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IOT Trends for 2018

 

We spoke with a number of IT leaders and industry experts about what to expect from IoT in the coming year and what could be the latest trends for IOT which will dominate 2018.

Following are the Internet of things trends to watch out for in 2018.

1.The IOT industry will bring a changed awareness around security and risk:

Security concerns will be high on the list. We have reached a point in the evolution of IoT when we need to re-think the types of security we are putting in place. Have we truly addressed the unique security challenges of IoT, or have we just patched existing security models into IoT with the hope that it is sufficient?

IOT presents a different kind of risk. Businesses need to understand that sensors and machine-to-machine communications are also stored in the cloud. In particular, facilities implementing devices connected to the IoT need to think about communication and the security protocols between devices: sensor-to-sensor communication, sensor-to-gateway communication, and updating and maintaining all on-premise equipment to better secure their data.

Tom Smith is a research analyst for DZone.com and he queried these IT professionals to get their insights on predictions for 2018. Here’s what IOT experts shared their thoughts on IoT trends for 2018.

IoT security will continue to dominate as a major concern, and I would expect the rise of several IoT-driven platforms to rise to the surface in an attempt to address and manage this. Says Lucas Vogel, Founder, Endpoint Systems

My hope is that there will be some adopted regulations around IoT security and compliance, otherwise, there will undoubtedly be more frequent and massive attacks. The fully-connected home will move closer to being a reality, and there will be unique solutions that address actual needs instead of just being “internet-connected”. Says Mike Kail, CTO, CYBRIC

2. Businesses will need to embrace the implementation of edge and cloud computing: 

Edge computing, also known as fog computing, will continue to rise. The ability to run software at the edge is turning out to be one of the most promising accelerators of IoT adoption, given the cost savings and the ability to quickly achieve largescale systems.

3. Connectivity Management: 

Another exciting new area involves the management of whole IoT systems or solutions. Device management and connectivity management has been around for several years already, but now that the pieces of IoT systems are coming together to form whole enterprise-scale solutions, management of these solutions has become higher up on the “tech wish list” for organizations.

4. IOT vs IIOT:

In addition, the separation between consumer IoT and Industrial IoT is becoming clearer all the time. One key distinction that is now apparent is that consumer IoT can often focus on greenfield installations but IIoT must enable brownfield installations. The investments in systems and equipment that were made by industrial firms over the last decades will continue to be in place and will need to be incorporated into IIoT solutions.

We’re seeing a trend towards a lot more IIoT use cases. As we move into 2018, we will see a much higher adoption of industrial IoT where sensors are making a big impact in the manufacturing, automotive, aerospace and engineering sectors. Other areas where we expect greater uptake of IoT systems include shipping, retail, agriculture, and healthcare. This expansion will trigger a need to hire many more IoT professionals and will likely see the rise of many new types of IoT specific roles within companies.

Many verticals still have business operations that involve manual observation of equipment status, inventory levels, and other key metrics. Where there is currently manual observation, there may be a great opportunity for a high-ROI project involving IoT. Some verticals that have a lot of manual observations are Oil & Gas, Energy Distribution, Supply Chain, and Telecommunications. The repeating theme is high-value infrastructure that is spread out geographically.

Thanks Kilton Hopkins, IoT Program Director forNortheastern University-Silicon Valley and the CEO of IOTRACKS, for providing your inputs to this article.

 

 

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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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