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Datadog

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Optimize and troubleshoot cloud storage at scale with Storage Monitoring

Dec 4, 2024 By Mahashree Rajendran In Datadog
Organizations today rely on cloud object storage to power diverse workloads, from data analytics and machine learning pipelines to content delivery platforms. But as data volumes explode and storage patterns become more complex, teams often struggle to understand and proactively optimize their storage utilization. When issues arise—such as unexpected costs or performance bottlenecks—these teams frequently lack the visibility needed to quickly identify and resolve root causes.
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Gain comprehensive visibility into your ECS applications with the ECS Explorer

Dec 3, 2024 By Danny Driscoll In Datadog
Amazon Elastic Container Service (ECS) is a container orchestration service that enables you to efficiently deploy new applications or modernize existing ones by migrating them to a containerized environment. Building on ECS gives you the flexibility, scalability, and security that containers offer, but also presents challenges in monitoring and troubleshooting your applications and infrastructure.
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Introducing Datadog's Next-Generation Rust-based Lambda Extension

Dec 3, 2024 By Jordan Obey In Datadog
In 2021, we announced the release of the Datadog Lambda extension, a simplified, cost-effective way for customers to collect monitoring data from their AWS Lambda functions. This extension was a specialized build of our main Datadog Agent designed to monitor Lambda executions.
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State of Cloud Costs

Dec 3, 2024 By Datadog In Datadog
Cloud spending continues to grow, but managing costs effectively remains a challenge for many organizations. In this video, Datadog Senior Product Manager Kayla Taylor dives into our recent State of Cloud Costs report—which analyzed AWS cloud cost data from hundreds of organizations—to understand the key factors driving cloud expenses. We explore the impact of adopting emerging compute technologies like Arm-based processors, GPUs, and AI capabilities, how usage patterns and previous-generation technologies affect cloud costs, and the role of AWS discount programs in cost management.
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Monitor AWS Trainium and AWS Inferentia with Datadog for holistic visibility into ML infrastructure

Dec 3, 2024 By Anjali Thatte In Datadog
AWS Inferentia and AWS Trainium are purpose-built AI chips that—with the AWS Neuron SDK—are used to build and deploy generative AI models. As models increasingly require a larger number of accelerated compute instances, observability plays a critical role in ML operations, empowering users to improve performance, diagnose and fix failures, and optimize resource utilization.
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How Datadog migrated its Kubernetes fleet on AWS to Arm at scale

Dec 2, 2024 By Matthieu Jaillais In Datadog
Over the past few years, Arm has surged to the forefront of computing. For decades, Arm processors were mainly associated with a handful of specific use cases, such as smartphones, IoT devices, and the Raspberry Pi. But the introduction of AWS Graviton2 in 2019 and the adoption of Arm-based hardware platforms by Apple and others helped bring about a dramatic shift, and Arm is now the most widely used processor architecture in the world.
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Achieve total app visibility in minutes with Single Step Instrumentation

Dec 2, 2024 By Evan Pandya In Datadog
Datadog APM and distributed tracing provide teams with an end-to-end view of requests across services, uncovering dependencies and performance bottlenecks to enable real-time troubleshooting and optimization. However, traditional manual instrumentation, while customizable, is often time consuming, error prone, and resource intensive, requiring developers to configure each service individually and closely collaborate with SRE teams.
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Monitor your OpenAI LLM spend with cost insights from Datadog

Dec 2, 2024 By Thomas Sobolik In Datadog
Managing LLM provider costs has become a chief concern for organizations building and deploying custom applications that consume services like OpenAI. These applications often rely on multiple backend LLM calls to handle a single initial prompt, leading to rapid token consumption—and consequently, rising costs. But shortening prompts or chunking documents to reduce token consumption can be difficult and introduce performance trade-offs, including an increased risk of hallucinations.
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Secure your cloud environment from end to end with Datadog Infrastructure-as-Code Security

Dec 2, 2024 By Cliff Kim In Datadog
Infrastructure-as-code (IaC) tools like Terraform and CloudFormation allow teams to define, manage, and provision their cloud infrastructure using code, as opposed to clicking through consoles or executing commands via a CLI. IaC adoption is now widespread and helps teams increase productivity and efficiency, but it also introduces new surface area for mistakes, defects, and other risks.
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Build Datadog workflows and apps in minutes with our AI assistant

Nov 26, 2024 By Amber Tunnell In Datadog
Datadog is a central hub of information—enabling you to see logs, traces, and metrics from across your stack and providing a centralized source of notifications about potential issues. However, when Datadog notifies you of an issue, you often need to log in to other applications to fully assess and resolve it, which slows down mitigation.
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