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The web hosting firm, GoDaddy, recently announced its intent to migrate most of its IT infrastructure to AWS public cloud as a part of a multi-year transition. The move will help GoDaddy to use a wide range of AWS services, including analytics, database, machine learning, and container-as-a-service offerings. Being a leading cloud provider, AWS will help GoDaddy deliver its products and services faster to customers around the world. “As a technology provider with more than 17 million customers, it was very important for GoDaddy to select a cloud provider with deep experience in delivering a highly reliable global infrastructure, as well as an unmatched track record of technology innovation, to support our rapidly expanding business,” said Charles Beadnall, Chief Technology Officer at GoDaddy. On container aspect, GoDaddy will use Amazon Elastic Container Service for Kubernetes (Amazon EKS) for all the container operations. GoDaddy is an early adopter of Amazon EKS, which enables…
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REDWOOD SHORES, CA – Oracle announced the general availability of Java SE 10 (JDK 10). JDK 10 is a production-ready implementation of the Java SE 10 Platform Specification, as specified by JSR 383 in the Java Community Process. The first release in Oracle’s new six-month Java innovation cycle, Java SE 10 provides a number of new features, including local variable types, parallel full GC for G1, and experimental features such as the Java-Based JIT Compiler.

Java SE 10 was created in close collaboration with the OpenJDK Community, a diverse set of contributors whom have collaborated for more than ten years on an open-source implementation of the Java SE platform. Key features in the new release include:

  • Local-variable type inference: enhances the Java language to extend type inference to declarations of local variables with initializers.
  • Parallel Full GC for G1: improves G1 worst-case latencies by making the full GC parallel.
  • Application Class-Data Sharing: optimizes startup time and footprint by extending the existing Class-Data Sharing (“CDS”) feature to allow application classes to be placed in the shared archive.
  • Experimental Java-Based JIT Compiler: enables the Java-based JIT compiler, Graal, to be used as an experimental JIT compiler on the Linux/x64 platform

“Oracle is committed to rapidly evolving and delivering new innovations in the Java platform – this being the first in our newly adopted release cycle and licensing model,” said Georges Saab, Vice President, Software Development, Java Platform Group at Oracle. “We’re especially proud of the simplicity of this release, which introduces useful new features, removes unnecessary elements, and is easy for developers to use.”

Java is the world’s most popular programming language, with over 12 million developers running Java. Java is also the #1 developer choice for cloud, with over 21 billion cloud-connected Java virtual machines.

About Oracle
The Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centers throughout the Americas, Europe and Asia. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

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Jakarta, Indonesia – Alibaba Cloud, the cloud computing arm of Alibaba Group, today announced the commencement of operations for its first data center in Indonesia. The data center is the first global public cloud platform in the country that will now provide a local choice for Indonesian businesses, particularly SMEs and startups, by offering a powerful, reliable and cost-effective cloud product and services. Alibaba Cloud’s data center will also help Indonesian customers with low latency or data residency requirements to store and process data within the country.

The data center will offer a comprehensive suite of cloud products and services ranging from elastic computing, database service, networking, security and middleware to analytics and big data. This full range of Alibaba Cloud’s solutions will satisfy the surging needs of local enterprises across a range of industries including e-commerce, media, Fintech, gaming, logistics, transportation and manufacturing. In particular, the big data service “MaxCompute”, a big data platform that allows users to store and process massive amounts of structural data to levels as high as terabyte or even petabyte, will bring sophisticated data intelligence services such as data processing, analytics and machine learning to Indonesian businesses, empowering data-driven innovation and business transformation.


“As the only global cloud services provider originating from Asia, we are uniquely positioned with cultural and contextual advantages to provide innovative data intelligence solutions and computing capabilities to customers across this region,” said Alex Li, General Manager of Asia Pacific, Alibaba Cloud.

The launch of the data center is part of Alibaba Cloud’s ongoing commitment to support the Indonesian government’s initiative to create 1,000 startups by 2020. For SMEs and startups, access to scalable and affordable cloud services are essential to accelerate their growth. By migrating IT infrastructure to Alibaba Cloud, these growing firms can leverage the available powerful cloud services to scale rapidly, accelerate innovation and reduce cost. They can expand their geographic reach through Alibaba Cloud’s established global network to support international operations and better compete in global trade.

