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Site Reliability Engineering

SRE is not a job title, it is an operating philosophy. Tallence embeds SLOs, error budgets, and automation into your operating model so your team ships faster while increasing system stability.

Site Reliability Engineering

Site Reliability Engineering

Reliability as an engineering discipline.

Traditional IT operations react to problems. SRE prevents them. By connecting software engineering methods with IT operations, a system emerges that becomes more reliable over time, not despite growth, but because of the right automation.

Tallence brings SRE principles to your organisation: SLOs that reflect your business goals, error budgets that balance innovation and stability, and automation that eliminates manual work.

50%Reduction in manual operational tasks through automation
< 1hMean time to incident detection
99.9%Target availability for critical services
24/7Monitoring & alerting

What is Site Reliability Engineering?

Definition

Site Reliability Engineering (SRE) treats operations as a software problem. Your team sets measurable reliability targets (SLOs), tracks them with error budgets, and automates every repetitive task that pulls engineers away from building product. The outcome: fewer incidents, faster deployments, lower on-call burden.

Traditional operations teams react to outages. SRE teams prevent them. They write code that monitors, repairs, and scales systems before users notice a problem. When the error budget is healthy, the team ships features. When it runs low, stability takes priority.

Google introduced SRE to resolve the tension between development speed and operational stability. Tallence brings these practices to mid-market AWS environments where dedicated SRE headcount is rare but the need for reliable systems is not.

Read the full glossary entry

SLOs & error budgets

Measure what matters to your customers.

Service level objectives define what reliability means for your users. Error budgets give your team the freedom to innovate without compromising stability.

SLO DashboardLive monitoring
API availability

Target

99.9%

Current

99.94%

Successful requests

Target

99.5%

Current

99.71%

Response time (p95)

Target

< 200ms

Current

142ms

Error rate

Target

< 1%

Current

0.3%

Example values for illustration. Your SLOs are defined together with your team.

SRE principles

The five pillars of SRE.

01

SLOs over SLAs

An SLA tells you when you get compensated. An SLO tells your team when to act. The difference is hours.

02

Error budgets

If 0.1% error rate is the budget, the team can deploy. Once it's spent, stability takes priority over new features.

03

Toil reduction

Any task a person runs the same way every week belongs in a pipeline. Google treats 50% as a hard ceiling.

04

Blameless postmortems

After an incident, the team asks: what system weakness made this possible? Not: who made the mistake?

05

Gradual rollouts

1% of users see the new release first. If error rates climb, the system rolls back automatically.

SRE tools

The tools for reliable systems.

Tallence uses proven observability and automation tools that integrate into your existing AWS environment.

Amazon CloudWatch

Metrics, logs, and alarms for all AWS services. The foundation for SLO monitoring and automatic alerting.

AWS X-Ray

Distributed tracing for microservices. Identifies latency bottlenecks and error sources in distributed systems.

Amazon Managed Grafana

Dashboards for SLO tracking, error budget visualisation, and operational metrics.

Amazon Managed Prometheus

Kubernetes-native metrics for container workloads on EKS and hybrid environments.

AWS Systems Manager

Automated operational tasks, patch management, and runbook execution without manual intervention.

AWS Lambda

Serverless automation for remediation workflows, auto-scaling triggers, and incident response.

Automation vs. manual operations

What SRE concretely changes.

The difference between reactive IT operations and proactive SRE in practice.

Area
Manual operations
With SRE
Incident detection

Users report problems

Automatic alerting before user impact

Deployments

Manual, high-risk

Automated, canary, rollback in minutes

Capacity planning

Reactive after outages

Proactive based on SLO trends

Postmortems

Blame, no system improvement

Blameless, structured, actions tracked

On-call burden

High, reactive, burnout risk

Reduced through automation and clear escalation

Service scope

What we build together.

Six work areas we run through with your team. Each one with a concrete deliverable.

01 / 06

SLO workshop

We analyse your most critical user journeys and derive measurable targets from them: availability, latency, error rate. The output is an SLO document your team and stakeholders have signed off on together.

Why Tallence

SRE needs experience, not just methodology.

Telco DNA

We have operated platforms for millions of users. That experience flows into every SRE engagement.

Measurable improvements

Every measure gets a baseline and a target. After 90 days, you see in numbers what has changed.

Knowledge transfer

We work with your team, not for it. After the engagement, your engineers can run SRE processes on their own.

Integrated in managed services

SRE practices are part of Tallence Cloud Foundation and Container Operations.

FAQ

Frequently asked questions

More questions? Talk directly to our SRE team.

Ask a question

Next step

The foundation for SRE: your AWS landing zone.

SRE needs a stable platform. Tallence Cloud Foundation delivers it.

Go to Cloud Foundation
FD
Reviewed byFrank DreilichSenior System EngineerLinkedIn

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