October 2022 Summaries

The Skykit Digital Signage license is now available in the Datadog Marketplace, offering an intuitive and secure solution for sharing dashboards across various displays. This cloud-based platform eliminates the complexities of sharing passwords or devices while ensuring real-time visibility into infrastructure health and performance. With Beam's content management system, users can easily connect their Datadog dashboards to any number of displays, alternate between different dashboards on a schedule or demand, and maintain control over access and editing permissions. This integration helps organizations maximize the insights gained from monitoring with Datadog by providing tailored visibility for all stakeholders.

Skykit has partnered with Datadog to offer a cloud-based digital signage solution that enables users to securely display their dashboards on any number of displays in real-time, eliminating the need for shared passwords and devices. This partnership provides users with enhanced security and control over who can access and edit their dashboards, as well as the ability to connect their Datadog dashboards to Beam's content management system for digital signage. With this solution, users can display their dashboards in various settings, such as office common areas or dedicated team spaces, to provide stakeholders with secure and tailored visibility into the health and performance of their infrastructure. The Skykit Digital Signage license is now available in the Datadog Marketplace, making it easy for users to access and purchase this solution.

Cloud security has become critical as cloud environments often include resources not managed by the organization but by third-party providers. To mitigate risks, organizations and cloud providers rely on a shared responsibility model to appropriately manage expectations for securing cloud resources. In this five-part series, we will look at how organizations can create a manageable scope for cloud security in key areas such as network boundaries, devices and services that access an organization’s network, access management for all resources, application code, and service and user data. Part 1 focuses on the evolution of network perimeters in modern cloud environments and best practices for securing them. This includes taking inventory of and securing all network entry points, using Zero Trust architecture to restrict access, segmenting networks to control traffic from potentially vulnerable entry points, and getting visibility into all network traffic.

Mallory Mooney introduces the five-part cloud security series that covers protecting an organization's network perimeter, endpoints, application code, sensitive data, and service and user accounts from threats. Cloud-native infrastructure has become the standard for deploying applications that are performant and readily available to a globally distributed user base, but this rapid migration also makes cloud resources a primary target for security threats. Organizations are prioritizing efforts to secure their data, applications, and infrastructure from digital attacks, focusing on implementing controls that protect all cloud-based resources. However, cloud environments often include resources not managed by the organization, making it difficult to determine who is responsible for keeping these resources secure. To mitigate these risks, organizations rely on a shared responsibility model to manage expectations for securing cloud resources. The series will cover how organizations can create a manageable scope for cloud security in areas such as network boundaries, devices and services that access an organization's network, access management for all resources, application code, service and user data, and more. Part 1 of the series looks at the evolution of network perimeters in modern cloud environments and some best practices for securing them.

Organizations are transitioning their infrastructure to the cloud, which brings significant security risks due to increasingly sophisticated cyber attacks and disjointed security tools. Datadog has introduced Cloud Security Management, a unified solution that integrates with existing observability data to provide insights into vulnerabilities and active threats across all mission-critical cloud resources. The platform offers a comprehensive Security Overview Page, Resource Catalog for inventory management, and efficient threat detection through Workload Security Profiles. This collaboration between security teams and DevOps helps organizations identify and mitigate risks in their cloud environment more effectively.

The Payment Card Industry (PCI) Data Security Standard (DSS) mandates rigorous monitoring and data security requirements for cardholder data environments (CDEs). Datadog now offers PCI-compliant Log Management and Application Performance Monitoring (APM), allowing organizations that process cardholder data to rely on Datadog as a PCI Level 1 Service Provider. This centralized solution helps businesses meet PCI compliance, protect against fraud, and simplify monitoring by consolidating logs and APM in one place. Datadog's Audit Trail, Sensitive Data Scanner, and Role-Based Access Control further support governance and compliance efforts.

At Dash 2022, Datadog announced new products and features to enhance observability, collaboration, security, and compliance across cloud environments. These include Cloud Cost Management for clear understanding of cost factors; CoScreen for remote collaboration in real-time; Data Streams Monitoring for pipeline health assessment; and over 70 new integrations with third-party applications. Additionally, Datadog introduced Continuous Testing to enable shift-left testing, Intelligent Test Runner for faster development cycles, and Cloud Security Management for a unified view of security risks across cloud infrastructure. Furthermore, the company expanded its Sensitive Data Scanner to include APM, RUM, and Events stream data, and launched Incident Management, Session Replay, and Continuous Profiling for customers needing visibility into Moderate Impact-level applications and infrastructure.

