Alternatives to TotalView

Scout Monitoring is Application Performance Monitoring that shows you what charts cannot. Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers even see them. Scout APM's real-time alerting system, developer-centric interface, and tracing logic, which ties bottlenecks to source code directly, helps you spend less time on debugging, and more time creating great products. With an agent that instrument the dependencies needed at a fraction the overhead, you can quickly identify, prioritize and resolve performance issues - memory bloats, N+1 queries and slow database queries. Scout APM monitors Ruby, PHP and Python applications.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

There is no need to modify your code or the way that you build it. Profiling of applications that run on multiple servers and multiple processes. Clear views of bottlenecks in I/O in computing, in a thread or in multi-process activity. Deep insight into the actual instruction types of processors that impact your performance. To see memory usage over time, you can find high watermarks or changes across the entire memory footprint. Arm MAP is a unique, scalable, low-overhead profiler that can be used standalone or as part the Arm Forge profile and debug suite. It allows server and HPC developers to speed up their software by revealing the root causes of slow performance. It can be used on multicore Linux workstations as well as supercomputers. With a typical runtime overhead of 5%, you can profile the test cases you care about most. The interactive user interface was designed for developers and computational scientists.

You can build reliable and optimized code to achieve the best results on multiple Server or HPC architectures. This includes the latest compilers and C++ standard, as well as Intel, 64-bit Arm and AMD, OpenPOWER and Nvidia GPU hardware. Arm Forge combines Arm DDT (the leading debugger for efficient, high-performance application debugging), Arm MAP (the trusted performance profiler that provides invaluable optimization advice across native, Python, and HPC codes), and Arm Performance Reports, which provide advanced reporting capabilities. Arm DDT/Arm MAP can also be purchased as standalone products. Arm experts provide full technical support for efficient application development on Linux Server and HPC. Arm DDT is the best debugger for C++, C, and Fortran parallel applications. Arm DDT's intuitive graphical interface makes it easy to detect memory bugs at all scales and divergent behavior. This makes it the most popular debugger in academia, industry, research, and academia.

AWS ParallelCluster, an open-source tool for cluster management, simplifies the deployment of High-Performance Computing clusters (HPC) on AWS. It automates resource setup, including compute nodes and a shared filesystem. It also supports multiple instance types and queues for job submission. ParallelCluster can be accessed via a graphical interface, command line interface, or API. This allows for flexible cluster management and configuration. The tool integrates with AWS Batch and Slurm to facilitate seamless migration of HPC workloads into the cloud. AWS ParallelCluster comes at no extra cost; users pay only for the AWS resources used by their applications. AWS ParallelCluster allows you to use a simple text document to model, provision and dynamically scale resources for your applications. This can be done in an automated, secure and automated manner.

IDA Pro, as a disassembler, can create maps of their execution to show binary instructions that were actually executed by the processor in a symbolic representation. IDA Pro can generate assembly language source codes from machine-executable software and make this code more human-readable using advanced techniques. The dynamic analysis was added to IDA's debugging capabilities. It can handle remote applications and supports multiple debugging targets. Its cross-platform debugging capabilities allow instant debugging and easy connection to local and remote processes. IDA Pro allows the human analysts to override the disassembler's decisions or to give hints, so that the analyst can work seamlessly with the disassembler and more intuitively analyze binary code.

Arm DDT is the most widely used server and HPC debugger in academia, research, and industry for software engineers and scientists who develop C++, C, Fortran parallel, and threaded programs on CPUs and GPUs, Intel and Arm. Arm DDT is trusted for its ability to detect memory bugs and divergent behavior, enabling it to deliver lightning-fast performance on all scales. Cross-platform support for multiple servers and HPC architectures. Native parallel debugging for Python applications. Market-leading memory debugging. Outstanding C++ debugging support. Complete Fortran debugging support. Offline mode allows you to debug non-interactively. Large data sets can be visualized and handled. Arm DDT is a powerful parallel tool that can be used as a standalone debugger or as part the Arm Forge profile and debug suite. Its intuitive interface graphically allows for automatic detection of memory bugs at all scales and divergent behavior.

