Accelerating Innovation with Platform Engineering: The Mphasis Approach

In the modern era of cloud-native, microservices, and AI-infused applications, Platform Engineering has emerged as a strategic discipline that enables organizations to scale development, standardize operations, and deliver software faster with fewer errors. Enterprises increasingly adopt internal developer platforms (IDPs), automation, observability, and self-service tooling to free developers from infrastructure wrangling and let them focus on business logic.

1. Accelerating Innovation with Platform
Engineering: The Mphasis Approach
How Platform Engineering enhances developer productivity, reliability, and
scalability — and how Mphasis leads the way
Introduction
In the modern era of cloud-native, microservices, and AI-infused applications, Platform
Engineering has emerged as a strategic discipline that enables organizations to scale
development, standardize operations, and deliver software faster with fewer errors.
Enterprises increasingly adopt internal developer platforms (IDPs), automation,
observability, and self-service tooling to free developers from infrastructure wrangling and let
them focus on business logic.
For companies seeking to capitalize on this transformation, partnering with a platform
engineering leader like Mphasis can offer not just tooling but a complete mindset,
governance, and execution capability. In this blog, we dive deep into the role of platform
engineering, its trends for 2025, best practices, and how Mphasis’ offerings (such as
NeoCrux and integrated engineering services) align to deliver enterprise-grade platform
solutions.
What Is Platform Engineering?
Platform engineering is the practice of creating and maintaining a self-service internal
platform (often called an internal developer platform or IDP) that abstracts away
infrastructure, middleware, and operational complexity from development teams. The goal is
to provide developers with approved, composable building blocks — such as APIs, service
templates, deployment pipelines, observability, and security guardrails — so they can deploy,
test, monitor, and iterate faster without needing deep platform or ops knowledge.
Key elements of platform engineering include:
• Platform as a Product mindset — treating the internal platform as a product, with
roadmaps, SLAs, feedback loops, and user experience (developer experience, or DX)
• Self-service tooling & abstraction — providing a clean interface (portal, API, CLI)
through which developers provision environments, deploy services, or consume
common microservices
• Automation, Infrastructure as Code (IaC), and CI/CD pipelines — embedding
repeatable, reliable workflows
• Observability, monitoring, logging, and metrics integrated into the platform
• Security, compliance, and governance guardrails built into the platform by default
(shift-left security)
• Scalability, reliability, and operational support — the platform must manage
resource scaling, failures, and upgrades transparently

2. As adoption grows, platform engineering becomes a foundational capability for software-
driven enterprises.
Why Platform Engineering Matters (and Why It’s
Trending)
The rise of platform engineering is not just hype. In 2025, several forces converge to make it
almost mandatory for high-performing engineering organizations:
1. Developer Productivity Gains & Reduced Cognitive Load
Developers spend too much time managing infrastructure, deployment configs, environment
setup, and tooling issues. A well-built platform abstracts these concerns, letting engineers
focus on delivering business value.
2. Standardization & Consistency at Scale
In large organizations with dozens or hundreds of teams, enforcing consistent tooling,
architecture patterns, logging, monitoring, and security practices is challenging. A platform
helps centralize and standardize those patterns.
3. Faster Time to Market & Continuous Delivery
With self-service, automation, and approved templates, teams can spin up environments,
deploy features, and test faster — shortening lead time for changes, one of the DORA metrics
of software delivery performance.
4. Embedded Observability & Reliability
Platform engineering helps bake in observability, error detection, auto-recovery, and
resilience patterns across all microservices and infrastructure, improving overall reliability.
5. Security & Compliance by Design
Rather than bolting security later, platform engineering enables shift-left security, where
policy, access control, identity, compliance, and audit are integrated into the developer
workflow.
6. Emergence of AI & Agentic Platform Automation
Platforms in 2025 are increasingly integrating AI/ML assistance — for example, auto-
generation of pipelines, resource recommendations, anomaly detection, and intelligent
guardrails.
7. Platform Engineering as the Next Step Beyond DevOps
Many experts see platform engineering as the evolutionary next phase beyond DevOps —
moving from manual operations and tool integration to fully managed, self-service platforms.

