August 13, 2025

Uptime Matters: 10 Best Platform Engineering Partners for Reliability

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By Shyam Kapdi
Improwised Technologies Pvt. Ltd.

Introduction

In the landscape of platform engineering, we were also actively engaged with emerging trends, while experiencing extraordinary growth in multi-cloud and hybrid infrastructure adoption, driven largely by the business need for more resiliency and flexibility. Platform engineering has been described as the engineering of internal platforms for development teams, or more simply, internal platforms that take on the costs of infrastructure and operations engineering so that developers can just ship product features. The differentiator is that internal systems are packaged and bundled as products for developers to use, and that product teams design, operate, and evolve these internal systems so that those products are always successful.

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Technical Depth :

  • Design platform components to support vendor-agnostic orchestration (Kubernetes, Crossplane)
  • Leverage shared monitoring, logging, and policy engines, to enforce security and compliance in environments.
  • Use IaC patterns that abstract multiple cloud back ends and just map provider specifics.

Why is it necessary:

Multi-cloud provides risk mitigation for vendor lock-in, cost, and mitigated risk, but a solid technical foundation must be built to orchestrate the multi-cloud experience.

Advanced tip:

Service mesh architecture enables the consolidation of networking and security policies across different cloud domains.

Example Workflow:

  • IaC defines environment specs for each cloud.
  • CI/CD pipeline deploys the Cloud native artifacts as multiple cloud-region Kubernetes clusters.
  • The platform automatically scales workloads and synchronises configuration updates (i.e., playbook updates for any dependent changes) through Gitops to maintain the current state at all times.

Key Considerations:

Internal Developer Platforms: build self-service developer tools and frameworks that developers can use to manage the lifecycle of their applications.

Automation: automate the processes (provisioning, deployment, monitoring) so you and your team can spend time developing software and automating!

Consistency and standardization: build standard practice patterns for how we define the secure build, deploy, and management of software, and the best practices.

Developer Experience: build tools that improve the developer experience, but also be aware of the developer workflows that may support increased productivity with a lower cognitive load.

Collaboration and Enablement: Act as a bridge between development, operations, and security to create fundamental integration and collaboration.

Scalable: Create a solution that scales with the organization and adapts to changing technology stacks.

Security and Compliance: Embed security and compliance by default through platform-level controls and policies.

1. Improwised Technologies

Founded: 2011

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Platform Engineering, at the very heart of how Improwised Technologies enables enterprises to deliver software better, faster, more securely, and more resiliently, is a set of practices that look to develop a strong internal platform for developers, so that they can leverage self-service infrastructure, automation, and governance without being weighed down by operational overhead. This practice serves as a bridge between development, operations, and security, allowing teams to innovate without friction.

Improwised Technologies does not view Platform Engineering as simply being about infrastructure management; rather, looking at it from an ecosystem perspective where the end goal is an internal developer platform (IDP) that abstracts away the redundant infrastructure, and proposes a seamless developer experience. By embedding automation, security, and observability into the platform, organizations can achieve a true reduction in lead time, operational risk, whilst also achieving full scaleability.

Key Components:

  • Platform Engineering + Developer Platforms (IDPs) are important for regulated industries like healthcare and adtech
  • Automates deployment pipelines so you can release 2 - 3x faster
  • 99.99% uptime for mission-critical systems
  • Deep expertise in hybrid/multi-cloud, Kubernetes at scale, CI/CD automation
  • Optimized cloud cost (up to 30% savings) and reduced DevOps tasks by 80%

Why It Matters:

Typically, in traditional DevOps, developers have too much burden with infrastructure that slows delivery cycles and creates human error. Platform Engineering eliminates these burdens by providing pre-built, reusable services with guardrails, allowing developers to write code, not run infrastructure. For our clients that are cloud-native, microservices, and Kubernetes, this is the key to speed, reliability, and optimized costs.

Why Platform Engineering Uses?

  • Expertise in IaC, CI/CD, Cloud-native
  • Strong DevSecOps integration
  • Proven ability to deliver enterprise transformations

2. Unosquare

Founded: 2009

One of its emerging capabilities is Platform Engineering with the intent of helping enterprise organizations standardize, automate, and secure their application delivery pipeline. By combining DevOps principles, Infrastructure-as-Code (IaC), and cloud-native technologies, Unosquare builds platforms that increase development efficiency, reduce operational complexity, and accelerate innovation.

Why It Matters:

Unosquare helps mitigate application delivery challenges by building secure, automated, and developer-friendly platforms that allow faster delivery velocity while enforcing governance and mitigating operational risk. This makes Unosquare a great partner for enterprise organizations looking to digitally transform using platform-based approaches.

