5 Best Practices for Kubernetes Multi-Container Management
Containerized workloads help organizations implement their services and products efficiently if utilized well. Many organizations want to move their containerized workloads into the production stream, but due to their lack of knowledge about Kubernetes multi-cluster industry best practices and DevOps best practices, they might end up struggling with processing challenges, such as faster vendor lock-in situations, which is the main problem among others. To get out of this situation and achieve traditional application modernization, they require a skilled DevOps developers’ team and strategies for integrating Kubernetes with the business’s existing business IT infrastructure.
As a precautionary measure, each organization needs to define requisite roles, skillsets, and a concrete strategy before moving to the new technological platform.
As per the anonymous survey, around 70% of organizations are utilizing Kubernetes to develop and manage their containerized applications. According to Forrester’s 2020 container adopting survey, more than 65% of enterprises are planning to shift their standard production methods with the help of container orchestration tools to achieve IT infrastructural transformation. Also, it requires specific Kubernetes best orchestrations to make sure that the container deployment is actually advancing.
Let’s get started with the basic Kubernetes best practices that suit all possible circumstances.
Security & Governance:
Data security measures should be the top priority for all organizations that are planning to adopt Kubernetes or any other technological platform. In the case of DevOps processes, DevSecOps is the best option as it brings security culture across the organizations. DevSecOps can be achieved within their CI/CD pipeline by implementing image scanning.
Organizations can also use additional open-source tools for auditing containers to achieve threat discovery process automation. Moreover, IT security engineers can follow measures and protocols of CIS (Center for Internet Security) for the same.
However, security administrators’ work doesn’t get over, they should ensure that access controls are provided properly with third-party encryptions in action to protect login credentials and sensitive business information from being disclosed to malicious actors.
Monitoring:
According to garner’s report, monitoring Kubernetes containers at a service level granularity is one of its best practices that ensures applications rather than hosts. Plus, organizations should know their vendors and tools to ensure infrastructure gets deep integration with Kubernetes services providers. These tools can help them perform proactive system monitoring by integrating an open-source instrumentation framework and AI analytics to get real-time recommendations.
Container Internals:
While Kubernetes is updating packages inside the container, developers should ensure that user access is changed to non-root users to protect the container from hackers getting root access. Speaking of a best Kubernetes best practice, it is important to have multiple shells across organizational IT infrastructure, which can be enforced by setting up Security context “runAsNonRoot: true” or “readOnlyFileSystem: true” command.
Kubernetes allows multiple processes in a container to run. To be on the safe side, it is advised to run only one container to maintain the efficiency of orchestrator works. If operators want to run multiple interdependent operations in a cluster, then they better run them in Pods.
Networking:
Organizations’ networking solutions should be integrated with Kubernetes primitives and policy engines to achieve their high degree of network process automation by providing appropriate tools and agility to developers. Plus, it is also necessary to have Container as a service and Software Defining Networking tools for auditing purposes. IT leaders should ensure that their tools support the load balancing across the Kubernetes networks and clusters.
At the time of the selection of Kubernetes distribution, the ingress controller support for load balancing must be offered around the cluster’s hosts. Lastly, every organization must plan a training program for network engineers to train them to work on network automation tools and Linux to grow the chances of achieving required skills and agility.
Auto-Scaling:
Organizations should use the advantages of Kubernetes Autoscaling mechanisms in their services to reduce their resource consumption. This feature can be enabled through tools like Cluster AutoScaler and Horizontal Pod Autoscaler that allows developers to adjust the volume of nod and pod in real-time. With this, IT experts can manage their load from basic to optimum level by avoiding bottlenecks.
Conclusion:
Whether your organization is using Kubernetes already or planning to move into its platform, it is a long way to decide the customer approach to orchestrate your clusters. The Kubernetes best practices that we have mentioned are suggested by many experts. Additionally, each cluster requires different approaches to fine-tune with particular workloads and achieve operational efficiency.
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