Build and Run are Usually Two Different Contracts
One vendor writes the code. Another operates it. The gap between them is where incidents live. Enterprise product work fails at that seam more often than it fails at the code.
- Architecture decided without knowing who will operate the result
- Observability added after the first outage, not before launch
- Runbooks written by people who never ran the system
- Incidents become a negotiation about whose fault it was
- Nobody is measured on availability, only on delivery dates
- Architecture chosen against the operational cost of running it
- Observability, SLOs, and alerting defined during the design phase
- Runbooks written by the on-call engineers who use them
- Incidents have a single owner and a published response time
- The same team is measured on both delivery and availability
Discovery to Production, Without a Handoff
Requirement Analysis
Domain modelling, stakeholder interviews, and non-functional requirements defined before a single architecture decision gets made.
Target Architecture
A written architecture with the operational cost of each option priced in before the team commits to it.
Platform and product
Infrastructure as code, CI/CD, and product engineering run in parallel, in two-week increments against agreed scope.
Testing and Security
Automated testing, security scanning, and staging rollback drills run inside the pipeline, not after the fact.
Production Readiness
A resilient production foundation enables confident launches and adapts continuously as per product usage and business demands.
What We Contract To, Not What We Aspire To
These are measured commitments, not aspirational targets. Each one is backed by a specific evidence source, and stricter thresholds are available where the workload justifies them.
| Measure | COMMITMENT | How It's Evidenced |
|---|---|---|
| Platform availability | 99.95% | Independent uptime monitoring, credits defined in the MSA |
| Mean time to restore | < 1 hour | Alerting system timeline, post incident review inside five days |
| Deployment frequency | Daily | Pipeline telemetry, reported weekly from the first sprint |
| Lead time for change | < 1 day | Change-to-release timestamps tracked per service over time |
| Change failure rate | < 15% | Deployment records checked against incident records, reported weekly |
| Critical vulnerability remediation | < 48 hours | Scanner output in the pipeline, reported weekly, exception process if no fix exists |
| Executive escalation | < 4 hours | Published escalation path, direct to the CTO or CEO |
Engagement Commitments
Six Things That are True on Every Engagement
Everything is Infrastructure as Code
No environment exists that wasn't provisioned from a repository. Rebuilding your platform from scratch is a pipeline run, not a project.
Delivery Metrics From Sprint One
Your delivery performance is visible before you ask for it. The numbers your team will eventually audit are already public by week one.
Observability Before Launch
Logging, tracing, and alerting go live with the service, not after an incident. You don't find out what your system does during its first outage.
Security Checks Run on Every Commit
SAST, dependency scanning, and IaC policy checks execute on every commit, building audit evidence continuously as the team ships.
Every Release Can Be Rolled Back
Progressive delivery with automated rollback triggers turns a bad deployment into a five-minute fix instead of an incident.
No operational lock-in
Nothing here depends on us staying involved. Your cloud accounts, your repositories, and your code stay under your control from commit one.
Different Ways to Get an Enterprise System Built and Operated
An honest read of where each option fits, including where we are not the answer. Compare them on ownership, cost, and who is accountable when it breaks.
| In-house platform team | Project dev shop | eSparkBiz | Systems integrator | |
|---|---|---|---|---|
| What You're Buying | Permanent capability | A delivered scope | A system, built and operated | A transformation programme |
| Owns production | ✓ You | ✕No, hands over at launch | ✓ Yes, under SLO | ~ Separate managed-services contract |
| Availability Commitment | Whatever you set | ✕None | ✓ Contractually defined, service-backed | ✓ Yes, priced separately |
| Delivery Visibility | Your own metrics | ~Status reports | ✓ Weekly delivery metrics, from sprint one | ~ Programme-level reporting |
| Time to first production release | ✕ 6 to 12 months, including hiring | ✓ 8 to 12 weeks | ✓ 8 to 12 weeks, on a production-ready platform | ✕ 6+ months |
| Total cost over three years | Highest, between salaries, on-call, and attrition | ✓Lowest build cost, run cost lands on you | ~ Mid, build and run in one line | ✕ Two to four times ours |
| IP and Infrastructure | ✓ Yours | ~Usually yours, check the contract | ✓ Yours, and nothing to migrate if you leave | ~ Often licensed back |
| Best When | The platform is your core product, permanent | Scope is fixed and you already operate platforms well | You need a system engineered and run, with one party accountable | Multi-year, board-sponsored transformation |
Systems We Built and Still Operate
Case studies usually stop at launch. Ours keep going, because we are still operating every system listed below, months or years after it shipped.