High-performance computing is the heart of AI, machine learning and deep learning applications. The Intel® oneAPI HPC Toolkit is a toolkit that allows developers to create, analyze, optimize and scale HPC applications using the most recent techniques in vectorization and multithreading, multi-node paralelization, memory optimization, and multi-node parallelization. This toolkit is an extension to the Intel(r] oneAPI Base Toolkit. It is required for full functionality. Access to the Intel(r?) Distribution for Python*, Intel(r] oneAPI DPC++/C++ C compiler, powerful data-centric library and advanced analysis tools are all included. You get everything you need to optimize, test, and build your oneAPI projects. An Intel(r] Developer Cloud account gives you 120 days access to the latest Intel®, hardware, CPUs and GPUs as well as Intel oneAPI tools, frameworks and frameworks. No software downloads. No configuration steps and no installations

Amazon EC2 UltraClusters allow you to scale up to thousands of GPUs and machine learning accelerators such as AWS trainium, providing access to supercomputing performance on demand. They enable supercomputing to be accessible for ML, generative AI and high-performance computing through a simple, pay-as you-go model, without any setup or maintenance fees. UltraClusters are made up of thousands of accelerated EC2 instance co-located within a specific AWS Availability Zone and interconnected with Elastic Fabric Adapter networking to create a petabit scale non-blocking network. This architecture provides high-performance networking, and access to Amazon FSx, a fully-managed shared storage built on a parallel high-performance file system. It allows rapid processing of large datasets at sub-millisecond latency. EC2 UltraClusters offer scale-out capabilities to reduce training times for distributed ML workloads and tightly coupled HPC workloads.

The Lustre file is an open-source parallel file system which supports many of the requirements of simulation environments for leadership class HPC. These pages are a great resource for anyone who is interested in the Lustre filesystem as a parallel system or a member of its diverse development community. The Lustre filesystem provides a POSIX compliant file system interface that can scale up to thousands of clients and petabytes in storage. It also supports hundreds of gigabytes/second of I/O bandwidth. The Lustre file system is composed of Metadata Servers, Metadata Targets, Object Storage Servers, Object Server Targets and Lustre Clients. Lustre was designed to provide a global, POSIX compliant namespace that is coherent and scalable for supercomputer platforms, as well as very large computer infrastructure. It can support hundreds or petabytes worth of data storage.

Azure high-performance computing (HPC). Power breakthrough innovations, solve complicated problems, and optimize compute-intensive workloads. A full stack solution designed for HPC allows you to run and build your most demanding workloads on the cloud. Azure Virtual Machines deliver supercomputing, interoperability and near-infinite scaling for compute-intensive workloads. Azure AI and analytics are industry-leading services that empower decision-making and deliver the next-generation AI. Multilayered, built-in privacy and security features help you secure your data and applications while ensuring compliance.

Arm Allinea Studio provides a suite of tools to develop server and HPC applications for Arm-based platforms. It includes Arm-specific libraries and compilers, as well as debugging and optimization tools. Arm Performance Libraries are optimized core math libraries that can be used to run high-performance computing applications on Arm processors. These routines are available via both Fortran and C interfaces. Arm Performance Libraries are built using OpenMP across many BLAS and LAPACK, FFT and sparse procedures to maximize your performance when working in multi-processor environments.

The Ansys HPC software suite allows you to use today's multicore processors to run more simulations in a shorter time. These simulations can be larger, more complex, and more accurate than ever before thanks to high-performance computing (HPC). Ansys HPC licensing options allow you to scale to any computational level you require, including single-user or small-user groups options for entry-level parallel processing to virtually unlimited parallel capability. Ansys allows large groups to run parallel processing simulations that are highly scalable and can be used for even the most difficult projects. Ansys offers parallel computing solutions as well as parametric computing. This allows you to explore your design parameters (size and weight, shape, materials mechanical properties, etc.). Early in the product development process.

AWS High Performance Computing services (HPC) enable users to execute large-scale simulators and deep-learning workloads in the cloud. They provide virtually unlimited compute capacity and high-performance file system, as well as high-throughput network. This suite of services accelerates the innovation process by providing a wide range of cloud-based applications, including machine learning, analytics, and rapid design and testing. On-demand access to computing resources maximizes operational efficiency, allowing users the freedom to solve complex problems without the limitations of traditional infrastructure. AWS HPC includes Elastic Fabric Adapter for low-latency and high-bandwidth networks, AWS Batch to scale computing jobs, AWS ParallelCluster to simplify cluster deployment, as well as Amazon FSx, a high-performance file system. These services provide a flexible, scalable environment that is tailored to diverse HPC workloads.

