---
title: Debugging Application in Kubernetes | Step by Step Guide
description: Debugging application running in Kubernetes with guidelines, benefits, and tools for debugging on Kubernetes and docker container.
image: https://www.xenonstack.com/hubfs/xenonstack-debug-application-running-in-kubernetes.png
---

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      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/our-purpose-line-icon.svg) Akira AI - Reasoning and Agent Orchestration Turn models into collaborative, policy-governed agents that learn and act together](https://www.xenonstack.com/agentic-platforms/akira-ai/)
      
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      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-migration.svg) Databricks AI Agents AI agents for automated data workflows and insights on Databricks](https://www.xenonstack.com/ai-agents/databricks-ai-agents/)
      
      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-application-modernization.svg) ServiceNow AI Agents AI workflows to streamline service, incident, and operations automation](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/)
      
      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devsecops.svg) Jira/Project Management Agents AI agents for backlog grooming, sprint planning, and real-time project visibility](https://www.xenonstack.com/ai-agents/jira-agents-actions/)
      
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      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-kubernetes.svg) IncidentOps — AI-Driven Site Reliability Resolve incidents faster with AI-led triage, contextual RCA, and adaptive recovery](https://www.xenonstack.com/ai-agents/sre-reimagined/)
      
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    - Industries
      
      Industries
      
      Industry blueprints showcasing agentic transformation, real-world impact, and measurable outcomes across key sectors

      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-computer-vision.svg) Aerospace and Defense Autonomous flight systems and predictive maintenance powered by AI](https://www.xenonstack.com/industries/aerospace/)
      
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      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-platform-engineering.svg) Retail and Supply Chain Autonomous retail analytics enhancing operations, engagement, and forecasting accuracy](https://www.xenonstack.com/industries/retail/)
      
      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-healthcare.svg) Travel – Hospitality – Guest Experience Agentic systems delivering personalized guest journeys with contextual intelligence](https://www.xenonstack.com/industries/travel-hospitality/)
    - Resources
      
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      Explore insights, success stories, and learning programs that build knowledge and strengthen the AI transformation journey

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      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-journey-about-us.svg) About Us Discover our mission, story, and the values driving our innovation and impact](https://www.xenonstack.com/about-us/)
      
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      [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-public-safety.svg) Leadership Team Meet the visionary leaders guiding Xenonstack’s strategic direction and innovation](https://www.xenonstack.com/about-us/leadership-team/)
      
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[Kubernetes](https://www.xenonstack.com/blog/tag/kubernetes)

# Debugging Application in Kubernetes | Step by Step Guide

[Navdeep Singh Gill](https://www.xenonstack.com/blog/author/navdeep-singh-gill) | 22 August 2024

## What are Kubernetes Containers?

 In order to debug application running in it, first, it is necessary to understand it and Docker containers. So, let’s start with a quick introduction:

- It is nothing but a container orchestration platform; it is an open-source platform for application scaling, management, and deployment. Automation application deployment, scaling, and power is the aim of it.
- Google developed it in 2014, and they have contributed now cloud-native computing foundation, which is managed by it currently. The reason everyone wants to use it is that it is more flexible.
- If you have more and more servers on that time, we have to challenge ourselves to manage all containers and how we get an idea about that and how we know which application is running on which server for reducing this complication we used it.

---

> An open-source system, developed by Google, an orchestration engine for managing containerized applications over a cluster of machines. Click to explore about our, [Kubernetes Deployment Tools and Best Practices](https://www.xenonstack.com/insights/kubernetes-deployment)

## What are Docker Container?

- It is just a platform to build, ship and run its containers. It is a container orchestration open-source platform for Docker containers that is larger than Docker Swarm.
- Microservices connect with both. And both are used as the open-source platform. It is a tool designed to make it easier to create, deploy and run the application by using containers so that one can debug application running in it easily.

---

## What are its key features?

The key features of Kubernetes are listed below:

### Horizontal Scaling

 It can scale horizontally and lets us deploy a pod and different containers. Your containers can be scaled when you have it configured automatically for debugging applications in it.

### Self Healing

 It has self-healing capabilities; also, it is the best feature for it. It automatically restarts the container.

### Automated Scheduling

 Automated Scheduling is a feature of [Managed Kubernetes](https://www.xenonstack.com/insights/kubernetes-benefits). Its scheduler is a critical part of the platform. Matchmaking a pod with a node Scheduler is responsible for that. ![Features of Kubernetes](https://www.xenonstack.com/hubfs/xenonstack-features-of-kubernetes.png)

### Load Balancing

 Load distribution is load balancing; at the dispatch level, it is easy to implement.

