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 complete 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 complete 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 |
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.
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eBPF-Based Data Capture
Non-invasive kernel-level data collection using eBPF technology enabling agent-less deployment with enhanced security and comprehensive telemetry coverage
Application Performance Monitoring
Instant APM capabilities for Kubernetes, virtual machines, and serverless environments with real-time performance visibility and metrics collection
AI-Powered Root Cause Analysis
Automated RCA functionality that correlates and analyzes complete telemetry data to identify failure causes and provide instant diagnostics
Large-Scale Data Processing
Capability to process petabytes of telemetry data with minimal resource consumption and negligible infrastructure overhead
Natural Language SRE Automation
LLM-based DevOps agent that interprets and executes complex SRE tasks through natural language queries and automated alert response
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.
eBPF-Based Instrumentation
Captures logs, metrics, and traces from Kubernetes environments without requiring code changes or modifications to applications.
Full-Stack Observability
Provides unified monitoring across infrastructure, application, and Kubernetes layers including logs, metrics, traces, and Kubernetes events in a single platform.
In-Cloud Data Architecture
Maintains data privacy and security by processing and storing observability data within the customer's cloud environment without external data transmission.
Kubernetes Stack Coverage
Delivers complete visibility across entire Kubernetes deployments with instant deployment and zero instrumentation overhead.
Compliance and Security Standards
Meets SOC type-2 and ISO-27001 compliance requirements for security and data handling.
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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