The Nimbix Supercomputing Suite offers a range of high-performance computing (HPC), as-a-service solutions that are flexible and secure. This as-a service model for HPC, AI and Quantum in cloud gives customers access to one the largest HPC and supercomputing portfolios. It includes hardware, bare metal-as a service, and the democratization and use of advanced computing in cloud across public and privately owned data centers. HyperHub Application Marketplace is our high-performance marketplace that offers over 1,000 applications and workflows. For the best infrastructure and on-demand scalability and convenience, BullSequana HPC server can be used as bare metal. Federated supercomputing-as-a-service offers a unified service console to manage all compute zones and regions in a public or private HPC, AI, and supercomputing federation.

SourceDebug is a powerful, project-oriented programming editor, code viewer, and debugger. It helps you understand code as you work and plan. SourceDebug includes dynamic analysis for C/C++ and Objective-C. SourceDebug can debug applications with source code from different locations. SourceDebug allows you to edit, browse, compile, and debug both local and remote projects. It can be used to quickly learn existing code and to get up to speed with new projects. SourceDebug can parse your entire project and allow you to navigate and edit code with ease. It can jump to variables, functions, and include files easily. Smart Bookmark can store the location of your browser and play it back when necessary. Supports GDB and LLDB-MI debug via SSH, ADB Telnet, Rlogin, and Local Cygwin. GDB server debug is also possible. Show Quickwatch, Callstacks, Variables and Memory. Supported are Ftp, Sftp, and Local drives.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

The integrated system management solution for Linux®, high-performance computing (HPC), clusters is offered by HPE Performance Cluster Manager (HPCM). HPE Performance Cluster Manager offers complete provisioning, management and monitoring of clusters that scale up to Exascale-sized supercomputers. The software allows for fast system setup starting from bare metal, comprehensive hardware monitoring, management, software updates, power management and cluster health management. It makes scaling HPC clusters faster and more efficient, and integrates with a variety of third-party tools to manage and run workloads. HPE Performance Cluster Manager cuts down on the time and effort required to administer HPC systems. This results in lower total cost of ownership, increased productivity, and a higher return on investment.

Amazon S3 Express One Zone, a high-performance storage class with a single Availability Zone, is designed to deliver consistent data access in milliseconds for your most frequently used data and applications that are latency sensitive. It offers data access rates up to 10x faster and request costs up to 50 percent lower than S3 Standard. S3 Express One Zone allows you to select a specific AWS availability zone within an AWS Region for your data storage. This allows you to co-locate both your compute and storage resources in the same AWS Region, further optimizing performance and lowering compute costs. The data is stored in an S3 directory bucket that supports hundreds of thousands requests per second. S3 Express One Zone can be used with services like Amazon SageMaker, Amazon Athena and Amazon EMR to accelerate machine learning and analytics workloads.

AWS Parallel Computing Service is a managed service which simplifies the running and scaling of high-performance computing workloads, and building scientific and engineering model on AWS with Slurm. It allows users to create complete, elastic environments that integrate storage, networking, computing, and visualization tools. This allows them to focus on their research and innovation, without having to worry about infrastructure management. AWS PCS provides managed updates and integrated observability features to enhance cluster operations and maintenance. Users can deploy HPC clusters that are scalable, secure, and reliable using the AWS Management Console (AWS CLI), AWS SDK, or AWS Command Line Interface. The service supports a variety of use cases including tightly coupled workloads such as computer-aided design, high-throughput computations like genomics analysis, GPU-accelerated computing, and custom silicon, like AWS Trainium or AWS Inferentia.

Errsole is a bug-tracking solution that helps streamline logging and debugging for Node.js live apps. The platform offers various functionalities such as error tracking, slow request logging, and centralized logging. Errsole also provides real-time error notifications and daily summaries via Email or Slack. Additionally, the solution helps developers debug live applications directly from their web browsers. - Centralized Logging: Errsole centralizes all application logs from servers in one place. - Error Tracking: Errsole centralizes all application errors in one place for viewing and resolution. - Root Cause Analysis: With Errsole, developers can pinpoint the exact HTTP requests that caused errors. - Slow Request Logging: Errsole tracks and records slow HTTP requests in the application, enabling users to pinpoint and address performance bottlenecks. - Debugging: With Errsole Debugger, developers can debug live applications directly from their web browser. - Collaboration: Invite developers to the app, manage their permissions, and assign errors to individual developers.