Key Platform Engineering Uses:

  • Faster Software Delivery
  • Increased Developer Productivity
  • Simplified Multi-Cloud & Hybrid Management

3. Computacenter

Founded: 1981

Computacenter is a global IT services and infrastructure solutions provider and incorporates Platform Engineering as part of its overall strategy for supporting cloud adoption, digital transformation, and operational efficiencies. Their Platform Engineering offering focuses on building automated, scalable, and secure platforms to deliver modern applications. It incorporates DevSecOps, Infrastructure as Code (IaC), cloud-native technologies, and other solutions, ensuring enterprises achieve a competitive advantage by accelerating innovation with compliance and governance.

What does it matter:

Computacenter’s Platform Engineering takes an automation-first approach to engineering and a security-first approach to governance to help enterprises re-envision their platforms and accelerate the transformation process towards scalability, compliance, and security as required by your business. With deep experience in cloud-native solutions and enterprise-grade governance, Computacenter manages or engages governance within your digital environment, allowing your organization to remain relevant in the cloud.

Key Platform Engineering Uses:

  • Consistency across Environments
  • Compliance and Security Automation
  • High Availability and Reliability

4. Redgate Software

Founded: 1999

Redgate Software is most known for its database DevOps automation solutions. It has recently moved into Platform Engineering as a service to help enterprises standardize, secure, and accelerate application delivery. These solutions are delivered through focused engagement that enables platforms built around DevOps, Infrastructure as Code (IaC), and database automation with a focus on reducing complexity in both the software development and deployment process.

Why it matters:

Redgate Software’s approach to Platform Engineering meets the needs of database-centric workflows and their unique challenges. Redgate incorporates platform engineering, with automation, governance, and observability, into internal platforms to help organizations transform into more effective delivery, increase data fidelity, and reduce operational complexity. Thus, it is no wonder that they have chosen to be a partner of choice for organizations looking to do data-driven Digital Transformations.

Key platform engineering uses:

  • Accelerated cloud migration
  • Security and compliance automation
  • Improved developer productivity

5. AVEVA

Founded: 1967

AVEVA provides platform engineering systems that empower organizations in sectors such as manufacturing, energy, and infrastructure to modernize and digitally transform. Their platform engineering capability is focused on adopting a cloud-native strategy while building platforms that are secured and automated, including data-driven applications and DevSecOps practices, allowing organizations to deploy their applications, enforce governance, and deliver mission-critical applications at scale.

Why it matters:

AVEVA’s platform engineering capability combines automation, governance, and cloud-native to create a platform. This provides organizations the opportunity to drive operational efficiencies and compliance, while ensuring their innovation capacity is increased, making AVEVA an industry leader in industrial digital transformation.

Key Platform Engineering Use cases:

  • Cost Optimisation and Utilisation of Resources
  • Infrastructure Scale Compliance and Security
  • Accelerating Passive Digital Transformation

6. Sage

Founded: 1984

Sage sees platform engineering as a crucial enabler to the delivery of secure, automated, and optimally performing platforms for enterprise and financial applications. They adopt an internal platform to drive developer productivity, automate infrastructure management, and ensure compliance with security in multi-cloud environments. They integrate DevSecOps practices and Infrastructure as Code (IaC) processes with Orchestration technologies such as Kubernetes to simplify operational complexities and deliver faster innovation.

Why it matters:

Sage’s platform engineering adopts cloud-native, governance, and automation combined to deliver agile, resilient, and scalable platforms. This allows Sage and its customers to minimize digital transformation time while reducing operational costs and adhering to the highest security standards to be a trusted partner for organizations in an ever-changing landscape.

Key platform engineering uses:

  • Enhancing Developer Productivity
  • Optimizing Costs & Implementation of Resources
  • Accelerating Software Delivery.

7. Accenture

Founded:1989

Accenture is a global technology and consulting leader. Accenture provides Platform Engineering as an important enabler for organizations taking on digital transformation, cloud modernization, and intelligent automation. They create scalable, secure, and automated platforms that improve developer productivity and speed application delivery. They leverage cloud-native technologies, Infrastructure as Code, and automation-first approaches to help organizations reduce complexity, enforce compliance, and remain agile across multi-cloud environments.

Why it matters :

Accenture’s Platform Engineering approach solves these issues by providing a structured, automated, secure platform layer that meets the organization, customers, provider, and market objectives. With a well-designed platform, organizations can innovate faster without any danger of falling out of compliance or having inefficient operations and poorly educated employees. In today’s hyper-competitive digital economy, a future-focused and well-integrated platform strategy is imperative to promote organizational success.

