Loggly Cost-effective, hosted, and scalable full-stack, multi-source log lol世界总决赛下注 solution
Key Features
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Features Overview
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Reduce mean time to repair (MTTR)
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Accelerate troubleshooting
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Rapidly find bottlenecks and failure points
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Speed triage
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Azure application log monitoring
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AWS application log monitoring
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Spot usage patterns
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Application Performance Monitoring
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Digital Experience Monitoring
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Manage what matters
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Features Overview
Achieve unified log monitoring and analysis for everything that matters.
Always available, quick to repairEnsure applications, services, and associated infrastructure deliver the utmost availability by rapidly pinpointing and communicating root cause.Continuous insight everywhereRapidly achieve continuous, proactive insight for issues spanning AWS, Azure, and hybrid cloud applications, services, and infrastructure stacks.
Scalable technology for your scaling businessEnable your IT operations to grow smarter as your infrastructure, application, and service environments dynamically scale. -
Reduce mean time to repair (MTTR)
Rapidly diagnose across the stack to reduce MTTR.
Reduce MTTR by quickly jumping from an alert or metric into the relevant logs to rapidly spot issues.
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Accelerate troubleshooting
Speed troubleshooting with complete and shared visualization across all logs and data.
Accelerate troubleshooting with dashboards, broad language support, and contextualized searching across all logs and data.
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Rapidly find bottlenecks and failure points
Rapidly identify events in context across all aggregated logs. Diagnose events and issues.
Rapidly pinpoint bottlenecks and failure points using powerful surround search capabilities—seeing events in complete context across all aggregated logs.
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Speed triage
Immediately diagnose events and issues.
Speed triage to immediately diagnose via automated, real-time field exploration to intelligently determine related data.
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Azure application log monitoring
Fast, powerful searching and alerting over massive volumes of log data.
Resolve Azure application performance issues faster with automatically integrated, end-to-end performance metrics, traces, and logs, spanning Azure IaaS, PaaS, and over 40 out-of-the-box integrations.
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AWS application log monitoring
Fast, powerful searching and alerting over massive volumes of log data.
Resolve AWS application performance issues faster with automatically integrated, end-to-end performance metrics, traces, and logs, spanning broad AWS Services and over 60 out-of-the-box integrations.
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Spot usage patterns
Spot usage patterns across applications, services, and infrastructure.
Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user log AND infrastructure data.
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Application Performance Monitoring
Achieve greater observability with time-series infrastructure and application performance data integrated with your log lol世界总决赛下注.
Understand the implications of suspect log lines (errors, capacity issues, etc.) on application and service performance. Add trace context to your logs to significantly reduce application performance troubleshooting time.
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Digital Experience Monitoring
Understand the implications of suspect log lines on user experience.
Achieve complete observability and validate performance issues and remediation with uptime, page speed, and transaction tests with SolarWinds? Pingdom?.
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Manage what matters
Focus efforts using exception-based analytics.
Manage by exception by identifying variations from normal with powerful log formatting and analytic search capabilities.
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Context is crucial
See events in context across all related events.
See events in context with automated grouping and linking of related events.
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Shared understanding
Collaborate across all stakeholders with shared dashboards and visualizations.
Collaborate with all stakeholders via easy-to-use and customized dashboards and visualizations of aggregated data across the stack.
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Highly responsive search at scale
Process large volumes of data while delivering rapid search capability.
Process large volumes of data to quickly search across large and complex environments to see interconnected services, events, and issues.
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Always capture all the data
Cost-effectively scale to massive data ingest volumes.
Scale to massive data ingest volumes with flexible data retention to always have all data needed for proactive analytics.
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Workflow process integration
Easy, seamless integration across IT and application team workflow processes.
Process integration across all relevant IT and application teams to avoid downtime with team alerting integrations like Slack, PagerDuty, Teams, custom webhooks, and more.
Key Features
Rapidly diagnose across the stack to reduce MTTR.
Reduce MTTR by quickly jumping from an alert or metric into the relevant logs to rapidly spot issues.
Speed troubleshooting with complete and shared visualization across all logs and data.
Accelerate troubleshooting with dashboards, broad language support, and contextualized searching across all logs and data.
Rapidly identify events in context across all aggregated logs. Diagnose events and issues.
Rapidly pinpoint bottlenecks and failure points using powerful surround search capabilities—seeing events in complete context across all aggregated logs.
Immediately diagnose events and issues.
Speed triage to immediately diagnose via automated, real-time field exploration to intelligently determine related data.
Fast, powerful searching and alerting over massive volumes of log data.
Resolve Azure application performance issues faster with automatically integrated, end-to-end performance metrics, traces, and logs, spanning Azure IaaS, PaaS, and over 40 out-of-the-box integrations.
Fast, powerful searching and alerting over massive volumes of log data.
Resolve AWS application performance issues faster with automatically integrated, end-to-end performance metrics, traces, and logs, spanning broad AWS Services and over 60 out-of-the-box integrations.
Spot usage patterns across applications, services, and infrastructure.
Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user log AND infrastructure data.
Achieve greater observability with time-series infrastructure and application performance data integrated with your log lol世界总决赛下注.
Understand the implications of suspect log lines (errors, capacity issues, etc.) on application and service performance. Add trace context to your logs to significantly reduce application performance troubleshooting time.
Understand the implications of suspect log lines on user experience.
Achieve complete observability and validate performance issues and remediation with uptime, page speed, and transaction tests with SolarWinds? Pingdom?.
Focus efforts using exception-based analytics.
Manage by exception by identifying variations from normal with powerful log formatting and analytic search capabilities.
See events in context across all related events.
See events in context with automated grouping and linking of related events.
Collaborate across all stakeholders with shared dashboards and visualizations.
Collaborate with all stakeholders via easy-to-use and customized dashboards and visualizations of aggregated data across the stack.
Process large volumes of data while delivering rapid search capability.
Process large volumes of data to quickly search across large and complex environments to see interconnected services, events, and issues.
Cost-effectively scale to massive data ingest volumes.
Scale to massive data ingest volumes with flexible data retention to always have all data needed for proactive analytics.
Easy, seamless integration across IT and application team workflow processes.
Process integration across all relevant IT and application teams to avoid downtime with team alerting integrations like Slack, PagerDuty, Teams, custom webhooks, and more.