Pricing matters. Charge too little and you won't earn enough revenue to stay afloat. Charge too much and you could lose thousands in potential business. Yet, you don’t want to price out some customers or cause others to feel you can’t meet their needs. So what can you do? This is where tiered pricing comes into play, and can be helpful for SaaS companies to meet the needs and budgets of each of their different customer personas.

The benefits of containerizing workloads are numerous and proven. But, during infrastructure transformations, organizations are experiencing common, consistent challenges that interfere with accurately forecasting the costs for hosting workloads in Kubernetes. Planning the proper reservations for CPU and memory before migrating to containers is a persistent issue Densify observes across our customers.

To have full visibility into modern cloud environments, businesses need to collect an ever-growing avalanche of log data from a range of highly complex data sources. Indexing logs is key for real-time monitoring and troubleshooting, but it can quickly become expensive at high volumes, meaning that organizations often must choose which logs to index and which to archive.

As organizations move their workloads into the public cloud, their environments gradually evolve. Initially, an organization tends to aim for a 1:1 migration of resources, typically in the form of virtual machines (VMs). Although this approach allows for an easier data migration path, it’s more costly and offers less flexibility than taking advantage of some of the serverless and Platform-as-a-Service (PaaS) offerings in the public cloud.

The evolution of Software Engineering over the last decade has lead to the emergence of numerous job roles. So how different is a Software Engineer, DevOps Engineer, Site Reliability Engineer and a Cloud Engineer from each other? In this blog, we drill down and compare the differences between these roles and their functions.

When you’re planning an application performance monitoring (APM) strategy, collecting metrics from storage services like Amazon S3 may not seem like a priority. After all, part of the point of object storage is that applications can read and write from storage buckets seamlessly, with minimal configuration and overhead. Unlike databases or file systems, storage buckets don’t require complex configurations that could lead to performance issues.

Managing technology isn't your only responsibility as a CTO. You could be the CIO, Digital Enabler, Data Officer, and Engineering Leader all rolled up into one, whether you work at a startup, scaleup, or enterprise. Your role as a C-suite executive for engineering requires you to research and implement the newest, most efficient technologies. As CTO, you’re responsible for: The list goes on and on.