Observability before you need an incident
Logs, metrics and traces that answer user-impact questions — set up before the first painful outage teaches the lesson.
Observability is a product question
The point is not collecting everything. It is answering “are users succeeding?” and “what changed?” quickly. Start from journeys, not from agent defaults.
Dashboards nobody trusts are wallpaper.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Make this explicit in writing before build accelerates. Verbal alignment dissolves the first time a deadline tightens or a vendor slips.
Three signals, one story
Metrics for symptoms, logs for detail, traces for path. Teach the team how they connect. Tools without practice still mean long incidents.
Pick a standard and write a one-page how-we-debug guide.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Ask how your partner will prove progress on this topic in staging demos, not only in status reports. Evidence beats adjectives in software delivery.
SLIs that match the business
Checkout success, login success, job completion — not only CPU. Error budgets on vanity infra metrics create false calm.
Review SLIs when the product changes.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
If internal bandwidth is thin, name a single owner on your side who can answer questions within a business day. External capacity without decisions still drifts.
Deploy markers
Every deploy should be visible on graphs. Most “mysterious” regressions are unmarked releases.
Link runbooks to services that page.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Make this explicit in writing before build accelerates. Verbal alignment dissolves the first time a deadline tightens or a vendor slips.
Cardinality and cost
High-cardinality labels will bill-shock you. Design label policy. Sample traces intelligently.
Observability spend should be intentional, like any cloud cost.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Ask how your partner will prove progress on this topic in staging demos, not only in status reports. Evidence beats adjectives in software delivery.
On-call humane defaults
Actionable alerts, quiet hours where safe, and escalation that works. Burnout from noise creates slower response when it matters.
Retire alerts that never produce action.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
If internal bandwidth is thin, name a single owner on your side who can answer questions within a business day. External capacity without decisions still drifts.
How we set this up
Our DevOps and cloud engagements include pipelines and observability defaults suited to the product.
Tell us what you cannot see today during incidents.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Make this explicit in writing before build accelerates. Verbal alignment dissolves the first time a deadline tightens or a vendor slips.
Practice with game days
Break staging on purpose. Follow the runbook. Fix what the drill reveals. Paper plans fail quietly until production.
Schedule drills; do not wait for customers to run them for you.
Game days in staging reveal runbook gaps cheaper than customer reports. Schedule them before you need heroics.
Instrument user journeys before you max out infrastructure metrics. CPU can look fine while checkout is failing for one tenant configuration.
Ask how your partner will prove progress on this topic in staging demos, not only in status reports. Evidence beats adjectives in software delivery.
Next step
FAQ
Short answers related to this article.
What observability should we set up before the first bad outage?
Logs, metrics and traces that answer user-impact questions, SLIs tied to the business, deploy markers and on-call defaults that humans can live with.
How do we keep observability useful without exploding cost?
Watch cardinality, connect the three signals into one story, and practice with game days. Dashboards nobody can act on are just another bill.
How does Three Index set up observability for product teams?
We wire signals to user impact and deploy markers early, with humane on-call defaults — so the first incident is diagnosable, not educational by fire.
Why Three Index
Founded in 2020 in Ahmedabad, Gujarat. Fifty-plus IT professionals. More than five hundred projects shipped across product and enterprise work.
We are large enough to staff serious products and small enough that the people who wrote a module can still explain it. See how we operate, browse case studies, or join the team.
Tell us what you are trying to build.
Send a short description of the project. You will get a reply from someone technical — with questions worth answering, not a brochure.