Efficient code can be defined by numerous factors, in addition to what others deem necessary based on their experiences. Per this article, we will define it as: Measuring and comparing your code on its design, optimization, and performance; while considering its use cases, compute resources, quality, scalability, and structure. Along with our definition, it is important to understand some key concepts before we dive further into some best practices and additional support to contextualize our definition.

Picture this. Half of organizations say their cloud bill is too high. And, only three out of ten organizations know exactly where their cloud spend is going. That’s according to the State of Cloud Cost Intelligence Report we released based on a survey of 1,000 engineering and finance professionals. Here’s the thing. This cloud cost management challenge isn’t limited to just a single cloud service provider.

Amazon Web Services (AWS) has emerged as the leader in cloud computing. As the dominant cloud service provider, AWS offers a vast array of solutions encompassing computing power, storage options, and networking capabilities to businesses across the globe. Its popularity stems not only from its comprehensive services, but also from its scalability, allowing businesses of all sizes to expand their cloud footprint without unprecedented ease and flexibility.

The modern software development lifecycle comprises two key phases: continuous integration (CI) and continuous delivery or deployment (CD). In both stages, automation reduces manual labor, minimizing human errors. That enables DevOps teams to focus on mission-critical work instead of continually fixing mistakes. Automating CI/CD also provides a check and balance system for rolling back errors. Aside from ensuring optimal system performance, this also improves other areas, like security and compliance.

When Amazon Web Services (AWS) launched its new Arm-based processors, some circles believed it was a game-changer for the public cloud markets. To begin with, it was the first time Arm architecture would roll out for enterprise-grade utility, and at a colossal scale. Arm processors had only run on smaller, less demanding devices such as iPhones. So why adopt it for much more demanding workloads in cloud services?

Automation is the result of taking a manual task or process and making it automatic with little to no manual intervention. It plays a crucial role in optimizing your cloud spend, as it can be applied to save several hours in various scenarios within your service’s operation. Here, at CloudZero, discussing automation is no stranger to us. We have information about what automation is and some common tools to help in this guide.

The beginning of a new year is a time ripe for innovation. But implementing new ideas to scale quickly while keeping cloud costs down is a delicate balance to strike. January’s cloud cost news brings positive shifts in the market from AWS, Google, and SAP.

This is part two of seven in our Frugal Architect blog series. Read part one here. 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” (check out the whole framework here). What is “The Frugal Architect”? A constitution of sorts for how engineers can build high-functioning, cost-efficient cloud software.

DevOps emphasizes continuous improvement, rapid delivery, and cost optimization. It does this by recommending several engineering best practices you can implement in your IT environments. DevOps also emphasizes automation to improve efficiency and engineering velocity in software delivery. In this guide, we will cover the importance of DevOps monitoring. This will include what to monitor and a list of some of the best monitoring tools for DevOps teams.

Navigating the cloud computing landscape often involves a delicate balancing act between leveraging available resources and managing costs. Amazon Web Services (AWS), a leader in cloud services, offers an enticing proposition through its Free Tier, especially with services like Amazon EC2 and RDS. These offerings present a unique opportunity for IT professionals to push the boundaries of cloud computing, but they also pose the challenges of staying within budgetary constraints.