The latest News and Information on Cloud monitoring, security and related technologies.
The SIEM is a central point where data is collected and correlated, and as we move to consume more cloud services and data sets the SIEM itself must also change in architecture. Architecture change is hard to make for existing products. Calling a product a ‘cloud solution’ is not the same as taking an on-premises product and hosting it for customers. It means building a new SIEM for a new world. There are a lot of reasons users seek new SIEMs.
Recently, we released our new “Calico Certified Operator: AWS Expert” course. You can read more about why we created this course and how it can benefit your organization in the introductory blog post. This blog post is different; it’s an opportunity for you, the potential learner, to get a glimpse of just a few interesting parts of the course. You won’t learn all the answers here, but you’ll learn some of the questions!
At Grafana Labs, we are proud to be one of the largest code contributors to Cloud Native Computing Foundation projects. We are currently the leading company contributor to Prometheus, and also make substantial contributions to Cortex, Thanos, Jaeger, and OpenTelemetry. Our own open source projects — Grafana, Grafana Loki, and Grafana Tempo — have also become fundamental parts of the cloud native ecosystem.
In any case, by using the MITRE ATT&CK framework to model and implement your cloud IaaS security, you will have a head start on any compliance standard since it guides your cybersecurity and risk teams to follow the best security practices. As it does for all platforms and environments, MITRE came up with an IaaS Matrix to map the specific Tactics, Techniques, and Procedures (TTPs) that advanced threat actors could possibly use in their attacks on Cloud environments.
Industry 4.0 is taking every industry by storm with unprecedented advancement with innovative technology solutions. Its key technologies such as automation, AI, ML, Data Analytics and IoT enables industries to drive business operations with automated data-driven intelligence. Integrating the physical and digital systems, the manufacturing industry is increasingly adopting intelligent manufacturing in this Industry 4.0 era.
