Skip to main content

Platform engineering : A Catalyst for Growth











Platform engineering is a discipline that focuses on building and maintaining internal developer platforms (IDPs). IDPs are a set of tools and services that provide developers with a self-service environment for building, deploying, and monitoring applications.

Platform engineers work closely with developers to understand their needs and build an IDP that meets those needs. They are responsible for designing, building, and maintaining the IDP architecture, as well as developing and maintaining the tools and services that are offered on the platform.

It is a relatively new discipline, but it has quickly become essential for software engineering organizations of all sizes. As organizations adopt cloud-native architectures and DevOps practices, they need a way to provide developers with the tools and services they need to be productive. 

Some of the key benefits of platform engineering include:

Increased developer productivity: It can help developers be more productive by providing them with self-service tools and services. This frees up developers to focus on building and shipping features, rather than spending time on infrastructure management.

Improved application quality: This can help improve the quality of applications by providing developers with tools and services that help them to write better code, test their code more thoroughly, and deploy their code more reliably.

Reduced costs: Platform engineering can help organizations reduce costs by automating tasks, streamlining processes, and eliminating duplication of effort.

Increased innovation: It also can assist organizations to innovate more quickly by providing developers with the tools and services they need to experiment and build new things. 

Here are some examples of the types of tools and services that platform engineers might work on:

Container orchestration platforms: Platforms like Kubernetes and Docker Swarm make it easy to deploy and manage containerized applications.

CI/CD pipelines: CI/CD pipelines automate the software development and delivery process, making it easier to deploy new code frequently.

Monitoring and observability tools: Tools like Prometheus and Grafana help developers to monitor the performance and health of their applications.

API management platforms: API management platforms provide a way to manage and expose APIs to developers and consumers.

Identity and access management (IAM) systems: IAM systems help to manage user accounts and permissions, ensuring that only authorized users have access to the IDP and its resources.

Platform engineers play a critical role in helping software engineering organizations to deliver high-quality applications quickly and reliably. As the demand for software continues to grow, platform engineering is becoming an increasingly important discipline.

Discover how platform engineering expertise can fuel your growth with Dataception. Contact us at crm@dataception.in.


Comments

Popular posts from this blog

Empowering the Future of Data: Introducing Data Fabric - The Seamless and Unified Data Management Solution

  Data fabric is an architectural approach and framework designed to address the challenges of managing and utilizing data in modern, complex IT environments. It is a powerful architecture that standardizes data management practices and practicalities across cloud, on premises, and edge devices. Among the many advantages that a data fabric affords, data visibility and insights, data access and control, data protection, and security quickly rise to the top.     It provides a unified and cohesive data management layer that connects disparate data sources, storage systems, and processing technologies, making data easily accessible, scalable, and agile across the organization. From this unified platform, you can monitor storage costs, performance, and efficiency—the “who is using what and how”—regardless of where your data and applications live. A data fabric improves end-to-end performance, controls costs, and simplifies infrastructure configuration and management.   Let's

How to be the Champion of Failures: Embracing Disruptive Technologies for Business Success

  Being a champion of failures you are Overcoming Weaknesses, Boosting Profitability, and Seizing Opportunities in the Digital Age. In the relentless pursuit of success, organizations often find themselves at a crossroads where the familiar path seems increasingly inadequate. The rapidly evolving business landscape demands more than just survival—it requires innovation, adaptability, and the willingness to challenge the status quo. This is where the champion of failures emerges, unafraid to take calculated risks and harness the power of cutting-edge technologies to revolutionize their operations. In this article, we explore three game-changing technologies— Business Analytics, Data Fabric, and Robotic Process Automation —that are reshaping industries, transcending barriers, and propelling businesses toward a future of unparalleled growth.       Embracing the Winds of Change : The Imperative of Technological Adoption The digital age has ushered in a new era of business—one charac

Why the Consumable Form of Data Needs Your Attention

How organizations manage their data directly impacts their success or failure. The correlation between data analytics and intelligence to competitive advantage and growth has led to heavy investments in those technologies throughout the last decade. So, if you consider that content is the consumable form of data, then it follows that the era of big data has now given way to the era of big content. Employees, customers, partners, investors, and regulators – all internal and external stakeholders – are clamoring for content to stay employed, educated, entertained, and connected. And all these content consumers are more empowered than ever before, meaning organizations must harness not just the power of their data but also that of their content assets to meet information demands. This data-content continuum exists because of the inherent challenges and opportunities both data and content management share and because content is the form of data closest to your customers and other key audie