
Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
TriggerDeck.io
Zabbix
TriggerDeck is an iPhone app for teams running Zabbix-based monitoring environments. It brings the workflows operators actually need on mobile into a focused, fast interface built for incident response and everyday monitoring.
With TriggerDeck, teams can:
TriggerDeck is designed for sysadmins, SREs, DevOps teams, NOC operators, and IT operations leads who need reliable visibility while away from their desks. Instead of forcing a desktop workflow onto a phone, it focuses on fast triage, clear navigation, and the monitoring information that matters most in the moment.
The product is especially well suited to teams that want:
TriggerDeck supports modern Zabbix environments and is built specifically for secure, practical monitoring workflows on iOS.
Prometheus
TriggerDeck.ioNo TriggerDeck.io videos yet. You could help us improve this page by suggesting one.
TriggerDeck.io's answer:
TriggerDeck does not publicly disclose customer names at this stage.
TriggerDeck.io's answer:
Teams should choose TriggerDeck when they want a mobile-first Zabbix experience without giving a third-party backend access to their monitoring credentials. It is designed for fast triage on iPhone, supports multiple servers, and focuses on the workflows operators actually need on the go: active problems, details, hosts, items, charts, dashboards, and optional push notifications. The product is opinionated about security, clear data boundaries, and reducing friction between alert and action.
TriggerDeck.io's answer:
TriggerDeck is built around a strict trust model for Zabbix environments: the iPhone app connects directly to the customer’s Zabbix API. Using our integration service its able to deliver Push notifications from Zabbix directly to your iPhone. This gives teams secure mobile access to problems, hosts, items, charts, and dashboards without introducing a hosted read
TriggerDeck.io's answer:
TriggerDeck is built primarily with Swift 6, SwiftUI, Swift Charts, URLSession with async/await, SwiftData, and Keychain on iOS.
TriggerDeck.io's answer:
TriggerDeck is built for teams that run their own Zabbix-based monitoring environments. The primary audience includes IT operations teams, sysadmins, SREs, DevOps and platform engineers, NOC operators, and technical leads who need secure mobile visibility into infrastructure and incident state while away from their desks.
TriggerDeck.io's answer:
TriggerDeck was created to solve a specific gap in the Zabbix ecosystem: mobile access often becomes less trustworthy when it depends on a hosted proxy or external credential sharing. The product started from the idea that teams should be able to check monitoring data securely from an iPhone and get instant push delivery.
Based on our record, Prometheus seems to be more popular. It has been mentiond 300 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / 3 months ago
Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool — it's an ecosystem. - Source: dev.to / 3 months ago
To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / 3 months ago
In this post, we compare two forecasting models, Chronos (Chronos‑Bolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / 4 months ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 4 months ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers