Sold by: KubeSense AIÂ
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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Features and programs
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.aiÂ
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)Â .
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 moreÂ
- 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-marketplaceÂ
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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Kernel Data Capture Technology
Non-invasive eBPF-based data capture directly from the kernel with enhanced efficiency and comprehensive coverage
AI-Powered Root Cause Analysis
Automated correlation and analysis of telemetry data using artificial intelligence for instant failure identification
Observability Platform Architecture
Scalable system capable of processing petabytes of data with minimal resource consumption and zero latency
Monitoring Capabilities
Comprehensive monitoring across Kubernetes, virtual machines, and serverless environments with multi-dimensional telemetry collection
Natural Language AI Assistant
DevOps LLM that provides complex SRE task resolution and instant alert response using natural language processing
Artificial Intelligence Analysis
Advanced AI agent that automates data analysis and accelerates root cause investigations
Telemetry Data Integration
Supports unified visibility across logs, metrics, and traces for cloud-native environments
Anomaly Detection
Real-time system anomaly detection to proactively prevent potential incidents
OpenTelemetry Compatibility
Flexible integration with OpenTelemetry standards for standardized observability pipelines
Multi-Architecture Support
Native compatibility with modern architectures including Kubernetes, serverless, and microservices environments
Instrumentation Technology
Utilizes eBPF for zero-code application monitoring and data collection across Kubernetes environments
Observability Scope
Comprehensive monitoring of logs, metrics, traces, and Kubernetes events from infrastructure to application layers
Data Privacy Architecture
In-cloud data collection architecture that maintains data privacy and security within the customer's cloud environment
Compliance Standards
Adheres to SOC Type-2 and ISO-27001 security compliance frameworks
Monitoring Coverage
Provides full-stack visibility across entire Kubernetes infrastructure without requiring code modifications
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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