Key Platform Engineering Uses :

  • Faster Software Delivery
  • Cost Optimization and Resource Effectiveness
  • High Availability and Reliability

8. Matillion

Founded: 2011

Matillion’s Platform Engineering approach enables the development of scalable, automated, and secure platforms for a new world of data-centric, speed-of-change enterprises. Their perspective around Platform Engineering is to build internal developer platforms (IDPs) that incorporate DevSecOps processes, Infrastructure as Code, and cloud-native orchestration into high-performing analytics, ETL (Extract, Transform, and Load) pipelines, or AI/ML workloads.

Why it matters :

Matillion seamlessly combines Data Integration to leverage their expertise in automation-first, cloud-native strategies in the Platform Engineering approach and assists organizations to accelerate their analytics requirements, bring cloud infrastructure costs down, and enforce governance. They provide a significant capability towards real-time information and advanced analytics as a partner.

Key Platform Engineering Uses :

  • Increase Developer Productivity
  • Improved Reliability and Uptime
  • Security and Compliance Automation

9. Software Mind

Founded: 1999

Software Mind offers Platform Engineering as a core capability that helps enterprises manage the software delivery process, automate the provisioning of infrastructure for applications, and support innovation through digital transformation. Software Mind creates cloud-native, automated platforms that incorporate DevSecOps principles, Infrastructure as Code, and container orchestration, promoting developer productivity and efficient and effective operations.

Why it matters :

Software Mind enhances the Platform Engineering capabilities of the organization through a mix of automation, governance, and cloud-native solutions, helping them speed their time to market, ensure compliance, and drive down operating costs. As a partner for digital transformation initiatives that create robust, scalable platforms, Software Mind is an ideal fit for organizations.

Key Platform Engineering Uses :

  • Increase Developer Productivity
  • Multi-Cloud & Hybrid Operating Model
  • Modernize to Cloud-Native Platforms

10. BJSS

Founded: 1993

BJSS uses Platform Engineering as a strategic capability to help enterprises accelerate transformation, optimize cloud infrastructure, and modernize their ability to deliver software. Their position on Platform Engineering is centered on developing developer-centered internal developer platforms and incorporating the four pillars of automation, observability, security, and scalability that provide businesses operating with ever-changing needs, to bring products to market quickly, with reliability.

Why it matters :

BJSS fulfills this need by bringing together best practices from DevOps and cloud-native capabilities with enterprise governance to deliver the ability for organizations to deliver software quickly, keep their compliance postures intact, and ensure their operational resilience is intact with scale in crisis. BJSS is positioned to be a trusted partner to deliver digital transformation at scale for its clients.

Key Platform Engineering Uses :

  • Faster Software Delivery
  • AI/ML Workload Enablement
  • High Availability and Reliability

Executive Summary: Comparison Table

CompanyFoundedStrengthsSpecialties
Improwised Technologies2011Expertise in hybrid/multi-cloud environments• Internal Developer Platforms (IDPs)• CI/CD automation• Cloud cost optimization
Unosquare2009Proven record in DevOps and automation• IaC implementation• Multi-cloud enablement• Developer experience improvement
Computacenter1981Global enterprise-grade governance expertise• Standardization and automation• Hybrid cloud integration• High availability
Redgate Software1999Strong integration of observability and governance• Database change automation• Cloud-native workflows• Secure platform delivery
AVEVA1967Specialization in industrial and operational platforms• Industrial IoT platform integration• Multi-cloud orchestration• Security-first design
Sage1984Focus on financial and enterprise SaaS platforms• Cloud-native modernization• Automated CI/CD for SaaS apps• Cost optimization
Accenture1989End-to-end digital transformation leadership• Enterprise-scale automation• Multi-cloud orchestration• AI/ML platform enablement
Matillion2011Expertise in data engineering and ETL platforms• Data pipeline automation• Hybrid/multi-cloud data platforms• Compliance automation
Software Mind1999Strong in custom cloud-native solutions• Platform modernization• Developer productivity enhancement• Multi-cloud enablement
BJSS1993Proven record in enterprise-scale platform delivery• AI/ML workload enablement• High availability and resilience• CI/CD acceleration
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Written by

Shyam Kapdi

Shyam Kapdi is a Business Development Executive at Improwised Technologies, focused on driving growth through client engagement and platform engineering solutions. He helps align business needs with open-source, scalable technologies.

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