The rise of machine- and deep-learning algorithms is about to create some interesting data-gravity challenges for IT operations teams. Over most of the last decade IT operations teams have been caught up in a public- versus private-cloud computing debate that has mostly been species. The truth is that most organizations wind up employing both. But […]
Data Science Industry Perspectives in the Cloud
In principle, the cloud is becoming a commodity. Google, Amazon and other companies are trying to commoditize almost everything, including the instruments for data gathering, data storage and data transformation. In the near term, we should expect that platform engineering, which today is overly complex, will become simpler. With data engineering, however, the prospects of […]
DevOps Chat: AI Log Analysis with Gabby Menachem, CEO, Loom Systems
Log analysis has become a big data issue. As we collect and want to analyze more and more information, the amount of data to analyze seems to grow by leaps and bounds. One answer to this issue is AI Log Analysis (apply artificial intelligence). While I will spare you the obligatory “machine learning” references, there […]
Managing Complexity in Dev/Test Infrastructure Using Machine Learning
Businesses are increasingly developing software solutions that can drive innovation and digital transformation. As the number of developers increases in the organization, the ratio of developers to IT also increases over time. The net result: more dynamic and complex dev/test infrastructure requirements and slower support from IT. Developers and testers often cannot get their hands […]
Dev & Ops: These Are Reconcilable Differences
The new world of IT requires a different approach from what worked in the past. As usual, the technology is the easy part, but without people and processes being aligned, it won’t deliver value. When evaluating how data science and machine learning can help manage highly dynamic IT environments, old reflexes may be actively harmful. By […]
IBM: DevOps, AI to Drive Digital Business Transformation
Conventional wisdom holds that one of the biggest challenges organizations face today is a chronic shortage of application developers. But as artificial intelligence (AI) advances, the process of writing code will become more automated. But rather than there being not enough developers to write all the code necessary, the shortage will be in software engineers […]
The Time Is Now for an IT Operations Revolution
There’s a level of frustration starting to build inside IT operations teams that’s about to boil over. Lucas Carlson, vice president of strategy for Automic, a unit of CA Technologies that provides an IT automation platform, says developers are bullying IT operations teams by programmatically invoking application programming interfaces (APIs) exposed by public cloud service […]
Site Reliability Engineering: How to Make the Operations Side of DevOps Actually Work
The DevOps movement often has been accused of focusing too much on the first half (Development) and not enough on the second half (Operations). Certainly there has been more attention paid to deployment of payloads than to operating running systems, leading to the dismissal of the handover between Dev and Ops as “throwing it over […]
Applying AI to Root-cause Analysis Webinar
RECORDING SLIDES [slideshare id=75243643&doc=webinarloomai1125-170420191116]
8 TED talks on Superintelligence Business Leaders Must See
[nextpage title=”Introduction” ] There’s a lot of discussion today about not so much if artificial intelligence will dramatically change the way humans work and provide economic value, but when, how quickly and to what degree AI will change our relation to work. In this post we’ve collected eight of the best TED talks we could […]