CraftDEM · FSO + DEM

Own the experience.
Not just the dashboard.

Stop watching dashboards. Declare the experience outcomes you own — and let full-stack observability + digital experience monitoring, correlated by Ritam, hold them true across every user journey.

FSO answers “why, and where in the stack.” DEM answers “what the user is feeling.”

BFSIOTT / StreamingSaaSeBPF · OpenTelemetry
Digital Experience Score · LiveWATCHING
94 / 96 to goal1 journey at risk · checkout → DB pool
The problem

You learn about bad experience from your customers.

Experience is managed reactively — the platform is green while users abandon, buffer and churn. Front-end tools can't see the backend; backend tools can't see the user. No one owns the outcome.

the first alert
Users report the outage before your dashboards do
70%
of RCA is finger-pointing — front-end vs backend vs network
3–5
disconnected tools — RUM, APM, logs, infra, each a silo
₹ lost
silently — abandoned carts, churned viewers, failed logins
Monitoring is not managing.You can’t manage an experience you only observe after it fails. It has to be governed by the outcomes you commit to — and seen full-stack, so you know why.
The thesis

Experience, managed by goals — not dashboards.

You declare the experience outcomes you're accountable for. CraftDEM measures them in real time, sees the full stack beneath them, and — through ARGUS — tells you why you're at risk, before the customer feels it.

Monitoring — reactive
Goal-driven — managed
You watch dashboards and wait for a spike
You declare an experience goal — “checkout success > 99.5%”
Front-end and backend teams argue over cause
FSO sees the whole stack; ARGUS names one root cause in <60s
You react after users have already left
CraftDEM flags the goal at risk 30–90 min ahead
Experience quality is a guess
The DXS score makes it one measurable, owned number
The platform

FSO + DEM — outside-in and inside-out, unified.

Two co-equal pillars on one substrate. DEM sees the experience from the user's side; FSO sees the entire stack that produces it. ARGUS correlates between them so a bad experience always resolves to a real cause.

DEM

Digital Experience Monitoring

Real-user monitoring (RUM) — page load, API latency, session quality
Synthetic monitoring — 24×7 scripted journeys from global PoPs
Journey completion & funnel — where users drop, and why
DXS — one experience score, per app and per cohort
FSO

Full-Stack Observability

eBPF + OpenTelemetry — traces, metrics, logs with no agent sprawl
App → API → service mesh → DB → network → infra, one topology
Distributed tracing — frontend to database, per request
Correlates every layer to the experience it produces
ARGUS binds the two. A DXS drop is traced, in one correlated view, to the exact span, query or hop causing it. No war room, no finger-pointing.
Declare the experience

Own the number.

You set the experience goals you're accountable for; CraftDEM tracks target vs realised, and Ritam flags what's at risk — with the full-stack cause already attached, long before users feel it.

Experience goalTargetNowStatus
Checkout success rate> 99.5%99.2%At risk
Login p95 latency< 800 ms610 msOn track
Video start time (p90)< 2.0 s1.7 sOn track
API error rate< 0.5%0.31%On track
Core Web Vitals (good)> 90%84%At risk
1 journey at risk — checkout latency trending up; ARGUS traced it to a DB connection pool, fix queued for approval.
Vertical-tuned

Experience means something different in each vertical.

BFSI, OTT and SaaS experience models out of the box.

BFSI

Experience is transaction integrity

For a bank, digital experience is trust: every login lands, every payment completes, every balance loads instantly — under RBI and DPDP scrutiny.

Declared experience goals
Checkout / payment success> 99.5%
Login success & p95> 99.9% · < 800 ms
Fund-transfer completion> 99.7%
Balance / statement load< 1.0 s
When a goal goes at risk: Checkout success dips. ARGUS traces it — not to the app, but to a payment-gateway TLS renegotiation adding 900 ms. Fix queued before abandonment spikes; DPDP-relevant events logged.
Every 0.1% of failed checkouts at scale is crores in abandoned transactions — and a reporting obligation.
OTT / Streaming

Experience is quality of viewing

For a streaming service, experience is the stream itself: fast starts, no rebuffering, stable bitrate — especially when a live event spikes concurrency.

