Skip to content
ALL IT Agency
AI Lab
Contacts

Implementation of monitoring systems Prometheus, Grafana and real-time alerting

We ensure full transparency of server infrastructure, databases and applications. We configure metric collection in real time, centralized logging and multi-level alerting in Telegram/Slack/PagerDuty. Detect failures and performance drops before your clients notice them.

✓ Response in 15 seconds: automatic anomaly detection and alerts to on-call engineers
✓ Visualization in Grafana: custom business dashboards with RPS, order queues and latency
✓ Centralized log collection (Loki / ELK): immediate search for errors 500 among gigabytes of records
✓ Prevention of downtime: notifications about disk fullness and RAM leaks in advance
Prometheus & VictoriaMetrics Grafana Dashboards Grafana Loki & Promtail Alertmanager Node Exporter & Blackbox
Get commercial offer
Formats and pricing
ALL IT • SERVICE SPEC
SLA 99.9%
[ DevOps and Cloud Servers ] WARRANTY UNDER AGREEMENT
Real-time monitoring of production nodes

32 servers • 99.98% Uptime • Average API response time: 42ms • Zero critical incidents

⏱ Start: 1–3 days 🛡️ NDA: 100% SLA Warranty
📊
Prometheus 2.50
Metrics Collection 15s
⚡
Grafana Core
Interactive UI
🚨
Alertmanager
Telegram & Slack
📜
Loki Engine
Centralized logs
✓ Official contract with fixed cost of work
✓ 100% transfer of rights to code and configuration to the customer
✓ Assigned leading engineer and support 90 days
FULL TRANSFER OF RIGHTS CONTRACT + WARRANTY
[ BUSINESS VALUE OF MONITORING ]

Why blind server work costs companies millions of hryvnias

Monitoring system transforms the chaos of incidents into predictable and controlled stability

[ 01 ]

Immediate isolation of incident causes (MTTR < 10 min)

Instead of hours of manual reading server logs, the next engineer sees an accurate error spike graph and call stack for 2 clicks in Grafana.

[ 02 ]

Prevention of incidents before they occur

Predictive alerts notify the team when disk free space is exhausted or the database is approaching connection pool exhaustion.

[ 03 ]

Online monitoring of business metrics

Displaying the number of successful purchases, transaction volume, conversion rates, and delivery queues in one place along with server loading.

[ 04 ]

Justified scaling of resources

Precise historical data on CPU and RAM consumption shows which servers are overloaded, and where the business is paying for extra gigabytes.

[ Stages of Monitoring Implementation ]

What is included in the comprehensive setup of the monitoring system

Full integration of metrics stacks, centralized logging, and reliable alerting

[ STEP 01 ] Audit

Infrastructure audit and metrics map

Identify critical failure points (SPOF), compile a list of servers, databases, microservices, and agree on SLA/SLO thresholds.

[ STEP 02 ] Prometheus

Deployment of Prometheus / VictoriaMetrics

We install and optimize the time series database, configure exporters (Node Exporter, MySQL/PostgreSQL Exporter, Redis Exporter).

[ STEP 03 ] Logging

Configuring centralized logging for Grafana Loki

Connecting Promtail agents for collecting system logs, Nginx access logs, and application logs with secure indexing.

[ STEP 04 ] Grafana

Creation of informative Grafana dashboards

We are building visual interactive panels for developers, DevOps engineers and business leaders with filters by environments.

[ STEP 05 ] Alerting

Integration of Alertmanager and Communication Channels

We are writing rules for filtering false triggers, grouping messages and delivering them to Telegram, Slack, Opsgenie or SMS.

[ STEP 06 ] Testing

Testing of failure scenarios (Chaos Drills)

We simulate node failures, disk exhaustion and traffic spikes to check the timeliness of sending and clarity of alerts.

[ Tariff Plans ]

System Monitoring Implementation Packages

Transparent service packages taking into account the scale of your current infrastructure

For small projects and websites

Basic Observability

Basic set of monitoring tools for 1–3 servers with key metrics and notifications via Telegram.

Development time: from 3–5 days
Work Scope:
✓ Connection to 3 physical or cloud servers
✓ Installation of Node Exporter and Prometheus
✓ 3 basic Grafana dashboards (CPU, RAM, Disk, Network)
✓ Configuration of Website Unavailability Notifications (Uptime Check)
✓ Telegram company chat alerts
✓ 14 days of warranty support
Select the 'Basic' tariff
Best for e-commerce and SaaS ★ Popular

Production Full Stack

Full-featured observability complex: metrics, centralized logs Loki, database monitoring and queues.

