Search results for OpenRole

Modaal is a macOS app for building production-ready native mobile apps with AI. Unlike tools that generate cross-platform wrappers, Modaal produces real Swift/SwiftUI for iOS and real Kotlin/Compose for Android — code you own, export, and ship to the App Store and Google Play. It's built around a PRD-driven workflow with senior mobile architecture enforced at every step, so the output scales past the prototype stage instead of collapsing under its own weight. iOS is generally available; Android is in open beta, with general availability in September 2026. Key Features and Functionality: =Truly native output, both platforms: Swift + SwiftUI for iPhone, iPad, and Apple Watch; Kotlin + Compose for Android (open beta, GA September 2026). Each platform gets a fully native, HIG- and Material-compliant UI — Liquid Glass on iOS, Material on Android. = Modaal Duet: A shared business-core framework guaranteeing that iOS and Android behave identically. Anything that works on one platform works the same on the other, with native shells on top. Build once, ship two genuinely native apps. Currently available in the Android open beta. = Bring your own AI agent: Works with 13 build agents including Claude Agent, Codex CLI, Cursor, Gemini CLI, GitHub Copilot CLI, Cline, and OpenCode. No per-token markup, no vendor lock-in to a single model. = Architecture enforcement: A PRD-first workflow and architectural guardrails mean generated code follows real app structure — not throwaway demo code that has to be rewritten before launch. = Project templates: Start from a template via the New Project wizard, including a 2D game / interactive app template built on SpriteKit. = Distribution built in: TestFlight and App Store submission, Google Play publishing, and Git integration for team collaboration. = Full code ownership: Export your codebase at any time. No proprietary runtime, no platform dependency. = Free tier, no card required: One active project, unlimited prompts with no message caps, your choice of iOS or Android, native builds, and code export — free forever.

The SureSMS platform is the quick and easy solution to send your messages worldwide in seconds. SureSMS offers easy to use SMS sending and receiving solutions at the cutting edge of technology. The very powerfull SMS gateway can send from 1 to millions of messages each day, reaching every phone in the world. You can use it for groups, marketing departments to communication agencies and IT companies. Keep your costumers loyal or get new customers through SMS with delivery notification and open-rates. SureSMS support HLR Lookup to validate a mobile line in real-time and inbound SMS for receiving SMS and acting automated to them. Send and track you messages easy with SureSMS.

OrbOps AI is an agentic infrastructure operations platform built for DevOps, Platform Engineering, SRE, Cloud, and Security teams managing modern cloud-native environments. OrbOps AI brings together operational context from source code, CI/CD pipelines, cloud infrastructure, Kubernetes, Infrastructure as Code, observability, security, identity, and cost-management systems. Its specialist AI agents help teams understand what is happening across their infrastructure, investigate issues, prepare actions, and automate repetitive operational workflows while keeping humans and policy in control of critical decisions. Unlike a generic AI chatbot, OrbOps AI uses specialized agents designed for different infrastructure responsibilities, including software delivery, incident management, on-call operations, infrastructure management, security, access governance, observability, and FinOps. Key capabilities include: • AI-assisted CI/CD and software delivery • Repository and application architecture understanding • Infrastructure and service autodiscovery • Incident investigation and root-cause assistance • Alert correlation and intelligent on-call workflows • Infrastructure, Kubernetes, and cloud operations • Security posture and operational risk analysis • Identity, access, and governance workflows • Cloud cost and FinOps analysis • Infrastructure as Code and deployment context • Evidence-backed recommendations and remediation plans OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify operating model. Agents can proactively collect evidence, analyze infrastructure context, identify possible issues, and prepare recommended actions. Organizations can define approval boundaries so production-impacting, security-sensitive, or high-risk actions remain under human or policy control. The platform is designed to work with the existing DevOps ecosystem rather than replacing it. OrbOps AI can operate across tools and technologies such as GitHub, GitLab, Jenkins, Terraform, Kubernetes, Docker, AWS, Google Cloud, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, Jira, Helm, Ansible, and related cloud, security, and observability platforms. OrbOps AI creates a shared operational context across applications and infrastructure. A code change can become a contextualized deployment plan, monitoring alerts can become an incident investigation brief, infrastructure resources can be mapped to services and owners, and security or cost signals can be evaluated alongside runtime and deployment context. The goal is to reduce the manual effort involved in switching between repositories, cloud consoles, dashboards, alerts, tickets, and runbooks just to understand what is happening. OrbOps AI helps engineering teams move toward agentic infrastructure operations where AI agents perform much of the investigation, correlation, planning, and repetitive operational work while engineers retain visibility, governance, and control over consequential decisions.

