Sold by: KubeSense AI
Deployed on AWS
KubeSense is an LLM and eBPF-Powered observability platform that provides instant application performance monitoring (APM), log management, infrastructure monitoring, with AI RCA, AI Recommendations and AgentSRE capabilities.
Overview
KubeSense is an LLM and eBPF-Powered observability platform that provides instant application performance monitoring (APM), log management, infrastructure monitoring, with AI RCA, AI Recommendations and AgentSRE capabilities.
KEY DIFFERENTIATORS: AI-First Observability: AI-powered RCA and AI-driven solution recommendations significantly reduce issue identification and resolution times. DevOps LLM or AgentSRE helps answer even complex SRE tasks in natural language and addresses every alert instantly.
Cost-Effective Observability: KubeSense AI helps reduce observability significantly compared to legacy tools through it's advanced and powerful tech for telemetry.
Agent-less & Kernel Data Capture: Our non-invasive, eBPF-based data capture directly from the kernel offers superior efficiency, enhanced security, and comprehensive coverage with instant deployment.
Efficient and Scalable: Built with the latest technology, KubeSense scales to process petabytes of data with minimal resource consumption, negligible infrastructure overhead, and zero latency.
Highlights
- Instant eBPF Observability for Application Performance Monitoring (APM), log management and infrastructure monitoring with AI RCA (AI Root Cause Analysis), DevOps LLM and AgentSRE. AI RCA provides instant RCA for failures by correlating and analysing entire telemetry data. With KubeSense you achieve instant observability for kubernetes monitoring or VMs monitoring (virtual machines monitoring) or fargate monitoring (serverless monitoring).
- KubeSense processes petabytes of telemetry data at a fraction of infra costs in comparison and helps save significantly on the total observability cost.
- Instant Application Performance Monitoring (APM), log management, log aggregation, log transformation, infrastructure monitoring, with instant AI RCA (AI Root Cause Analysis), DevOps LLM (DevOpsLLM) or Agent SRE (AgentSRE) or SREAgent that answers even complex SRE tasks in natural language.
Details
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Delivery method
Supported services
Delivery option
Kubesense Deployment
Latest version
Operating system
Linux
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
20$ per node | $20.00 |
Dimensions summary
You pay a single per-node rate. Pricing scales with the number of nodes you monitor, not the volume of telemetry data you collect. Each node you add increases your cost by the same fixed amount, so your bill grows in step with your monitored infrastructure. Because billing ties to nodes rather than data, adding more logs, metrics, or traces on a given node does not raise the price for that node. This is a usage-based structure with one dimension and no separate tiers or feature-based charges.
Top-of-mind questions for buyers
A node is a host machine you monitor, such as a Kubernetes node, virtual machine, EC2 instance, container host, or bare-metal server. The platform deploys a lightweight sensor on each node. Each running host you observe counts as one node, regardless of how many services or containers run on it.
No. Billing ties to the number of nodes, not data volume. Because the platform is self-hosted and runs in your environment, telemetry data stays with you. You can capture logs, metrics, traces, and 25+ protocols on a node without increasing that node's cost.
Cost changes automatically with your node count. Each node you add raises your bill by the same per-node rate. Removing a node lowers it by that same amount. There are no tiers or thresholds, so the rate stays fixed regardless of how many nodes you run.
docs.kubesense.ai
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Vendor refund policy
For refund raise request to support@kubesense.ai
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Kubesense Deployment
Supported services: Learn more
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Add Masking for logs and traces. Add resource path search on trace summary view. Add additional filters in service map trace connections. UI improvements on workload screens. Performance optimisations on metrics scrapper. Update helm values to use global values for image registry and pullSecrets Bug fixes.
Additional details
Usage instructions
For customizing deployment, follow https://docs.kubesense.ai/installing-kubesense/aws-marketplace
Resources
Vendor resources
Support
Vendor support
KubeSense provides different support levels depending on your subscription plan. Below are the response times for each plan:
Start-Up Plan: Response within one business day. Growth Plan: Response within four business hours. Enterprise Plan: Response within one business hour, along with dedicated technical support.
This structure ensures that customers receive the appropriate level of support based on their needs.
AWS infrastructure support
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.
Updated weekly
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In Application Performance and UX Monitoring, Log Management, Monitoring and Observability
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In Generative AI, Log Analysis
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In Monitoring and Observability
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eBPF-Based Data Capture
Non-invasive kernel-level data capture using eBPF technology enabling agent-less deployment with enhanced security and comprehensive telemetry collection.
AI-Powered Root Cause Analysis
Automated root cause analysis through AI correlation and analysis of entire telemetry datasets to identify failure origins and provide instant diagnostics.
Application Performance Monitoring
Comprehensive APM capabilities including application performance tracking, log management, log aggregation, log transformation, and infrastructure monitoring across Kubernetes, virtual machines, and serverless environments.
Large-Scale Data Processing
Capability to process petabytes of telemetry data with minimal resource consumption, negligible infrastructure overhead, and zero latency impact.
Natural Language SRE Automation
DevOps LLM and AgentSRE capabilities that process complex site reliability engineering tasks and alert responses using natural language interfaces.
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.
Multi-Cloud Environment Integration
Unified monitoring across AWS services including Lambda and ECS, alongside five other leading cloud providers for complete visibility across multi-cloud infrastructure.
Real-Time Anomaly Detection and Root Cause Analysis
Advanced anomaly detection with automated root-cause analysis and real-time dependency mapping to visualize connections between logs, networks, hosts, and services.
Unified Observability Data Collection
Centralized consolidation of metrics, logs, and traces across infrastructure, applications, and third-party services into a single platform.
SLO and SLA Monitoring
Real-time tracking and monitoring of critical Service Level Objectives and Service Level Agreements with automated alerts for regional issues and abnormal performance trends.
Interactive Visualization and Full-Stack Visibility
Interactive visualizations providing full-stack visibility across multi-domain monitoring including logs, hosts, network performance, and application metrics.
Validated by AWS Marketplace
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ISO/IEC 27001
PCI DSS
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