Zenoss: Delivering a next-generation cloud solution for streamlined IT operations management

About Zenoss

Zenoss provides enterprises with a single pane of glass for monitoring the health of complex, hybrid IT environments. By collecting all types of machine data, the Zenoss Cloud platform builds real-time IT service models that train machine learning algorithms to predict and eliminate outages in hybrid IT environments, dramatically reducing downtime and IT spend. In April 2018, Zenoss joined the Google Cloud Partner Program as a Technology Partner.

Industries: Technology
Location: United States

Zenoss simplified and sped up development of its new Zenoss Cloud software offering by migrating from its previous cloud platform provider to Google Cloud Platform.

Google Cloud Results

  • Reduces regulatory costs and increases customer value
  • Stays ahead of competitors by delivering new features faster
  • Grows customer base with Google Cloud Platform security features including FedRAMP certification

Reduced development time for new product features from weeks to days

Today, 73% of organizations have at least a portion of their computing infrastructure in the cloud, according to the 2018 IDG Cloud Computing study, which predicts further adoption in coming years.

But as global enterprises move deeper into the cloud, their IT departments must manage a complex infrastructure encompassing both multi-cloud and legacy on-premises environments. The deployment of newer technologies, such as Internet of Things (IoT) devices, adds to the complexity, making it a challenge to efficiently manage and scale large IT environments.

That’s where Zenoss comes in.

Since 2014, the Austin, Texas-based company’s fastest-growing customer option has been its Zenoss as a Service (ZaaS), which simplifies the management of large IT environments in the cloud. ZaaS achieved a 340 percent sales growth in 2017 alone.

“With Google Cloud Platform, we’re leveraging the most powerful machine learning and real-time analytics of streaming data to help customers scale and adapt to the changing needs of their businesses. Plus, all Google Cloud Platform services are FedRAMP certified, so we can take advantage of Google Cloud world-class security.”

Mike Lunt, Vice President of Engineering, Zenoss

The product’s success led Zenoss to develop a next-generation, cloud-based solution for streamlining IT operations management (ITOM), Zenoss Cloud. Zenoss Cloud is a software-defined IT operations solution that incorporates policy-based processing, multimode multitenancy and machine learning (ML) and will soon integrate artificial intelligence (AI), with the goal of delivering a fully autonomous data center. Zenoss Cloud is generally available (GA) with several new customer pilots and existing customers in production.

In early 2018, Zenoss moved development and deployment of Zenoss Cloud from an alternative cloud provider to Google Cloud Platform (GCP). “With Google Cloud Platform, we’re leveraging the most powerful machine learning and real-time analytics of streaming data to help customers scale and adapt to the changing needs of their businesses,” says Mike Lunt, Vice President of Engineering for Zenoss. “Plus, all Google Cloud Platform services are FedRAMP certified, so we can take advantage of Google Cloud world-class security and deliver a best-in-industry security posture to customers.”

Easier, faster development

GCP is ideal for real-time streaming data use cases, and its many services are tightly integrated, which has enabled Zenoss engineers to work much faster.

“Our previous cloud provider didn’t fully support Kubernetes, so we spent weeks trying to spin up a Kubernetes cluster on their platform. Once we moved to Google Cloud Platform, we spun up streaming data clusters in Google Kubernetes Engine within a day or two.”

Mike Lunt, Vice President of Engineering, Zenoss

For example, real-time streaming of machine data for performance monitoring and analysis largely benefits many enterprise and e-commerce sites Zenoss serves but is traditionally a challenge to achieve. Zenoss engineers decided real-time data streaming was an ideal use case for a combination of GCP services including Kubernetes, the open-source system for managing containerized applications, created by Google.

“Our previous cloud provider didn’t fully support Kubernetes,” explains Mike. “So we spent weeks trying to spin up a Kubernetes cluster on their platform. Once we moved to Google Cloud Platform, we spun up streaming data clusters in Google Kubernetes Engine (GKE) within a day or two. Many of our previous platform’s services related to real-time data streaming ran independently of each other. Trying to get them to talk to one another required a lot of effort on our part. Having GKE natively integrate with other GCP services such as Cloud Bigtable and Cloud Dataflow, made real-time streaming possible.”

