There has been an ongoing surge of companies beginning to run Spark on Kubernetes. In our recently published 2021 Big Data on Kubernetes Report, we discovered that 63% of today's enterprises are running Spark on Kubernetes. The same report found that nearly 80% of organizations embrace Kubernetes to optimize the utilization of compute resources and reduce their cloud expenses. However, running Spark on Kubernetes is not without complications and problems.

In 2021, having too many monitoring tools doesn't necessarily mean you have 100% uptime. In this ebook, we discuss the gaps in what the industry needs out of an AIOps/APM tool and why current technologies are failing. We will also give a primer on how HEAL bridges these gaps to help you achieve the holy grail of 100% uptime with proactive, preventive AIOps.

False positives waste time, cause alert fatigue, and can be extremely expensive. Any time spent by the ITOps teams on false positives is an avoidable cost affecting the company's top line. False positives lead to alert fatigue. ITOps teams regularly identify it as a cause of overwhelm, so much so that they mentally shut the alerts off. They become desensitized to it and begin to ignore it, consciously or otherwise.

Stay ahead of the pack with these tools for creating and deploying your applications faster than the competition.

A guide to assuring performance and availability of critical services across public and hybrid clouds and the internet You're responsible for monitoring the performance and availability of critical cloud services. If your users start complaining about slow response times, it's tough to get started when you can't even see where the problem is. This is where synthetic testing comes in - to help you find problems before they affect your users. This means fewer complaints and happier customers!

Organizations are adopting cloud in a big way. Some went whole hog right away, but most took a hybrid approach for security, compliance, or just to move more cautiously. No matter the reason, hybrid clouds can leave network pros a little, well, foggy. No longer can you see, fix, and run your network across your data center, private clouds, public clouds, and SaaS. Ai ai ai! Never fear! Read this short white paper on how to achieve network observability nirvana in your hybrid cloud.

In the last year, the dual pressures of accelerating digital transformation and delivering seamless remote experiences have challenged IT teams to fundamentally adapt. Facing constrained budgets, threats from would-be cybercriminals, and a surge in new remote devices, their role has grown both increasingly critical and increasingly complex. NinjaOne's latest report looks at the top challenges and trends impacting IT efficiency. Read the report to learn how manual processes could be costing IT teams time, money, and exposing them to new risk.

For decades, IT teams have relied on on-premises, network-centric approaches to IT management. As these teams have grown to manage more and more cloud- and SaaS-based products for the business users, they have staunchly persisted in their use of legacy management tools. Even the growing mobile, field, and remote workforce has only marginally impacted IT management methods, with most simply finding workarounds to their network-centric systems that leave end-users frustrated and unsatisfied.