Operations | Monitoring | ITSM | DevOps | Cloud

2021 Pepperdata Survey: The Reality of Kubernetes in Action

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.

What is Cloud Repatriation and How to Avoid It with Cloud Cost Management

Cloud computing is one of the great technologies of our era. As such, enterprises everywhere are in a hurry to migrate to the cloud. However, one of the less-talked-about trends of our time is cloud repatriation: the process of enterprises reversing their decision, leaving the cloud, and returning to an on-prem setting. According to TechTarget, 85% of enterprises reported plans of repatriating their workloads from the public cloud in 2019.

A Simple Guide to Taming the Beast That Is Kubernetes

Containers are amazing. But when you start to orchestrate them in a complex environment, they can become quite the beast. Kubernetes is one of the best tools to tame that beast, but few resources exist to help you manage your big data workloads on Kubernetes. If you want to learn how you can optimize your big data workloads on Kubernetes, this is for you.

Lower Your Google Cloud Costs with These 5 Google Dataproc Best Practices

Thinking about using Google Dataproc as your cloud vendor? We can see why. Google Dataproc is a powerful tool for analytics and data processing, but to get the most out of it you have to ensure you use it properly. We’re going to explore five best practices you can use to lower your Google cloud costs while maximizing efficiency: Following these tips will ensure the best performance and help keep your cloud costs in line.

Pepperdata Lets AWS Auto Scaling Execute More Big Data Workloads

Here at Pepperdata, we continuously work to improve our products and better serve our customers. Whether it’s executing more big data workloads or ensuring their resource consumption remains optimal, we want our customers to get the best value and tangible benefits from our products while not overshooting their big data cloud budgets. Today, we’re bringing you the data to back up our claims that all of this is possible.

Spark Performance Management Optimization Best Practices | Pepperdata

Gain the knowledge of Spark veteran Alex Pierce on how to manage the challenges of maintaining the performance and usability of your Spark jobs. Apache Spark provides sophisticated ways for enterprises to leverage big data compared to Hadoop. However, the increasing amount of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine.

How to Optimize Spark Enterprise Application Performance | Pepperdata

Does your big data analytics platform provide you with the Spark recommendations you need to optimize your application performance and improve your own skillset? Explore how you can use Spark recommendations to untangle the complexity of your Spark applications, reduce waste and cost, and enhance your own knowledge of Spark best practices. Topics include: Join Product Manager Heidi Carson and Field Engineer Alex Pierce from Pepperdata to gain real-world experience with a variety of Spark recommendations, and participate in the Q and A that follows.

How to Maximize the Value Of Your Big Data Analytics Stack Investment

Big data analytics performance management is a competitive differentiator and a priority for data-driven companies. However, optimizing IT costs while guaranteeing performance and reliability in distributed systems is difficult. The complexity of distributed systems makes it critically important to have unified visibility into the entire stack. This webinar discusses how to maximize the business value of your big data analytics stack investment and achieve ROI while reducing expenses. Learn how to.