In order to incubate a local internet-related ecosystem, Alibaba Cloud also announced that it will bring the Alibaba Cloud Certified Professional (“ACP”) program to Indonesia. Within a year, the program aims to train 300 and certify 100 cloud-savvy professionals in Indonesia, providing both entrepreneurs and local talent with knowledge regarding the best-in-class technology in cloud computing, big data and security.

“Alibaba Cloud has always been at the forefront of driving the future of data intelligence, and we are dedicated to making our technology as inclusive as possible within the markets we operate. By providing a full range of cutting edge cloud solutions and combining this with our expertise, we can assist Indonesian SMEs, government, and enterprises to integrate advanced cloud technology into their daily operations to drive innovation and thrive in the digital age,” said Raymond Ma, Head of Alibaba Cloud ASEAN & ANZ.

Alibaba Cloud already has a proven track record of helping Indonesian internet companies to innovate their business on cloud, including Tokopedia, GTech Digital Asia, Dwidaya Tour, and Yogrt.

Tokopedia, one of the largest online marketplaces in Indonesia, currently runs over 20 core applications and various kinds of managed services on Alibaba Cloud. The company is also leveraging Alibaba Cloud’s AI solutions to gain insights from its huge data sets and to improve its customer experience.

Another successful example is GTech Digital Asia. The company is using Alibaba Cloud’s solutions ranging from elastic computing services to relational database to support its omni-channel e-commerce platform. The newly launched data center will further help GTech Digital Asia to meet the data residency requirement.

The Indonesia data center adds to Alibaba Cloud’s data centers in 17 regions worldwide. Alibaba Cloud has a dedicated team of solutions architects and professional consultants in Indonesia to provide services from cloud consulting to after-sales support.

For more information on products and services, go to:
https://www.alibabacloud.com/campaign/indonesia-DC/launch

For more information on Alibaba Cloud Certified Professional program, go to:
https://www.alibabacloud.com/support/certification

About Alibaba Cloud
Established in 2009, Alibaba Cloud (www.alibabacloud.com), the cloud computing arm of Alibaba Group, is among the world’s top three IaaS providers according to Gartner, and the largest provider of public cloud services in China, according to IDC. Alibaba Cloud provides a comprehensive suite of cloud computing services to businesses worldwide, including merchants doing business on Alibaba Group marketplaces, start-ups, corporations and government organizations. Alibaba Cloud is the official Cloud Services Partner of the International Olympic Committee.

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ARMONK, N.Y. – As companies look to embrace Artificial Intelligence (AI) to gain competitive advantage and increase productivity, IBM (NYSE: IBM) today unveiled a new data science and machine learning platform and an elite consulting team to help them accelerate their AI journeys.

Powered by a fast in-memory database that can ingest and analyze massive amounts of data –one million events per second* – IBM’s new Cloud Private for Data is an integrated data science, data engineering and app building platform. Designed to help companies uncover previously unobtainable insights from their data, the platform is also designed to enable users to build and exploit event-driven applications capable of analyzing the torrents of data from things like IoT sensors, online commerce, mobile devices, and more.


“Whether they are aware of it or not, every company is on a journey to AI as the ultimate driver of business transformation,” said Rob Thomas, General Manager, IBM Analytics. “But for them to get there, they need to put in place an information architecture for collecting, managing and analyzing their data. With today’s announcements, we are planning to bring the AI destination closer and give access to powerful machine learning and data science technologies that can turn data into game-changing insight.”

Launching on the IBM Cloud Private platform, Cloud Private for Data is an application layer deployed on the Kubernetes open-source container software and can be deployed in minutes. Using microservices, it forms a truly integrated environment for data science and application development. In the future, the Cloud Private for Data will run on all clouds, as well as be available in industry-specific solutions, for financial services, healthcare, manufacturing, and more.