Datadog introduces Cloud Cost Management to help organizations gain clarity about their cloud spending and foster collaboration among stakeholders. The tool provides deep visibility into cloud costs by automatically tagging cost data with custom AWS Resource tags, allowing teams to allocate costs and identify responsible parties. It also enables quick feedback on how application and infrastructure changes affect cloud costs, helping engineering teams improve the cost efficiency of their services. Additionally, Cloud Cost Management helps establish a culture of cost awareness within organizations, empowering teams to focus on cost optimization alongside performance and reliability.

The text discusses the challenges of managing sensitive data in customer-facing applications as they scale, highlighting the risk of accidental exposure leading to privacy violations or regulatory non-compliance. It introduces Datadog's Sensitive Data Scanner, which continuously scans and detects sensitive information at ingestion time based on out-of-the-box or custom rules. The tool is now available for APM, RUM, and Events, expanding the scope of data that can be monitored for leaks. It provides instructions on configuring Sensitive Data Scanner, removing sensitive data from RUM sessions, obfuscating sensitive data from distributed traces, and extending compliance strategies to cover APM and RUM. The tool is part of Datadog's suite of governance features that include Audit Trail and RBAC controls.

CoScreen is a real-time collaboration tool designed specifically for remote and hybrid engineering teams. It integrates interactive screen sharing and video conferencing features, enabling seamless sharing and interaction with each other's application windows simultaneously. This allows for productive environments in remote pair programming, technical onboarding, incident response, and more. CoScreen meetings can be started easily through built-in integrations with Slack, Google Calendar, and Datadog Incident Management. The tool is particularly useful for software developers as it enables collaborative code review and editing, onboarding new team members, and efficient incident response by sharing relevant dashboards, logs, and more from each participant's environment. CoScreen is generally available now, with its integration with Datadog Incident Management currently in private beta.

The text discusses the importance of continuous testing in application development and how it helps ensure that applications meet user expectations by catching critical issues before release. It highlights Datadog Continuous Testing as an efficient and reliable tool for seamless integration with CI/CD pipelines, enabling developers to spend less time on test configuration and more on feature building. The tool offers features such as easy test creation, self-healing browser tests, automatic test retries, and compatibility with various platforms like GitHub, Azure DevOps, CircleCI, and Terraform. By integrating testing at every stage of the development process, developers can deliver a better user experience upon release while using fewer resources and less maintenance.

Healthcare and life sciences organizations are facing new challenges in adhering to HIPAA regulations as they digitize their operations and automate workflows. Datadog's HIPAA-compliant observability and security solutions help these organizations manage large volumes of patient records across various devices and applications, ensuring the safe and secure handling of data streams. By leveraging logs, healthcare providers can verify their level of compliance with other HIPAA provisions and detect security threats in real time. Datadog's unified platform provides end-to-end visibility into the health, performance, and security of cloud-based healthcare applications to ensure reliability and security for patients. The company is committed to ensuring that sensitive data is handled in a HIPAA-compliant manner and has implemented risk-based security controls and compliance programs to help customers maintain their privacy.

Datadog has announced several new products and features to enable teams to break down information silos, shift testing to the left, monitor cloud and application security, and more. Cloud Cost Management allows stakeholders to analyze cost data alongside infrastructure and application telemetry, while CoScreen enables remote collaboration tools that facilitate efficient, meaningful coworking in real-time. Data Streams Monitoring provides a standardized method for measuring pipeline health and end-to-end latencies for events traversing across systems. The company has also expanded Sensitive Data Scanner to include APM, RUM, and Events stream data, introduced Datadog Incident Management, Session Replay, and Continuous Profiling for customers who need visibility into their Moderate Impact-level applications and infrastructure. Additionally, Datadog has announced new integrations with third-party applications, databases, developer tools, security services, and more. The company's new products and features aim to provide deeper visibility into environments and enable teams to work more efficiently.

Datadog has announced the availability of its PCI-compliant Log Management and Application Performance Monitoring (APM) solution, allowing organizations that process cardholder data to rely on Datadog as a PCI Level 1 Service Provider. This certification provides protection against fraud, quarterly scanning by an Approved Scanning Vendor, File Integrity Monitoring, and credibility through the PCI seal of approval. With Datadog's solution, organizations can centralize their logging and APM, collecting all logs in one place, and spare themselves the expenses and operational headaches of managing multiple monitoring tools. The solution also enables centralized governance and compliance with features like Audit Trail, Sensitive Data Scanner, and Role-Based Access Control.

