Digital Integration
Unified observability for modern cloud stacks: Unleashing team innovation
Introduction
As enterprises pursue development velocity and cloud expansion, they often struggle with fragmented tools, alert fatigue, and “black box” performance issues, posing severe challenges to traditional operations.
As a global leader in cloud observability, Datadog provides a unified platform that integrates over 1,000 tools and services, offering a holistic view across infrastructure monitoring, log management, and APM. By providing a single source of truth for DevOps and security teams, Datadog leverages AI-driven detection to slash mean time to resolution (MTTR) from hours to minutes. This enables businesses to transform monitoring pressure into precise decision-making, ensuring the stability of critical services and unleashing the team’s true potential for innovation.
Supports 1000+ integrations across Kubernetes, Serverless, and multi-cloud. With powerful tag-based search and analytics, teams can effortlessly switch perspectives and manage even the most complex infrastructure environments.
Deploy instantly without tedious configurations or specialized training. Leveraging Watchdog (AIOps) noise-reduction technology, Datadog automatically correlates anomalous events to pinpoint critical issues within massive data volumes, putting an end to alert fatigue.
Monitor business metrics like revenue trends and user conversion rates alongside technical indicators. Leverage Metrics without Limits™ technology to define data aggregation dimensions flexibly and control monitoring budgets precisely, ensuring every investment transforms into high-value business insights.
Track beyond technical metrics to monitor revenue trends and user behavior. Flexibly adjust monitoring depth and costs to ensure every budget dollar is invested in your most valuable data insights.
Get started instantly with a drag-and-drop interface—no complex queries required. Built-in Watchdog AI and Log Patterns automatically identify trends and provide proactive root-cause analysis to resolve risks at scale.
Decouple ingestion from indexing to gain full control over your log retention
strategies. Combined with Flex Logs, teams can cost-effectively manage
high-volume data and rehydrate archives on demand for compliance.
Standardize raw logs from any source into structured data through a unified console. Securely route data to data lakes or third-party SIEMs using a built-in Sensitive Data Scanner and robust log forwarding to simplify workflows and strengthen your data ecosystem.
Correlate logs, metrics, and distributed tracing with one click to transition seamlessly from anomaly detection to code-level diagnosis. Contextual integration eliminates the need to switch between tools, significantly reducing Mean Time to Resolution (MTTR).
Leverage auto-instrumentation to capture code-level metrics automatically without source code changes. For cloud and serverless environments, agentless monitoring significantly reduce maintenance overhead. Teams can collect critical data during rapid deployments and gain comprehensive system insights within minutes.
Defend your stack with 800+ detection rules aligned with MITRE ATT&CK®.
Datadog’s AI-driven SIEM automates threat blocking and ensures PCI/HIPAA compliance with granular RBAC for all sensitive log data.
Dive into the application core with thread-level distributed tracing to observe function and span execution efficiency at the code level. Visualize SQL queries and database interaction performance while seamlessly correlating logs and infrastructure metrics to pinpoint bottlenecks within complex microservices architectures.
Leverage Watchdog AI for automated root-cause analysis and outlier detection to slash MTTR. Automatically detect performance degradation trends and receive proactive alerts before issues impact your end-users.
Monitor the real-time impact of code deployments and configuration changes on system performance. Utilize automated version comparison and error tracking to execute rapid rollbacks and ensure business continuity.
Expedite observability with no-code auto-instrumentation and full support for OpenTelemetry. Achieve maximum visibility with granular sampling controls across any stack, optimizing both performance and costs.
Leverage Bits AI Security Analyst to automatically analyze threat indicators with full investigative context. Streamline triage by filtering out noise, allowing teams to focus on real threats while eliminating alert fatigue.
Combine Risk Scoring and Entity Analytics to identify high-risk activities and prioritize investigations across massive log volumes. The system tracks anomalous behavior paths of specific users, hosts, or services, helping security teams reduce noise and focus on threats with significant business impact.
Support long-term historical data retrospection (based on retention and compliance settings) to facilitate cross-timeline security investigations. Graphical correlation views intuitively visualize threat links between users, hosts, and services, allowing teams to rapidly clarify incident context and blast radius in complex environments.
Accelerate response with built-in SOAR capabilities to automate routine tasks like blocking IPs or resetting passwords. Effortlessly orchestrate remediation workflows and sync cross-team collaboration within one platform.
Analyze actual end-user experiences on browsers and mobile devices by collecting page load times, resource performance, and JavaScript errors. Automatically correlate front-end interactions with back-end APM traces to achieve end-to-end visibility and optimize digital experiences.
Simulate user behavior via global testing nodes to conduct 24/7 proactive API and website availability tests. Support no-code browser test recording and API workflow testing to identify usability issues and third-party service failures before users are affected.
Detect cloud configuration risks and permission anomalies automatically across major international frameworks (e.g., PCI DSS, SOC 2, GDPR). Combine risk scoring with observability context to identify and prioritize high-impact security issues, ensuring compliance while mitigating business risks.
Datadog is more than a monitoring tool, it is an accelerator for risk management and operational efficiency. By freeing technical teams from tedious infrastructure maintenance, Datadog enables them to focus on high-value business innovation.
Unify metrics, logs, and traces on a single platform to enable seamless collaboration across Dev, Ops, and Security. Eliminate information gaps and significantly enhance decision-making efficiency with a single source of truth.
Slash troubleshooting time from hours to minutes with AI-powered correlation analysis. Rapidly pinpoint root causes to maximize system availability and safeguard every critical business transaction.
Shift from reactive to proactive with machine learning that detects anomalous trends. Receive early warnings before performance degrades or systems crash, allowing teams to preempt issues and deliver a stable user experience.
Optimize cloud investment with granular visibility into resource consumption and SKU-based pricing. Ensure every dollar is spent on high-value insights while eliminating the hidden costs of unoptimized infrastructure.
Fully support cloud-native and modern microservices architectures as your technology evolves. Gain a holistic view during large-scale expansions, ensuring that your technology stack consistently empowers business growth.
Datadog adopts a highly flexible, SKU-based pricing architecture, allowing enterprises to subscribe independently to features such as Infrastructure, Logs, APM, RUM (Real User Monitoring), or Security. This granular billing model enables businesses to scale monitoring capabilities alongside growth, allocate budgets precisely, and ensure investment aligns with actual utilized value.
Datadog empowers enterprises to consolidate fragmented metrics, traces, and logs into actionable real-time insights, enabling teams to resolve issues faster and optimize operational efficiency. As Datadog’s service partner, Nextlink leverages expert cloud architects and operations teams to provide tailor-made implementation strategies and granular cost-optimization services. We help enterprises gain a competitive edge in complex cloud environments, ensuring high-efficiency operations and sustainable business growth.
