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By Kayla Taylor
We recently released our initial State of Cloud Costs report, which identified factors shaping the costs of hundreds of organizations that use Datadog Cloud Cost Management to monitor their AWS spend. The report reveals several widely applicable themes, including the ways in which resource utilization, adoption of emerging technologies, and participation in commitment-based discount programs all shape cloud environments and costs.
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By Bowen Chen
Oracle Cloud Infrastructure (OCI) provides cloud infrastructure and platform services designed to support a broad spectrum of cloud strategies and workloads. OCI provides enterprise customers with scale-up resource scaling architectures, ultra-low-latency networks, and more to help them migrate legacy workloads to the cloud, while supporting cloud-native applications via an expansive network of cloud partners and services.
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By Brittany Coppola
Twilio is a customer engagement platform that helps organizations build communication features to meaningfully interact with customers on the channels they prefer. Twilio consists of a set of APIs for integrating communication tools such as voice, SMS, chat, video, and email into applications. Datadog’s Twilio integration collects a wide variety of logs to allow you to analyze performance issues and detect security threats across all of your Twilio resources.
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By James Frullo
While building our Service Level Objectives (SLO) product, our team at Datadog often needs to consider how error budget and burn rate work in practice. Although error budgets and burn rates are discussed in foundational sources such as Google’s Site Reliability Workbook, for many these terms remain ambiguous. Is an error budget a static quantity or a varying percentage? Does burn rate indicate how fast I’m spending a fixed quantity, or is it just another way to express error rate?
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By Candace Shamieh
Many organizations use Oracle databases for their ability to be deployed anywhere, embedded security features, robust data analysis capabilities, and scalability. But manually managing Oracle databases can be impractical, requiring constant attention to optimize performance.
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By Monica Gavirangaswa
As organizations begin developing generative artificial intelligence (GenAI) applications, observability challenges could hinder their progress. Few robust monitoring tools for GenAI applications are available, which makes identifying and resolving issues in these applications time-consuming and error-prone.
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By Amit Agarwal
We are thrilled to announce that, for the fourth consecutive year, Datadog has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. We believe that this placement reflects Datadog’s continued commitment to solving our customers’ most sophisticated challenges and building products that provide unmatched visibility into the performance, security, and cost of their traditional, cloud-based, or hybrid tech stack—from code to production.
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By Thomas Sobolik
Microsoft Fabric is Microsoft’s new platform for all things data analytics—integrating key Azure data analysis products like Azure Data Factory, Azure Synapse, and Power BI into a unified platform. Fabric is intended to provide a one-stop shop where users with various levels of expertise across an organization can perform data analysis and collect insights.
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By Shri Subramanian
Anthropic is an AI research and development company focused on building reliable and safe artificial intelligence systems. Their flagship product is Claude, an advanced language model and conversational AI assistant known for its strong capabilities in natural language processing, reasoning, and task completion. Anthropic places a particular emphasis on AI safety and ethics, and its models and APIs are used by organizations across various industries to build powerful, safe, and performant AI applications.
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By Thomas Sobolik
ServiceNow is a popular IT service management platform that helps organizations track and manage enterprise-level IT processes, such as on-prem infrastructure management, customer support, and incident response. By using ServiceNow’s configuration management database (CMDB), organizations can easily centralize and manage information about all the IT objects they own in order to track and maintain them more efficiently.
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By Datadog
At Datadog’s 2024 DASH conference, Anthropic President and Co-Founder, Daniela Amodei, announced the new Anthropic integration with Datadog’s LLM Observability. This new native integration offers joint customers robust monitoring capabilities and suite of evaluations that assess the quality and safety of LLM applications. Get real time insights into performance and usage, with full visibility into the end to end LLM trace. Enabling you to troubleshoot any issues, reduce downtime and get your Claude powered applications to market faster.
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By Datadog
Global financial services institutions monitor the health, security, and performance of their most business-critical systems with Datadog’s unified observability platform.
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By Datadog
Datadog provides real-time visibility and actionable insights into hybrid and multi-cloud environments, helping complex organizations streamline incident management, reduce costs, and maximize uptime in a single, unified platform.
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By Datadog
Whether you’re building a cloud architecture from scratch, documenting your current environment, or looking to optimize cloud cost, Cloudcraft allows you to visualize and communicate your architecture with ease.
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By Datadog
Datadog Container Monitoring gives you real-time, end-to-end visibility into the health, security, and resource usage of your containerized environments. In this demo, we’ll show you how Datadog measures container health alongside security posture and resource utilization, offering end-to-end monitoring and optimization for your container ecosystem.
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By Datadog
AI is hot, but it seems that many companies are haphazardly slapping AI onto their products. Often, these new AI-enabled tools seem more like a solution in search of a problem than a useful product. So how should we be incorporating AI to truly benefit our customers?
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By Datadog
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. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we’re recapping our flagship conference, DASH.
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By Datadog
Learn how to monitor your AWS infrastructure with Datadog and HCP Terraform in our interactive lab. Gain hands-on experience with configuring monitoring and managing your infrastructure as code!
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By Datadog
As Docker adoption continues to rise, many organizations have turned to orchestration platforms like ECS and Kubernetes to manage large numbers of ephemeral containers. Thousands of companies use Datadog to monitor millions of containers, which enables us to identify trends in real-world orchestration usage. We're excited to share 8 key findings of our research.
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By Datadog
The elasticity and nearly infinite scalability of the cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived VMs or containers. This has elevated the need for new methods and new tools for monitoring. In this eBook, we outline an effective framework for monitoring modern infrastructure and applications, however large or dynamic they may be.
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By Datadog
Where does Docker adoption currently stand and how has it changed? With thousands of companies using Datadog to track their infrastructure, we can see software trends emerging in real time. We're excited to share what we can see about true Docker adoption.
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By Datadog
Build an effective framework for monitoring AWS infrastructure and applications, however large or dynamic they may be. The elasticity and nearly infinite scalability of the AWS cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived components. This has elevated the need for new methods and new tools for monitoring.
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By Datadog
Like a car, Elasticsearch was designed to allow you to get up and running quickly, without having to understand all of its inner workings. However, it's only a matter of time before you run into engine trouble here or there. This guide explains how to address five common Elasticsearch challenges.
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By Datadog
Monitoring Kubernetes requires you to rethink your monitoring strategies, especially if you are used to monitoring traditional hosts such as VMs or physical machines. This guide prepares you to effectively approach Kubernetes monitoring in light of its significant operational differences.
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Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
See it all in one place:
- See across systems, apps, and services: With turn-key integrations, Datadog seamlessly aggregates metrics and events across the full devops stack.
- Get full visibility into modern applications: Monitor, troubleshoot, and optimize application performance.
- Analyze and explore log data in context: Quickly search, filter, and analyze your logs for troubleshooting and open-ended exploration of your data.
- Build real-time interactive dashboards: More than summary dashboards, Datadog offers all high-resolution metrics and events for manipulation and graphing.
- Get alerted on critical issues: Datadog notifies you of performance problems, whether they affect a single host or a massive cluster.
Modern monitoring & analytics. See inside any stack, any app, at any scale, anywhere.