Application Performance Monitoring (APM)
Tracing and metrics that show what users actually experience, not just what the servers report.
Read moreMonitoring & Support
Log Management & Analytics
Centralised, structured logs you can actually search at 3am, with retention that does not bankrupt you.
Overview
Logging usually fails in one of two directions. Either everything is retained in an expensive searchable tier and the bill becomes untenable, or logs are aggressively trimmed and the one field needed during an incident was dropped six months ago.
We standardise on structured logging with correlation IDs, route logs into tiers matched to how they are actually used, and make sure the search experience works under pressure rather than only in a demonstration.
What you get
Structured and correlated
JSON logs with trace and request IDs so a single user journey can be reconstructed across services.
Retention that fits use
Recent logs hot and searchable, older logs archived cheaply but still retrievable when required.
Sensitive data excluded
Filtering at the source so credentials and personal information never reach the log store.
Useful under pressure
Saved queries and dashboards built for the questions people actually ask during an incident.
How we work
- 01
Audit
Current log sources, volumes, costs and gaps established before any change.
- 02
Standardise
A structured logging format and correlation strategy agreed and rolled out across services.
- 03
Route
Pipelines configured with filtering, enrichment and tiered destinations matched to value.
- 04
Enable
Dashboards, saved searches and retention policy handed over with the team trained on them.
Common questions
How long should we keep logs?
Thirty to ninety days hot for operations, and longer in cheap archive where compliance or investigation needs require it. Security logs often have their own mandated period.
Can this feed our SIEM?
Yes, and doing both from one well-designed pipeline avoids paying twice to collect the same data.
How do we stop costs growing?
Filter debug-level noise at the source, sample high-volume repetitive events, and keep only detection-relevant data in the searchable tier.
Often paired with
Security Information & Event Management (SIEM) Implementation
A SIEM with the right log sources, tuned detections, and ingest costs that do not spiral.
Read moreSite Reliability Engineering (SRE)
Service level objectives, error budgets and an on-call practice that does not burn out your team.
Read moreReady to talk about log management & analytics?
We will tell you what we would do, roughly what it costs, and whether it is worth doing yet.