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Logz.io Open 360™ observability platform, powered by the AI Agent, delivers 3x faster system recovery, 70% less troubleshooting time, and 32% lower costs for cloud-native teams.
4.5
Overview
The Logz.io Open 360™ observability platform simplifies monitoring, troubleshooting, and cost management for cloud-native environments. At its core is the Logz.io AI Agent, a cutting-edge virtual teammate that automates data analysis, accelerates root cause investigations, and delivers actionable insights. By leveraging advanced AI, Open 360 helps teams achieve 3x faster system recovery, reduce troubleshooting time by 70%, and cut telemetry costs by an average of 32%.
Built for modern architectures like Kubernetes, serverless, and microservices, Open 360 provides seamless visibility across logs, metrics, and traces. The AI Agent empowers teams to ask natural language questions, surface critical anomalies, and automate manual processes, transforming traditional observability into a streamlined, high value experience. Whether validating deployments, detecting performance bottlenecks, or resolving incidents, Open 360 equips engineering teams to perform at their best.
Key features include:
AI Powered Root Cause Analysis:Automatically investigate alerts and pinpoint causes with 5x faster root cause analysis.
Conversational Data Interaction: Use natural language to query data, identify issues, and receive actionable insights.
Proactive Anomaly Detection: Realtime detection of system anomalies to prevent incidents before they impact users.
Flexible OpenTelemetry Integration: Standardize observability pipelines for unified data collection and scalability.
Cost Optimization: Achieve between 30% to 50% cost savings with multitiered storage and data management tailored to your needs.
Logz.io customers span industries like e-commerce, SaaS, and financial services, where reliability and cost efficiency are critical. For example, Dish Network optimized their telemetry pipeline to cut data and costs by 62%, while other customers have significantly reduced incident response times and improved deployment confidence.
Unlike traditional observability tools, Open 360 combines cutting edge AI with a focus on data efficiency to deliver smarter, faster, and more scalable observability. Whether you're scaling operations, managing growing telemetry volumes, or adopting OpenTelemetry, Logz.io empowers your team to deliver exceptional results with confidence.
Highlights
- AI Agent for Observability: Automates root cause analysis, surfaces actionable insights, and delivers 70% faster issue resolution to improve system reliability.
- Cost Optimization: Achieve between 30% to 50% savings on telemetry costs with multi-tiered storage and flexible pricing, helping you control budgets while scaling.
- Unified Visibility Across Logs, Metrics, and Traces: Seamlessly monitor cloud-native environments like Kubernetes and microservices in one platform.
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Pricing
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Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Cost savings % |
|---|---|---|---|
2GB Daily | 2GB Daily Ingested with 14 Days retention | $85.00 | 0% |
5GB Daily | 5GB Daily Ingested with 14 days retention | $214.00 | 0% |
10GB Daily | 10GB Daily Ingested with 14 days retention | $428.00 | 0% |
15GB Daily | 15GB Daily Ingested with 14 days retention | $643.00 | 0% |
20GB Daily | 20GB Daily Ingested with 14 days retention | $857.00 | 0% |
25GB Daily | 25GB Daily Ingested with 14 days retention | $1,071.00 | 0% |
30GB Daily | 30GB Daily Ingested with 14 days retention | $1,285.00 | 0% |
2GB Daily - 7 days | 2GB Daily volume with 7 days retention | $67.00 | 0% |
20GB Daily Special | 20GB Daily with 14 days retention (Sept 2020) | $745.00 | 11% |
5GB Daily - 7 days | 5GB Daily volume with 7 days retention | $168.00 | 0% |
Dimensions summary
You buy this platform as a contract based on daily data volume, measured in GB ingested per day. Most options pair a daily GB tier from 2GB up to 30GB with a set retention period, commonly 7, 14, or 30 days. Longer retention or more volume moves you to a different option. Some options add capabilities to the base log volume: SIEM security monitoring, unique metrics counts (3K, 10K, 125K), or mixed retention across data sets. This lets you match a subscription to your expected daily data and how long you keep it.
Top-of-mind questions for buyers
One GB is the amount of log data you send to the platform per day, measured on ingestion. Your committed daily volume is checked against the actual data ingested each day. When an option lists metrics, those count unique time-series measurements separately, such as CPU or memory for one machine.
You can still send data beyond your committed daily volume. The excess is charged at On Demand pricing, which is 1.4x your subscription rate. Each day's actual ingested volume is compared to your commitment, and the total difference is calculated and invoiced at the end of the month.
Each option bundles its capabilities into one subscription. Log volume is billed per GB ingested. Added SIEM security monitoring is also priced on log data volume and retention. Unique metrics counts, such as 3K, 10K, or 125K, are billed separately as time-series metrics. All parts apply within the same subscription.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
At Logz.io, we are dedicated to providing exceptional support to ensure your observability journey is seamless and successful. Our comprehensive support offerings and recognition from users and industry platforms reflect our commitment to customer satisfaction.
