See, analyze, and resolve issues across your full stack from one place faster and simpler.
Logify360 unifies all observability signals-logs, metrics, traces, infrastructure, and security-into one intelligent platform. With cross-signal correlation, intelligent insights, and natural language queries, you get complete visibility without the complexity.
Modern engineering teams face a critical challenge: managing observability across multiple disconnected tools that create more problems than they solve.
Switching between 5+ tools (Datadog, New Relic, Splunk, Grafana) to investigate a single incident
Hours spent writing complex queries and manually correlating logs, metrics, and traces
Uncontrolled ingest costs from noisy data, paying for logs/metrics you never use
Can't connect the dots between infrastructure issues, application errors, and security events
Engineers spend hours investigating instead of fixing-no automated insights or remediation
Separate tools for security monitoring, compliance tracking, and infrastructure posture
Logify360 replaces tool sprawl with unified observability. Ingest once, query naturally, and analyze all signals-all from one intelligent platform.
Unified ingestion & correlation across logs/metrics/traces/infrastructure/security
Cross-signal correlation and intelligent insights for faster root cause identification
Smart Search API for natural language queries - no query syntax to learn
Kubernetes operations directly from the UI (scale, rollback, restart, node management)
Simplified observability stack-one tool instead of five
Comprehensive observability features that work together seamlessly
High-cardinality log search with noise control and intelligent indexing. Query billions of logs in seconds with natural language or structured queries.
Why it matters:
Find the needle in the haystack-critical errors buried in millions of log lines
Example:
Identify the exact error causing checkout failures across 50 microservices
Real-time application and infrastructure KPIs with SLO tracking. Distributed tracing with service maps and span analysis.
Why it matters:
Understand performance bottlenecks across your entire stack in real-time
Example:
Track latency percentiles, error rates, and throughput across all services
Kubernetes, cloud resources, and on-premises infrastructure monitoring with golden signals. Auto-discovery and zero-config setup.
Why it matters:
Proactive infrastructure health monitoring with predictive alerts
Example:
Detect memory pressure, CPU spikes, and network issues before they impact users
Unified security posture and runtime signals. Correlate security events with infrastructure and application metrics.
Why it matters:
See security threats in context of your entire system-not in isolation
Example:
Identify suspicious API calls that correlate with infrastructure anomalies
Automatic correlation across logs, metrics, traces, and infrastructure data. Identify root causes faster with unified insights and evidence trails.
Why it matters:
Resolve incidents faster with complete context across all observability signals
Example:
Kubernetes pod crash? Correlate pod logs, metrics, traces, and infrastructure events in one view
Complete Kubernetes observability with operational capabilities. Monitor and manage pods, deployments, services, and nodes directly from the UI.
Why it matters:
Operate and monitor your Kubernetes clusters from one unified interface
Example:
Scale deployments, rollback releases, restart pods, and manage nodes - all from the observability platform
Natural language query translation API that works across all signals. Smart Search translates plain English to observability queries - no query syntax to learn. (API available, UI coming soon)
Why it matters:
Get answers in seconds, not hours - no need to learn multiple query languages
Example:
Ask 'Why did checkout latency spike after the 10:05 deploy?' - Smart Search API translates to queries across logs, metrics, and traces
One dashboard for all observability needs. Customizable views, real-time updates, and cross-signal correlation.
Why it matters:
Single source of truth-no more context switching between tools
Example:
View logs, metrics, traces, and infrastructure health in one correlated view
Collect, transform, and route observability data from 200+ sources to one destination. OpenTelemetry-first architecture.
Why it matters:
Ingest once, use everywhere-simplified data pipeline management
Example:
Unify data from AWS, GCP, Azure, Kubernetes, and on-premises into one platform
Beyond features-here's what Logify360 delivers for your business
Resolve incidents faster with automated root cause analysis
Reduce observability spend through intelligent data management
Catch issues before they impact users
Natural language queries and intelligent insights accelerate investigation
Replace 5+ tools with one unified platform
Pilot to production conversion-teams love the unified experience
See how Logify360 solves observability challenges for different organizations
Challenge
Rapid growth means more services, more complexity, and more incidents. Need observability that scales without breaking the bank.
Solution
Logify360 auto-discovers new services, provides natural language queries for quick debugging, and cost guardrails keep spend under control as you scale.
Challenge
Managing observability across cloud and on-premises with limited engineering resources. Need unified visibility without tool sprawl.
