What IT Operations trends should leaders know to stay ahead?

1 Cloud-native applications

Cloud-native applications are designed to run on cloud platforms, leveraging their capabilities such as elasticity, automation, and resilience. Cloud-native applications are built using microservices, containers, and orchestration tools that enable faster development, deployment, and scaling. Cloud-native applications also offer advantages such as lower costs, higher availability, and better security. IT Operations leaders should adopt cloud-native applications as a strategic priority, as they can help them deliver more value to their customers, reduce operational complexity, and increase agility and innovation.

3 Artificial intelligence and machine learning

Artificial intelligence (AI) and machine learning (ML) are technologies that enable systems to learn from data and perform tasks that normally require human intelligence. AI and ML can help IT Operations leaders automate, optimize, and enhance various aspects of their operations, such as monitoring, troubleshooting, incident management, capacity planning, and anomaly detection. AI and ML can also help IT Operations leaders gain insights, predictions, and recommendations from their data, enabling them to make better decisions and drive innovation. IT Operations leaders should leverage AI and ML as a way to augment their capabilities, improve their outcomes, and create competitive advantages.

4 Edge computing

Edge computing is a paradigm that shifts the processing of data and applications from centralized servers to the edge of the network, closer to the source of data and the end user. Edge computing can help IT Operations leaders improve the performance, availability, and security of their services, especially for use cases that require low latency, high bandwidth, or real-time processing. Edge computing can also help IT Operations leaders reduce their dependence on cloud providers, lower their costs, and increase their control and flexibility. IT Operations leaders should explore edge computing as a way to enhance their service delivery, meet customer expectations, and support new business opportunities.

5 Site reliability engineering

Site reliability engineering (SRE) is a discipline that applies engineering principles and practices to the design, development, and operation of reliable and scalable systems. SRE focuses on defining and measuring service level objectives (SLOs) and service level indicators (SLIs), managing incidents and postmortems, implementing error budgets and policies, and automating toil and workflows. SRE can help IT Operations leaders improve their reliability, availability, and resilience, while balancing their operational and developmental needs. IT Operations leaders should adopt SRE as a way to align their goals, processes, and tools with their customers, developers, and business partners.