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
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
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
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.
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 entrySLOs & 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.
Target
99.9%
Current
99.94%
Target
99.5%
Current
99.71%
Target
< 200ms
Current
142ms
Target
< 1%
Current
0.3%
Example values for illustration. Your SLOs are defined together with your team.
SRE principles
The five pillars of SRE.
SLOs over SLAs
An SLA tells you when you get compensated. An SLO tells your team when to act. The difference is hours.
Error budgets
If 0.1% error rate is the budget, the team can deploy. Once it's spent, stability takes priority over new features.
Toil reduction
Any task a person runs the same way every week belongs in a pipeline. Google treats 50% as a hard ceiling.
Blameless postmortems
After an incident, the team asks: what system weakness made this possible? Not: who made the mistake?
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.
Users report problems
Automatic alerting before user impact
Manual, high-risk
Automated, canary, rollback in minutes
Reactive after outages
Proactive based on SLO trends
Blame, no system improvement
Blameless, structured, actions tracked
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.
Next step
The foundation for SRE: your AWS landing zone.
SRE needs a stable platform. Tallence Cloud Foundation delivers it.
Contact
How reliable are your systems really?
We analyse your current operational maturity and show you where SRE makes the biggest difference.
No standard approach. We start with your systems and your goals.