OpenServer is the Petex API Protocol (syntax) that allows third party programs (such as Excel, Visual Basic, etc.) to access public functions in IPM to automate data input and model calculations.

Obsivara is an AI observability and operations platform for teams running LLMs, AI agents, and automated workflows in production. It ingests traces via SDK, OpenTelemetry (OTLP), webhooks, or native n8n, then surfaces full execution traces, per-model/agent/workflow cost intelligence, continuous health scores, predictive failure alerts, a dependency knowledge map, and a weekly prioritized AI audit. Engineering and platform teams use Obsivara to see, debug, and control production AI catching silent failures, cutting token spend, and improving reliability before issues reach customers. Integrates with OpenAI, Anthropic, Google Gemini, LangChain, n8n, and OpenTelemetry. Free tier available

Sentry Software offers advanced monitoring solutions designed to ensure the health and performance of IT infrastructures, including servers and storage area networks . By leveraging OpenTelemetry, Sentry Software provides comprehensive observability across diverse systems, enabling organizations to proactively detect hardware failures, optimize resource utilization, and enhance sustainability initiatives. Their flagship product, Hardware Sentry, integrates seamlessly with major observability platforms, delivering real-time insights into hardware health and performance. Key Features and Functionality: - Comprehensive Hardware Monitoring: Hardware Sentry offers real-time monitoring of servers and storage devices, allowing organizations to detect hardware failures early and prevent business-impacting issues. - Vendor-Agnostic Integration: The solution supports a wide range of hardware vendors and models, enabling seamless integration into existing infrastructures without vendor lock-in. - Sustainability Metrics: Sentry Software provides tools to visualize thermal indicators, electricity costs, and carbon emissions, assisting organizations in reducing their environmental footprint and optimizing data center cooling costs. - Customizable Alerting: Users can set up tailored alerting rules to receive notifications about hardware failures, ensuring timely responses to potential issues. - OpenTelemetry Support: By utilizing OpenTelemetry, Sentry Software ensures compatibility with various observability platforms, facilitating flexible and scalable monitoring solutions. Primary Value and Problem Solved: Sentry Software addresses the critical need for proactive hardware monitoring and sustainability in IT operations. By providing real-time insights into hardware health and performance, organizations can prevent data loss, reduce downtime, and optimize resource utilization. Additionally, the solution aids in achieving sustainability goals by offering tools to monitor and reduce energy consumption and carbon emissions, aligning IT operations with environmental objectives.

Commerce Dot Com Sdn. Bhd. (CDC is a Malaysian government-linked company established in 1999, specializing in electronic procurement solutions. Its flagship product, ePerolehan, is one of the world's largest Government-to-Business (G2B marketplaces, connecting over 3,800 government agencies with more than 180,000 registered suppliers across Malaysia. This platform has significantly streamlined the government's procurement processes, handling over 2 million transactions annually, valued at more than RM21 billion. Key Features and Functionality: - Comprehensive Procurement Platform: ePerolehan offers an end-to-end electronic procurement system, facilitating seamless transactions between government agencies and suppliers. - Extensive User Base: The platform serves over 3,800 government agencies and has registered more than 180,000 supplier companies, creating a vast and dynamic marketplace. - High Transaction Volume: Annually, ePerolehan processes over 2 million transactions, amounting to more than RM21 billion, demonstrating its capacity to handle large-scale procurement activities efficiently. - Nationwide Reach: The system operates across all 16 states and federal territories in Malaysia, ensuring comprehensive coverage and accessibility. Primary Value and Solutions Provided: ePerolehan revolutionizes the Malaysian government's procurement process by digitizing and centralizing transactions, leading to increased efficiency, transparency, and accountability. For government agencies, it simplifies procurement procedures, reduces administrative burdens, and ensures compliance with procurement policies. Suppliers benefit from a streamlined process to offer their products and services to a broad range of government entities, expanding their market reach and business opportunities. Overall, ePerolehan contributes to the advancement of Malaysia's digital economy by fostering a more efficient and transparent public procurement environment.

