62%
Dish was able to reduce their overall data volume, driving significant operational efficiency, and cost savings.
Log
Management
Smarter, Faster, and More Cost-Efficient Log Management
How Logz.io Simplifies
Log Management with AI
How Logz.io Simplifies
Log Management with AI
Log Management with AI
Logz.io Log Management, part of the Open360 AI experience, combines full-stack visibility, powerful AI analysis, and cost-optimized capabilities, so you can investigate and resolve issues faster, at scale.
Automate Troubleshooting with AI Agents
The Logz.io AI Agent automatically analyzes newly detected issues, correlating logs, metrics, and traces to surface the root cause in real time.
- Immediate investigations: Trigger RCA automatically after issue detection, no manual setup or queries required.
- Context-aware insights: Understand what happened, when, where, and how across your systems, and ask natural language questions to get instant, actionable answers, empowering your team to move faster.
- Actionable conclusions: Get AI-generated summaries that explain the cause and recommend next steps, helping teams respond faster and prevent recurrence.
- Integrate the AI Agent root cause analysis to your notification tool for proactive and real time logs alerting.
Transform every log alert into a ready-to-act RCA with interactive, AI-generated dashboards and insights built for observability.
Automate Troubleshooting with AI Agents
Maximize Efficiency and Minimize Costs
Multi-Tiered Storage
- Store logs based on access needs while maintaining scalability and cost efficiency.
- Hot Tier: High-performance storage for real-time analysis and rapid troubleshooting.
- Warm Tier: Provides cost-efficient storage for semi-active data with moderate query performance, importantly filling the gap between Hot and Cold Tiers.
- Cold Tier: Cost-efficient storage for long-term retention, with query access when needed.
Multi-Tiered Storage
LogMetrics
- Convert visualized log data into metrics to reduce log indexing costs.
- Drastically lower storage needs by turning logs into time-series metrics.
- Example: Convert all HTTP 200 logs from a service into a single metric for just $0.0004/month with Logz.io.
LogMetrics
Logz.io Customers Cut Data and Costs an Average of 32%
62%
Dish was able to reduce their overall data volume, driving significant operational efficiency, and cost savings.
Logz.io helps us in making sure that the quality of the data and the volume of data that we’re sending is what we need."
50%
Data Optimization Hub allows Monoova to reduce their usage, thus lowering costs.
Fully Managed and Scalable
Scalable, Zero-Maintenance Log Collection
- Ship your logs from any stack at any scale — our platform handles ingestion, storage, scaling up, and data security.
- Ask our support team to parse your logs for you, or use our Self-Service Log Parser to do it yourself.
- Our platform includes over 300+ out of the box integrations to help you get going with log management faster.
- Correlate your logs with trace data, to easily investigate your events from different perspectives.
Scalable, Zero-Maintenance Log Collection
Stay Notified with Real-Time Alerting
- Build advanced alerts based on multiple queries and trigger conditions.
- Determine frequency to combat alert fatigue.
- Employ Alert Recommendations that use supervised machine learning to accelerate response.
- Stay notified via integration between Logz.io and Slack, Opsgenie, PagerDuty, email and other channels.
Stay Notified with Real-Time Alerting
Easily Grow from Log Management to Full Observability
- Start with logs and gain immediate insights into the current state of your environment.
- Seamlessly expand to monitoring metrics and traces for a complete, unified view.
- Correlate logs with metrics and traces to quickly identify and resolve issues, with additional context from Trace Quickview in Explore.
- Track production changes alongside logs to spot problems and roll back problematic code or configurations efficiently.
Easily Grow from Log Management to Full Observability
Explore What Logz.io Can Do for Your Logs
Simplify how you collect, analyze, and act on log data with Open360 AI – smarter insights, faster troubleshooting, and lower costs.
Explore What Logz.io Can Do for Your Logs
Logz.io Log Management FAQs
What is logging as a service and how is it different from other log management tools?
Logging as a service (LaaS) refers to log management and analytics service deployed via SaaS – so the solution is deployed on the vendor’s infrastructure. Unlike self-hosted log management solutions, the cloud-native architectures of LaaS platforms enables seamless scalability and little manual maintenance.