Find performance bottlenecks quickly and visualize what's going on in complex C/C++ applications. Orbit is an independent profiler and debugging software for Windows and Linux. Its primary purpose is to assist developers in understanding and visualizing the execution flow of complex applications. Orbit provides a bird's-eye view of what's happening under the hood. This allows developers to better understand complex systems and quickly identify performance bottlenecks. Orbit will work on any C/C++ program, as long as the application has access to a Pdb file. As soon as Orbit is downloaded, you can start profiling. Orbit injects and hooks selected functions into the target process. It works on highly optimized final/shipping build. When you don't have a clue where to begin, sampling is a great way to get started. Orbit's sampler is fast, robust and "always-on". Orbit optimizes the workflow by combining dynamic instrumentation and sampling.

Log management. Upgraded Honeycomb. Honeycomb is designed for modern developers to help them understand and improve their log management. You can quickly query system logs, metrics, and traces to find unknown unknowns. Interactive charts provide the most detailed view against raw, high-cardinality data. You can set Service Level Objectives (SLOs), based on what users are most interested in, to reduce noise alerts and prioritize work. Customers will be happy if you reduce on-call time, ship code faster, and minimize the amount of work required. Find the cause. Optimize your code. View your prod in high-res.

Sourcery CodeBench is a powerful tool that allows embedded software engineers to develop and optimize software for a variety targets and domains such as Automotive, Connectivity and Graphics. Sourcery CodeBench is more than just a compiler. It provides developers with powerful open-source embedded C/C++ development tools that allow them to build, debug and optimize embedded software in heterogeneous architectures such as Arm, IA32 and MIPS. Eclipse-based IDE that allows workspace customization and project management. Enhanced source editor with syntax highlighting. Board Builder supports custom boards. This tool automatically generates debug configuration files and linker scripts based on a board’s memory map.

Defang is a software organization located in Canada that was started in 2022 and provides software named Defang. Defang includes training through documentation and videos. Cost begins at $10 per month. Defang is a type of AI app generators software. Defang is offered as Windows, Mac, and Linux software. Defang has a free version. Defang provides online support.

The NVIDIA HPC Software Developer Kit (SDK), includes the proven compilers and libraries, as well as software tools that maximize developer productivity and improve the portability and performance of HPC applications. NVIDIA HPC SDK C and C++, and Fortran compilers allow GPU acceleration of HPC simulation and modeling applications using standard C++ and Fortran, OpenACC® directives and CUDA®. GPU-accelerated math libraries maximize performance for common HPC algorithms. Optimized communications libraries allow standards-based multi-GPU programming and scalable systems programming. Debugging and performance profiling tools make porting and optimizing HPC applications easier. Containerization tools allow for easy deployment on-premises and in the cloud. The HPC SDK supports NVIDIA GPUs, Arm, OpenPOWER or x86 64 CPUs running Linux.

Accelerate compute jobs such as machine learning and HPC. There are many GPUs available to suit different price points and performance levels. Flexible pricing and machine customizations are available to optimize your workload. High-performance GPUs available on Google Cloud for machine intelligence, scientific computing, 3D visualization, and machine learning. NVIDIA K80 and P100 GPUs, T4, V100 and A100 GPUs offer a variety of compute options to meet your workload's cost and performance requirements. You can optimize the processor, memory and high-performance disk for your specific workload by using up to 8 GPUs per instance. All this with per-second billing so that you only pay for what you use. You can run GPU workloads on Google Cloud Platform, which offers industry-leading storage, networking and data analytics technologies. Compute Engine offers GPUs that can be added to virtual machine instances. Learn more about GPUs and the types of hardware available.

High-end accelerators and processors such as Graphic Processing Units (GPU) are best for data-intensive AI, IoT, and HPC workloads that require multiple parallel processes. Businesses and research organizations have had the to make compromises when running compute-intensive workloads using cloud-based solutions. Cloud environments can be incompatible with new applications, or require high energy consumption levels. This can raise concerns about the environment. Other times, some aspects of cloud solutions are just too difficult to use. This makes it difficult to create custom cloud environments that meet business needs.

