Root cause analysis (RCA) is a systematic approach to defining symptoms, identifying contributing factors, and repairing faults when problems arise. The process can be applied to virtually any problem in any industry, from NASA’s Apollo 13 mission to everyday tech problems that happen within modern IT departments.
Four years ago tomorrow, our team rang the bell to open the NYSE for PagerDuty’s IPO. We spent two weeks traveling to meet hundreds of prospective investors in person, sustained by a diet of Cheetos and green M&Ms, sneaker-clad walks to meetings, and unwinding with bad karaoke. We’ve grown in many ways in our first four years as a public company. We have more than doubled the number of customers on the PagerDuty platform, and nearly tripled the number of users.
Has your network been bitten by the jitterbug? Are you tired of your network dancing the jitterbug? Do you find yourself constantly tapping your foot waiting for pages to load or downloads to finish? Network jitter is your network's biggest enemy when using unified communications and real-time apps like IP telephony, video conferencing, and virtual desktop infrastructure. Troubleshooting and measuring jitter helps you avoid sounding like a robot on video calls.
Data pipelines are the backbone of Machine Learning projects. They are responsible for collecting, storing, and processing the data that is used to train and deploy machine learning models. Without a data pipeline, it would be very difficult to manage the large amounts of data that are required for machine learning projects.
Most companies today have multiple cloud instances with multiple cloud service providers (CSPs) as well as an on-premises environment. It’s complex, but that doesn’t make it inherently wrong—there are usually good business reasons behind the decisions. It does, however, create management challenges.
As a software engineer, one of your goals is to ensure that your product can be accessed globally by your customers. It’s not enough that an app is bug-free and works flawlessly if it only works on localhost. Docker was introduced to solve the “it works on my machine” problem. For example, the particular version of a programming language a developer is using on Windows or MacOS may not be working on the hosting server.
In this article, learn how to setup application monitoring for Node.js apps with our open-source solution, SigNoz. Node.js tops the list of most widely used frameworks by developers. Powered by Google's V8 javascript engine, its performance is incredible. Ryan Dahl, the creator of Node.js, wanted to create real-time websites with push capability. On Nov 8, 2009, Node.js was first demonstrated by Dahl at the inaugural European JSconf.