Solution
One platform for all environments. OpenTelemetry agents work everywhere, unified dashboard shows everything, and intelligent correlation reduces on-call burden.
Challenge
SOC 2, GDPR, HIPAA requirements demand secure, compliant observability. Need audit trails, data retention policies, and security monitoring.
Solution
Enterprise-grade security, compliance certifications, on-premises/VPC deployment options, and unified security analytics.
Challenge
Observability costs scale with customer growth. Need to maintain visibility while controlling spend as revenue grows.
Solution
Cost guardrails automatically optimize ingest and retention. Smart sampling preserves critical data while reducing costs by 20/40%.
Challenge
Security events happen in isolation. Need to correlate security signals with infrastructure and application health.
Solution
Unified security analytics that correlates threats with system health. See security events in context of your entire stack.
Logify360 adapts to your infrastructure needs-whether you're fully cloud-native, hybrid, or require on-premises deployment.
Fully managed platform with automatic scaling, updates, and maintenance. Get started in minutes.
Keep sensitive data on-premises while leveraging cloud capabilities. Best of both worlds.
Full control over your data and infrastructure. Deploy in your VPC or data center.
Logify360's architecture is designed for scale, reliability, and simplicity.
OpenTelemetry agents and native integrations collect logs, metrics, traces, and infrastructure data from 200+ sources
Unified pipeline processes, indexes, and correlates all signals in real-time with intelligent sampling
Intelligent correlation engine analyzes patterns, finds root causes, and helps identify remediation-all powered by cross-signal correlation
Natural language Smart Search interface lets you ask questions and get instant answers across all data
Cost guardrails automatically optimize ingest and retention, reducing costs while preserving critical data
Built for enterprise security and compliance requirements
Connect your entire stack-cloud providers, databases, messaging queues, CI/CD tools, and more.
AWS, GCP, Azure, DigitalOcean
EKS, GKE, AKS, OpenShift
PostgreSQL, MySQL, MongoDB, Redis
Kafka, RabbitMQ, SQS, Pub/Sub
GitHub Actions, GitLab CI, Jenkins, CircleCI
Discover how Logify360 helps you monitor and optimize your entire stack
Join engineering teams who have ditched complex query languages for instant answers.
See, analyze, and resolve issues across your full stack from one place faster and simpler.
Logify360 unifies all observability signals-logs, metrics, traces, infrastructure, and security-into one intelligent platform. With cross-signal correlation, intelligent insights, and natural language queries, you get complete visibility without the complexity.
Modern engineering teams face a critical challenge: managing observability across multiple disconnected tools that create more problems than they solve.
Switching between 5+ tools (Datadog, New Relic, Splunk, Grafana) to investigate a single incident
Hours spent writing complex queries and manually correlating logs, metrics, and traces
Uncontrolled ingest costs from noisy data, paying for logs/metrics you never use
Can't connect the dots between infrastructure issues, application errors, and security events
Engineers spend hours investigating instead of fixing-no automated insights or remediation
Separate tools for security monitoring, compliance tracking, and infrastructure posture
Logify360 replaces tool sprawl with unified observability. Ingest once, query naturally, and analyze all signals-all from one intelligent platform.
Unified ingestion & correlation across logs/metrics/traces/infrastructure/security
Cross-signal correlation and intelligent insights for faster root cause identification
Smart Search API for natural language queries - no query syntax to learn
Kubernetes operations directly from the UI (scale, rollback, restart, node management)
Simplified observability stack-one tool instead of five
Comprehensive observability features that work together seamlessly
High-cardinality log search with noise control and intelligent indexing. Query billions of logs in seconds with natural language or structured queries.
Why it matters:
Find the needle in the haystack-critical errors buried in millions of log lines
Example:
Identify the exact error causing checkout failures across 50 microservices
Real-time application and infrastructure KPIs with SLO tracking. Distributed tracing with service maps and span analysis.
Why it matters:
Understand performance bottlenecks across your entire stack in real-time
Example:
Track latency percentiles, error rates, and throughput across all services
Kubernetes, cloud resources, and on-premises infrastructure monitoring with golden signals. Auto-discovery and zero-config setup.
Why it matters:
Proactive infrastructure health monitoring with predictive alerts
Example:
Detect memory pressure, CPU spikes, and network issues before they impact users
Unified security posture and runtime signals. Correlate security events with infrastructure and application metrics.
