Operations | Monitoring | ITSM | DevOps | Cloud

You’re a responsible SaaS company leader, so you understand the importance of tracking your cloud costs in detail. Perhaps you’ve even begun working with us at CloudZero, and you’re starting to see data and insights hit your dashboard. If so, you may have noticed — because this happens to all of us in the SaaS world at some point — that some customers cost your business far more than others. Suppose you’re also tracking your revenue per customer.

Cost optimization within cloud services is not just about cutting services; it’s about investing resources wisely to achieve greater efficiency and growth. Amazon Web Services (AWS) continues to be a leader in providing solutions that help businesses manage and optimize their cloud spending. This guide aims to guide you through the complex world of AWS cost management, highlighting key indicators and tools essential for keeping your cloud expenses in check.

Microservices architecture is a method of developing software systems that structures an application as a collection of loosely coupled services, each focusing on a single function or business capability. Each service operates within a discrete, confined context, communicating with other services through well-defined interfaces — typically APIs.

This is part one of seven in our Frugal Architect blog series. In case you weren’t as giddy as CloudZero was at re:Invent this year, we wanted to recount the seven laws outlined by Werner Vogels, Amazon’s CTO, which he’s bundled into a framework called “The Frugal Architect”. What is “The Frugal Architect”? A constitution of sorts for how engineers can build high-functioning, cost-efficient cloud software.

Modern applications are rarely created entirely from scratch. Instead, they rely on a framework of pre-existing applications and services, each adding specific features and functionality. These dependencies empower teams to build and deploy applications more efficiently, but they bring their own set of challenges. Tracking, managing, and updating these dependencies is difficult, especially in large, complex applications where dependencies are likely managed by different teams.

Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features? In this episode, you'll hear from Rob and Isaac, both Product Engineers who played a really critical role in the building out of related incidents, to get a peek behind the curtain.

Datadog Database Monitoring (DBM), which provides host-level and query performance metrics and insights for PostgreSQL, MySQL, and SQL Server, is now available for Oracle. Oracle is one of the most common database types, and now teams that operate Oracle databases can use Datadog to monitor these resources alongside telemetry from across their environments.

Azure VM Autoscaling is a feature provided by Microsoft Azure that allows to automatically adjust the number of Virtual Machines (VMs) in a specific scale set based on predefined criteria such as load, performance metrics, or a schedule. This post delves into the significance of autoscaling within Azure VMs, spotlighting its role in cost optimization, performance enhancement, and improved availability.