### Rollback and Rollout Automatically

 It is also a useful feature for rollout and rollbacks any change according to the requirement. If something goes wrong, it will be helpful for rollback and for any change update it is useful for rollout also after performing debug application running in its process.

### Storage Orchestration

 It is also the best feature that we can mount the storage system according to our wish. Many more features are available in it that are mentioned in the above diagram.

---

> Event-driven and serverless architecture are defining a new generation of apps and microservices.  Source: [Event-Driven Autoscaling (KEDA)](https://www.xenonstack.com/blog/kubernetes-based-event-driven-autoscaling-keda/)

---

## What are its components and architecture?

 It used a client-server architecture in diagram master play role as server and node play role as a client. It is a possible multi-master or server setup by which there is only a single master server that plays the role of controlling the client/node. The server and client consist of various components. That describes the following: ![Debug in Kubernetes Architecture](https://www.xenonstack.com/hubfs/xenonstack-debug-in-kubernetes-architecture.png)

### Master/Server Component

 A primary and vital component of the master node is the following:

#### Kubernetes Scheduler

It iss a critical part of the platform. Matchmaking a pod with a node, Scheduler is responsible for that. It schedules on the best fit node after reading the requirements of the service.

#### Controller-Manager

 For managing controller processes with dependencies on the underlying cloud provider, the cloud controller manager is responsible. For example, when a controller requires to check volume in the cloud infrastructure or load balancer, these are handled by the cloud controller manager. Some time needs to check if a node was terminated or set up routes, then this is also governed by them.

#### Controller Manager

 Cloud control manager and Kube controller manager both are different from each other there also working differently while debugging applications in [Kubernetes architecture](https://www.xenonstack.com/blog/kubernetes-architecture-components/).

#### etcd Cluster

 It helps us to aggregate our available resources; basically, it is a collection of servers/hosts. It is only accessible for security reasons and from the API server. It stores the configuration details.

### Client/Node Component

The vital components of the Client/Node node is the following:

#### Pod

 A pod is a collection of containers. Containers can not run directly by it. Any container will share the same resources and the local network in the same pod; the container can easily communicate with each other container in a pod.

#### Kubelet

 It is responsible for maintaining all pods in which contain the set of containers. It works to insure that pods and their containers are running in the right state, and all are healthy.

---

> Service-Oriented Architecture is helping businesses respond more quickly and more efficiently to changing market conditions. Click to explore about our, [Service-Oriented Architecture](https://www.xenonstack.com/insights/service-oriented-architecture)

## Debugging and Developing services locally in Kubernetes

 Debugging on Kubernetes consists of different services. Each service is running in its container. Developing and to debug applications running in its clusters can be large and heavy, for this requires us to have a shell on a running container after then all your tools running in the remote body. Telepresence is a tool for debugging applications in it locally without any difficulty. Telepresence allows us to use custom tools like IDE and debugger. This document describes the telepresence used for debugging and developing services that are running on a cluster locally. The debugging and developing services need to install its cluster telepresence and must also be installed.

---

## How to Develop and Debug existing services?

 We make the program or debug a single service when developing an application on it. These services required other services to debug application running in it and testing. With the telepresence, Kube proxy uses the –swap-deployment option to swap an existing deployment. Swapping allows us to connect to the remote cluster and will enable us to run a service locally by debugging applications in it.

---

> The IT industry is now quickly moving towards using containers in software development. Click to explore about our, [Set up Jenkins on Kubernetes Cluster](https://www.xenonstack.com/insights/setup-jenkins-kubernetes)

## What are its benefits and limitations?

The below are the highlighted benefits and limitations:

### Benefits of Debugging in Kubernetes

 It is the best advantage that now developers can use other [Kubernetes Security Guide](https://www.xenonstack.com/insights/kubernetes-security-guide/) for debugging on it like in the Armador repo, use the telepresence tool as well as using Ksync & Squash to debug the application. ![Debug Kubernetes Benefits](https://www.xenonstack.com/hubfs/xenonstack-debug-kubernetes-benefits.png)

### Limitations of Debugging in Kubernetes

- It is a standard part of the process and development lifecycle that Every developer debug locally. But when it comes to it, then this approach becomes more difficult.
- It has its orchestration mechanism and optimization methodologies when Developers can debug microservices hosted by cloud providers. But that methodology to debug application running in it made great. But it makes debugging applications in Kubernetes more difficult.

## Conclusion

[Kubernetes deployment](https://www.xenonstack.com/insights/kubernetes-deployment/) is a concept of pods; pods are nothing but nodes which are nothing but servers where different content can be deployed in a pod. You can have a single container or multiple containers. Pods contain more containers. It can group containers that make up an application into logical units for easy management and discovery by this it identify how many nodes are there.