Commenting on the news, Christian Rodatus, CEO of IBM business partner Datameer, said that “two of the biggest challenges for Data scientists is cleansing and shaping data, and operationalizing their insights to deliver value to business. The direction IBM is headed with IBM Cloud Private for Data is aligned with Datameer’s strategy and can enable companies to more quickly prepare data for machine learning and AI projects and operationalize these across their organizations.”

The Cloud Private Data solution also includes key capabilities from IBM’s Data Science Experience, Information Analyzer, Information Governance Catalogue, Data Stage, Db2 and Db2 Warehouse. The cohesive set of capabilities is designed to help Cloud Private clients quickly discover insights from their core business data, while keeping that data in a protected, controlled environment. In other words, the new solution is designed to provide a data infrastructure layer for AI behind the firewall.

IBM Launches Data Science Elite Team

Separately, IBM today announced the formation of the Data Science Elite Team – a new no-charge consultancy dedicated to solving clients’ real-world data science problems and to assisting them in their journey to AI.

According to a report from MIT Sloan, Reshaping Business with Artificial Intelligence, an estimated 85% of 3,000 business leaders surveyed believed artificial intelligence (AI) would enable competitive advantage, however, only about 1-in-5 have done anything about it. For many organizations, the task of understanding, organizing and managing their data at the enterprise level was too complex.

That’s where the new Data Science Elite Team comes in. This global team of data scientists, machine learning engineers, and decision optimization engineers is dedicated to assisting clients on-site to begin helping them better understand and control their data, and to start making machine learning an integral part of their business.

“Nedbank has a long tradition of using analytics on internal, structured data,” Patricia Maqetuka, Chief Data Officer, Nedbank Ltd. “More data is available now than has ever been available before and analytical tooling has undergone rapid evolution in order to keep up. Nedbank has embarked on a journey to start leveraging both internal and external data, creating new data driven business models and new sources of revenue. Thanks to the first IBM Analytics University Live we were exposed to the guidance and counsel of IBM’s Elite team. This team helped us to unlock new paradigms about how we think about our analytics and change the way we look at use cases to unlock business value.”

Specifically, Data Science Elite Team client engagements center around a use case and begin with a discovery workshop that helps clients understand their data environment and break this use case down into 3 to 4 discrete deliverables that can each be realized in two to three weeks. Following the workshop, clients are provided access to powerful data science strategies, technologies and methodologies through data science sprints and validation. The team, which comprises more than 30 people now, and is expected to grow to 200 over the next few years, is currently aiding more than 50 clients.

* Based on internal testing, February, 2018, that produced over 3 million inserts/second across three nodes.

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Researchers from Corero Network Security have discovered a practical ‘kill switch’ that will be able to mitigate the Memcached vulnerability, recently used in causing the record breaking DDoS attacks. They have disclosed the existence of this switch to national security agencies. Corero said that the potential of Memcached vulnerability is more extensive than reported originally, and the attacked servers can be used by hackers to steal or modify the data. This data can be database records, emails, API data, Hadoop information, website customer information, etc. Memcached, the open source memory caching system decreases data access time by storing it in RAM. Since access does not require authentication, it was originally designed to be inaccessible from the internet. The exploit allows attackers to generate fake requests and magnify the attacks creating traffic flood. Currently more than 95,000 servers answer on UDP port 11211, which means all of them are vulnerable to the DDoS…
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Microsoft announced a number of new services and updates to its Azure cloud platform, aimed at making it easier for organizations to migrate mission critical database workloads to its cloud data centers. The new services include SQL Database Managed Instance, Azure Hybrid Benefit for SQL Server, Azure Database for MySQL and PostgreSQL, Azure Database Migration Service and Azure Migrate. The SQL Database Managed Instance is a managed version of SQL Server running in the cloud, which enables migration of SQL Server workloads to a completely managed database service. Currently available for preview, the new service is fully compatible with SQL Server engine and native virtual network (VNET). To streamline databases migration to SQL Database Managed Instance, Microsoft also announced expanding Azure Database Migration Service (Azure DMS) for supporting SQL Database Managed Instance. DMS is a comprehensive solution for moving on-premises SQL Server to Azure SQL Database for complete…
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