3. A survey by Google / Cloud (with ESG) revealed that 55% of surveyed organizations have
already adopted platform engineering, and among them 85% say their developers rely on
the platform to succeed.
As more organizations mature, platform engineering is shifting from “nice to have” to a key
strategic capability.
2025 Platform Engineering Trends & Predictions
Staying current is key. Below are some of the most relevant trends shaping platform
engineering in 2025:
AI-Augmented Platform Engineering
Generative AI and agentic AI are being integrated into platform workflows—automating
pipeline generation, code scaffolding, configuration suggestions, and anomaly detection.
Wider Adoption & Democratization
Organizations beyond the largest tech firms (mid-market, enterprises in regulated industries)
are now adopting platform engineering as a core discipline.
Internal Developer Platforms (IDP) as Standard
IDPs are becoming mainstream, offering standardized environments, templates, and
orchestration across multiple cloud and hybrid infrastructure.
Embedded Security & Compliance (DevSecOps)
Platform teams increasingly embed shift-left security — security, identity, compliance are
first-class features of the developer platform.
Observability, Policy, & Governance as Core Pillars
Full-stack observability, policy enforcement, automated drift detection, and governance
become defaults on the platform.
Tooling Ecosystem Consolidation
Platform engineering tools (CI/CD, orchestrators, service mesh, policy engines, developer
portals) are becoming more integrated and composable.
Hybrid & Multi-Cloud Platform Strategy
Platforms need to support environments across public cloud, private cloud, edge, and on-
premises. Platform engineering teams will increasingly build abstraction layers to hide
heterogeneity.

4. Platform as Product & Feedback Loops
Platform teams adopt product management practices — roadmaps, stakeholder feedback,
metrics (e.g. adoption, MTTR, deployment frequency) — to evolve the platform over time.
These trends show that platform engineering is evolving rapidly, not merely as a technical
initiative, but as a central part of enterprise software strategy.
Best Practices & Pillars of a Successful Platform
Engineering Initiative
To stand apart, platform engineering efforts must follow disciplined best practices. Below are
key pillars:
1. Treat the Platform as a Product
A developer platform must have clear ownership, a roadmap, KPIs, and a well-defined user
experience. Solicit feedback, run user research, and iterate.
2. Enable Self-Service Interfaces
Provide portals, APIs, or CLIs that abstract complexity but still allow flexibility. Developers
should not have to file tickets for basic requests like provisioning a database, environment, or
service.
3. Standardize Architectural Patterns
Offer reusable building blocks (API templates, service scaffolding, pipeline templates)
enforcing consistency across teams.
4. Automate Everything
Use Infrastructure as Code (IaC), versioned configurations, automated pipelines,
blue/green deploys, canary releases — reduce the risk of manual errors.
5. Embed Observability & Monitoring
Provide default logging, metrics, alerting, tracing, dashboards, and anomaly detection.
Platform must surface issues proactively rather than shifting burden to developers.
6. Enforce Security, Compliance & Governance
Restrict risky operations, enforce policies, manage identity, role-based access, validation of
configuration, audit trails — all built into platform workflows.
7. Enable Scalability & Reliability

5. Platform should manage resource scaling, failover, upgrades, dependency management,
multi-region deployment in a resilient way.
8. Enable Extension & Flexibility
Allow teams to customize or extend the platform where needed, plug in new components, and
integrate with ecosystem tools.
9. Measure Platform Success
Track metrics like adoption rate, deployment frequency, mean time to recovery (MTTR),
lead time for changes, error rates, and platform support burden.
10. Culture, Communication & Governance
Educate teams, onboard effectively, maintain documentation, and ensure open
communication between platform team and development teams.
These best practices help avoid platform anti-patterns (e.g., ticket bottlenecks, rigid
constraints, developer frustration) and make the platform sustainable.
How Mphasis Implements Platform Engineering
Mphasis brings real-world engineering and transformation experience to platform
engineering. Below are key offerings and strengths:
NeoCrux™: The Modern Engineering Platform
Mphasis has developed NeoCrux™, a generative AI–powered engineering platform that
helps enterprises manage platform complexity with better automation, discoverability,
governance, and observability.
By using NeoCrux, clients gain:
• Discoverability of software assets, services, components
• Enforcement of best practices and governance
• Automated generation of scaffolding, pipelines, configurations
• Enhanced observability and feedback loops
This aligns directly with the trends of AI-augmented platform engineering.
Integration with Mphasis Product & Engineering Services
While platform engineering is core, Mphasis also has deep experience in product
engineering services, DevOps, architecture design, and infrastructure.
These capabilities enable them to not only build platforms but also integrate upstream and
downstream workflows from product teams.
Domain-Aware & Vertical Expertise