- Discover here about [PostgreSQL Deployment in Kubernetes](https://www.xenonstack.com/blog/postgresql-deployment)
- Click to know about [Deploying Java Microservices Applications](https://www.xenonstack.com/blog/java-jenkins-pipeline)

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## Explore Related Topics

[Decision Intelligence](https://www.xenonstack.com/blog/tag/decision-intelligence)

[Cloud Native Applications](https://www.xenonstack.com/blog/tag/cloud-native-applications)

[Generative AI](https://www.xenonstack.com/blog/tag/generative-ai)

[Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering)

[FinOps](https://www.xenonstack.com/blog/tag/finops)

[Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry)

[XAI](https://www.xenonstack.com/blog/tag/xai)

[Autonomous Agents](https://www.xenonstack.com/blog/tag/autonomous-agents)

[MetaSecure AI](https://www.xenonstack.com/blog/tag/metasecure-ai)

![navdeep-singh-gill](https://www.xenonstack.com/hubfs/navdeep-gill-ceo-xenonstack.svg)

## Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

[Explore More by Navdeep Singh Gill ![cta-blue-arrow](https://www.xenonstack.com/hubfs/cta-arrow-blue.svg)](https://www.xenonstack.com/blog/author/navdeep-singh-gill)

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## Related Articles

![Kubernetes Operators and Framework | Quick Guide](https://www.xenonstack.com/hs-fs/hubfs/kubernetes-operators-framework.png?width=1200&height=675&name=kubernetes-operators-framework.png)

### [Kubernetes Operators and Framework | Quick Guide](https://www.xenonstack.com/blog/kubernetes-operators)

23 September 2024

![Event Driven Architecture and its Microservices | The Comprehensive Guide](https://www.xenonstack.com/hs-fs/hubfs/event-driven-architecture-microservices.png?width=1200&height=675&name=event-driven-architecture-microservices.png)

### [Event Driven Architecture and its Microservices | The Comprehensive Guide](https://www.xenonstack.com/blog/event-driven-architecture)

30 August 2024

![KEDA (Kubernetes Event-driven Autoscaling)](https://www.xenonstack.com/hs-fs/hubfs/kubernetes-event-driven-autoscaling.png?width=1200&height=675&name=kubernetes-event-driven-autoscaling.png)

### [KEDA (Kubernetes Event-driven Autoscaling)](https://www.xenonstack.com/blog/kubernetes-event-driven-autoscaling)

08 October 2024

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XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance.

[![Youtube](https://www.xenonstack.com/hubfs/xs-footer-social-icons/youtube-icon.svg)](https://www.youtube.com/c/XenonStackOfficial) [![LinkedIn](https://www.xenonstack.com/hubfs/xs-footer-social-icons/linkedin-icon.svg)](https://www.linkedin.com/company/xenonstack/) [![Github](https://www.xenonstack.com/hubfs/xs-footer-social-icons/github-icon.svg)](https://github.com/xenonstack) [![Twitter](https://www.xenonstack.com/hubfs/xs-footer-social-icons/twitter-icon.svg)](https://twitter.com/xenonstack) [![Medium](https://www.xenonstack.com/hubfs/xs-footer-social-icons/medium-icon.svg)](https://medium.com/@xenonstack) [![Instagram](https://www.xenonstack.com/hubfs/xs-footer-social-icons/instagram-icon.svg)](https://www.instagram.com/teamxenonstack/)

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## AI Engineering

[Composite AI](https://www.xenonstack.com/artificial-intelligence/composite-ai/) [Decision AI](https://www.xenonstack.com/artificial-intelligence/decision-ai/) [AI Quality](https://www.xenonstack.com/artificial-intelligence/ai-quality/) [Generative AI](https://www.xenonstack.com/artificial-intelligence/generative-ai/) [Multimodal AI](https://www.xenonstack.com/artificial-intelligence/multimodal-ai/) [AI Assurance](https://www.xenonstack.com/artificial-intelligence/explainable-ai/) [MLOps](https://www.xenonstack.com/artificial-intelligence/mlops/) [Physical AI](https://www.xenonstack.com/artificial-intelligence/physical-ai/) [Augmented Engineering](https://www.xenonstack.com/artificial-intelligence/ai-augmented-software-development/) [Generative BI](https://www.xenonstack.com/artificial-intelligence/generative-bi/)

