When you work in tech, there are certain truths about the holiday season you can always count on. For example, you’ll be holding your breath up until New Years waiting to see if deals will come across the line. The end-of-year planning you intended to have done by December 31, will inevitably bleed into January. And, without a doubt, you’ll spend your holidays trying to explain to your relatives what exactly it is that you do.

Peppedata ends 2021 on a very strong note as a premiere solution for providing visibility and automation for your big data stack. Among the highlights of this year’s run are a few recognitions from our friends at G2. The site gets 5.5 million visits every month from people and enterprises that are looking for reliable solutions that meet both their needs and budget. As the biggest and most trusted marketplace for software vendors and consumers, any award from G2 is always a cause for celebration.

Since the first software-as-a-service (SaaS) company entered the market in 1999, Salesforce, the industry has exploded. Experts are predicting that the industry will exceed $600 billion by 2023 at an 18% compound annual growth rate. In order to play in this highly competitive space, SaaS companies need to have a deep understanding of their financial key performance indicators (KPIs).

Identifying the best payment plan for cloud services can be a challenge. For one thing, no two businesses are exactly alike. Since each organization faces a unique set of circumstances, it is tough to choose the best option from all the different cloud cost models without taking an in-depth look at business-specific aspects such as demand, spending preferences, and projected revenue over the next few years. On top of that, the payment plans themselves are very often confusing.

If IT Financial Management (ITFM) was as simple as widely presumed, we’d be seeing IT expenditure dropping globally with the continued adoption of cloud services. For example, in 2020 it was expected that 83% of enterprise workloads would move to the cloud. That move happened but the results didn’t come with the extensive cost reduction benefits that businesses envisioned. Organizations are actually spending more despite the workload migration.

Organizations of all sizes can take advantage of Amazon Web Service’s cloud computing. AWS provides low-cost cloud storage, nearly unlimited compute resources, and secure remote computing services. Still, many users find AWS confusing. Companies often struggle to understand AWS billing. Aligning cloud spend to actual operational activities for cost allocation is next to impossible. AWS also limits the amount of compute resources you can use based on your location.

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.

Author Jeff Duntemann said a good tool improves how you work, whereas a great tool transforms your thinking. Companies that want to improve their cloud-based operations can rely on cloud metrics as an effective tool for transforming their cloud operations. You can't fix what you don't measure. Cloud metrics are the logs of data that a cloud infrastructure or application generates.

Although refactoring isn’t typically listed as one of the core phases of the software development lifecycle, you cannot leave it out if you intend to keep code running efficiently. The unfortunate thing about software is, it doesn’t usually age very well. Even seemingly perfect source code progressively decays over time — due to the ever-morphing tech ecosystem.