Sports engagement platform increased fan participation by 3x through gamified digital experiences
Learning platform increased student engagement by 3x through an AI-enabled collaborative education ecosystem
Fitness platform increased member retention through personalized health tracking and coaching automation
Pick the Model That Matches your Scope
We price the system and the service level, not the hours. Which model fits depends on how defined the scope is and whether you want us running it afterwards.
A structured engineering engagement taking a defined product from requirements through production deployment.
- →Defined scope and deliverables
- →Integrated engineering and testing
- →Milestone-based delivery governance
- →Complete technical transition package
An integrated engagement combining product engineering with continuous production management and optimisation.
- →Recurring commercial structure aligned
- →Production reliability actively managed
- →Dedicated operational ownership include
- →Continuous performance optimisation delivered
A managed engagement improving reliability, visibility, performance, and operational control across existing systems.
- →Initial platform health assessment
- →Operational risks systematically prioritised
- →Monitoring and observability strengthened
- →Modernisation opportunities strategically planned
The Questions an Engineering Leader Would Ask
Every question here has come up on a real evaluation call. Reading them now means your team spends its time on the ones that are actually specific to you.
What makes eSparkBiz different from other Product Engineering Companies?
We pair CMMI Level 3 and ISO certified processes with senior in-house engineers, taking your product from concept to scalable, market-ready reality, backed by 15+ years of engineering experience.
How does the company ensure the quality and expertise of its engineering teams?
Every hire passes a rigorous multi-stage filtering process, selecting the top 10% of applicants for technical skill, communication, and cultural fit before joining your project.
What engagement models are available, and how do we choose the right one?
We offer IT Staff Augmentation, Dedicated Teams, Managed Capacity and Offshore Development Center models. Our team helps you select or combine models based on your project’s scale and timeline.
How does eSparkBiz handle data security, IP protection, and compliance for enterprise clients?
We sign strict NDAs and enforce access controls, firewalls, and data recovery protocols, ensuring your intellectual property and sensitive business data remain fully protected.
Can your team integrate smoothly with our existing in-house workflows?
Yes. Our engineers adapt to your tools, processes, and communication cadence, functioning as an extension of your internal team rather than a separate external vendor.
What industries and project types does eSparkBiz have proven experience in?
We’ve delivered solutions across healthcare, finance, eCommerce, logistics, and SaaS, handling everything from MVP builds to complex, large scale enterprise platform development.
What does the onboarding process look like once we decide to partner with you?
After scoping your requirements, we assign a vetted team, align on tools and workflows, and begin delivery within days, not weeks.
Why Partner
Everything Procurement and Security Will Ask For
With 400+ vetted professionals and 1,000+ projects delivered, we bring proven engineering expertise, enterprise-grade governance, and scalable AI capabilities to complex technology initiatives.
1,000+ Projects Delivered
AWS Certified Solutions Practice
Multi-cloud: AWS, Azure, GCP
Depth in AI, Cloud, Blockchain
10+ Time Zones Served
ISO 27001:2022 Information Security
ISO 9001:2015 Quality Management
SOC 2 Audited Controls
CMMI Level 3 Appraised Process
100% NDA-protected Engagements
Incorporated 2010, India
DUNS 650816981
CIN U72900GJ2013PTC073284
HubSpot Solutions Partner
US Entity Registered, Delaware
We Hire for Depth, then Retain People long enough for it to Compound
Leadership continuity is deliberate. The same hiring standard applies at every level. Engineers stay with products long enough to understand the business behind them, which is why clients rarely need to re-explain their domain or rebuild context.
If you're a senior engineer or architect who wants to own something end-to-end rather than rotate between accounts, we're usually hiring.