Today, Kubernetes remains the most requested container by developers. Originally developed by Google engineers, Kubernetes has gained a worldwide reputation as the go-to solution for hosting across on-premises, public, private, or hybrid clouds.
According to a report from Statista, the market share of Kubernetes in the public cloud has increased by nearly 30% in the past year. And among large technology companies with more than 1,000 employees, the adoption rate of Kubernetes has also increased by at least 20% in a year.
However, despite the growing popularity of Kubernetes, there are still some challenges that make it difficult for DevOps teams to use K8s to build cloud-native applications to its full advantage. For the DevOps team, what issues should be paid attention to when applying Kubernetes?
1. Observability is key
Kubernetes has many advantages due to the existence of multiple nodes in the container ecosystem. This makes a comprehensive understanding of the entire K8s environment a challenging task. In fact, it is very difficult to directly detect K8s without relying on tools. According to Shahar Azulay, CEO and co-founder of Groundcover, the solution to this challenge lies in observability solutions.
By using observability tools, DevOps teams can gain complete visibility into everything happening in Kubernetes, from logs to metrics and traces. This enables DevOps teams to quickly fix bugs and build applications at scale. "Instead of collecting and analyzing every byte of data available or sampling randomly, developers can intelligently sample the most valid data by identifying it at the source, and then select only the data to send to their observability platform," Azulay said. The data.
With observability tools, DevOps teams can reduce system downtime, lower costs, and ultimately improve performance. Some of the most popular observability tools today include Grafana, Groundcover, and Prometheus. Azulay further states that Groundcover represents a new paradigm in observability because "it breaks with the traditional APM model, offering minimal resource consumption, comprehensive observability, and simple and transparent pricing.
2. Put security first
Focusing on observability alone is not enough, which means you are only solving half the problem. In the report on the security status of Kubernetes in 2023 released by Red Hat, 94% of the respondents experienced security incidents in the past 12 months, and 64% of the respondents said that their system was damaged due to K8s security issues. Delay or affect deployment. Thirty percent of respondents also cited vulnerabilities as their biggest concern for container and K8s environments.
Maintaining security when running applications in a Kubernetes environment is imperative. Failure to prioritize security can adversely affect performance, increase remediation costs, and have lasting, damaging effects. When using K8s, you must be vigilant at all times to be able to get the performance improvement you want from it.
As one of the creators of Kubescape, the most popular Kubernetes security tool today, Box Craig, vice president of the open source community at ARMO, pointed out: "As with all cloud software, when you delegate Kubernetes access to a team, you want to make sure you have A well-fitting guardrail is very important.
Craig further noted that some steps to take to ensure security should include (but are not limited to):
- Update security patches regularly.
- Follow industry best practices when configuring K8s clusters.
- Check and validate mappings for malicious code, incorrect configurations, and other vulnerabilities.
- Prevent users from accessing cloud API data.
- Leverage role-based access control (RBAC) to allow users to access K8s resources only based on their roles and capabilities.
- Secure your IDEs, CI/CD pipelines, and clusters with security tools like Kubecsape.
3. Fix storage problems
Additional storage comes at a price when using Kubernetes, covering most of the costs incurred by developers and organizations. To effectively reduce deployment friction for developers, large enterprises often migrate to public cloud environments and reduce their reliance on local servers.
According to ARMO's CTO Ben Hirschberg, one way to solve this problem is to "analyze the data at the source, minimizing the need to move large amounts of data for observation. It is possible to analyze the data directly inside the node or application, not all data Both need to move to external storage or observability platforms. By storing data locally, DevOps teams can avoid unnecessary data transfer costs, while ensuring that necessary data is always available when needed.
4. Prioritize Interoperability
Another problem with K8s that most developers face is interoperability, the ability for applications to communicate with each other in K8s. Communication between interoperable cloud-native applications on K8s is not as simple as it seems. As this article points out, the lack of interoperability can affect a cluster deployment because it contains application instances that may have problems running on a single node in the cluster.
One way to address this challenge is to leverage collaborative projects across multiple organizations such as AWS, Google, IBM, SAP, and Red Hat to serve your cloud-native applications.
5 Conclusion
The best K8s practices are not one-off fixes; they come from continually learning from mistakes and realigning the bottom line. For DevOps teams already bogged down with technical work and the need to deploy containers at record speeds, this can take even more time. But fortunately, observability tools can identify where to focus attention and help make recommendations and steps to make a positive impact on key issues such as security, interoperability, storage, and more.
6. Kubernetes DevOps system
This is a simple, cross-platform rapid development framework based on Java Boot/.Net Core. Thousands of commonly used classes are encapsulated in the front and back ends, which is convenient for expansion; the code generator is integrated to support front and back end business code generation, to achieve rapid development and improve work efficiency; the framework integrates forms, reports, charts, large screens and other commonly used Demo is easy to use directly; the backend framework supports Vue2 and Vue3. The platform can be deployed privately or based on Kubernetes (K8S).
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Application experience: https://www.jnpfsoft.com/?csdn
