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.
The integration process is quick and simple, deploy our Helm chart and you are ready to go:
Identify all Kubernetes cluster resources and configurations, as well as their dependencies with the cloud infrastructure services across multiple accounts.
Keep track of all configuration changes and impacts between the cloud layer and the k8s layer.
Built-in, industry-best practice guardrails for k8s, and the ability to set triable knowledge policies based on a company's unique needs.
Incorporate tribal knowledge into our system so that the collective experience of your team is checked against any change:
· Inter cluster dependencies (i.e service to service dependencies)
· Helm charts and Terraform (Kubernetes provider) simulation
Stream Security leads in Cloud Detection and Response, modeling all cloud activities and configurations in real-time to uncover adversary intent. The platform correlates activities by principles, helping security teams connect the dots and understand correlations among cloud operations. It reveals each alert's exploitability and blast radius to predict the adversary's next move, enabling security teams to detect, investigate, and respond with confidence, outpacing the adversary.