CloudJumper launches distribution agreement with Crayon to improve access to cloud workspace for Azure

CloudJumper announces alliance with Crayon that combines the power of CloudJumper’s Cloud Workspace Management Suite (CWMS) for VDI and RDS workloads with the expertise of Crayon’s managed services and independent 'cloud economics' consulting practice.

CloudJumper and Crayon’s partnership bring new possibilities for customers and MSPs who want the flexibility of choice for management, security options and the ability to build their own value-add services suite leveraging WVD. 

Microsoft’s Windows Virtual Desktop (WVD) brings new choices for customers who want more control of the managed services running on top of desktop and application virtualization solutions. Legacy VDI providers have historically served as a gatekeepers controlling the workstation management plane. CloudJumper brings to Azure WVD what the legacy vendors will not – the flexibility of controlling managed services on top of managed desktops.

The utility of Windows Virtual Desktop (WVD) is further enhanced through CloudJumper's Cloud Workspace Management Suite (CWMS). CWMS is an automation, orchestration workflow and policy solution to deploy, configure and manage WVD in real-time and at cloud scale. CWMS will instantly, and continually, optimize the customer’s Azure investment.

WVD is a complex collection of Azure services. CloudJumper simply funnels the hundreds of WVD setup options into a few key questions and then orchestrates and deploys a customized environment. With CloudJumper, the customer is just minutes away from deploying thousands of new WVD VMs– something that is not available in a native Azure user interface (UI).

To provide additional support for this distribution partnership, CloudJumper's product development team has been working closely with Microsoft's WVD product team for over two years. As a result, CloudJumper is proud to be recognized as a Microsoft Preferred Solution Provider for WVD.

Microsoft Azure WVD provides customers with unique licensing options and operating system flexibility for Windows 10 and Windows 7 desktop virtualization. Windows 7 desktops can now be migrated to Azure WVD and receive up to three years extended security updates at no additional costs. 

New Windows 10 multi-session OS options are only offered in Azure. These OS choices along with the many complementary Azure PaaS management and security offerings can be securely delivered directly into the Azure tenant. Native Azure Management, supported by CWMS, means no redirection and no third party vendor lock-in. This allows customers to leverage current Microsoft licensing instead of buying overlapping third party tools.

The partnership with Crayon combines the strengths and expertise of CloudJumper and Crayon to deliver the next generation of cloud DaaS and WaaS VDI and RDS desktop and application virtualization solutions.

Headquartered in Oslo, Norway, Crayon is in over 35 countries, providing more than 8,000 customers with strategic advice, consulting and managed services, and support with complex IT estates. Crayon has been the preeminent IT infrastructure consulting business in the Nordic region for more than 12 years, and has expanded its footprint in the US in the last two years.

“Crayon’s deep experience in all aspects of the digitalization journey helps ensure the success of the new partnership. We are pleased to combine CloudJumper’s advanced platform with Crayon’s unique SAM to Cloud Consultancy Services as companies take the next step in digital transformation with their move to Windows Virtual Desktop,” said Alex Picchietti, global director of cloud services for Crayon. “The wealth of expertise from both companies will support organizations making this important move to improve productivity and operational efficiency.”

“The advent of WVD and the partnership with a respected industry leader like Crayon extends the reach of our combined solutions globally,” said JD Helms, president of CloudJumper. “Customers are demanding choice and flexibility in their managed workspace providers and CloudJumper is uniquely positioned to do just that.”

Ericsson and Telstra achieve container-based commercial Evolved Packet Core milestone

Ericsson and Australian communications service provider Telstra have deployed the industry’s first live cloud-native container-based Evolved Packet Core for 4G and 5G services. The achievement is a significant milestone in network orchestration and automation.

The cloud-native container-based Evolved Packet Core has been deployed in Telstra’s production Network Functions Virtualization Infrastructure (NFVi), provided by Ericsson. It is fully integrated into Telstra’s mobile core network and is carrying live 4G and 5G Non-Standalone (NSA) traffic.

