Network Data for AI-Driven Workflows
Cluster-wide network traffic indexing — search any packet or API call in seconds
Structured, token-efficient results — built for AI reasoning
Query traffic in real-time or retrospectively
Deep Visibility for Engineers
From TCP connections to API payloads
Full Kubernetes identity on every connection
Real-time streaming and PCAP snapshots
Top Use Cases
Incident Response
Powering AI-driven IR Workflows
PCAPs from any point in time
Long-term PCAP retention
CCTV + flight recorder for K8s
Root Cause Analysis
Crush MTTR
Instant root cause visualization
Slice and dice network data for insight
Supercharge your AI-driven RCA
Instant, cluster-wide visibility
Wireshark-like capabilities for K8s
A modern alternative to tcpdump
Full K8s context on every packet
network is a blind spot
We were scaling a SaaS solution built with microservices deployed on Kubernetes, but turning on CloudWatch for EKS was simply too costly on AWS. Kubeshark helped us achieve proper scaling and made troubleshooting far easier without the need for an EC2 instance.
With intuitive dashboards and PCAP storage Kubeshark is the perfect tool for understanding cluster communications at a granular level. If you're managing a Kubernetes environment, Kubeshark is a game changer!
The standout moment was using Kubeshark to visualize and debug Kubernetes resource interactions. Clear insights into how components and traffic management functioned together made the entire process far more understandable and efficient.
I had a use case to identify all outbound connections made during normal operations of our product, and Kubeshark saved me loads of time in the process! I raved about the tool to colleagues as well.
Kubeshark provides real-time visibility into cluster network traffic enabling them to detect vulnerabilities and threats quickly. With deep insights into packet data, Kubeshark helps proactively secure deployments. A must-have for any Kubernetes security strategy.
Kubeshark has been an invaluable asset to our Kubernetes observability toolkit. The depth of traffic analysis it provides is unmatched and the seamless integration and user-friendly interface have significantly reduced our troubleshooting time and improved system reliability.
As a DevOps engineer, I need deep visibility into my Kubernetes clusters to ensure smooth operations and rapid troubleshooting. Kubeshark gives me exactly that! The ability to capture and analyze API traffic in real-time is invaluable. It’s become an essential tool in my DevOps arsenal.
What are people saying about
The Must Have Tool for Devops & SREs
Alex Jones from Canonical describes why Kubeshark is a must have tool for Devops and SREs, and provides a brief history of Wireshark and the importance of network analysis.
Understand Traffic Flow in K8s
Abhishek Veeramalla, a DevOps evangelist, uses Kubeshark in his DevOps course to understand how services handle load balancing, service discovery, and exposing applications to the outside world.
Review
I had a use case to identify all outbound connections made during normal operations of our product (to help clients with whitelisting), and Kubeshark saved me loads of time in the process! I raved about the tool to colleagues as well.
Review
Kubeshark is the Wireshark for Kubernetes! It provides an in-depth look at network traffic in real time, making API monitoring and debugging seamless. With features like intuitive dashboards and PCAP storage, it’s the perfect tool for understanding Kubernetes cluster communications at a granular level. If you're managing a Kubernetes environment, I highly recommend giving Kubeshark a try—it’s a game changer
Review
The standout moment was using Kubeshark to visualize and debug Kubernetes resource interactions. Kubeshark provided clear insights into how components like deployment configuration and traffic management functioned together, making the entire process far more understandable and efficient. It was an invaluable tool in helping me grasp the inner workings of Kubernetes clusters.
Review
Leveling up my Kubernetes game has been an exciting journey, especially with tools like Kubeshark. It’s been a game-changer in providing deep insights into Kubernetes network flows. From mastering load balancing across pods to exploring app exposure using NodePort, Kubeshark has given me a clear understanding of how data moves within the cluster. If you're looking to dive deep into Kubernetes services and network insights, Kubeshark is an invaluable tool!
Review
Kubeshark is essential for Kubernetes security. It gives security teams real-time visibility into cluster network traffic, enabling them to detect vulnerabilities and threats quickly. With deep insights into packet data, Kubeshark helps proactively secure deployments and maintain compliance. A must-have for any Kubernetes security strategy.
Review
Kubeshark has been an invaluable asset to our Kubernetes observability toolkit. The depth of traffic analysis it provides is unmatched, allowing us to easily inspect and monitor traffic flows within our cluster. With features that make real-time debugging a breeze, it's become an essential tool for our DevOps team. The seamless integration and user-friendly interface have significantly reduced our troubleshooting time and improved system reliability. Kubeshark is truly a game-changer for anyone serious about Kubernetes observability.
Review
As a DevOps engineer, I need deep visibility into my Kubernetes clusters to ensure smooth operations and rapid troubleshooting. Kubeshark gives me exactly that! With its powerful network monitoring capabilities, I can easily identify and resolve performance bottlenecks, security threats, and application issues. The ability to capture and analyze API traffic in real-time is invaluable. Kubeshark has become an essential tool in my DevOps arsenal.
Review
We were scaling a SaaS solution built with microservices deployed on Kubernetes, but turning on CloudWatch for EKS was simply too costly on AWS—it increased our bill by about five times. I needed insights into network traffic, bandwidth usage, and other metrics, which were missing from my existing scripts. Using this solution not only provided those crucial insights but also allowed me to visualize the data, showing where it was going and how much was being used. This helped us achieve proper scaling much faster and made troubleshooting services within EKS far easier without the need for an EC2 instance or installing anything new into the kubernetes cluster.
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