Cisco continues to shift its security strategy by moving to acquire Observable Networks

Over the past few years Cisco has changed the face of its security business. What was once a struggling concern is now the fastest-growing part of Cisco. How did the company do this? Part of the rebirth of Cisco security can be traced to a change in focus, away from point products to a more data-driven model. Big data, analytics and machine learning have been hot topics in IT, and Cisco has gotten religion in this area and applied it masterfully to its security business.Today, Cisco added to that when it announced its intent to acquire privately held Observable Networks. The St. Louis-based company provides dynamic network behavior monitoring to help security teams find anomalies that could indicate a breach. The product captures data and analyzes it to gain situational awareness of all users, devices and traffic, not only on a company’s network, but also out to the cloud, with support for both Amazon Web Services and Microsoft Azure.To read this article in full or to leave a comment, please click here

Cisco continues to shift its security strategy by moving to acquire Observable Networks

Over the past few years Cisco has changed the face of its security business. What was once a struggling concern is now the fastest-growing part of Cisco. How did the company do this? Part of the rebirth of Cisco security can be traced to a change in focus, away from point products to a more data-driven model. Big data, analytics and machine learning have been hot topics in IT, and Cisco has gotten religion in this area and applied it masterfully to its security business.Today, Cisco added to that when it announced its intent to acquire privately held Observable Networks. The St. Louis-based company provides dynamic network behavior monitoring to help security teams find anomalies that could indicate a breach. The product captures data and analyzes it to gain situational awareness of all users, devices and traffic, not only on a company’s network, but also out to the cloud, with support for both Amazon Web Services and Microsoft Azure.To read this article in full or to leave a comment, please click here

IBM reorgs services division around Watson and AI

IBM has revamped and restructured its services division to provide greater emphasis on its Watson platform and artificial intelligence (AI).IBM has been retrenching around Watson, a series of cognitive applications and AI applications in one coherent platform, for the last few years as traditional sales of mainframe hardware and software continue to dry up.Bart van den Daele, general manager of IBM Global Technology Services in Europe, told Bloomberg that the new AI-centric services will help IBM’s customers minimize disruptions such as server outages or other malfunctions by predicting problems before they occur and taking corrective action, such as adding cloud capacity or rerouting network traffic around bottlenecks.To read this article in full or to leave a comment, please click here

IBM reorgs services division around Watson and AI

IBM has revamped and restructured its services division to provide greater emphasis on its Watson platform and artificial intelligence (AI).IBM has been retrenching around Watson, a series of cognitive applications and AI applications in one coherent platform, for the last few years as traditional sales of mainframe hardware and software continue to dry up.Bart van den Daele, general manager of IBM Global Technology Services in Europe, told Bloomberg that the new AI-centric services will help IBM’s customers minimize disruptions such as server outages or other malfunctions by predicting problems before they occur and taking corrective action, such as adding cloud capacity or rerouting network traffic around bottlenecks.To read this article in full or to leave a comment, please click here

IBM reorgs services division around Watson and A.I.

IBM has revamped and restructured its services division to provide greater emphasis on its Watson platform and artificial intelligence.IBM has been retrenching around Watson, a series of cognitive applications and A.I. applications in one coherent platform, for the last few years as traditional sales of mainframe hardware and software continue to dry up.Bart van den Daele, general manager of IBM Global Technology Services in Europe, told Bloomberg that the new A.I.-centric services will help IBM’s customers minimize disruptions such as server outages or other malfunctions by predicting problems before they occur and taking corrective action, such as adding cloud capacity or rerouting network traffic around bottlenecks.To read this article in full or to leave a comment, please click here

IBM reorgs services division around Watson and A.I.

IBM has revamped and restructured its services division to provide greater emphasis on its Watson platform and artificial intelligence.IBM has been retrenching around Watson, a series of cognitive applications and A.I. applications in one coherent platform, for the last few years as traditional sales of mainframe hardware and software continue to dry up.Bart van den Daele, general manager of IBM Global Technology Services in Europe, told Bloomberg that the new A.I.-centric services will help IBM’s customers minimize disruptions such as server outages or other malfunctions by predicting problems before they occur and taking corrective action, such as adding cloud capacity or rerouting network traffic around bottlenecks.To read this article in full or to leave a comment, please click here

The New Server Economies Of Scale For AMD

In the first story of this series, we discussed the Infinity fabric that is at the heart of the new “Naples” Epyc processor from AMD, and how this modified and extended HyperTransport interconnect glues together the cores, dies, and sockets based on Eypc processors into a unified system.

In this follow-on story, we will expand out from the Epyc processor design to the basic feeds and speeds of the system components based on this chip and then take a look at some of the systems that AMD and its partners were showing off at the Epyc launch a few

The New Server Economies Of Scale For AMD was written by Timothy Prickett Morgan at The Next Platform.

Networking Challenges in OpenStack Clouds

Networking Challenges in OpenStack Clouds Did you decided that it is time to implement OpenStack to build your Cloud? Have you tested in the lab? Evaluated many distributions available and hired specialized OpenStack resources? However, when the environment goes into production, Neutron is not integrating with the physical network? If the above story closely resembles what you have faced, this... Read more →

Networking Challenges in OpenStack Clouds

Did you decided that is time to implement OpenStack to build your Cloud? Have you tested in the lab? Evaluated many distributions available and hired specialized OpenStack resources? However, when the environment goes into production, Neutron is not integrating with the physical network?

If the above story closely resembles what you have faced, this post will unconceal the many challenges of Networking with any OpenStack distribution and how VMware NSX is the missing piece for your Cloud.

Networking and Security Challenges with OpenStack

Since its creation, the biggest challenges of OpenStack Clouds implementations are automation, integration and orchestration of the required networking and security components at the physical infrastructure layer. The main difficulty is that these environments are extremely heterogeneous and most of the devices do not have an open and programmable interface for configuration and, thus, the initial way of running OpenStack was to pre-provisioning the network manually and only use basics functionalities when implementing security services.

With the rise of Network Virtualization solutions and evolution of Open vSwitch, some of these challenges were solved, making it possible to create an abstraction layer from the physical elements of infrastructure and automate the virtual network through the programmable interface Continue reading

The Convergence Or Divergence Of HPC And AI Iron

Based on datacenter practices of the past two decades, it is a matter of faith that it is always better to run a large number of applications on a given set of generic infrastructure than it is to have highly tuned machines running specific workloads. Siloed applications on separate machines are a thing of the past. However, depending on how Moore’s Law progresses (or doesn’t) and how the software stacks shake out for various workloads, organizations might be running applications on systems with very different architectures, either in a siloed, standalone fashion or across a complex workflow that links the

The Convergence Or Divergence Of HPC And AI Iron was written by Timothy Prickett Morgan at The Next Platform.