Cloud-native applications running on Kubernetes rely on container network plugins to establish workload communication. While Azure Kubernetes Service (AKS) provides several supported networking options (kubenet and Azure CNI) that address the needs of most deployments, Microsoft recently introduced the ability to bring your own networking solution, called BYOCNI, to help users address more advanced networking requirements. This new feature enables AKS customers to run Calico networking on AKS.

The utilization of spot instances can be one of the fastest and easiest ways to drastically reduce the compute costs of your Spark infrastructure when you run in the cloud. In this article, we will discuss two techniques specific to Spark on Kubernetes, Enhanced Spot Instance Selection and Executor Decommissioning, that can both remove some pitfalls of spot instances and increase the reliability of your compute – resulting in faster, cheaper applications.

Three great things that do not always work great together. In the beginning there were large computer systems that few organizations could afford. Over time these systems became smaller and cheaper and many (if not most) organizations took advantage of them. Some just at the end-user level (i.e. the IBM PC on the desk), some only at the high-end level (i.e. a mainframe in the data center with terminals on desks), and some in a combination of both (anyone remember Reflection?).

You're not alone if you have trouble visualizing, measuring, and controlling your IT costs. Whether public or private, cloud computing can add to the cost problem. That’s because cloud computing offers on-demand resources, so misconfigured infrastructure, an overzealous engineer, or a blindsided operations team can do something that leads to a surprise cloud bill at the end of the month. But not so fast. What is cost optimization, and why is it different from IT cost reduction?

Depending on your available resources, data analysis can take place at the edge or in the cloud, but businesses don’t need to choose one location over the other. There are benefits to giving the edge autonomy to collect, process, and act on data locally. Data replication helps maintain edge autonomy and makes it easier for users to get the data they need, where they need it.

Cribl.Cloud’s Summer 2022 release is now available in an AWS cloud near you! As part of this release, we are excited to share the features we have been building, including the latest Cribl product releases (Stream 3.5 and Edge 3.5). This release brings some much-requested features that will help customers increase their compliance, reduce overall costs, and deploy a more resilient observability data pipeline.

Most of us picture cloud security threats as bad actors in some hostile country. More often, it’s you and your coworkers. Talk about cloud security and you’re likely to discuss provider-focused issues: not enough security, not enough auditing, not enough planning. However, the biggest cloud security risks continue to be the people who walk beside you in the hallways.