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.

Organizations are shifting to cloud computing to optimize operations and cut costs. Cloud migration involves transferring data, applications, and other elements to cloud infrastructure. This step is crucial for improving scalability, flexibility, and performance. Yet cloud migration comes with challenges. It needs careful planning, execution, and management to ensure a smooth transition to effective cloud use. Cloud migration tools address these challenges.

Amazon Web Services (AWS) offers Fargate, a serverless container service that eliminates the need to manage underlying infrastructure. Containers ensure applications run reliably across different computing environments without the overhead of server management. Fargate works with Amazon Elastic Container Services (ECS) and Amazon Elastic Kubernetes Service (EKS). It allows developers to focus on building their applications, offering enhanced security through isolation.

Cloud computing provides significant benefits over on-premises computing, including the ability to expand operations without purchasing new hardware. But there’s more. With cloud computing, you can adjust compute resources to meet changing demands. For example, you can buy extra online storage for your chatbot system as you receive increasing customer inquiries over time. You’d pay for as much online storage as you use.

It’s no secret. Competition is more than fierce in SaaS; it’s also bitter. The competition will enter any market, area, and idea as long as there’s money to fund it — even if the margins are close to zero. Having an observability tool like New Relic or New Relic alternatives can be the key to protecting your margins. A few hours of service disruption, a software bug, or unoptimized code deployment can significantly impact customer experience.