LinkMesh is a self-hosted control plane for managing OpenTelemetry Collector and Grafana Alloy fleets. It helps platform, DevOps and observability teams configure collectors centrally, manage telemetry pipelines, filter and redact sensitive data before export, and route logs, metrics and traces to multiple observability backends. LinkMesh supports OpenTelemetry collectors through OpAMP and Grafana Alloy through remotecfg. Teams can drop, sample and aggregate telemetry, apply transformations, and route data by service, environment or tenant. The control plane runs in the customer’s infrastructure, with support for on-premises and air-gapped deployments. An optional onboarding agent discovers services and log sources and suggests pipeline configurations. Pricing is based on managed collectors rather than telemetry volume, with 25 collectors available free for evaluation. LinkMesh is built by OpenSight in Switzerland and is currently in early access.

epho is an API for running coding agents in the cloud. You send one POST request to /api/v1/chat with a prompt, a harness (claude for Claude Code, codex for Codex, or opencode for OpenCode) and a model. epho boots a sandbox with that harness installed, clones up to 32 Git repositories, stages up to 20 input files, connects your MCP servers and runs the agent. Tool calls, edits and the final answer stream back as server-sent events, and output files arrive as presigned artifacts. Chats are durable, so a follow-up prompt resumes in the same sandbox with the same checkout and agent session.

Maple is an open-source observability platform built natively on OpenTelemetry. It unifies distributed tracing, log management, metrics dashboards, error tracking, browser session replay, and alerting in a single interface. Logs correlate to traces automatically, a live service map surfaces bottlenecks, and an AI/MCP integration lets you query your telemetry in natural language. Flat per-GB pricing, no proprietary agents, and you can read the source. FEATURES • Unified Observability: Combines logs, metrics, traces, and error tracking into one simple dashboard. • Automatic Correlation: Links your logs and traces together automatically so you can find problems faster. • Service Mapping: Shows you a live map of your system to easily spot performance bottlenecks. • AI Querying: Lets you ask questions about your data using plain natural language. • Session Replay: Records browser sessions so you can see exactly what your users experienced. • Open Standards: Uses OpenTelemetry instead of proprietary agents so you aren't locked in. • Transparent Pricing: Charges a simple, flat rate based on data volume.

Aiden for Observability is StackGen's managed open-source observability platform with AI built in. It runs an OpenTelemetry-based stack on Grafana and Prometheus, unifying metrics, logs, traces and APM in one place for 50% less than legacy vendors. Aiden connects alerts to the deploys and changes behind them, so teams start from the cause instead of a queue. Key capabilities • Unified metrics, logs, traces and APM • 300+ out-of-the-box OpenTelemetry integrations, with pre-built Grafana dashboards and alerting rules • Alerts correlated with deployments and change events • Anomaly detection across metrics, logs and traces • Plain-English questions, dashboards and alerts, with no query language to learn • Telemetry answers inside VS Code, Cursor and Windsurf • Customer-facing dashboards to share curated views externally Deploy where your data has to live • Public cloud, private SaaS, on-premises or hybrid • Data residency in the region you choose • Open standards with no vendor lock-in • SOC 2 Type II certified Aiden for Observability is part of the StackGen platform, alongside Aiden for SRE, Aiden for DevOps, Aiden for InfraOps and Shipyard by StackGen.

Searchable Logs & Traces + Alerts So easy, junior can use Best price in the market Built on top of OpenTelemetry NodeJS, PHP, Python, .NET, Kubernetes...

