APPLICATION PERFORMANCE MONITORING

Slow application?
See where time goes.

From a slow checkout to a stalling API, connect transactions, SQL, external services and code. Give your team shared evidence to prioritize what affects users.

Talk to our APM team →Explore a slow request

Distributed tracingSQL insightsContinuous profiling

01 / DISCOVERFind the endpoints that affect business

02 / DIAGNOSESeparate code, SQL and API time

03 / VALIDATEValidate a deployment against its baseline

INSIDE A REQUEST

Go beyond “it’s slow.”
Inspect every step.

Choose a scenario to explore the overview, a selected trace and the next investigation step.

Ruk-Com APM

commerce / production

Simulated data · no live connection

APPLICATION / CHECKOUT-API · NODE.JS · APP-03

Performance overview

Sample 15-minute window

p95 response time2.84 s95% of requests within this time

Throughput428 rpmRequests per minute

Error rate0.8 %Share of failed requests

Apdex0.72Against the configured target

Response time / p95 checkout-api

14:00–14:15 · v2.8.1 deploy at 14:07

Service dependencies

checkout-api

SQLPayment API

Relationships observed in traces

SELECTED TRACE

POST /api/checkout

2,480 ms · trace #a72f

Span / duration

01,240 ms2,480 ms

POST /api/checkout2,480 ms

↳ checkout.handler2,380 ms

↳ SELECT inventory1,820 ms

↳ POST payment /authorize280 ms

This trace is one request. Parent spans include their children, so row durations are not added together. The p95 above summarizes the time window.

Investigate: SQL occupies 73% of this request

SELECT inventory takes 1,820 ms. Inspect its query plan, indexes, row counts and locks before choosing a SQL change.

Investigation evidence

Illustrative console and metrics explain the workflow; they are not customer results or performance guarantees.

FULL APPLICATION VISIBILITY

From application health
to code-level detail.

Use the right view for daily operations, incident diagnosis and validation after a change.

Transactions & Apdex

Prioritize the endpoints that matter

Compare response time, throughput, error rate and Apdex by transaction. Use percentiles alongside averages to see slower requests.

Distributed traces

Follow requests across services

Inspect parent and child spans with per-step timings. Connect instrumented services that propagate trace context.

Service map

Understand service dependencies

Map observed service relationships, then use latency and errors to choose where to investigate.

Database & N+1

Find slow SQL and repeated queries

Separate database time, inspect trace-linked SQL and find N+1 patterns where query calls grow with item counts.

External services

Locate time spent in external APIs

Inspect calls to payment, ERP and third-party APIs. Review endpoints, status and timeouts in the originating request trace.

Exceptions & HTTP failures

Investigate errors with context

Group exceptions and inspect stack traces, transactions and HTTP failures to distinguish code faults from failing service calls.

Continuous profiling

Explore CPU and memory hotspots

Use profiles and flamegraphs to inspect resource-heavy functions, compare periods and investigate slowness. Runtime support is validated first.

Correlated context

Connect traces to surrounding events

Use logs, infrastructure metrics and session traces when compatible data collection is configured. Additional tooling is scoped in the proposal.

Versions & deployments

Compare before and after deployment

Compare application versions and time windows with deployment markers. Investigate changes in latency or errors before attributing a cause.

Host tracking

Spot hosts that behave differently

Filter by host to distinguish service-wide symptoms from a single machine, using version and available resource context.

Alerts & escalation

Get signals to the right owner

Use thresholds or anomaly baselines with configured email, Slack, Teams or webhook delivery. Plan maintenance suppression and test escalation paths.

Reports & comparisons

Share evidence for decisions

Review requests, failures and Apdex in daily, weekly or monthly reports. Compare periods so developers and operations can track improvements together.

HOW IT CONNECTS

Your application serves requests.
APM analyzes telemetry.

Compatible agents or instrumentation send telemetry to APM. User requests continue on the application path without passing through APM.

