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Founded in 2021 by Shahar Azulay and Yechezkel Rabinovich, Groundcover is one of the first observability platforms based on eBPF. → Read More
With bare metal support for EKS Anywhere, AWS wants to reduce the dependency on VMware to enable enterprise customers to deploy Kubernetes directly on physical servers running within the data center and at the edge. → Read More
Here are five AI-based code generators based on the large language models that can generate high-quality code: → Read More
A a quick summary of the key announcements AWS made at the re:Invent 2021 conference related to containers. → Read More
With Network Connectivity Center, Google aims to simplify network operations that span the cloud, on-prem data centers, and even multiple public clouds. → Read More
2020 witnessed the rise of multi-cloud driven by Kubernetes followed by large M&A deals in the space. → Read More
TinyML makes AI ubiquitous and accessible to consumers. It will bring intelligence to millions of devices that we use on a daily basis. → Read More
Even though Oracle is late to the ML PaaS party, it has unique capabilities in the form of AutoML, tight integration with the data warehouse, model explainability, and comprehensive model management. → Read More
Gartner recently published its magic quadrant report on data science and machine learning (DSML) platforms. → Read More
Ellison emphasized on the enhancements made to Gen 2 Cloud Infrastructure, Autonomous Database, and some of the new services such as the Digital Assistant Bot and a Machine Learning platform. → Read More
The market for cloud native storage is growing at a rapid pace. Here are 5 startups that are making a difference with their cloud native storage products. → Read More
With access to the rich dataset coming from the cabs, drivers, and users, Uber has been investing in machine learning and artificial intelligence to enhance its business. → Read More
Kubernetes is becoming the Linux of modern infrastructure. The credit goes to Google for open sourcing it and then handing it over to the CNCF to enable community participation. → Read More
Microsoft has a unique opportunity in the IoT and edge computing markets. With innovative products such as Azure IoT Central, Azure Sphere, and IoT Plug and Play, the company is moving forward to become the segment leader. → Read More
Here are the most exciting announcements from Microsoft Build related to cloud, containers, DevOps, IoT and edge computing. → Read More
The investments in embedded software and RTOS combined with a scalable and secure IoT platform on Azure transform Microsoft into a leader in industrial IoT and automation. → Read More
Google AI Platform is one of the most comprehensive offerings in the public cloud to train, tune and deploy machine learning models. → Read More
With cloud providers poised to build custom silicon, Annapurna Labs is turning out to be Amazon’s secret weapon. It will help AWS deliver innovative services that offer the best in class infrastructure to run modern workloads. → Read More
Machine learning and artificial intelligence will become the key technology trends of 2019. From business applications to IT support, AI is going to impact the industry significantly. → Read More
In a bid to close the gap with competition, Microsoft is moving fast in adding new capabilities to Azure. Its investments in compute, data, AI, IoT, and edge are transforming Azure into a robust enterprise cloud platform. → Read More