Telstra’s cloud-native Evolved Packet Core includes Ericsson Packet Core Controller and Ericsson Packet Core Gateway products. They support 4G and 5G Non-standalone (NSA) control and user plane functions in both a centralized configuration and edge-breakout configurations.

As part of this deployment, Ericsson’s Packet Core Controller is deployed as a cloud-native container-based Mobility Management Entity (MME) in an existing MME pool.

Both the Ericsson Packet Core Controller and Packet Core gateway are designed from the ground up to be fully cloud-native container-based solutions. They run on Ericsson’s Cloud Container Distribution (CCD) that is part of Ericsson’s NFVI solution or on other Cloud Native Computing Foundation (CNCF) aligned distributions.

Ericsson CCD provides container management and orchestration for the latest Ericsson cloud native applications. CCD can be run on bare metal or within a Virtual Machine in an OpenStack deployment.

Ericsson and Telstra have a long history of partnering in industry innovation. In May 2019 Telstra launched 5G commercial services using Ericsson solutions.  

This achievement is a key step in Telstra’s goal to build a web-scale core network and deliver the full power of 5G to consumers and enterprise customers. The containerization of core network functions will move communication service providers such as Telstra towards greater orchestration and automation of their networks. This in turn will help them to create and deliver new services such as enhanced mobile broadband, network slicing, mobile edge computing, mission critical vertical industry support and advanced enterprise services.

Containerized technologies are also designed to improve network resilience and software upgrade techniques to increase overall network availability for Telstra’s customers and services.

“Telstra and Ericsson are leading the mobile industry with this first container-based cloud-native Evolved Packet Core in Telstra’s production environment and carrying live traffic. This is an important step towards fundamentally changing the way both companies deploy and operate mobile core networks,” said Emilio Romeo, head of Ericsson Australia and New Zealand. “Core networks will become much more flexible and agile, allowing operators such as Telstra to quickly create and deploy compelling new services for their customers. This in turn helps operators build new revenues.”

“Through the T22 initiative, Telstra’s business is being transformed to improve service delivery and provide customers with enhanced experiences. To achieve this transformation, Telstra’s network needs to become more flexible and efficient, and cloud-native container-based applications such as Ericsson’s containerized Evolved Packet Core are a key element of this,” said Shailin Sehgal, product enablement technology executive, Telstra. “This is key to cost effectively scaling and automating our network and speeding up the delivery of innovative new services that are essential in a 5G world. We are pleased to be working with Ericsson to deliver innovation into our network that will assist Telstra maintain its industry leadership.”

Schneider Electric releases its initial integrated rack with immersed, liquid-cooled IT for data centers

Schneider Electric, vendor of digital transformation of energy management and automation, with Avnet and Iceotope, announces creation of commercially-available integrated rack with chassis-based, immersive liquid cooling. Optimized for compute-intensive applications, the solution combines a high-powered GPU server with Iceotope’s liquid cooling technology to increase energy efficiency. 

Avnet integrates the liquid-cooled server with Schneider Electric’s NetShelter liquid-cooled enclosure system for simple deployment into data centers or edge computing environments. The system is EcoStruxure Ready since the solution is available with next generation data center management software, EcoStruxure IT Expert and our digital service EcoStruxure Asset Advisor. 

This liquid-cooled solution is ideal for applications such as big data analytics, artificial intelligence, and machine-learning algorithm training development, where high compute demands more energy use. In a recent report published by Gartner, liquid cooling was identified as a technology to watch. 

Analyst Henrique Cecci advised data center operators “maximize cooling energy efficiencies by employing modern liquid cooling solutions.” Liquid cooling offers greater efficiency, lower operating costs, smaller footprint, increased reliability, and nearly silent operation despite the high-power density of the GPUs. 

Avnet, Iceotope and Schneider Electric plan to expand the offering as demand grows by welcoming other server OEMs into the partnership. 

