There’s more to running a cloud service provider (CSP) business than simply offering an excellent service. Chances are, in time, you will want to grow and scale. However, for many, this is intimidating. Where do you start? How can you create sustainable profit? Even the most progressive CSPs face challenges; they haven’t just built a high-quality customer base out of thin air.
Flexera’s State of the Cloud Report 2022 pointed out that significant cloud spending is wasted, a major issue that is getting more critical as cloud costs continue to rise. In the current macroeconomic conditions, companies focus on identifying ways to reduce spending. To effectively do that, we need to understand the pricing model. We can then work towards the challenges of cost monitoring, optimization, and forecasting.
The ‘last mile’ is a term used in the logistics and telecommunications industry to characterize the obstacles businesses face trying to deliver products to customers during the very last part of their supply chain. You might have a world-class infrastructure, high-end technology, and the most sophisticated processes and skilled resources, but if your product doesn’t reach the customer at the right time and place, your business suffers.
Developing a strategy for integrating data across your organization helps ensure that everyone has access to the most up-to-date data in a secure way. This article provides an example of a strategy you can use to develop your own. Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.
Containers have long been used in the transportation industry. Cranes pick up containers and shift them onto trucks and ships for transportation. Container technology is handled in a similar vein in the software world. A container is a new and efficient way of deploying applications. A container is a lightweight unit of software that includes application code and all its dependencies such as binary code, libraries, and configuration files for easy deployment across different computing environments.
In my work as a technical evangelist at Cribl, I regularly talk to companies seeing annual data growth of 45%, which is unsustainable given current data practices. How do you cost effectively manage this flood of data while generating business value from critical data assets?
Observability is a measure of how well we are able to infer the internal state of our application from its external outputs. It’s an important measure because it indirectly tells us how well we’d be able to troubleshoot problems that will inevitably arise in production. It’s been one of the hottest buzzwords in the cloud space for the last 5 years and the marketplace is swamped with observability vendors. Different tools employ different methodologies for collecting data.
