~/services

Specialist consulting services across the platform stack

Eight core service areas with problem statements, scope, deliverables, stack, timeline, and service-specific CTAs.

BetterCallDevOps is a specialist consulting practice — a senior platform engineering team delivering cloud platform, DevSecOps, Azure AI/MLOps, SRE, observability, security, and automation work. Additional specialists are brought in when a project needs deeper domain coverage.

All security testing, scanning, patching, and production changes require written authorization, an agreed scope, and an approved change window.

infrastructure

Kubernetes & AKS Engineering

Production AKS platform design with isolation, autoscaling, and safe rollout patterns.

AKSHelmkubectlAzure CNIPrometheus/Grafana

expand ↓

Problem

AKS clusters are created quickly but lack durable node-pool strategy, RBAC boundaries, and rollout safety under production load.

Target buyer

Teams introducing or hardening Azure Kubernetes Service for production workloads.

Includes

›Cluster architecture and node pool strategy (system vs. user pools, spot instances)
›HPA/VPA and Cluster Autoscaler tuning
›RBAC hardening and network policies
›Namespace isolation and workload boundaries
›Zero-downtime deployment patterns (rolling, blue-green, canary)
›Cost-per-workload visibility

Deliverables

›AKS reference design notes
›Hardening checklist
›Ops runbook outline

Typical timeline: Assessment 3–7 days · reliability sprints typically 2–4 weeks
Starting price: From ₹15,000 assessment · From ₹50,000 reliability sprint

Client prerequisites

›Cluster access
›Workload inventory
›Change window agreement

Out of scope

›Unauthorized cluster probing
›Full multi-cluster rebuilds unless scoped

Request AKS platform discussion

infrastructure

CI/CD Pipeline Engineering

Jenkins and GitLab pipelines engineered for gated, reviewable releases with rollback paths.

JenkinsGitLab CI/CDDockerHelm

expand ↓

Problem

Delivery speed without security gates and approval boundaries creates avoidable production risk.

Target buyer

Engineering teams modernizing Jenkins or GitLab CI/CD for safer releases.

Includes

›Jenkins and GitLab CI pipeline design (build → test → scan → deploy → rollback)
›Automated artifact and dependency vulnerability gates
›Environment promotion with approval gates
›Rollback automation and deployment health checks

Deliverables

›Pipeline review or implementation for agreed repos
›Gate and approval model
›Release documentation

Typical timeline: Review 3–7 days · implementation sprint typically 2–4 weeks
Starting price: From ₹20,000 review · From ₹40,000 implementation sprint

Client prerequisites

›Repo access
›Target environments
›Release owners

Out of scope

›Application feature development
›Unlimited legacy job migration

Discuss CI/CD modernization

infrastructure

Azure Cloud Architecture & Cost Optimization

Azure landing zones, edge design, and cost governance with commercial transition support.

ARM/TerraformAzure Cost ManagementAzure Advisor

expand ↓

Problem

Cloud estates grow ad hoc — networks, identities, environments, and spend become hard to change safely.

Target buyer

Technology organizations standardizing Azure before scale or compliance pressure rises.

Includes

›VM, Load Balancer, and Application Gateway design
›Azure SQL Managed Instance setup
›Cost audits (rightsizing, reserved instances, unused resource cleanup)
›Azure CSP-to-EA transition planning
›Azure-to-AWS migration assessment

Deliverables

›Landing-zone / foundation recommendations
›Cost-impact notes
›Implementation backlog

Typical timeline: Typically 1–3 weeks for assessment; implementation scoped separately
Starting price: From ₹15,000 readiness assessment · migration by scoped proposal

Client prerequisites

›Azure read access (write as agreed)
›Architecture constraints

Out of scope

›Application feature development
›Unmanaged vendor negotiations

Request a Cloud/AKS Assessment

security

DevSecOps, VAPT & Compliance

Authorized vulnerability programs, remediation governance, and compliance-ready evidence.

NessusOWASP ZAPAzure WAFSIEM integration

expand ↓

All security testing, scanning, exploitation validation, and production changes are performed only with written authorization and an agreed scope.

Problem

Scan findings accumulate without ownership; security testing boundaries and closure evidence are unclear.

Target buyer

Teams needing authorized vulnerability work and remediation governance.

Includes

›Recurring Nessus scans with defined CVE remediation SLAs
›Authorized vulnerability assessment coordination
›PCI DSS control mapping
›ISMS/ISO 27001-aligned evidence preparation
›WAF policy design and CDN-layer security

Deliverables

›Authorized scope support
›Prioritized remediation backlog
›Closure evidence notes

Typical timeline: Review days · remediation sprints per cycle
Starting price: From ₹20,000 remediation review · ongoing programs by proposal

Client prerequisites

›Written authorization
›Asset inventory
›Emergency contacts

Out of scope

›Unsolicited scanning
›Exploitation outside agreed rules of engagement

Request authorized security discussion

reliability

SRE & Incident Response

Service Level Objective (SLO) design, on-call readiness, and Mean Time To Recovery (MTTR) reduction.

PagerDuty/Opsgenie-style alertingGrafana

expand ↓

Problem

Reliability is aspirational — alerts, on-call, and RCA habits are undefined when incidents hit.

Target buyer

Teams ready to professionalize operations beyond reactive paging.

Includes

›SLO/SLI definition and error-budget policy
›On-call runbook creation
›RCA framework and postmortem culture
›Alert tuning to reduce MTTR

Deliverables

›SRE readiness notes
›SLO/error-budget framing
›Incident/RCA templates and runbook structure

Typical timeline: Typically 1–3 weeks for readiness design
Starting price: Scoped after discovery (often paired with observability work)

Client prerequisites

›Critical journeys identified
›Access to incident/monitoring history

Out of scope

›Guaranteed uptime percentages
›24/7 staffing unless contracted

Discuss a reliability problem

reliability

Monitoring & Application Performance Management (APM)

Custom monitoring platforms and APM setup for latency, errors, and dependency visibility.

PrometheusGrafanacustom Node.js/Python toolingAzure Monitor

expand ↓

Problem

Latency and dependency failures are discovered by customers, not dashboards or traces.

Target buyer

Teams needing Application Performance Monitoring (APM) and actionable telemetry.

Includes

›Custom real-time infrastructure monitoring platforms built to spec
›APM setup (latency tracing, error rate tracking, dependency mapping)
›Unified dashboards for infra, security, and cost
›SIEM event correlation

Deliverables

›Observability review or setup for agreed scope
›Dashboard/alert starter pack
›Ops handover notes

Typical timeline: Review days · setup typically 2–4 weeks
Starting price: From ₹20,000 review · broader setup by scoped proposal

Client prerequisites

›App/runtime access
›Chosen observability stack

Out of scope

›Vendor license purchases
›Unlimited custom instrumentation

Discuss observability/APM

data

Database Administration & CDC

Durable data operations with replication, failover design, and Change Data Capture (CDC) pipelines.

MSSQLMySQLAzure SQL Managed InstanceRedisDebezium/CDC tooling

expand ↓

Problem

Data paths lack durable replication, failover practice, or governed near-real-time sync.

Target buyer

Teams operating MSSQL/MySQL/Azure SQL and caching layers in production.

Includes

›MSSQL/MySQL administration
›Replication and failover design
›Change Data Capture (CDC) pipeline implementation
›Query performance tuning
›Managed Redis setup

Deliverables

›Ops/replication/CDC design for agreed scope
›Failover/run notes
›Caching strategy recommendations

Typical timeline: Assessment 1–3 weeks · implementation scoped separately
Starting price: Request a scoped proposal for migrations and multi-store programs

Client prerequisites

›DB access with agreed privileges
›RPO/RTO targets where relevant

Out of scope

›Unmanaged data loss guarantees
›Unlimited schema redesign

Discuss data platform work

automation

On-Demand Automation Tooling

Governed automation for dashboards, chatops, webhooks, and self-service infra workflows.

Node.jsPythonAzure FunctionsREST/webhook APIs

expand ↓

Problem

Manual tasks repeat weekly; scripts accumulate without audit trails or failure paths.

Target buyer

Teams ready for governed automation rather than uncontrolled scripting.

Includes

›Custom internal dashboards built to exact spec
›Slack/Teams-integrated bots
›Webhook-driven automation connecting existing tools
›Self-service infra provisioning

Deliverables

›Automation discovery map
›POC or first production automation for agreed scope
›Ops/audit notes

Typical timeline: Discovery 3–7 days · builds scoped separately
Starting price: From ₹15,000 discovery · implementation by proposal; Priced per tool complexity, quoted after a 20-minute scoping call.

Client prerequisites

›Success criteria
›System access/permissions

Out of scope

›Unaudited production scripts without approval path

Request automation discovery

Azure AI Platform & MLOps Engineering

Production Azure AI Foundry, model deployment, tracing, and governed LLM operations on Azure.

Azure AI FoundryAzure OpenAIAzure Machine LearningApplication InsightsAKSHelm

expand ↓

Problem

AI features ship through ad-hoc API keys and notebooks — without model versioning, production tracing, cost controls, or safe rollout paths.

Target buyer

Teams deploying generative AI, custom models, or agent workflows on Azure who need production-grade MLOps, not prototype plumbing.

Includes

›Azure AI Foundry workspace design and model deployment (Azure OpenAI, hosted models, custom endpoints)
›Prompt and flow orchestration with versioned promotion paths
›Production tracing, evaluation hooks, and Application Insights / Foundry observability integration
›Private networking, RBAC, and content-safety boundaries for production AI paths
›Token and compute cost governance with budgets, alerts, and usage dashboards
›CI/CD for prompts, model versions, and inference endpoints on AKS or managed AI services

Deliverables

›AI platform reference design for agreed scope
›Model deployment and tracing baseline
›Cost and safety governance checklist
›Handover runbook for model promotion and rollback

Typical timeline: Assessment 3–10 days · platform sprint typically 2–4 weeks
Starting price: From ₹20,000 readiness review · implementation by scoped proposal

Client prerequisites

›Azure subscription access
›Use-case and data-handling constraints documented
›Model/provider choices or evaluation criteria

Out of scope

›Foundation model training from scratch unless scoped
›Unlimited custom fine-tuning across all product surfaces
›Data labeling or ML research without platform delivery scope

Discuss Azure AI / MLOps work

next step

Have a delivery, platform, or reliability problem?

Request a Cloud/AKS assessment or start a scoped discussion. BetterCallDevOps engagements begin with discovery and a written scope.

Request a Cloud/AKS Assessment Explore Reference Architectures

We respond to assessment and inquiry requests within 1 business day.