The Newsroom

Source: ITProPortal Continuous intelligence is different to real-time analytics. How will this approach help enterprises work in real time?

Source: Informationweek The escalation of data and workloads in the cloud calls for continuous intelligence to maintain order

Source: DevOps Digest As part of DEVOPSdigest's 2020 predictions, industry experts offer predictions on how Cloud and related technologies will evolve and impact DevOps in 2020. Part 1 covers Hybrid IT and Multi-Cloud.

Cloud is everywhere. It is at the heart of data storage and computing power and without it, IT would not have been able to develop half as quickly as it has done. However, despite its all-round worthiness, it can be costly and competitive. With such fierce rivalry in place, Sumo Logic, a continuous intelligence platform, is working on a way to reduce costs of running real-time analytics and archiving data. After the organisation’s announcement for an On-Demand and Archiving Service, Mark Pidgeon, Vice President Technical Services at the company talks to us about what the plans will mean for the cloud, and at what point they realised that something needed to change.

Source: The Next Web New communication models could mean new ways of doing security

Source: HelpNetSecurity When Jordan Liggitt at Google posted details of a serious Kubernetes vulnerability in November 2018, it was a wake-up call for security teams ignoring the risks that came with adopting a cloud-native infrastructure without putting security at the heart of the whole endeavor.

Source: Analytics Insight The conventional tools to ensure cybersecurity are not sufficient in today’s world especially in 2020 where using just anti-malware software or login audits will not work at par with rising threats. Organisations need more resources and powerful infrastructure to resist any type of data breach. To enable such strength, they need to embrace AI/ML and automation to fortify their company and company data against malicious intentions.

Source: The New Stack Kubernetes is extremely intelligent technology, but without the right direction, it can respond in unwanted or unexpected ways. As is true with most “smart” technologies, it is only as smart as the operator. In order to set teams up for peak success with Kubernetes, it is vital they have a pulse on their Kubernetes clusters. Here are five ways that engineers can best identify any loose ends when setting up a Kubernetes cluster and ensure the healthiest workloads possible.

Source: Dark Reading If your business counts among the unlucky that are trapped using an end-of-life or end-of-support OS, what can you do in the meantime to protect your environment?