Operations | Monitoring | ITSM | DevOps | Cloud

How Technology Is Transforming the Surrogacy Journey

In an era characterized by innovation, technology is playing a pivotal role in reshaping various facets of our lives, including the journey of surrogacy. Traditionally, surrogacy involved a complex series of steps, from medical examinations to legal contracts. However, with the advent of cutting-edge technologies, this journey is becoming more streamlined, accessible, and effective for all parties involved.
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Hidden Risks in Linux Power Monitoring - And How to Fix Them

In today's enterprise IT landscape, Linux on IBM Power Systems plays a crucial role in powering mission-critical workloads. Industries such as finance, healthcare, telecommunications, and manufacturing rely on IBM Power's scalability, performance, and security to handle large-scale data processing, AI-driven analytics, and high-performance computing. As these environments continue to evolve, ensuring peak system performance and reliability is more important than ever.
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Six Lessons from Production gRPC

In the half-decade since gRPC became part of our production ecosystem, we've encountered a range of challenges and discovered a few hidden pitfalls that can trip up even the most experienced teams. Below, we'll walk through some of the core lessons learned, with tips, best practices, and examples drawn straight from the trenches.

What is AIOps? Use cases, benefits, and getting started

According to a recent survey by Enterprise Management Associates, IT outages can cost large enterprises more than $1.5 million per hour. AIOps offers a solution. With an effective AIOps platform in place, enterprises can decrease the frequency and cost of outages by 30% and reduce their duration to under an hour. AIOps means artificial intelligence for IT operations.

The True Cost Of Cloud Computing Explained

It came as a pleasant surprise. CloudZero recently discovered over $1.7 million in annualized savings. And, all from our own infrastructure. Otherwise, we would have spent $1.7 million on cloud resources we didn’t actually need. Cloud savings stories like this are common with CloudZero customers, and we often find companies spending more than they should in the cloud. If your team is also struggling with managing and controlling the cost of cloud computing, then this guide is for you!

Turning Network Telemetry into Network Intelligence

By applying data engineering and machine learning to raw network telemetry, it’s possible to surface insights that would otherwise go unnoticed. Learn how this approach helps teams detect anomalies in real time, forecast capacity needs, and automate responses across complex, multi-domain environments.

What Are Cloud Egress Fees and How To Avoid Them

Managing a self-hosted cloud infrastructure can be a complex and demanding task, which is why we pay for the privilege of companies to do this for us. Thanks to the range of options we have available, we can no move our data from the cloud quickly and easily, but there is one potential boundary of this, egress fees. Egress fees are what you have to pay to move your data from out the your cloud provider to another data center.

How we use RUM to make design decisions that enhance user experience

Before we started using Datadog Real User Monitoring (RUM), we relied on frontend logging to gather data about the user experience. Logs gave us some helpful information about exceptions and errors but didn't provide any insight into issues directly related to the user’s perspective.

Monitoring AI Proxies to optimize performance and costs

Businesses deploying LLM workloads increasingly rely on LLM proxies (also known as LLM gateways) to simplify model integration and governance. Proxies provide a centralized interface across LLM providers, govern model access and usage, and apply compliance safeguards for smoother operations and reduced complexity—making LLM usage more consistent and scalable.

Introducing the Datadog Developer Hub

Finding the right integrations, libraries, and open source tooling to extend a product has long been a challenge for developers. While Datadog has a vast offering of monitoring and observability solutions, many teams need to customize their setup in some way—whether by extending the Datadog Agent, integrating with third-party services, or using SDKs to interact with the Datadog API.