Search results for Prometheo

Prometheus is an open-source systems monitoring and alerting toolkit designed for reliability and scalability. It collects and stores metrics as time series data, enabling real-time monitoring of applications, systems, and services. With its powerful query language, PromQL, users can analyze and visualize data effectively. Prometheus operates independently, requiring no external dependencies, and integrates seamlessly with various service discovery mechanisms, making it ideal for dynamic environments. Key Features and Functionality: - Dimensional Data Model: Prometheus organizes time series data using a flexible dimensional model, identifying each series by a metric name and a set of key-value pairs. - Powerful Query Language (PromQL): PromQL allows users to query, correlate, and transform time series data for visualizations, alerts, and more. - Precise Alerting: Alerting rules based on PromQL leverage the dimensional data model, with a separate Alertmanager component handling notifications and silencing. - Simple Operation: Prometheus servers function independently, relying solely on local storage. Developed in Go, the statically linked binaries are easy to deploy across various environments. - Instrumentation Libraries: A wide range of official and community-contributed libraries are available for instrumenting applications in most major programming languages. - Ubiquitous Integrations: Prometheus offers numerous integrations, facilitating easy extraction of metrics from existing systems. Primary Value and Problem Solved: Prometheus addresses the need for a robust, scalable, and flexible monitoring solution in modern, dynamic environments. Its ability to collect, store, and query time series data empowers organizations to gain real-time insights into their systems' performance and health. By providing precise alerting and seamless integration with various service discovery mechanisms, Prometheus ensures that issues are detected and addressed promptly, enhancing system reliability and operational efficiency.

HAProxy is an open-source software load balancer and reverse proxy for TCP, QUIC, and HTTP-based applications. It provides high availability, load balancing, and best-in-class SSL processing. HAProxy One is an application delivery and security platform that combines the HAProxy core with enterprise-grade security layers, management and orchestration, cloud-native integration, and more. Platform components: HAProxy Enterprise: a flexible data plane layer for TCP, UDP, QUIC, and HTTP-based applications that provides high-performance load balancing, high availability, an API/AI gateway, container networking, SSL processing, DDoS protection, bot detection and mitigation, global rate limiting, and a web application firewall (WAF). HAProxy Fusion: a scalable control plane that provides full-lifecycle management, observability, and automation of multi-cluster, multi-cloud, and multi-team HAProxy Enterprise deployments, with infrastructure integration for AWS, Kubernetes, Consul, and Prometheus. HAProxy Edge: a globally distributed application delivery network that provides fully managed application delivery and security services, a secure partition between external traffic and origin networks, and threat intelligence enhanced by machine learning that powers the security layers in HAProxy Fusion and HAProxy Enterprise. Learn more at HAProxy.com.

Always be ready to answer tomorrow’s questions today. Promethium is on a mission to help every business to be data driven by enabling every employee to make data driven decisions in real time without the technical complexity of data management. Promethium is the only SaaS-based data management solution that uses AI to answer questions for analytics. So you can spend your time taking action on insights Promethium automates data discovery, preparation, query and visualization without the need to move, migrate or ETL data.

Empower your Maintenance and Operations teams with a suite of integrated solutions that extend and enhance the functionality of your EAM, ERP, or CMMS.

Sysdig Monitor allows you to maximize the performance and availability of your cloud infrastructure, services, and applications. Built on open source, it provides immediate, deep visibility into rapidly changing container environments. You can resolve issues faster by using granular data derived from actual system calls enriched with cloud and Kubernetes context along with Prometheus metrics. Remove silos by unifying data across teams for hybrid and multi-cloud monitoring.

Promethean AI is world's first Artificial Intelligence that works together with Artists, assists them in the process of building virtual worlds, helps creative problem solving by suggesting ideas and takes on a lot of mundane and non-creative work so You can focus on what's important.

Google Cloud Managed Service for Prometheus is a fully managed, scalable monitoring solution that enables organizations to collect, store, and query Prometheus metrics without the operational overhead of managing the infrastructure. Built on Google's globally distributed Monarch database, it offers seamless integration with existing Prometheus ecosystems, allowing users to maintain their current dashboards, alerts, and workflows. This service supports hybrid and multi-cloud environments, providing a unified monitoring experience across diverse deployments. Key Features: - Fully Managed Infrastructure: Eliminates the need for manual management of Prometheus servers, offering automatic scaling, sharding, and maintenance. - Global Querying with PromQL: Supports Prometheus Query Language for querying metrics across all environments, ensuring compatibility with existing tools like Grafana. - Extended Data Retention: Provides a default two-year retention period for all metrics at no additional cost, facilitating long-term analysis and trend identification. - Hybrid and Multi-Cloud Support: Enables monitoring of workloads across on-premises, other cloud providers, and Google Cloud, ensuring comprehensive observability. - Cost-Effective Monitoring: Offers per-sample pricing, allowing organizations to pay only for the metrics they collect, with additional cost controls like customizable sampling periods and filters. Primary Value and Problem Solved: Google Cloud Managed Service for Prometheus addresses the complexities associated with scaling and managing Prometheus infrastructure. By offering a fully managed service, it frees organizations from the operational burden of maintaining Prometheus servers, ensuring high availability and reliability. The service's compatibility with existing Prometheus tools and its support for hybrid and multi-cloud environments provide a unified monitoring solution, enabling teams to focus on delivering value rather than managing infrastructure.

