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6 DevOps trends for the future

DevOps has gained prominence in the past few years for its ability to develop, test, and deploy the software at a high velocity. The prime focus is to maximize the customer satisfaction, improve the product quality and its performance and speed up the development process. With all these powerful factors more and more enterprises are looking forward to adopting this technology, so it is essential to understand what will be the ruling trends in DevOps in the future.

1. Automation is the key

The automation strategies dominate DevOps and Zero-automation is the new Buzzword for the future. It doesn’t mean that you need to automate every component, but if it is the need of the hour, then you should have the capability to do it. The salient idea is to have a vivid picture of the 6C’s of DevOps development cycle and the implementation of automation between these stages.

  • Continuous business planning
  • Collaborative development
  • Continuous testing
  • Continuous release and development
  • Customer feedback and satisfaction
  • Continuous monitoring

2. Testers with coding knowledge

If you are a tester and have the experience of coding and running automated scripts for test cases then you will be in high demand in 2018. The era of manual testing will take a backseat  because it is a time-consuming process which delays the development process. Automated testing is fast, efficient and reliable so testers working with DevOps tools will need to learn to code and create their test scripts.

DevOps Lifecycle stages

3. Increased Demand for Microservice architecture

Microservices architecture allows companies to make changes quickly without influencing related systems and any other functionality. Companies are switching to this architecture to improve their delivery time and efficiency. Microservices architecture and DevOps practices, when merged, offer great agility and operational efficiency for the companies.

4. DevOps assembly line instead of CI pipelines

Pipelines help the companies to visualize the development process of their application from scratch until the production. As of now, companies are looking up for techniques to automate their complete software development cycle to speed up the delivery process. The future trends will focus more on Continuous delivery (CD) rather than Continuous integration (CI) and will shift towards adoption of DevOps assembly lines.

5. DevOps and security

Security parameters will become mainstream and will integrate with DevOps development cycle. The transformation of DevOps to DevsecOps will dominate the security market, and the developers will be accountable for the security of their applications. It will ensure that the applications are developed error-free and do not have any security loophole. The idea here is to make security the habit of the development team and instill the principles of a secure system in the development cycle itself.

6. Serverless technology

With the emergence of cloud technologies the dependence on servers is decreasing dramatically. In future, it is expected that there will be a spike in adoption of serverless technologies. DevOps is a supplement to serverless architecture that will help the organization to achieve excellent business agility.

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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