When troubleshooting an incident, DevOps teams often get bogged down searching for errors and unexpected events in an ever-increasing volume of logs. The painstaking nature of this work can result in teams struggling to resolve issues before new incidents appear, potentially leading to an incident backlog, longer MTTR, and a degraded end-user experience.
gRPC is an open-source Remote Procedure Call (RPC) framework developed by Google and released in 2016. Although gRPC is still relatively new, large organizations are adopting it in increasing numbers to build APIs that connect complex microservice meshes that use disparate languages and frameworks. gRPC-based APIs can perform requests up to seven times faster than REST APIs and enable customers to easily implement SSL authentication, load balancing, and tracing via plug-in libraries.
Dataflow is a fully managed stream and batch processing service from Google Cloud that offers fast and simplified development for data-processing pipelines written using Apache Beam. Dataflow’s serverless approach removes the need to provision or manage the servers that run your applications, letting you focus on programming instead of managing server clusters. Dataflow also has a number of features that enable you to connect to different services.
The Datadog Service Catalog helps you centralize knowledge about your organization’s services, giving you a single source of truth to improve collaboration, service governance, and incident response. Datadog automatically detects your APM-instrumented services and writes their metadata to a service definition before adding them to the catalog.
The modern standards of the web demand that user-facing applications be highly usable and satisfying. When deploying frontends, it’s important to implement a comprehensive testing strategy to ensure your customers are getting the best possible user experience. It can be difficult, however, to gauge the effectiveness of your test suite. For instance, all of your tests may be passing, but they might not cover a specific UI element that is crucial to a critical workflow.
Editor’s note: This post was updated on August 9, 2022, to include a demonstration of how to enable highly available support for HPA. It was also updated on November 12, 2020, to include a demonstration of how to autoscale Kubernetes workloads based on custom Datadog queries using the new DatadogMetric CRD.
Rails is a Ruby framework for developing web applications. It favors the Model-View-Controller (MVC) architecture and includes generators that create the files needed for each MVC component. Rails applications consist of a database, an application server for running application code, and a web server for processing requests. Rails provides multiple integrations for its supporting database (e.g., MySQL and PostgreSQL) and web server (e.g., Apache and NGINX).
Organizations across a wide range of industries share a common goal: deploy stable applications that support their customers’ needs. Many of these organizations rely on the Datadog platform to get complete visibility into the health and performance of their applications, and we understand how important it is that our services are reliable. That’s why we leverage our own products to ensure that the platform works as expected.
APIs are integral to the success of modern enterprises across a wide range of industries, such as finance, logistics, and manufacturing. They not only enable developers to build powerful business solutions by integrating with external applications, but also facilitate communication between internal services. This means that the ability to build reliable, highly-performant APIs—and govern their behavior and performance—is more important than ever.
