Cloudyn Raises $11M In Series B Funding For Hybrid Cloud Monitoring & Performance Optimization

Cloud monitoring and optimization vendor Cloudyn today announced the finalization of $11M in Series B funding. Carmel Ventures led the capital raise in conjunction with previous investors Titanium Investments and RDSeed. The funding will be used to expand Cloudyn’s marketing and sales operations toward the end of improving market share and brand recognition and value. Cloudyn has increased revenue by a factor of three for each of the past three consecutive years and currently monitors over 200,000 virtual machines with its cloud monitoring software. Unlike other infrastructure monitoring tools, Cloudyn specializes in hybrid cloud monitoring and optimization and differentiates by way of its ability to support the monitoring of on-premise, private clouds in addition to deployments on public clouds. Cloudyn’s funding raise builds on its October announcement regarding its ability to “SmartSize” deployments that assesses the optimal scale of a deployment by taking into account variables such as instances, workloads, applications and its expected growth trajectory. The combination of Cloudyn’s SmartSizing-based cloud deployment functionality and its ability to monitor private and public cloud deployments from a unified pane of glass enables it to provide customers with prescriptive analytics about the optimal mix of private and public cloud infrastructures for their deployments.  With an extra $11M in the bank, expect Cloudyn to continue increasing market share for cloud monitoring and optimization as the proliferation of hybrid cloud deployments in the enterprise leads to an intensified need for hybrid cloud monitoring platforms.

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Cloudyn Announces Ability To SmartSize Deployments And Support For Hybrid Cloud Monitoring

Cloudyn recently announced new functionality for its cloud monitoring and optimization platform in the form of SmartSizing and the ability to manage hybrid clouds. Cloudyn’s SmartSizing solution assesses deployments by means of an analysis that includes instances, workloads and applications as opposed to the traditional approach of considering instances alone. By including attention to workloads and use cases in its assessment of the optimal deployment, Cloudyn delivers a smart-sized analysis of the scale of a deployment based on a holistic view of the hardware-based infrastructure in conjunction with the architecture specific to its applications and workloads. Cloudyn’s SmartSizing solution takes into consideration the deployment’s projected growth trajectory and recommends downsizing or upsizing accordingly. In addition to SmartSizing, Cloudyn announced the ability of its cloud monitoring platform to monitor private clouds, thereby enabling customers to manage hybrid cloud infrastructures from a single, unified management console. Cloudyn’s prescriptive, real-time analytics provide guidance regarding the optimal combination of private and public cloud deployments. Moreover, the combination of the Cloudyn platform’s ability to smart-size deployments alongside its support for hybrid clouds means that customers can now size up exactly the right size and type of deployment while managing the entire hybrid cloud infrastructure from a single pane of glass. Taken together, Cloudyn’s SmartSizing product and ability to support hybrid cloud infrastructures renders its cloud monitoring and optimization platform hugely relevant for customers seeking to manage hybrid clouds while understanding the optimal size of their deployments as well.

Cloudyn Announces Support For Microsoft Azure For Cloud Performance And Cost Analytics

Cloud monitoring leader Cloudyn today announced its support for the Microsoft Azure cloud. Cloudyn’s support of Azure means complements its existing support for Amazon Web Services, Google Cloud Platform and OpenStack, thereby rendering it compatible with an even wider range of hybrid cloud infrastructures. Cloudyn specializes in performance management across a variety of cloud infrastructures by means of a unified user interface. In addition to performance management, Cloudyn also delivers cost tracking and optimization services that allow customers to control costs by optimizing resource and infrastructure allocations across different infrastructures and applications. The following screenshot of Cloudyn’s management dashboard illustrates the cost-tracking functionality of the Cloudyn platform:

Cloudyn’s data visualization functionality provides customers with nuanced drill-downs of cost by entity, cost savings opportunities and trend analytics of cost over time. By supporting Microsoft Azure, Cloudyn provides customers with the ability to understand how an Azure deployment alters the cost and performance equation in a hybrid cloud infrastructure that might alternatively include an on-premise OpenStack deployment as well as use of Amazon Web Services. Cloudyn CEO Sharon Wagner commented on the significance of the company’s support for Azure as follows:

We’re thrilled to add support of Microsoft Azure to our set of cloud platforms. Our customers’ interests in Azure adoption have grown rapidly. From the onset, we’ve been committed to helping our customers ease into the multi-cloud model as well as successfully manage it. Now we’ll be able to further help them cut down on cloud spend while avoiding cloud sprawl.

