Best Debugging Tools for Google Cloud Platform

Elevate your Android development teams by utilizing virtual devices that offer exceptional scalability. These devices support all major testing frameworks such as ADB, Appium, Espresso, and Robotium. They seamlessly integrate with leading continuous integration platforms like CircleCI, Bitrise, and Terraform. By eliminating nested virtualization, you can enhance the speed of your testing and operational processes, regardless of whether you have a dedicated GPU. Gain immediate access to limitless virtual devices that can operate concurrently for test sharding or parallel execution. The offering spans from Android 4.4 to the most recent versions, accommodating various screen sizes and supporting numerous platforms, including our own infrastructure as well as AWS, Google, Azure, and Alibaba. You maintain complete control over your infrastructure without any maintenance requirements, ensuring top-tier security and dependability for enterprise applications. Experience infinite scalability through cloud provider data centers, with dedicated GPUs available for select devices. Furthermore, you can emulate over 3000 unique virtual Android device configurations, including variations in Android versions, screen dimensions, and hardware capabilities, thereby enhancing your testing versatility. This comprehensive approach ensures that your Android teams are equipped with all the tools necessary for streamlined and effective development workflows.

Defang is a developer-focused platform designed to streamline the development, deployment, and debugging of cloud applications. Utilizing AI-driven tools, Defang empowers developers to quickly evolve their concepts into fully operational applications hosted on their selected cloud services. The platform accommodates various programming languages such as Go, JavaScript, and Python, enabling users to kickstart their projects with example templates or create outlines through natural language instructions. With just a single command, Defang automates the building and deployment processes, managing configurations related to computing, storage, load balancing, networking, logging, and security seamlessly. The Defang Command Line Interface (CLI) enhances user interaction with the platform, providing installation methods through shell scripts, Homebrew, Winget, Nix, or direct downloads. Developers can specify their services using compose.yaml files, which Defang leverages to facilitate application deployment in the cloud. Overall, this platform significantly reduces the complexity traditionally associated with cloud application development, making it more accessible for developers at all skill levels.

Developers can track errors and monitor performance to see what is important, find faster solutions, and continuously learn about their applications, from the frontend to backend. Sentry's performance monitoring can help you trace performance issues down to slow database queries and poorly performing api calls. Sentry's application performance monitoring is enhanced by stack traces. Identify performance issues quickly before they cause downtime. To see the entire distributed trace from end to end, you can identify the API call that is not performing well and highlight any errors. Breadcrumbs help you make application development easier by showing you the events that led to the error.

Real-time application debugging is made possible through Google Cloud's Cloud Debugger, which allows developers to examine the current state of an application without the need to pause or hinder its performance. This means that users remain unaffected while you gather information about the call stack and variables at any point in your source code. By utilizing this feature, you can gain insights into how your application behaves in a live environment, enabling you to pinpoint elusive bugs and enhance overall code quality. Furthermore, the ability to analyze live application states can greatly streamline the troubleshooting process, making it easier to maintain robust software.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.