Google announced the general availability of Cloud Functions, but are enterprises ready for serverless computing?
• The Google Cloud Build app development environment supports the increased demand for CICD among enterprises.
Google announced general availability of its serverless platform, Cloud Functions, during last week’s Google Cloud Next conference in San Francisco. The growing phenomenon of serverless computing pits Google most squarely against cloud rivals AWS Lambda and Microsoft Azure Functions. Google’s serverless solution, founded on App Engine, runs alongside its Cloud Services Platform and offers new runtimes, additional languages, and enhanced performance, networking, and security features. Continue reading “Google Cloud Next: Google Finally Joins the Serverless Ranks, but Enterprises Aren’t Interested Yet”→
Just as multi-cloud usage is recognized as a necessity, IT suppliers are keen to help enterprises reduce its inherent complexity.
Fujitsu is strengthening its multi-cloud integration and operations services by partnering with key platform vendors and training thousands of service professionals to achieve relevant certifications.
Starting in the second half of last year, the focus on hybrid cloud implementations shifted towards the need to accommodate concurrent management of workloads running on multiple cloud platforms, and this has emerged as one of the biggest themes in cloud computing. Whether it is the case of central IT looking for some level of control over enterprise-wide consumption or the equally common justification for the same organization using, say, Amazon EC2 for one set of workloads while using Azure and/or VMware for others, ‘hybrid’ management solutions now need to support this multi-cloud usage. Continue reading “Multi-Cloud Services: Fujitsu’s Take”→
Traditional platform services including integration embedded into blockchain solutions will prevail in the competitive landscape.
Application platforms providers are beginning to offer BaaS, looking for ways to support repeatable operations by integrating the technology into core DevOps technologies.
Blockchain is just one form of distributed ledger technology (DLT), but considering the amount of investment being made in blockchain-as-a-service (BaaS) offerings by vendors such as IBM and Oracle, it’s likely to become the main technology global companies will use to revolutionize global commerce.
• HPE’s new EdgeLine portfolio enhancements will enable customers to run storage-intensive applications and additional core data center functions within remote edge locations.
• HPE’s new GreenLake Hybrid Cloud offering will appeal to hybrid cloud customers that struggle with things like cost and management complexity but won’t disrupt the wider market.
At its Discover event in Las Vegas a last week, Hewlett Packard Enterprise (HPE) unveiled several new solution updates and strategic initiatives which, it believes, will transform the way businesses consume, deploy and operate data center technologies. First, HPE announced plans to invest US$4 billion over the next four years to develop technologies that support enterprise edge computing. Edge computing promises to transform the way data centers are deployed and managed and the type of workloads they support. It enables the operation and allocation of enterprise IT resources – including compute, storage, networking, data management, and analytics – at locations that are closer to the points of data generation, and to the end users of digital content and applications.
HPE already has a number of products that support enterprise edge computing initiatives. These include its EdgeLine hyperconverged infrastructure systems, which are specifically designed for deployment in remote locations, often far from central data centers. In Vegas, HPE revealed that it was increasing the storage allocation available on its EL1000 and EL4000 models, from 4TB to 48TB, thanks to a new hardware add-on. The additional storage will allow EdgeLine to support more storage-intensive use cases at the edge of enterprise networks, including databases, artificial intelligence, and video applications. In addition, HPE announced that it had validated several enterprise software stacks for use with the EL1000 and EL4000 systems, including VMware, Microsoft SQL Server, SAP HANA and Citrix XenDesktop. By validating entire software stacks, rather than lighter, tailored versions, HPE aims to help customers run virtualization and compute functions at the network edge with the same tools they use in their primary data centers. Continue reading “HPE Sets Out to Master the Edge While Extending Managed, Metered IT Consumption to Hybrid Cloud”→
Vendors ramping up coding campaigns get creative in the battle for programming expertise.
Microsoft makes a play to scoop up as much coding talent as possible.
Technology’s greatest deficit today is talent. As the digital era moves into a complex new phase of microservices, serverless computing, blockchain, and artificial intelligence (AI), drawing on the expertise of capable programmers and data scientists to help spur adoption of new technology solutions is more important than ever – and difficult. A recent surge in campaigns to attract developers and grow developer communities among application platforms vendors such as IBM, Oracle, Microsoft, Salesforce, and others reflects the increased importance of gaining vendor loyalties. Continue reading “Microsoft’s $7.5 Billion GitHub Buy Illustrates Dire State of Developer Deficit”→
The cloud market in Asia-Pacific is getting more competitive, driven by the Chinese cloud giants: Huawei, Alibaba and Tencent.
The growing competition offers businesses wider options beyond the traditional cloud providers such as AWS, Microsoft and IBM.
The three Chinese ICT giants – Huawei, Alibaba and Tencent – are originally from different ICT areas. Huawei started with telecommunications equipment, Alibaba with e-commerce and Tencent with instant messaging. However, today, they all actively play in cloud market, challenging the traditional cloud players such as AWS, Microsoft, Google and IBM. Continue reading “Chinese Players Are Disrupting the Cloud Market in Asia-Pacific”→
• Avaya finally has a cloud strategy; a late mover compared to the other UCC players
• But cloud adoption in Asia-Pacific especially in emerging markets is still low and demand is growing
While Avaya already has a number of cloud-based deployments for several years for example Avaya IP Office as-a-Service (IPOaaS) offered by Optus in Australia, the cloud delivery model is mainly driven by the partners. Avaya itself is finally moving to cloud-based offerings recently. It is a late move considering the other UC major players have gone to cloud years earlier, for example Cisco with Spark and Webex and Microsoft with Microsoft Office 365 and Skype for Business. Continue reading “Avaya’s a Laggard in Cloud, But Not Too Late in Asia-Pacific”→
Last week’s KubeCon + CloudNativeCon Europe conference in Denmark demonstrated the extent to which Kubernetes has become the industry standard for orchestrating and managing cloud-native applications.
The conference saw Kubernetes announcements from Cisco, Red Hat, and Oracle, illustrating the growing commitment of data center infrastructure vendors to open source and application performance management (APM) technologies.
• Key themes from the 15th Huawei Analyst Summit (HAS) in Shenzhen, China, included edge computing, hybrid cloud enablement, and the application of AI to data center technologies.
• To unlock commercial opportunities and reinforce the competitiveness of its solutions, Huawei would benefit from a stronger articulation of both its hybrid cloud and edge computing capabilities.
Judging by the themes of the 15th HAS in Shenzhen, China, 17-19 April, Huawei expects data center technologies to become increasingly more intelligent, more distributed in the way they are deployed, and more diverse in the use cases they support. Key themes from the Summit, with particular relevance to data centers, included edge computing and the Internet of Things (IoT), multi-cloud and hybrid cloud enablement, and the application of artificial intelligence (AI) to both data centers and the use cases they support.
The Summit saw a recurring emphasis on the theme of “boundless computing”, reflecting Huawei’s commitment to a single infrastructure platform that blurs the boundaries between CPUs, servers, and data centers and supports the delivery of resources wherever they are required. There was considerable discussion of edge computing, which involves the maintenance and operation of IT resources at locations that are closer to the points of data generation, and to the end users of digital content and applications. Huawei already offers several solutions that support enterprise edge computing initiatives, including its Cloud Fabric SDN solution and a version of its hyperconverged infrastructure offering, FusionCube, which is specifically optimized for remote office and branch office (ROBO) and edge computing deployments. Continue reading “Huawei Analyst Summit 2018: Edge Computing, Hybrid Cloud, and AI are Central to Huawei’s Future Vision of the Data Center”→