Almost everyone who’s used Amazon Web Services (AWS) has used Amazon simple storage service (S3). In the decade since it was first released, S3 storage has become essential to thousands of companies for file storage. While using S3 in simple ways is easy, at a larger scale it involves a lot of subtleties and potentially costly mistakes, especially when your data or team are scaling up. Here are the most important things about AWS S3 that will help you avoid costly mistakes.

Kubernetes (K8s) packs a ton of benefits as a container orchestration platform. For instance, K8s is big on automation. This includes automating workload discovery, self-healing, and scaling containerized applications. Yet, Kubernetes isn't always production-ready after a few tweaks. This guide shares crucial Kubernetes best practices you'll want to start using immediately to improve your K8s security, performance, and costs. Let’s get to it!

It’s a wrap! From October 24–28, the Pepperdata team attended KubeCon + CloudNativeCon North America 2022, which brought together top engineers and developers from communities centered around Kubernetes and cloud native. With topics ranging from container observability practices to K8s innovations, Pepperdata unveiled the latest offering of its own: Autonomous FinOps for Kubernetes.

In the last few years, the usage of databases that charge by request, query, or insert—rather than by provisioned compute infrastructure (e.g., CPU, RAM, etc.)—has grown significantly. They’re popular for a lot of the same reasons that serverless compute functions are, as the cost will scale with your usage. No one is using your site? No problem: you’re not charged.

Setting FinOps KPIs helps keep your whole organization aligned toward the same financial goals. However, it takes more than simply setting a broad, company-wide financial goal and turning every employee loose to work on that goal without more specific directions. It’s far better to come up with realistic and achievable goals tailored toward each person or team that will be responsible for them. That’s because KPIs should ideally be focused around the typical persona of each team.

Typically, startup founders and executives must meet with their board of directors each quarter to review the progress of the company. They may talk about broad topics such as total costs and total revenue, and use these numbers as a guide to determine which moves the company should make in the near future. Often missing from the conversation, however, is a clear and detailed discussion of SaaS metrics.

It can be a challenge to measure costs within a SaaS company. While a business with physical inventory can count the number of items sitting on the shelf and the money needed to create, store, and ship those items, operating within the cloud means SaaS companies have to measure their costs through a layer of abstraction. The number of users a given product supports and the resources needed to keep that product up and running could change by the minute.

At CloudZero, the thing we do better than any other cost solution is connect the dots between cloud cost and your businesses. While other solutions offer reporting and dashboards that answer, “How much did we spend?”, CloudZero also enables you to answer “Why?”. Was it because you onboarded a new customer? Did your team push new code? Or did usage of a feature tick up after some clever UX adjustments?

The Kubernetes platform is the standard for orchestrating containerized applications. It’s ideal for large applications running on distributed instances. The problem is that monitoring Kubernetes infrastructure can be notoriously challenging. In this guide, we'll cover Kubernetes monitoring in more detail, including what Kubernetes metrics to track to improve visibility and control over your K8s containers, apps, microservices, etc.

Identifying great business optimization opportunities is tougher than it seems. You often need to weigh the projected revenue and costs of taking a new path against the potential opportunity costs of not taking that path. Not only is this an apples-to-oranges comparison, but also a “what if” scenario riddled with variables. For instance, what if slashing costs makes the customer experience so much slower and more frustrating that sales decline and you wind up losing revenue?