Integrating Tines’ automation with Kubernetes empowers organizations to orchestrate seamless, dynamic, and scalable workflows that enhance operational efficiency and resilience.
Explore pre-built workflows for Kubernetes. Use them for inspiration or as a starting point to build your custom automation solution.
Capture the value of Tines in a non-security use case. At Elastic, the InfoSec team has a number of Elasticsearch clusters deployed on Kubernetes, using Elastic Cloud on Kubernetes (ECK) on a Google Kubernetes Engine (GKE). The idea is that with a Slack bot, an engineer is able to interact with any Elasticsearch cluster and Kubernetes cluster and get more visibility about the health of the cluster and trigger further commands very easily. The features of this bot are the following: Ability to get a list of all GKE clusters from a GCP project and their respective status via Slack. Ability to check the health of Elasticsearch cluster, get shared allocation information and query Elasticseach to check the node disk space from Slack. Ability to get a list of all pods, services, and ingresses of a particular GKE cluster from Slack. Ability to restart a pod from Slack.
Tools: Argo Workflows, Google, Kubernetes
By Christopher Cutajar at Elastic
Use a Slack command to transfer Kubernetes ownership in the manifest metadata. Ensure the Slack user is the current manifest owner before updating the owner email.
Tools: Kubernetes, Slack
This story recieves Sysdig Kubernetes threat alerts through the webhook integrations. The story then retrieves asset information sysdig . Tines calls on Jira to documents each alert for tracking purposes. The story will take steps in to executing response automated workflows based on the alert type.
Tools: AWS, GreyNoise, Jira Software, Kubernetes, Sysdig, Tines
By Manuel Boira at Sysdig
Notify in Slack when Kubernetes pod status changes to monitor deployments, application changes and potential errors.
Tools: Kubernetes, Slack
With Tines, you can easily take any action that has a defined API using an HTTP request. To build even more quickly, copy a cURL command and paste it into the storyboard.
cURL request
curl -v -X GET --location "https://api.nasa.gov/neo/rest/v1/neo/browse?api_key=DEMO_KEY" -H 'Content-Type: application/json'
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