- Eventdash.datadoghq.com
The future ofAIobservabilitystarts here
Datadog announced DASH 2026, its annual conference on June 8–10, highlighting AI-powered observability and security with hands-on workshops, 100+ breakout sessions, and partner showcases. The event ta…
- Pricingdatadoghq.com
Pricing change detected for Datadoghq
Pricing updated for Datadoghq: - New tier: Infrastructure - Free ($0/ye) - New tier: Infrastructure - Pro ($18/ye) - New tier: Infrastructure - Enterprise ($27/ye) - New tier: DevSecOps - Pro ($27/ye)…
- Pricingdatadoghq.com
Pricing discovered for Datadoghq
Pricing updated for Datadoghq: - New tier: Code Coverage ($12/ye) - New tier: Log Management - Ingest ($0.10/ye) - New tier: Log Management - Standard Indexing (Custom pricing) - New tier: Log Managem…
- datadoghq.com
Configuring JavaScript caches for better performance
Caching is a critical performance optimization for modern JavaScript applications, directly impacting Core Web Vitals, search visibility, and user experience. This article from Datadog explains how to…
- Featuredatadoghq.com
Explore Kubernetes with native OpenTelemetry data
Datadog has announced a Preview of native OpenTelemetry (OTel) support in its Kubernetes Explorer, addressing a critical pain point for teams using OTel in Kubernetes environments. Previously, observa…
- Launchdatadoghq.com
Introducing Bits AI Dev Agent for Code Security
Datadog has introduced Bits AI Dev Agent for Code Security, an AI-powered tool integrated into its Code Security platform to automate vulnerability remediation. The agent generates fixes for identifie…
- Contentdatadoghq.com
Analyzing round trip query latency
Datadog has introduced a method to analyze roundtrip query latency by correlating Application Performance Monitoring (APM) and Database Monitoring data. This approach enables users to identify perform…
- Integrationdatadoghq.com
Monitor Nutanix clusters, hosts, and VMs with Datadog
Datadog has introduced a new integration with Nutanix, enabling users to monitor infrastructure health and capacity while correlating performance changes with Prism Central activity. This integration …
- Securitydatadoghq.com
Datadog achieves ISO 42001 certification for responsible AI
Datadog has achieved ISO 42001 certification, a globally recognized standard for AI management systems. This certification provides third-party assurance of Datadog’s controls and processes related to…
- Integrationdatadoghq.com
Monitor Juniper Mist in Datadog
Datadog has introduced a new integration with Juniper Mist, enabling users to monitor device health, analyze link performance, and track network throughput through a unified platform. This integration…
- Featuredatadoghq.com
A new Host Map for modern infrastructure
Datadog has introduced a revamped Host Map feature that provides a real-time, hierarchical visualization of infrastructure components, including hosts, clusters, pods, and containers. This update enab…
- Featuredatadoghq.com
What's new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations
Learn about the latest additions to Cloud SIEM and how they can help you strengthen security engineering and operations.
- Integrationdatadoghq.com
Monitor Oracle Fusion Cloud Applications with Datadog
Datadog has introduced a new integration for Oracle Fusion Cloud Applications, enabling users to monitor ESS (Enterprise Scheduler Service) job performance, track end-to-end data flows, and analyze us…
- Featuredatadoghq.com
Annotate traces to improve LLM quality with Datadog LLM Observability
Datadog introduces a new capability to automate the routing of production traces, enabling consistent labeling and the use of annotations in a repeatable loop for quality improvement. This feature all…
- Featuredatadoghq.com
Announcing the Datadog Terraform provider v4.0.0
Datadog has released version 4 of its Terraform provider, introducing significant improvements to monitor governance, AWS integrations, and application key security. The update enhances infrastructure…
- Contentdatadoghq.com
How to design cloud environments for AI-powered threat analysis
The article discusses the importance of AI-powered threat analysis in cloud environments, emphasizing its role in enhancing security measures. It highlights how traditional security methods struggle t…
- datadoghq.com
Scaling Kubernetes workloads on custom metrics
The article discusses the limitations of relying solely on CPU and memory metrics for Kubernetes workloads, which often fail to reflect actual demand. It introduces custom metrics as a solution to bet…
- Contentdatadoghq.com
Cloud-Scale Monitoring,Minus the Complexity
The webpage promotes Datadog’s monitoring platform, emphasizing its broad capabilities across infrastructure, applications, logs, security, and AI. It highlights over 1,000 pre-built integrations, ena…
- Integrationdatadoghq.com
Monitor Aruba Central in Datadog
Datadog has introduced a new integration with Aruba Central, enabling users to monitor device health, analyze network throughput, and track application usage through a unified platform. This integrati…
- Contentdatadoghq.com
How we centralize and remediate risks with Datadog Case Management
Learn how the Datadog Risk team uses Case Management, Workflow Automation, and LLM Observability to prioritize and remediate risks faster at Datadog.