“Schneider Electric is committed to making data centers more sustainable and liquid cooling is a very compelling approach,” said Kevin Brown, CTO and SVP of Innovation, Secure Power, Schneider Electric, who is presenting on liquid cooling at the Gartner conference. “This latest development marks a significant step toward industrializing chassis-based immersion solutions which offer the efficiency and effectiveness of tanks based solutions while providing the compatibility and serviceability of more traditional, ‘direct-to-chip’ liquid-cooling designs. Given the growth of compute-intensive applications, we believe this approach is very promising.”

“As a leading global technology solutions provider, Avnet has always excelled at adapting to changing markets, trends, and technologies,” said Scott MacDonald, global president, Avnet Integrated. “We do well at this by partnering with the world’s best technology designers and hardware manufacturers. In this case, we’re partnering with liquid cooling-specialist, Iceotope, and global infrastructure giant, Schneider Electric, to make the best possible liquid cooling solutions for our customers. We’re excited to integrate, fulfill, and support this solution that smartly addresses customer cooling challenges around rising chip densities, harsh IT environments, rising energy costs, water use restrictions, and space constraints.”

“Iceotope is thrilled to be making its innovative chassis-level, immersive liquid cooling technology available to the general market,” said David Craig, CEO of Iceotope. “We offer the only liquid cooling tech that scales easily from edge computing devices to large server farms in the cloud. And compared to direct-to-chip liquid cooling systems, our approach is more efficient, more reliable, saves more space, eliminates fans, and when deployed across the data center, it lowers cost.”

Pivot3 improves resilience for large-scale HCI deployments with AI and automation capabilities

Pivot3 announced addition of  artificial intelligence (AI) and automation features to its Acuity software to address the data protection challenges often faced in large-scale hyperconverged infrastructure (HCI) deployments. These capabilities provide resilience for large multi-petabyte environments, allowing customers who experience catastrophic hardware failures to recover, while ensuring high-availability with auto-healing, quick node rebuild and intelligent monitoring and analytics.

At the core of Pivot3's Acuity software platform is the Pivot3 Intelligence Engine. The Intelligence Engine comprises many advanced data- and performance-management capabilities, including its market leading Business Policy Management feature. This enables customers to map business objectives to resource management through simple policies. 

Pivot3 uses AI and machine learning to understand application performance, protection and security requirements and to make real-time system changes so SLAs are met. The Intelligence Engine also monitors system health and performs predictive maintenance to ensure maximum system availability. This automates time consuming systems administration and maintenance tasks to reduce operating expenses and to allow organizations to scale without adding additional IT resources.

Pivot3’s Intelligence Engine now includes a suite of new auto-healing capabilities. Designed to automate human decisions and tasks, the new features replace manual recovery processes by automatically adding a node back to a cluster once it has recovered from a failure. Pivot3 has also introduced a quick node rebuild feature to reduce repair times up to 90 percent and to eliminate the need for a time-consuming full node rebuild, lowering the risk of a second failure.

Other enhancements to the Intelligence Engine include intelligent automation, AI and analytics for proactive system health, configuration optimization and support. These additional system analytics and diagnostics provide customers with improved system health and performance and the ability to automatically share information to Pivot3’s Support Cloud. 

Proactive system monitoring flags events in real-time with on-alarm dispatch to Pivot3 Support and provides daily status reports. New AI and machine learning techniques analyze phone-home data and alert the customer to options if a system is not in compliance with best practices.

“Customers are increasingly required to manage massive amounts of data generated by video surveillance, both for long term retention and for analysis with video analytics,” said Ben Bolles, vice president of product management, Pivot3. “The sheer scale of the infrastructure needed to support these use cases presents new resilience challenges, and organizations are increasingly concerned about capturing, protecting and capitalizing on this mission-critical data. Pivot3 is meeting this growing challenge with new automation and intelligence capabilities to provide customers with peace of mind, knowing their system is resilient, secure and always available.”

