Firewall systems are critical for protecting your network and devices from unauthorized traffic. There are several types of firewalls that you can deploy for your environment via hardware, software, or the cloud—and they all typically fall under one of two categories: network-based or host-based. Network-based firewalls monitor and filter traffic to and from your network, whereas host-based firewalls manage traffic to and from a specific host, such as a laptop.

Cloudera Data Platform (CDP) is a data analytics and management platform that enables users to centralize, visualize, and govern their data. While users may be accustomed to data analytics solutions that are completely siloed and difficult to scale, CDP is designed to be flexible, giving customers the ability to integrate with open source technologies and deploy in a hybrid, cloud-native, or multi-cloud environment.

When your applications are experiencing degraded frontend performance, every minute of investigation counts towards minimizing the impact of regressions on your users. That’s why we built Watchdog Insights, an AI-powered recommendations engine that augments monitoring investigations by intelligently surfacing data that sheds light on outliers in the errors and latency affecting your applications.

Azure OpenAI is a service for deploying AI applications on Azure resources. With its easy-to-use REST APIs, you can leverage the service to access OpenAI’s powerful language models, such as ChatGPT, for your applications while taking advantage of the reliability and security of the Azure platform. Datadog already offers an out-of-the-box integration for OpenAI so you can monitor key performance trends, such as API usage patterns, token consumption, and more.

Migrating your on-prem applications to Azure can help you improve scalability, reliability, and security. It can also help reduce costs and free your engineering teams to focus on innovation and performance optimization. But it can be hard to understand Azure costs as they evolve during your migration and to see how they correlate with your resource utilization once you’re up and running in Azure.

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.

As enterprises build and scale business-critical applications on Azure, they need continuous visibility to understand the health and performance of their services. This can be a challenge, especially for enterprises with large-scale deployments that include an ever-increasing number of subscriptions, resources, and teams.

End-to-end visibility into pipelines is crucial for ensuring the health and performance of your CI system, especially at scale. Within extensive CI systems—which operate under the strain of numerous developers simultaneously pushing commits—even the slightest performance regression or uptick in failure rates can compound rapidly and have tremendous repercussions, causing major cost overruns and impeding release velocity across organizations.

Roku is a popular streaming platform that allows users to access a wide variety of TV shows, movies, and other types of online video content. With its easy-to-use interface and affordable hardware, Roku has become one of the most popular streaming platforms in the world. At the end of 2022, Roku reported having over 70 million active users, with content available through 350+ channels.

XDP, or eXpress Data Path, is a Linux networking feature that enables you to create high-performance packet-processing programs that run in the kernel. Introduced in Linux 4.8 and built on extended Berkeley Packet Filter (eBPF), XDP provides a mechanism to process network packets earlier and faster than is possible through the kernel’s native network stack. In this post, we’ll discuss.

OpenAI is an AI research and development company whose products include the GPT family of large language models. Since the introduction of GPT-3 in 2020, these models’ fluent and adaptable processing of both natural language and code has propelled their rapid adoption across diverse fields. GPT-4, ChatGPT, and InstructGPT are now used extensively in software development, content creation, and more.

At Datadog, we’re constantly developing new integrations to give you complete, end-to-end visibility into your entire system. Here are just a few of our latest releases.

Effective network troubleshooting requires collecting and correlating thousands of data points across your entire stack. The more data you ingest, however, the more data you have to search through in order to locate important signals. This can make it hard to find the information you need during time-sensitive investigations.

To get visibility into highly distributed applications, organizations often use various tracing tools that are best suited to each individual service owner’s specifications. However, when a request travels between services that have been instrumented with different tools, the trace data may be formatted differently, resulting in broken traces.

Developers and teams who want to deploy new code often and safely leverage feature flags to decouple code deployments from feature releases. Feature flags enable teams to release new features to a subset of users, making it possible to test a new feature’s impact on users and ensuring that developers can easily roll back the feature if it causes downstream issues.

KubeCon + CloudNativeCon is the premier event that focuses on cloud-native technologies and Kubernetes. This year’s European edition took place in person and was completely sold out, with 10,000 attendees. Datadog joined the event as a platinum sponsor, and several of our engineers delivered talks on various topics, ranging from etcd to image signing and verification. In this post, we’ll share more details on these talks, along with our takeaways from the event.