Development time: from 1–2 weeks
Work Scope:
✓ Connection to 10 servers and clusters
✓ Monitoring MySQL/PostgreSQL, Redis and RabbitMQ queue
✓ Centralized Log Collection Loki + Promtail
✓ Blackbox Exporter (monitoring HTTP status codes and SSL)
✓ Alert grouping with escalation to on-call staff
✓ 30 Days of Technical Support
Choose 'Production Stack'
For fintech, K8s and distributed microservices

Enterprise Distributed & Tracing

High-Availability cluster VictoriaMetrics, distributed APM-tracing (Tempo/Jaeger), synthetic tests and 24/7 scheduling.

Development time: from 3–4 weeks
Work Scope:
✓ Unlimited number of nodes and microservices in Kubernetes
✓ High Compression VictoriaMetrics Cluster Storage
✓ Distributed tracing of requests (Distributed Tracing Tempo)
✓ Integration with PagerDuty / Opsgenie with automatic engineer alerts
✓ Development of business metrics (transactions, checkout errors)
✓ Round-the-clock scheduled support under the SLA
Choose 'Enterprise Stack'
← Swipe options →
[ COST CALCULATOR ]

Calculate the Cost of the Monitoring System

Specify the scale of the server farm and required components

1. Number of servers or virtual machines: Select Variant

2. Need for centralized log collection: Select Variant

3. Desired notification channels for incidents: Select Variant

CHOOSEN PARAMETERS OF THE SOLUTION:
⏱ Estimated Timeline: Calculation... 👥 Team: 2–3 engineers
1. Number of servers or virtual machines: Up to 3 Servers
2. Need for centralized log collection: Only Load Metrics (Prometheus/Grafana)
3. Desired notification channels for incidents: Telegram or Slack channels
✓ Parameters will be fixed in the application form
Get an exact quote
[ STAGES OF COOPERATION ]

How the project is delivered

Transparent process from first contact to final release on your domain.

01
2–3 days

Node Analysis and Log Audit

Determine data sources, check system log formats, and align key SLA metrics

02
2–4 days

Deployment of Metrics Repository

Installs Prometheus or VictoriaMetrics with data retention period configuration.

03
3–5 days

Exporter and log connections

We will install service exporters on servers and configure Promtail for log collection.

04
3–4 days

Dashboard Construction and Alerting

We create useful visualisations in Grafana and connect trigger rules to messenger notifications.

05
1–2 days

Test incidents and access transfer

Initiate test failures to verify alerts, train your team, and hand over documentation

Our Clients

Companies that have entrusted ALL IT Agency with the development and scaling of their digital solutions

Partner Case 6
Meregi Group
Partner Case 5
TOV Zagin Alpha
Partner Case 11
Valikhnovski Surgery Institute
Wizeclub
Partner Enterprise
DIM Service
Partner Case 6
Meregi Group
Partner Case 5
TOV Zagin Alpha
Partner Case 11
Valikhnovski Surgery Institute
Wizeclub
Partner Enterprise
DIM Service
[ FREQUENT QUESTIONS ]

Answers to common questions from customers

Key details regarding terms, independent website editing, and rights transfer.

A regular external ping only notifies you when the server has already completely 'crashed' or the web server stops responding. Prometheus collects internal metrics: queue fill level for database requests, increase in request execution time (latency) or memory exhaustion. You will find out about the problem 15–30 minutes before the site stops opening for customers.

No, exporters are written in Go or C and consume less 0.5% processor power and up to 20–30 MB of RAM. Metric collection is optimized and practically invisible for the main application workload.

We use a multi-level classification: informational messages (Warning) are published in background channels without sound, while critical incidents (Critical, for example, a main database failure or mass 500 errors) are sent with tags of responsible on-call personnel along with loud sound alerts.

Yes. We configure the calculation of the number of new orders per hour, the amount of successful payments through payment gateways, the number of registered users and the percentage of abandoned carts, combining logs and metrics of the applications.

Yes. Under the technical support agreement (SLA Retainer), our on-call DevOps engineers receive alerts around the clock and begin restoring services with response times starting from 15 minutes.

Share this service with partners or colleagues

Fast delivery to the working chat or copying the link for budget approval

Telegram LinkedIn Facebook

Would you like to ensure the stability of your servers 24/7?

Describe the current architecture and the number of nodes. Our DevOps specialist will develop an individual monitoring and alerting scheme within one working day.

Confidentiality

Official NDA contract for system audit

Quick Feedback

We will contact you within 15 minutes during business hours.

Order implementation of monitoring

The tech lead will contact you within 15 minutes during working hours