Search Results for "system monitoring center" - Page 4
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Showing 3851 open source projects for "system monitoring center"
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Venn is a secure workspace for remote work that isolates and protects work from any personal use on the same computer. Work lives in a secure local enclave that is company controlled, where all data is encrypted and access is managed. Within the enclave – visually indicated by the Blue Border around these applications – business activity is walled off from anything that happens on the personal side. As a result, work and personal uses can now safely coexist on the same computer.
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ConnectWise CPQ, formerly ConnectWise Sell, is a professional quote and proposal automation software for IT solution providers. ConnectWise CPQ offers a wide range of tools that enables IT solution providers to save time, quote more, and win big. Top features include professional quote or proposal templates, product catalog and sourcing, workflow automation, sales reporting, and integrations with best-in-breed solutions like Cisco, Dell, HP, and Salesforce.
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PULSAR
Distributed pub-sub messaging system
... durability guarantees. Configurable replication between data centers across multiple geographic regions. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Flexible messaging models with high-level APIs for Java, Go, Python, C++, Node.js, WebSocket and C#. -
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Spring Boot Admin
Admin UI for administration of spring boot applications
... is capable of running as servlet or webflux application, you need to decide on this and add the according Spring Boot Starter. Monitoring Python applications is available using Pyctuator. If you want to use a snapshot version of Spring Boot Admin Server you most likely need to include the spring and sonatype snapshot repositories. Each application that wants to register has to include the Spring Boot Admin Client. -
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Apache RocketMQ
Distributed messaging and streaming platform with low latency
...-in message tracing capability, also support opentracing. Versatile big-data and streaming ecosytem integration. Message retroactivity by time or offset. Reliable FIFO and strict ordered messaging in the same queue. Efficient pull and push consumption model. Million-level message accumulation capacity in a single queue. Multiple messaging protocols like JMS and OpenMessaging. Flexible distributed scale-out deployment architecture. Lightning-fast batch message exchange system. -
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EvaDB
Database system for building simpler and faster AI-powered application
... people who are experts in other domains from benefiting from these models. Running these deep learning models on large document or video datasets is costly and time-consuming. For example, the state-of-the-art object detection model takes multiple GPU years to process just a week’s videos from a single traffic monitoring camera. Besides the money spent on hardware, these models also increase the time that you spend waiting for the model inference to finish. -
Speedy Claims became the top CMS-1500 Software by providing the best customer service imaginable to our thousands of clients all over America. Medical billing isn't the kind of thing most people get excited about - it is just a tedious task you have to do. But while it will never be a fun task, it doesn't have to be as difficult or time consumimg as it is now. With Speedy Claims CMS-1500 software you can get the job done quickly and easily, allowing you to focus on the things you love about your job, like helping patients. With a simple interface, powerful features to eliminate repetitive work, and unrivaled customer support, it's simply the best HCFA 1500 software available on the market. A powerful built-in error checking helps ensure your HCFA 1500 form is complete and correctly filled out, preventing CMS-1500 claims from being denied.
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JVM Sandbox
Real-time non-invasive AOP framework container based on JVM
JVM sandbox container, a JVM non-invasive runtime AOP solution. Real-time non-invasive AOP framework container based on JVM. Dynamically enhance the class you specify, get the parameters and line information you want, and even change the method execution. JVM-SANDBOX (sandbox) implements an AOP solution that does not restart or invade the target JVM application. Static knitting occurs when the bytecode is generated, and the AOP bytecode is inserted into the target class and method in advance... -
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Druid
Database connection pool written in Java
Druid is an open-source database connection pool written in Java. Druid is able to provide an extensive number of powerful monitoring functionalities for database connection. Druid has been deployed to the maven central repository. Druid provides a monitoring feature that can be implemented through filter-chain. It also comes with WallFilter, that is based on the SQL semantic analysis to protect from SQL injection attacks. Monitor connection leaks and connect to other databases, like Oracle... -
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Datadog Client Libraries for Go
Datadog Go Library including APM tracing, profiling, and security
Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions. Navigate directly from investigating a slow trace to identifying the specific... -
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dockprom
Docker hosts and containers monitoring with Prometheus, Grafana, etc.
