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10 FinOps Diagrams To Help You Better Understand The Value Of FinOps

By now FinOps has proven its value — so much so that the web is full of helpful in-depth guides, broad overviews, bite-sized articles, and resource lists on the subject. But if you're preparing to pitch a FinOps program at your company, you need to convey only the most important points in a way that's both impactful and succinct. That's when it's time to call in the visuals.

Integrating Azure Files with Windows Server

In today’s digital world, where data is considered the new oil, organizations are consistently looking for efficient ways to store and manage their invaluable information assets. Microsoft’s Azure Files and Windows Server are two technologies at the forefront of this technological evolution.

Using Kubernetes with AWS Lambda: Scaling Up Your Serverless Applications

In today’s world, with Large tech giants and businesses looking forward to moving toward serverless architecture, there has been a significant demand for scaling the applications. It’s therefore no surprise that millions of companies worldwide have adopted, or are planning on migrating to a Kubernetes and AWS Lambda solution to take their serverless applications to the next level.

Top Microsoft Azure Cloud Services Explained with Use Cases

Microsoft Azure is one of the most comprehensive and broadly adopted cloud service providers in the industry, offering over 200 fully featured services from data centers globally. A wide spectrum of organizations across all verticals use Azure – to lower costs, become more agile and innovate faster. Tight integrations with the Microsoft ecosystem and product portfolio make Azure highly attractive to many.

Help reduce resource consumption: Put your preview environments on pause

With Platform.sh, every Git branch maps to a preview environment which is an exact and isolated copy of your live application—including all data, services, and files. They are usually created to build new features, apply security patches, or upgrade dependencies in full isolation and before deploying to production. Although there is a catch—preview environments are often left idle waiting for someone to review and approve any changes made.

The Top FP&A KPIs And How To Choose Yours

You know this by now. You can only improve an area of your business if you measure its health and performance. Yet, rather than collecting every general finance metric possible, you’ll want to plan, collect, and analyze the Key Performance Indicators (KPIs) that’ll drive strategic decision-making. That means KPIs are a subset of metrics that are most relevant to your goals as a team. Here’s how to leverage the right KPIs as an FP&A team.

Maximize Long-Term Savings From Cloud Providers with Densify

One of the first considerations for FinOps teams trying to lower their public cloud spend is investing in long-term savings vehicles available from their Cloud Service Provider. These programs can provide customers with upwards of 72% savings off on-demand prices, in return for a 1-to-3-year usage commitment, so it’s pretty common that we see them in use by our customers.

How Qovery Could Have Saved Time and Effort in Compare the Market's EKS Migration

During the AWS summit in London, Renee Hunt, the CTO of Compare the Market, shared their journey of migrating from EC2 to EKS and the obstacles they faced along the way. As I listened to their story, I couldn't help but think about how Qovery could have greatly streamlined its migration process; here is my take on the subject.

Optimizing cloud resources and cost with APM metadata in Elastic Observability

Application performance monitoring (APM) is much more than capturing and tracking errors and stack traces. Today’s cloud-based businesses deploy applications across various regions and even cloud providers. So, harnessing the power of metadata provided by the Elastic APM agents becomes more critical. Leveraging the metadata, including crucial information like cloud region, provider, and machine type, allows us to track costs across the application stack.