Operations | Monitoring | ITSM | DevOps | Cloud

According to Amazon, On-Demand Instances are best reserved for short-term processes with uneven workloads that cannot be interrupted. This might partly explain why such EC2 instances are exceedingly popular with AWS users. On the flip side, however, it turns out that On-Demand Instances are also getting dumped for the sake of cloud cost optimization. Our recent Spot Instances guide, for instance, advises AWS users to consider making a switch and, consequently, enjoy up to 90% cost savings.

Thinking about using Google Dataproc as your cloud vendor? We can see why. Google Dataproc is a powerful tool for analytics and data processing, but to get the most out of it you have to ensure you use it properly. We’re going to explore five best practices you can use to lower your Google cloud costs while maximizing efficiency: Following these tips will ensure the best performance and help keep your cloud costs in line.

EC2 instances come with a spider web of charges — when you take a look at your bill, you’ll see there are hundreds of unique line items connected to your usage. In addition to the instance, you’re also billed for storage, data transfer, and networking associated with that instance. It’s important to fully understand those charges so you can find ways to optimize your costs.

Over the past decade, businesses have flocked to the public cloud, with the promise of faster innovation, improved scalability — and of course, cost savings. Yet for many companies, the reality of cloud migration has been a different story. CFOs are blindsided by high costs and uncontrolled spending. Meanwhile, engineering teams struggle to justify and explain their spend — often frustrated that finance doesn’t understand, even when spend is growing healthily along with the business.

FP&A is a strategic part of the finance organization and has the potential to drive important business outcomes. When done right, it can have a major positive impact on the future of the business. When done poorly, it can slow a company down. The role of FP&A has evolved. Today it isn’t just about taking inputs and crunching numbers — it’s about being a strategic advisor to the organization.

Here at Pepperdata, we continuously work to improve our products and better serve our customers. Whether it’s executing more big data workloads or ensuring their resource consumption remains optimal, we want our customers to get the best value and tangible benefits from our products while not overshooting their big data cloud budgets. Today, we’re bringing you the data to back up our claims that all of this is possible.

We couldn’t be more excited here at Anodot at the announcement of the acquisition of Pileus. Acquiring a company is a very special event, a moment that is the culmination of months of thought and deliberation. Is there a strong synergy between the two entities? Do we share the same DNA and culture? Is the additional product aligned with our long-term vision?

Serverless services save time. When you switch to serverless architecture, you offload redundant cloud management activities to your cloud provider and gain more time to focus on the most important parts of your business — development and innovation. Even better, you only pay for what you use, so you don’t have to worry about committing to reserved instances or committing to a savings plan. But there’s a catch.