Cloud flexibility is one of AWS’s biggest advantages, but it also makes costs harder to control. Without clear visibility into AWS spending, it’s easy for a monthly AWS bill to grow faster than expected. That risk is not theoretical either: Flexera’s 2025 State of the Cloud report found that 84% of organizations say managing cloud spend is their top cloud challenge.

Over the past decade, data has shifted from a byproduct to a core business asset. But having more data doesn’t automatically mean better decisions. In reality, most companies struggle with scattered, low-quality, or underused data, and that’s where the problem starts.

AWS Lambda is one of the most widely used services for building serverless applications, but getting consistent speed and stability from it is not automatic. Many organizations assume that serverless means performance is handled for them, yet in reality, systems often face latency, scaling, and execution issues that require active tuning.

Serverless computing is a perfect solution for startups — here are the benefits and examples of startups in serverless computing.

Cloud adoption often starts with speed in mind, but many teams run into the same issue later: a lack of structure. According to recent industry reports, over 70% of cloud initiatives face delays or cost overruns due to unclear processes and misalignment between teams.

Many teams start with a few AWS services and quickly end up managing dozens of tools, multiple accounts, and unclear spending patterns. Choosing AWS management tools becomes a practical problem. Which tools do you actually need? How do you avoid unnecessary complexity? And how do you keep costs, security, and operations under control as your system grows?

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