Best Debugging Tools for Docker

TrustInSoft Analyzer is a C and C++ source code analyzer powered by formal methods, mathematical & logical reasonings that allow for exhaustive analysis of source code. This analysis can be run without false positives or false negatives, so that every real bug in the code is found. Developers receive several benefits: a user-friendly graphical interface that directs developers to the root cause of bugs, and instant utility to expand the coverage of their existing tests. Unlike traditional source code analysis tools, TrustInSoft’s solution is not only the most comprehensive approach on the market but is also progressive, instantly deployable by developers, even if they lack experience with formal methods, from exhaustive analysis up to a functional proof that the software developed meets specifications. Companies who use TrustInSoft Analyzer reduce their verification costs by 4, efforts in bug detection by 40, and obtain an irrefutable proof that their software is safe and secure.

Skim through traffic with highlighting by content type, status & source, or use powerful filtering tools to precisely match the messages that matter to you. Examine the URL, status, headers & body of each request or response, with inline explanations & docs from MDN. Dig into message bodies with highlighting & auto formatting for JSON, HTML, JS, hex and others, all using the power of Monaco, the editor from Visual Studio Code. Precisely match requests, jump to them when they appear, and edit anything: the target URL, method, headers or body. Manually respond directly to requests as they arrive, or pass them upstream, and pause & edit the real response on the way back. Step through HTTP traffic request by request, or manually mock endpoints and errors. Create rules to match requests and respond with your own content, to quickly prototype against new endpoints or services.

Empower your Android teams with virtual devices that truly scale. With all testing frameworks based on ADB, Appium, Espresso, Robotium, etc. Works with popular continuous integration solutions CircleCI, Bitrise, Terraform, etc. No nested virtualization to speed up your tests and operations with or without a dedicated GPU. Instant access to unlimited virtual devices that can be run simultaneously for test sharding or parallel testing. Available from Android 4.4 to latest Android versions, in all screen sizes and on a large variety of platforms including our own but also AWS, Google, Azure and Alibaba. Control over your infrastructure with no maintenance needs. Best-in-class security and reliability for enterprise needs. Infinite scalability with cloud providers datacenters. Dedicated GPUs are available on selected devices. Emulate 3000+ virtual Android device configurations (Android versions, screen size, hardware capacities, etc.)

Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.

Polar Signals cloud is an always-on, zero-instrumentation continuous profiling product that helps improve performance, understand incidents, and lower infrastructure costs. With just one command and the easiest onboarding guide you’ll ever see, you can start saving costs and optimizing performance in your infrastructure. Travel back in time to pinpoint incidents and issues. Profiling data provides unique insight and depth into what a process executed over time. Utilize profiling data collected over time to confidently and statistically identify hot paths for optimization. Many organizations have 20-30% of resources wasted with code paths that could be easily optimized. Polar Signals Cloud employs an exceptional blend of technologies, purpose-built to deliver the profiling toolset essential for today's evolving infrastructure and applications. With a zero instrumentation setup, deploy immediately and reap the benefits of actionable observability data.

Defang is a developer-centric platform that simplifies the process of developing, deploying, and debugging cloud applications. By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a single command, Defang builds and deploys applications, handling configurations for computing, storage, load balancing, networking, logging, and security. The Defang Command Line Interface (CLI) facilitates interactions with the platform, offering installation options via shell scripts, Homebrew, Winget, Nix, or direct download. Developers can define services using compose.yaml files, which Defang utilizes to deploy applications to the cloud.

Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. 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.