Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes orchestration isn’t getting any simpler. Today, teams are pushing into AI/ML, edge computing, and multi-cloud automation. And with that, you may be looking beyond Rancher. This guide walks you through today’s top Rancher alternatives, from enterprise-grade platforms like OpenShift to leaner developer-first tools like Lens and Portainer. With this intel, you can then decide which one fits your evolving stack, budget, and business goals.

Author Jeff Duntemann said a good tool improves how you work, whereas a great tool transforms your thinking. Companies that want to improve their cloud-based operations can rely on cloud metrics as an effective tool for transforming their cloud operations. You can’t fix what you don’t measure. Cloud metrics are the logs of data that a cloud infrastructure or application generates.

Google Cloud released Google Kubernetes Engine (GKE) as a commercial version of native Kubernetes (K8s). GKE promises a user-friendly, reliable, and cost-effective service. Yet calculating GKE costs can be daunting, including understanding what you’re paying for and maximizing your return on investment. In this GKE pricing guide, we’ll discuss how GKE pricing works, what it costs, and more.

You spun up Azure SQL for your app backend, added Cosmos DB for global performance, and let your devs explore PostgreSQL freely. Everything worked — until the invoice hit. Your engineers need high availability and performance. Your CFO wants predictability. And you’re stuck trying to untangle what, exactly, is driving your Azure bill. You’re not alone. Between service types, pricing tiers, and throughput models, Azure database pricing can surprise even experienced teams.

Many companies are rapidly adopting cloud-native computing services, like containers, microservices, and serverless computing. Unlike monolithic applications, these technologies rely on distributed architectures. Whether you are running them in the cloud, on-premises, or both, distributed systems consist of thousands or millions of processes and components. The challenge now is to make these complex systems’ inner workings visible, controllable, and improvable.

In recent years, cloud financial management has evolved beyond what many cloud stakeholders anticipated. The overwhelm has led too many companies to struggle to accurately monitor, allocate, and optimize their cloud costs. This issue cost companies about 30% of their cloud budgets in 2022 alone, according to Gartner. With FinOps, you can prevent this bleeding without sacrificing innovation. Yet, taking a manual approach to FinOps can be inefficient and error-prone.

Kubernetes (K8s) is the most popular container orchestration platform today. But it can also be quite complex. To overcome this management challenge, you can deploy your Kubernetes containers using the Google Kubernetes Engine, which is a fully managed service. Yet, to get the most from GKE, you still need to follow best practices. The following tips and best practices for monitoring GKE clusters will help you get started.

Amazon promotes its RDS as a scalable, high-performing alternative to traditional databases, backed by automation and reliability. It’s popular among teams looking to offload maintenance and improve availability. But while the service is robust, costs can rise quickly depending on how it’s used. This guide explains how Amazon RDS pricing works. In addition, we’ll discuss how to understand, optimize, and view your RDS costs. But first…

AWS remains the largest cloud service provider (CSP) of the 21st century. It also provides over 240 cloud-based products and services. In some cases, these services help customers like you collect, analyze, and act on data about cloud usage and related costs. In this post, we explore how AWS services support FinOps’ best practices, including the features they offer. If you are looking for even more robust AWS FinOps tools, we will also include third-party platforms.

Although Amazon Web Services (AWS) still holds about a third of the cloud services market, Google Cloud Platform (GCP) has grown rapidly in recent years. Among the reasons for GCP’s rapid adoption is its simpler pricing structure compared to Amazon Web Services and Microsoft Azure. Is that really the case? And how do AWS and GCP pricing differ? But first, a quick background.