Business Software for OpenTelemetry

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

imgproxy is an extremely fast and secure image processing tool. imgproxy is an image processing tool that is lightning fast and secure. It is designed to increase developer productivity and save time developing image processing pipelines. imgproxy Pro is a powerful version of this fast and secure image processing tool. It offers priority support, smart image adjustments and machine learning features. Thousands of users trust imgproxy on projects of various scales, from eBay and Photobucket to many startups. This is because it reduces costs as well as removes the restriction that saved images must conform to certain formats. 15 years of combined experience and machine learning expertise have guided our selection of 55+ features. Object detection Video thumbnail generation Color adjustment Auto-quality Advanced optimizations Watermarking Conversion from GIF to MP4

Docker streamlines tedious configuration processes and is utilized across the entire development lifecycle, facilitating swift, simple, and portable application creation on both desktop and cloud platforms. Its all-encompassing platform features user interfaces, command-line tools, application programming interfaces, and security measures designed to function cohesively throughout the application delivery process. Jumpstart your programming efforts by utilizing Docker images to craft your own distinct applications on both Windows and Mac systems. With Docker Compose, you can build multi-container applications effortlessly. Furthermore, it seamlessly integrates with tools you already use in your development workflow, such as VS Code, CircleCI, and GitHub. You can package your applications as portable container images, ensuring they operate uniformly across various environments, from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE, and beyond. Additionally, Docker provides access to trusted content, including official Docker images and those from verified publishers, ensuring quality and reliability in your application development journey. This versatility and integration make Docker an invaluable asset for developers aiming to enhance their productivity and efficiency.

Kubernetes (K8s) is a powerful open-source platform designed to automate the deployment, scaling, and management of applications that are containerized. By organizing containers into manageable groups, it simplifies the processes of application management and discovery. Drawing from over 15 years of experience in handling production workloads at Google, Kubernetes also incorporates the best practices and innovative ideas from the wider community. Built on the same foundational principles that enable Google to efficiently manage billions of containers weekly, it allows for scaling without necessitating an increase in operational personnel. Whether you are developing locally or operating a large-scale enterprise, Kubernetes adapts to your needs, providing reliable and seamless application delivery regardless of complexity. Moreover, being open-source, Kubernetes offers the flexibility to leverage on-premises, hybrid, or public cloud environments, facilitating easy migration of workloads to the most suitable infrastructure. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to changing demands in their environments.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

The Java™ Programming Language is designed as a versatile, concurrent, and strongly typed object-oriented language that utilizes a class-based structure. Typically, it is translated into bytecode that adheres to the specifications laid out in the Java Virtual Machine Specification. In this language, developers write source code in standard text files that conclude with the .java suffix. These source files are subsequently transformed into .class files through the use of the javac compiler. Unlike native processor code, a .class file comprises bytecodes, which serve as the machine language understood by the Java Virtual Machine (Java VM). To execute an application, the java launcher tool creates an instance of the Java Virtual Machine, allowing the compiled bytecode to run seamlessly. This process exemplifies the efficiency and portability that Java offers across various computing environments.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

Express is a lightweight and adaptable web application framework for Node.js, designed to offer a comprehensive array of features suitable for both web and mobile applications. It equips developers with a wide range of HTTP utility methods and middleware, facilitating the swift creation of powerful APIs. By providing only a minimal layer of essential web application functionalities, Express ensures that the core features of Node.js remain accessible and transparent to developers. Notably, it does not impose any database requirements, allowing developers the flexibility to connect with virtually any database through third-party Node modules. Additionally, a 404 response in Express is intentionally not treated as an error; rather, it signifies that all middleware functions and routes have been executed without yielding a response. This unique handling of 404 statuses underlines Express's philosophy of clarity and simplicity in web application development. By putting the focus on essential features and allowing developers to build upon them, Express empowers users to create tailored solutions that meet their specific needs.