See inside any stack. Full-stack observability. Metrics, traces, logs and LLM calls from any app, at any scale, anywhere. Built on OpenTelemetry and Prometheus. No vendor lock-in, ever.

OpenText™ Core Application Observability is a SaaS-based solution designed to provide comprehensive insights into both cloud-native and traditional applications. By leveraging the OpenTelemetry standard, it enables organizations to collect and analyze telemetry data—such as logs, metrics, and traces—without the constraints of vendor lock-in. This approach facilitates faster detection and resolution of performance issues, empowering IT operations teams, Site Reliability Engineers (SREs), and central IT staff to maintain optimal application performance. Key Features and Functionality: - Code-Level Trace Analysis: Visualizes microservice statuses and transaction latencies, aiding in the identification of performance bottlenecks. - Automatic Correlation of Metrics, Logs, and Traces: Integrates various telemetry data to provide root cause insights without the need to navigate multiple tools. - AI-Powered Anomaly Detection: Utilizes artificial intelligence to detect anomalies, uncovering hidden patterns and relationships that may not be evident through individual data analysis. - Service Mapping with Application Topology: Offers real-time visualization of application services, facilitating effective troubleshooting in dynamic cloud environments. Primary Value and Problem Solved: OpenText Core Application Observability addresses the challenge of monitoring and managing complex, distributed applications by providing a unified, vendor-neutral observability platform. Its integration with OpenTelemetry ensures flexibility and portability across various toolsets, enabling organizations to expand their observability coverage without disrupting existing processes. By delivering actionable insights and facilitating rapid root cause analysis, it helps reduce mean time to repair (MTTR), enhances application reliability, and supports cost-effective monitoring at scale.

Last9 is a telemetry data platform designed to provide high-cardinality observability at scale, offering a hassle-free and cost-effective solution for cloud-native monitoring. It seamlessly integrates metrics, events, logs, and traces into a unified interface, enabling engineering and DevOps teams to gain comprehensive visibility into their systems. Fully compatible with open standards like OpenTelemetry and Prometheus, Last9 simplifies the monitoring process without the complexities of managing multiple tools. Key Features and Functionality: - Unified Observability: Consolidates application and infrastructure metrics, events, logs, and traces into a single pane, facilitating efficient correlation and alerting. - Open Standards Compatibility: Supports OpenTelemetry and Prometheus, ensuring seamless integration with existing cloud-native environments. - Control Plane: Offers a developer-centric experience for data management, including access control, usage monitoring, and routing path definitions. - Instrumentation and Ingestion: Supports over 50 data sources, enabling real-time data manipulation and optimized cardinality during ingestion. - Storage: Provides granular data retention without sampling, accommodating both detailed and long-term historical data needs. - Query and Alerting: Delivers accelerated queries and purpose-built alerting mechanisms, transforming high-cardinality data into a valuable asset. Primary Value and Problem Solved: Last9 addresses the challenges of monitoring complex, distributed systems by offering a unified, high-fidelity observability experience. It eliminates the need for multiple monitoring tools, reducing operational overhead and costs. By efficiently handling high-cardinality data, Last9 empowers teams to proactively monitor customer impact, measure service level agreements with precision, and focus on delivering reliable software without the burden of managing intricate monitoring infrastructures.

Telemetry.dev is an OpenTelemetry-based observability platform for teams building LLM applications and AI agents. It connects instrumented model calls, tool steps and retrievals in a trace, with latency, reported errors, token usage and estimated cost. Teams can use its TypeScript and Python SDKs or an existing OTLP/HTTP exporter. A free plan is available.

AgentScreenshots gives AI coding agents a practical visual feedback loop for frontend development. The `agentshot` CLI captures screenshots of localhost, preview, staging, or production pages, saves PNGs into your project, and lets the agent inspect the rendered pixels before claiming the UI is done. It is built for Claude Code, Codex, Cursor, OpenCode, and other coding agents.

