Operations | Monitoring | ITSM | DevOps | Cloud

Big data security is a term used for all collective measures taken to protect both data and analytical processes from theft, attacks or all other malicious activities. Just like other forms of cybersecurity, big data security is about attacks originating from every online or offline sphere. Companies operating on the cloud face multiple challenges including online information theft, DDoS attacks and ransomware.

Let’s talk visibility for a moment. Security visibility is a data-at-scale problem. Searching, analyzing, and processing across all your relevant data at speed is critical to the success of your team’s ability to stop threats at scale. Elastic Security can help you drive holistic visibility for your security team, and operationalize that visibility to solve SIEM use cases, strengthen your threat hunting practice with machine learning and automated detection, and more.

With the pandemic forcing businesses worldwide to reboot, many have no choice but to exact drastic cost-cutting measures to keep the lights on. Cloud computing is an expense incurred by every digital business that, unlike many other operating costs, is largely variable.

Over the last few months, I’ve been listening and involved in conversations about Kubernetes (k8s) and trying to identify the common topics that creates debate on whether it’s a “good” or “bad” idea. There are sensible points of view on both sides of the debate.

Looking back at my years working with infrastructure and going through it’s changes, I believe its time we start to rethink Operations because clearly this model of Ops as cluster or infrastructure admins does not scale. Developers will always out-demand their capacity to supply. Either your headcount is out of control or your ability to innovate and deliver is severely hamstrung. Operations becomes this interrupt-driven thing where we’re just fighting fires as they happen.

Software development has greatly evolved over the years. Serverless is an emerging software architecture that could resolve issues when it comes to developing software solutions. As software developers, you’re tasked with server setup, installing the software, operating systems requirements, server management and maintenance, designing an application with high fault tolerance and availability, as well as managing load balance and more.

Canonical has been working closely with NVIDIA for many years to fuel innovation and support open source software with the power of accelerated processing. That already allowed us to jointly deliver GPU acceleration into Linux, OpenStack and container workloads on traditional datacenter servers. We continued working together, with Ubuntu forming the base operating system for NVIDIA DGX systems, including the latest NVIDIA DGX A100 system.

If you are still handing over a shared on-call duty phone or pager (sometimes called ‘operations phone’), it is time to rethink your process. The Covid19-induced new normal has a dramatic impact on our work live and social behavior. We work from home and that is especially true for the IT workforce. We meet with less people and limit our social network to relatives and close friends.

As companies responded to the COVID-19 pandemic with remote work, cybercriminals increased their social engineering and ransomware attack methodologies. Ransomware, malicious code that automatically downloads to a user’s device and locks it from further use, has been rampant since the beginning of March 2020. According to a 2020 report by Bitdefender, ransomware attacks increased by seven times when compared year-over-year to 2019.

We are thrilled to be named a Leader in the Gartner Magic Quadrant for Enterprise Low-Code Application Platforms, based on Gartner’s evaluation of ServiceNow Now Platform App Engine (Orlando release). We believe this recognition validates our industry position and investment in the low-code application development space.