6. Mphasis brings domain understanding across financial services, hi-tech, logistics, telecom,
and more. This domain depth allows them to tailor platform guardrails, compliance modules,
and integrations relevant to the business.
Focus on Observability, Automation & Security
Mphasis embeds observability, governance, security, compliance checks, and automated
pipelines as part of the platform blueprint. Their enterprise automation services give
additional strength to this integration.
Scalability, Hybrid & Cloud Flexibility
They have capabilities across cloud, hybrid models, and infrastructure services, enabling
platforms to span across multiple environments seamlessly.
Innovation, AI & Future-Ready Platform Strategy
With NeoCrux and its AI-enhanced features, Mphasis is positioning itself at the forefront of
emergent platform engineering practices, especially around generative AI, observability, and
autonomous operations.
Use Cases & Impact: Platform Engineering in Action
Here are sample scenarios where platform engineering delivers real, measurable value:
• Fintech / Banking: Provide standardized APIs, deployment pipelines, compliance
modules, and secure environments for multiple development teams across the bank
network.
• Product Companies / SaaS: Offer internal platforms enabling product teams to spin
up feature modules, microservices, and environment standups with minimal overhead.
• Telecom / IoT / Edge Computing: Enable distributed service deployment, edge
orchestration, and common platform interfaces to reduce complexity.
• Retail / E-commerce: Support rapid deployment of promotions, scaling
microservices during high demand periods, dashboards, observability.
• Regulated industries (Healthcare, Insurance): Embed compliance checks, audit
logs, and governance into the platform to ensure regulatory adherence.
These architectures reduce friction, boost deployment velocity, and improve cross-team
collaboration.
How to Start Platform Engineering in Your Organization
Here’s a practical roadmap to adopt platform engineering:
1. Define Use Cases & Value Streams
Identify which teams or domains will benefit first (e.g. common microservices,
deployment, environment provisioning).

7. 2. Create a Minimal Viable Platform (MVP)
Build a minimal internal platform with basic self-service for one domain or set of
services.
3. Onboard a Pilot Team & Iterate
Select a development or product team as pilot. Gather feedback, measure metrics,
refine.
4. Establish Platform as Product Approach
Set up governance, roadmap, adopt metrics, set SLAs, and maintain feedback
mechanisms.
5. Incrementally Add Services & Capabilities
Gradually expand: more templates, observability, security, data services,
AI/automation integration.
6. Promote Developer Adoption & Enablement
Document, run workshops, provide onboarding, evangelize benefits.
7. Integrate Governance, Security & Compliance
Enforce policies, audits, identity, access management in platform workflows.
8. Measure & Iterate
Track metrics (deployment frequency, MTTR, error rates, platform support requests)
and continuously evolve.
9. Scale Platform Team & Operations
Add SRE, platform engineers, automation support to maintain and evolve the
platform.
10. Evolve to AI-driven & Autonomous Platform Capabilities
Incorporate generative AI, anomaly detection, automated resource suggestions, and
self-healing capabilities.
Key Trends for Platform Engineering in 2025
Let’s look at the cutting-edge trends shaping platform engineering:
AI-Driven Platforms & Augmented Engineering
Generative AI is actively being leveraged within platforms to automate tasks like pipeline
generation, infrastructure provisioning, anomaly detection, and guardrail enforcement.
Maturing Adoption Across Enterprises
Platform engineering is no longer confined to tech giants — organizations across domains are
beginning to adopt internal platforms to scale their engineering operations.
Observability, Policy & Governance as First-Class Citizens
Modern platforms remove the friction of monitoring and enforce drift detection, compliance,
cost policies, and security without developer configuration.
Hybrid & Multi-Cloud Support
As organizations adopt hybrid and multi-cloud models, platforms must abstract complexity
and provide consistent interfaces across environments.

