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DevOps/Site Reliability Engineering
Site Reliability Engineering

Measure reliability, then actually improve it.

You get SLIs, SLOs, and error budgets that reflect how your business really experiences downtime, plus the runbooks, on-call rotations, and incident processes that turn a 2 a.m. page into a ten-minute fix. Fewer heroics, and a lot more sleep.

  • SLI and SLO design grounded in real user journeys
  • Error budget policies that balance shipping speed against reliability
  • On-call rotation setup, paging, and incident command training
  • A postmortem culture and runbooks that keep outages from repeating
Get a quoteWhy this matters

You keep SRE tooling your team can run long after we leave.

PrometheusGrafanaPagerDutyOpsgenieStatuspageSlackincident.ioSentry
Why

Without SRE, reliability is just a feeling.

Some weeks feel calm. Other weeks feel like one fire after another. And nobody can actually answer the question everyone keeps asking, which is whether things are getting better. SRE turns reliability into something you can measure, budget for, and improve on purpose, the same way you'd treat any other engineering output.

Incidents wake people up, and nobody can say if it's getting better

On-call engineers get paged in the small hours for the same kinds of issues, month after month. There's no shared picture of whether reliability is heading in the right direction.

No shared definition of "reliable"

Engineering thinks 99.9% is plenty. Sales already promised a customer 99.99%. Product wants both, with no extra time. Nobody is holding a number that means anything, so every incident turns into an argument.

Postmortems that produce reports instead of fixes

Action items sit in Notion and quietly get forgotten. The same outage comes back three months later. After that, the team stops believing the process is worth the effort.

On-call rotations that burn people out

Two engineers carry the pager because nobody else feels ready to. The alerts are noisy. People get paged on a Saturday for something that could have waited until Monday. Then they start leaving.

The Process

How we run this engagement.

Each step produces something concrete, comes with a written hand-off, and has to clear a checkpoint before we move to the next one.

01

SLI and SLO workshop

We work with engineering and product to pin down the user journeys that matter, choose measurable signals for them (the SLIs), and set target levels (the SLOs) that reflect what the business genuinely needs rather than an aspirational round number.

02

Error budget policy

Once the SLOs exist, we define what happens when one is at risk. Do you freeze releases? Pull engineers onto reliability work? Engineering, product, and leadership agree the policy before the first incident, while everyone is still calm.

03

Incident response framework

We set up an incident command structure with an incident commander, a scribe, and a comms role, plus severity definitions, communication templates, and a status page workflow. When the page fires, everyone knows their job.

04

On-call rotation and runbooks

We design the rotation, the page-routing rules, and the escalation policy. For your most common alerts, we write the runbooks alongside your engineers, so the on-call person follows a checklist that's already been tested instead of debugging from a cold start.

05

Postmortem culture

A blameless postmortem template, proper tracking of action items, and a regular session to look for patterns across incidents. We're finished when the same outage stops coming back.

The Result

What you walk away with.

These are outcomes you can measure, not a slide deck. Here's the change you should expect to see.

50%+MTTR reduction

Quicker recovery, fewer escalations

Teams running a proper SRE practice usually cut mean time to recovery in half or better. Runbooks and clear ownership tighten up the loop between spotting a problem and fixing it.

Shareddefinitions

SLOs the whole company agrees on

Engineering, product, and leadership all point at the same numbers. "Are we reliable?" finally becomes a question with a real answer.

Lowerpage volume

Fewer pages and a calmer on-call rotation

Alert tuning, runbook coverage, and error budgets strip out the noise, so the on-call engineer only gets paged for things that genuinely need a person right now.

A reliability culture rather than a heroism culture

Incidents turn into learning opportunities instead of blame. Action items actually get closed. Trust between teams goes up, because everyone is working from the same signals.

FAQ

Common questions.

We're a small team. Is SRE overkill for us?

Not at all. The smaller your team, the more you get out of SLOs and runbooks, because every page costs you more when there are only three engineers to absorb it. We size the practice to fit your team.

Will SRE slow our shipping velocity down?

Done right, it does the opposite. An error budget gives engineering clear permission to ship fast while reliability is healthy. The brakes only come on when you're burning through the budget faster than it refills.

Do you carry the pager yourselves?

We can, through a managed SRE retainer with agreed SLAs. Most clients would rather we set up the practice, train their team, and then hand the pager over. Either arrangement works.

What's the difference between an SLI, an SLO, and an SLA?

An SLI is the measurement, such as the percentage of requests served under 300ms. An SLO is the target you hold that measurement to, such as 99.9% of requests. An SLA is the contractual promise to a customer, usually set looser than your internal SLO so you have headroom.

How do you set the right SLO target?

We start from real user journeys and historical data rather than an aspirational round number. The target should reflect what your business genuinely needs and what your architecture can sustainably deliver, because every extra nine costs real engineering effort.

What is an error budget and how do we use it?

An error budget is the amount of unreliability your SLO allows, for example the 0.1% of downtime left by a 99.9% target. While budget remains, engineering ships fast. When it runs low, the agreed policy shifts focus to reliability work until the budget recovers.

How do you reduce alert fatigue?

We alert on symptoms your users feel, such as failing checkouts, rather than every CPU spike, and we tie thresholds to your SLOs. Noisy and duplicate alerts get pruned, so the on-call engineer trusts the pager again and stops ignoring a channel full of noise.

How should on-call rotations be structured?

We design rotations wide enough that no two people carry the whole load, with clear page-routing and escalation rules. Pages outside business hours are reserved for things that genuinely cannot wait, and runbooks mean the on-call person follows a tested checklist instead of debugging cold.

What does a good incident response process look like?

Clear severity levels, a named incident commander, a scribe, and a comms role, plus communication templates and a status page workflow. When the page fires everyone knows their job, so the time goes into fixing the problem rather than figuring out who does what.

How do you actually improve uptime over time?

Blameless postmortems turn each incident into a tracked fix, and we review patterns across incidents to find the recurring root causes. Closing those action items, rather than filing reports, is what stops the same outage from coming back and steadily raises uptime.

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Office

Surabaya, Indonesia

Starting price

From USD 4,000

Typical projects: USD 4,000–25,000

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