Business leaders frequently need to make decisions that could impact the entire future of a company. Armed with pages of data and financial reports, many executives choose to slash costs, double efforts on certain products over others, or otherwise forge ahead with major decisions about cloud usage, spending, and overall business strategy. Great choices could mean huge profits, but unwise choices could spell doom for the business as a whole.

The Amazon Redshift data cloud provides a fast, secure, and widely accessible data warehouse solution. It is an ideal platform for performing complex analytics and processing large data sets. In addition to supporting multi-parallel processing (MPP), Redshift is also a type of Online Analytical Processing (OLAP) database. Yet, one of Redshift’s main selling points is its cost-effectiveness over alternatives like Snowflake and BigQuery. Is this the case? What is the actual cost of Amazon Redshift?

Cloud cost intelligence is a game-changing way to understand where your money is going and what that means for your business. Any company with a cloud services bill can benefit from a cloud cost intelligence strategy that outlines which spending decisions are beneficial and which should be scrapped in favor of something else. But let’s say you have done your background research and you understand what cloud cost intelligence is and why it matters. Where do you go from there?

Accurate, fair budgets make everyone in the company happy. Engineers love when they can build products that make the company money, executives enjoy seeing nice, wide margins, and finance departments celebrate when everything goes according to plan. But keeping the budget for cloud computing reasonable can seem like a lofty goal when your company’s cloud spending seems to change with the direction of the wind.

While Kubernetes enables your team to deliver more value, more rapidly, cost discussions around Kubernetes — and Kubernetes cost monitoring — can be difficult. You have disposable and replaceable compute resources constantly coming and going, on a range of types of infrastructure. Yet at the end of the month, you just get a billing line item for EKS cost and a bunch of EC2 instances.

The age of growth-at-all-costs is over. Profitability matters — and it matters now. For SaaS companies who rely heavily on the public cloud, understanding what’s driving (or hurting) profitability can be tricky. Different customers have different needs and usage patterns, drive different levels of cost, and impact profitability unequally. Cybersecurity has played a central role in CloudZero from the beginning —or really, before it.

Cloud computing offers several advantages over legacy on-premises systems, including cost, scalability, and performance. Today, Amazon Web Services (AWS) offers over 200 cloud services that can integrate seamlessly with your existing workflows, making it one of the most popular public cloud platforms. AWS strives to make its tools easy to use, but managing resources and services can be challenging.

Managing gas bills has a lot in common with managing cloud spend. In the summer, our gas bill increased with our summer adventures. Sitting home with the kids out of school and the warm summer months was not an option. Likewise, while discounts on gas certainly help, in reality they do not put much of a dent in the overall bill. The cheapest gallon of gas is still the one not used. If you’re a modern cloud-native business, you can’t just stop using the cloud.

When you’re operating in the cloud, making the right decisions is not always easy because there’s a lot of ground to cover, especially with regard to cost. The elastic nature of cloud infrastructure means your costs could quickly spiral out of control if you don’t have guardrails in place to help keep costs down. Properly managing your cloud costs is important, especially for SaaS companies. Cloud spend impacts your COGS, which in turn affects revenue and valuation.

Managing containerized applications or microservices can be difficult. It is even more demanding and error-prone if you do it manually. So, what’s the alternative? Container orchestration. Container orchestration is an automation technology that helps engineers coordinate when containers start and stop, schedule and execute tasks, manage failovers, and perform recovery processes. The technology helps automate these tasks throughout a container's lifecycle.