Best Network Monitoring Software for Checkly

PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.

Remain vigilant and proactive in managing all Development and Operations incidents. Promptly inform the appropriate personnel, minimize response time, and prevent alert fatigue. Opsgenie serves as a contemporary incident management solution, guaranteeing that significant incidents are not overlooked and that the right actions are executed swiftly by the designated team members. The platform collects alerts from your monitoring tools and custom applications, organizing each notification by relevance and urgency. On-call schedules are established to ensure that the appropriate individuals are alerted through various communication methods, including phone calls, emails, SMS, and mobile push notifications. If an alert goes unacknowledged, Opsgenie automatically escalates the situation, ensuring that the incident receives the necessary focus and intervention. Take advantage of an instant free trial to explore its capabilities. By utilizing Opsgenie, teams can enhance their incident response strategy and foster a more efficient operational environment.

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fsourceforge.net%2Fprojects%2Fprometheus.mirror%2F

Enhance team efficiency by directing alerts to the appropriate individuals, facilitating swift collaboration and resolution of issues. By ensuring that alerts reach the right recipients, you can minimize the time taken to acknowledge and rectify incidents. Our complete ChatOps experience seamlessly integrates with your existing tools, offering incident timelines and reporting functionalities that support blameless post-incident analysis. Foster engagement by meeting individuals in their work environments; our mobile-first solutions utilize machine learning to provide on-call accessibility from any location. Splunk On-Call streamlines incident management processes, alleviating alert fatigue and promoting higher uptime rates. Utilize Splunk On-Call to optimize your on-call schedules and escalation frameworks, automating everything from rotations to overrides. Our platform delivers contextual alert details, machine learning-based suggestions, and enhances collaboration to efficiently tackle issues, all while meticulously documenting crucial remediation information for future reference. This allows teams to not only resolve incidents promptly but also to learn from them to improve future responses.