OpenTelemetry Integrations

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.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.

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.

Docker eliminates repetitive, tedious configuration tasks and is used throughout development lifecycle for easy, portable, desktop, and cloud application development. Docker's complete end-to-end platform, which includes UIs CLIs, APIs, and security, is designed to work together throughout the entire application delivery cycle. Docker images can be used to quickly create your own applications on Windows or Mac. Create your multi-container application using Docker Compose. Docker can be integrated with your favorite tools in your development pipeline. Docker is compatible with all development tools, including GitHub, CircleCI, and VS Code. To run applications in any environment, package them as portable containers images. Use Docker Trusted Content to get Docker Official Images, images from Docker Verified Publishings, and more.

Express is a lightweight and flexible Node.js framework that offers a wide range of features for mobile and web applications. It is easy to create a robust API using a variety of HTTP utility methods and middleware. Express offers a thin layer that covers the core web application features without obscuring the Node.js features you already love. Express does not have any notion of a database. Third-party Node modules allow you to interface with almost any database. Express does not recognize 404 responses as errors and will not capture them. This is because a response of 404 indicates that there is no additional work to be done. Express has executed all middleware functions, routes, and found none of them to be responsive.

You may be wondering why Ruby is so popular. It is a beautiful and artistic language, according to its fans. They also say it's practical and useful. Ruby has attracted devoted coders around the world since its 1995 release. Ruby was widely accepted in 2006. Active user groups were formed in major cities around the globe and Ruby-related conferences were full to capacity. Ruby-Talk, the main mailing list for discussion about the Ruby language, saw an average of 200 messages per daily in 2006. As the community has grown, the number of messages per day on Ruby-Talk has fallen. Ruby ranks among the top 10 in most indices that measure popularity and growth of programming languages around the world (such as TIOBE index). The popularity of Ruby on Rails, especially the Ruby on Rails web framework, is responsible for a large part of this growth.

It is now easier than ever to create services with Go thanks to the strong ecosystem of APIs and tools available on major cloud providers. Go allows you to create elegant and fast CLIs using popular open-source packages and a robust standard repository. Go powers fast, scalable web applications thanks to its enhanced memory performance and support of several IDEs. Go supports both DevOps as well as SRE with its fast build times and lean syntax. All you need to know about Go. Get started on a project or refresh your knowledge about Go code. Three sections provide an interactive introduction to Go. Each section ends with a few exercises that allow you to put what you have learned into practice. Anyone can use a web browser to create Go code that we instantly compile, link, then run on our servers.

SigNoz can be used as an open-source alternative to Datadog or New Relic. A single tool that can handle all your observability requirements, including APM, logs and metrics, exceptions and alerts, dashboards, and dashboards. You don't have to manage multiple tools. You can use the powerful query builder and great charts that come with the software to dig deeper into data. By using an open-source standard, you are not locked into a vendor. OpenTelemetry's auto-instrumentation libraries can help you get started quickly and with minimal code changes. OpenTelemetry provides a single-stop solution to all your telemetry requirements. A single standard for telemetry signals increases developer productivity and consistency within teams. Write queries for all telemetry signals. Apply filters and formulas and run aggregates to gain deeper insights. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregates are lightning fast.

Millions of developers have used or used ASP.NET 4.x for creating web apps. ASP.NET Core is a redesigned version of ASP.NET 4.x. It includes architectural changes that make it more modular and efficient. ASP.NET Core 3.x or later can only target.NET Core. ASP.NET Core generally consists of.NET Standard library. Libraries written with.NET Standard2.0 run on any.NET platform which implements.NET Standard2.0. Targeting.NET Core has many benefits, and these benefits increase with each release. Tag Helpers allow server-side code participate in creating and rendering HTML elements within Razor files. Your web APIs can reach a wide range of clients with built-in support for multiple data types and content negotiation.

Free. Cross-platform. Open source. Open source platform for developing all your apps. You can create native apps for Android and iOS from one code base. Your.NET apps can be written in C# or F#, as well as Visual Basic. You can use your skills, code, favorite libraries, and code wherever you use.NET. These videos will show you more about.NET. .NET is open-source and we are grateful for all the contributions from the community.

PHP is fast, flexible, and pragmatic. It powers everything, from your blog to the most visited websites in the world. PHP 8.0.20 is now available from the PHP development team. You don't even need to use a search box when accessing the PHP.net website. To access pages, you can use PHP.net URLs.