- Contentdatadoghq.com
Monitor your application and network load balancer logs
Logs from application and network load balancers provide critical visibility into distributed systems for SREs, security teams, and more. Learn how to analyze them and monitor key patterns effectively…
- datadoghq.com
Accelerate incident response with Datadog and ServiceNow
Datadog integrates with ServiceNow to accelerate your incident response without creating parallel processes.
- Featuredatadoghq.com
Sensitive Data Scanner
Datadog has introduced the Sensitive Data Scanner, a tool designed to help organizations build a comprehensive data security and compliance strategy. This feature allows users to classify sensitive da…
- Featuredatadoghq.com
DORA Metrics
Datadog has introduced a new feature to capture DORA metrics without requiring additional instrumentation. This feature aims to help users identify and eliminate bottlenecks in their delivery workflow…
- datadoghq.com
Press releases
The provided content does not contain any specific article or news to summarize. It appears to be a static page with links to various resources such as press releases, media coverage, and analyst repo…
- Featuredocs.datadoghq.com
Datadog Mobile App
The Datadog Mobile app allows users to view alerts and investigate issues on their mobile devices. It supports standard, Google, and SAML authentication, with options for QR code or manual entry for l…
- datadoghq.com
Runtime Code Analysis (IAST)
Datadog has introduced a new feature called Code Security, which focuses on detecting vulnerabilities in production code and prioritizing critical vulnerabilities with observability context. This feat…
- datadoghq.com
Understanding Karpenter architecture for Kubernetes autoscaling
The article explains the architecture of Karpenter, a tool for provisioning and consolidating cluster capacity in Kubernetes. It introduces key concepts such as NodePools, NodeClasses, and NodeClaims,…
- datadoghq.com
What your product data is actually saying
The article discusses best practices for extracting meaningful insights from product analytics data to aid in decision-making. It emphasizes the importance of understanding and utilizing product data …
- Featuredatadoghq.com
Monitor Karpenter with Datadog
Datadog has introduced a new capability to monitor Karpenter, a dynamic node provisioning project for Kubernetes. This feature allows users to visualize and alert on Karpenter's health and performance…
- datadoghq.com
Tools for collecting metrics and logs from Karpenter
The article provides vendor-agnostic methods to monitor Karpenter, focusing on kubectl spot-checks, Prometheus/Grafana metrics, and logs that explain scaling and consolidation activity. This change af…
- datadoghq.com
Key metrics for monitoring Karpenter
The article provides a guide to the most critical Karpenter metrics for tracking scheduling latency and cloud provider errors. It focuses on key metrics that help users monitor and optimize their Karp…
- Contentdatadoghq.com
Securing Datadog's platform in the AI age: The role of observability data
Datadog is leveraging observability data to enhance system security and resilience, supporting AI-driven threat analysis. This approach allows the company to proactively identify and mitigate potentia…
- Contentdatadoghq.com
Approaching your observability migration with the right mindset
The article advises treating migration as a redesign rather than a lift and shift. This approach involves rethinking and optimizing the system during the migration process. It affects organizations un…
- Case Studydatadoghq.com
Four ways engineering teams use the Datadog MCP Server to power AI agents
The Datadog MCP Server connects observability data to AI agents, enabling customers to build automated workflows and solve engineering challenges. This integration allows for more efficient and intell…
- datadoghq.com
Meet the new Bits AI SRE: Deeper reasoning, twice as fast
The latest upgrades to Bits AI SRE include stronger reasoning for root cause analysis, expanded data sources, and new triage and remediation actions. These enhancements aim to improve the efficiency a…
- Contentdatadoghq.com
Key learnings from the 2026 State of DevSecOps study
The article discusses the key takeaways from Datadog's 2026 State of DevSecOps study. It highlights how Datadog can assist in implementing these findings. The study likely covers trends, challenges, a…
- Featuredatadoghq.com
Use plain English to query your multi-cloud infrastructure in Resource Catalog
Learn how natural language querying in Datadog Resource Catalog helps you search cloud resources and answer specialized questions without complex syntax.
- Featuredatadoghq.com
Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring
Learn how Datadog Synthetic Monitoring uses Test Suites and AI-powered summaries to trace failures back to their origin and reduce noise.
- datadoghq.com
Protect your OCI resources with Datadog Cloud Security
Learn how you can use Datadog Cloud Security to identify and remediate risks in Oracle Cloud Infrastructure environments.
Datadog 在 2026年3月 发布了 40 项受追踪的更新。 较 2026年2月 增长 82%。 主要主题是 feature updates(11)。 活动主要集中在 2026年3月9日 那一周。 亮点:“Explore Kubernetes with native OpenTelemetry data”(2026年3月29日)。
信号分类：2026年3月
11
feature updates
8
content pieces
4
new integrations
2
pricing updates
1
security incidents
1
events
1
product launches
1
case studies
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