Microsoft technology licensing, llc (20240111579). TERMINATION OF SIDECAR CONTAINERS simplified abstract
Contents
- 1 TERMINATION OF SIDECAR CONTAINERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TERMINATION OF SIDECAR CONTAINERS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology impact the scalability of Kubernetes clusters?
- 1.11 What are the potential security implications of automatically terminating sidecar containers?
- 1.12 Original Abstract Submitted
TERMINATION OF SIDECAR CONTAINERS
Organization Name
microsoft technology licensing, llc
Inventor(s)
Sergey Chernobrivenko of Welling (GB)
Alex John Hockey of London (GB)
TERMINATION OF SIDECAR CONTAINERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111579 titled 'TERMINATION OF SIDECAR CONTAINERS
Simplified Explanation
The abstract of the patent application describes a method performed by a controller in a Kubernetes cluster. The method involves identifying a job to be completed by the cluster, determining sidecar containers associated with the job, checking if the job has been completed by querying the Kubernetes control plane, and triggering the termination of the sidecar container once the job is completed.
- The method involves identifying a job to be completed by the Kubernetes cluster.
- Determining at least one sidecar container associated with the identified job.
- Checking if the job has been completed by querying the Kubernetes control plane.
- Triggering the termination of the sidecar container once the job is completed.
Potential Applications
This technology could be applied in various industries such as cloud computing, data processing, and automation systems.
Problems Solved
This technology helps in efficiently managing and monitoring jobs in a Kubernetes cluster, ensuring that sidecar containers are terminated once the job is completed, thereby optimizing resource utilization.
Benefits
- Improved job management in Kubernetes clusters - Enhanced resource optimization - Automated termination of sidecar containers
Potential Commercial Applications
"Optimizing Resource Utilization in Kubernetes Clusters: A Game-Changer for Cloud Computing"
Possible Prior Art
There may be prior art related to job management and resource optimization in containerized environments, but specific examples are not provided in this context.
Unanswered Questions
How does this technology impact the scalability of Kubernetes clusters?
This article does not delve into the scalability aspects of the technology and how it can handle a large number of jobs in a cluster.
What are the potential security implications of automatically terminating sidecar containers?
The article does not address the security considerations of automatically terminating sidecar containers and any associated risks.
Original Abstract Submitted
in various examples there is a method performed by a controller in kubernetes cluster. the method comprises: identifying a job to be completed by the cluster, from a plurality of jobs. in response to identifying a job to be completed by the cluster, determining at least one sidecar container associated with the job. in response to identifying a job to be completed by the cluster, determining that the job has been completed by querying a kubernetes control plane of the cluster. in response to determining that the job has been completed, triggering termination of the sidecar container.
