Datadog Kubernetes Autoscaling
Learn how you can rapidly optimize your Kubernetes clusters.#shorts.
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Monitor your multi-cloud costs with Cloud Cost Management and FOCUS
Monitoring cloud costs can be complex. When those costs span more than one cloud service provider (CSP) or SaaS provider, that complexity can make it difficult to understand your overall spending. Datadog Cloud Cost Management (CCM) enables teams to understand cloud costs, but each provider tags its cost data differently. Teams need to understand each provider’s unique cost data model before they can make sense of their costs in each cloud.
Monitor your Google Gemini apps with Datadog LLM Observability
Google’s comprehensive AI offering includes Vertex AI, a cloud-based platform for building and deploying AI applications, AI Studio, a web platform for quickly prototyping and testing AI applications, and Gemini, their multimodal model. Gemini offers advanced capabilities in image, code, and text generation and can be used to implement chatbot assistants, perform complex data analysis, generate design assets, and more.
Track AI Costs with Datadog Cloud Cost Management for OpenAI! Learn More on TMiDD! #AI #CloudCost
On This Month in Datadog, we’re spotlighting Datadog Cloud Cost Management for OpenAI, which enables you to break down costs by project and organization, as well as by individual model and their token consumption.
How to support a growing Kubernetes cluster with a small etcd
Etcd plays a critical role in your Kubernetes setup: it stores the ever-changing state of your cluster and its objects, and the API server uses this data to manage cluster resources. As your applications thrive and your Kubernetes clusters see more traffic, etcd handles an increasing amount of data. But etcd’s storage space is limited: the recommended maximum is 8 GiB, and a large and dynamic cluster can easily generate enough data to reach that limit.
Monitor your Pinecone vector databases with Datadog
Pinecone is a vector database that helps users build and deploy generative AI applications at scale. Whether using its serverless architecture or a hosted model, Pinecone allows users to store, search, and retrieve the most meaningful information from their company data with each query, sending only the necessary context to Large Language Models (LLMs). By providing the ability to search and retrieve contextual data, Pinecone enables you to reduce LLM hallucinations and enhance data security.
Best practices for monitoring event-driven architectures
Microservices architectures empower individual teams to choose their own programming language, tools, and technologies, resulting in more independence and the ability to develop and release features faster. While there are various types of integration patterns that can facilitate microservice communication, many organizations choose to adopt event-driven architectures (EDAs) because of their scalability, agility, and resilience.
re:Invent Recap Livestream: 2024
Did you miss this year’s re:Invent? Or maybe you were onsite but too busy deep diving on certifications, new products, and networking. Don’t worry—the Datadog team is streaming right to your home on December 17 to recap all of the highlights from the event. Join Andrew Krug from Datadog’s Technical Community along with a host of AWS guests to hear about exciting announcements from AWS re:Invent 2024, Datadog’s latest product launches, and a rundown of the best on-demand sessions that you’ll want to make sure to tune into.
This Month in Datadog: Monitor OpenAI costs, Kubernetes Active Remediation, IaC Security, 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. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog Cloud Cost Management for OpenAI.
This Month in Datadog - December 2024
On the December episode of This Month in Datadog, Jeremy Garcia (VP of Technical Community and Open Source) covers Kubernetes Active Remediation, Datadog IaC Security, and a trio of new features for monitoring AWS resources. Later in the episode, Natasha Goel (Product Manager) spotlights Datadog Cloud Cost Management for OpenAI. Also featured is a short recap of Datadog at KubeCon North America and AWS re:Invent 2024.