C# (also pronounced "See Sharp"), is a modern, object oriented and type-safe programming language. C# allows developers to create many types of secure, robust applications that run in.NET. C# is rooted in the C family languages and will be familiar to JavaScript, C++, Java and JavaScript programmers. This tour will give you an overview of the main components of C# 8 or earlier. C# is an object-oriented and component-oriented programming language. C# supports these concepts directly with language constructs. This makes C# an easy language to create and use software components. C# has been evolving over time to support new software design practices and workloads. C# is an object-oriented programming language. You can define types and their behavior.

Swift code is interactive and fun to write. The syntax is concise and expressive, and Swift has modern features developers love. Swift code is safe and produces software that runs lightning fast. Swift is the result years of experience building Apple platforms and the most recent research on programming languages. Swift's APIs are easy to understand and maintain because the names of parameters are written in a simple syntax. You don't even have to use semi-colons. Modules eliminate headers and provide namespaces, while inferred types make code more readable and less likely to be misinterpreted. Strings support international languages and emoji best. They are Unicode-correct and use UTF-8-based encoding to maximize performance for a wide range of use cases. Concurrent code can be written with simple keywords that define asynchronous behavior. This makes your code easier to read and less likely to make errors.

Rust is lightning fast and memory efficient. It doesn't require a runtime or garbage collector and can run on embedded devices and integrate with other languages. Rust's rich type system, ownership model, and memory-safety guarantee thread-safety. This allows you to eliminate many types of bugs at compile time. Rust is a great tool with excellent documentation and a friendly compiler that displays useful error messages. Rust's strong ecosystem makes it easy to create a CLI tool. Rust makes it easy to maintain your app and distribute it with confidence. Rust can be used to turbocharge JavaScript one module at a while. You're ready to go!

Elixir is an expressive, dynamic language that allows you to create scalable and maintainable applications. Elixir uses the ErlangVM, which is known for its low latency, distributed, fault-tolerant, and fault-tolerant system. Elixir has been successfully used in web development and embedded software. It also supports data ingestion and multimedia processing across many industries. To get started with Elixir, check out our getting started guide or our learning page. All Elixir code runs within lightweight threads of execution, also known as processes. These processes are isolated and exchange information through messages. Because they are lightweight, it is possible to have hundreds of thousands or more processes running simultaneously on the same machine. Isolation allows for processes to be separated, reducing system-wide pauses and making use of all machine resources as efficiently possible (vertical scaling). The process can also communicate with other processes on the same network.

You can handle more requests with less resources than traditional stacks or frameworks that rely on blocking I/O. Vert.x works well in all types of execution environments, even constrained ones like containers and virtual machines. People have told you that asynchronous programming is too difficult. Vert.x programming is easy to use, and we don't believe in sacrificing accuracy or performance. You can save money and reduce waste by not wasting resources. Pick the model that best suits your task, including callbacks, promises and futures, reactive extensions, and (Kotlin), coroutines. Vert.x is not a framework but a toolkit. It is easily reusable and embeddable. We don't have a strong opinion about how your application structure should look. As you create your application, choose the modules and clients that you require and then compose them.

Get a deep understanding of your cloud-native applications, from microservices architectures to serverless architectures, and quickly identify the root causes of problems. APM can be used to identify anomalies, map dependencies and simplify investigations of outliers. Optimize your code with support for popular programming languages, OpenTelemetry and distributed tracing. Identify performance issues using an automated and curated visual representation that includes all dependencies including cloud, messaging and data stores, as well as third-party services, and their performance data. Drill down into anomalies, transactional details, and metrics to perform a deeper analysis.

Uptrace, an OpenTelemetry based observability platform, helps you monitor, understand and optimize distributed systems. Monitor your entire stack of applications on a compact and informative dashboard. You can get a quick view of all your hosts, services, and systems. Distributed tracing lets you see how a request moves through different services and systems, the timing for each operation, and any errors that occur. Metrics let you measure, visualize and monitor different operations quickly and efficiently using heatmaps, histograms and percentiles. Receive a notification if your app is down, or a performance anomaly has been detected. This will help you recover from incidents faster. You can monitor all of these things using the same query: spans. logs. errors. and metrics.

OpenLIT is a native application observability tool for OpenTelemetry. It is designed to integrate observability into AI with only one line of code. You can use HuggingFace or OpenAI, two popular LLM libraries. OpenLIT's native integration makes it easy to add it to your projects. Analyze LLM performance and GPU costs to maximize efficiency and scalability. Streams data so you can visualize your data, make quick decisions, and modify it. Data is processed quickly and without affecting performance. OpenLIT UI allows you to explore LLM costs and token consumption, performance indicators and user interactions through a simple interface. Connect with popular observability tools, such as Datadog and Grafana Cloud to export data automatically. OpenLIT monitors your applications seamlessly.

