Operations | Monitoring | ITSM | DevOps | Cloud

August 2021

Monitor feature releases with Statsig's offering in the Datadog Marketplace

Statsig is a modern experimentation platform that provides crucial insight into how new features are received by your users, so you can make informed product decisions and deploy with confidence. Statsig automatically runs A/B tests on features as they’re rolled out, and measures their impact on key business metrics, such as user growth and engagement.

Deploy ASP.NET Core applications to Azure App Service

The ASP.NET Core framework provides cross-platform support for web development, giving you greater control over how you build and deploy your.NET applications. With the ability to run.NET applications on more platforms, you need to ensure that you have visibility into application performance, regardless of where your applications are hosted. In previous posts, we looked at instrumenting and monitoring a.NET application deployed via Docker and AWS Fargate.

This Month in Datadog: August 2021 (Episode 4)

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. For the August 2021 episode, we take you behind the scenes to our NYC office, and sit down with two people from our Product leadership team.

Monitor Conviva with Datadog

Conviva is a platform that helps businesses gain real-time insight into the overall performance and playback quality of their streaming video content. With video streaming workflows, slow start-up times and playback errors can hinder user experience and ultimately drive customers away. With Conviva, you can view key Quality of Experience (QoE) metrics, including video playback failures, rebuffering ratios, and other business-critical data to help monitor and enhance your viewer experience.

Best practices for collecting and managing serverless logs with Datadog

Logs are an essential part of an effective monitoring strategy, as they provide granular information about activity that occurs anywhere in your system. In serverless environments, however, you have no access to the infrastructure that supports your applications, so you must rely entirely on logs from individual AWS services when troubleshooting performance issues.

Release code confidently with Automatic Faulty Deployment Detection

Modern software development teams use CI/CD tools to ship features quickly and rely on best practices like shift-left testing to find application errors before they become user-facing bugs. But you still face the risk that any code you deploy could contain errors that your testing did not surface. To help you deploy with confidence and mitigate the effects of a bad deployment, Datadog APM now provides Automatic Faulty Deployment Detection.

How to detect security threats in your systems' Linux processes

Almost all tasks within a Linux system, whether it’s an application, system daemon, or certain types of user activity, are executed by one or more processes . This means that monitoring processes is key to detecting potentially malicious activity in your systems, such as the creation of unexpected web shells or other utilities.

Detect security threats with anomaly detection rules

Securing your environment requires being able to quickly detect abnormal activity that could represent a threat. But today’s modern cloud infrastructure is large, complex, and can generate vast volumes of logs. This makes it difficult to determine what activity is normal and harder to identify anomalous behavior. Now, in addition to threshold and new term –based Threat Detection Rules , Datadog Security Monitoring provides the ability to create anomaly.

Monitor and visualize database performance with Datadog Database Monitoring

When you’re running databases at scale, finding performance bottlenecks can often feel like looking for a needle in a haystack. In any troubleshooting scenario, you need to know the exact state of your database at the onset of an issue, as well as its behavior leading up to it.

Highlights from Black Hat USA 2021

Black Hat USA is one of the industry’s oldest and most well-established security events. Last year, the conference was held virtually for the first time in its history. This year’s conference brought together the best of both worlds, with a hybrid event that was held virtually and in person in Las Vegas. Historically, Black Hat has seen about 20,000 attendees at its in-person conference.

Monitor your entire serverless stack in the Serverless view

Serverless event-driven architectures are composed of AWS Lambda functions that regularly interact with databases, APIs, message queues, and other resources to facilitate complex workflows and functionalities. It is therefore crucial to monitor every component of your stack to ensure your applications perform optimally at scale. But traditionally, telemetry data for AWS resources has lived in silos, making it difficult to quickly get the context you need to debug issues.

How to monitor containerized and service-meshed network communication with Datadog NPM

Containers are lightweight, portable, easily scalable, and enable you to run multiple workloads on the same host efficiently, particularly when using an orchestration platform like Kubernetes or Amazon ECS. But containers also introduce monitoring challenges. Containerized environments may comprise vast webs of distributed endpoints and dependencies that rely on complex network communication.

EFS Monitoring with Datadog

In Part 1 of this series, we looked at the key EFS metrics you should monitor, and in Part 2 we showed you how you can use tools from AWS and Linux to collect and alert on EFS metrics and logs. Monitoring EFS in isolation, however, can lead to visibility gaps as you try to understand the full context of your application’s health and performance.

Secure your infrastructure in real time with Datadog Cloud Workload Security

From containerized workloads to microservice architectures, developers are rapidly adopting new technology to scale their products at unprecedented rates. To manage these complex deployments, many teams are increasingly moving their applications to third party–managed services and infrastructure, trading full-stack visibility for simplified operations.

Monitor containerized ASP.NET Core applications on AWS Fargate

The ASP.NET Core framework enables you to build and deploy .NET applications on a wide variety of platforms, each of which has different observability concerns. In a previous post, we looked at monitoring a containerized ASP.NET Core application. In this guide, we’ll show how Datadog provides visibility into ASP.NET Core applications running on AWS Fargate. We’ll walk through.