A vast number of developers have utilized ASP.NET 4.x for building web applications. The evolution to ASP.NET Core marks a significant redesign of ASP.NET 4.x, introducing architectural improvements that lead to a more streamlined and modular framework. Notably, ASP.NET Core 3.x and subsequent versions are exclusively designed to target .NET Core. This modern framework predominantly relies on .NET Standard libraries, ensuring that libraries developed with .NET Standard 2.0 are compatible across any .NET platform that adheres to this standard. There are numerous benefits to choosing .NET Core as a target, with these benefits becoming more pronounced with each new release. The inclusion of Tag Helpers allows server-side logic to dynamically create and render HTML elements within Razor files. Additionally, the framework's built-in support for various data formats and content negotiation enhances the capability of web APIs, allowing them to effectively serve a diverse array of clients, such as web browsers and mobile applications. This adaptability positions ASP.NET Core as a powerful choice for modern web development needs.

Dynamic, adaptable, and efficient, PHP supports a wide range of applications, including personal blogs and the most visited sites globally. The PHP development team has just released PHP version 8.0.20, making it readily available for users. Moreover, when navigating the PHP.net website, you don't even need to locate a search box to find the information you seek promptly. Instead, you can take advantage of concise PHP.net URLs to reach specific pages directly, enhancing your browsing experience. This streamlined access allows developers and users alike to engage more effectively with PHP resources.

Engaging in Swift programming is both enjoyable and interactive, as its syntax is not only concise but also highly expressive, incorporating modern features that developers appreciate. Designed with safety in mind, Swift enables the creation of software that operates at remarkable speeds. This programming language is the culmination of cutting-edge research into language design, paired with extensive experience in developing for Apple platforms. The use of named parameters is facilitated by a clear syntax, enhancing the readability and maintainability of APIs in Swift. A noteworthy convenience is the omission of semi-colons, allowing for a more streamlined coding experience. Additionally, inferred types contribute to a cleaner codebase and reduce the likelihood of errors, while modules eliminate the need for headers and create organized namespaces. To effectively cater to various international languages and even emojis, Swift strings are Unicode-compliant and utilize a UTF-8 encoding for optimized performance across diverse applications. Moreover, writing concurrent code becomes straightforward with intuitive built-in keywords that delineate asynchronous behavior, enhancing both code clarity and reliability. This combination of features makes Swift an appealing choice for developers aiming to create efficient and robust applications.

Curious about the widespread appeal of Ruby? Its advocates describe it as a beautifully crafted, artistic language, while also highlighting its practicality and usefulness. Since being publicly launched in 1995, Ruby has garnered a loyal following of programmers from all corners of the globe. By 2006, Ruby had reached a level of widespread acceptance, with user groups emerging in major cities around the world and Ruby-focused conferences attracting large crowds. The Ruby-Talk mailing list, which serves as the main forum for discussions regarding the language, reached an impressive average of 200 messages daily during that year. However, in more recent times, the volume of messages has decreased as the community has diversified into numerous smaller groups. Ruby consistently ranks among the top 10 in various indices evaluating the growth and popularity of programming languages globally, such as the TIOBE index. A significant factor contributing to this rise is the increasing prominence of software developed in Ruby, most notably the Ruby on Rails web framework, which has played a pivotal role in its adoption by developers. The combination of elegance and functionality continues to attract new users to the Ruby community.

Rust stands out for its incredible speed and efficient memory management, operating without the need for a runtime or a garbage collector, making it suitable for high-performance applications, embedded systems, and seamless integration with a variety of programming languages. Thanks to its advanced type system and ownership model, Rust ensures both memory and thread safety, allowing developers to catch numerous bug types during the compilation process. The language is supported by excellent documentation and a user-friendly compiler that offers insightful error messages, along with an array of high-quality development tools—such as an integrated package manager, build system, intelligent multi-editor support featuring auto-completion and type checking, and an auto-formatter. With Rust's extensive ecosystem, creating a command-line interface tool is a breeze. It empowers developers to maintain their applications confidently and distribute them effortlessly. Additionally, Rust can enhance your JavaScript projects, facilitating the process of publishing to npm and bundling with webpack, thereby accelerating your development workflow. Leveraging Rust's capabilities can lead to faster and more reliable software solutions.