TrinityX, an open-source cluster management system created by ClusterVision to provide 24/7 oversight of High-Performance Computing and Artificial Intelligence environments. It provides a reliable, SLA-compliant system of support, allowing users the freedom to focus on their research, while still managing complex technologies like Linux, SLURM CUDA, InfiniBand Lustre and Open OnDemand. TrinityX simplifies cluster deployment with an intuitive interface that guides users step-bystep in configuring clusters for diverse purposes such as container orchestration, HPC and InfiniBand/RDMA. The BitTorrent protocol enables rapid deployment and setup of AI/HPC Nodes. The platform offers a dashboard that provides real-time insights on cluster metrics, resource usage, and workload distribution. This allows for the identification of bottlenecks, and optimizes resource allocation.

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

Elastic Fabric Adapter is a network-interface for Amazon EC2 instances. It allows customers to run applications that require high levels of internode communication at scale. Its custom-built OS bypass hardware interface improves the performance of interinstance communications which is crucial for scaling these applications. EFA allows High-Performance Computing applications (HPC) using the Message Passing Interface, (MPI), and Machine Learning applications (ML) using NVIDIA's Collective Communications Library, (NCCL), to scale up to thousands of CPUs and GPUs. You get the performance of HPC clusters on-premises, with the elasticity and flexibility on-demand of AWS. EFA is a free networking feature available on all supported EC2 instances. Plus, EFA works with the most common interfaces, libraries, and APIs for inter-node communication.

Amazon EC2 instances P4d deliver high performance in cloud computing for machine learning applications and high-performance computing. They offer 400 Gbps networking and are powered by NVIDIA Tensor Core GPUs. P4d instances offer up to 60% less cost for training ML models. They also provide 2.5x better performance compared to the previous generation P3 and P3dn instance. P4d instances are deployed in Amazon EC2 UltraClusters which combine high-performance computing with networking and storage. Users can scale from a few NVIDIA GPUs to thousands, depending on their project requirements. Researchers, data scientists and developers can use P4d instances to build ML models to be used in a variety of applications, including natural language processing, object classification and detection, recommendation engines, and HPC applications.

Kombyne™, a new SaaS high performance computing (HPC), workflow tool, was initially designed for customers in the aerospace, defense, and automotive industries. It is now available to academic researchers. It allows users to subscribe for a variety of workflow solutions for HPC-related jobs, including on-the-fly extraction generation and rendering to simulation steering. Interactive monitoring and control are available with minimal simulation disruption, and no reliance upon VTK. Extract workflows and real time visualization eliminate the need for large files. In-transit workflows use a separate process that receives data from the solver and performs visualizations and analysis without interfering in the running solver. The endpoint, also known as an extract, can output point samples, cutting planes, and point samples for data science. It can also render images. The Endpoint can also be used to bridge to popular visualization codes.

Amazon Elastic Compute Cloud's (Amazon EC2) instances P5 powered by NVIDIA Tensor core GPUs and P5e or P5en instances powered NVIDIA Tensor core GPUs provide the best performance in Amazon EC2 when it comes to deep learning and high-performance applications. They can help you accelerate the time to solution up to four times compared to older GPU-based EC2 instance generation, and reduce costs to train ML models up to forty percent. These instances allow you to iterate faster on your solutions and get them to market quicker. You can use P5,P5e,and P5en instances to train and deploy increasingly complex large language and diffusion models that power the most demanding generative artificial intelligent applications. These applications include speech recognition, video and image creation, code generation and question answering. These instances can be used to deploy HPC applications for pharmaceutical discovery.

Tool for developers to monitor and improve AI powered by LLMs or other foundation models. Our simple SDK provides you with an intuitive and actionable overview of how your generative AI application is performing in production. Integrate LLM into your existing codebase, developer workflow and workflow. You can maintain complete control of your data by using our audit logs and fine-grained controls. Get actionable insights into how to improve LLM interactions. These teams are not only best equipped to integrate these capabilities into existing software, but also their proclivity for deployment, iteration, and improvement will be more relevant going forward. We believe that as software becomes more malleable, engineering teams will be the ones to turn this malleability into a delightful and hyper-personalized experience for users. The generative AI revolution will be led by developers.

Intel®, DevCloud provides free access to a variety of Intel®, architectures. This allows you to get hands-on experience using Intel®, software, and execute your edge and AI, high-performance computing, (HPC) and rendering workloads. You have all the tools and libraries you need to accelerate your learning and project prototyping with preinstalled Intel®. optimized frameworks, tools and libraries. Freely learn, prototype, test, run and manage your workloads on a cluster with the latest Intel®, hardware and software. A new collection of curated experiences will help you learn, including market vertical samples and Jupyter Notebook tutorials. You can build your solution in JupyterLab, test it with bare metal, or create a containerized solution. You can quickly bring it to Intel DevCloud to be tested. Use the deep learning toolbench to optimize your solution for a specific target device edge. Take advantage of the new, stronger telemetry dashboard.

