Prometheus

We use Prometheus to scrape metrics from our Linux servers, Kubernetes clusters, Docker containers, and cloud infrastructure. Our development teams instrument custom applications using Prometheus client libraries (Python, Go, Java) to expose application-specific metrics such as request latency, error rates, and queue lengths. Prometheus also works in tandem with Alertmanager to send alerts to our on-call engineers via Slack, PagerDuty, and email.

• Improved System Reliability and Uptime
• Faster Incident Response and MTTR
• Lack of Built-In Security or Multi-Tenancy

Elasticsearch, Redis Software, Cortex and Zabbix

Elasticsearch, Datadog, Zabbix

We use Prometheus as data metric collection source of our systems' many software services. Each service has their own Prometheus instances created to collect specific metrics. The metrics are displayed and manipulated in Grafana using the Prometheus data source. Prometheus supports these Grafana dashboard displays to aid system monitoring, performance troubleshooting, and statistics.

• Universal Integration
• Shareable data sources
• Best for quantifiable metrics

• Customer desires to see metric products which Prometheus directly supports
• Most developers use Prometheus for service management anyways
• Provides great value at every product level for internal and external use

Grafana Loki, Grafana and Prometheus

Grafana, Grafana Loki, Prometheus

We primarily use Prometheus for metrics and alerting.

We use Prometheus to monitor http endpoints of our services and provide real time metrics such as how many 2xx responses in last 5 minutes out of total responses for a particular endpoint and how many 5xx responses for the same period.

This helps us keep a watch on error rates and we also have alert rules defined in Prometheus such as if 5xx responses increase beyond 80% in last 5 minutes then fire an alert.

It is solving the problem of getting to know when something wrong happens on production so that we can respond to it and fix it immediately.

It also provides us with useful metrics regarding the performance of our endpoints.

This ensures higher uptime of the services and fewer issues reported by the clients.

• Prometheus helps us in monitoring our error volumes and alerting when it goes beyond a threshold so that we can early detect any issues and fix them before users report it.
• It helps us in reducing our time to detect and adhere to our uptime commitment of 99.9 %
• Prometheus helps us setting up different rules for different endpoints so that we can make sure critical functionality is not affected and we're able to come to action if any anomaly is detected in let's say order submission endpoint.
• Prometheus would fire an alert in such a scenario.
• We've been able to achieve Mean Time To Detect(MTTD) of 15 minutes because of Prometheus based alerts.

Grafana

We use Prometheus for on prem applications currently to monitor baseline monitors which includes CPU, Memory, Disk Space. Since on prem applications either will stay on prem or will be moved to cloud in later part, as a solution we had Prometheus which proved to be cost effective to monitor those.

• Well it help us to reduce user impacts which all observability tool does

Datadog, Catchpoint, Kibana and OpenText SiteScope

Datadog, Catchpoint, Kibana, OpenTelemetry

Prometheus has been a program that has supported us for a long time with multiple solutions and resources for our data; since we have installed this program, we can say that we operate with more professionalism and security since this software gives us the right tools for our nonsense within the digital world.

• The most relevant data of my company may be constantly shared with authorized personnel for this; this program allows us to be united and organized.
• Without hesitation, I have had the most outstanding growth and performance in my job since Prometheus gives me a pleasant command of all my work projects.

• Thanks to the support we receive from Prometheus, we can say that business processes and scenarios are properly handled by the infrastructure and base with which it was created.
• There are many functions that we can give our master data, from sharing it to archiving it in a safe and unreliable space to work.

KACE Cloud Mobile Device Manager (MDM), Kalido MDM, Oracle Utilities Meter Data Management (MDM)