Riverbed to Showcase Unified APM and End-User Experience Monitoring Solution at Velocity Conference
June 12, 2018
Share this

Riverbed will showcase at O’Reilly Velocity, a conference devoted to web operations, DevOps, and systems engineering, the latest release of Riverbed SteelCentral.

Riverbed SteelCentral blends device-based end user experience, infrastructure, application, and network monitoring to enable customers to holistically manage the users’ digital experience.

This unique approach enables organizations to monitor the digital experience for all users and all applications - on prem, SaaS, and cloud - while capturing every application transaction at a level of depth and quality that is essential for digital business insights. This release also introduces unparalleled “big data” scale for digital business with the ability to collect and analyze full details for billions of transactions per day, and delivers powerful AI and business analytics that provide meaningful insights for IT and the business.

Riverbed Presentation

Title: The “Sound” of Performance Monitoring Data

Date/Time: Thursday June 14, 2018 at 1:15pm - 1:55pm PDT

Location: Room LL20 C

Speaker: Jon Hodgson, Chief Scientist for APM at Riverbed Technology

At the conference, Jon Hodgson, Chief Scientist for APM at Riverbed, will lead a presentation that will explore how the digital media industry leverages fundamental digital signal processing principles to ensure that analog events are captured with precise fidelity, yet in the field of performance monitoring, these principles seem to be largely absent in many tools, which then imprecisely capture the performance data we rely on.

Using sound as a surrogate for monitoring data, Jon will offer an overview of digital signal processing concepts and investigate analogous real-world cases where performance data effectively “lied” to the troubleshooter, suggesting that overloaded resources weren’t and vice versa. Attendees will learn how to avoid these pitfalls and determine if the data from their monitoring tools is sufficient to detect and quantify certain common problems and how to read between the lines to identify when the data can (and cannot) be trusted. Along the way, Jon will explain how other fields have overcome these challenges and how some of their unconventional techniques can be applied to DevOps methodologies.

Share this

The Latest

October 23, 2018

For anyone that's been in a war room, there's no denying that it can be an intense place. Teams go to the war room to win. But, the ideal outcome is a solid plan or solution designed to deliver the best outcome while utilizing the least resources. What are some of the key triggers that drive IT teams into the war room and how can you prepare yourself to contribute in a positive way? ...

October 22, 2018

With Black Friday and Cyber Monday just weeks away, Catchpoint has identified the top five technical items most likely to cause web or mobile shopping sites to perform poorly ...

October 19, 2018

APM is becoming more complex as the days go by. Server virtualization and cloud-based systems with containers and orchestration layers are part of this growing complexity, especially as the number of data sources increases and continues to change dynamically. To keep up with this changing environment, you will need to automate as many of your systems as possible. Open APIs can be an effective way to combat this scenario ...

October 18, 2018

Two years ago, Amazon, Comcast, Twitter and Netflix were effectively taken off the Internet for multiple hours by a DDoS attack because they all relied on a single DNS provider. Can it happen again? ...

October 17, 2018

We're seeing artificial intelligence for IT operations or "AIOps" take center stage in the IT industry. If AIOps hasn't been on your horizon yet, look closely and expect it soon. So what can we expect from automation and AIOps as it becomes more commonplace? ...

October 15, 2018

Use of artificial intelligence (AI) in digital commerce is generally considered a success, according to a survey by Gartner, Inc. About 70 percent of digital commerce organizations surveyed report that their AI projects are very or extremely successful ...

October 12, 2018

Most organizations are adopting or considering adopting machine learning due to its benefits, rather than with the intention to cut people’s jobs, according to the Voice of the Enterprise (VoTE): AI & Machine Learning – Adoption, Drivers and Stakeholders 2018 survey conducted by 451 Research ...

October 11, 2018

AI (Artificial Intelligence) and ML (Machine Learning) are the number one strategic enterprise IT investment priority in 2018 (named by 33% of enterprises), taking the top spot from container management (28%), and clearly leaving behind DevOps pipeline automation (13%), according to new EMA research ...

October 09, 2018

Although Windows and Linux were historically viewed as competitors, modern IT advancements have ensured much needed network availability between these ecosystems for redundancy, fault tolerance, and competitive advantage. Software that offers intelligent availability enables the dynamic transfer of data and its processing to the best execution environment for any given purpose. That may be on-premises, in the cloud, in containers, in Windows, or in Linux ...

October 04, 2018

TEKsystems released the results of its 2018 Forecast Reality Check, measuring the current impact of market conditions on IT initiatives, hiring, salaries and skill needs. Here are some key results ...