SRE & FinOps

Reliability engineered.
Costs governed.

We embed SRE discipline — SLOs, error budgets, chaos engineering — into your engineering culture, and bring FinOps governance to your cloud spend so systems stay reliable and bills stay predictable.

What we deliver

SLO/SLI DefinitionError budgets and reliability targets aligned to business outcomes

Observability StackELK, Prometheus, Grafana, OpenTelemetry — full-stack visibility

Incident ManagementPagerDuty, runbooks, post-mortems, MTTR reduction

FinOps GovernanceCost audits, rightsizing, reserved instances, waste elimination

Chaos EngineeringLitmusChaos, Gremlin, GameDays — build confidence in resilience

40%Cloud cost saved on average

70%Reduction in mean time to detect

99.9%SLO targets consistently met

50%Fewer P1 incidents post-implementation

The problem

Your systems run. But do they
run reliably?

Most engineering teams track uptime. Few track what uptime actually means to the business — which transactions matter, which latency thresholds affect revenue, and which failure modes have never been rehearsed.

SRE is not a tool you buy. It's an engineering practice you build — SLOs tied to business outcomes, error budgets that govern feature velocity, runbooks that actually work at 3am, and chaos tests that build confidence rather than fear.

FinOps is the same story. Cloud spend grows by default. Governing it requires shared accountability, continuous rightsizing, and a framework that makes cost a first-class engineering concern — not an afterthought surfaced by the finance team at month-end.

Signs your SRE & FinOps maturity is low

No SLOs definedReliability targets are informal — "we try to stay up" isn't an SLO

Incidents are reactiveYou find out about outages from customers, not your monitoring

No error budgetsFeature teams ship regardless of reliability impact — there's no governor

Cloud bill surprisesMonthly cloud invoices regularly exceed forecast with no clear cause

Runbooks don't existIncident response depends entirely on who's on call and their memory

Core capabilities

SRE & FinOps practice areas

From SLO definition to chaos engineering — we build the reliability and cost discipline your systems need.

SLO & SLI Definition

We work with your engineering and product teams to define Service Level Objectives tied to actual business outcomes — not arbitrary uptime percentages.

SLI selection aligned to user-facing reliability signals
SLO target setting with business stakeholder alignment
Error budget policy definition and governance
SLO dashboards in Grafana, Datadog, or Nobl9
Reliability review cadences and budget burn alerts

Observability Engineering

Full-stack observability implementation — logs, metrics, traces, and synthetic monitoring — so you have a single source of truth for system health across every layer.

ELK Stack deployment, tuning, and log pipeline design
Prometheus + Grafana metrics and alerting architecture
Distributed tracing with Jaeger and OpenTelemetry
Synthetic monitoring and uptime checks
Custom dashboards aligned to SLO burn rates

Incident Management

Structured incident response processes, tooling, and culture — so when things go wrong, the response is fast, coordinated, and leaves the system stronger than before.

On-call rotation design and escalation policies
PagerDuty / OpsGenie configuration and runbook integration
Incident command structure and communication templates
Blameless post-mortem facilitation and tracking
MTTR reduction through automation and playbooks

FinOps & Cloud Cost Governance

Cloud spend made visible, predictable, and continuously optimised. We implement FinOps as an engineering discipline — not a monthly report nobody reads.

Cloud spend audit and waste identification
Reserved instance and savings plan analysis and procurement
Spot and preemptible instance automation strategies
Kubernetes resource rightsizing and bin-packing
Tagging strategy and cost allocation frameworks

Chaos Engineering

Build confidence in your system's resilience by intentionally injecting failure in a controlled way — before production does it for you.

Chaos experiment design aligned to failure hypotheses
LitmusChaos, Gremlin, and AWS Fault Injection Simulator
GameDay facilitation and results analysis
Blast radius analysis and rollback planning
Chaos maturity model and progressive adoption roadmap

Platform Engineering

Internal developer platforms that reduce toil, standardise delivery, and give engineering teams golden paths to production — without sacrificing flexibility.

Backstage internal developer portal implementation
Golden path templates for services, pipelines, and infra
Self-service environments and on-demand infrastructure
Developer experience metrics and friction reduction
Platform reliability and SLO ownership

Our methodology

How we build SRE & FinOps practices

A phased approach that builds lasting reliability culture — not just tooling deployments.

Baseline Assessment

We audit your current reliability posture — uptime history, incident patterns, on-call burden, observability coverage, and cloud spend composition.

Incident history and MTTR analysis
Observability gap assessment
Cloud spend and waste analysis
On-call burden and toil measurement
SLO maturity scoring

Define & Design

Set the target state — SLOs, error budgets, alert thresholds, cost governance frameworks — aligned to business priorities.

