Operations | Monitoring | ITSM | DevOps | Cloud

The cloud offers on-demand computing resources, the ability to increase or reduce usage as needed, and the flexibility to pay only for what you use. But if you’ve been building on the cloud for some time, you know that the last part isn’t exactly straightforward. For example, leaving aggressive product features, engineering sessions, or testing projects unchecked can quickly waste thousands, even millions of dollars in a matter of days.

Republicans and Democrats don’t agree on much, but when it comes to generative AI, they’ve managed to find 32 billion points of agreement. On May 15, a bipartisan group of senators unveiled a roadmap that would have the U.S. government spending $32 billion annually by 2026 to drive AI-related innovation. The U.S. isn’t alone; AI spending in India is growing at an annual average rate of 31.5%, and will exceed $5 billion by 2027.

According to Amazon, EC2 Spot Instances can save you up to 90% of your spending on On-Demand Instances. It’s been proven that Reserved EC2 instances are cheaper than On-Demand ones. But, Spot Instances can offer even bigger discounts. Despite these cost benefits, Spot Instances have many caveats that make them unsuitable for some operations and processes. Even Amazon emphasizes this. Although this EC2 can save you a lot of money, some situations are best for On-Demand or Reserved Instances.

June was a hot month — both in terms of the temperature in North America and because of the FinOps news that has been rolling down the pipeline! (Around here, there’s always excitement in the air when a major FinOps event goes off without a hitch.)

As an engineer or CTO, you already know that monitoring your tech stack is essential for maintaining optimal performance, security, and health. The thing is, building and hosting an observability platform for your full stack’s logs, metrics, and more is quite time-consuming and can be costly. One of the top contenders if you are seeking a SaaS-based monitoring and observability tool is Datadog. Perhaps you already use Datadog but would like to switch to another observability platform.

The majority of cloud providers let you upload data for free. But moving that same data across their services, to another cloud provider, or back to your own data center comes at a cost commonly known as AWS egress costs. The cost may be cents per gigabyte (GB). But once you exceed the free tier’s 100 GB, it starts to add up. In this guide, we explain how AWS egress pricing works. With this understanding, along with the cost-saving tips we’ll share, you can reduce your egress costs like a pro.

You’re not alone if you’ve had trouble understanding Amazon DynamoDB pricing. Getting a handle on DynamoDB costs can be complex and tedious. But with the right tools and resources, it doesn’t have to be. In this bookmarkable guide, we’ll break it down step-by-step so you can tell what drives DynamoDB costs.

While CloudZero has always been a leader in the ingestion, allocation, and analysis of cloud cost data across the broadest set of cloud providers, our team is constantly working on ways to make it easier for customers to get the absolute most value out of the data they send to our platform.

Automation is something you hear a lot about in cloud computing. When done well, it helps save time and eliminates human error. Automation can also help you innovate faster because it frees up your IT talent to focus on innovation – rather than repetitive tasks. But did you know cloud orchestration could be the real reason for those benefits — and not really cloud automation?

Azure storage pricing can be complex, with multiple tiers, storage types, and payment options to consider. This complexity can lead to unexpected costs, ruining your Azure cloud budget. Additional fees for read/write transactions, metadata storage, snapshots, and early deletion fees can add up. The good thing is you can review and adjust your storage configurations to minimize unnecessary costs.