Before we jump into cloud cost optimization, let us address the elephant in the room. Businesses are moving to the cloud but are struggling with unpredictable cloud bills. If you are a business owner who has moved to the cloud recently, you need to understand each cloud touchpoint and get a transparent view of your cloud services. When it comes to cloud cost optimization, there are many tools and techniques that organizations can adopt. Most of these can only take you so far.

Kubernetes (K8s) adoption has exploded over the past few years. But it hasn't been easy to monitor, manage, and optimize K8s costs. To provide greater cost visibility into Kubernetes clusters and environments, Kubecost launched in 2019 while OpenCost debuted in 2022. OpenCost has several founding contributors. But it is Kubecost that developed the cost allocation engine that the OpenCost implementation uses. Kubecost also announced the launch of OpenCost on June 2, 2022.

Cloud migration can be a powerful way for organizations to reduce costs and improve efficiency. However, simply moving to the cloud is not enough - there are a number of tactics that teams can adopt to maximize cost savings. In this article, I will first explore some common tactics that cloud migration teams use to reduce costs, then share advanced strategies that our most successful customers use to truly take advantage of the cloud for all of its far-reaching benefits.

Cloud waste has been costing companies billions of dollars for years now. In 2022, organizations spent roughly $490 billion on the cloud. Common estimates suggest that about 30% of cloud spend is wasted, meaning a whopping $147 billion of waste — the most in any year, ever. Organizations are set to spend nearly $600 billion on the cloud in 2023. Could you be wasting money trying to save money? Fortunately, cloud waste is preventable in most cases.

New Relic provides full-stack observability and monitoring. It provides almost every type of system monitoring under one platform. This includes monitoring tools for infrastructure, application performance monitoring (APM), synthetics, user, log, mobile, network, and Kubernetes components. DevOps, security, and business professionals use these capabilities to detect anomalies, analyze root causes, and fix software performance issues.

The conflict between engineers and finance is notorious. Finance thinks engineers just want to build cool products regardless of the cost. Likewise, engineers often feel their every move gets monitored by hawkish finance employees who seem to only care about costs. How can you, as a leader, encourage both teams to work together harmoniously? And what can you do to diffuse the situation when engineers feel attacked for their infrastructure choices?

Cloud optimisation enables organisations to significantly lower their cloud spending while ensuring the desired performance and necessary compliance. It’s a process that every business should adopt when choosing cloud infrastructure as a foundation for their applications. It’s been proven that applying cloud optimisation best practices leads to a total cost of ownership (TCO) reduction of two-thirds under certain circumstances. But let’s step back for a second.

MongoDB is a popular non-relational database among developers of distributed apps. This Not Only SQL (NoSQL) database system delivers versatility, high scalability, and a flexible querying model. MongoDB is also remarkable for its fault-tolerance, self-healing, and real-time analytics capabilities. But many companies also decry that MongoDB pricing is expensive and complicated. We’ll share how the MongoDB pricing model works.

Application performance monitoring (APM) solutions are essential for any business looking to manage its operations efficiently. By providing real-time insights into the performance of your applications, APM solutions can help you quickly identify areas that need improvement and prevent costly mistakes from occurring in the future. But with so many different types of APM solutions on the market today, how do you know which one is right for your company?

Public cloud users continue to get stung by unexpected costs due to the challenges faced when working with or moving workloads into the cloud. When organizations see this surge in their costs, it typically requires the process of cloud cost optimization to tackle the problem. Cloud cost optimization is the task of minimizing cloud spending by enforcing best practices and appropriate cost-efficient resources.