Declared experience goals
Video start time (p90)< 2.0 s
Rebuffer ratio< 0.4%
Bitrate-drop events< 1 / session
Playback success> 99.5%
When a goal goes at risk: Rebuffer ratio climbs during a live final. FSO traces it across CDN → origin → transcoding: an origin-shield cache-miss storm. Ritam pre-scales origin and shifts CDN before churn-driving buffering spreads.
Buffering during peak is the #1 driver of subscriber churn — minutes of degraded QoE cost renewals.
SaaS

Experience is product usability

For a SaaS product, experience is whether the app feels fast and works: responsive flows, low error rates, completed onboarding — the things that drive activation and renewal.

Declared experience goals
Core Web Vitals (good)> 90%
API latency (p95)< 300 ms
Onboarding completion> 85%
Error-free sessions> 99%
When a goal goes at risk: Onboarding completion drops for new tenants. FSO correlates the DEM funnel to a slow N+1 query behind one feature flag. ARGUS names it in seconds; the fix protects activation for every trial in flight.
Slow flows suppress activation and NRR — experience quality maps directly to retention and expansion revenue.
FSO + DEM, correlated

From “the app is slow” to the exact cause — in one view.

A single experience symptom, traced through the full stack to one root cause. No front-end-vs-backend standoff — ARGUS follows the request across every hop.

DEM

Real users see checkout latency climb +2.1 s — DXS for the flow drops 11 points

TRACE

Distributed trace isolates the slow span to the payments micro-service

FSO

eBPF shows the service blocked on a DB connection-pool wait, not CPU

ARGUS

Root cause: pgbouncer pool exhausted by a deploy 20 min earlier. One cause, not five theories.

hours
Siloed tools — time to root cause.
<60 s
CraftDEM — ARGUS causal RCA.
1
Investigation starts from what the user felt, ends at the responsible line of infra.
How it plugs in

eBPF + OpenTelemetry — deep, without agent sprawl.

CraftDEM instruments the full stack with eBPF and open standards — no code changes, no per-host agent zoo — and augments the APM and RUM tools you already run rather than replacing them.

eBPF kernel-level capture

Sees every syscall, socket and DB call with near-zero overhead — no app instrumentation required.

OpenTelemetry-native

Traces, metrics and logs on open standards — no lock-in, works with your existing pipelines.

Augments, doesn’t replace

Sits above Datadog, Dynatrace, New Relic — adds the experience-goal layer and cross-stack correlation.

One session, five planes — correlated: Experience → Application → Data/DB → Network → Infrastructure. A single RCA, not five tools stitched by hand.
Product tour

See CraftDEM in action.

The DXS dashboard — experience goals, at-risk journeys and the full-stack trace behind each.

CraftDEM — console screenshot
The measurable delta

What goal-driven experience delivers.

From reactive monitoring to owned outcomes — measurable from the first quarter, across every vertical.

<60 s
Experience RCA
cross-stack, ARGUS causal — vs hours of triage
30–90 min
At-risk lead time
goals flagged before users feel the impact
90%+
Signal-to-noise
TSLAM4b surfaces only experience-affecting events
1 score
DXS
one owned number for end-to-end quality
[__%]
Fewer abandoned journeys
checkout / playback / onboarding — per account
[₹ __]
Revenue protected
abandonment, churn and activation loss avoided

[ ] bracketed values to confirm against account baseline.

How to engage

A de-risked path — delivered with your SI.

Every stage is co-funded, KPI-gated and reversible. For large accounts we deliver through your Tier-1 SI partner — you keep your prime, we bring the programmable layer.

01Weeks 1–2

Experience workshop

Map your critical journeys and declare the experience goals that matter. Baseline current DXS, RCA time and tool sprawl.

You bring: Journey list · current tooling

02Months 1–2

Instrumented PoC

eBPF/OTel deployed on 2–3 real journeys. Goals tracked live. If the agreed KPIs don't move, you exit at zero further cost.

You bring: Co-funded PoC · data-feed access

03Months 3–6

Full rollout

Experience goals across the estate, ARGUS RCA and at-risk flagging live. SI-delivered, augments your APM stack.

You bring: SaaS fees · zero additional CapEx

Delivered via TCS · Wipro · Infosys · Accenture — augments Datadog / Dynatrace / New Relic, never rips them out.
One engine, one enterprise

The programmable enterprise suite.

Three surfaces, one AIOps engine underneath — Ritam. Prove one, extend without re-integrating.

See it live

The experience console.

DXS score, a journey at risk, and the correlated full-stack RCA trace.

The experience console
See it on your estate

See your experience goals go live.

An instrumented PoC on your real BFSI, OTT or SaaS journeys.