Why it matters:
See security threats in context of your entire system-not in isolation
Example:
Identify suspicious API calls that correlate with infrastructure anomalies
Automatic correlation across logs, metrics, traces, and infrastructure data. Identify root causes faster with unified insights and evidence trails.
Why it matters:
Resolve incidents faster with complete context across all observability signals
Example:
Kubernetes pod crash? Correlate pod logs, metrics, traces, and infrastructure events in one view
Complete Kubernetes observability with operational capabilities. Monitor and manage pods, deployments, services, and nodes directly from the UI.
Why it matters:
Operate and monitor your Kubernetes clusters from one unified interface
Example:
Scale deployments, rollback releases, restart pods, and manage nodes - all from the observability platform
Natural language query translation API that works across all signals. Smart Search translates plain English to observability queries - no query syntax to learn. (API available, UI coming soon)
Why it matters:
Get answers in seconds, not hours - no need to learn multiple query languages
Example:
Ask 'Why did checkout latency spike after the 10:05 deploy?' - Smart Search API translates to queries across logs, metrics, and traces
One dashboard for all observability needs. Customizable views, real-time updates, and cross-signal correlation.
Why it matters:
Single source of truth-no more context switching between tools
Example:
View logs, metrics, traces, and infrastructure health in one correlated view
Collect, transform, and route observability data from 200+ sources to one destination. OpenTelemetry-first architecture.
Why it matters:
Ingest once, use everywhere-simplified data pipeline management
Example:
Unify data from AWS, GCP, Azure, Kubernetes, and on-premises into one platform
Beyond features-here's what Logify360 delivers for your business
Resolve incidents faster with automated root cause analysis
Reduce observability spend through intelligent data management
Catch issues before they impact users
Natural language queries and intelligent insights accelerate investigation
Replace 5+ tools with one unified platform
Pilot to production conversion-teams love the unified experience
See how Logify360 solves observability challenges for different organizations
Challenge
Rapid growth means more services, more complexity, and more incidents. Need observability that scales without breaking the bank.
Solution
Logify360 auto-discovers new services, provides natural language queries for quick debugging, and cost guardrails keep spend under control as you scale.
Challenge
Managing observability across cloud and on-premises with limited engineering resources. Need unified visibility without tool sprawl.
Solution
One platform for all environments. OpenTelemetry agents work everywhere, unified dashboard shows everything, and intelligent correlation reduces on-call burden.
Challenge
SOC 2, GDPR, HIPAA requirements demand secure, compliant observability. Need audit trails, data retention policies, and security monitoring.
Solution
Enterprise-grade security, compliance certifications, on-premises/VPC deployment options, and unified security analytics.
Challenge
Observability costs scale with customer growth. Need to maintain visibility while controlling spend as revenue grows.
Solution
Cost guardrails automatically optimize ingest and retention. Smart sampling preserves critical data while reducing costs by 20/40%.
Challenge
Security events happen in isolation. Need to correlate security signals with infrastructure and application health.
Solution
Unified security analytics that correlates threats with system health. See security events in context of your entire stack.
Logify360 adapts to your infrastructure needs-whether you're fully cloud-native, hybrid, or require on-premises deployment.
Fully managed platform with automatic scaling, updates, and maintenance. Get started in minutes.
Keep sensitive data on-premises while leveraging cloud capabilities. Best of both worlds.
Full control over your data and infrastructure. Deploy in your VPC or data center.
Logify360's architecture is designed for scale, reliability, and simplicity.
OpenTelemetry agents and native integrations collect logs, metrics, traces, and infrastructure data from 200+ sources
Unified pipeline processes, indexes, and correlates all signals in real-time with intelligent sampling
Intelligent correlation engine analyzes patterns, finds root causes, and helps identify remediation-all powered by cross-signal correlation
Natural language Smart Search interface lets you ask questions and get instant answers across all data
Cost guardrails automatically optimize ingest and retention, reducing costs while preserving critical data
Built for enterprise security and compliance requirements
Connect your entire stack-cloud providers, databases, messaging queues, CI/CD tools, and more.
AWS, GCP, Azure, DigitalOcean
EKS, GKE, AKS, OpenShift
PostgreSQL, MySQL, MongoDB, Redis
Kafka, RabbitMQ, SQS, Pub/Sub
GitHub Actions, GitLab CI, Jenkins, CircleCI
Discover how Logify360 helps you monitor and optimize your entire stack
Join engineering teams who have ditched complex query languages for instant answers.