In the last decade-plus, the cloud has undergone a torrid evolution. Born in 2006, the cloud didn’t face the same speed limits on evolution that we mortals do. Within years, the cloud had gone from competitive edge to competitive necessity; within a decade, specialized services like Kubernetes, Snowflake, and Datadog had emerged to help us use it more, more flexibly, and with a more data-driven strategy. As the cloud evolved at an exponential rate, so did the costs associated with using it.

AWS Lambda can be an easy-to-implement solution for those looking for serverless application deployments and operations. However, how can you be sure that you are getting the most for your money when it comes to utilizing this service? This guide will explain some of the tools and resources at your disposal — whether you’re utilizing the AWS console, trying to optimize your code and design, or a combination of the two.

There are several ways to migrate to the cloud today — None of which are an equal path to modernizing on-premises applications and workflows. Lift and shift migration promises cost savings, speed, and less effort compared to other cloud migration strategies. But are these claims true? In this guide, we’ll cover whether a lift and shift migration strategy actually saves you money and effort when migrating to the cloud.

Getting engineers to take action to optimize spending can feel like an eternal struggle for many cloud-based companies. In fact, this particular issue is consistently considered to be one of the number-one cost challenges modern companies face. Thankfully, it doesn’t have to be this way. Below are a few creative ways companies have gamified FinOps practices to make the learning process more interesting and rewarding for engineers.

At CloudZero, we’re in the business of driving positive business change. Whenever we work with a client, our goal is to share insights rooted in our FinOps perspective and platform expertise that helps customers save on cloud costs and build strategies for engineering-led optimizations. Each experience is curated for the clients FinOps maturity stage and unique business goals; that’s what personalized service is all about.

There are several high-performing database services available on Amazon Web Services (AWS). When you need to handle caching, Online Transaction Processing (OLTP), real-time data, session stores, or personalization, you can choose one of these options. Examples of these high-performance database services include Amazon RDS, Aurora, MemoryDB, DynamoDB, Neptune, and ElastiCache. We often get questions about which AWS database service is best between RDS and Aurora.

The Slack messaging app is popular because it is easy to use, affordable, and highly customizable. With Slack, you can collaborate in teams and with colleagues in real-time, accessing files from anywhere. Slack is also widely used because it enables users to create and join channels. In addition, it integrates with multiple apps and services, working seamlessly with the tools you already use. In addition, Slack offers cost-effective pricing plans.

CloudZero’s overarching goal is to help companies maximize the return on their cloud investment. To do that, it’s essential that engineers be accountable for their cloud costs. They must prioritize cost equal to quality and security and keep costs in check from the earliest days of development through the most advanced stages of production. Year after year, getting engineers to take action tops the list of challenges FinOps practitioners face.

Capital One offers a variety of financial products, such as credit cards, financial accounts, and auto financing. Now, Capital One might appear as a leading financial institution. But it views itself as a technology company that provides financial services — rather than a financial services company that uses technology. Capital One has differentiated itself as an innovator throughout its 30-year history.

Amazon Simple Storage (S3) has become a cornerstone in the world of cloud computing, offering scalable and secure object storage solutions for a wide range of applications. However, as data accumulates over time, managing it in an efficient manner becomes a challenge. This is where S3 Lifeycle Rules shine. These rules allow us to automate the transition of data between different storage classes and even schedule automatic deletions, which allows users to optimize costs and operational efficiency.