IBM Cloud Monitoring
You've adopted cloud architecture, yet its intricate nature poses challenges for effective monitoring. The IBM Cloud Monitoring service offers a fully managed solution designed specifically for administrators, DevOps teams, and developers alike. Anticipate in-depth visibility into containers and an array of comprehensive metrics. By utilizing this service, you can lower costs while empowering your DevOps teams and improving the management of the software lifecycle. Set up a cluster to relay metrics to the IBM Cloud Monitoring service seamlessly within the IBM Cloud environment. This enhancement boosts the productivity of system administrators, DevOps professionals, and developers, providing timely notifications regarding various metrics and events. Leverage intuitive dashboards that allow you to assess the health of your entire infrastructure effortlessly. Moreover, you can dynamically discover applications, containers, hosts, and networks while displaying content and controlling access based on specific users or teams. Additionally, configure an Ubuntu host to send metrics directly to the IBM Cloud Monitoring service, ensuring thorough cloud monitoring and troubleshooting across your infrastructure, cloud services, and applications. Ultimately, this service is essential for maintaining optimal performance and reliability in complex cloud environments.
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Paessler PRTG
Paessler PRTG is an all-inclusive monitoring solution with an intuitive, user-friendly interface powered by a cutting-edge monitoring engine. It optimizes connections and workloads, reduces operational costs, and prevents outages. It also saves time and controls service level agreements (SLAs). This solution includes specialized monitoring features such as flexible alerting, cluster failover, distributed monitoring, maps, dashboards, and in-depth reporting.
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AdRem NetCrunch
NetCrunch runs on Windows Server (virtual or physical) and allows for efficient, agentless network monitoring, network visibility and advanced alert and remediation action management system. It can monitor practically any device, system or data source in your network, as non standard data can be pushed to NetCrunch or read from log, file or database to be included in NetCrunch network atlas.
Developed by AdRem Software, NetCrunch includes 540+ predefined monitoring packs and ready to use sensors to track and troubleshoot network services uptime, performance of switches, routers, storage devices and applications, cloud services, bandwidth, and traffic flow. AdRem NetCrunch supports monitoring of all major OS types, such as Linux, Windows, VMWare ESX/ESXi, Mac OS X, and BSD.
It allows creating all types of live network maps, performance charts, flexible dashboards and graphical views that are updated automatically, displaying live status of any monitored device, connection link, metric or alert.
Data collected by NetCrunch can be shared securely via web console or any of over 30 ready to use integrations with most popular help desk systems (Jira, Freshdesk) or group collaboration (Slack, MS Teams, PagerDuty, Trello).
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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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