Thanks to a comprehensive array of tools and APIs available from leading cloud providers, developing services in Go has never been more accessible. The language's extensive open-source libraries, combined with its powerful standard library, make it ideal for crafting swift and sophisticated command-line interfaces. Go's exceptional memory management and compatibility with multiple integrated development environments enhance its capability to drive rapid and scalable web applications. With quick compilation times and a clean syntax, along with built-in formatting and documentation tools, Go is tailored to meet the needs of both DevOps professionals and site reliability engineers. This is a deep dive into everything related to Go. Whether you are embarking on a fresh project or looking to refine your existing Go skills, there’s a structured interactive introduction that is divided into three parts. Each part offers practical exercises to reinforce your understanding, and the Playground feature allows users to write Go code directly in a browser, which is then compiled, linked, and executed on our servers instantly. This hands-on approach makes learning Go not only effective but also enjoyable.

Elixir is a versatile and dynamic functional programming language designed for creating scalable and maintainable applications. It utilizes the Erlang VM, which is renowned for its capability to support low-latency, distributed, and fault-tolerant systems. This language finds application in various fields, including web development, embedded systems, data ingestion, and multimedia processing, making it valuable across numerous industries. To kickstart your experience with Elixir, be sure to explore our comprehensive getting started guide and learning resources. Elixir operates through lightweight execution threads known as processes, which are designed to be isolated and communicate by sending messages. Given their lightweight characteristics, it is common for a single machine to manage hundreds of thousands of these processes simultaneously. The isolation feature allows for independent garbage collection, which minimizes system-wide pauses and optimizes the use of machine resources for vertical scaling. Additionally, processes can interact with others across different machines within the same network, enhancing the language's flexibility and robustness. Overall, Elixir's architecture supports the development of highly concurrent applications, making it an appealing choice for many developers.

Vert.x enables handling a greater number of requests using fewer resources than traditional stacks and frameworks that rely on blocking I/O. It is well-suited for a variety of execution environments, including those with limitations such as virtual machines and containers. Have you heard that asynchronous programming can be daunting? We aim to make working with Vert.x a more accessible endeavor, ensuring that you don't compromise on accuracy or performance. By utilizing Vert.x, you can enhance deployment density and reduce costs instead of wasting resources. You can choose from various models that best suit your project's needs, including callbacks, promises, futures, reactive extensions, and (Kotlin) coroutines. Unlike a conventional framework, Vert.x operates as a toolkit, making it inherently composable and embeddable. We believe in giving you the freedom to design your application structure as you see fit. You can select the necessary modules and clients, seamlessly integrating them to build the application you envision. This flexibility allows developers to tailor solutions that perfectly align with their unique requirements.

SigNoz serves as an open-source alternative to Datadog and New Relic, providing a comprehensive solution for all your observability requirements. This all-in-one platform encompasses APM, logs, metrics, exceptions, alerts, and customizable dashboards, all enhanced by an advanced query builder. With SigNoz, there's no need to juggle multiple tools for monitoring traces, metrics, and logs. It comes equipped with impressive pre-built charts and a robust query builder that allows you to explore your data in depth. By adopting an open-source standard, users can avoid vendor lock-in and enjoy greater flexibility. You can utilize OpenTelemetry's auto-instrumentation libraries, enabling you to begin with minimal to no coding changes. OpenTelemetry stands out as a comprehensive solution for all telemetry requirements, establishing a unified standard for telemetry signals that boosts productivity and ensures consistency among teams. Users can compose queries across all telemetry signals, perform aggregates, and implement filters and formulas to gain deeper insights from their information. SigNoz leverages ClickHouse, a high-performance open-source distributed columnar database, which ensures that data ingestion and aggregation processes are remarkably fast. This makes it an ideal choice for teams looking to enhance their observability practices without compromising on performance.

Gain comprehensive insight into your cloud-native and distributed applications, encompassing everything from microservices to serverless setups, allowing for swift identification and resolution of underlying issues. Effortlessly integrate Application Performance Management (APM) to automatically detect anomalies, visualize service dependencies, and streamline the investigation of outliers and unusual behaviors. Enhance your application code with robust support for widely-used programming languages, OpenTelemetry, and distributed tracing methodologies. Recognize performance bottlenecks through automated, curated visual representations of all dependencies, which include cloud services, messaging systems, data storage, and third-party services along with their performance metrics. Investigate anomalies in detail, diving into transaction specifics and various metrics for a more profound analysis of your application’s performance. By employing these strategies, you can ensure that your services run optimally and deliver a superior user experience.

