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Technology Trends in 2023

In the past couple of years, we have witnessed revolutionary breakthroughs in technology. In a post-pandemic world, anything is possible. Technology will continue to influence how we live and work in 2023. As more products and services include artificial intelligence (AI) and machine learning (ML), they become smarter and more capable of carrying out jobs that were previously solely performed by humans. 

Here are some trends that will shape 2023:

  1. Web3/Blockchain: The blockchain ledger is being utilized in various contexts, including the protection of patient data, accelerating transaction times, reducing digital fraud, and more. By 2030, according to a report by Statista, the market is projected to grow by a CAGR of 82.8% touching $1,235.71 billion. 
  • Asset Tokenization: It is anticipated that some sectors, like healthcare and finance, may choose private blockchains in the years to come due to the requirement for greater security and privacy. The BFSI, retail, travel & hospitality, healthcare, IT & telecom, and media & entertainment are the different market segments for tokenization. The BFSI industry is anticipated to hold the most significant market share for tokenization in 2023. The expansion of this market is attributed to the rise in payment security solutions adoption and data breaches in the BFSI industry.
  1. Web AR: Some benefits of using Augmented Reality in business are boosting sales, minimizing returns, increasing customer engagement, collecting data on customer preferences, and providing a contactless experience. Users can now virtually try clothes and jewelry before purchasing on websites like Candere and Hazoorilal with the help of Web AR. Beauty and wellness platforms like Nykaa and Purplle let one try on lipstick shades digitally before purchasing them. Leading eCommerce portal for eyewear Lenskart allows customers to try on different frames virtually to choose the right one. Web AR is also used in education, taking the learning process to another level. It can be used to understand complex study models. For eg: Medical students can study human anatomy and even train for surgery on it.

Luminaire, a German-based aggregator of in-home and office lighting solutions partnered with Mantra Labs to create an AR model through paper catalogs, hand sketches, technical/2D drawings, and an interactive product database for products with electrical, luminous, & mechanical specifications.

  1. Adaptive AI: Unlike conventional AI systems, adaptive AI can modify its own learning strategies to account for changes in the actual world that weren’t anticipated when the system was created. By 2026, Gartner predicts that businesses that have implemented AI engineering methods to create and oversee adaptive AI systems will outperform their rivals in terms of the quantity and speed of operationalizing AI models. 

Hitee, Mantra Labs’ industry-specific AI-driven conversational chatbot helps insurance enterprises with customer onboarding by creating workflow automation, ticket queuing, etc.

  1. Metaverse: According to Forbes, the metaverse will contribute $5 trillion to the world economy by 2030, and 2023 will be the year that determines the metaverse’s course for the following ten years. Further, it says that by 2023, we’ll have more immersive meeting spaces where people can collaborate, develop, and create things. 
  • Education and learning: Mesh is a mixed reality collaboration and communication platform by Microsoft for staff, faculty, and students to interact using 3D avatars. 
  • Banking and finance: Metaverse in banking is reaching new heights. From any place, the banking metaverse provides a 360-degree picture of actual banks. One can still use their laptop or mobile device to access Metaverse banking even if they don’t own a VR headset.
  • Healthcare: Patients and doctors can communicate in virtual 3D clinics under the umbrella of telemedicine and telehealth, a notion made popular by the Metaverse after the pandemic. Another example is the Metaverse-powered Digital Twin technology, which enables the creation of a patient’s digital representation for the purpose of testing therapies and medications.
  1. Predictive analytics in Logistics: Playing a significant role in logistics by enabling businesses to foresee demand, anticipated delivery dates, and optimize the supply chain, the predictive analysis will result in quicker deliveries, less waste, and cheaper prices.

Hwy Haul, a California-based freight brokerage startup, partnered with Mantra Labs to create a portal to track their freight from booking to end a carrier portal to manage their fleet and drivers, an OPS portal to manage operations and backend systems, and a driver mobile app to deliver conveniently.

Key takeaways:

Technology has always been evident in every ecosystem. However, with the advent of AI and data analytics, one can expect a rather structured, sustainable, and creative take on things. While existing technologies continue to serve and enhance the customer experience, one will witness new ideas and experiments to promote a convenient and conscious lifestyle.

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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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