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AWS Announces General Availability of AWS App Runner
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AWS Announces General Availability of AWS App Runner – Consumer Electronics Net
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May 19, 2021
Comments on government’s controversial proposed data policy – the Draft National Policy on Data and Cloud, released on 1 April 2021 – were due yesterday (18 May).
The policy, in which the government will become co-owner of all data generated in South Africa (SA), has already attracted widespread debate amongst commentators, with many saying that it raises issues around privacy and has the potential to scare off much needed investment into the sector.
But, it may be too soon to label the bill a help or hindrance. Aspects of the policy are encouraging, particularly proposals about extending provision of government data. But there are a number of grey areas where more clarity is required in order to accurately form an opinion.
Visitors crowd a cloud computing presentation at the CeBIT technology trade fair on March 2, 2011 in Hanover, Germany. Misconfigured buckets and leaky APIs continue to be the biggest and most impactful cloud security holes for businesses. (Sean Gallup/Getty Images)
Misconfigured buckets and leaky APIs continue to be the biggest and most impactful cloud security holes for businesses.
New research from security vendor Aqua Security, which draws on the past year of internal customer data, finds that businesses continue to suffer fallout from their poorly configured cloud assets in the form of data breaches. That jives with previous research: cloud misconfiguration errors compose close to half of all âmiscellaneous errorâ-related breaches tracked in Verizonâs 2020 Data Breach and Incident Response report, while the percentage of misconfigured assets discovered continues to rise each year.
Real-Time Innovations launches Connext 6.1 Real-Time Innovations (RTI), the software framework company for autonomous systems, has announced the latest version of its software framework, RTI Connext.
According to RTI, Connext 6.1 is the first software framework designed to address the development and deployment challenges associated with remotely-operated autonomous systems.
Autonomous systems must operate in inaccessible, remote, or hazardous environments and since artificial intelligence cannot handle all situations, these applications have to use remote operators to supervise and intervene in difficult scenarios.
Connectivity for distributed control is challenging and applications require high reliability and real-time performance even though connectivity in these inhospitable environments is often unreliable and low bandwidth. Depending on the operatorâs proximity, communication may also span local, wide area, public and private networks.
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