In a phone interview with Cloud Computing Today, Wagner noted that all performance metrics collected from the cloud infrastructures that Cloudyn supports reside on the same table, giving Cloudyn the unique capability to perform cross-cloud performance and cost comparisons. Cloudyn’s ability to deliver rich and nuanced analytics for hybrid cloud deployments renders it a powerful tool for contemporary cloud deployments, the vast majority of which necessarily embrace some combination of private and public cloud environment. Today’s announcement of its support for Azure represents yet another important milestone for Cloudyn, particularly as it seeks to add even more cloud platforms to the list of infrastructures it supports for performance and cost analytics.

Cloudyn Announces General Availability Of Cloud Cost Tracking Tool

Today, cloud monitoring vendor Cloudyn announces the general availability of Cost Allocation 360, a tool that enables granular tracking of cloud-related costs. Cloudyn’s Cost Allocation 360° enables IT administrators to decompose cloud-related expenses by components such as the application, business unit, user group, product or sales region. Cost Allocation 360’s Tag Manager enables customers to tag infrastructure components as related to analytic dimensions of interest for subsequent use in cost-related reporting and trend analytics. As such, Cost Allocation 360° enables an unprecedented degree of visibility into the drivers behind cloud-related expenses and provides the means whereby IT and Finance departments have access to granular reporting that can be used for more accurate intra-departmental billing, and analytics of the relative expense incurred by hosting various products and applications. Cost Allocation 360° also boasts automated tagging of untagged infrastructure and application components and thereby minimizes the degree of manual intervention and upkeep required to keep track of the decomposition of cloud-related costs. Cost Allocation 360° supports public, private and hybrid cloud deployments on Amazon Web Services, Google Compute Engine and OpenStack-based IaaS infrastructures. The initial rollout of the application lacks the ability to track costs that are shared by infrastructure components such as shared services that leverage the same server, although Cloudyn customers can expect successively nuanced iterations of the tool’s ability to track costs as the tool evolves. Nevertheless, the tool represents a key step forward toward empowering enterprises to more effectively understand cost allocations within their cloud infrastructures and to subsequently tweak their deployment and cloud operational management strategies accordingly.

Cloudyn Secures $4M In Funding For Cloud Monitoring And Optimization Platform

Cloud monitoring and analytics vendor Cloudyn today announced the finalization of $4M in funding in a capital raise led by Titanium Investments with additional participation from existing investor RDSeed. Cloudyn’s cloud monitoring solutions deliver actionable business intelligence that empowers cloud users to optimize the performance of their infrastructures. The funding will be used to accelerate product development and enable its cloud analytics platform to support more cloud infrastructure platforms. The uniqueness of Cloudyn’s platform consists in its ability to perform cloud monitoring across a variety of vendors and infrastructures. Although most cloud vendors provide a monitoring dashboard and user interface in conjunction with their IaaS platform, Cloudyn’s value proposition rests on its ability to provide cloud monitoring across multiple vendors and environments that include private, public and hybrid infrastructures. Currently supported cloud platforms include Amazon Web Services, Google Compute Engine and OpenStack as illustrated by the graphic below:

The screenshot above provides a comparison of OpenStack, GCE and AWS costs for a customer that has chosen to use all three vendors. As told to Cloud Computing Today in a phone interview with Cloudyn’s CEO Sharon Wagner, Microsoft Azure and VMware represent key priorities for integration into Cloudyn’s monitoring and optimization platform based on customer interest and feedback. To date, Cloudyn monitors 8% of customer expense on AWS in addition to year over year revenue growth in excess of 400%, and a doubling of revenue for six consecutive quarters. Today’s funding raise brings the total capital raised by Cloudyn to $5.3M. With an extra $4M in the bank, expect Cloudyn to expand its 2400+ customer base significantly, particularly if it manages to notably expand its range of supported IaaS platforms.

Note: Data in the above screenshot does not represent an actual comparison of OpenStack, AWS and GCE costs and should be understood as sample data only.