Because GCP services use the same APIs as Apache open-source projects, Zenoss engineers can take advantage of virtual machine emulators and instances with lower cost and higher productivity. “With Google Cloud Platform, our engineering and operations teams focus less on managing infrastructure and more on end-user functionality,” Mike says. “That’s critical, as we’re selling into a competitive, established market and the faster we deliver new functionality, the sooner we can gain market share.”

Leveraging ML and AI capabilities

Zenoss migrated to GCP partly because Google is noted for its ML and AI capabilities. “GCP was built with data streaming as a first-order item and its advanced machine learning and AI capabilities for analyzing that data are clear differentiators compared to competing platforms,” says Mike.

Zenoss receives from customers a constant stream of real-time machine data that needs to be analyzed. “Customers send data to us from their applications and their infrastructures 365 days a year, 24 hours a day,” says Mike. We’re able to consume and process any kind of machine-created data customers send us using advanced algorithms today in Cloud Dataflow. Going forward, we plan to leverage the advanced capabilities of Cloud Machine Learning Engine.”

In Cloud Bigtable, Zenoss captures streaming, machine-created data from bare metal, virtual, or cloud-based network, storage, and compute technologies. The company is already using advance machine algorithms to determine realistic performance baselines and detect anomalies from the streaming data.

Simplifying the cost structure

GCP offers attractive pricing benefits that include pay-as-you-go services and no upfront costs. “With per-second billing and discounts automatically applied, GCP lets us spend our engineering time focusing on increasing customer value instead of worrying about how to regulate our costs,” says Mike.

Better securing the infrastructure

The U.S. government’s Federal Risk and Authorization Management Program, or FedRAMP, provides a standardized approach to security in the cloud. Increasingly, many Zenoss customers, especially those in finance and government as well as managed service providers, expect FedRAMP certification. “GCP offers across-the-board FedRAMP certifications, so we don’t have to worry about it,” Mike says. “In addition, the advanced security features in GCP, such as a global private network with default encryption at every layer, is a strong selling point for Zenoss in attracting new customers while giving Zenoss engineers greater peace of mind.”

“We have a great working relationship with Google. Their sales engineers and sales folks have joined us in meetings with our enterprise clients to help explain the benefits of GCP. That’s a level of partnership we haven’t experienced with other public cloud vendors.”

Brian Wilson, Chief Customer Officer, Zenoss

Partnering with Google

In April 2018, Zenoss joined the Google Cloud Partner Program as a Technology Partner.

“We have a great working relationship with Google,” explains Brian Wilson, Chief Customer Officer for Zenoss. “Their sales engineers and sales folks have joined us in meetings with our enterprise clients to help explain the benefits of GCP. That’s a level of partnership we haven’t experienced with other public cloud vendors. Google Cloud executives also presented at our recent user conference. All of this directly benefits our customers, because they gain a deeper understanding of how we can help them.”

About Zenoss

Zenoss provides enterprises with a single pane of glass for monitoring the health of complex, hybrid IT environments. By collecting all types of machine data, the Zenoss Cloud platform builds real-time IT service models that train machine learning algorithms to predict and eliminate outages in hybrid IT environments, dramatically reducing downtime and IT spend. In April 2018, Zenoss joined the Google Cloud Partner Program as a Technology Partner.

Industries: Technology
Location: United States
Google Cloud Platform logo

12 Months FREE TRIAL

Try Kubernetes Engine, BigQuery, and other Cloud Platform products with $300 in free credit and 12 months.

TRY IT FREE
Google Cloud Platform logo

12 Months FREE TRIAL

Try Kubernetes Engine, BigQuery, and other Cloud Platform products with $300 in free credit and 12 months.

TRY IT FREE