Applicare gives every developer a plain-English interface to the logs, traces, metrics, and infrastructure events from their own service. Find the bug. Get the explanation. Ship the fix — without the relay race to SRE, without learning SPL, without a war room.
Observability is the engineering practice of understanding production from the outside — what your service did, why it did it, and what to do next. Done well, it shortens the loop between “something’s wrong” and “I’ve fixed it.” Done poorly, it produces three separate dashboards and a Slack thread that ends with “works on my machine.” Applicare treats logs, traces, metrics, infrastructure, and database signals as one causal graph — queryable in plain English, owned by the developer who owns the code.
The developer who wrote the code is the fastest person to fix the bug — if they can see the signal. Applicare removes the three friction points that stop them today: waiting for SRE help, learning a query language, and stitching three tools together.
Fewer escalations to SRE. Developers diagnose their own services without escalating. SRE focuses on platform reliability, not playing detective on someone else’s code.
From symptom to root cause. Ask ArcIn a question, get an answer with the responsible service, span, log line, and commit attached — in under a minute. No 30-minute investigation rituals.
Accessible to every engineer. No PromQL, no SPL, no KQL. Every new hire can investigate from day one. Observability stops being a specialist skill.
p99 latency on checkout-svc /checkout starts to climb — 340ms over the cohort baseline. IntelliSense flags the regression before a single customer support ticket arrives. The on-call developer sees it surface in their service’s ArcIn panel in their IDP.
The developer asks ArcIn: “why is checkout-svc slow?” ArcIn returns: SQL query in OrderRepository.findRecentOrders() · 2.8s avg · up from 142ms last week. No SPL, no PromQL, no dashboard hunting.
The developer clicks the trace ID. IntelliTrace surfaces the waterfall and the cause: the SELECT scans 1.2M rows because commit a47f9d2 (their own, two days ago) introduced a schema migration that dropped an index. ArcIn explains the chain in plain English.
IntelliTune drafts the fix — re-add the index on (status, created_at) — and opens PR #4831. The developer reviews it in their IDE, merges, and the deploy ships. The SRE was never paged. The customer never noticed.
| Traditional handoff model | Bring-your-own-dashboards | Applicare | |
|---|---|---|---|
| Who investigates | Wait for SRE on-call | Engineer who knows the tools | Every developer, on day one |
| Query language | SPL / PromQL / LogQL | Multiple per tool | Plain English (ArcIn) |
| Tool count | 3–5 dashboards | 3–5 dashboards | One workflow |
| Time to root cause | Hours | Minutes (if skilled) | <60s (any engineer) |
| Cause attribution | Multi-tool stitching | Manual | Service → span → commit → author |
| Remediation | Page someone | Fix it yourself | IntelliTune drafts the fix |
No. Applicare accepts standard OpenTelemetry traces, logs, and metrics. If you’ve instrumented with OpenTelemetry SDKs, point your Collector at Applicare — ArcIn understands the data immediately. Auto-instrumentation is available for services that haven’t been instrumented yet.
Permissions are configurable per service, per team. Developers see their own services by default; cross-team visibility is granted via RBAC. ArcIn can investigate downstream services that affect yours — without exposing source code or sensitive log fields.
Applicare ships plugins for Backstage and Port that surface ArcIn answers, service health, and IntelliTrace explanations next to your service catalog. Custom IDPs are supported via a REST API and embeddable widgets.
Yes. Applicare is OpenTelemetry-native. Your existing Collectors, processors, and exporters continue to work — just add Applicare as a destination. No proprietary agents, no parallel instrumentation.
Yes. Every deploy is tagged at the span, log, and metric level. Release-aware dashboards show before/after across whichever KPIs matter to your team — latency, error rate, conversion, or custom business metrics.
Most customers report 80% fewer SRE escalations once developers can self-diagnose. The rotation rebalances toward platform reliability (which SRE owns) instead of service debugging (which the responsible developer owns). The 2 AM page becomes the 2 AM acknowledgment.