Pepperdata’s cost slashing capabilities are legendary: for the last decade, we’ve been doing just that for some of the largest and most demanding enterprises in the world, including security-conscious global banks, members of the Fortune Five, and other top-tier companies.

No matter how complicated your monthly cloud bill, all spend in the cloud is premised on a very simple formula.

IT spend on big data systems in 2023 is forecasted to be $222 billion (Statista.com: Information spending on data center systems worldwide from 2012 to 2023). Actual monetary cost is just one parameter: infrastructure resources, personnel, and the overall time taken to retrieve big data insights push spending even further.

Cloud FinOps is rapidly becoming popular among organizations in today’s digital age due to its ability to help manage financial operations more efficiently. This is because it allows organizations to track, measure, and optimize their cloud spend with greater visibility. It also helps improve operational efficiency by automating numerous financial processes, including billing, budgeting, auditing, and reporting.

Kubernetes is fast becoming the world’s most preferred open-source container orchestration tool. Used for building and managing cloud-native microservices-based apps as well as the containerization of existing apps, its adoption is continuously increasing. Already, 61% of enterprises have adopted Kubernetes, and 30% are planning to embrace it within the next 12 months.

Are your Apache Impala queries running slow and not achieving peak performance? Given Impala’s complexity, troubleshooting can be very difficult. Optimizing query performance is near impossible without the right tools. Good news: Pepperdata Query Spotlight now supports Apache Impala.

In the realm of big data, Hive is a big deal. Well-written and well-designed Hive queries accelerate data retrieval from datasets. Hive is much better than SQL as the former works with complicated data more effectively. In addition, Hive queries help bring down processing costs. This is why it’s critical to write and optimize Hive queries correctly for big data analytics users and developers.

It’s a wrap! From October 24–28, the Pepperdata team attended KubeCon + CloudNativeCon North America 2022, which brought together top engineers and developers from communities centered around Kubernetes and cloud native. With topics ranging from container observability practices to K8s innovations, Pepperdata unveiled the latest offering of its own: Autonomous FinOps for Kubernetes.

TechEx North America 2022’s AI & Big Data Expo, America’s leading enterprise technology exhibition, concluded with incredible insights across ML, cloud infrastructure, and big data analytics industries. Showcasing expert panel discussions, live demos and high-level presentations from over 250+ speakers, the convention highlighted five key takeaways — some innovations, yet some gaps in terms of big data progression.

Bill shock stemming from surprisingly high cloud bills remains a persistent concern for enterprises that have migrated to the cloud. Cloud service providers often market the cloud as a highly effective means to lower operational costs. By moving their applications and processes to cloud-hosted infrastructures, organizations are saving money that would have gone to datacenters, hardware, and personnel.