Support Offerings:
24/7 In App Support: Access our global team anytime for prompt, effective assistance directly through the platform.
Parsing as a Service: Let our experts handle log parsing when automatic methods are not feasible, streamlining data integration.
Data Shipping Guidance: Get personalized advice on the best data shipping methods, tailored to your specific needs.
Data Storage Optimization: Save costs with our assistance in configuring features like the Data Optimization Hub.
Customer Testimonials: Our customers consistently praise our knowledgeable and responsive support:
"Any time I get stuck I have an instant way to communicate with support. They are immediately responsive, even late at night."
"The special thing is the support. The team is fast, understanding, and patient, even helping with regex expressions."
"Logz.io has the best support I have encountered, from initial proof of concept onward."
Industry Recognition:
Logz.io has earned key G2 badges, including:
Best Support
Easiest Admin
Easiest Setup
Easiest to Use
Easiest to Do Business With
Fastest Implementation
These accolades highlight our commitment to delivering a user friendly, highly effective experience backed by unparalleled customer support. We are here to help at every step, ensuring you get the most from Logz.io.
Contact us:
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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In Generative AI, Log Analysis
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In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
AI-Powered Root Cause Analysis
Automatically investigates alerts and pinpoints root causes with 5x faster analysis capabilities.
Natural Language Query Interface
Enables querying of observability data using conversational natural language to identify issues and receive actionable insights.
Real-Time Anomaly Detection
Detects system anomalies in real-time to prevent incidents before they impact users.
OpenTelemetry Integration
Supports standardized OpenTelemetry integration for unified data collection across logs, metrics, and traces in cloud-native environments including Kubernetes, serverless, and microservices.
Multi-Tiered Storage Architecture
Implements multi-tiered storage and data management capabilities to optimize telemetry costs and achieve 30% to 50% cost savings.
Full-Stack Observability
End-to-end monitoring of AWS applications and infrastructure from code level insights to end-user tracing with robust configuration options
AI-Powered Root Cause Analysis
Davis AI engine performs precise root cause analysis showing causation and correlation to drive automated remediation and reduce mean time to resolution
Generative AI Application Monitoring
Real-time monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with cost optimization, hallucination detection, and PII leakage guardrails
Runtime Application Security
Built-in Runtime Application Self-Protection that autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
AWS Native Integration
Out-of-the-box compatibility with 100+ AWS native technologies including EC2, Lambda, ECS, EKS, Fargate, Bedrock, and EventBridge for correlated event and performance analysis
Data Ingestion and Query Performance
Ingests petabytes of telemetry per day with capability to process hundreds of terabytes and execute tens of millions of queries daily without performance degradation
Knowledge Graph Architecture
Utilizes O11y Knowledge Graph to structure and correlate data across logs, metrics, and traces for fast search and correlation capabilities
Natural Language Processing for Incident Analysis
Enables troubleshooting of complex incidents using natural language queries through O11y AI for accelerated root cause analysis
Open Data Lake Foundation
Built on Snowflake data lake architecture providing open data storage without vendor lock-in
Multi-Signal Correlation
Correlates and correlates telemetry signals across logs, metrics, and traces with context-aware analysis for incident resolution
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Customer reviews
Udit Parekh
Centralized logs have improved troubleshooting and now reduce production incident impact
Reviewed on Jun 10, 2026
Review from a verified AWS customer
What is our primary use case?
We have been using Logz.io for more than one year.
Our main use case for Logz.io is centralized log management and observability. We collect logs from multiple applications and infrastructure components, which allows our team to troubleshoot issues quickly.
A recent example involved an API that failed in our production environment. We have multiple Java services running and communicating with each other, and users were reporting transaction failures. Using Logz.io, we had all the logs centralized, so our developers quickly identified the database connection pool issue and fixed it without delay. This helped in finding the root cause very significantly.
Beyond troubleshooting, we also use Logz.io for proactive monitoring, alerting, and security investigation. It has become one of our primary tools that our operation teams rely on daily.
How has it helped my organization?
Logz.io has impacted our organization very positively. It has improved our visibility across our systems and cloud resources, and it has reduced the effort of finding the root cause. It has also reduced manual effort of troubleshooting and helped us to identify issues before they impacted customers.
We have experienced approximately 40 to 50% reduction in troubleshooting time and it has fastened the process of incident response during production outages.
What is most valuable?
The best features of Logz.io are the centralized log aggregation, fast search and filtering capabilities, and their support for OpenTelemetry. Their dashboards and visualization are very good.
The main feature is the centralized log management, which has the biggest impact in our organization. Having logs from all the services and infrastructure in one place reduces our troubleshooting time and also improves incident response.
