C3 launches Integrated Development Studio for speed up AI, machine learning deployments

LARRY DIGNAN | March 13, 2019 | 167 views

C3 launched its Integrated Development Studio, a low-code platform to enable developers to build applications for its AI Suite.The effort is a way to make it easier to deploy enterprise-wide models, machine learning and artificial intelligence across multiple clouds. C3 has been one of the forerunners in industrial Internet of things deployments across utilities and large enterprises.C3 said its Integrated Development Studio, or IDS, is integrated with its C3 AI Suite. IDS includes data ingestion, data modeling, machine learning engineering, model management and an interface that leverages metadata and drag-and-drop integrations.According to C3, IDS is designed to speed up building applications over cloud microservices. IDS speeds processes up by abstracting multiple cloud services such as AWS RDS, Amazon S3, AWS Kinesis, Azure Event Hubs, Amazon DynamoDB, Azure IoT Hub, Google BigQuery, Google Cloud ML Engine as well as various developer tools. C3 CTO Ed Abbo said IDS enhances the development experience to streamline things like data aggregation. "Building AI applications to accelerate digital transformations requires a number of roles to collaborate and one key element is aggregating data from internal and outside sources," said Abbo. From there, data scientists can develop models. IDS also has DevOps features to test code and move to productions. "We're bringing those elements together in a unified way," said Abbo.

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Ciena

Ciena Corporation is a global manufacturer of communications network equipment and solutions, with expertise in Packet-Optical Transport, Packet-Optical Switching, Carrier Ethernet, and Network Support Services.

OTHER ARTICLES
Virtual Desktop Tools, Server Hypervisors

Virtualization can transform your company’s IT infrastructure

Article | June 8, 2023

For many companies in today’s highly competitive, rapidly digitizing world, data center transformation is not merely a one-time project – it’s a constant challenge. No corporate IT leader should be content merely to revamp their data infrastructure once, then call it a day. Instead, they should always be looking for ways to make their approach to data more dynamic and easier to scale. Ideally, they’d do so in a way that maximizes resource utilization while minimizing costs. Luckily, that’s exactly the idea behind virtualization, which involves creating a new infrastructure that’s capable of rapidly scaling and facilitating workload development. IT leaders are quickly coming to realize that with virtualization in their toolbox, they’re able to make their operations more agile than ever, and without increasing costs. This is why over 80% of enterprise server workloads today are running on virtual machines, and the market for data center virtualization is expected to reach a total value of $10 billion by 2023.

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Virtual Desktop Tools, Server Hypervisors

Best Practices for vSphere 6.7 Tagging

Article | April 28, 2023

vSphere Tags were introduced in version 5.1 as a way to organize inventory objects such as VMs, Hosts, Datastores, etc., a much-needed feature for helping search for or group objects within vSphere. A Tag is basically a label that can be applied to vSphere inventory objects. When an administrator creates a tag, it is then assigned to a tag category. Categories allow the grouping of related tags. When a Category is created, you can specify associations of object types (such as; VM or Datastore) as well as whether more than one tag in a category can be applied to an object (ex; One Tag or Many Tags).

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Server Virtualization

How to automate the creation multiple routable VLANs on single L2 network using VyOS

Article | May 17, 2023

My personal homelab has a very simple network topology, everything is connected to a single flat network. This has served me well over the years, but sometimes it can prevent me from deploying more complex scenarios. Most recently while working with NSX-T and Project Pacific, I had a need for additional VLANs which my home router does not support. There are a number of software solutions that can be used including the popular pfSense, which I have used before. Over the Winter break, a colleague introduced me to VyOS, which is another popular software firewall and router solution. I had not heard of VyOS before but later realized it was derived from Vyatta, which I had heard of, but development of that solution had stopped and VyOS is now the open source version of that software. Having never played with VyoS before, I thought this might be a good learning opopournity and started to dabble with VyOS over the holiday.

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Hyperconverged Infrastructure for Remote/Branch Offices & Edge Computing

Article | February 10, 2020

Hyperconverged infrastructure (HCI) is playing a significant role in building an enterprise multi-cloud environment. The benefits are well documented – you can learn more about them in a new white paper developed in collaboration with ViON, Fujitsu, and Nutanix, “Simplifying Multi-Cloud and Securing Mission Progress.” In addition to driving a cloud foundation, hyperconverged infrastructure is driving other use cases. In our first blog, we examined the impact that HCI can have in a disaster recovery solution. In this installment, we’ll discuss how HCI is changing the dynamics for remote offices and edge computing.

