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The usage of cloud-native technology is growing at an exponential rate. As a result, Kubernetes is quickly becoming the industry standard for container orchestration. According to Gartner, Kubernetes’ current usage rate of 30% will continue to rise in 2022, surpassing 75%. Spending on public clouds will also increase to $304.9 billion. As a result, Kubernetes networking trends will continue to be a hot issue in 2022.
Daily, the average user uses 36 cloud-based services, and this is also rapidly growing, so you should be abreast of Kubernetes’ progress. To be competitive, you will need to maintain your cloud networking tactics up to date.
This article will cover the Kubernetes networking trends for 2022. Let’s start with the challenges of traditional networking infrastructure.
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Cloud computing provides easy, on-demand access to nearly infinite computing resources. In traditional cloud networking, cloud security remains the most pressing topic. DDoS assaults, or Distributed Denial-of-Service attacks, are a widespread security concern. You will need to implement traffic isolation or multi-level permission-based access controls to stop them.
Another issue is maintaining consistency, which has become more difficult as you manage large amounts of data in various formats. For all users, data consistency is essential, and this is why you should target it independent of physical hardware, network connections, or transaction state. You will need to develop appropriate data structures, error correction, and efficient protocols.
Resiliency and availability are also significant concerns with cloud applications (apps) and services. Failure routes can emerge due to resource competition and reliance on network components. To have a solid cloud strategy, you must plan for failure detection, logging, and resolution. As a result, you will be able to keep your app and service up to date.
These challenges with traditional networking have prompted us to consider Kubernetes networking and the critical role of in-app performance.
Kubernetes is an open-source platform that offers declarative setup and automation for managing containerized workloads and services. It has a huge and fast-expanding ecosystem. Kubernetes services and tools are widely available.
Kubernetes is a cloud-based open-source platform that manages application development containers. This encompasses their development, upkeep, analytics, and use. Kubernetes also enables rapid project resource expansion to meet changing requirements. To speed up development, you can use existing project containers as templates.
Kubernetes networking is required for apps to run well because current apps require real-time contact with other apps. According to the microservices concept, they also include modular services, and as a result, these services must communicate with one another.
As IoT and Edge computing gain traction, networking is changing dramatically. This, in turn, impacts Kubernetes networking, so keep up with the newest cloud networking trends.
The major trend is that many businesses are still in the early stages of development. Most IT leaders anticipate running more containerized applications in production at any stage of their cloud journey, with Kubernetes being the most popular platform.
“By 2022, Gartner expects that more than 75% of worldwide enterprises will be operating containerized apps in production, up from less than 30% in 2020,” says Brian Gracely, Red Hat’s senior director of product strategy.
This aligns with Red Hat’s 2021 State of Enterprise Open Source research, which found that 72 percent of IT directors expect their organizations’ adoption of containers to grow. They also consider Kubernetes as universally critical to cloud-native application strategies (85%).
As companies extend their cloud infrastructure, Kubernetes usage is expected to increase.
The following are the Kubernetes networking trends for 2022:
Moving apps from a single cloud to a multi-cloud solution can be challenging, and you must ensure that no links are broken throughout the rollout. Although this is a difficulty, it will increase your productivity.
Cloud suppliers frequently limit the use of networking services in their environment. It would be beneficial if you could find a way to isolate networking from any specific cloud provider. Even if the underlying networking implementation changes, everything will continue to work.
This leads us to the topic of networking protocols. Regardless of cloud solutions, these protocols define commonality. You will also want to make sure you think about them carefully and develop protocols that have been thoroughly tested.
A specialized infrastructure layer integrated into an application is a service mesh. They regulate service-to-service communication to make it more dependable, secure, and managed. Istio and Linkerd are the most popular tools right now.
The sidecar model service mesh, which is a few years old already, will remain helpful in terms of models. This is because it is an excellent network security measure. A sidecar is a container that acts as a proxy for the project container. Inter-service communications, monitoring, and security are all managed by it. This allows for overall app tracking and maintenance.
All traffic is routed through the sidecar proxy before reaching the destination service. On the other hand, sidecars evaluate traffic, generate valuable statistics, and assist in load balancing. These proxies also include data encryption as a significant feature.
Kubernetes’ ability to handle more complicated use cases in AI and Machine Learning is likely most visible. Kubernetes is quickly gaining traction as the production platform of choice for AI and Machine Learning workloads.
Network policies in Kubernetes regulate traffic between pods and network points. They use established rules to direct traffic. They employ policies to define networking rather than constructing networks.
You do not have to define every networking feature in this declarative approach to network management. Instead, you declare what you need to happen and leave the rest to the tools.
The collection and administration of device data are being transformed by Edge computing. However, the networking aspect is still being worked on. Cloud-native apps require service mesh tools. However, they are not light, quick, or secure enough for most Edge computing environments. K3s and MicroK8s, for example, are lightweight Kubernetes implementations.
Kubernetes is quickly gaining traction as the industry’s preferred container orchestrator. The importance of Kubernetes networking trends for developing safe, stable, and scalable applications with agility is growing. Kubernetes’ future appears to be brimming with new possibilities and innovation. It is safe to predict that Kubernetes will continue to expand in popularity in the future years.
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