Logz.io is particularly useful because it scales well as environments grow. Adding new services and applications is very straightforward compared to maintaining self-hosted logging solutions.
What needs improvement?
Logz.io can be improved by adding more AI-assisted root cause analysis and by improving log retention flexibility. They can also provide additional dashboard customization options.
Logz.io is a very mature and grown platform with very good features. Most improvements should be around automation, AI-driven insights, and cost visibility.
Because Logz.io is a very mature and grown platform that is very good, cost optimization can be made for higher costs related to higher log volumes. For larger organizations, custom dashboards can be improved. In terms of root cause analysis, there can be more AI-assisted root cause analysis capabilities.
For how long have I used the solution?
We have been using Logz.io for more than one year.
What do I think about the stability of the solution?
We have found that Logz.io is reliable and available for our operational needs.
What do I think about the scalability of the solution?
Logz.io handles the growing log volumes and additional services very well without requiring major architectural changes from our side.
How are customer service and support?
Customer support is very good. The team is very responsive and knowledgeable whenever we need their assistance.
Which solution did I use previously and why did I switch?
We previously relied on self-managed ELK and also used CloudWatch Logs for some workloads. Managing and scaling a self-hosted logging platform requires significant operational effort. We wanted to switch to a managed solution with better observability capabilities and reduce our maintenance overhead.
How was the initial setup?
The setup process is straightforward. Pricing is competitive compared to building and maintaining a self-hosted observability stack, especially when factoring in operational effort.
What about the implementation team?
We directly procured Logz.io through their company.
What was our ROI?
The biggest ROI comes from the reduced troubleshooting effort, less time spent managing logging infrastructure, and faster issue resolution. It has also improved our system's reliability.
What's my experience with pricing, setup cost, and licensing?
Organizations that start with clear logging standards and retention policies can integrate applications, cloud resources, and Kubernetes workloads early to maximize the observability benefits. They can monitor log ingestion costs as their environment grows.
Which other solutions did I evaluate?
Before Logz.io, we also evaluated DataDog, Sumo Logic, and New Relic platforms.
What other advice do I have?
Our review rating for Logz.io is 8 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Veterinary
An amazing hosted Grafana service
Reviewed on Feb 21, 2025
Review provided by G2
What do you like best about the product?
Logz.io provides extensive customisation options, custom alerting and plenty of data sources, all at an affordable price. Their Support Team is excellent - both knowledgeable and polite. We have never experienced any significant downtime and the service is very fast.
What do you dislike about the product?
I can't think of any major things I dislike about Logz.io. We did have an annoying issue when setting up two-factor authentication for a couple of specific users, but their Support Team helped us go around it. Also, keep in mind they will throttle your metrics ingestion if you have a data spike (though I would imagine most services would do the same), but that is a rare occurrence for us.
What problems is the product solving and how is that benefiting you?
Monitor software and hardware health across hundreds of Windows hosts around the world.
Telecommunications
Finding the needle in a haystack...
Reviewed on Feb 18, 2025
Review provided by G2
What do you like best about the product?
The ability to pull in all the logs and to look for issues, concerns, and common occurrences that can be flagged and actioned immediately. Also, to create automated reports of concerns for review. Customer support has always been quick, helpful and the team knowledgeable.
What do you dislike about the product?
Sometimes it is not easy to set-up the alerts/reports you need due to the complexity of the data and at times you need to dig into the data to figure out how to break it down.
What problems is the product solving and how is that benefiting you?
Allows us to be proactive when certain security chnages are made - to verify the changes are approved / needed / required.
Banking
logzio - one stop solution
Reviewed on Jan 31, 2025
Review provided by G2
What do you like best about the product?
A centralized place to collect all logs. Graphs and visualizations for searching are very useful. Clear logs and the ability to expand more whenever needed. We can also check surrounding logs. Easy integration of open-source tools using AI-powered features. My developer life becomes easy, as it has become part of day-to-day activity.
What do you dislike about the product?
I don't like Logz.io from any angle.
What problems is the product solving and how is that benefiting you?
Logz is a comprehensive solution for managing all application logs and metrics.
Niran Y.
A very useful and versatile logging system
Reviewed on Jan 29, 2025
Review provided by G2
What do you like best about the product?
Logz.io is evolving and adding new features that improve functionality and adapt to our needs.
Many integrations are supported out of the box. We use it daily.
Many integrations are supported out of the box. We use it daily.
What do you dislike about the product?
While the platform is generally great, a few minor areas could use further refinement, particularly around alert adjustments and configs.
What problems is the product solving and how is that benefiting you?
Logz.io solves our challenges around centralized logging, monitoring, and anomaly detection. With the platform, we can quickly detect issues, improve our system's reliability, and make data-driven decisions faster. The powerful integrations and ease of use have saved us time and resources.