The Prometheus platform offers a complete customizable solution scalable to your organization’s needs related to data transformation (EDI, XML, Any-to-Any Translation), Managed File Transfer and Secure Communications, Full B2B Integration and, of course, our 25+ years of experience in providing full Managed EDI Services.

The Prometheus Operator, packaged by Bitnami, streamlines the deployment and management of Prometheus instances within Kubernetes environments. It simplifies monitoring configurations for Kubernetes services, enabling users to define and manage Prometheus setups using Kubernetes-native resources. This approach enhances the efficiency and scalability of monitoring solutions in cloud-native applications. Key Features and Functionality: - Kubernetes Custom Resources: Utilizes Kubernetes custom resources to deploy and manage Prometheus, Alertmanager, and related components, ensuring seamless integration with Kubernetes-native tools. - Simplified Deployment Configuration: Allows users to configure essential aspects of Prometheus, such as versions, persistence, retention policies, and replicas, directly through Kubernetes resources, reducing complexity in setup and maintenance. - Automated Service Discovery: Automatically generates monitoring target configurations based on Kubernetes label queries, eliminating the need to learn a Prometheus-specific configuration language and facilitating dynamic monitoring setups. Primary Value and Problem Solved: The Prometheus Operator addresses the challenges of deploying and managing monitoring systems in Kubernetes by providing a declarative approach to configure and operate Prometheus instances. It automates routine tasks, reduces manual configuration errors, and ensures that monitoring setups are consistent and scalable. This solution is particularly valuable for DevOps teams seeking to implement robust monitoring practices without the overhead of complex configurations, thereby enhancing the observability and reliability of applications running in Kubernetes clusters.

Prometheus works well for recording any purely numeric time series. It fits both machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures. In a world of microservices, its support for multi-dimensional data collection and querying is a particular strength. Prometheus is designed for reliability, to be the system to go during an outage to allow for quickly diagnose problems. Each Prometheus server is standalone, not depending on network storage or other remote services. One can rely on it when other parts of infrastructure are broken, and do not need to setup extensive infrastructure to use it.

CloudThinker is an autonomous AI-powered cloud operations platform built for engineering teams that need to move fast without sacrificing reliability, security, or cost efficiency. Rather than another dashboard you have to interpret yourself, CloudThinker's AI agents work continuously across your stack, managing cloud resources, reviewing code, responding to incidents, and optimizing spend with minimal human intervention required. Six core platform modules: AI Code Review Agent — automated PR analysis for security vulnerabilities, logic errors, and performance issues, integrated into GitHub/GitLab Incident Response Agent — real-time detection, root cause analysis, and automated remediation via AI-driven runbooks, correlating logs, metrics, traces, and alerts Cloud Cost Optimization (FinOps Agent) — continuous spend analysis across AWS, Azure, GCP; identifies idle resources, oversized instances, and RI opportunities Security Monitoring Agent — continuous scanning for misconfigurations, exposed credentials, and IAM drift, mapped to CIS Benchmarks and SOC 2 Kubernetes Operations Agent — workload rightsizing, pod autoscaling, and automated remediation across EKS, AKS, GKE IT HelpDesk Automation Agent — resolves common employee requests, routes tickets, and provisions access Graduated Autonomy framework (a key differentiator): four configurable levels — Notify (AI observes only), Suggest (AI drafts recommendations, humans approve), Act with Approval (AI executes pending sign-off), and Autonomous (AI investigates, remediates, and verifies end-to-end) — configurable per agent, per environment, and per team role with RBAC governance. Integrations: 50+ pre-built connectors including AWS, Azure, GCP, Kubernetes, GitHub, GitLab, Slack, PagerDuty, Jira, Datadog, Prometheus, Grafana, Terraform, Pulumi, and ArgoCD — connects via API with no agents to install. Compliance & security: SOC 2 Type 1 and Type 2 certified. CloudThinker is also an AWS Partner (including AWS AI Services Competency) and is available directly on AWS Marketplace.

