Operations | Monitoring | ITSM | DevOps | Cloud

Your IT infrastructure, resources, and components play a crucial role in your system performance, security, and overall health. Provisioning is often one of the very first steps toward setting up the right environment for your workload requirements – both locally and in the cloud. Here’s a handy guide to how provisioning works in IT. We’ll also share a tool to help you prevent overprovisioning and waste by automating provisioning in the cloud.

Chances are, you've heard one of the main promises of serverless compute: "you only pay for what you use". While convenient when starting a new project, once you start to get continuous usage on that compute, you start to realize you're paying a hefty premium for that convenience. If you're using AWS Lambda like I am, chances are that "for what you use" part isn't completely true either.

When managing data in the Azure Cloud, data extraction, transformation, and governance are the core of any organization’s data management strategy. Microsoft Fabric, combined with the Medallion Architecture design pattern, allows organizations to leverage the power of Azure to meet their goals by delivering reliable, governed data for business use and reporting.

Over the last few years, cloud-native has become a popular buzzword in the tech industry. There are cloud-native applications, cloud-native network functions, even cloud-native storage. But, like many buzzwords, the true meaning of cloud-native has itself become clouded by overuse.

Snowflake is special for several reasons. To begin with, its architecture separates storage and compute, making it fast, highly scalable, and efficient. Snowflake’s cloud-native, SaaS, and serverless approach also means you don’t have to worry about provisioning servers on-premises. Instead, you just need a Snowflake subscription; their team will handle the handy work on your behalf. At CloudZero, we use Snowflake for these and several more reasons.

Demystify your private cloud options with our comparison of AWS, Azure, Google Cloud, and Oracle Cloud. On a typical day at Megaport, our Solutions team helps a lot of customers with a lot of questions. And in my time here, I’ve noticed these questions often follow the same theme: What’s the best way to connect to their cloud service providers? The reality is that there’s no simple answer to this question.

Despite advances in technology, many businesses still struggle to effectively manage data in a cost-effective, secure, and manageable way. Cloud storage is becoming the go-to method for companies to store data, with 94% of major companies worldwide utilizing cloud computing. Corporate data also makes up 60% of data stored in the cloud. So as demands continue to grow, and compliance and data protection laws become more stringent, how can businesses effectively manage their cloud needs?

Managing observability across hybrid and multi-cloud environments is like flying a fleet of planes, each with different routes, altitudes, and destinations. You’re not just piloting a single aircraft; you’re coordinating across multiple clouds, on-premises systems, and services while ensuring performance, availability, and cost-efficiency. AWS customers, in particular, face challenges with workloads spanning multiple regions, data centers, and cloud providers.