The latest News and Information on Cloud monitoring, security and related technologies.
In this first edition of our Customer Spotlight series, we are joined by James Kahn and Ben Gittins of Idea 11. Idea 11 is an award-winning, full-stack AWS IT company that specializes in digital transformations, cloud infrastructure, software development and managed services.
It could be argued that consumer broadband networks have historically been poor neighbours of business networks, with CSPs investing more funds in providing better SLAs to their higher paying business customers. But like it did for many of our pre-set ideas, the pandemic turned the tables around for broadband priority. Forced work from home policies, remote learning, and quarantines have effectively turned consumer broadband into business/educational/health broadband services for many.
Organizations are migrating an increasing amount of their infrastructure into the cloud. The cloud provides organizations with a number of benefits like greater scalability, improved reliability and faster time to value. However, these potential benefits can be offset if security is an afterthought.
Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of the universal Operator Lifecycle Manager (OLM) using Juju, a universal OLM, to create and manage on premise AI infrastructure.
One of the most powerful aspects of AWS is their Identity and Access Management (IAM) service. The obvious aspect of its power is that it controls who can do what with all the resources inside your AWS account. But the non-obvious side is how configurable it is. You can encode permissions that are so finely grained that a Lambda Function could, for example, be given just enough permissions to be able to read one attribute from one record for the current user of a DynamoDB Table.
One of the major concerns when moving to the cloud is how to approach AWS S3 security. Companies may have moved their workflows to Amazon, but are still cautious about moving their data warehouse. And that is totally understandable. We have all heard about data breaches in companies like Facebook, GoDaddy, and Pocket. It’s important that access to information is done properly, in a limited and controlled fashion, to avoid such breaches.
Running and troubleshooting production services requires deep visibility into your applications and infrastructure. Virtual machines running on Google Compute Engine (GCE) provide some system logs and metrics without any configuration required, but capturing application and advanced system data has required the installation of both a metrics agent and a logging agent.
