Operations | Monitoring | ITSM | DevOps | Cloud

We all want growth, but often find ourselves unequipped to deal with it. It’s a bit like going to the gym, lifting weights, and seeing real results, only to realize that you no longer fit into your old clothes. Now you have to decide whether to modify them or buy new clothes. We can use this very simple analogy to understand horizontal vs. vertical scaling.

Google Cloud Platform (GCP) might not always be the loudest name in the cloud room. But it’s gradually become a powerhouse for organizations running data-intensive, AI/ML, and global-scale applications. We also can’t ignore that GCP offers a backbone powered by Google’s own infrastructure (the same one that runs YouTube, Gmail, and Search).

The cloud storage market is currently worth an estimated $124.57 billion and is expected to grow to $425.76 billion by 2030, with a Compound Annual Growth Rate (CAGR) of 24%. As a result, businesses are looking for ways to expand their services and gain a slice of this highly profitable industry by becoming cloud storage resellers. Cloud storage reselling is a means for IT suppliers to create their own cloud platform for customers by partnering with existing cloud providers and reselling their product.

Amazon RDS simplifies database management, however disk I/O bottlenecks can affect performance, especially as workloads grow. Let's learn how to identify and fix I/O issues using AWS best practices and about Site24x7's monitoring tools for MySQL and PostgreSQL.

Cloud computing was already booming before 2020. But in the following two years, remote work flourished, and cloud adoption soared. The trend continues to accelerate — even faster now. Some companies have since returned to the office. Others are adopting hybrid models, balancing work-from-home and in-office. Yet, there’s more to the rise of cloud computing than remote working.

As AI adoption increases, the race to real, durable AI value intensifies. Almost every organization that can use AI is using AI — but one of the most troubling trends I’ve observed revolves around talent. Right now, most organizations use AI to increase internal efficiencies — do quick research, write quick emails, start a new project at the 50% mark rather than the 0% mark, etc. But some executives I’ve talked to are taking a more aggressive approach.