Datadog's Sensitive Data Scanner is a tool that scans data at ingestion time to detect and scrub sensitive information, reducing the risk of data leaks. It can be configured to monitor various types of sensitive data across different Datadog products, such as logs, APM, RUM, and Events. The scanner provides out-of-the-box rules for detecting common instances of sensitive data and allows custom rule configuration to fit specific application needs. Once enabled, the scanner tags detected sensitive data with relevant information, making it easily searchable and useful for compliance audits and investigations. By leveraging Sensitive Data Scanner, users can remove sensitive data from RUM sessions, obfuscate sensitive data from APM traces, and extend their compliance strategy to cover all services in a single pane of glass.

Datadog is launching Datadog Cloud Security Management, a unified solution that bridges the gap between security teams and DevOps by adding security context to existing observability data. This solution provides a comprehensive view of an organization's infrastructure vulnerabilities and active threats, enabling security teams and DevOps to collaborate on identifying and mitigating risks in real-time. With Datadog Cloud Security Management, organizations can gain visibility into their security health, track misconfigurations, identify active threats, and collaborate on remediation efforts across all mission-critical cloud resources. The solution also provides a resource catalog, workload security profiles, and threat detection capabilities to help organizations efficiently manage their security posture.

Datadog Continuous Testing is a tool that helps ensure the best possible user experience by integrating testing at every stage of the application development process. It provides efficient and reliable testing, allowing developers to spend less time configuring tests and more time building new features. The tool enables easy creation of effective tests with complete user-scenario coverage, ensures reliability and resilience of tests, and integrates seamlessly with various platforms. With its codeless web recorder, Continuous Testing streamlines test creation, reduces human error, and simplifies onboarding for engineers with varying degrees of technical experience. It also allows parallel testing across multiple environments, reuses existing test suites, and leverages cross-browser testing to ensure full user coverage. Additionally, the tool provides self-healing browser tests that adapt to interface changes, automatic test retries to reduce false positives, and integration with various tools such as GitHub, Azure DevOps, CircleCI, and Terraform. By embracing shift-left testing, Continuous Testing enables developers to deliver high-quality applications with fewer resources and less maintenance.

CoScreen is a real-time collaboration tool designed specifically for remote and hybrid engineering teams, integrating interactive screen sharing and video conferencing features. It enables team members to share and interact with each other's application windows simultaneously, facilitating productive environments for remote pair programming, technical onboarding, incident response, and more. CoScreen meetings offer seamless collaborative review and editing of code, effortless onboarding of new team members, and efficient incident response through integrations with Datadog Incident Management. The tool allows developers to remotely share and edit code directly inside each other's IDEs, interact with emulators, view command line output, and more. CoScreen also streamlines onboarding by plugging into new teammates' desktop environments, and facilitates seamless collaboration during incident response through a unified environment. By integrating screen sharing, video conferencing, and collaboration features, CoScreen simplifies the workflow of remote and hybrid engineering teams, saving time and enhancing productivity.

Datadog has introduced Cloud Cost Management to help organizations gain clarity about their cloud costs and usage. This solution allows teams across an organization to have a holistic view of their cloud spending, fostering collaboration and effective decision-making. With Cloud Cost Management, engineers can maximize the cost efficiency of their services by gaining visibility into changes in cloud spending over time. The solution also enables teams to build a culture of cost awareness, establishing accountability for cost efficiency and aligning with existing monitoring practices. By providing granular cost data and flexible dashboards, Datadog's Cloud Cost Management expands an organization's ability to control cloud costs and optimize services.

Datadog Cloud Security offers a comprehensive solution that enhances the ability of organizations to manage and secure their cloud-native infrastructure by integrating security context into existing observability data. This integration allows for seamless collaboration between security teams and DevOps, enabling them to identify, prioritize, and mitigate vulnerabilities and threats more efficiently. The platform provides a unified view of potential risks through a Security Overview Page, which displays active threats and misconfigurations, helping teams quickly identify and address the most vulnerable areas in their infrastructure. Additionally, Datadog Cloud Security includes a Resource Catalog to assess security health and ownership of resources, and features Workload Security Profiles to reduce alert fatigue by distinguishing unusual activity patterns. This innovative approach ensures organizations can focus on legitimate threats, optimizing their security operations and compliance with major frameworks.

