What is Scalability in Cloud Computing

What is Scalability in Cloud Computing

More companies than ever before are migrating to Kubernetes and seeing the results of Kubernetes in action. Kubernetes (K8s) is a key platform for big data users, and as such, we wanted to dive deeper and discover some new truths about current Kubernetes challenges and what the solutions might be.

We surveyed 600 IT and big data professionals from various industries to determine which big data applications enterprises are moving or intending to move to Kubernetes. Our study was intended to identify the challenges these companies are facing, what applications they are migrating, and how fast the migration is taking place. The vast majority of the participants were employed by companies with between 500 and 5,000 workers.

kubernetes in action

Survey Highlights

More and more teams are dealing with Kubernetes in action each day. The growing number of big data applications and their access to data means IT teams and developers must manage their resources more closely.

While using Kubernetes in production is going to be a prevalent practice for many enterprises moving forward, monitoring and optimizing application performance and resource utilization within Kubernetes is difficult. Cloud vendors may have proliferated, but very few of them offer much-needed visibility into Kubernetes big data.

However, despite the lack of visibility most Kubernetes monitoring tools offer on the market, over 42% of our survey respondents rely on solutions offered by their cloud providers. Nearly 15% report that they are still searching for a monitoring solution even after migrating a significant amount of their big data workloads to Kubernetes.

Without a comprehensive monitoring tool, our survey discovered that nearly 30% struggled to allocate and reallocate their compute resources.

The lack of visibility, poor resource allocation, complexity, and scalability makes Kubernetes a very challenging framework to migrate to.

 

We have unearthed more great information on Kubernetes usage and monitoring.
Get the full Pepperdata 2021 Big Data on Kubernetes Report to know more.

 

Big Data Application Monitoring in Kubernetes: An Imperative

Big data experts predict more Kubernetes in action in the immediate future. The need for big data application monitoring in Kubernetes can’t be understated in the face of the projected increase in usage.

While there are a number of free and off-the-shelf K8s monitoring tools today, very few allow you to step beyond the basic K8s measurements and look at app performance. You need to be able to do both, otherwise, you lack two key things. You either don’t have the full picture—which makes troubleshooting and meeting your SLAs tough, or you have to use a number of different tools—which is a pain. The hard part of K8s is monitoring and tweaking it to get the best performance from your clusters. You need a holistic tool to help.

Pepperdata delivers superior observability and continuous tuning for the big data applications and workloads running on Kubernetes. With full-stack visibility, users can track and see big data application performance in real time, enabling them to effectively optimize resource allocation and utilization, achieve continuous tuning for optimal performance, and maintain business continuity. Pepperdata helps ensure that applications and workloads running on Kubernetes meet SLAs, while also monitoring resource usage and spend for unparalleled accountability.

Download the complete Pepperdata 2021 Big Data on Kubernetes Report now.