As the size and frequency of data pipelines scale, organizations are constantly looking for ways to reduce costs and more efficiently utilize their data infrastructure. As the leading managed platform for Spark on Kubernetes, we’ve helped several customers make the decision to move their Spark workloads to Ocean for Apache Spark, taking advantage of strategic spot instance selection, flexible pod configurations, and resource utilization tools that can correct overprovisioning.

When organizations deploy clusters — in, for example, Dev or Production environments — they may have different objectives around cost and availability. Dev clusters usually can tolerate more interruptions, as they are not running live services, but the expectation is saving money at the expense of availability.

Very early in my career, a mentor taught me an extremely important lesson: “There is no substitute for talking to your customers.” No market research, focus groups, or surveys can take the place of getting face to face with your customers and having an honest conversation.

Elastigroup, Spot by NetApp’s first product and core technology, can now be easily provisioned and managed as an AWS Quickstart Guide, created in collaboration with the AWS QuickStart team. Elastigroup for AWS is an IaaS Optimization platform in which the user can provision, manage, and scale EC2 instances to support any elastic application or load balanced workload while leveraging multiple instance–purchasing options.

With frequent software changes for hundreds of services over multiple environments, even a small change made by a developer can generate an unexpected blast radius in production. The standard Kubernetes deployment strategy ignores this modern complexity layer. DevOps organizations that maintain complex solutions have already understood that it’s not scalable and costly to manage.

Spot by NetApp recently surveyed over 200 DevOps engineers to gain insight on how they view their role, how they provide the most value, what tools can help drive efficiency, and key recommendations for unlocking the value of DevOps.

With Eco’s automated reservation management, maximizing savings on your cloud bill and increasing your team’s bandwidth is easy. The new dashboard now includes responsive modular components and an improved commitment filter, so tracking savings and monitoring your environment is even easier.

The thermostat for the first floor of my house is located right behind me in my home office. I probably walk by it a dozen times a day, but I only look at it if I am feeling cold or warm to check to see if the temperature is set to the correct value. In Massachusetts, hot and cold are seasonal but can vary a lot day to day so checking occurs more often than you would think.

In 2020, remote work exploded with the start of COVID-19 as businesses scrambled to stay productive and competitive amidst health concerns and quarantines. During the pandemic, close to 70% of workers were working from home. Currently, 4.7 million people work remotely at least half the time in the US, and 62% of workers claim to work remotely at least occasionally.

Delivering on our commitment to offer customer flexible RI (Reserved Instances) management and long-term savings, Eco for Azure now supports Savings Plans and two new customer account types, PaYG and MCA. Released earlier this year, Eco for Azure is still the first choice for FinOps-minded organizations looking to maximize team resources and automate dynamic cloud commitments.