
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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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% |
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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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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.
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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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Customer reviews
Centralized logs have improved troubleshooting and now reduce production incident impact
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?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
An amazing hosted Grafana service
Finding the needle in a haystack...
logzio - one stop solution
A very useful and versatile logging system
Many integrations are supported out of the box. We use it daily.