Cross-service tracing requires context propagation. Collection endpoints, sampling and data access are planned for your environment.

APPLICATION REQUEST / RESPONSE

User / Client

⇄

ApplicationAPM Agent

⇄

SQL / API

↓Traces · Metrics · ErrorsTelemetry sent separately

APM PlatformAnalyze · Correlate · Alert

↓ Dev / Ops investigate and plan changes

YOUR STACK, CONNECTED

Start with the languages
your team already uses.

Validate runtimes, versions and frameworks, select agents and test collection in a controlled environment.

PHP

Node.js

Java

Python

Ruby

.NET

Auto-instrumentation, custom spans, profiling and context correlation vary by language, version and library. We confirm compatibility, overhead and restart requirements before production rollout.

ENTERPRISE ONBOARDING

Good visibility.
A rollout your team can operate.

Ruk-Com helps plan collection and investigation workflows around your organization, with clear access and ownership.

01Scope

Define the problem and scope

Identify business-critical transactions, runtimes, hosts, owners and incident windows.

SCOPED DELIVERABLEService inventory + success criteria

02Instrument

Instrument with data controls

Define sampling, retention and masking for sensitive headers, queries or payloads. Test before collecting production data.

SCOPED DELIVERABLEInstrumentation + access plan

03Baseline

Establish a baseline and alerts

Validate trace continuity, metrics and alert delivery. Record normal behavior during a representative workload.

SCOPED DELIVERABLEBaseline + alert validation

04Handover

Hand over evidence and ownership

Prioritize findings with developers, define post-change comparisons and hand over runbooks and escalation contacts.

SCOPED DELIVERABLEFindings + operational runbook

APM provides investigation evidence. Code, index and production configuration changes need assigned owners, approvals and testing under your change process. Managed operations and additional development work are defined in the proposal.

Ruk-Com Agent

Agent support across every service

Working with our specialists across Technology and Cyber Security: monitoring, anomaly analysis, planning and coordinated response.

Technology · Performance, capacity and operations

Cyber Security · Risk, vulnerabilities and threat monitoring

Data access, changes and support levels follow the permissions and service scope agreed with our team.

Meet Ruk-Com Agent

CLEAR PRICE / CLEAR SCOPE

APM for teams that need
to understand their applications.

Start with applications that affect revenue or service delivery, then expand coverage as evidence guides your priorities.

APPLICATION PERFORMANCE MONITORING

฿3,500 / machine / month

Share your machine count, runtimes and symptoms for a proposal with clear installation and support scope.

Confirm before onboarding

Machine and container counting, data volume, sampling, retention, access, setup fees, taxes and any additional integrated tooling.

Request an APM assessment →

BEFORE YOU START

Before connecting
production.

Define clear boundaries to collect evidence your team can act on.

How does APM differ from server monitoring?

CPU and memory describe resource health. APM connects symptoms to transactions, SQL, external calls and code. Together they help focus application and infrastructure investigations.

Will APM automatically make the application faster?

No. APM identifies investigation targets. The team must analyze causes, choose changes, test and validate after deployment using comparable workloads and metrics.

Can sensitive information enter APM?

It depends on the agent and configuration. Review headers, query strings, SQL parameters and request bodies; configure and test masking or exclusions, then agree retention and access before production collection.

How does this work with microservices and containers?

Instrument the required services and propagate trace context consistently. Define service, environment and version labels. Machine or container billing units are confirmed before quoting.

What should we prepare for Ruk-Com?

Share your architecture, languages and versions, machine count, slow endpoints, incident windows and impact, along with owners and access restrictions, to define scope and success criteria.

LET’S FIND THE SLOW PART

Show us when your application slows down.
Let’s investigate together.

Start with one critical endpoint and the question your team needs to answer.

LINE @rukcom →[email protected]

Slow application?See where time goes.

Go beyond “it’s slow.”Inspect every step.