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Ciena

Ciena Corporation is a global manufacturer of communications network equipment and solutions, with expertise in Packet-Optical Transport, Packet-Optical Switching, Carrier Ethernet, and Network Support Services.

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CLOUDTECH | March 29, 2019

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EC Wants 5G Security Risks to be Assessed, But Does Not Ban Huawei

Sdxcentral | March 27, 2019

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Cloud Provider Microsoft Azure Rolls Out Security Center for IoT

CRN | March 28, 2019

Microsoft Azure today announced Azure Security Center for IoT, which provides hybrid cloud security management and threat protection capabilities to help its manufacturing customers monitor the security status of their Azure-connected Internet of Things devices used in industrial applications.The cloud provider’s new offering is designed to make it easier for partners and customers to build enterprise-grade industrial IoT solutions with open standards and ensure their security.“They want security more integrated into every layer, protecting data from different industrial processes and operations from the edge to the cloud,” Sam George, Microsoft Azure’s IoT director, said in a blog post yesterday. “They want to enable proof-of-concepts quickly to improve the pace of innovation and learning, and then to scale quickly and effectively. And they want to manage digital assets at scale, not dozens of devices and sensors.”

Read More

Getting past cloud cost confusion: How to avoid the vendors' traps and win

CLOUDTECH | March 29, 2019

Cloud service providers like AWS, Azure, and Google were created to provide compute resources to save enterprises money on their infrastructure. But cloud services pricing is complicated and difficult to understand, which can often drive up bills and prevent the promised cost savings. Here are just five ways that cloud providers obscure pricing on your monthly bill. For the purpose of this article, I’ll focus on the three biggest cloud service providers: AWS, Azure, and Google. Between these three cloud providers alone, different terms are used for just about every component of services offered.For example, when you think of a virtual machine (VM), that’s what AWS calls an “instance,” Azure calls a “virtual machine,” and Google calls a “virtual machine instance.” If you have a scale group of these different machines, or instances, in Amazon and Google they’re called “auto-scaling” groups, whereas in Azure they’re called “scale sets.”There’s also different terminology for their pricing models. AWS offers on-demand instances, Azure calls it “pay as you go,” and Google has “on-demand” resources that are frequently discounted through “sustained use.” You’ve also got “reserved instances” in AWS, “reserved VM instances” in Azure, and “committed use” in Google. And you have “spot instances” in AWS, which are the same as “low-priority VMs” in Azure, and “preemptible instances” in Google.

Read More

EC Wants 5G Security Risks to be Assessed, But Does Not Ban Huawei

Sdxcentral | March 27, 2019

The European Commission (EC) this week set out its strategy to ensure the security of 5G networks across the European Union (EU), but ignored U.S. calls to ban Huawei equipment from next-generation mobile networks.The EC is recommending a set of actions that all member states should use to assess the cybersecurity risks of 5G networks. It stopped short of banning any suppliers outright, merely stating that member states “have the right to exclude companies from their markets for national security reasons if they do not comply with the country’s standards and legal framework.”The overall aim is to build a coordinated EU risk assessment that will ensure the security of key infrastructure, including 5G.The EC’s position could have been predicted based on Germany’s recent robust response to a perceived threat by the U.S. to limit intelligence sharing if Huawei was allowed to be part of Germany’s future 5G infrastructure. Germany has refused to explicitly ban Huawei from future network deployments, including 5G.

Read More

Cloud Provider Microsoft Azure Rolls Out Security Center for IoT

CRN | March 28, 2019

Microsoft Azure today announced Azure Security Center for IoT, which provides hybrid cloud security management and threat protection capabilities to help its manufacturing customers monitor the security status of their Azure-connected Internet of Things devices used in industrial applications.The cloud provider’s new offering is designed to make it easier for partners and customers to build enterprise-grade industrial IoT solutions with open standards and ensure their security.“They want security more integrated into every layer, protecting data from different industrial processes and operations from the edge to the cloud,” Sam George, Microsoft Azure’s IoT director, said in a blog post yesterday. “They want to enable proof-of-concepts quickly to improve the pace of innovation and learning, and then to scale quickly and effectively. And they want to manage digital assets at scale, not dozens of devices and sensors.”

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