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Web Application Monitoring: Best Practices and Strategies for Performance Monitoring

Table of Contents Intro What is Application Monitoring? Types of Web Application Monitoring Factors To Consider in Web Application Monitoring Web Application Monitoring Best Practices Establish Clear Monitoring Objectives Select the Right Monitoring Solution Define the Key Performance Metrics Set Up Custom Alerts and Notifications Test and Verify Web App Monitoring Analyze and Respond to Monitoring Information Why is Monitoring Web Applications Important?

Create Golden Paths for your development teams with Datadog App Builder and Workflow Automation

Improving the developer experience is a chief concern for many orgs who must maintain highly complex software architectures and platforms supported by an intricate web of internal processes. Platform engineering for Golden Paths seeks to address this by providing self-service tools, capabilities, and processes to help engineers start new projects in a more standardized, less mistake-prone way.

Optimize PostgreSQL performance with Datadog Database Monitoring

PostgreSQL is a widely used open source relational database that many organizations operate as a core part of their infrastructure stack. Because of their mission-critical nature, database-related issues can have outsize downstream impacts on user experience, service performance, and data retention, making it vital to identify and address problems quickly.

Understand AIOps use cases to ensure maximum value

The complexity of modern IT environments and the volume of data they produce have increased by orders of magnitude. According to predictions from UBS, the data universe will grow by more than a factor of 10 — reaching 660 zettabytes — from 2020 to 2030. This explosive growth exceeds the abilities of legacy event-management tools and human operators. AIOps augments human activities within IT operations using AI, data, and machine learning.

Integrating Distributed Tracing in Node.js Application

This architecture allows Node.js to handle thousands of concurrent connections with low overhead, making it highly efficient for building high-performance web servers and microservices. With many such systems adopting microservices and going for a distributed architecture, the necessity to monitor them has also increased. It is difficult to monitor every transaction and how it interacts with other services, so a distributed tracing system deserves a lot of attention here.

OpsRamp Highlights from an Incredible Week at HPE Discover 2024

HPE Discover 2024 was one of the biggest and most monumental events in the history of the company, packed with several ground-breaking announcements. The event was the first-ever corporate keynote at Sphere, Las Vegas and was attended by a record 14000 people. OpsRamp, a Hewlett Packard Enterprise company, played an active role in the conference program and issued several new product announcements. Let’s have a look at some of the key highlights from HPE Discover 2024.

A Guide to Apple Declarative Device Management for Enterprises

Apple declarative management introduces a shift from the traditional command-based model to a more autonomous and flexible framework. This approach aims to improve the efficiency and responsiveness of managing Apple devices. The components of Apple declarative management — declarations, assets, predicates and status channels — work together to create a more efficient, scalable and responsive MDM framework.

Overcoming Connectivity Issues in Distributed Systems: Aerospace

Maintenance and repairs for aerospace operations in orbit present a considerable challenge. It’s not easy to dispatch a technician to fix components on a satellite. That’s why it becomes increasingly critical to plan for as many scenarios as possible before launching and deploying these kinds of devices. To understand what’s happening with orbiting devices, companies need data.

DevOps Automation: Unlock Efficiency, Improve Responsiveness

DevOps uses software development (Dev) and IT operations (Ops) philosophies and practices to shorten the software development lifecycle (SDLC), provide continuous delivery of products, and maintain high software quality. Engineers who tackle slow deployment problems, communication bottlenecks between development and operations teams, and manual and error-prone engineering processes and tasks are doing DevOps work.