate logs with metrics to understand if it's a database issue, network problem, or application bug.
Solution
Search logs for 'checkout latency' in EU region, filter by time range. View correlated metrics showing database connection pool exhaustion. Logs reveal connection timeout errors matching the metric spike.
Result: Identified root cause in 5 minutes vs. 45 minutes previously
Features Used:
Challenge
Security alert triggers. Need to audit log patterns for suspicious activity, identify affected systems, and maintain compliance audit trail.
Solution
Search logs for authentication failures, unusual access patterns, and correlate with user activity. AI pattern detection identifies anomaly cluster. PII automatically redacted for compliance. Full audit trail maintained.
Result: Compliance audit completed in 30 minutes vs. 4 hours
Features Used:
Real results from real teams
Built for scale, security, and reliability
Watch logs stream in real-time with zero latency. Filter by service, level, or keyword on the fly.
See how Logify360 Logs can help you reduce costs, find issues faster, and gain complete observability across your stack.