Operations | Monitoring | ITSM | DevOps | Cloud

January 2025

Software Development Life Cycle: SDLC phases and best practices

The Software Development Lifecycle (SDLC) is a methodology that provides a structured process for developing high-quality software in a timely and cost-effective manner. The SDLC outlines software development as a series of tasks, creating a management framework focused on efficiency and quality. Software development is a tightly interwoven process that balances costs, deadlines, and capabilities.

Introducing the Time Series Buying Guide for IIoT

All machinery and equipment, including their controls and sensors, tell a story through the data they collect. This data, or Industrial Internet of Things (IIoT) data, provides a detailed narrative about the machines, offering actionable insights to improve operations. IIoT data empowers businesses to optimize and enhance industrial processes by detailing operational status, performance metrics, usage patterns, health diagnostics, and environmental conditions.

A Plan to Achieve IT Resilience

Ensuring your organization can continue running critical services, even during unexpected challenges, requires a solid IT resilience plan. An IT resilience plan involves more than just traditional disaster recovery. It focuses on keeping vital applications, data, and business operations intact no matter what happens. In this guide, we’ll explore key components and best practices to help you establish a comprehensive plan for ongoing business continuity.

Monitoring a Low-Power Wireless Network Based on Smart Mesh IP

Monitoring IoT applications is essential due to their operation in dynamic and challenging environments, which makes them susceptible to various operational and connectivity issues. Application Performance Monitoring (APM) is the key to identifying and resolving these issues in real time, ensuring uninterrupted data flow and functionality. Moreover, the insights gained from APM can optimize device performance, ensure reliability, and reduce operational costs.

Monitor the Performance of Your Python Flask Application with AppSignal

When a system runs slowly, our first thought might be that it’s failing. This common reaction underscores a key point: In the world of web applications, even milliseconds matter. Performance impacts user satisfaction and operational efficiency, making it a critical factor. In this article, we'll show you how to use AppSignal to monitor and improve the performance of your Flask applications.

This Month in Datadog: Datadog On-Call is now generally available

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog On-Call.

SolarWinds Voices: Rob Johnson on Cyber Security Intelligence

With the UK government's 2024 launch of a project to integrate AI into classrooms, Rob Johnson, VP of Solutions Engineering, takes a closer look at the landscape of education and AI in a piece for cybersecurityintelligence.com. Aimed at creating lesson plans and easing the administrative burden of teachers, the initiative aims to allow education staff to focus on areas of their roles that currently get sidelined.

RUM: Key Metrics and How to Measure Them

User experience (UX) is key to success. To ensure your web or mobile app performs well, RUM (Real User Monitoring) helps you track real-time interactions with actual users. It gives you valuable insights into how your audience experiences your product. In this guide, we’ll explore what RUM monitoring is, why it matters, and how it can help boost performance and user satisfaction.

What Are Syslog Levels and Why Should You Care?

Syslog is a foundational part of logging in Linux and Unix-based systems, helping engineers efficiently capture and analyze system events. Among its core components, syslog levels play a crucial role in categorizing logs based on their severity. Understanding these levels can significantly improve troubleshooting, monitoring, and alerting strategies.