DinaBridge is a U.S.-based, remote-first infrastructure engineering consultancy specializing in search, observability, and security operations. We help organizations design, implement, migrate, and optimize production environments using Elastic, OpenSearch, Dynatrace, Grafana, and OpenTelemetry. Our delivery model provides access to senior engineers for implementation, architecture advisory, platform modernization, performance tuning, and operational enablement.

TruLens is an open-source library designed to evaluate and trace AI agents, including retrieval-augmented generation (RAG) systems and other large language model (LLM) applications. By integrating OpenTelemetry-based tracing with reliable evaluations, TruLens enables developers to objectively measure and enhance the quality and effectiveness of their AI agents. It supports a wide range of use cases, such as agents, summarization, and co-pilots, facilitating faster deployment of agentic workflows into production. Key Features and Functionality: - Comprehensive Evaluation Metrics: TruLens offers multiple feedback functions to assess critical components of an AI agent's execution flow, including: - Groundedness - Context Relevance - Coherence - Answer Relevance - Comprehensiveness - Detection of harmful or toxic language - User sentiment analysis - Language mismatch identification - Fairness and bias evaluation - Custom feedback functions as defined by the user - Interoperable Tracing: By emitting and evaluating OpenTelemetry traces, TruLens seamlessly integrates with existing observability stacks, providing detailed insights into agent workflows. - Scalable and Trusted Evaluations: TruLens provides benchmarked evaluations to assess agent performance, enabling developers to make informed decisions based on reliable metrics. - Extensible Feedback Library: Developers can leverage and contribute to an extensible library of built-in feedback functions, facilitating iterative improvements in prompts, hyperparameters, and overall application performance. - Dashboard and Comparison Tools: TruLens includes a comprehensive dashboard that allows for tracking multiple experiments, comparing different LLM applications on a metrics leaderboard, and identifying the best-performing versions of agents. Primary Value and Problem Solved: TruLens addresses the challenge of objectively evaluating and improving AI agents by providing a structured framework for assessment and iteration. It enables developers to move beyond subjective impressions ("vibes") to quantifiable metrics, ensuring that AI applications are reliable, effective, and ready for production deployment. By offering detailed insights into agent performance and facilitating rapid iteration, TruLens helps developers expedite the development cycle and scale up experiment evaluation, ultimately leading to more robust and trustworthy AI solutions.

Cardor offers a suite of innovative tools designed to enhance developer productivity and streamline workflows. Among its notable products is the agent-harness-kit, a command-line interface (CLI) tool that automates the creation of a production-ready multi-agent harness for any repository. By executing a single command, developers can generate a structured environment featuring an SQLite state, Model Context Protocol (MCP) tools, per-agent instruction files, health checks, and coordination rules. This setup addresses common challenges associated with AI coding agents, such as statelessness and lack of coordination, by providing persistent state management and clear role definitions for agents. The agent-harness-kit is compatible with platforms like Claude Code and OpenCode, and it operates without the need for external databases or Docker, making it accessible and efficient for developers. Key Features and Functionality: - Automated Multi-Agent Harness Creation: Generates a comprehensive multi-agent system infrastructure with a single command. - Persistent State Management: Utilizes SQLite to maintain state across sessions, ensuring agents have memory and context. - Role-Specific Agents: Includes predefined agents with distinct responsibilities: Lead, Explorer, Builder, and Reviewer, each with explicit permission boundaries. - Health Checks and Coordination Rules: Incorporates health check scripts and coordination rules to maintain system integrity and prevent conflicts. - Provider Agnostic: Compatible with various AI coding platforms, including Claude Code and OpenCode. - No External Dependencies: Operates without the need for external databases or Docker, simplifying setup and usage. Primary Value and Problem Solved: The agent-harness-kit addresses the core issues of statelessness and lack of coordination in AI coding agents. By providing a structured environment with persistent state management and clearly defined agent roles, it ensures that AI agents can work collaboratively and efficiently without overwriting each other's work or losing context between sessions. This leads to more reliable and trustworthy AI-assisted development processes, enhancing overall productivity and code quality.