Application Instrumentation
Metrics and traces emitted from the application itself, so behaviour is visible from the inside rather than inferred from the outside.
Observability & Monitoring
Know what your systems are doing — before a customer tells you.
Overview
Monitoring tells you a threshold was crossed. Observability lets you ask why, including questions nobody anticipated when the dashboards were built. Nextherrion instruments systems so failures are detected early, diagnosed quickly, and alert on what actually matters rather than training people to ignore them.
Instrumentation, logging, tracing, alerting and the service-level objectives that decide what is worth waking someone for.
Centralized Logging
Logs aggregated, structured and searchable, so diagnosis does not begin with finding which machine to look at.
Distributed Tracing
Following a request across services, which is the only practical way to find where latency accumulates in a distributed system.
WHAT WE DO
Observability Services We Offer
Metrics & Dashboards
Dashboards built around the questions people actually ask during an incident, rather than around what was easy to graph.
Alerting & On-Call
Alerts tied to user-visible symptoms, so pages mean something. Alerting on everything is how teams learn to ignore alerts.
Service-Level Objectives
Defining what acceptable looks like with the business, so reliability work has a target instead of an aspiration.
Incident Response
The practice around an outage — escalation, communication, roles — decided before one, not improvised during it.
Performance Monitoring
Tracking latency and throughput over time, so degradation is noticed as a trend rather than as an outage.
OUTCOMES
What Visibility Changes
Most of the cost of an incident is the time before anyone understands it. Instrumentation is what compresses that, and it has to exist before the incident does.
- Problems found before customers call
- Faster diagnosis during incidents
- Alerts people still trust
- Reliability with an agreed target
- Degradation seen as a trend
- Incidents handled, not improvised
FAQ
Frequently Asked Questions
What is the difference between monitoring and observability?
Monitoring answers questions you thought of in advance. Observability lets you ask new ones during an incident — which is when the unanticipated question always arrives.
We have dashboards already. Is that enough?
Depends whether they answer questions during an incident or only display metrics. Plenty of dashboards look informative and help nobody at 3am.
How do we stop alert fatigue?
By alerting on user-visible symptoms rather than on every threshold, and by deleting alerts nobody acts on. An ignored alert is worse than none.
What should our SLOs be?
Whatever the business can actually justify paying for. Availability targets are a cost decision, and setting them without that conversation produces numbers nobody defends.
Does instrumentation slow systems down?
Marginally, and sampling controls it. The cost is very small relative to diagnosing an outage without it.
Can this work with our existing tooling?
Usually. Open instrumentation standards mean the data can go to most platforms, and replacing tooling is rarely the constraint.
TECHNOLOGY
Built on Industry Leading Technology
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.
HOW WE DELIVER
Observability Engagement Process
- 01Current Visibility Assessment
- 02Critical Path Mapping
- 03Instrumentation Design
- 04Implementation
- 05SLO Definition
- 06Alert Tuning
- 07Incident Practice & Handover
Would you know before your customers did?
Start with a visibility assessment of your critical paths.