What Is SRE as a Service?

SRE as a service is site reliability engineering delivered by an external team: engineers who use software engineering practices to make production systems reliable, measurable and efficient. They define service level objectives, build monitoring and alerting around them, run incident response and post-incident reviews, reduce repetitive manual work, plan capacity and improve the system so the same failures do not happen twice.

Codersarts provides SRE as a service for SaaS companies, startups and product teams whose application has become important enough that outages cost real money, but who do not yet have a dedicated reliability team. We bring the practices that large technology companies use, scaled to the size and budget of your product, and work inside your own accounts and tools.

SRE as a Service at a Glance

SRE vs DevOps vs Traditional Operations

SRE and DevOps work well together. Our Managed DevOps service focuses on how code reaches production, while SRE focuses on how production behaves for users once it is there.

Core SRE Practices We Bring

Service Level Indicators and Objectives

A service level indicator (SLI) is a measurement of what users experience, such as the share of requests that succeed or the share of pages that load within a second. A service level objective (SLO) is the target for that measurement over a period, such as 99.9 percent of requests succeeding over 30 days. SLOs replace vague goals with numbers both engineers and business owners understand.

Error Budgets

The gap between the SLO and 100 percent is the error budget: the amount of unreliability you can accept. At 99.9 percent over 30 days, the budget is roughly 43 minutes of full downtime, or the equivalent in failed requests. While budget remains, the team ships features freely. When it is being spent too fast, reliability work takes priority. Error budgets end the argument between "move fast" and "do not break things" with an agreed rule.

Higher targets need more redundancy, automation and on-call cover, and cost more. We help you choose targets that match what users and contracts actually need.

Incident Response

• Clear severity levels and on-call routing

• A named incident lead who coordinates while others investigate

• Status updates to stakeholders at agreed intervals

• Runbooks for known failure types, so recovery does not depend on memory

Blameless Post-Incident Reviews

After significant incidents, we write a short review covering what happened, the impact, how it was detected, how it was fixed, why it happened and what will stop it happening again. Reviews focus on systems and processes, not on blaming individuals, which makes people more willing to share what really happened. Every action item is tracked to completion.

Toil Reduction

Toil is manual, repetitive operational work that grows with your system and adds no lasting value, such as restarting stuck processes, clearing disks, rotating certificates by hand or running manual data fixes. We measure where toil comes from and automate or remove it, freeing your team for product work and removing a common source of human error.

Capacity Planning

We track growth in traffic, data and resource usage, forecast when limits will be reached and plan changes before they become emergencies, including load tests before major launches.

What Our SRE as a Service Includes

How SRE as a Service Works

1. Reliability assessment. We review your system, incident history, monitoring, deployment process and recovery capability, and interview the people who operate it.

2. Reliability roadmap. You receive a prioritised plan: the biggest risks first, then SLOs, alerting, runbooks and automation.

3. SLOs and alerting. We define SLOs for the user journeys that matter and rebuild alerting around them.

4. Incident readiness. On-call routing, runbooks and communication templates are put in place.

5. Monthly reliability work. We respond to incidents, run reviews, reduce toil and improve resilience, reporting progress against SLOs every month.

Example SLOs for a SaaS Product

These illustrative SLOs show how targets are set for different user journeys.

Different journeys deserve different targets. A delayed report matters less than a failed login, so the targets, alerts and engineering effort follow that priority.

Release Safety

Most incidents begin with a change. We reduce change-related incidents with canary or phased releases, automatic rollback when error rates rise after a release, feature flags for risky changes and change freezes around critical business events. When the error budget is exhausted, the agreed policy shifts focus to reliability until the service is back within its target.

Common Reliability Risks We Find

• Single points of failure, such as one server, one database without a standby or one engineer who knows how to deploy

• Alerts that fire constantly or not at all

• Deployments without rollback, so a bad release means a long outage

• Backups that have never been restored

• Dependencies without timeouts, so one slow provider stalls the whole app

• No clear owner during incidents, leading to slow, confused recovery

SRE for Smaller Products

SRE practices are often associated with large companies, but the principles scale down well. A small SaaS product does not need a dedicated reliability team or complex infrastructure. It needs a few clear SLOs, alerts that mean something, a runbook for common failures, a reliable backup and restore, and a habit of learning from incidents. We apply the practices in proportion to your size, and recommend added complexity only when your targets require it. If your app runs on a single server today, that may be exactly right; the point is to know its limits and recover quickly.

What the Monthly Reliability Report Shows

• SLO performance for each user journey, and how much error budget remains

• Incidents, with duration, impact, cause and the status of follow-up actions

• Toil, including the manual tasks automated this month and what remains

• Capacity forecasts for traffic, storage and database growth

• Recommended priorities for the next month, agreed with you

Game Days and Recovery Drills

Plans that are never practised fail when they are needed. We run controlled recovery drills, sometimes called game days, where a failure is simulated in a safe way, such as a database failover, a lost server or a provider outage, and the team follows the runbook. Each drill shows gaps in documentation, alerts or automation, which are fixed before a real incident exposes them.

Who SRE as a Service Is For

• SaaS companies with uptime commitments in customer contracts

• Startups whose product has grown faster than their operations practices

• Teams with frequent or long incidents and no clear process for learning from them

• Companies preparing for enterprise customers who ask about SLOs, incident response and reliability reporting

• Engineering teams spending more time firefighting than building

SRE as a Service vs Hiring an SRE

Related Services

• Critical Incident Cover for 24/7 response to critical incidents

• Application Monitoring for uptime, error and performance monitoring

• Backup and Disaster Recovery for tested recovery plans

SRE as a Service Pricing

Reliability Assessment

A review of your architecture, incidents, monitoring and recovery, with a prioritised reliability roadmap. Estimated in advance and charged at $50 per hour.

Monthly SRE

Scoped after the assessment, built on Managed Run, which starts at $1,000 per month, plus agreed reliability engineering hours for SLOs, toil reduction and resilience work.

Add-ons

• 24/7 critical incident cover: $250 per month

• Additional reliability engineering: $50 per hour in business hours, $75 per hour out of hours, with your approval

Cloud, monitoring and paging tool costs are paid directly to providers.

What Is Not Included

• Feature development

• Cloud and tool subscription costs

• Guaranteed uptime percentages beyond what the agreed architecture supports

• Hosting in Codersarts-owned accounts

Frequently Asked Questions

Make Reliability Measurable

Tell us how your product is used, how often incidents happen and what reliability your customers expect. We will assess your system and send a reliability roadmap.