Langtrace is a free observability tool which collects and analyses metrics and traces to help you improve LLM apps. Langtrace provides the highest level security. Our cloud platform is SOC 2 Type II-certified, ensuring the highest level of protection for your data. Supports popular LLMs and frameworks. Langtrace is self-hosted, and it supports OpenTelemetry traces that can be ingested into any observability tools of your choice. This means there is no vendor lock-in. With traces and logs that span the framework, vectorDB and LLM requests, you can gain visibility and insights in your entire ML pipeline. Use golden datasets to create and annotate traced LLM interactions and continuously test and improve your AI applications. Langtrace has built-in heuristics, statistical and model-based analyses to support this process.

Troubleshoot performance issues and errors in your microservices. Correlate root cause across traces, metrics, and logs. Aspecto's built-in remote sampler will reduce your OpenTelemetry trace costs. The way OTel data has been visualized can impact your ability to troubleshoot. With the best-in class visualization, you can go from a high level overview to every last detail. Correlate logs with traces. With one click, you can switch from logs to their corresponding traces. Never lose context again and resolve issues faster. Search your trace data using filters, groups, and free-text search to quickly pinpoint the problem. Reduce your costs by only sampling the data that you need. Sample traces according to languages, libraries and routes. Set data privacy rules for sensitive fields to be hidden within trace data or specific routes. Connect your everyday tools to your workflow. Logs, error tracking, external events API and more.

Squash latencies and detect bottlenecks. Debug errors. Join the rapidly growing community of businesses around the globe that are achieving a 20X ROI and value by adopting KloudMate compared to other observability platforms. Monitor critical metrics and dependencies quickly, and detect anomalies using alarms and issue trackers. Locate 'breakpoints' within your application development lifecycle to fix issues proactively. View service maps of every component within your application and discover intricate dependencies and interconnections. Track every request and operation to gain detailed visibility into performance metrics and execution paths. Unified Infrastructure Monitoring capabilities can be used to monitor metrics, regardless of whether it is a multi-cloud, private, hybrid or hybrid architecture. A complete system view will help you debug faster and more precisely. Identify and solve issues faster.

Phoenix is a free, open-source library for observability. It was designed to be used for experimentation, evaluation and troubleshooting. It allows AI engineers to visualize their data quickly, evaluate performance, track issues, and export the data to improve. Phoenix was built by Arize AI and a group of core contributors. Arize AI is the company behind AI Observability Platform, an industry-leading AI platform. Phoenix uses OpenTelemetry, OpenInference, and other instrumentation. The main Phoenix package arize-phoenix. We offer a variety of helper packages to suit specific use cases. Our semantic layer adds LLM telemetry into OpenTelemetry. Automatically instrumenting popular package. Phoenix's open source library supports tracing AI applications via manual instrumentation, or through integrations LlamaIndex Langchain OpenAI and others. LLM tracing records requests' paths as they propagate across multiple steps or components in an LLM application.

KitchenAI is an API framework for developers that simplifies the conversion of AI Jupyter Notebooks to production-ready APIs. It bridges the divide between AI developers and application developers and infrastructure developers. It provides a fully-featured API server with default route, a command line interface for quick setup and an extensible plug-in framework. This design allows users to create multiple AI techniques, test and iterate quickly, and seamlessly build their work. KitchenAI allows AI developers to scale within familiar environments and convert notebooks into robust apps. Application developers can benefit from intuitive tools and SDKs that allow for the integration of AI via simple APIs. This allows for quick testing in order to determine which AI techniques are best suited for their applications. Infrastructure developers can integrate AI tooling.

ObservIQ provides telemetry solutions that are highly efficient and easy to use to power world-class observation. We are experts in building observability data pipelines that can be used by global IT leaders. You will have the highest quality, high-fidelity telemetry data available at scale thanks to our uncompromising performance and ease of usage. Open-source telemetry is key to innovation and ecosystem expansion. Open source observability allows end users and partners to have greater control, choice, interoperability, and control over their data. ObservIQ is a key contributor to the rapidly growing OpenTelemetry project. OpenTelemetry has become easier and more efficient thanks to our contributions of logging, metric receivers and the BindPlaneOP observation pipeline. We are a major contributor to the community and work together to create a vibrant, growing ecosystem.

JavaScript is a web scripting language and programming language that allows developers to create dynamic elements on the internet. Client-side JavaScript is used by over 97% of all websites. JavaScript is the most popular scripting language on the internet.

C++ is a simple language with clear expressions. ...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. C++'s simplified input/output interface and incorporation of the standard library of templates make data manipulation and communication much easier than in C. It is a programming model in which each component is treated as an object. This replaces or complements the structured programming paradigm that focuses on procedures and parameters.

