Operations | Monitoring | ITSM | DevOps | Cloud

Based on our newfound data feet, we’ve started consistently tracking the adoption rate of our latest features. As it happens, we’ve been impressed with the results! For example, we were delighted to see that our new tutorial flow was completed end-to-end by 35% of our users (against an industry average of less than a quarter for 6-step product tours like ours). I know, I know: being at such an early stage means it is arguably easier to hit customer needs on the head.

The Hackett Group’s 2022 Key Issues Study reveals technology’s top 10 priority objectives to help businesses plan their goals and tech investments to accelerate digital transformation in 2022. 2022 will be a year of experimentation and tech adoption for IT leaders and their technology organizations, driven by the pandemic-induced “work from anywhere” models and high penetration of cloud-based applications.

Load balancing is an indispensable technique for improving a website’s performance. I’ll explain why. With Firefox’s Web Developer Tools open, I visited a popular retailer’s website to see how many HTTP requests my browser made when loading the site. In this case, I counted 119 requests needed to render the landing page.

Would your organization benefit from having powerful, yet easy-to-use filters to inspect your nodes? With our latest Continuous Delivery for Puppet Enterprise release, we’ve updated the filters in the user interface to support more advanced queries. SysAdmins, developers, DataOps, and IT managers will all benefit from having access to these powerful filters.

We've gone through many iterations of ways to build, deploy and distribute applications written in Go at Cloud 66. Unlike Rails, Go applications can be web applications, daemons or CLIs and therefore have different requirements. I'll share some of what we've learned with you in this post.

Despite several widely acknowledged flaws, Python remains one of the most popular development languages worldwide. The sole fact that for years Python had two different and incompatible versions existing in parallel should have spelled the end for Python given the numerous alternatives available in the market. But Python overcame this conflict. Developers also criticized Python’s design and functionalities. Python is known to be slow and inadequate at dealing with memory-intensive operations.

Today, we have some exciting news to share: Pepperdata Capacity Optimizer now supports Azure Kubernetes Service (AKS). This means users of AKS are able to automatically optimize their workloads running on the Azure Kubernetes Service. AKS users can now rely on Pepperdata to help them monitor and optimize Spark applications on Kubernetes AKS. This evolution of our platform has been in the works for some time, and we know our users will be delighted by this development.