Modern software development must be as fast as the business. The modern AppSec toolbox lacks integration, which creates complexity that slows down software development life cycles. Contrast reduces the complexity that hinders today's development teams. Legacy AppSec uses a single-size-fits all approach to vulnerability detection and remediation that is inefficient, costly, and expensive. Contrast automatically applies the most efficient analysis and remediation technique, greatly improving efficiency and effectiveness. Separate AppSec tools can create silos that hinder the collection of actionable intelligence across an application attack surface. Contrast provides centralized observability, which is crucial for managing risks and capitalizing upon operational efficiencies. This is both for security and development teams. Contrast Scan is a pipeline native product that delivers the speed, accuracy and integration required for modern software development.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk is a developer security platform that automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams.

Debugging should not be complicated. AQTime Pro converts complex performance and memory information into easily digestible and actionable insights that allow you to quickly identify the root cause of bugs. Code bugs can drain your life! AQTime Pro makes it simple to find and squash highly differentiated bugs. You can quickly find memory leaks and performance bottlenecks as well as code coverage gaps with just a few clicks using over a dozen profilers. AQTime Pro allows you to find and fix all bugs in one tool, so you can get back to writing high-quality code. Code profilers shouldn't limit you to a single framework or codebase. They can prevent you from finding performance bottlenecks and memory leaks as well as code coverage gaps that are unique to your project. AQTime Pro can be used across multiple codebases or frameworks in a project. It supports many languages, including C/C++ and Delphi,.NET and Java.

Thundra helps application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud app debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production & production environments. Thundra offers 2 products: Thundra Foresight, to help you monitor & troubleshoot your CI workflows & tests. The second product is Thundra APM, which is an application performance monitoring for serverless and containers.

You can become a web performance and debugging guru by using the best in-browser HTTP sniffer. You can debug network traffic generated by a website directly from your browser, without needing to use a separate tool. You can accurately measure the network performance of a website and identify opportunities to improve it. Even with encrypted HTTPS traffic, no additional configuration or proxy is required. You can quickly identify weak SSL configurations or other security-related issues in your web server. Anyone can download the Basic Edition for free to receive full log files that will help you remotely diagnose problems or issues with performance. The HttpWatch API allows you to gather performance data from automated website tests. HttpWatch integrates Chrome, Edge, and Internet Explorer browsers to show the HTTP and HTTPS traffic generated when you access a website. HttpWatch allows you to select a request and all the information you need is displayed in a tabbed browser.

Telerik Fiddler HTTP (S) proxy can capture all HTTP(S), traffic between your computer & the Internet. You can inspect traffic, set breakpoints and play with requests & replies. Fiddler Everywhere is a web-debugging proxy that works on macOS, Windows and Linux. You can capture, inspect, monitor, and analyze all HTTP(S), traffic between your computer, the Internet, and mock requests. Fiddler Everywhere is compatible with any browser, app, or process. You can debug traffic from macOS or Windows systems, as well as iOS or Android mobile devices. Make sure that the appropriate cookies, headers, cache directives and headers are sent between the client's and server. Any framework is supported, including.NET and Java, Ruby, and others. You can mock or modify any website's requests and responses. It's quick and easy to modify the requests and responses on any website without having to change the code. Fiddler Everywhere allows you to log all HTTP/S traffic between the computer and the Internet.

Kaption is the most trusted AI-first feedback and analytics tool for digital marketers. Get the insights you need for optimizing your digital experience and moving your business forward. You can eliminate guesswork, understand why it happens, then iterate much faster. The best way to convince is to see things through the eyes of your customers. How do they use your website? Kaption allows you to visualize your user's journey, and any bumps along it. Good information is the key to excellence. You can be either lucky or wrong without data. You should focus your efforts on conversion and monitoring tools. Heatmap analytics for free to see how each element affects user behavior and user engagement on your site. Smart metadata allows you to see where users are stuck and helps you increase conversion rates.

