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What’s going to be big in chatbots for 2019

The chatbot market is predicted to reach a whopping 1.25 billion US dollars by 2025. These figures are not just mind-boggling, but they are proof that shows the relevance of chatbots today. Also, 45% of end users have already got comfortable with chatbots, and they prefer chatbots over other media for communication.

Chatbot in 2019

So, we can expect that by 2019 chatbots will reach another level of accuracy and efficiency. Here are the trends to watch out for chatbots in 2019:

1. Intelligent systems:

Chatbots are the future of impeccable customer service. But to make it at par with human customer support it needs to be super interactive and smart. Companies deploying chatbots are continually working on optimizing their bots so they could be an equal replacement for a human counterpart. It is predicted that in the next few years conversational AI-first” user experience, or CUX,  will become mainstream in most organizations. CUX is an advanced version of UI  which is designed to help and improve the user experience so that they can reach their end goals faster.

2. The rise of website chatbots:

By the next year, one can expect that several small, as well as medium-sized businesses who have not yet implemented chatbots, will look forward to adopting it. The emergence of third-party companies that help the organization to develop and build the industry-specific chatbots at affordable prices has made the adoption of bot technology easier. Chatbots are a great source to enhance the user experience and provides a 24*7 customer support as such all businesses need it.

3. Stricter guidelines:

The crux of chatbots is DATA and more data. The introduction of GDPR guidelines this year has made the usage of data restricted. Even with stricter guidelines, the importance of data will not plummet, and it will only increase.  The companies will need to find responsible methods of data processing so that they adhere to the new guidelines and develop GDPR-compliant solutions.

4. Chatbots beyond customer support:

The coming year will witness the use of chatbots for several more processes such as the B2B and B2E business workflows. Some existing examples include the chatbots for CRM, Intranet and IT help desks. As cited by a leading company Juniper Networks that chatbots can reduce the business costs by $8bn by 2022 and 2019 will witness some fantastic advancements in that direction.

5. Mobile app saturation:

The mobile app market is saturating, and in the coming years, it is said that 50% of companies will focus their resources and finances on chatbots rather than mobile apps.

Reasons why chatbots are more preferred than mobile apps:

    Chatbots are more efficient and intelligent and are a better way to reach customers.

    Smartphone users do not want to exhaust their limited memory space with unlimited applications.

    75% of Smartphone users use some messaging app.

    The UI elements of an application or a website is a collection of information. If all of this can be packaged together and provided in a messaging app, it will be much easier for the users. Wouldn’t it be great if you can manage everything from booking a movie ticket to buying groceries through a single interface?

    Also, chatbots do not need a download you need to message them through a messaging app and ask them to perform a function.

We cannot ignore the immense benefits that chatbots have to offer. The exploration around chatbots is unlimited, and we will see them unravelling one at a time. The experience that chatbots provide whether it is finding a travelling location or getting information is super smooth and comfortable. The personal touch that chatbots offer is another plus point that makes chatbots a perfect fit for businesses.

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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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