Introducing Kubernetes support

Engineering teams are increasingly relying on Kubernetes for development and production workloads. When we combine Kubernetes with the cloud layers and all the inter and intra dependencies between, we get an extremely complex set of infrastructure under our control. Taking into account K8S workloads and Cloud changes is a complex process.

Stav Sitnikov

CPO

Kubernetes

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TL;DR

A full view of your cloud means you can Captain it with confidence - Lightlytics now supports Kubernetes.

We have announced our commitment to Kubernetes support during kubecon and now its time to share it with everyone.

Kubernetes is increasingly being used for development and production workloads by engineering teams.

By combining Kubernetes with the cloud layers and all the inter and intra dependencies between them, we obtain an extremely complex set of infrastructure.

Taking K8S workloads and Cloud changes into consideration is a complex task.

Now you can detect all Kubernetes components instantly using Lightlytics, understand the architecture of your containerized infrastructure in real-time, and see how cloud configuration changes affect Kubernetes workloads both at build and runtime. Troubleshoot Kubernetes configurations, easily understand all dependencies, reduce downtimes and enforce best practices.

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Kubernetes support is now integrated across our entire offering:

The integration process is quick and simple, deploy our Helm chart and you are ready to go:

Discovery:

Identify all Kubernetes cluster resources and configurations, as well as their dependencies with the cloud infrastructure services across multiple accounts.

KSPM — Get a full inventory of all k8s resources in your cloud environment

kubernetes configurations — Get the full context of any resource

kubernetes posture management — Easily understand your entire k8s posture and troubleshoot k8s connectivity

kubernetes policies — View which policies are allowed by PODs and how they are assumed, find the missing policies you need to set in order to meet new requirements

kubernetes network activity — Get the entire picture by seeing activity related to pods

Events:

Keep track of all configuration changes and impacts between the cloud layer and the k8s layer.

‍Architectural standards:

Built-in, industry-best practice guardrails for k8s, and the ability to set triable knowledge policies based on a company's unique needs.

kubernetes guardrails — Predefined Guardrails for you Kubernetes workloads

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Incorporate tribal knowledge into our system so that the collective experience of your team is checked against any change:

kubernetes user defined policies — Set your own guardrails based on the teams tribal knowledge

What’s next?

· Inter cluster dependencies (i.e service to service dependencies)

· Helm charts and Terraform (Kubernetes provider) simulation

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‍Click here to Start your free trial now!

About Stream Security

Stream is the AI-native platform built to fight AI-enabled attacks. It autonomously prevents, detects, hunts, and remediates exposures and threats across production at machine speed - driving risk toward zero. It replaces the fragmented stack of scanners, runtime agents, exposure tools and playbooks with one live model of production.Defending Production needs a new approach: Stream is the only Autonomous Production Defense Platform that works across your entire production estate. It runs on a patented CloudTwin®, a high-fidelity security data harmonization layer that models Cloud, SaaS, identity, runtime, AI, network, perimeter, on-prem, security controls, and the behavior running on top of them into one live model of production: real-time, fully correlated, continuously updating. Not a snapshot. And it does not stop at boundaries - the boundaries that fragment every other tool are the same boundaries an attacker moves across. Inside CloudTwin they are one system.