The updated GitHub integration by Datadog allows users to pull audit logs and alerts from their GitHub organization into Datadog, where they can visualize, alert on, and analyze them for key insights into organizational GitHub activity. This integration enables monitoring and auditing of GitHub activity across the organization, setting alerts on potential code vulnerabilities, and grouping logs by various facets to gain more insights into GitHub usage. Datadog's enhanced integration also collects code scanning alerts from GitHub, allowing users to create visualizations that show new code vulnerabilities detected compared with previous weeks. The integration can be easily set up for existing Datadog users or through a 14-day free trial.

Datadog has updated its GitHub integration to enable users to analyze and visualize their GitHub audit logs and alerts in a more meaningful way. With this new integration, users can now pull their GitHub audit logs and alerts into Datadog, where they can be visualized, alerted on, and analyzed for key insights into their organization's GitHub activity. This allows users to monitor and audit GitHub activity across their organization, set alerts on potential code vulnerabilities, and gain more insights into their GitHub usage by grouping logs by facets such as repository or event types. The integration also enables users to create visualizations that show the number of new code vulnerabilities detected compared with previous weeks, and route alerts to Slack or Jira for immediate action. Overall, this updated integration provides a powerful tool for organizations to gain deeper insights into their GitHub activity and improve their security posture.

The text discusses the integration of Datadog with Vertica, a machine learning-based data analytics platform that uses parallel processing and column-based data storage for efficient querying. It explains how Vertica stores data in projections, segmented or unsegmented, which are optimized for query efficiency. The K-safety value determines the replication of data across nodes to ensure availability. Monitoring tools like Datadog help track metrics such as node count, storage utilization, memory usage, and log analysis to maintain the health and performance of Vertica infrastructure.

Azure Cosmos DB for PostgreSQL is a fully managed relational database service that enables users to build applications on single- or multi-node clusters. Datadog's out-of-the-box dashboard helps visualize key metrics and logs, while automated monitors track the health and performance of Azure Cosmos DB for PostgreSQL databases. Monitoring resources such as reserved memory utilization, CPU utilization, IOPS, and storage usage can help ensure smooth workload execution without resource bottlenecks. Alerting on resource issues and inspecting logs provide deeper insights into potential problems or misconfigurations. Datadog's integration with Azure Cosmos DB for PostgreSQL offers full visibility into the database stack.

Azure Cosmos DB for PostgreSQL is a fully managed relational database service that provides remote query execution, support for JSON-B, geospatial data, rich indexing, and high-performance scale-out capabilities. It enables users to build applications on single- or multi-node clusters. The service can be monitored using Datadog's out-of-the-box dashboard, which provides key metrics such as reserved memory utilization, CPU utilization, IOPS, and storage usage. Automated monitors can also be set up to track the health and performance of databases, with alert notifications sent when issues are detected. Additionally, logs from Azure Cosmos DB for PostgreSQL can be collected and visualized using Datadog's embedded Azure integration, providing full visibility into the database stack.

Datadog Log Pipelines offers a centralized hub for log management, enabling teams to standardize and route data effectively. The tool can ingest logs from various sources, parse and enrich them with contextual information, generate metrics, and identify log anomalies. Additionally, it provides features like Sensitive Data Scanner, standard attributes, and granular tagging to enforce organization-wide conventions and industry regulations. Datadog Log Pipelines now supports Log Forwarding to custom destinations, allowing users to centralize log processing, enrichment, and routing to accommodate flexible workflows. This feature enables compliance by duplicating logs across locations, facilitates project collaborations with external partners or consultants, and provides flexibility in sending processed logs to customized destinations with ease.

OpenTelemetry is an open source toolset that provides visibility into cloud-native applications by collecting metrics, traces, and logs from various languages and exporting them to a backend of choice. Datadog supports OpenTelemetry and offers the Datadog Exporter for users to maximize its benefits. The latest update allows forwarding logs to Datadog for deep insights into application usage, performance, and security. Additionally, Datadog automatically correlates logs and traces from the OpenTelemetry Collector, enabling better understanding of an application's behavior, faster troubleshooting, and improved user experience optimization.

OpenTelemetry is an open source observability framework that provides tools, APIs, and SDKs to collect and standardize telemetry data from cloud-native applications and services. The key component of OpenTelemetry is the OpenTelemetry Collector, which receives and processes data before using exporters to route it to the destinations of your choice. Datadog has released the general availability of the OpenTelemetry Collector Datadog Exporter for metrics and traces, enabling users to send OpenTelemetry data directly to Datadog alongside other third-party observability tools. The Datadog Exporter can be easily installed by adding a few lines to your config file and supports sending infrastructure metrics and traces from applications to Datadog for visualization and analysis.

