Connect with our cloud experts live or virtually !
Target Audience: Technical and business decision makers within start-ups.
If you are a technical leader evaluating your business alternatives, or you want to make the most of your engagement with AWS – this webinar will give you all the right info.RSVP
CloudZone, an Amazon Web Services (AWS) Premier Consulting Partner since 2014 and AWS Managed Service Provider, has announced that it has been awarded its fourth AWS Competency designation – this time achieving the AWS Migration Competency. The company is one of the first AWS Partners in Israel to attain this competency. The AWS Competency […]
Not long ago, AWS announced that its CloudFront CDN would support real-time logs. Until then, we could only use the S3 log feature, which created a delay before data could actually be analysed. This was not sufficient for certain scenarios. Fortunately, AWS is constantly thinking about us ?. So, they unveiled a solution to […]
IDC predicts that global dataspace will grow up to 175 zettabytes (10 to power 21) by 2025. Even my driving license is connected to the internet using RFID, and therefore continuously generates data. According to a cloud adoption survey by Gartner, 81% of companies that are using public clouds are using more than one […]
CloudZone, an Amazon Web Services (AWS) Premier Consulting Partner since 2014, announced today that it has been awarded an APN DevOps Partner of the Year Award for 2020. With over 10 years of experience in cloud consulting, delivery and support, CloudZone provides its customers with a complete service package that includes top-notch professional services, […]
Managed Services nowadays are very different from the way we use to run traditional IT desktop or server management system. They are so advanced and complicated, that it is becoming difficult to cope with the new challenges the Cloud brings; with more services, DevOps processes and other new technologies. As part of this transition, AWS […]
Deploying machine learning models requires multiple teams and coordination. Developing a statistical model or picking which one to use is simply not enough. A machine learning engineer must also be able to implement it into a large system. Between the various teams required to deploy the model and all the expertise to design it, new […]