Operations | Monitoring | ITSM | DevOps | Cloud

Many often wonder, “Is there a difference between observability and monitoring?” The thing is as IT environments have become more complex, monitoring alone has become increasingly less effective. That’s because while monitoring is crucial, it isn’t particularly suited to tracking unforeseen or unexpected turns of events. That’s what observability is meant for. This guide will clarify what observability and monitoring are – and how they differ.

Azure provides a wide array of services, each with its own pricing model. Conducting detailed cost analysis helps organizations understand where their money is being spent within Azure. It allows them to identify areas of overspending or underutilization and optimize their resources accordingly. By analysing costs, organizations can identify unused or underutilized resources and either scale them down or decommission them altogether.

Proper backups are universally acknowledged as essential, yet they grow increasingly tedious and prone to error as DevOps complexity escalates. While some managed database services offer automated backup solutions, the scope of your backup requirements is likely to expand as the business and products scale. There's a considerable chance you'll find yourself hosting your own databases or stateful services, a task that can seem daunting in its demand for precision and reliability.

Research firm, IDC, published a study in early February 2024 predicting that Google Cloud Platform (GCP) customers break even after just 10 months. Moreover, the study, The Business Value of Google Cloud IaaS, reported that after migrating to GCP, the participants were on track to achieve a 318% ROI in five years. Here’s the thing. Achieving these milestones requires a robust GCP cost monitoring and optimization plan.

Your business could be spending tens of thousands on SaaS applications—but are you really using them to your full advantage? Research says probably not. Today, the average business uses 130 SaaS apps for day-to-day operations, a number that has steadily climbed over the past decade. Of those, 65% fall under the veil of shadow IT, meaning the IT team is unaware they were ever adopted.