## Data Foundry

[Streaming Data Platform](https://www.xenonstack.com/dataops/streaming-data-platform/) [Data Lakehouse](https://www.xenonstack.com/dataops/delta-lake/) [Data Catalog](https://www.xenonstack.com/dataops/data-catalog/) [Data Observability](https://www.xenonstack.com/dataops/data-observability/) [Cloud Data Warehouse](https://www.xenonstack.com/dataops/cloud-data-warehouse/) [Data Engineering](https://www.xenonstack.com/dataops/data-engineering/) [MetaData Management](https://www.xenonstack.com/dataops/metadata-management/) [Data Quality](https://www.xenonstack.com/dataops/augmented-data-quality/) [Real Time Analytics](https://www.xenonstack.com/dataops/real-time-analytics/) [Data Modernization](https://www.xenonstack.com/dataops/data-modernization/)

## Platform Engineering

[Cloud Native](https://www.xenonstack.com/cloud-native/platform-engineering/) [Automation As Code](https://www.xenonstack.com/cloud-native/automation-as-code/) [Observability](https://www.xenonstack.com/cloud-native/observability/) [FinOps](https://www.xenonstack.com/cloud-native/finops/) [Application Modernization](https://www.xenonstack.com/cloud-native/application-modernization/) [DevSecOps](https://www.xenonstack.com/cloud-native/devsecops/) [Site Reliability Engineering](https://www.xenonstack.com/cloud-native/site-reliability-engineering/) [Progressive Delivery](https://www.xenonstack.com/cloud-native/progressive-delivery/) [GitOps](https://www.xenonstack.com/cloud-native/gitops/) [Compliance as code](https://www.xenonstack.com/cloud-native/compliance-as-code/) [Value Stream Management](https://www.xenonstack.com/cloud-native/value-stream-management/) [Policy as Code](https://www.xenonstack.com/cloud-native/policy-as-code/) [Telemetry Pipeline](https://www.xenonstack.com/cloud-native/telemetry-pipeline/)

## Agentic AI

[Agentic Analytics](https://www.xenonstack.com/agentic-ai/enterprise-systems/) [Agentic AI Systems](https://www.xenonstack.com/agentic-ai/agentic-ai-system/) [Process Intelligence](https://www.xenonstack.com/agentic-ai/business-process-operations/) [Developer Experience](https://www.xenonstack.com/agentic-ai/developer-experience-platform/) [Autonomous Operations](https://www.xenonstack.com/agentic-ai/autonomous-operations/) [AI Vision at EDGE](https://www.xenonstack.com/agentic-ai/edge-and-vision-ai/) [Compound AI System](https://www.xenonstack.com/agentic-ai/compound-ai-system/) [GUI Agents](https://www.xenonstack.com/agetic-ai/gui-agents/) [CMDB Management](https://www.xenonstack.com/agentic-ai/cmdb-management/) [ITSM](https://www.xenonstack.com/agentic-ai/itsm/) [Network Automation](https://www.xenonstack.com/agentic-ai/network-automation/)

## AI Agents

[DataBricks AI Agents](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [SnowFlake AI Agents](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [ServiceNow AI Agents](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [AWS AI Agents](https://www.xenonstack.com/ai-agents/aws-ai-agents/) [Microsoft Azure AI Agents](https://www.xenonstack.com/ai-agents/microsoft-azure-ai-agents-actions/) [SalesForce AI Agents](https://www.xenonstack.com/ai-agents/salesforce-agents-actions/) [MySQL AI Agents](https://www.xenonstack.com/ai-agents/mysql-agents-actions/) [PostgreSQL AI Agents](https://www.xenonstack.com/ai-agents/postgresql-agents-actions/) [Datadog AI Agents](https://www.xenonstack.com/ai-agents/datadog-agents-actions/) [DynaTrace AI Agents](https://www.xenonstack.com/ai-agents/dynatrace-agents-actions/) [Splunk AI Agents](https://www.xenonstack.com/ai-agents/splunk-agents-actions/) [BigQuery AI Agents](https://www.xenonstack.com/ai-agents/bigquery-agents-actions/) [SAP AI Agents](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [Infor AI Agents](https://www.xenonstack.com/ai-agents/infor-agents-actions/) [Oracle AI Agents](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) [WorkDay AI Agents](https://www.xenonstack.com/ai-agents/workday-agents-actions/) [Jira AI Agents](https://www.xenonstack.com/ai-agents/jira-agents-actions/)

