As organizations evolve and their stacks become more complex, they need increasingly robust visibility into their cloud-based infrastructure, services, and applications. Meanwhile, teams within these organizations tend to become more specialized and siloed. As they multiply across offices and time zones, these teams must be enabled to collaborate flexibly without muddling their distinct day-to-day priorities.
With the growing adoption of automated deployment tools, many organizations are releasing code more frequently. As releases increase, it’s important to ensure that you don’t accidentally introduce faulty deployments, which can have wide-ranging impacts on your infrastructure, application, and end-user experience, and can potentially lead to costly rollbacks.
In any type of organization and at any scale, logs are essential to a comprehensive monitoring stack. They provide granular, point-in-time insights into the health, security, and performance of your whole environment, making them critical for key workflows such as incident response, security investigations, auditing, and performance analysis. Many organizations generate millions (or even billions) of log events across their tech stack every day.
Complex systems require many different monitors to assess the health of their infrastructure and applications, creating a wealth of alerts that can be hard to track. Due to a lack of effective triage processes, many organizations page engineers for every alert that comes in, making it difficult to separate false positives from issues that actually require immediate attention.
Logs provide valuable information for troubleshooting application performance issues. But as your application scales and generates more logs, sifting through them becomes more difficult. Your logs may not provide enough context or human-readable data for understanding and resolving an issue, or you may need more information to help you interpret the IDs or error codes that application services log by default.
When your organization relies on hundreds or thousands of hosts, it can be difficult to ensure that each is equipped with the proper tools and configurations. Configuration management tools like Ansible are designed to help you automatically deploy, manage, and configure hosts across your on-prem and cloud infrastructure. In this post, we’ll show you how to use Ansible to automate the installation of the Datadog Agent on a dynamic inventory of Windows hosts.
AWS Lambda Function URLs make it even easier to create AWS Lambda functions that can be accessed and triggered by using HTTP/S requests, which is key for building serverless applications that are connected to and invoked from the web. Now you can generate a URL in one click that points to a specified Lambda function. Then, any HTTP/S request that a Function URL receives will trigger the Lambda function it’s assigned to.
Pair programming is a well-established practice in agile software development. But it can be difficult in remote settings, as most remote collaboration tools don’t accommodate real-time, spontaneous interactivity among participants’ desktop environments. Datadog CoScreen changes that by combining interactive screen sharing and video conferencing in a way that closely mimics in-person collaboration.
In today’s modern digital environment, many organizations are architecting their infrastructure and services around a mix of cloud and on-prem solutions. Both cloud and private servers offer unique benefits, and taking a hybrid approach to infrastructure can allow businesses to better meet user demand on a global scale while expanding capabilities, minimizing risk, and keeping services consistent.
Calico is a versatile networking and security solution that features a plugable dataplane architecture. It supports various technologies, including Iptables, eBPF, Host Network Service (HNS for Windows), and Vector Packet Processing (VPP) for containers, virtual machines, and bare-metal workloads. Users can employ Calico’s network security policies to restrict traffic to and from specific clusters handling customer data and to quickly block malicious IP addresses during external attacks.
