
Runn is a real-time resource management platform with integrated time tracking and powerful forecasting capabilities.
Intuitively plan projects and schedule resources with allocations, project phases, milestones, and time off. Flick between monthly, quarterly and half-yearly views to plan for the short and long term. Get a dynamic bird’s-eye view of your entire organization to manage capacity, workload and availability changes as you create your plans.
Runn makes resource management dynamic and visual from a single, shared view. Drill into different roles, teams and tags to compare trends and understand which groups are overbooked. Plan out tentative projects to see how plans might change if work gets confirmed.
Track projects, view forecasts, and get relevant metrics within Runn. Get insights like utilization, project variance, and overall financial performance. Use Runn’s built-in timesheets to monitor project progress.
Runn integrates with Harvest, WorkflowMax, and Clockify. With the API, build your own integrations to connect Runn with your favorite tools.
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NeuBird AI is a Production Ops Platform designed for ITOps, SRE, and DevOps teams running production cloud environments. It uses agentic AI to move operations from reactive incident response to proactive, autonomous production management.
Despite significant investment in monitoring and observability tools, teams still face alert noise, slow root cause analysis, and costly incidents. NeuBird AI solves this by continuously analyzing telemetry across cloud services, applications, and infrastructure to prevent issues, resolve incidents faster, and optimize operations.
Prevent incidents before they happen
NeuBird AI detects early signals of degradation, configuration drift, and anomaly patterns across metrics, logs, traces, and change events. Teams can identify and address issues 30 to 60 minutes before user impact while reducing alert noise by more than 78 percent.
Resolve incidents in minutes
When incidents occur, NeuBird AI automatically investigates across Azure Monitor, Amazon CloudWatch, logs, metrics, traces, and recent changes to identify root cause in minutes. AI driven triage, correlation, and runbook generation reduce mean time to resolution by up to 60 percent while minimizing the need for large war room responses or bridge calls.
Optimize cost, performance, and operations
NeuBird AI continuously analyzes cloud environments to uncover cost savings, performance issues, and gaps in observability. It identifies right sizing opportunities, missing telemetry, and repetitive operational tasks, helping teams reclaim more than 200 engineering hours per month.
Built for production cloud operations
NeuBird AI integrates with AWS services including CloudWatch, as well as Kubernetes and Azure Monitor, and tools like Datadog, Splunk, and PagerDuty.
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Amazon CloudWatch
Amazon CloudWatch serves as a comprehensive monitoring and observability tool designed specifically for DevOps professionals, software developers, site reliability engineers, and IT administrators. This service equips users with essential data and actionable insights necessary for overseeing applications, reacting to performance shifts across systems, enhancing resource efficiency, and gaining an integrated perspective on operational health. By gathering monitoring and operational information in the forms of logs, metrics, and events, CloudWatch delivers a cohesive view of AWS resources, applications, and services, including those deployed on-premises. Users can leverage CloudWatch to identify unusual patterns within their environments, establish alerts, visualize logs alongside metrics, automate responses, troubleshoot problems, and unearth insights that contribute to application stability. Additionally, CloudWatch alarms continuously monitor your specified metric values against established thresholds or those generated through machine learning models to effectively spot any anomalous activities. This functionality ensures that users can maintain optimal performance and reliability across their systems.
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AtlasEVO Energy Monitoring System
Tailored specifically for extensive facilities, particularly those within the manufacturing or industrial realms, the AtlasEVO Energy Monitoring System is ideal for any location featuring multiple metering points. This innovative system provides essential data to help decrease energy consumption, carbon emissions, and operational costs, all conveniently accessible. It enables the tracking of electricity, gas, water, or any other metered resource, facilitating enhanced energy efficiency and a diminished environmental footprint across the entire site. Users can access both real-time and historical energy consumption data, allowing for a thorough analysis of energy use trends across various production lines, machinery, departments, and entire facilities. This system also sheds light on wasteful practices, outdated equipment, and areas with unexpected or excessive consumption. By identifying potential opportunities to reduce energy usage, cut down on carbon emissions, and lower expenses, organizations can take proactive measures to conserve energy and witness tangible results immediately. Moreover, it helps to ensure ongoing savings through the adoption of improved energy management practices, reinforcing the commitment to sustainability and cost-effectiveness.
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