## Industry

[Aerospace and Aviation](https://www.xenonstack.com/industries/aerospace/) [Financial Services](https://www.xenonstack.com/industries/banking/) [Automotive And Industrial](https://www.xenonstack.com/industries/automotive/) [Consumer Tech](https://www.xenonstack.com/industries/consumer-technology/) [Technology, Media and Telco](https://www.xenonstack.com/industries/enterprise-technology/) [Digital Supply Chain](https://www.xenonstack.com/industries/digital-supply-chain/) [Hospitality and Tourism](https://www.xenonstack.com/industries/travel-hospitality/) [Discrete Manufacturing](https://www.xenonstack.com/industries/automotive/) [Education](https://www.xenonstack.com/industries/education/) [Media and Entertainment](https://www.xenonstack.com/industries/media-entertainment/) [Oil and Gas](https://www.xenonstack.com/industries/oil-and-gas/) [Energy and Utilities](https://www.xenonstack.com/industries/energy-and-utilities/)

## Enterprise Support

[AI Managed Services](https://www.xenonstack.com/managed-services/ai-managed-services/) [Kubernetes Managed Services](https://www.xenonstack.com/managed-services/kubernetes/) [SRE as a Service](https://www.xenonstack.com/managed-services/site-reliability-engineering/) [Data Managed Services](https://www.xenonstack.com/managed-services/big-data/) [Analytics Managed Services](https://www.xenonstack.com/managed-services/analytics-managed-services/) [Data Protection](https://www.xenonstack.com/readiness-assessment/data-protection/) [On-Premise AI](https://www.xenonstack.com/managed-services/on-premise-ai-cluster/)

## Solutions

[Private Cloud](https://www.xenonstack.com/solutions/private-cloud/) [Internal Developer Platform](https://www.xenonstack.com/solutions/internal-developer-platform/) [AI Inference](https://www.xenonstack.com/solutions/ai-inference/) [Open-Source Data Platform](https://www.xenonstack.com/solutions/open-source-data-platform/) [AI Trust Score](https://www.xenonstack.com/solutions/ai-trust-score/) [Autonomous SoC](https://www.xenonstack.com/solutions/autonomous-soc/) [Digital Twin](https://www.xenonstack.com/solutions/digital-twin/) [Readiness Assessment](https://www.xenonstack.com/readiness-assessment/) [Talk To Specialist](https://www.xenonstack.com/talk-to-specialist/)

## Company

[About Us](https://www.xenonstack.com/about-us/) [Leadership Team](https://www.xenonstack.com/about-us/leadership-team/) [TAO of XenonStack](https://www.xenonstack.com/about-us/tao-of-xenonstack/) [How We Grow](https://www.xenonstack.com/about-us/how-we-grow/) [How We Work](https://www.xenonstack.com/about-us/how-we-work/) [Careers](https://www.xenonstack.com/careers/) [XA - QSIR](https://www.xenonstack.com/xenonstack-academy/) [Contact Us](https://www.xenonstack.com/contact-us/) [Book Demo](https://demo.xenonstack.com/)

## Resources

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✕

## Agent SRE for Reliability and Observability Solutions

 AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability

- ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues
- ![Root Cause Icon](https://www.xenonstack.com/hubfs/root-cause.svg)Root-cause analysis across microservices and environments
- ![Remediation Icon](https://www.xenonstack.com/hubfs/remediation.svg)Automated remediation playbooks to reduce MTTR

[Explore Agent SRE](https://agentsre.ai/)

![akira-ai-banner-illustration](https://www.xenonstack.com/hubfs/akira-ai-banner-illustration.svg)

✕

## Physical Surveillance with Vision AI Agent Technology

 AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly

- ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion
- ![Video Search Icon](https://www.xenonstack.com/hubfs/video-search.svg)Natural language video search and instant playback
- ![Summary Icon](https://www.xenonstack.com/hubfs/summary.svg)Smart summaries for audits, investigations, and compliance

[See Vision AI in Action](https://www.xenonstack.ai/)

![physical-surveillance](https://www.xenonstack.com/hubfs/xai-banner-image.svg)

✕

## Agentic Data Intelligence Across Your Full Data Stack

 Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics

- ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources
- ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language
- ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations

[See in Action](https://elixirdata.co/)

![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg)

✕

## Intelligent Diagnostic for Self-Healing System Automation

 Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment

- ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors
- ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues
- ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies

[See in Action](https://agentanalyst.ai/)

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✕

## Agentic GRC - Monitoring Risk and Compliance Controls

 AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready

- ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS
- ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits
- ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations

[Explore Agent GRC](https://agentgrc.ai/)

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✕

## Agentic Finance and Procurement Intelligent Agents

 Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter

- ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments
- ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance
- ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions

[Optimize Finance & Procurement](https://www.xenonify.ai/)

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}
```

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