8. Tooling Ecosystem Convergence
Tools for CI/CD, portals, policy engines, IaC, observability, and governance are converging
into more composable stacks suited for platform engineering.
Platform as a Product & Feedback Loops
Platform teams treat internal platforms like external products — defining roadmaps,
incorporating feedback, measuring adoption, and iterating.
These trends show that platform engineering is no longer a technical side project — it’s
central to the future of software delivery and developer productivity.
Best Practices for Platform Engineering Success
To ensure your platform engineering effort is effective, consider these guiding principles:
1. Adopt platform as product mindset — define ownership, roadmap, metrics, and
UX.
2. Offer self-service interfaces & abstraction — developers should not need to file
tickets for routine operations.
3. Standardize patterns & reusable templates — reduce variance across teams.
4. Automate via IaC, pipelines, infrastructure provisioning — eliminate manual toil.
5. Embed observability & monitoring by default — logs, metrics, dashboards,
anomaly detection.
6. Integrate security, compliance & governance — enforce guardrails without slowing
developers.
7. Ensure scalability, reliability & resilience — platform must manage failures,
upgrades, and region distribution.
8. Provide extension & customization paths — allow teams to augment the core.
9. Measure success via adoption, MTTR, error rates, support burden — use data to
evolve.
10. Foster culture & communication — evangelize benefits, onboard teams, maintain
documentation and feedback loops.
By following these principles, organizations can avoid anti-patterns (ticket bottlenecks, rigid
constraints, frustrated engineers) and build sustainable platforms.
Mphasis’ Platform Engineering Capabilities & Differentiators
When considering a partner for platform engineering, it’s essential to not just talk theory, but
to bring proven execution. Mphasis delivers across multiple axes:
NeoCrux™: Generative AI-Powered Engineering Platform
NeoCrux™ is Mphasis’ modern engineering platform that leverages AI for automation,
discoverability, governance, and observability. It acts as a central layer that helps enterprises
build and operate internal platforms.

9. Through NeoCrux, developers and platform teams benefit from:
• Automated scaffolding, pipeline generation, and configuration
• Asset discoverability and service catalogs
• Governance and enforcement of platform best practices
• Intelligent observability support
This aligns directly with the AI-augmented trends in platform engineering.
Integration with Engineering & Product Services
Mphasis’ deep experience in product engineering, architecture, DevOps, and cloud services
enables a seamless bridge between platform design and application teams.
Domain & Vertical-Driven Platform Design
Mphasis brings domain knowledge across sectors like finance, telecom, hi-tech, logistics, and
healthcare. This allows them to embed domain-level patterns, compliance, and integrations
into the platform blueprint.
Observability, Automation & Security Built In
Rather than bolting these on later, Mphasis ensures observability, governance, security, and
compliance are integral parts of the platform stack. Their automation services and enterprise
automation capabilities reinforce this strength.
Hybrid, Multi-Cloud & Scalability
With strong cloud and infrastructure services, Mphasis helps design platforms that work
across cloud, hybrid, and edge environments. This flexibility is key for modern enterprises.
Innovation Mindset & Future Readiness
By combining NeoCrux with generative AI capabilities and continuous innovation, Mphasis
keeps platform engineering forward-looking — ready to adapt to evolving trends in AI,
agentic platforms, observability, and more.
Conclusion
Platform engineering is no longer a fringe practice or internal experiment — it’s becoming a
cornerstone of modern software delivery. Organizations embracing platform engineering
gain faster time to market, greater consistency, better reliability, reduced operational burden,
and empowered developers.
But building a sustainable, scalable internal platform requires more than tools — it requires
execution, domain knowledge, governance, AI-powered automation, and a partner capable of
delivering in complex real-world settings.
Why Choose Mphasis for Platform Engineering

10. Because Mphasis combines:
• NeoCrux™, an AI-powered engineering platform enabling automation, governance,
discoverability, and observability
• Deep experience in product engineering, cloud, architecture, DevOps, and integration
• Domain and vertical expertise across finance, telecom, hi-tech, logistics, healthcare
• Security, observability, governance baked into the platform foundation
• Hybrid, multi-cloud, and scalable platform architecture capabilities
• A culture of innovation and future-ready platform engineering, aligned with trends in
AI and autonomous systems
Partnering with Mphasis for platform engineering means you get not only a powerful
technical foundation, but a full platform product mindset, governance, and a roadmap to
evolve your engineering capabilities for years to come.