The latest News and Information on Cloud monitoring, security and related technologies.
OpenStack vs AWS is a discussion that almost every organisation must conduct when adopting a cloud strategy. This is because OpenStack and AWS are undoubtedly some of the most popular cloud technologies in both public and private cloud space. While AWS is the most popular commercial cloud platform, OpenStack remains its most popular open source equivalent. Both have their own pros and cons. But which one is better for you?
At FlashDrive.io we use every day and love modern static websites frameworks like Gatsby, Hugo, Jekyll, and more. Gatsby, for its huge community and user base, is the first framework to have a complete build add-on developed on FlashDrive and we love playing with Gatsby every day (some of us are even a little too more invested in the project... we love you E, but get back to work!!). What's also great with Gatsby is that it comes with a large set of plugins to connect with various CMS.
The term ‘cloud native’ has become a much-used buzz phrase in the software industry over the last decade. But what does cloud-native mean? The Cloud Native Computing Foundation’s official definition is: From this definition, we can differentiate between cloud-native systems and monoliths which are a single service run on a continuously available server. Like Amazon’s AWS or Google Azure, large cloud providers can run serverless and cloud-native systems.
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.
