AI-Powered Insights
Automatically detect anomalies, surface root causes, and respond faster with AI-driven log analysis.
Log
Management
Struggling to keep up with log data growth? Running into high costs and slow troubleshooting?
How Logz.io Simplifies Log Management with AI
How Logz.io Simplifies Log Management with AI
Lightning-Fast Search
High performance querying, with a powerful AI Agent - 4-5x faster than other solutions.
Cost-Efficient Data Management
Dramatically reduce data handling and storage costs with Data Optimization Hub and Cold Tier.
Fully Managed and Scalable
Logz.io takes care of log ingestion, scaling, and security, so you can focus on what matters most.
Automate Troubleshooting with AI Agent Root Cause Analysis
- Automate investigations immediately after issue detection, reducing the time from discovery to response.
- Conduct context-aware analysis to identify event details including what happened, when, where and how.
- Generate detailed conclusions that summarize the issue, including recommended response steps.
Reduce MTTR and Troubleshoot Faster
- Quickly, easily, and effectively identify and debug issues with your logs, with AI-driven analysis and response steps.
- Use filters or auto-complete syntax to find the logs you need and drill in fast.
- Search speed in Logz.io is 4-5x faster than OpenSearch Dashboards.
- Communicate critical insights from your logging tools to every relevant stakeholder.
Empower Your Team
- AI Agent allows your team to ask natural language questions and receive instant, actionable insights — acting as an AI-powered teammate.
- Help junior team members access advanced system insights, boosting productivity across all skill levels.
- Automatically surface critical errors and anomalies with AI/ML, enabling your team to focus on high-priority tasks and faster problem resolution.
Maximize Efficiency and Minimize Costs
Cold Tier
- Move less frequently accessed data into cost-effective storage using Logz.io-hosted AWS S3.
- Retain the ability to quickly query stored data when needed.
- Provides flexible, scalable, and cost-efficient storage for lower-value data.
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.
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.
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.
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 across your entire stack.
- Track production changes alongside logs to spot problems and roll back problematic code or configurations efficiently.
Explore AI-Powered Log Management
Logs are essential for understanding what’s happening across your environment, but handling vast amounts of log data can be complex and costly.
What else can I do with Log Management?
Log Patterns
Easily identify recurring patterns in your log data to streamline your troubleshooting process.
Alerts
Be proactive! Use a built-in powerful alerting engine to get notified on critical events via email, Slack, or PagerDuty.
Cognitive Insights
Uncover otherwise overlooked events with the help of machine learning and crowdsourcing.
Application Insights
Leverage anomaly detection to identify new errors and exceptions thrown by your applications.
Live Tail
See a live feed of your data being streamed from different data sources, in real-time.
Data Optimizer
Aggregate and save important data. Automate the process by configuring processors, including thresholds and scheduling rules.
Volume Analysis
Keep tabs on how much data you’re shipping for optimizing costs.
Cold Tier
Move your less valued data into less-expensive storage based on Logz.io-hosted AWS S3
Drop Filters
Ship all the logs you want and decide which data to actually ingest.
AI-driven insights
Accelerate knowledge of the platform, informing key processes such as data integration, dashboard setup and creation of alerts.
Sub Accounts
Segregate your Logz.io account into sub accounts, each with its own data allowance and account token.
Role Based Access
Manage permissions for your team and decide who has what type of access to which feature.
Audit Trail
Monitor actions being performed in your account. Filter actions as you see fit and export as a .CSV file for sharing and future reference.
User Control
Add as many users to your Logz.io account as you see fit. The number of allowed users depends on your plan.
SSO
Simplify accessing Logz.io by using your organization’s credentials (AD, OKTA, OneLogin).
24/7 Support
Who’s going to answer the phone in the middle of the night? Logz.io has you covered with 24/7 in-app chat support.
Multi-Region/Cloud
Logz.io is available on different cloud providers and across regions. Just take your pick.
Timeless Accounts
Use dedicated accounts for storing important data for extended periods of time.
Data Parsing
Parsing as a service - with automatic and manual parsing features to make your data readable.
API
Use secure API to access your data and use the other capabilities offered by Logz.io. Programmatically query your data, create alerts, gain insights, and more.
Data Export
Export your log data to make it easier to share with your colleagues.
Reports
Schedule reports to track changes over time and meet compliance requirements.
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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