System Monitoring
Know First, Act Fast SLO-Driven Observability with Metrics, Logs, and Traces
Know First, Act Fast SLO-Driven Observability with Metrics, Logs, and Traces
Modern systems need more than charts—they need signals tied to user impact. i3RL designs monitoring around service level objectives (SLOs) and error budgets so teams balance reliability with speed, reduce alert fatigue, and make release decisions with data rather than guesswork. Our approach turns telemetry into action by aligning metrics to user journeys and wiring alerts to the decisions they enable.
Our Monitoring & Observability Services
SLOs, SLIs & Error Budgets
We help you define user-centric SLIs and SLOs, set error-budget policies, and use them to drive decisions—when to ship, when to slow down, and when to invest in hardening. These guardrails keep reliability measurable and trade-offs transparent across teams.
Telemetry Pipeline (OpenTelemetry)
We standardize instrumentation for metrics, logs, and traces using OpenTelemetry and deploy collectors to move data to your preferred backends. This vendor-neutral pipeline reduces duplicate agents and makes telemetry portable across clouds and tools.
Metrics (Golden Signals)
We implement the golden signals—latency, traffic, errors, and saturation—with pragmatic thresholds and burn-rate alerts, so pages are actionable and correlated to user impact. Dashboards highlight trend and headroom, not noise.
Logging & Search
We centralize structured logs and retention policies, then link logs to traces for faster root cause analysis. Designs typically use Elastic/ELK, OpenSearch, or Loki to provide scalable search and cost-efficient storage aligned to your compliance needs.
Distributed Tracing
We deploy request-level tracing to expose latency, dependencies, and hotspots across microservices. With Jaeger and OTel you get end-to-end visibility that speeds diagnosis and prevents regressions from slipping into production.
Dashboards & Runbooks
We build Grafana/ELK views mapped to service ownership and pair them with concise runbooks that cut MTTR. Every graph answers a real question; every runbook names the responder, commands, and rollback steps.
Experience
We’ve deployed observability for containerized and serverless estates—shrinking MTTR, stabilizing releases, and enabling data-driven change windows. Engagements pair instrumentation with operational practice so teams respond faster and ship more confidently.
Client Satisfaction
0
%
Revenue Impact
$
0
M
Years of Experience
0
+
Our Monitoring Process
Our process turns raw signals into reliable operations. We start by anchoring on user journeys with SLIs/SLOs and clear ownership, then instrument services, design dashboards and alerts, and validate everything with load and failure tests. By launch, on-call is rehearsed and runbooks are ready—and after go-live, continuous tuning keeps reliability improving with real-world feedback.
Conceptualizing the Objectives
Identify critical user journeys and promises to keep, translate them into SLIs/SLOs, and choose error-budget policies that balance reliability and velocity.
Kickoff
Select tools and destinations, establish access and ownership, and agree on alert routing and escalation boundaries from day one.
Discovery
Inventory services, dependencies, and blind spots; document current telemetry and gaps so we focus effort where it matters most.
Design
Define telemetry schemas, sampling, and retention; lay out dashboards, alerts, and runbooks mapped to service owners to ensure accountability.
Implementation
Roll out instrumentation, collectors, and pipelines in phases; validate data quality and wire dashboards to agreed SLIs.
Quality Assurance
Run load and failure tests to prove alerts are actionable, tune thresholds and burn-rate windows, and remove sources of noise.
Release Preparation
Dry-run incident drills and escalation, confirm on-call coverage, and finalize runbooks so launches are calm and recoveries are quick.
Post-Launch Support
Review SLOs and error budgets, adjust alerts and sampling, and plan continuous tuning so the system improves with real-world feedback.
System Support & Monitoring Stacks
Operational tooling for ITSM, monitoring, security, endpoints, incident response, and observability.
ITSM & CMDB
Ticketing, change, asset/CMDB, and knowledge workflows
Technologies in this bundle:
ServiceNow
ITSM/CMDB
Jira Service Management
ITSM
Freshservice
ITSM
Zendesk
Support
ManageEngine
ITSM/Endpoint
Confluence
KB/Runbooks
Optimize support operations
Unify intake, automations, and CMDB relationships.
