Operations | Monitoring | ITSM | DevOps | Cloud

Create browser tests directly from Datadog RUM Session Replay

Testing is a key part of application development and helps you maintain a reliable experience for your users. But the process can be difficult to scale and is often siloed to a single team or individual that does not have broad knowledge of your application’s UI. This can lead to organizations investing in sizable test suites that do not accurately represent real user behavior.

Leverage user context to debug mobile performance issues with the Instabug Datadog Marketplace offering

As user expectations for mobile apps increase, effective bug remediation involves not only addressing critical incidents as they occur but also proactively handling smaller performance issues in order to ensure a smooth user experience (UX). Instabug helps you understand how users experience your app with crucial mobile performance metrics—such as launch metrics, loading times, and UI hangs—viewable alongside your bug reports.

Monitor Google Cloud Vertex AI with Datadog

Vertex AI is Google’s platform offering AI and machine learning computing as a service—enabling users to train and deploy machine learning (ML) models and AI applications in the cloud. In June 2023, Google added generative AI support to Vertex AI, so users can test, tune, and deploy Google’s large language models (LLMs) for use in their applications.

This Month in Datadog: DASH 2023 Recap, featuring Bits AI, Single-Step APM Instrumentation, and more

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. This month, we’re recapping DASH 2023..

Datadog On Mobile Software Development

Understanding the health and user experience of your mobile application is critical in order to avoid user frustration, understand application crashes, and reduce bugs mean time to resolution. To help with that task, Datadog has a mobile monitoring solution that allows developers to better understand and improve their application. But what are the things to take into account when building observability mobile SDKs? How can we gather the right telemetry without affecting the underlying application?

Visualize service ownership and application boundaries in the Service Map

The complexity of microservice architectures can make it hard to determine where an application’s dependencies begin and end and who manages which ones. This can pose a variety of challenges both in the course of day-to-day operations and during incidents. Lacking a clear picture of the ownership and interplay of your services can impede accountability and cause application development, incident investigations, and onboarding processes to become prolonged and haphazard.

Generative AI and Observability Automation - Sajid Mehmood & Michael Gerstenhaber

One of the biggest challenges in observability is separating the signal from the noise. As artificial intelligence (AI) tools become more powerful and accessible, it has generated a lot of buzz around the role of AI with respect to the performance and reliability of our technical systems and the teams that build and operate them. In this fireside chat, Michael Gertenhaber (Datadog VP of Product) and Sajid Mehmood (Datadog VP of Engineering) will sift through the hype to chat about what generative AI and Large Language Models (LLMs) will really mean for the future of observability and how it can benefit your teams today.

Right Size, Right Performance, Right Time

It’s been said that, “premature optimization is the root of all evil.” Contrarily, many engineers have also had to work with software riddled with so much technical debt and inefficiency that optimization is practically impossible and a complete rewrite is required. So when is the right time? In this panel session, we’ll talk with engineering leaders and architects about their approach to software optimization, when to do it, and how to design systems that scale and stay performant.