“With the real-time system monitoring, Pivot3 Support now alerts my team to unforeseen failures and provides remediation,” said Jeremiah Francis, director of information technology at Financial Advocates. “Additionally, receiving daily system health and configuration status reports allows us to ensure our system is running at peak performance; we can now more easily resolve potential points of failure and optimize for success.”

Datadog announces integration with Microsoft Azure DevOps to derive metrics from their continuous integration pipelines

Datadog announced Thursday a new integration with Microsoft Azure DevOps. Users can pull in events, derive metrics from their continuous integration pipelines, and correlate this information with real-time data from their entire stack in Datadog. 

In addition, teams can set Datadog monitors as gates in their Azure DevOps deployment pipelines, enabling them to detect and abandon bad releases automatically before users are impacted.

Companies are increasingly adopting continuous integration and continuous deployment best-practices to improve the speed and agility of their developer operations. As part of this, many teams rely on services like Azure DevOps in order to release more frequent, smaller updates to their code. 

As updates proliferate, monitoring this activity in context with application performance data becomes critical. Without this visibility, determining a root cause and fixing bugs in dynamic environments can be very time consuming, resulting in extended outages.

In addition to troubleshooting deployments, managers can also use this integration to understand the efficiency of their DevOps processes. Datadog generates metrics to help track Azure DevOps events, so users can see how often builds are completing or failing, the frequency of code commits, and the duration of work items. This data provides feedback for teams to track and improve their workflows as they implement agile methodology.

“We’re excited that users will no longer need to jump between tools to monitor how deployments might be impacting their applications,” said Steve Harrington, product manager at Datadog. “With the ability to stop Azure DevOps deployments automatically based on issues detected in Datadog, this integration provides a powerful tool for mitigating or preventing downtime altogether.”

Gartner highlights top 10 trends impacting infrastructure and operations for 2020

Research firm Gartner highlighted on Tuesday trends that infrastructure and operations (I&O) leaders must start preparing for to support digital infrastructure in 2020. Analysts presented the findings during the Gartner IT Infrastructure, Operations & Cloud Strategies Conference, which is taking place here through Thursday.

“This past year, infrastructure trends focused on how technologies like artificial intelligence (AI) or edge computing might support rapidly growing infrastructure and support business needs at the same time,” said Ross Winser, senior research director at Gartner. “While those demands are still present, our 2020 list of trends reflect their ‘cascade effects,’ many of which are not immediately visible today.”

During his presentation, Winser encouraged I&O leaders to take a step back from “the pressure of keeping the lights on” and prepare for 10 key technologies and trends likely to significantly impact their support of digital infrastructure in 2020 and beyond.

In recent years, Gartner has detected a significant range of automation maturity across clients: Most organizations are automating to some level, in many cases attempting to refocus staff on higher-value tasks. However, automation investments are often made without an overall automation strategy in mind.

“As vendors continue to pop up and offer new automation options, enterprises risk ending up with a duplication of tools, processes and hidden costs that culminate to form a situation where they simply cannot scale infrastructure in the way the business expects,” said Winser. “We think that by 2025, top performing leaders will have employed a dedicated role to steward automation forward and invest to build a proper automation strategy to get away from these ad hoc automation issues.”

“Today’s infrastructure is in many places — colocation, on-premises data centers, edge locations, and in cloud services. The reality of this situation is that hybrid IT will seriously disrupt your incumbent disaster recover (DR) planning if it hasn’t already,” said Winser.

Often, organizations heavily rely on “as a service (aaS)” offerings, where it is easy to overlook the optional features necessary to establish the correct levels of resilience. For instance, by 2021, the root cause of 90 percent of cloud-based availability issues will be the failure to fully use cloud service provider native redundancy capabilities.