Enhance your operational efficiency by leveraging a widely-used open-source solution managed by AWS. Implement auditing and data security measures with an architecture that includes built-in certifications for both data centers and networks. Proactively identify potential threats and respond to system conditions by utilizing machine learning, alert notifications, and visualization tools. Streamline your time and resources to focus on strategic initiatives. Gain secure access to real-time search capabilities, monitoring, and analysis of both business and operational data. Amazon OpenSearch Service simplifies the process of conducting interactive log analytics, monitoring applications in real-time, and enabling website search functionalities. As an open-source, distributed search and analytics suite that evolved from Elasticsearch, OpenSearch allows for extensive data exploration. Amazon OpenSearch Service provides users with the latest releases of OpenSearch, compatibility with 19 different versions of Elasticsearch (ranging from 1.5 to 7.10), and visualization features through OpenSearch dashboards and Kibana, ensuring a comprehensive toolkit for data management. This versatile service empowers organizations to harness data insights efficiently while maintaining a robust security posture.

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Langtrace is an open-source observability solution designed to gather and evaluate traces and metrics, aiming to enhance your LLM applications. It prioritizes security with its cloud platform being SOC 2 Type II certified, ensuring your data remains highly protected. The tool is compatible with a variety of popular LLMs, frameworks, and vector databases. Additionally, Langtrace offers the option for self-hosting and adheres to the OpenTelemetry standard, allowing traces to be utilized by any observability tool of your preference and thus avoiding vendor lock-in. Gain comprehensive visibility and insights into your complete ML pipeline, whether working with a RAG or a fine-tuned model, as it effectively captures traces and logs across frameworks, vector databases, and LLM requests. Create annotated golden datasets through traced LLM interactions, which can then be leveraged for ongoing testing and improvement of your AI applications. Langtrace comes equipped with heuristic, statistical, and model-based evaluations to facilitate this enhancement process, thereby ensuring that your systems evolve alongside the latest advancements in technology. With its robust features, Langtrace empowers developers to maintain high performance and reliability in their machine learning projects.

Identify and resolve performance issues and errors within your microservices architecture. Establish connections between root causes by analyzing traces, logs, and metrics. Reduce your costs associated with OpenTelemetry traces through Aspecto's integrated remote sampling feature. The way OTel data is visualized plays a crucial role in enhancing your troubleshooting efficiency. Transition seamlessly from a broad overview to intricate details using top-tier visualization tools. Link logs directly to their corresponding traces effortlessly, maintaining context to expedite issue resolution. Utilize filters, free-text searches, and grouping options to navigate your trace data swiftly and accurately locate the source of the problem. Optimize expenses by sampling only essential data, allowing for trace sampling based on programming languages, libraries, specific routes, and error occurrences. Implement data privacy measures to obscure sensitive information within traces, specific routes, or other critical areas. Moreover, integrate your everyday tools with your operational workflow, including logs, error monitoring, and external event APIs, to create a cohesive and efficient system for managing and troubleshooting issues. This holistic approach not only improves visibility but also empowers teams to tackle problems proactively.

Eliminate delays, pinpoint inefficiencies, and troubleshoot problems effectively. Become a part of a swiftly growing network of global businesses that are realizing up to 20 times the value and return on investment by utilizing KloudMate, far exceeding other observability platforms. Effortlessly track essential metrics, relationships, and identify irregularities through alerts and tracking issues. Swiftly find critical 'break-points' in your application development process to address problems proactively. Examine service maps for each component within your application while revealing complex connections and dependencies. Monitor every request and operation to gain comprehensive insights into execution pathways and performance indicators. Regardless of whether you are operating in a multi-cloud, hybrid, or private environment, take advantage of consolidated Infrastructure monitoring features to assess metrics and extract valuable insights. Enhance your debugging accuracy and speed with a holistic view of your system, ensuring that you can detect and remedy issues more quickly. This approach allows your team to maintain high performance and reliability in your applications.