Application Performance Management

Application Performance Management | News, how-tos, features, reviews, and videos

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Python garbage collection and the gc module

How does Python deal with memory management? Learn the ins and outs of Python's garbage collection system and how to avoid its pitfalls.

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Error tracking with JavaScript, React, and Sentry

Sentry is a full-stack error tracking system for JavaScript applications and more. Let's see how it works.

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Partitioning for performance in a sharding database system

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works.

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Making application modernization pragmatic and useful

Moving legacy applications to the cloud to leverage modern security and data, containers, microservices, and portability usually makes things worse. Here’s why.

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ServiceNow adds incident response platform to SaaS portfolio

Lightstep Incident Response gives devops teams access to observability tools to determine the root cause of incidents via a self-service portal.

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3 ways to use data, analytics, and machine learning in test automation

Better testing means better software. Using NLP, test data generation, and optimized testing can quickly improve applications.

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How cloud-native apps and microservices impact the development process

Best practices such as code refactoring and using microservice design patterns help software developers working at high velocity.

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Sumo Logic enhances observability suite for app, infrastructure performance

The new DevSecOps-oriented tools, announced this week at the company's Illuminate virtual conference, are part of Sumo Logic's Continuous Intelligence platform, and designed to provide real-time, deeper insights into critical...

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How Grafana Tempo simplifies distributed tracing

Grafana Tempo is an open source, easy-to-use, high-volume distributed tracing system that takes advantage of 100% sampling, and only requires an object storage back end.

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The importance of classifying analytics

Aligning the right metrics to the right use case allows for timelier reporting and reduces application risk.

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5 devops practices to improve application reliability

How to use monitoring and observability to resolve application performance problems before they impact users and the business.

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What is observability? Software monitoring on steroids

Observability is an increasingly vital consideration for software engineers looking to build better, more stable applications. Here is everything you need to know about observability.

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Observability: What IT should know as the technology heats up

As modern software systems become more and more complex, gaining observability into how applications perform and what makes them fail is quickly climbing up the priority list.

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AI, machine learning, and deep learning deep dive

Download this 26-page in-depth guide to AI, machine learning, and deep learning for easy reading at your convenience

Get started with Angular

A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, directives, services, and routers

Python megaguide: The best frameworks and IDEs

Only on InfoWorld: A hands-on, in-depth look at 13 Python web frameworks and six Python development toolkits

Quick guide: Digital transformation and the agile enterprise

Enterprise transformation is hard. But when you build a platform for continuous change, putting new ideas into production becomes a lot easier

Career hacks: Professional do’s and don’ts for developers

The hot skills to master, the secrets to breaking into management, the career mistakes to avoid -- here's how to refactor yourself as the developer every organization wants

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