Tag: datadog
GitHub API Abuse, ‘Ghost’ Accounts Part of Malicious Efforts to Map Organizations
Jeff Burt | | Cofense, Data Exfiltration, data mapping, data scraping, datadog, Fortran, GitHub API, GitHub ghost accounts, gitlab, GraphQL, personal tokens, REST APIsDatadog researchers uncover months-long overlapping campaigns to scrape data about companies and their developers ...
Building a Simple Event-Driven Application with Datadog Workflows
Back in October 2022, I wrote a short blog post explaining how I automated our Datadog Marketplace sales cycle using a few AWS services and my first-ever Golang program. That basic, event-driven ...
Datadog Leverages AI to Extend Observability Reach Deeper into DevOps Workflows
Datadog this week significantly extended the reach of its Bits artificial intelligence (AI) framework to enable DevOps teams to automatically discover and resolve issues based on the telemetry data collected by its ...
A Modern Approach to Multi-Signal Optimization
Nikhil Kurup | | application performance monitoring, ArgoCD, CI/CD observability, cloud cost optimization, cloud operations, cloud waste reduction, cloud-native operations, CloudNativeCon Atlanta, datadog, devops automation, grafana, incident response, KubeCon 2025, Kubernetes monitoring, metric classification, MTTR reduction, multi-signal optimization, observability, p99 latency, pod CPU metrics, predictive monitoring, proactive observability, Prometheus, root cause analysis, signal correlation, signal hierarchy, SRE best practices, telemetry correlationHow multi-signal optimization and metric classification help DevOps and turn telemetry chaos into actionable intelligence ...
Datadog Adds Raft of Additional AI Agents and Tools to Portfolio
Datadog at its DASH 2025 conference today previewed a raft of artificial intelligence (AI) agents that automate tasks ranging from assessing infrastructure alerts that normally require the expertise of a site reliability ...
Bridging the Gap: Datadog App Builder & Private Infrastructure
Datadog's App Builder is a game-changer, extending the platform beyond observability to empower users to build custom applications ...
Datadog Extends Scope and Reach of Observability Platform
Datadog at its DASH 2024 conference added a bevy of tools and capabilities to streamline DevSecOps workflows, including integration with open-source OpenTelemetry agent software developed under the auspices of the Cloud Native ...
Datadog DevSecOps Report Shines Spotlight on Java Security Issues
Datadog today published a State of DevSecOps report that finds 90% of Java services running in a production environment are vulnerable to one or more critical or high severity vulnerabilities introduced by ...
Datadog Updates Aim to Improve Logging, Testing Efficiency
Datadog's new Flex Logs and Intelligent Test Runner are aimed at improving logging and testing efficiency for engineering teams ...
Datadog Adds Additional Generative AI Capabilities to Platform
Datadog Bits uses generative AI to provide real-time recommendations to resolve issues surfaced by the company’s observability platform ...
Datadog Dives Into Universal Service Monitoring
Mike Vizard | | application monitoring, datadog, DevOps metrics, IT observability, universal monitoringDatadog, Inc. today made generally available a Universal Service Monitoring service that takes advantage of the extended Berkeley Packet Filtering (eBPF) microkernel in a Linux operating system to automatically detect all the ...
Datadog Extends Reach of Integrated DevOps Platform
Mike Vizard | | cloud cost management, cloud security posture management, datadog, DevOps metrics, IT observabilityAt its Dash 2022 conference, Datadog announced today it is extending the reach of its namesake cloud-delivered monitoring and observability platform to address continuous testing, application security and cost management. In addition, ...
