The latest News and Information on Cloud monitoring, security and related technologies.
A unified cloud infrastructure data model is fundamental for enterprises using multiple cloud vendors. Enterprise customers prefer to use multiple cloud vendors as a way to prevent being locked in and dependent on specific platforms. According to Gartner the top vendors for cloud infrastructure as a service in the years 2017-2018, are Amazon 49.4%, Azure 12.7% and Google with 3.3%.
Even with a complete understanding of the benefits that come with running a hybrid environment, companies are still challenged with digital transformation best practices: what to move, when to move it, what’s being spent, how it’s performing, and what’s being overutilized and underutilized. This is why Amazon Web Services (AWS) is one of the most strategic partners in LogicMonitor’s ecosystem.
IAM is the de-facto method of authorization in AWS. Most Kubernetes “Quick Start” guides for AWS do not adequately cover how to manage IAM access in your pods. This blog series will first go over the security issues specific to AWS IAM on Kubernetes, then compare solutions, and then end with a detailed walkthrough for setting up your cluster with one of those solutions.
Today, we are excited to announce a huge step forward for Sysdig Monitor. We’re introducing the ability for our customers to use Sysdig to scale Prometheus monitoring to millions of metrics with long-term retention. The improvements we are releasing make Sysdig the first cloud-scale monitoring offering to deliver full Prometheus compatibility.
At this moment, billions of people are rushing to the internet for work, entertainment, shopping - everything, really. It’s great that we developed this virtual world and can keep the lights on, despite what’s happening outside. On the other hand, cloud systems and developers are under pressure to meet an unparalleled demand. At Dashbird, we have always thought developers deserve the most efficient tools to discover and resolve issues in order to keep cloud apps running smoothly.
Andreessen Horowitz recently published a blog about the Heavy Cloud Costs and Scaling Challenges of The New Business of AI, in which they describe how AI companies are facing cloud cost challenges, which are impacting their margins. As someone who used to manage a fully home-grown on-site distributed speech recognition platform for an industry leader, I know firsthand that ML can be expensive and challenging to maintain. However, it doesn’t have to be.
