For teams tired of firefighting
Fewer outages, faster answers, a calmer on-call week
Improving reliability starts with seeing the system: metrics, logs and traces that show where a request slows down or fails. Then alerts are cut back to the ones that need a person, each with a runbook, and the causes behind repeat incidents are fixed one at a time.
01 Sound familiar
Sound familiar?
-
The pager goes off several times a night, and most alerts resolve themselves before anyone has finished logging in.
-
When something breaks, the team hears about it from customers and support first and from the monitoring second.
-
Every incident turns into a hunt across servers and dashboards, and the one engineer who knows where to look is always the one called.
Storyboard
One day on call, before and after
Step through a day on call. Each panel shows one moment as it runs now, then how it runs once the signals, alerts and runbooks are in place.
The day as it runs today
-
02:10, the pager
Today
An alert fires for high CPU on one server. It clears on its own while the engineer is still opening a laptop.
After the change
That alert no longer pages anyone. It waits for the morning review, and only symptoms customers would feel wake a person.
-
09:15, a complaint
Today
Support forwards a complaint that checkout is slow. Nobody saw it coming, and nobody knows when it started.
After the change
A latency alert on checkout fired before the first complaint, and the on-call engineer is already looking at the slow step.
-
09:40, the hunt
Today
Three engineers search logs on separate servers, trying to line up timestamps by hand.
After the change
One trace shows the request path. The slow call to the payment service stands out, with its logs linked from the same view.
-
16:00, follow-up
Today
The fix is a restart. No notes are written, and the same incident comes back a few weeks later.
After the change
A short review records the cause. The runbook gains a step, and the underlying fix joins the backlog with an owner.
-
18:00, handover
Today
The on-call engineer hands over in a chat message, and the next person starts the shift without context.
After the change
The handover note lists open issues, recent changes and anything still being watched, drawn from the incident record.
02 A typical situation
What this usually looks like
Picture a software company with alerts nobody trusts, dashboards that each show part of the picture, and an on-call rotation that rests on the one or two people who know the system best.
We would map the paths customers depend on and agree what healthy looks like for each. Then we would add tracing and structured logs, cut alerts to the ones that need a person, write runbooks with your team, and work through repeat causes in order of impact.
03 Start
Make the next incident shorter than the last one
Book a call with an engineer. Bring your recent incidents and your alert list, and we will talk through where better signals and runbooks would help first.
What happens next
- You pick a time, or send us a message.
- A person at Nexstella reads what you shared before we talk.
- You leave with a clear next step, even when that step is to wait.
Or write to [email protected]. Send a brief instead
Meet
Booking as .
Loading the calendar. If it does not appear, it opens on Cal.com too: open it in a new tab
Send us two or three times that suit you. A person replies within one business day. The invite goes to the address above.
Prefer that we send you times?
What happens next
- You pick a time, or send us a message.
- A person at Nexstella reads what you shared before we talk.
- You leave with a clear next step, even when that step is to wait.
Contact
Send us a message
Pick the topic that fits and tell us what you are working on. A person replies within one business day.
Want the full picture? Read Cloud, DevOps and platform engineering.
Also written for you: Ongoing engineering support , Scaling SaaS platforms .
Last updated