Canary Deploys
Working with complex systems means that even well-written code can behave in unexpected ways, leading to outages and critical issues. Jason Yee shows you how to limit the effect of unforeseen issues using canary deploys.
Operations | Monitoring | ITSM | DevOps | Cloud
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Tracking SLOs and Error Budgets in Datadog
Watch product manager Meghan Jordan as she discusses and demonstrates how Datadog’s monitor uptime and SLO widget can help you track your SLO performance, watch your error budget, and provide important visibility into the status of your SLOs and SLIs.
Network Performance Monitoring
Your applications and infrastructure components rely on one another in an increasingly complex fabric, regardless of whether you run a monolithic application or microservices, and whether you deploy to cloud infrastructure, private data centers, or both. Virtualized infrastructure enables developers to respond to arbitrary scale—and creates dynamic network patterns that aren’t well matched to traditional network monitoring tools. To provide visibility into every component in your environment, and all the connections between them, Datadog is introducing Network Performance Monitoring for the cloud age. Miranda Kapin of Datadog tells you more.
APM For Serverless
Datadog announced a beta for native Datadog APM in serverless environments, starting with AWS Lambda. When running applications in a managed environment, it's especially important to be able to track down the sources of slowdowns and bottlenecks. Datadog APM for serverless means you'll always have your finger on the pulse of your application health, and your code doesn't need to change as your teams adopt serverless.
Centralize your logs with Datadog and Fluent Bit
Fluent Bit is a lightweight, multi-platform tool that can collect, parse, and forward log data from several different sources. Because Fluent Bit has a small memory footprint (~450 KB), it is an ideal solution for collecting logs in environments with limited resources, such as containerized services and embedded Linux systems (e.g., IoT devices).
Monitor Vertica analytics platform with Datadog
Vertica is a platform that uses machine learning capabilities to help you analyze large amounts of data. Vertica provides high availability and parallel processing by replicating data onto multiple nodes in a cluster, and uses a column-based data store for efficient querying. You can deploy Vertica in the cloud, on premise, or as a hybrid of the two.
Leveraging HashiCorp Consul and Datadog for Service Mesh Deployments
Service mesh is quickly becoming a standard for organizations making the transition to a microservice environment. As companies make this shift, there are three key considerations for deploying an effective service mesh: Networking, Observability, and Reliability. This webinar will focus in on the Observability component of service meshes, specifically tracing. Watch this webinar to learn how HashiCorp Consul and Datadog are collaborating to help users implement and monitor their service mesh deployments.
Monitor Java memory management with runtime metrics, APM, and logs
The Java Virtual Machine (JVM) dynamically manages memory for your applications, ensuring that you don’t need to manually allocate and release memory in your code. But anyone who’s ever encountered a java.lang.OutOfMemoryError exception knows that this process can be imperfect—your application could require more memory than the JVM is able to allocate.
Integrate Alibaba's DingTalk with Datadog for faster troubleshooting
Real-time collaboration helps teams resolve issues quickly, which is crucial during outages when you don’t have a minute to lose. If your organization is using DingTalk, Alibaba’s platform for cross-team communication and collaboration, Datadog’s new integration lets you share and discuss annotated graphs on the fly and route alerts to your teams’ group chats so you can start troubleshooting issues without skipping a beat.
Datadog: 2-Minute Tour
See how Datadog brings together metrics, traces, logs, UX testing, and more in a single pane of glass. See inside any stack, any app, at any scale, anywhere.