How does Logz.io use AI to transform log management?
At Logz.io we’ve introduced an AI Agent in the Open 360™ platform that automatically delves into your stack, fine-tunes your workflows and enables conversation directly with your log management systems and data. This innovative capability is based on generative AI and designed to immediately accelerate and enhance your observability practices.
Through the power of the AI Agent, you can:
Leverage an automated chat interface to converse with your log management data to enable and inform investigation.
Automate manual log querying to empower in-depth analysis and enact intuitive, targeted response.
Enable less experienced analysts on your teams responsible for log management to immediately benefit from deep system insights and the inputs of experienced teammates.
How can I cut through high data volumes and reduce log management costs?
Logz.io offers numerous ways to reduce noisy data that needlessly drives up your overall costs. Our Data Optimization Hub allows users to easily identify and filter out unneeded data in a single UI.
Additionally, customers can distribute their data without significantly sacrificing availability to our cost-efficient Cold Tier for storage, depending on the data’s value and use case. Customers can also translate high-volume, lower value logs into more useful metrics through LogMetrics.
This way, we help enable an intelligent data pipeline that specifically empowers customers to:
- Segregate data based on its specific use case
- Optimize costs per data type and analysis requirements
- Maintain their most important data for troubleshooting
- Eliminate unnecessary data that will never be used
- Evolve data storage over time to suit changing needs
What features does Logz.io offer to accelerate MTTR?
Within Logz.io’s Log Management solutions are numerous capabilities that measurably reduce Mean Time to Response (MTTR) from production incidents or service degradations. Our querying time is 4-5 times faster with empty cache than open source solutions, which helps users get answers about their environment quickly.
One of today’s biggest log management challenges is the pervasive issue of too much noisy and useless data, driving up investigation times and increasing MTTR. Logz.io’s unique, AI-backed Data Optimization Hub makes it easy to remove noisy log data that obscures critical insights needed to troubleshoot quickly. Customers can further utilize Logz.io’s self-service tools or direct advice from our Support Engineers to identify and remove noisy data.
Logz.io Log Management is also fully integrated with our AI Agent technology that enables you to converse directly with your data and reduce MTTR by getting to the bottom of issues much faster.
What are the strengths and limitations of open source log management solutions?
As cloud-native technologies grow in popularity and add complexity to your environment, ease of integration is a key concern. Open source logging tools (think Fluentd, FluentBit, and OpenSearch) are helpful in this regard because they’re purpose-built to integrate with cloud-native environments.
Community-driven innovation, constant improvement at the hands of millions of developers, lack of upfront cost, avoiding vendor lock-in and integration with numerous observability backends are among the reasons why companies could choose open source.
However, open source does have its drawback for log management. While the software itself is free, there can be significant costs to maintaining and managing open source tools on your own. As your data volumes grow, you may need to add and manage more components in the pipeline, which can create growing costs in engineering maintenance hours.
How does Logz.io differ from open source or DIY log management solutions?
Logz.io log management and analytics service is deployed via SaaS – managed, scaled, supported and optimized on our highly-resilient AWS cloud infrastructure. Unlike self-hosted log management solutions, the cloud-native architectures of Logging as a Service (LaaS) platforms provide seamless scalability and eliminates manual maintenance.
A fully-managed SaaS provides all the support you need for your specific use cases — something open source or DIY/self-hosted solutions may not support, or not without significant customization. Additionally, open source technology licensing changes occur frequently, creating potential challenges. These are all important factors to consider when considering a log management SaaS or open source/DIY options.
Why is it so important to correlate logs with other telemetry?
Going back to the MTTR discussion, correlating logs with your other telemetry types (including metrics and traces) helps provide critical context when events, production issues or system latency are impacting your environment. The combination of observing logs, metrics and traces in your environment and having the ability to correlate them will put you on the path to full stack observability.
Finding these root causes of issues and quickly understanding how changes in production affect surrounding services are major reasons for telemetry correlation. By cross-referencing new deployments and configurations against your observability data, you can get to the bottom of issues faster and discover your path to resolution.
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