“Organizations are left potentially exposed when their heritage DR plans designed for traditional systems have not been reviewed with new hybrid infrastructures in mind. Resilience requirements must be evaluated at design stages rather than treated as an afterthought two years after deployment,” said Winser.

For enterprises trying to scale DevOps, action is needed in 2020 to find an efficient approach for success. Although individual product teams typically master DevOps practices, constraints begin to emerge as organizations attempt to scale the number of DevOps teams.

“We believe that the vast majority of organizations that do not adopt a shared self-service platform approach will find that their DevOps initiatives simply do not scale,” said Winser. “Adopting a shared platform approach enables product teams to draw from an I&O digital toolbox of possibilities, all the while benefiting from high standards of governance and efficiency needed for scale.”

“Last year, we introduced the theme of ’infrastructure is everywhere’ that the business needs it. As technologies like AI and machine learning (ML) are harnessed as competitive differentiators, planning for how explosive data growth will be managed is vital,” said Winser. In fact, by 2022, 60 percent of enterprise IT infrastructures will focus on centers of data, rather than traditional data centers, according to Gartner.

“The attraction of moving selected workloads closer to users for performance and compliance reasons is understandable. Yet we are rapidly heading toward scenarios where these same workloads run across many locations and cause data to be harder to protect. Cascade effects of data movement combined with data growth will hit I&O folks hard if they are not preparing now.”

Successful IoT projects have many considerations, and no single vendor is likely to provide a complete end-to-end solution. 

“I&O must get involved in the early planning discussions of the IoT puzzle to understand the proposed service and support model at scale. This will avoid the cascade effect of unforeseen service gaps, which could cause serious headaches in future,” said Winser.

Distributed cloud is defined as the distribution of public cloud services to different physical locations, while operation, governance, updates and the evolution of those services are the responsibility of the originating public cloud provider.

“Emerging options for distributed cloud will enable I&O teams to put public cloud services in the location of their choosing, which could be really attractive for leaders looking to modernize using public cloud,” said Winser.

However, Winser points out that the nascent nature of many of these solutions means a wide range of considerations must not be overlooked. “Enthusiasm for new services like AWS Outposts, Microsoft Azure Stack or Google Anthos must be matched early on with diligence in ensuring the delivery model for these solutions is fully understood by I&O teams who will be involved in supporting them.”

“Customer standards for the experience delivered by I&O capabilities are higher than ever,” said Winser. “Previous ‘value adds’ like seamless integration, rapid responses and zero downtime are now simply baseline customer expectations.”

Winser warned leaders that as digital business systems reach deeper into I&O infrastructures, the potential impact of even the smallest of I&O issues expands. “If the customer experience is good, you might grow in mind and market share over time; but if the experience is bad, the impacts are immediate and could potentially impact corporate reputation rather than just customer satisfaction.”

Low-code is a visual development approach to application development that is becoming increasingly appealing to business units. It enables developers of varied experience levels to create applications for web and mobile with little or no coding experience, largely driving a “self-service” model for business units instead of turning to central IT for a formal project plan.

In many cases, network teams have excelled in delivering highly available networks, which is often achieved through cautious change management. At the same time, the pace of change is tough for I&O to keep up with, and there are no signs of things slowing down.

Winser said that the continued pressure to keep the lights shining brightly has created unexpected issues for the network. “Cultural challenges of risk avoidance, technical debt and vendor lock-in all mean that some network teams face a tough road ahead. 2020 needs to be the time for cultural shifts, as investment in new network technologies is only part of the answer.”

As the realities of hybrid digital infrastructures kick in, the scale and complexity of managing them is becoming a more pressing issue for IT leaders.

Organizations should investigate the concept of HDIM, which looks to address the primary management issues of a hybrid infrastructure. 

“This is an emerging area, so organizations should be wary of vendors who say they have tools that offer a single solution to all their hybrid management issues today. Over the next few years, though, we expect vendors focused on HDIM to deliver improvements that enable IT leaders to get the answers they need far faster than they can today.”