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Technologies that will disrupt in the next 5 years

Technology is always evolving and shaping up the future of business strategies. Organizations continually try to adopt new technologies to overhaul their business infrastructure and keep up with the pace of changing market dynamics. Leveraging the benefits of AI for process automation has been implemented by several businesses. But, it is still not enough, and there is a lot more to AI that will form the crux of technology disruption in the coming years.

Here is a list of significant technology disruption that is all set to mark a new territory of innovation in the coming five years:

1. Artificial intelligence:

Artificial Intelligence - Mantra Labs   

  The growth of artificial intelligence in the technology sector has been remarkable, and there have been no signs of its slowing down. In the next five years, we can expect that they will play a significant role in transforming the workplace environment and replacing manual labor. The technology disruption with AI will result in a loss of human jobs at a massive rate as companies tend to prefer economic and efficient systems.  The best example of this is the chatbots (chat+robot) that are simulated using natural language processing and artificial intelligence that provide enhanced operational efficiency, 24*7 service and no demands of any working conditions.

2. Insurtech:

Insurtech companies

The automation in the Insurance sector is gaining momentum currently. For the past few years, the insurance sector was hardly on the map of technology innovation. But, as the technology is getting intertwined in the everyday lives of the people Insurance companies have started adopting technology innovation at a rapid rate. Some of these innovations include Insurance chatbots which are available at all the times to provide solutions to their customers, automated system to perform the internal processes and redundant tasks, AI-based insurance software that processes the claims and service requests quickly.

3.  RPA(Robotic process automation):

Robotic Process Automation (RPA) - Mantra Labs

  RPA is the next big thing that will lead to major technology disruption in the coming years. It has already made its way in most of the technology companies, and RPA for insurance is also gaining popularity. With the passage of time, it will just become more advanced and smart replacing a good chunk of human-operated operations. RPA has branched out from three key technologies, i.e., screen scraping, workflow automation and artificial intelligence making it capable of automating business processes and improving the overall work efficiency.

4. Blockchain:

Blockchain Technology

  Cryptocurrency based blockchain is the next disrupting technology that has already changed the conventional model of trading and business transaction. Blockchain forms the backbone of cryptocurrencies and Bitcoins.  The prominence of Blockchain in the next five years is set to increase by leaps and bounds and will mainstream the payment methods by 2020. Blockchain works on the concept of decentralization where duplicate copies of each ledger are stored on various locations, so there is no focal point of vulnerability that can be exploited by the hackers. It makes blockchain a secure platform altogether. The overall cost of implementing blockchain is quite less because there are no additional costs related to the third parties and is also free from human intervention.

4 Things That Made Blockchain The Most Disruptive Tech In Decades

6. Augmented Reality (AR) & Virtual Reality (VR):

AR, VR

As of now, augmented and virtual reality’s existence is limited to the entertainment and gaming industry.  But, the future prediction depicts that in the coming years AR will play a significant role in other sectors as well. It will not be surprising to see advancements in AR/VR technology in the healthcare, e-commerce and travel industry. 

The above mentioned list was our round-up of the major technology disruption that will happen in the next five years. Though the list can go on and on and you can always find something new to add to the list.

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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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