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INSURTECH – Inspiring People and Offering Opportunities

While InsurTech offers benefits via process efficiencies, cost reductions, or radical changes to the customer, it was under the late adoption category when compared to other financial industry sectors, as per a report from Deloitte.

Figuring the current state of InsurTech, it is found by Accenture that InsurTech deals in the USA are still the highest with $1.24bn worth of deals. However, the number of insurtech deals in Europe grew 118%, while the value of deals in 2017 was $679m, 385% more than in 2016. Another report highlights that the UK is Europe’s largest insurtech hub, with 41 deals in 2017.

On the other hand, Insurtech in India is picking up the pace via its integration with modern technologies like Artificial Intelligence[AI], Machine Learning [ML]and the Internet of Things [ IoT].

So what were the factors that inspired Insurance companies to handshake with the advanced technologies? Or what were the dimensions in insurtech that encouraged people? Let’s have a look –
OPPORTUNITIES’ THAT INSPIRES INSURTECH

INNOVATION TO HELP MULTI-LAYERED STRUCTURE

Insurance is a multi-layer process, be it vehicle insurance that involves the owner, insurance firm and the vehicle seller or health insurance that requires patient, hospital and the insurance firm. The story could get a bit more complicated when coverage is provided via an employer, adding another layer of interaction.
Could disintermediation of the layers make it easy for customers to avail insurance? Well, yes a robust platform strategy is all you need. Just, for example, you may be approaching a corporate client to sell your health insurance policy; if some of the employees are using a type of health tracker device, it would be better to have a base of standard APIs and interface where all interface could connect and communicate.
Or picking another example, when your vehicle meets an accident, your smartphone could record and upload the photos on the integrated platform offered by the insurance firm and claim processing could be pushed.

MATCHING THE NEED FOR CUSTOMERS

The internet generation is keen to buy things in untraditional ways, while earlier government job was the norm, millennials are eager to own their business. To serve such a customer base, insurtech has been on their toes and offering customized insurance policies that may last for a trip or even for hours commonly known as Microinsurance. The ability to turn on and off your insurance policy is another creative way that has inspired people to buy insurance.

REVOLUTION TO CUSTOMIZE PRICING

Gone are the days when a full traditional policy was the norm and customers had no other option but to buy it. The customer is now attracted to innovative pricing models offered by insurtech firms. While the customer is planning his vacation via air, insurtech based on the data gathered could provide a customized 2-day or 5-day insurance cover. Or how about accessing the assets at home and providing insurance against burglary for your vacation time? Well, these revolutionary pricing model are helping insurtech to catch customer behaviour and allowing them to make fast claim processing via different tools.

IMPROVEMENTS WITH TECHNOLOGY

Integration with technologies like Blockchain, AI, and IoTs is helping people to avail enhanced services and operational development. While combination with Blockchain will help in building a higher level of trust, it also has the potential to offer new products. Pairing with IoTs would assist in gathering data and avoiding fraud claims. On the other hand, AI could help in automation of the age-old processes and documentation thereby streamlining the procedures.

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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