SLI selection and SLO target definition
Error budget policy and governance model
Alert hierarchy and noise reduction strategy
FinOps tagging and allocation framework
Runbook template design

Implement

Deploy the tooling and processes — observability stacks, alerting, incident workflows, FinOps dashboards — with your team hands-on throughout.

Observability stack deployment and tuning
Alert configuration and SLO burn rate alerting
PagerDuty / OpsGenie setup and escalation policies
FinOps dashboard and cost allocation implementation
Runbook documentation and automation

Chaos & Validate

Run structured chaos experiments to validate your system's actual resilience against theoretical resilience — and fix the gaps.

Failure mode analysis and experiment design
Controlled chaos experiment execution
GameDay facilitation and outcome tracking
Remediation prioritisation
Confidence baseline establishment

Operate & Improve

Ongoing SRE operations — monthly reliability reviews, FinOps optimisation, error budget tracking, and continuous improvement of reliability posture.

Monthly SLO performance reviews
FinOps optimisation reviews and recommendations
Error budget burn trend analysis
Incident retrospective tracking
Quarterly reliability health checks

Technology stack

Tools we deploy and operate

Best-in-class observability, incident management, and FinOps tooling — configured for your environment.

Observability

ELK StackElasticsearch, Logstash, Kibana, Beats, APM

PrometheusMetrics collection, alerting, Thanos

GrafanaDashboards, Loki, OnCall, SLO tracking

Jaeger / OTELDistributed tracing, OpenTelemetry SDK

Incident Management

PagerDutyOn-call schedules, escalation, runbooks

OpsGenieAlerting, on-call, stakeholder notifications

FireHydrantIncident response, retrospectives

StatuspageCustomer communication during incidents

FinOps

AWS Cost ExplorerSpend analysis, rightsizing recommendations

Azure Cost MgmtBudgets, alerts, reservation analysis

Spot.ioSpot instance automation, Ocean K8s

Apptio / CloudabilityFinOps reporting and allocation

Chaos & Reliability

LitmusChaosKubernetes-native chaos experiments

GremlinInfra and application fault injection

AWS FISAWS Fault Injection Simulator

Chaos MeshNetwork, pod, and node chaos on K8s

Success story

SRE transformation at a leading NBFC

SRE & DevOps · Financial Services

95%+ CI/CD automation and 50% release cycle improvement

Challenge

Manual, error-prone deployments were creating compounding reliability risk in a regulated financial environment. No SLOs were defined, incident response depended on individual memory rather than runbooks, and cloud costs were ungoverned.

Solution

Sminetech implemented CI/CD pipelines, SRE practices, and DevSecOps controls across the client's Azure environment. SLOs were defined, error budgets established, PagerDuty configured with runbooks, and a FinOps governance framework introduced.

Impact

95%+ automation success rate, 50% reduction in release cycle time, and a measurable improvement in reliability posture — moving the organisation from reactive firefighting to proactive platform ownership.

Technologies

GitLab CIJenkinsTerraformPrometheusSplunkNew RelicAzureDockerKubernetesAnsible

Client

Leading Regulated Financial Institution — High-transaction NBFC

95%+Automation rate

50%Cycle time reduction

ZeroManual release steps

<15minMTTA post-implementation

Frequently asked questions

Common questions about SRE & FinOps

What's the difference between SRE and traditional operations? ›

Traditional ops focuses on keeping systems running reactively. SRE is a proactive engineering discipline — it uses software engineering techniques to solve operational problems. SRE teams define SLOs, own error budgets, automate toil, and treat reliability as a product feature.

How long does it take to see FinOps results? ›

Most clients identify significant recoverable spend in the first 2-week assessment. Quick wins like unused resource cleanup and oversized instance rightsizing can be implemented within 30 days. Structural optimisations like reserved instance strategies and Kubernetes bin-packing typically deliver full results within 60–90 days.

Do we need to replace our existing monitoring tools? ›

Not necessarily. We work with what you have and fill the gaps. If you already have Datadog or New Relic, we complement rather than replace. We do assess tooling effectiveness and may recommend consolidation if you're paying for overlapping capabilities.

What does chaos engineering actually involve day-to-day? ›

We start by identifying your most critical failure modes and designing experiments to test your system's response. Experiments start small (pod failures, network latency injection) and increase in scope as confidence builds. We run GameDays — structured exercises where teams practise incident response against real failure scenarios in a controlled environment.

Can SRE practices work in regulated industries like BFSI? ›

Absolutely — in fact, regulated industries benefit most from SRE practices. SLOs provide auditable reliability commitments, error budgets create a governance mechanism for change velocity, and structured post-mortems create the documentation trail that regulators require.

Related services

Reliability engineered.Costs governed.

Your systems run. But do theyrun reliably?