Prometeo Talent is a leading provider of high-quality HR & recruitment services, providing Recruiting, Staffing, and flexible Outsourcing solutions to hundreds of companies across the globe. We are the leaders in the Latin America Engineering & Tech recruiting space, focusing on finding, attracting, and hiring Top Talent to build robust and reliable teams. 📩 business@prometeotalent.com

PrometheusML is an AI-powered predictive maintenance platform designed to optimize the performance and longevity of batteries connected to the power grid. By leveraging advanced machine learning algorithms, it provides real-time tracking of battery degradation, enabling users to make informed decisions that enhance battery profitability and extend operational life. Key Features and Functionality: - State-of-Health (SOH) Degradation Tracking: Offers real-time monitoring to select optimal battery assets, ensuring efficient utilization. - Battery Lifetime Extension: Utilizes predictive maintenance strategies to decrease battery degradation by up to 30%, thereby prolonging battery life. - Profitability Maximization: Enhances battery lifetime revenue by up to 50% through optimized performance and maintenance schedules. - Chemistry-Agnostic Degradation Tracking: Provides accurate degradation estimates with error rates as low as 0.3%, applicable to any battery chemistry, accommodating both current and future technologies. - Adaptability to Real-World Conditions: Operates effectively under various real-world scenarios, including fluctuating current intensities, sudden surges, power demands, and temperature variations, without relying on ideal lab test conditions. - AI-Powered Individualized Estimations: Employs data-driven AI algorithms to model complex degradation patterns, offering individualized degradation estimations for each battery asset without the need for specific physical or chemical measurements. Primary Value and User Solutions: PrometheusML addresses the critical need for efficient battery management in power grid applications. By providing precise, real-time insights into battery health and performance, it empowers users to: - Optimize Asset Selection: Ensure the most suitable batteries are utilized for specific applications, enhancing overall system efficiency. - Extend Battery Lifespan: Implement maintenance strategies that reduce degradation, leading to longer operational periods and reduced replacement costs. - Increase Revenue: Maximize the financial returns from battery assets by improving performance and reliability, resulting in higher profitability. By integrating PrometheusML into their operations, users can achieve a more sustainable and cost-effective approach to battery management within the power grid infrastructure.

ItsCredible is a well funded blockchain technology company that is bringing the power of smart contracts to the world of documents (credentials, certificates, degrees, badges, offer letters, contracts, etc.). As digital documents have grown, so has forgery, tampering, and need for verification. We are solving the problem of trust and authenticity by giving an easy to use platform to issue various kinds of document on a blockchain. We are a product company, and have a B2B product which is itscredible, and a B2C product which is credulocker.com. We already have some very large customers – big universities like Sharda, publishers like SCHAND, schools like Prometheus, and hundreds more. We are rapidly growing!

SoftDoes is the engineering partner for organizations running mission-critical systems. We deliver results without the fluff — scalable architectures, production-ready AI, and enterprise-grade cloud solutions. With nearly a decade of experience and 350+ projects delivered, our engineers know how to solve complex technical challenges, optimize performance, and accelerate innovation. From custom software development and UI/UX design to managed cloud infrastructure and AI/ML solutions, we build technology that lasts. We stay ahead of the curve with modern toolchains — Infrastructure-as-Code (Terraform, Pulumi), container orchestration (Kubernetes, Docker), CI/CD automation (GitHub Actions, ArgoCD), and observability stacks (Prometheus, Grafana, OpenTelemetry). This ensures transparency, reliability, and measurable outcomes for every client. If you want technology that works at scale — no gimmicks, no excuses — we’re your team. Ready to architect the next phase of your business? Let’s build it.

Prometheus covers two buyers. Gym and studio operators get front desk, member check-in, classes, memberships, point of sale, staff shifts with payroll export and accounting, from €149 a month. Personal trainers and online coaches get programming, nutrition plans with macro targets, video review with drawn annotations, video calls, messaging and invoicing, from $19 a month by client count. Clients and members use a free iOS and Android app. Built by Peakforce OÜ in Tallinn, founded by IPF world champion and strength coach Daniele Pauli.

The Bitnami Helm Chart for Thanos provides a secure, up-to-date, and ready-to-deploy solution for Kubernetes environments. Thanos is an open-source, highly available metrics system that extends existing Prometheus deployments, enabling a global query view across all Prometheus instances. This integration enhances monitoring capabilities by offering long-term storage, deduplication, and seamless scaling of metrics data. Key Features and Functionality: - Global Query View: Aggregates data from multiple Prometheus instances, providing a unified view of metrics across diverse environments. - Long-Term Storage: Facilitates efficient storage of historical metrics data, ensuring data retention and accessibility over extended periods. - Deduplication: Eliminates redundant data points, optimizing storage and improving query performance. - Scalability: Supports horizontal scaling, allowing the monitoring system to grow alongside infrastructure needs. - Kubernetes Integration: Designed for seamless deployment on Kubernetes clusters using Helm, simplifying installation and management processes. Primary Value and User Solutions: The Bitnami Helm Chart for Thanos addresses the challenges of scaling and managing Prometheus-based monitoring systems. By providing a global view of metrics, long-term storage, and data deduplication, it ensures that organizations can maintain a reliable and efficient monitoring infrastructure. This solution is particularly beneficial for teams operating in dynamic, multi-cluster environments, as it simplifies the complexities associated with monitoring large-scale systems.

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