A monitoring solution for Docker hosts and containers with Prometheus, Grafana, cAdvisor, NodeExporter and alerting with AlertManager. You can change the credentials in the compose file or by supplying the ADMIN_USER and ADMIN_PASSWORD environment variables on compose up. Grafana is preconfigured with dashboards and Prometheus as the default data source. The Docker Host Dashboard shows key metrics for monitoring the resource usage of your server. Server uptime, CPU idle percent, number of CPU... -
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apm-agent-java
Elastic APM Java Agent
Elastic APM Java Agent. Using the -javaagent option is the most common way to set up Java agents on a JVM. -
Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
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apm-agent-dotnet
Elastic APM .NET Agent
Elastic APM .NET Agent. The agent can automatically instrument .NET Framework, .NET Core, and .NET applications using the .NET CLR Profiling APIs. The Profiling APIs provide a way to instrument an application or dependency code without code changes. -
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Flashlight Android
Audits your app and gives a performance score to your Android apps
Audits your app and gives a performance score to your Android apps (native, React Native, Flutter..). Measure performance on CLI, E2E tests, CI. -
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dd-trace
JavaScript APM Tracer
dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off to a process that collects and aggregates the data, called an Agent. Finally, the data is sent off to the Datadog servers where it's stored and made available for querying in a myriad of ways, such as displaying in a dashboard or triggering alerts. -
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Sentinel
Lightweight, powerful flow control component
Sentinel is a powerful flow control component that ensures the reliability and monitoring of microservices by taking “flow” as the breakthrough point. It covers multiple fields including flow control, concurrency limiting, circuit breaking, and adaptive system protection. -
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gruntwork.io website
The gruntwork.io website
The Gruntwork team deploys a Reference Architecture for you, setting you up with all the foundational pieces you need to get started with AWS and Terraform, including your Landing Zone, network topology, CI / CD pipeline, guard rails, monitoring, out-of-the-box compliance, and more. Use the Gruntwork Infrastructure as Code Library (IaC Library), a collection of reusable Terraform code that has been proven in production at hundreds of companies, to deploy the rest of your infrastructure... -
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Robusta
Kubernetes observability and automation
Keep your Kubernetes microservices up and running. Connect your existing Prometheus, gain 360° observability. Robusta is both an automation engine for Kubernetes and a multi-cluster observability platform. Robusta is commonly used alongside Prometheus, but other tools are supported too. By listening to all the events in your cluster, Robusta can tell you why alerts fired, what happened at the same time, and what you can do about it. Robusta can either improve your existing alerts or be used... -
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Jaeger UI
Web UI for Jaeger
Visualize distributed tracing with Jaeger. Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors... -
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Crystal
The crystal programming language
... between the type and nil. As a consequence, the compiler will automatically check for null references in compile time, helping prevent the dreadful billion-dollar mistake. Crystal’s answer to metaprogramming is a powerful macro system, which ranges from basic templating and AST inspection, to types inspection and running arbitrary external programs. Crystal uses green threads, called fibers, to achieve concurrency. Fibers communicate with each other using channels, as in Go or Clojure. -
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EaseAgent
An agent component for the Java system
A lightweight & opening Java Agent for Cloud-Native and APM system. EaseAgent is the underlying component that provides non-intrusive extensions to applications of the Java ecosystem. EaseAgent can collect distributed application tracing, metrics, and logs, which could be used in the APM system and improve the observability of a distributed system. for the tracing, EaseAgent follows the Google Dapper paper. EaseAgent also can work with Cloud-Native architecture. For example, it can help Service... -
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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WALA
Libraries for Analysis, with frontends for Java, Android, and JS
The T. J. Watson Libraries for Analysis (WALA) provide static analysis capabilities for Java bytecode and related languages and for JavaScript. The system is licensed under the Eclipse Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open-source license. The initial WALA infrastructure was independently developed as part of the DOMO research project at the IBM T.J. Watson Research Center. In 2006, IBM donated the software to the community... -
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Hubble
Network, Service & Security Observability for Kubernetes using eBPF
Hubble is a fully distributed networking and security observability platform for cloud native workloads. It is built on top of Cilium and eBPF to enable deep visibility into the communication and behavior of services as well as the networking infrastructure in a completely transparent manner. The Linux kernel technology eBPF is enabling visibility into systems and applications at a granularity and efficiency that was not possible before. It does so in a completely transparent way, without... -
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Tetragon
eBPF-based Security Observability and Runtime Enforcement
Tetragon is a flexible Kubernetes-aware security observability and runtime enforcement tool that applies policy and filtering directly with eBPF, allowing for reduced observation overhead, tracking of any process, and real-time enforcement of policies. Observe the complete lifecycle of every process on your machine with Kubernetes context awareness. Translate high-level policies for file monitoring, network observability, container security, and more into low-overhead eBPF programs. Synchronous... -
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LangKit
An open-source toolkit for monitoring Language Learning Models (LLMs)
LangKit is an open-source text metrics toolkit for monitoring language models. It offers an array of methods for extracting relevant signals from the input and/or output text, which are compatible with the open-source data logging library whylogs. Productionizing language models, including LLMs, comes with a range of risks due to the infinite amount of input combinations, which can elicit an infinite amount of outputs. The unstructured nature of text poses a challenge in the ML observability... -
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Elastic APM Node.js Agent
Elastic APM Node.js Agent
This is the official Node.js application performance monitoring (APM) agent for the Elastic Observability solution. It is a Node.js package that runs with your Node.js application to automatically capture errors, tracing data, and performance metrics. APM data is sent to your Elastic Observability deployment -- hosted in Elastic's cloud or in your own on-premises deployment -- where you can monitor your application, create alerts, and quick identify root causes of service issues. First, you... -
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APM Server
APM Server
Elastic APM is an application performance monitoring system built on the Elastic Stack. It allows you to monitor software services and applications in real-time, by collecting detailed performance information on response time for incoming requests, database queries, calls to caches, external HTTP requests, and more. This makes it easy to pinpoint and fix performance problems quickly. Elastic APM also automatically collects unhandled errors and exceptions. Errors are grouped based primarily...