Operations | Monitoring | ITSM | DevOps | Cloud

From data to action: Optimize Core Web Vitals and more with Datadog RUM

Delivering seamless user experiences requires deep visibility into web performance. Core Web Vitals—Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS)—serve as critical benchmarks for assessing site health. However, many teams struggle to turn these metrics into actionable insights that can help resolve performance problems.

Website monitoring checklist

Website monitoring can be much more effective with more specifics and details. Before diving into the specifics of monitoring, it's best to define your goals and preferences first. What is your target for implementing the monitoring? Is a better uptime all you are looking for, or do you wish to fine-tune your site's user experience? Making a website monitoring plan that is in line with your strategy and KPIs is always preferable to a one-size-fits-all approach.

Ready or Not, Agentic AI Is Transforming Your Industry, And Here's Your Guide to Leverage It

As we move further into 2025, the distinction between digital transformation and AI transformation is blurring. According to Gartner, 33% of enterprise software applications will incorporate Agentic AI by 2028, signaling the rapid mainstream adoption of this technology. While digital transformation laid the groundwork for modernization, a new paradigm is emerging: Agentic AI. This revolutionary approach to artificial intelligence is reshaping how businesses operate, make decisions, and deliver value.

How Should You Compensate Your Employees for Being On Call?

In today’s fast-paced, always-connected world, many businesses require employees to be on call to ensure smooth operations and quick responses to critical issues. However, compensating employees for being on call can be a tricky subject. It’s important to strike a balance between fairness, accountability, and incentivizing the right behaviors. Let’s explore four common methods of compensating employees for being on call, along with their advantages and disadvantages.

Revyz Revolutionizes Jira Administration: A Game-Changing Deployment Solution for Simplifying Complex Configuration Management

Managing Jira configurations across multiple environments has always been a daunting task for administrators. From sandbox to production, the intricate processes often involve manual interventions, risks of configuration drift, and compliance challenges. However, Revyz, an Atlassian cloud data management leader, has unveiled a groundbreaking deployment management suite that promises to transform how Jira admins tackle these complexities. This innovative solution not only simplifies configuration deployments but also enhances security, compliance, and operational efficiency.

Unlock the Secret to IT Efficiency: How Proactive Maintenance Saves You Time, Money, and Headaches

In today's fast-paced business environment, the role of IT has never been more critical. Whether it's keeping your systems secure, ensuring smooth day-to-day operations, or enabling innovative solutions, technology underpins almost every aspect of business performance. However, as essential as IT is, it's also susceptible to breakdowns, inefficiencies, and unexpected challenges. These issues can disrupt operations, drain resources, and lead to expensive downtimes.

How to use LLMs to generate test data (and why it matters more than ever)

The way software is written is changing fast. In the past few years, AI coding assistants and large language models (LLMs) have gone from novelty to necessity for many developers. Tools like Cursor, ChatGPT, and custom in-house models are helping teams generate boilerplate, scaffold features, and even build entire apps within minutes. It’s exciting. But it also raises the stakes. When code is written faster, it’s deployed faster.

Building a Software Data Retention Strategy and Why You Need One

Every day, your developers are pushing software. Some of that software will make it to production, but many of those incremental builds will not. While you shouldn’t remove those incremental builds and old release versions haphazardly, if left unchecked, they can clog up your software repositories as well as the workflows and systems they serve.

Optimizing SQL (and DataFrames) in DataFusion: Part 2

Part 2: Optimizers in Apache DataFusion In the first part of this post, we discussed what a Query Optimizer is and what role it plays and described how industrial optimizers are organized. In this second post, we describe various optimizations found in Apache DataFusion and other industrial systems in more detail.