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Focus on code that matters with source code previews in Continuous Profiler

The use of code profiling to troubleshoot application performance can appear daunting to the uninitiated, and many software engineers even assume that this domain is reserved for niche specialists. But here at Datadog, one of the key goals for our Continuous Profiler product has been to take this seemingly intimidating practice of code profiling and make it more accessible to engineers at all levels.

State of Cloud Costs

Organizations face significant challenges in increasing the efficiency of their growing cloud spending, even as the flexibility and variety of available cloud services offer many opportunities for optimization. Cloud environments are complex and dynamic due to the breadth of services and the drive to adopt new technologies, such as Arm-based processors and GPUs that enable AI capabilities.

Monitor AWS Batch on Fargate with Datadog

AWS Batch on Fargate is an AWS offering that combines the benefits of AWS Fargate—a serverless compute engine for deploying and managing containers—with AWS Batch, a fully managed service for running batch workloads. Leveraging a pay-per-use pricing model and automatic scaling, AWS Batch on Fargate provides you with a cost-effective and scalable solution for running batch computing workloads without needing to worry about managing any underlying infrastructure.

Monitor Snowflake Snowpark with Datadog

Snowflake is an AI data cloud platform that breaks down silos within an organization to enable wider collaboration with partners and customers for storing, managing, and analyzing data. With Snowpark and Snowpark Container Services (SPCS), organizations can leverage a set of libraries and execution environments directly in Snowflake to build applications and pipelines with familiar programming languages like Python and Java, all without having to move data across tools or platforms.

Getting started with the Datadog mobile app

The Datadog mobile app can help you make the most of the deep visibility Datadog gives you into your applications and infrastructure. In addition to helping you monitor key metrics, facilitating alerting, and smoothing the way for coordination among teams, the mobile app gives you the resources and context to investigate issues and respond to incidents from anywhere.

How Datadog's Infrastructure team manages internal deployments using the Service Catalog and CI/CD Visibility

Managing the software development lifecycle of your applications is a complex task. Releasing software updates in a large and ever-changing ecosystem requires visibility into the state of your services and insight into how changes to these services impact the reliability, performance, security, and cost of your application. The stages of software delivery are often sharded across multiple tools, each purpose-built for a specific slice of your application lifecycle.

Visualize relationships across your on-premises network with the Device Topology Map

Network engineers need clear visibility into the relationships and dependencies of their network devices so they can quickly troubleshoot when issues arise. But when dealing with the potentially thousands of devices that comprise a modern enterprise network, engineers often need to navigate a complex web of interconnected signals in order to trace the sources and consequences of poor network performance.

Best practices for using DORA metrics to improve software delivery

Software development and delivery requires cross-team collaboration and cross-service orchestration—all while ensuring that organizational standards for quality, security, and compliance are consistently met. Without careful monitoring, you risk a lack of visibility into delivery workflows, making it difficult to evaluate how they impact release velocity and stability, developer experience, and application performance.

Monitor your CI/CD modernizations with Datadog CI Pipeline Visibility

As your organization adopts modern technologies and scales its workloads, it’s critical that your CI/CD environment follows suit to maintain smooth development and testing workflows. Adopting modern CI/CD tools (e.g., pipeline runners and testing frameworks) and best practices can increase the agility and resilience of your CI/CD environment as well as enable your teams to configure new jobs, stages, and tests to meet changing business requirements.

Highlights from Google Cloud Next 2024

Over 30,000 people flocked to Las Vegas to see the latest and greatest from Google Cloud and its partners at Google Cloud Next 2024. As a long-time Google Cloud partner and recipient of two Google Cloud Technology Partner of the Year awards this year, we were there in full force to showcase our unified observability and security solutions and engage with the Google Cloud community.