Operations | Monitoring | ITSM | DevOps | Cloud

August 2020

Monitor containers on Amazon Bottlerocket with Datadog

Amazon’s Bottlerocket is a new Linux-based open-source operating system that’s designed with containers in mind. Bottlerocket is optimized and stripped down to only the essential software needed to run containers. You can apply updates to Bottlerocket in a single step, and roll them back instantly if necessary. And, because it’s open-source, you can customize the operating system to fit your specific needs.

NodeJS Instrumentation - Adding Custom Tags to Spans | Datadog Tips & Tricks

In part 1 of this 4 part series, you’ll learn how to use manual instrumentation to add additional detail to traces. We’ll add new tags, or attributes, to the spans generated by our NodeJS application, allowing for more insightful data visualizations in App Analytics.

NodeJS Instrumentation - Creating Custom Spans for Method-Level Visibility | Datadog Tips & Tricks

In part 2 of this 4 part series, you’ll learn how to instrument your NodeJS application to capture custom method-level spans, allowing visibility into how specific methods behave in your application. Flame graphs allow for deep insight into the performance of your code. During instrumentation, we can capture custom spans for deeper layers of visibility in the resulting flame graphs. In this video, we use instrumentation to capture a method-level span, allowing us to see the performance of that specific method in our flame graphs in the Datadog UI.

NodeJS Instrumentation - Adding Analyzed Spans for Improved Data Analytics | Datadog Tips & Tricks

In part 4 of this 4 part series, you’ll learn how to add Analyzed Spans to your traces to open up even more data search and aggregation capabilities via App Analytics. In this video, we will walk you through how you can turn any span into an Analyzed Span. Analyzed Spans function like the root spans of a trace, allowing us to turn the tags embedded in them into facets for advanced data aggregation and searching in App Analytics. You can check out how to add tags to spans—and how to utilize them in App Analytics—in our first video of the series here.

Monitor AWS GovCloud (US) with Datadog

Public sector organizations face a unique challenge when it comes to the cloud: how can they successfully migrate their operations while maintaining an air-tight, heavily regulated, massively distributed environment? To solve this problem, Amazon created the AWS GovCloud (US), two isolated Regions in the AWS ecosystem that are only accessible to US customers who meet strict security and compliance standards.

Explore Kubernetes resources with Datadog Live Containers

Running Kubernetes applications requires visibility into not only the overall performance of clusters but also the health of individual pods, deployments, and other resources that make up your environment. Datadog already integrates with your containerized environments and includes features like the Live Container view and the Container Map, enabling you to easily monitor Kubernetes and container runtime performance in real time and get deep visibility into clusters.

Effortless Load Testing | Simon Aronsson (Load Impact / k6)

Load testing and performance monitoring used to be really hard and bothersome. Not any more! With modern code-first tools and visualisation, being on top of your service scalability and performance is no longer something that's reserved for the QA department. According to research by Google, 53% of mobile website visitors will leave if the page load duration exceeds three seconds. Armed with this knowledge, We'll go through how to implement load tests and performance monitoring around it as well as how to efficiently visualize it.

Expand your monitoring reach with the Datadog Marketplace

The Datadog Partner Network (DPN) is a rapidly growing registry of hundreds of leaders in the cloud service industry who choose Datadog to meet their infrastructure-monitoring needs. Partners are well-acquainted with the more than 400 technology integrations available to Datadog customers, but with the huge diversity in technical stacks used by our customers, there’s always demand for more customization and flexibility.

Enable preconfigured alerts with Recommended Monitors

Datadog’s more than 400 integrations collect monitoring data from across your entire stack, giving you full visibility into the health and performance of your applications and infrastructure. Alerts are a crucial part of any monitoring workflow, as they draw your attention to problems in your system before they affect your users. But whether you’re migrating to a new environment or integrating a new technology into your stack, it’s not always clear what data you should alert on.

Introducing Datadog Compliance Monitoring

Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, asset misconfigurations were the leading cause of cloud security breaches in 2019. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.

Incident Management with Datadog

When your application experiences an outage, the tools your team uses to manage its response can make all the difference in how quickly they resolve the problem and avoid it in the future. An effective incident management workflow depends on accessible, integrated tools as well as clear, direct channels of communication. And, even after the matter’s been resolved, documentation and analysis of an outage is vital to ensuring it never happens again.

Dash 2020: Guide to Datadog's newest announcements

Today, at Dash 2020, we unveiled new products and features on the Datadog platform that provide engineering teams with even deeper visibility into their distributed applications and infrastructure. With these additions, Datadog further streamlines every step of your release cycle, from shift-left testing in your CI/CD pipelines to profiling your code in production.

Analyze code performance in production with Datadog Continuous Profiler

To complement distributed tracing, runtime metrics, log analytics, Synthetic Monitoring, and Real User Monitoring, we’ve made another addition to the application developer’s toolkit to make troubleshooting performance issues even faster and simpler. Continuous Profiler is an always-on, production code profiler that enables you to analyze code-level performance across your entire environment, with minimal overhead.

Make sense of application issues with Datadog Error Tracking

When your applications raise errors, you need a way to make sense of them so you can set priorities, start troubleshooting, and gauge the success of your efforts. Errors can appear within the thousands of browser sessions and backend hosts running your software, making it difficult to find meaning within the noise. This is especially true of frontend errors, where seemingly endless permutations of browser version, location, and other environmental details can make it hard to spot trends.

Incorporate Datadog Synthetic tests into your CI/CD pipeline

Testing within the CI/CD pipeline, also known as shift-left testing, is a devops best practice that enables agile teams to continually assess the viability of new features at every stage of the development process. Running tests early and often makes it easier to catch issues before they impact your users, reduce technical debt, and foster efficient, cross-team collaboration.

Improve mobile user experience with Datadog Mobile Real User Monitoring

From gaming and social media to e-commerce and travel, mobile is reshaping the way businesses operate and engage with their customers. In an increasingly competitive market, ensuring your mobile applications stay highly performant and resilient will be critical in differentiating yourself from the crowd as well as avoiding uninstalls and poor app reviews.