Four New SevOne xStats Adapters Introduced
July 16, 2015
Share this

SevOne announced four new SevOne xStats Adapters for use with Amazon Web Services (AWS), Intelligent Platform Management Interface (IPMI), Arista EO and AppNeta PathView.

SevOne xStats technology incorporates any third-party time-stamped data into the SevOne Performance Monitoring Cluster; that data can be automatically correlated with other metric, flow and log data at scale. With the latest xStats Adapters, SevOne further differentiates itself from other approaches in the market by extending datacenter monitoring with visibility into hybrid-cloud environments and with integrated end-user experience data.

“Today’s hybrid reality means a company’s applications and data are spread across multiple vendors’ environments. While operations teams may not control all the platforms they run on, they still need to monitor the performance of these assets to help the organization meet business, compliance and regulatory needs,” said Jack Sweeney, CEO at SevOne. “SevOne continues to address these challenges with our newest SevOne xStats Adapters, allowing you to see the performance of your entire digital infrastructure—no matter where it is—in a single dashboard.”

Capabilities and features in each adapter include:

AWS — In AWS-based deployments, operations teams have access to the operating systems and applications deployed in the cloud, but have limited visibility when it comes to the underlying compute, network and storage infrastructure needed to gather performance statistics. To help its customers monitor their infrastructure from the datacenter to the hybrid cloud, SevOne offers the SevOne xStats Adapter for use with AWS. This adapter is designed to collect the following metrics from AWS-based environments, including:
- AWS EBS Volume Details
- System Integrity and Failures
- Disk Read/Write Operations
- Network I/O
- CPU Utilization
- Credit Balance/Usage and Estimated Charges for Current Billing Cycle

AppNeta PathView — Understanding how well users are experiencing an infrastructure, whether that service is hosted in a private cloud, IaaS, PaaS or SaaS, is a critical component of a performance monitoring strategy. AppNeta PathView actively tests entire network paths, collecting in-depth end-user experience data across enterprise, cloud and service provider infrastructures. To help monitor end-user experience and correlate it with performance metric, flow and log data, SevOne offers the SevOne xStats Adapter for use with AppNeta PathView. This adapter integrates with AppNeta APIs to enable users to create SevOne dashboards with end-user experience data.

IPMI — Monitoring today's modern datacenters requires a rich understanding of data center infrastructure, spanning network, compute, storage and environmental resources, including a detailed knowledge of per CPU power, temperature, voltage and current utilization. The SevOne xStats™ Adapter for use with IPMI supports more than 200 computer systems vendors, including Cisco, Dell, HP, Intel and NEC. This adapter integrates via the open interfaces of IPMI v1.5 and v2.0 to enable users to create SevOne dashboards with critical environmental and operational metrics from across their compute infrastructure.

Arista EOS — As enterprise and service provider teams move toward more and more virtualized network infrastructure to meet their scalability needs, the methods to gather network performance, CPU, power, temperature and other infrastructure performance data is evolving beyond polling SNMP-based MIBs. To help monitor an Arista EOS-based infrastructure and correlate it with performance metric, flow and log data, SevOne offers the SevOne xStats Adapter for use with Arista EOS. This adapter integrates with the Arista eAPI to enable users to visualize the performance of their Arista EOS-based infrastructure from a single SevOne dashboard.

Along with the latest SevOne xStats Adapters, SevOne has delivered dozens of xStats adapters for customers. SevOne xStats Adapters enable customers to include metrics from any third-party source that provide management functions for components throughout the digital infrastructure, such as network probes, proprietary business applications and element management systems from network equipment vendors.

SevOne offers a number of ways to incorporate third-party data, processing that information with the same analytics applied to out-of-the-box data sources. For custom data sources, just like standard sources, SevOne will automatically establish baselines of normal performance, generate alerts when actual performance deviates from those baselines and feed the data into reporting analytics.

Share this

The Latest

October 06, 2022

The well-known "No free lunch" theorem is something you’ve probably heard about if you’re familiar with machine learning in general. This article’s objective is to present the theorem as simply as possible while emphasizing the importance of comprehending its consequences in order to develop an AIOPS strategy ...

October 05, 2022

IT operations is a metrics-driven function and teams should keep score as a core practice. Services and sub-services break, alerts of varying quality come in, incidents are created, and services get fixed. Analytics can help IT teams improve these operations ...

October 04, 2022

Big Data makes it possible to bring data from all the monitoring and reporting tools together, both for more effective analysis and a simplified single-pane view for the user. IT teams gain a holistic picture of system performance. Doing this makes sense because the system's components interact, and issues in one area affect another ...

October 03, 2022

IT engineers and executives are responsible for system reliability and availability. The volume of data can make it hard to be proactive and fix issues quickly. With over a decade of experience in the field, I know the importance of IT operations analytics and how it can help identify incidents and enable agile responses ...

September 30, 2022

For businesses with vast and distributed computing infrastructures, one of the main objectives of IT and network operations is to locate the cause of a service condition that is having an impact. The more human resources are put into the task of gathering, processing, and finally visual monitoring the massive volumes of event and log data that serve as the main source of symptomatic indications for emerging crises, the closer the service is to the company's source of revenue ...

September 29, 2022

Our digital economy is intolerant of downtime. But consumers haven't just come to expect always-on digital apps and services. They also expect continuous innovation, new functionality and lightening fast response times. Organizations have taken note, investing heavily in teams and tools that supposedly increase uptime and free resources for innovation. But leaders have not realized this "throw money at the problem" approach to monitoring is burning through resources without much improvement in availability outcomes ...

September 28, 2022

Although 83% of businesses are concerned about a recession in 2023, B2B tech marketers can look forward to growth — 51% of organizations plan to increase IT budgets in 2023 vs. a narrow 6% that plan to reduce their spend, according to the 2023 State of IT report from Spiceworks Ziff Davis ...

September 27, 2022

Users have high expectations around applications — quick loading times, look and feel visually advanced, with feature-rich content, video streaming, and multimedia capabilities — all of these devour network bandwidth. With millions of users accessing applications and mobile apps from multiple devices, most companies today generate seemingly unmanageable volumes of data and traffic on their networks ...

September 26, 2022

In Italy, it is customary to treat wine as part of the meal ... Too often, testing is treated with the same reverence as the post-meal task of loading the dishwasher, when it should be treated like an elegant wine pairing ...

September 23, 2022

In order to properly sort through all monitoring noise and identify true problems, their causes, and to prioritize them for response by the IT team, they have created and built a revolutionary new system using a meta-cognitive model ...