Questa Verification is the only verification platform that offers a UVM-aware solution. This provides engineers with essential information about how their dynamic class-based testbenches work in the familiar contexts of source code and waveform watching. Questa Verification is a collection of technologies, methods, and libraries that are applicable to modern ASIC and FPGA design. Questa is constantly evolving to meet the increasing complexity of SoC designs. This publication provides insight and updates on concepts and values, standards, methodologies, examples, and other information to help you understand advanced functional verification technologies and how to apply them. Verification Horizons provides concepts, values and examples that will help you understand advanced functional verification technologies and how to apply them.

VisualVM monitors, troubleshoots, and diagnoses Java 1.4+ applications from a variety of vendors using jvmstat (jvmstat.com), JMX (Serviceability Agent), and Attach API. VisualVM is designed to meet the needs of all application developers, system administrators and quality engineers. VisualVM displays basic runtime information for each process: PID, mainclass, arguments passed to the java process, JVM home, JVM arguments and flags, and System properties. VisualVM monitors CPU usage of the application, GC activity and heap and metaspace / permanent memory, as well as the number of loaded classes, and running threads. VisualVM provides basic profiler capabilities to analyze application performance and memory management. Both sampling and instrumentation profiles are available.

Stetho is an advanced debug bridge for Android apps. Developers have native access to the Chrome Developer Tools feature as part of the Chrome desktop browser. Developers have the option to enable dumpapp, which provides a powerful command line interface to application internals. You can also include Stetho via Maven Central via Gradle, Maven. You only need the main Stetho dependency, but you may also want to use one or more of the network helpers. Integration with the Chrome DevTools frontend can be done using a client/server protocol that the Stetho software provides for you. The full range of Chrome Developer Tools features are available, including image preview, JSON response assisters, and exporting traces in the HAR format. SQLite databases can interactively be visualized and explored with full read/write capabilities.

Polar Signals cloud provides continuous profiling that is always on, zero-instrumentation, and helps to improve performance, reduce infrastructure costs, and understand incidents. You can optimize performance and save costs in your infrastructure with just one command. You can go back in time and pinpoint incidents or issues. Profiling data can provide unique insights and depth about how a process has performed over time. Use the profiling data gathered over time to confidently identify hot paths that can be optimized. Many organizations waste 20-30% of their resources on code paths that are easily optimized. Polar Signals Cloud is a unique blend of technologies that was designed to provide the profiling toolset necessary for today's changing infrastructure and applications. Deploy immediately with zero instrumentation and benefit from actionable observability information.

WEb INspector REmote is WEinre Pronounced like "winery". Or perhaps like the word "weiner". Weinre is a web page debugger, similar to FireBug (for Firefox), and Web Inspector (for WebKit based browsers), but it's designed to work remotely and, in particular, to allow users to debug web pages from a mobile device like a phone. Weinre was created in an era when there weren't any remote debuggers for mobile devices. Some platforms have begun to offer remote debugging capabilities as part of their platform toolkit. Weinre uses the user interface code from WebKit's web inspector project. If you have used Chrome's Developer Tools or Safari's web inspector, you will be familiar with weinre. Normal usage will require you to run the client application on your desktop/laptop and a target page on your smartphone. Weinre doesn't use any 'native code' in the browser. It's just plain old JavaScript.

Xdebug is a PHP extension that provides a variety of features to enhance the PHP development experience. You can step through your code while the script is running in your editor or IDE. A new var_dump() function that allows you to stack trace your code to highlight warnings, errors and exceptions. Writes every function call, including arguments and invocation location to the disk. Optionally, includes each variable assignment and return value for each of the functions. With the help of visualization tools, you can analyze the performance of your PHP app and identify bottlenecks. This tool allows you to see which parts of your code are executed when PHPUnit runs unit tests. The fastest way to install Xdebug is often with a package manager. You can replace the PHP version you are using with the version that is compatible. Xdebug can be installed via PECL on Linux & macOS using Homebrew.

This confluence created new requirements for HPC storage because the input/output patterns for both workloads were very different. It is happening right now. Intersect360, an independent analyst firm, found that 63% of HPC users are already running machine learning programs. Hyperion Research predicts that the growth in HPC storage spending by public sector organizations and enterprises over the next three-years will be 57% faster than that for HPC compute. Seymour Cray once stated, "Anyone can make a fast CPU." The trick is to create a fast system. Anyone can build fast file storage when it comes to AI and HPC. It is possible to create a cost-effective, scalable and fast file storage system. This is possible by embedding the most popular parallel file systems in parallel storage products from HPE that are cost-effective.