Kubernetes Reviews & Product Details

One of the new things I really like about Kubernetes is how it keeps evolving to simplify complex operations and improve developer experience. Recent updates have made cluster management, observability, and security much more efficient.

Here are some of the newer improvements I appreciate:

Improved Autoscaling (KEDA Integration):

Kubernetes now integrates more smoothly with tools like KEDA (Kubernetes Event-Driven Autoscaling), enabling event-based scaling. This allows workloads to automatically respond to external triggers like queue messages or HTTP requests — a big win for serverless and AI-driven workloads.

Enhanced Security and Policy Management:

Features like Pod Security Admission (PSA) and improved Role-Based Access Control (RBAC) make managing cluster security far more straightforward and reliable. It’s easier to enforce compliance and isolate workloads safely.

Ephemeral Containers for Debugging:

The ability to attach ephemeral containers to a running pod makes troubleshooting so much easier. Instead of restarting or redeploying, I can inspect live environments directly.

Improved Multi-Cluster and Edge Support:

With advancements like KubeFed (Federation v2) and better integration with edge computing frameworks, managing multiple clusters across hybrid environments feels much more unified.

Native Support for AI/ML Workloads:

Kubernetes’ ecosystem has expanded with frameworks like Kubeflow and Ray on Kubernetes, making it a strong foundation for machine learning operations (MLOps). The AI/ML compatibility is smoother than before.

Better Observability Tools:

Native support for metrics, logging, and tracing has improved, especially when combined with OpenTelemetry. This helps visualize performance bottlenecks and streamline maintenance. Review collected by and hosted on G2.com.

While Kubernetes is an incredibly powerful platform, it still has areas that could be improved. Its complexity and steep learning curve remain major challenges—understanding and managing clusters, networking, and storage often require significant expertise. The troubleshooting process can also be cumbersome, as diagnosing issues usually involves navigating multiple layers of abstraction.

Additionally, Kubernetes can be resource-intensive, making it less ideal for small environments or local development without proper tuning. The user experience—especially through the command line—could be made more intuitive with better error messages and clearer guidance.

Improving native monitoring, security configurations, and cost visibility would also go a long way in enhancing usability. Simplifying cluster setup and management for newcomers while maintaining flexibility for advanced users would make Kubernetes even more accessible and efficient. Review collected by and hosted on G2.com.

Kubernetes offers a robust and consistent approach to deploying, scaling, and managing containerized applications in any environment. I appreciate how it automates complex operational tasks such as scaling, rolling updates, and self-healing, which greatly enhances the reliability of application management. Its flexibility, along with a vast ecosystem of tools, also simplifies integration with CI/CD pipelines, observability platforms, and various cloud services. Review collected by and hosted on G2.com.

Kubernetes presents a significant learning curve, and its configuration often seems unnecessarily complicated for straightforward workloads. Handling YAML files, grasping the various controllers, and resolving cluster issues can take up a lot of time, particularly if robust automation is lacking. Although Kubernetes is highly powerful, the operational overhead and maintenance demands are greater than those of more basic container orchestration tools. Review collected by and hosted on G2.com.

Kubernetes makes it incredibly easy to scale applications automatically and roll out updates with zero downtime. Review collected by and hosted on G2.com.

Kubernetes has a steep learning curve, especially for teams new to containerization or distributed systems. It’s powerful, but not beginner-friendly. Review collected by and hosted on G2.com.

It has ease of deployment and scaling the pod as per our requirement and it has lot of features Review collected by and hosted on G2.com.

There monitoring dashboard UI can be improved. Review collected by and hosted on G2.com.

We can deploy our containers into the cluster with hassle free and provide resources which are been required Review collected by and hosted on G2.com.

For open source need some better setup requirement for k8s Review collected by and hosted on G2.com.

Secured access using cloud iam and token which reduces and manual intervention , also the automatic scaling as per the application requirements Review collected by and hosted on G2.com.

Cluster management can be very tideous and requires extreme expertise, along with the Google cloud token comes with vendor lock in which limits the flexibility to adopt multi cloud setup Review collected by and hosted on G2.com.

I love that migration is a simple process for managing containers in different environments! From Docker to Kubernetes Review collected by and hosted on G2.com.

It may be the learning curve, but once the functioning is understood, it is simple. Review collected by and hosted on G2.com.

I like how I can link my dockers more easily Review collected by and hosted on G2.com.

It is difficult to learn and one must have patience. Review collected by and hosted on G2.com.

The way that you migrate from Docker to Kubernetes is very easy. Review collected by and hosted on G2.com.

Maybe the curve of knowledge is a little bit hard for new users. Review collected by and hosted on G2.com.

Zero Downtime + autoscalling capabilites Review collected by and hosted on G2.com.

It's very hard to manage. The management complexiites, but if you masterd of it then it is very easy for you to install and manage it. and the Integration of other tools with k8s sometimes get difficult Review collected by and hosted on G2.com.