System Monitoring
Metrics, logs, traces, synthetics, and alerting foundations
Technologies in this bundle:
Prometheus
Metrics/TSDB
Grafana
Dashboards
OpenTelemetry
Telemetry/Traces
Elastic Stack
Logs/Search
Kibana
Log Viz
OpenSearch
Logs/Search
UptimeRobot
Uptime
Pingdom
Synthetics
Datadog
APM/SaaS
New Relic
APM/SaaS
Dynatrace
APM/AI
Zabbix
Infra/NOC
Kubernetes
K8s Metrics
InfluxDB
TSDB
TimescaleDB
TSDB
ClickHouse
Analytics
Stand up observability fast
Golden signals, SLOs, and actionable alerts—in one pipeline.
Monitoring & APM
SaaS visibility for apps and infrastructure
Technologies in this bundle:
Datadog
APM/Infra
New Relic
APM
Dynatrace
APM/AI
Zabbix
Infra
Prometheus
Metrics
Grafana
Dashboards
See issues before users do
Integrations, SLOs, and alert tuning for fewer pages.
Logging & SIEM
Centralized logs, analytics, detections, and compliance
Technologies in this bundle:
Elastic Stack
Logs/Search
Kibana
Visualization
OpenSearch
Logs/Search
Splunk
SIEM
Graylog
Logs
Microsoft Sentinel
Cloud SIEM
Make logs actionable
Parsing, retention, and detections that catch real issues.
Endpoint & Identity
MDM/UEM, SSO/MFA, and secure remote support
Technologies in this bundle:
Microsoft Intune
MDM/UEM
Jamf
Apple MDM
Workspace ONE
UEM
Okta
SSO
Duo Security
MFA
TeamViewer
Remote Support
Harden endpoints, reduce toil
Automated provisioning, policies, and secure access.
Incident & Uptime
On-call orchestration, synthetic checks, and status comms
Technologies in this bundle:
PagerDuty
On-call
Opsgenie
On-call
UptimeRobot
Uptime
Grafana Synthetic
Synthetic
Statuspage
Status
Slack
Incident Comms
Cut MTTR, improve trust
Runbooks, paging rules, and clean stakeholder updates.
Don't see your preferred tool? Contact us for a customized support stack.
Why Choose i3RL
Choose monitoring that maps to business outcomes. We align signals to user impact, keep alerts actionable, and design a pipeline that scales with your stack—not your tool bill.
User-Centric Reliability
SLOs and error budgets guide when to ship, harden, or slow down—keeping reliability tied to customer impact and team velocity.
Actionable Alerts
Golden-signal thresholds and burn-rate policies trim noise and page only when action is needed, protecting focus and sleep.
Built to Evolve
OpenTelemetry-based, vendor-neutral designs keep data portable and tooling flexible as your platform and teams grow.
On-Call Excellence
Clear ownership, rehearsed escalation, and PagerDuty-integrated schedules reduce MTTA/MTTR and keep incidents calm and reversible.
End-to-End Traceability
Distributed tracing reveals latency and dependencies across services, speeding diagnosis and preventing regressions from reaching users.
Cost-Aware Telemetry
Sampling, tiered retention, and right-sized storage keep observability spend predictable while preserving the high-value signals engineers need.
Our Hiring Models
Dedicated Developer
Our dedicated teams specialize in analysis,
development, testing, and support. They integrate
seamlessly with your business to deliver results with
efficiency and precision.
Dedicated Team
Our dedicated teams specialize in analysis,
development, testing, and support. They integrate
seamlessly with your business to deliver results with
efficiency and precision.
Fixed Price Project
Our dedicated teams specialize in analysis,
development, testing, and support. They integrate
seamlessly with your business to deliver results with
efficiency and precision.
development, testing, and support. They integrate
seamlessly with your business to deliver results with
efficiency and precision.
Questions & Answers
Frequently Ask Questions
Monitoring checks known states with predefined alerts; observability provides rich signals—metrics, logs, and traces—that let you ask new questions and debug the unknowns in complex systems.
We align alerts to SLOs, use golden signals and burn-rate policies, and route pages through tested escalation so responders get fewer, more actionable notifications.
Yes—our OTel pipeline exports to common backends, and we integrate with Grafana, ELK/OpenSearch, PagerDuty, and cloud-native services without vendor lock-in.
We follow agile sprints, regular stakeholder reviews, and continuous integration to maintain full transparency throughout the project.
DIDN’T FIND THE ANSWER YOU ARE LOOKING FOR?
Got a Project in Mind? Contact us!
