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Raising the Bar: Key Takeaways from Salesforce ‘Connected Customer’ Conference

Living up to the Customer is the nouveau and delicate challenge surrounding digital enterprises today. The holisitic shift in focus has parlayed the reaps of experimentation around ‘customer loyalty’ a decade ago, into a new hymn praising the ‘extraordinary experiences’ that businesses can now deliver to their customers. Moreover, 84% of customers say the experience a company provides is as important as its products and services – up from 80% in 2018.

Remarkably, business buyers are just as picky and choosy about their purchase decisions as the consumers they’re coddling — and with good reason too. 89% of business buyers vs 83% of consumers share similar views on the role of customer experience. Both groups also share similar expectations from companies engaging with them — they all need more product information, product choices, and product types to make the most informed buying decisions. 


Personalised Journeys

Salesforce’s recent report points the digital arrow towards intelligence in the connected customer journey. The expectations are as clear as they are loud — more personalisation. When customers’ needs are left unmet by their primary engager, even after several interactions, the relationship weakens. As a result, at least 52% of all customers (including millennials and Gen Z’ers) feel companies are generally impersonal. 

Modern customer engagement happens in real time, (71% of customers feel this way) — highlighting how hurriedly the consumer’s attention is split.

AI-powered Experiences

Truly the stakes have never been higher than they are now. To raise the bar, companies are turning to data to solve these challenges. An intelligent experience for any customer has to have AI built-in, be outcome-focused, complete, actionable, simple and trustable. 


Source: Salesforce State of the Connected Customer

All AI is based on data, specifically good data. But data can’t be sourced from within the company alone. Lots of external data sources are critical to training advanced machine learning models. Nowadays, most organisations are data rich, information poor and ineptly staffed.

Browsing and discovery are closely shaping the way businesses organize service and delivery. According to the report, more than half of customers expect to find whatever they need in three clicks or less. The future state of connectivity is already trying to reduce these clicks to zero, where the experience is hyper-connected and hyper-individualized, right before the customer even decides to buy.

Why Good Data?

Good data enriches unique insights into the customer’s behavior and interests. Customer buying decisions don’t always follow a well-defined rationale or logic. So, to train a model to understand human behavior and preferences — we teach the model a variety of identifiable patterns that the model will then learn and perfect on. Using this learned information, we can approximate for the next buyer! This way the model behaves like a sales rep who is able to identify who the best customers are, why they like your products or services, and even why they prefer yours over competitors.


Source: Salesforce State of the Connected Customer

From Multi to Omni

Millennials & Gen Z are the most omni-channel group among today’s consumers — utilizing around 11 channels on average. Noteworthily, the report reveals that business buyers are not that different; sixty-seven percent of them prefer to buy through multiple digital channels. Business buyers are more likely than consumers to value product

By placing the customer at the heart of the problem, organizations are under more pressure than ever to deliver real-time results, seamless hand-offs and ultra-contextualized experiences. An emphasis on developing strong policies surrounding the collection and use of data — demonstrates a level of commitment that doesn’t go unnoticed by customers. Infact, the ROI of sound data practices extends beyond trust. The key to winning customer experience begins with being transparent about their data. Companies focusing on the quick sale will have to take an ongoing investment in the customer relationship, well after the deal is done, to stand a chance at winning in the connected future.

We help startups and enterprises, build & scale AI-driven products and solutions for last mile environments. Reach out to us on hello@mantralabsglobal.com, to learn more.

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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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