Amplication AI allows you to easily create new services and extend existing applications. From idea to production within four minutes. AI assistant that generates production ready code, ensuring consistency and predictability. With production-ready code built for scale, you can go from concept to deployment within minutes. Amplication's AI provides more than just prototypes. Get fully operational, robust services that are ready to go live. Streamline your development workflows to reduce time and optimize resources. With the power of AI, you can do more with your existing resources. Jovu will translate your requirements into code components that are ready to use. Data models, APIs and other components that are ready for production, including authentication, authorization and event-driven architecture. Add architecture components and integrations, and extend Amplication plugins.

Small Hours is a platform powered by AI that helps identify the root cause of server exceptions, analyze their impact, and assign them to the appropriate person or team. Use Markdown to guide our assistant when debugging issues. OpenTelemetry is supported for seamless integration. Hook into alarms to identify critical issues. Connect your codebases to runbooks and use them as context and instructions. Your code and data is never stored. Intelligently triage issues, and generate pull requests. Optimized to enterprise scale and velocity. Automated 24/7 root cause analysis to minimize downtime and maximize efficiency.

AI engineering does not have to be a mystery. You can get full visibility using tools for tracing and evaluation, prompt management and more. HoneyHive is a platform for AI observability, evaluation and team collaboration that helps teams build reliable generative AI applications. It provides tools for evaluating and testing AI models and monitoring them, allowing engineers, product managers and domain experts to work together effectively. Measure the quality of large test suites in order to identify improvements and regressions at each iteration. Track usage, feedback and quality at a large scale to identify issues and drive continuous improvements. HoneyHive offers flexibility and scalability for diverse organizational needs. It supports integration with different model providers and frameworks. It is ideal for teams who want to ensure the performance and quality of their AI agents. It provides a unified platform that allows for evaluation, monitoring and prompt management.

Quarkus will tailor your application for GraalVM or HotSpot. Amazingly fast boot time and extremely low RSS memory (not just heap sizes!) It allows for near-instant scale-up and high-density memory usage in container orchestration platforms such as Kubernetes. We use a technique we call compile time boot. Quarkus is a full-stack framework that is cohesive, fun to use, and makes use of a growing number of best-of-breed library libraries. Unified configuration and native executable generation are the key to optimizing developer joy. Zero configurations, live reload within a blink of an eye, and simplified code for the 80% most common uses, while remaining flexible for the 20% remainder. Combining Quarkus with Kubernetes creates an ideal environment to create lightweight, scalable applications. Quarkus significantly improves developer productivity through tooling, prebuilt integrations, and application services.

Tool for monitoring application performance for distributed systems. Designed for microservices, container-based architectures (Kubernetes), cloud-native architectures and microservices. SkyWalking can collect and analyze 100+ billions of telemetry data. Support log formatting, extract metrics and various sampling policy through script pipeline with high performance. Support service-centric and API-centric alarm rules. Support for forwarding alarms, telemetry data and all to third party. Support for metrics, traces and logs of mature ecosystems such as e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd.

APM visibility simplified with high-definition leveraging real-user monitoring, synthetic monitoring and OpenTelemetry that is scalable, simple to use and deploy and unifies insights for end users, networks, applications and the cloud native ecosystem. Microservices deployed across dynamic cloud infrastructure in containers have created a transient and distributed environment on a massive scale. The old methods of scaling APM - sampled transactions, incomplete trace, and aggregate metrics - no longer work, and legacy APM fails to diagnose why critical business applications are still slow. The Riverbed platform provides unified visibility for the modern application ecosystem. It is easy to deploy, manage, and allows for faster troubleshooting of even the most difficult performance issues. Riverbed APM is fully adaptable to the cloud-native environment, delivering comprehensive monitoring for transactions running on modern app and cloud infrastructure.

Mirascope is a powerful, flexible and user-friendly library that simplifies the process of working with LLMs through a unified interface. It works across various supported providers including OpenAI, Anthropic Mistral Gemini Groq Cohere LiteLLM Azure AI Vertex AI and Bedrock. Mirascope is a flexible, powerful and user-friendly LLM library that simplifies working with LLMs. It has a unified interface and works across multiple supported providers including OpenAI, Anthropic Mistral, Gemini Groq Cohere LiteLLM Azure AI Vertex AI and Bedrock. Mirascope is a powerful and flexible library that allows you to create robust, powerful applications. Mirascope's response models allow you to structure the output of LLMs and validate it. This feature is especially useful when you want to make sure that the LLM response follows a certain format or contains specific fields.