SRE services · Managed SRE · FinOps consulting
Reliability engineered.
Costs governed.
We make reliability and cloud cost measurable and governable: service-level objectives tied to business outcomes, disciplined incident response, and FinOps governance that keeps spend 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
Up to 40%Cloud cost savings identified in selected engagements
Up to 70%Reduction in mean time to detect
99.9%SLO targets agreed and tracked with clients
Up to 50%Fewer P1 incidents after implementation
Indicative outcomes from selected client engagements. Results depend on scope, environment and starting maturity.
The challenge
Your systems run. But do they
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
1
No SLOs definedReliability targets are informal — "we try to stay up" isn't an SLO
2
Incidents are reactiveYou find out about outages from customers, not your monitoring
3
No error budgetsFeature teams ship regardless of reliability impact — there's no governor
4
Cloud bill surprisesMonthly cloud invoices regularly exceed forecast with no clear cause
5
Runbooks don't existIncident response depends entirely on who's on call and their memory
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
How we deliver
How we build SRE & FinOps practices
A phased approach that builds lasting reliability culture — not just tooling deployments.
01
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
02
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
03
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
04
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
05
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
Platforms & tools
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
Client engagement
SRE transformation at one of India's largest NBFCs
SRE & DevOps · Financial Services
95%+ CI/CD automation and up to 50% faster releases
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
As reported by the client: a 95%+ automation success rate, release cycles up to 50% shorter, and a measurable improvement in reliability posture — moving the organisation from reactive firefighting to proactive platform ownership.
Technologies
GitLab CIJenkinsTerraformPrometheusSplunkNew RelicAzureDockerKubernetesAnsible
Client
One of India's largest NBFCs
95%+Automation rate
Up to 50%Cycle time reduction
AutomatedRelease process
<15minMTTA post-implementation
Questions
Common questions about SRE & FinOps
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.
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.
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.
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.
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.
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