TotalView
TotalView debugging software provides the specialized tools you need to quickly debug, analyze, and scale high-performance computing (HPC) applications. This includes highly dynamic, parallel, and multicore applications that run on diverse hardware — from desktops to supercomputers. Improve HPC development efficiency, code quality, and time-to-market with TotalView’s powerful tools for faster fault isolation, improved memory optimization, and dynamic visualization. Simultaneously debug thousands of threads and processes. Purpose-built for multicore and parallel computing, TotalView delivers a set of tools providing unprecedented control over processes and thread execution, along with deep visibility into program states and data.
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Scout Monitoring
Scout Monitoring is Application Performance Monitoring (APM) that finds what you can't see in charts.
Scout APM is application performance monitoring that streamlines troubleshooting by helping developers find and fix performance issues before customers ever see them. With real-time alerting, a developer-centric UI, and tracing logic that ties bottlenecks directly to source code, Scout APM helps you spend less time debugging and more time building a great product.
Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead.
Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications.
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Linaro Forge
Linaro Forge is an integrated HPC debugging and performance analysis suite that helps developers build reliable, optimized code for servers and high-performance computing environments by combining three core tools, Linaro DDT, a market-leading debugger for C, C++, Fortran, and Python applications; Linaro MAP, a performance profiler that highlights bottlenecks and suggests optimization strategies; and Linaro Performance Reports, which generate concise, one-page summaries of application performance. It supports a wide range of parallel architectures and programming models, including MPI, OpenMP, CUDA, and GPU-accelerated environments on x86-64, 64-bit Arm, and other CPUs and GPUs, and offers a common user interface that makes it easy to switch between debugging and profiling during development.
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Telepresence
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.
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