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Channel: Engineering – Application Performance Monitoring Blog | AppDynamics
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Ein Beispiel, warum Node.js schneller ist als PHP – Teil 2

Mein letzter Post hat Belastungstests von Ghost (eine node.js-basierte Bloggingplattform) und WordPress (eine PHP-basierte Bloggingplattform und CMS) behandelt. Ich wollte die relative Leistung beider...

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Ein Beispiel, warum Node.js schneller ist als PHP

Ich wollte mal überprüfen warum um Node.js ein solcher Wirbel veranstaltet wird, also habe ich mich entschlossen ein paar Kopf an Kopf Rennen, oder besser gesagt Belastungstests mit Ghost (Node.js) und...

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Attaining Nirvana: The Four Levels of Cloud Maturity

Cloud adoption is atop every CIO’s priority list, and for good reason. Technology stacks are advancing at lightning speeds. Application architectures of the past decade are aging fast and being...

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The Challenges of App Monitoring with .NET Core

The evolution of software development from monolithic on-premises applications to containerized microservices running in the cloud took a major step forward last summer with the release of .NET Core 2....

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The AppD Approach: Leveraging Docker Store Images with Built-In AppDynamics

In my previous blog we explored some of the best and worst practices of Docker, taking a hands-on approach to refactoring an application, always with containers and monitoring in mind. In that project,...

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Introducing Pivotal Cloud Foundry

You may be wondering why we’ve chosen to write an introductory blog on Pivotal Cloud Foundry (PCF). The platform, after all, has been around for a good while. The answer is simple: many of our largest...

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Getting Started with Containers and Microservices

Get Ahead of Microservices and Container Proliferation with Robust App Monitoring Containers and microservices are growing in popularity, and why not? They enable agility, speed, and resource...

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The AppD Approach: How to Monitor .NET Core Apps

For the past few months we’ve been collecting customer feedback on a new agent designed specifically to monitor microservices built with .NET Core. As I discussed a few weeks ago in my post “The...

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The AppD Approach: How to Monitor the AWS Cloud and Save Money

The AppDynamics platform is highly extensible, allowing our customers to monitor a variety of key Amazon Web Services (AWS) metrics. We have 20 unique AWS extensions that capture stats for everything...

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The AppD Approach: Database Monitoring with Service Endpoints

I keep running into cases where the 80/20 rule (also known as the Pareto Principle) helps me prioritize my efforts in APM. I find that 80% of my problems are easy to fix, and once they are fixed, they...

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It’s Time to Rethink Using Log Analytics for APM

Monitoring is complicated, with multiple tools in use and many more available to us for little or no cost. These tools provide many ways to be alerted when issues are detected as well as valuable...

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How to Optimize Enterprise-Scale Node.js Applications

Node.js is rapidly becoming one of the most popular platforms for building fast, scalable web and mobile applications. In fact, the 2017 Node.js User Survey reveals that there are currently over 7...

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The Human Masterminds Behind AI at AppDynamics

A renown data scientist at Bell Laboratories, Tian Bu was ready for a new challenge in early 2015. But of all the places he imagined himself working, Cisco wasn’t on the list. Bu thought of Cisco as a...

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Puppet, an Oldie but Goodie: A DevOps Eponym

Calling a software company that was founded in 2005 an “oldie but goodie” might sound a little ludicrous. After all, AppDynamics, founded in 2008, was not far behind. But technology advances at a...

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How APM Can Support Service Assurance

I’m a New Zealand-based Senior Sales Engineer for AppDynamics with more than 12 years of experience in the IT sector. I’ve had a lot of interesting work-related experiences over the years—living in...

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How to Monitor Code You Didn’t Write

Almost no one writes all their own code. Whether you are an engineer in IT operations or a developer, you are most likely working with code written by someone outside your organization. As a result,...

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Why DevOps Often Fails in FinServ

Financial services organisations are often late adopters of new technologies and methodologies. There are a number of reasons for this, some related to the way regulators and auditors operate in the...

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Advances In Mesh Technology Make It Easier for the Enterprise to Embrace...

More enterprises are embracing containers and microservices, which bring along additional networking complexities. So it’s no surprise that service meshes are in the spotlight now. There have been...

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Why APM Matters in AWS Lambda and Serverless

In the last few years, we’ve heard a lot of buzz about cloud strategies. Although it has become something of a buzzword in broader circles, from a technical perspective, the purposes of “cloud” can be...

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Continuous Performance Testing in a DevOps World

The benefits of adopting a DevOps approach are widely known. By unifying developer and operations groups and emphasizing monitoring and automation, companies are increasing the speed and frequency of...

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