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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - 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Monitor mainframe activity with Bottomline's Record and Replay offering in the Datadog Marketplace
2023-05-23 · via Datadog | The Monitor blog

Many organizations have faced the complex challenges that come with mainframe monitoring. MIPS-based cost models make native mainframe software expensive, and deploying individual agents to user desktops and devices is difficult to maintain and scale. To address these challenges, Bottomline Technologies—a leading provider of financial technology—has created Bottomline Record and Replay, a non-invasive mainframe security solution that allows you to monitor legacy IBM Mainframe 3270 and IBM System 5250 users via network traffic.

We’re excited to announce that you can now install an integration and purchase a software license to Bottomline’s Record and Replay offering in the Datadog Marketplace. By using Bottomline Record and Replay in Datadog, you have the ability to view mainframe user and system activity alongside resource performance and availability all within one platform.

In this post, we’ll discuss how you can use our Bottomline integration to track and analyze mainframe user sessions, security events, and resource performance with an out-of-the-box (OOTB) dashboard, as well as how to build Datadog detection rules and security signals to monitor unusual activity.

Track user and system activity to optimize your mainframe

After setting up the Bottomline integration, mainframe user and system activity, resource usage, and resource response times will begin to populate in Datadog Log Management. Your internal audit, risk analysis, IT, and security teams can use the pre-built log pipeline, OOTB dashboard, alerting capabilities, and metrics to help you monitor and optimize your mainframe resources.

Bottomline Activity Overview dashboard

The Bottomline Activity Overview dashboard is easily modifiable, letting you choose which information you’d like to see and the format that best displays it. You can monitor resource usage and gain insight into which specific resources are being used, how often they’re accessed, and the location they’re accessed from. You can also analyze your resource response times to identify patterns, anomalies, and trends that will help you quickly identify the root cause of performance slowdowns and effectively mitigate any related issues. The dashboard also shows a list of security events with brief descriptions, as well as the status of Bottomline’s recommended monitor which will trigger if mainframe resources are too slow to respond. All of these events and metrics will have related logs that display more information about your mainframe applications, including the event attributes and processes.

You can also create custom alerts that will notify SREs of any performance issues. SREs can trigger the familiar Datadog Incident Management workflow directly from a security event or alert within our platform. You can assign remediation tasks and conveniently gather information from the incident timeline in order to improve mainframe system performance.

Monitor and replay suspicious user activity

Beyond monitoring maintenance events and viewing log files, you can also create your own detection rules in Datadog Cloud SIEM and set alerts and security signals that can notify your team if unusual activity is detected.

Let’s say a security signal alerts you to suspicious activity in the form of excessive login attempts to a specific account on one of your mainframe applications. From the dashboard in Datadog, you can select the event from the Security Events list and review the corresponding logs to see more information. From the Event Attributes tab, you can select the “replay” option under the “session” heading in order to pivot directly from Datadog to the Bottomline user activity session that triggered the security event.

Datadog logs link directly to Bottomline Record and Replay

Bottomline Record and Replay will show exactly what the user did to help you determine whether further investigation is required. Because activity is recorded, you can visually replay user activity that occurred on your mainframe applications at any time to aid your investigation.

Replay recorded activity to aid investigations

Get started with Bottomline and Datadog today

The Bottomline Record and Replay integration with Datadog gives you enhanced visibility into your mainframe so that you can detect threats and data breaches, manage and improve performance, and see a full picture of user and system activity. To begin monitoring your mainframe with Datadog, you can purchase a software license in the Datadog Marketplace and install the Bottomline integration. If you aren’t already a Datadog customer, you can learn more about the Marketplace in our blog post and sign up for a 14-day free trial of Datadog today.

The ability to promote branded marketing tools is a membership benefit offered through the Datadog Partner Network. If you’re interested in developing an integration or application that you’d like to promote, you can contact us at marketplace@datadog.com.