"""qhubekani uya, ungakhohlwa ingqondo saqala yakho"". esikhathini saleso senzakalo esizayo, shuang yu uzoqhubeka banamathele endleleni ""ubuchwepheshe high, high kanye ukuthembeka okusezingeni eliphezulu"", ngobuchwepheshe eqinile, imishini kakhulu nokuphathwa ephelele, siyofaka imikhiqizo kangcono futhi nakho abakuthole enkonzweni amakhasimende ethu. @ThingsExpo BlogsThe Network Got Invited to the Party at @DevOpsSummitBy Lori MacVittieAt DevOps Summit NY there’s been a whole lot of talk about not just DevOps, but containers, IoT, and microservices. Sessions focused not just on the cultural shift needed to grow at scale with a DevOps approach, but also made sure to include the network ”plumbing” needed to ensure success as applications decompose into the microservice architectures enabling rapid growth and support for the Internet of (Every)Things.Oct. The program, to be aired during the peak viewership season of the year, will have a major impac...Oct. 8, 2015 12:00 PM EDT Reads: 249Azure Data Lake Store in Private PreviewBy Jayaram KrishnaswamyRecently announced Azure Data Lake addresses the big data 3V challenges; volume, velocity and variety. It is one more storage feature in addition to blobs and SQL Azure database. Azure Data Lake (should have been Azure Data Ocean IMHO) is really omnipotent. Just look at the key capabilities of Azure Data Lake:Oct. 8, 2015 12:00 PM EDT Reads: 272The Mid Week Motivator – How to Get Things DoneBy Ian KhanAre you a winner? 8, 2015 10:15 AM EDT Reads: 305IoT Ready InfrastructureBy Peter SilvaIoT applications will come in all shapes and sizes but no matter the size, availability is paramount to support both customers and the business. 8, 2015 09:00 AM EDT Reads: 2,052CIOs Must Beware Big Data BlindnessBy Adrian BridgwaterIt’s not hard to find technology trade press commentary on the subject of Big Data. Variously defined (in non-technical terms) as the cluttered old shoebox of all data – and again (in more technical terms) as that amount of data that does not comfortably fit into a standard relational database for storage, processing and analytics within the normal constraints of processing, memory and data transport technologies – we can say that Big Data is an oft mentioned and sometimes misunderstood subject.Oct.