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Datadog

Monitor Amazon Bedrock with Datadog

Amazon Bedrock is a fully managed service that offers foundation models (FMs) built by leading AI companies, such as AI21 labs, Meta, and Amazon along with other tools for building generative AI applications. After enabling access to validation and training data stored in Amazon S3, customers can fine-tune their FMs to invoke tasks such as text generation, content creation, and chatbot Q&A—without provisioning or managing any infrastructure.

Visualize AWS Step Functions with the State Machine Map

AWS Step Functions allows you to coordinate activity from hundreds of services—including AWS Lambda, Amazon EKS, and Amazon API Gateway—to build and orchestrate serverless workflows. With Step Functions, you organize work into workflows known as state machines, in which each state defines a task or decision and specifies the next state in the workflow.

Monitor the state of your Tailscale private network with Datadog

Tailscale is a modern remote access solution that allows customers to easily scale, segment, and manage a private network as their business grows. It enables encrypted point-to-point connections using the open source WireGuard protocol, so that devices on your private network can only communicate with each other.

Secure and monitor infrastructure networking with Buoyant Enterprise for Linkerd in the Datadog Marketplace

As organizations adopt Kubernetes, they face gaps in security, reliability, and observability such as unencrypted communication, lack of multi-cluster support, and missing reliability features like circuit breaking. Buoyant Cloud is the dashboarding and automated monitoring component of Buoyant Enterprise for Linkerd, which helps organizations secure and monitor communication between Kubernetes workloads.

Centrally govern and remotely manage Datadog Agents at scale with Fleet Automation

As customers scale to thousands of hosts and deploy increasingly complex applications, it can be difficult to ensure that every host is configured to give you the visibility you need to monitor your infrastructure and applications. To ensure visibility across a growing number of hosts, you need to know that your observability strategy is implemented uniformly across your entire fleet of Datadog Agents installed on these hosts.

Chasing the Rainbow: Towards Unified Service Metrics

As Zendesk migrated from a monolithic application to an ecosystem of hundreds of services, its need for fully unified and standardized observability became a chief concern. In this talk, Senior Principal Engineer Daniel Schierbeck shares how adopting a service mesh has helped Zendesk teams manage its growing number of services while standardizing its observability. He also explains how Zendesk’s approach to monitoring service interactions has evolved as it adopted Datadog metrics and Datadog APM.

Datadog acquires Actiondesk

Datadog customers have an abundance of observability data at their fingertips. Using this data effectively requires having the right visualizations and analysis tools. For some teams, the powerful functionality of spreadsheets is critical to their ability to make data-driven forecasting and business decisions. That’s why we are pleased to announce that Actiondesk—a spreadsheet-powered connection to your live data—is joining Datadog.

How Mercado Libre scales its AWS microservices without losing visibility

Learn how Mercado Libre acts more quickly, strategically, and proactively thanks to Datadog’s centralized platform and context-rich alerting.Mercado Libre hosts the largest online commerce and payments ecosystem in Latin America, which means thousands of dollars can be lost if some of their critical applications stop working for even 1 minute. Senior Technical Manager Juliano Martins and software expert Marcelo Quadros share a few reasons why they chose Datadog as their observability platform of choice for their AWS environment: the power of our infrastructure monitoring solution, extensive range of integrations, strong reputation in the market, and more.