Unveiling Digitam: A New Chapter in Observability Guidance
By Nicolas Narbais
When we first set out to build this product, we had a simple mission: help teams get more value out of Datadog. We saw how easy it is for observability costs t
The Guided Ops Era: Why Observability Needs a Compass
By Youssef Mezouar
For years, “visibility” was the holy grail. Teams instrumented everything (logs, traces, metrics), following the seemingly reasonable principle that if they col
Applying Datadog Metrics without Limits at Scale
By Nicolas Narbais
Now that we’ve covered the principles of Metrics without Limits (MwL), let’s explore how you can easily leverage Dataiker to take advantage of this feature. Fi
Getting Started in Datadog: The 5 Fundamentals Every Read-Only User Should Know (Part 1)
By Nicolas Narbais
So, you just got access to Datadog. You log in, and… wow, there’s a lot going on. Dashboards, metrics, traces, logs — it can feel overwhelming if you don’t know
The Most Common Mistakes Teams Make With Datadog Logs (and How to Avoid Them)
By Nicolas Narbais
I’ve worked with teams running Datadog Logs across some of the largest enterprises in the world. One thing I’ve noticed: most logging mistakes aren’t about Data
Setting Up HTTP Checks with the Datadog Agent
By Nicolas Narbais
HTTP checks are a simple way to monitor the availability and response times of your services. This guide walks you through installing the Datadog Agent and conf
DevOps Without SREs: Why Firefighting Never Ends - and How to Fix It
By Youssef Mezouar
If you’re a DevOps engineer at a mid-size SaaS company, chances are you don’t have a Site Reliability Engineering (SRE) team backing you up. * If you’ve worke
![[Youtube] Mastering Synthetic Monitoring with Datadog: A Practical Guide](/_astro/achieving-observability-excellence-key-responsibilities-explore-hero.BsRsI5eq_Z1cBaiC.webp)
[Youtube] Mastering Synthetic Monitoring with Datadog: A Practical Guide
By Nicolas Narbais
Want to catch issues before your users do? Synthetic monitoring lets you proactively test your applications—before, during, and after deployments. In this guide
Datadog Mastery: Logs
By Nicolas Narbais
Welcome to the Datadog Log Management Mastery series—a deep dive into the tools, strategies, and best practices that turn noisy log lines into actionable insigh
Datadog Org migration checklist
By Nicolas Narbais
Before completing your migration, review the following checklist to ensure a smooth transition. 💡Checkout our complete article if something is unclear. ✅ Pla
Your 23-Point Grok Parsing Cheat Sheet - Mastering Datadog Logs
By Nicolas Narbais
Log parsing in Datadog is both an art and a science. Whether you’re just getting started or refining pipelines at scale, crafting robust parsing rules is critic
Log Maturity: Score Assessment
By Nicolas Narbais
Observability, like any other discipline, varies in implementation quality and maturity. This guide outlines key success criteria at each stage of the journey—f
Level Up Your Vercel Monitoring: Advanced Datadog Integration Techniques
By Nicolas Narbais
Using Vercel and looking for a powerful solution to monitor your app’s performance and reliability? This guide walks you through advanced observability using Da
How to Optimize Synthetic Monitoring for UX, Coverage, and Cost
By Nicolas Narbais
What Are Synthetic Tests and Why Do They Matter? Synthetic monitoring is a proactive testing method that simulates user interactions with your website or APIs.
Datadog Mastery: Infrastructure
By Nicolas Narbais
Welcome to the Datadog Mastery series—a collection of hands-on tutorials designed to guide you from your first Agent installation to advanced monitoring strateg
Kubernetes: Unlocking Cost Efficiency and Maximizing Cluster Potential
By Nicolas Narbais
Kubernetes is a powerful tool that delivers incredible benefits, including improved reliability, scalability, and significant cost savings. However, despite its
Making Sense of OpenMetrics in Datadog: Gauges, Counters, and Histograms Demystified
By Nicolas Narbais
Let’s start with the basics—what exactly is OpenMetrics? Think of it as the Esperanto of monitoring data: a standardized, plain-text way of exposing metrics so
Datadog Monitor Analyzer
By Nicolas Narbais
You’ve spent time learning how to configure great monitors in Datadog—from tagging correctly to reducing alert fatigue. But how do you know if your team is cons
Get the Signal, Skip the Noise: Expert Tips for Datadog Monitoring
By Nicolas Narbais
Reliable systems start with effective monitoring—but without careful configuration, monitors can easily generate noise instead of insights. As infrastructure sc
Securely Managing Secrets in Datadog Agent: Standalone and Kubernetes Deployments
By Nicolas Narbais
Keeping API keys, passwords, and other credentials out of plaintext configuration is essential for security. The Datadog Agent provides a secrets management mec
How to Migrate a Datadog Organization: A Step-by-Step Guide Org Migration
By Nicolas Narbais
Migrating a Datadog organization is a complex but necessary process when consolidating accounts, restructuring teams, or implementing new security and complianc
Monitoring AWS Lambda with Datadog: A Comprehensive Guide
By Nicolas Narbais
AWS is a leading cloud provider, and one of its key offerings is its serverless computing stack, which allows users to deploy applications without worrying abou
Datadog Cloud Integration: Setup and Cost Optimization
By Nicolas Narbais
To achieve a comprehensive monitoring setup for your infrastructure, it’s essential to integrate cloud provider data into Datadog. Datadog supports integrations
Correlation the foundation of good Observability
By Nicolas Narbais
Why Data Correlation Matters in Crisis Management In times of crisis, your ability to quickly connect the dots between various data points can be the differenc
Single vs Multi Org Structure: A Decision Making Guide
By Nicolas Narbais
For large enterprises starting their journey with Datadog, a fundamental question often emerges: How should you structure your monitoring solution? Specifically
Taming Datadog Metrics: A Simple Way to Optimize Your Metrics Costs
By Nicolas Narbais
In today’s cloud-native environments, observability is crucial. Services like Datadog give us the power to monitor and analyze a wide array of metrics, ensuring
Seamless Datadog Agent Upgrades
By Nicolas Narbais
Ensuring your software remains up-to-date is essential to avoid creating legacy systems and to leverage the most recent features and…
Datadog Metrics: The Core Concepts for Success
By Nicolas Narbais
Metrics serve as a cornerstone of observability, providing invaluable insights into the performance and health of systems, applications…
Achieving Observability Excellence: Key Central Responsibilities
By Nicolas Narbais
Also published here and through LinkedIn
Datadog Event Platform by example
By Nicolas Narbais
The Datadog event platform offers extensive insights to users regarding specific system changes. Before going further, compared to logs…
Observability at Scale: The strengths of Metrics, Logs, and APM
By Nicolas Narbais
In the dynamic landscape of modern technology, Observability stands tall, fortified by a multitude of pillars designed to empower…
Effective Datadog Archiving to Maximize Log Value
By Nicolas Narbais
In the quest to strike the perfect balance between log value and cost efficiency, archiving emerges as a pivotal component, instilling…
Datadog Dashboards: Dive into Masterful Dashboard Design
By Nicolas Narbais
Dashboarding and data visualization may seem deceptively simple initially, requiring no specialized training, especially when utilizing…
The essential role of Datadog TAMs in maximizing your observability investment
By Nicolas Narbais
Have you ever wondered what a Technical Account Manager (TAM) does? The role and responsibilities of a TAM, as well as the pricing model…
How to monitor Wordpress with Datadog
By Nicolas Narbais
Welcome to the world of web domination, where WordPress stands as one of the web’s driving forces. While there’s a plethora of hosting…