Log
Management
Find answers and remediate with
best-of-breed Log Management
Get immediate insights from your data with high-performance querying and search, accelerating troubleshooting by scanning through your log data in seconds. Save time and money, increasing your team’s productivity and reducing MTTR. Plus, Log Management is fully integrated with Observability IQ™ Assistant, our AI-backed copilot that enables you to converse directly with your data, transforming the entire process.
Converse with your data and get immediate answers with AI-backed logging
- Ask natural language questions using IQ Assistant, extending your reach with a virtual teammate
- AI-enabled root cause analysis automates investigation and resolution
- Logz.io uses human-coached AL/ML capabilities to uncover errors and exceptions that matter most
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
Zero-maintenance log collection and scaling
- 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 Log Management SaaS platform includes over 300+ out-of-the-box integrations to help you get going with log management faster
Log Management Purpose-Built to Reduce Costs
Data Optimization Hub provides a single place to inventory all incoming data, identify unused data, and filter out all unneeded log data – helping customers realize 30-50% cost reductions from filtered data. Toggle filters on and off to maintain complete control of data flow and costs.
Move your less valued data into a far less expensive storage based on Logz.io-hosted AWS S3 — without losing the ability to quickly query the data when needed. The flexible, cost-efficient data storage you need.
Any log data being visualized on dashboards can be converted to LogMetrics – dramatically reducing log indexing costs. For example, rather than indexing all of your HTTP 200 logs from a specific service, you can convert all of them into a single time-series metric – which is $.0004/month with Logz.io
Full visibility into your environment in
one place
- Unify your logs with metric and trace analytics for full visibility into the current state of your environment
- Correlate metrics and traces with the relevant logs to quickly debug problems
- Correlate changes in production with recent deployments to quickly roll back problematic code
or configs
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 Slack, Opsgenie, PagerDuty, email,
and other channels
What our customers say
“Logz.io’s alerting feature has been invaluable in identifying and addressing issues promptly. It has eliminated the need for extensive debugging and provided clarity on what needs to be fixed.”
Software Engineer for Zippi
What else can I do with Log Management?
Log Patterns
Alerts
Cognitive Insights
Application Insights
Live Tail
Data Optimizer
Volume Analysis
Cold Tier
Drop Filters
Sub Accounts
Role Based Access
Audit Trail
User Control
SSO
24/7 Support
Multi-Region/Cloud
Timeless Accounts
Data Parsing
API
Data Export
Reports
Logz.io Log Management FAQs
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.
At Logz.io we’ve introduced an AI-based assistant 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. Observability IQ Assistant is an innovative capability based in generative AI and designed to immediately accelerate and enhance your observability practices.
Through the power of IQ Assistant, 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.
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
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 Observability IQ™ Assistant, our AI-backed copilot that enables you to converse directly with your data and reduce MTTR by getting to the bottom of issues much faster.
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.
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.
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.