The OpenTelemetry Collector is used to receive and process telemetry data, which is then forwarded to a backend specified by the user. The Datadog Exporter allows users to collect logs with the OpenTelemetry Collector and export them to Datadog for further monitoring. With this integration, users can automatically correlate logs and traces from the OpenTelemetry Collector, providing deeper insight into application behavior and speeding up troubleshooting. The Datadog Exporter now also supports sending logs to Datadog, allowing users to visualize request activity in their application and see the logs that explain its performance. This integration enables users to leverage the capabilities of both OpenTelemetry and Datadog for a more comprehensive understanding of their cloud-native applications.

The OpenTelemetry Collector is an open source framework that collects and standardizes telemetry data from cloud-native applications and services. It provides tools, APIs, and SDKs to collect and process data before routing it to desired destinations. The Datadog Exporter for OpenTelemetry Collector enables users to send infrastructure metrics and traces directly to Datadog, expanding their observability options without vendor lock-in. By adding just a few lines of code to the config file, users can easily install the exporter and start sending data to Datadog. Once configured, the exporter sends metrics in the OpenTelemetry Protocol (OTLP) format, which can be visualized using Datadog's suite of infrastructure monitoring features. Additionally, the exporter enables trace collection with Datadog APM, allowing users to gain critical insight into application performance and identify issues. The integration expands observability options for users already using OpenTelemetry, providing a hassle-free method to collect and visualize data from cloud-native applications and services.

You can now deploy the Datadog Agent with your Google Cloud Run applications to collect traces, logs, and custom metrics directly from your managed Cloud Run services. Datadog's integrations for Google Cloud Run and Google Cloud Platform enable you to visualize metrics from your containerized workloads, as well as application and platform logs from Google Cloud Run. The Serverless view in Datadog provides a centralized location to gather key telemetry within your Cloud Run services, allowing you to better understand their performance, quickly locate bottlenecks, and investigate potential root causes of issues. You can visualize request throughput, latency, and error rates from your serverless applications, and use the view to investigate errors, pinpoint root causes, and monitor enhanced and custom Cloud Run metrics. Datadog also provides automatic tagging for cold starts and shutdowns in Cloud Run, enabling you to track their prevalence within your workloads and make data-driven decisions to optimize performance. Additionally, you can instrument your Cloud Run functions to send custom metrics to Datadog, allowing you to monitor KPIs specific to your business and gain deeper insights into your managed Cloud Run workloads.

APM is now available on the Datadog mobile app, allowing users to quickly assess crucial performance metrics from their services, triage alerts, declare incidents, and investigate slow endpoints right from their mobile devices. The integration enables users to track key performance metrics across services, manage and declare incidents on-the-go, and troubleshoot application performance issues anywhere. This streamlined approach helps reduce the need for switching between devices during critical service issue resolution.

AVM Consulting has released a Workday integration for Datadog Marketplace, providing comprehensive visibility into an entire Workday system. The integration includes an out-of-the-box dashboard that centralizes telemetry data from all Workday tenants and integrations, along with two monitors tracking vital signs and alerting users to critical errors. This solution enables monitoring of Workday tenant connectivity and integration health, as well as troubleshooting using job metrics and logs. The integration simplifies the process of pinpointing issues in complex Workday tenants and offers continuous visibility into every component of the system.

The Workday integration from AVM Consulting is now available in the Datadog Marketplace, providing a unified view into entire Workday systems. The integration offers an out-of-the-box dashboard that centralizes telemetry data and two monitors to track vital signs of tenants and integrations, detecting changes in availability and assessing health. This allows for timely response to faulty or lost functionality and provides detailed visibility for business users and administrators alike. Additionally, the integration simplifies troubleshooting by providing job metrics and logs, enabling quick identification of anomalies and causes of errors. By installing the integration, customers can monitor Workday tenant connectivity and integration health, as well as troubleshoot issues using job metrics and logs, making it easier to maintain optimal enterprise performance.

You can quickly assess crucial performance metrics from your services, triage alerts, declare incidents, and drill down to investigate slow endpoints—all right from your mobile device. APM on the Datadog mobile app enables you to set up home screen monitor widgets that notify you when issues are detected in your services, databases, or serverless functions. You can easily dive into real-time performance metrics, filterable by tags like environment and datacenter, and pivot to a detailed service page to start gathering diagnostic information about any affected resources. With APM on the Datadog mobile app, you can investigate issues without ever leaving the mobile app, declare incidents, manage them directly from the mobile app, and receive notifications for future incidents.