Browsing posts tagged with: cloud

The Hidden Cost of Multiple Tools
May 22, 2014 by

Networking Technology, Performance Monitoring

As application deployments get more complex, the tools to make sure they’re working have certainly more than kept up. Not only do we have tools to monitor hardware health, but there are tools to measure network performance, application performance, and resource usage for every conceivable piece of every system. Unfortunately, collecting data for data’s sake
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Now Monitoring: Adobe Experience Manager (CQ5)
May 14, 2014 by

Performance Monitoring

CQ5 (now Adobe Experience Manager) is a web content management system (WCMS) originally developed by Swiss company Day Software. Day was later acquired by Adobe, and its core product became Adobe’s primary WCMS offering. CQ5 helps companies to build, manage and deliver their digital contents across different channels at scale, especially when there’s a large
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Customizing Chef Bootstrap Templates
April 14, 2014 by

Industry Insights

At AppNeta, we use Chef to set up EC2 instances for the purpose of testing our TraceView instrumentation modules.  TraceView has agents for Java, .NET, Python, Ruby, and PHP, and one of the most important requirements for all of these is that they’re easy to deploy (typically less than 5 minutes). This means it should be
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AppNeta announces new performance tools for high-altitude cloud applications, partnership with National Weather Service
April 1, 2014 by

Company News

For immediate release Boston, Vancouver, and Providence (April 1, 2014) — Full-stack application performance management software maker AppNeta today announced a suite of new features aimed at helping developers and IT professionals understand the performance of apps deployed in the cloud — literally.

Introducing CloudView

Company News

AppNeta expands Full Stack Performance Management offerings with the release of its cutting edge CloudView system, a robust Cloud insight platform launching today. After spending a long weekend stuck in an airport due to a minor luggage misunderstanding in Columbia, AppNeta rockstar engineer Pat Neap returned home recently under totally legitimate and customs compliant circumstances
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AppNeta Recognized by Gartner in the Magic Quadrant for NPMD
March 24, 2014 by

Company News

Only SaaS Company Named to both APM and NPMD Magic Quadrants BOSTON — March 24, 2013 — AppNeta, the leading provider of full stack application performance management solutions, today announced it has been positioned by Gartner, Inc. in the Visionaries quadrant of the “Magic Quadrant for Network Performance Monitoring and Diagnostics.”[1]For a complimentary copy of the
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Automated Testing of Hardware Appliances with Docker
March 14, 2014 by

Performance Monitoring

Back in November, we described how we do Automation Testing in a very high level overview. Today, we are going to show how we prepare a specific part of the infrastructure for the purpose of Automation Testing: the virtual appliance.

Monitoring the Performance to SaaS & Cloud Services
March 11, 2014 by

Networking Technology, Performance Monitoring

What is a Path? A Path is the network connection from a source to a target, specifically measuring the maximum end to end performance achievable. For example a Path from our office here in Boston to the Salesforce.com instance we use (NA2) located outside of Chicago consists of 12 layer 3 network hops.

The Most Agile Way to Manage Technical Debt
February 24, 2014 by

Performance Monitoring

As an engineering team we strive to find the right balance between aggressively building out product capabilities and managing technical debt. At AppNeta we have hardened our process to define and manage this balance. Our current process involves virtual teams who break away from the feature development at hand to focus on technical debt in
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Amazon Storage Shootout: EBS vs. Provisioned IOPS
February 22, 2014 by

Performance Monitoring

Over the past few months, we have had troubles supporting our ever growing data store. The main problem being database performance specially when answering queries involving large data sets. Code tuning is definitely the answer to a majority of these issues. However, there is always a performance bottleneck posed by the underlying infrastructure. In this
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