Key Trends

Enterprises adopt CNCF cloud-native development standardization

Newer application layer protocols replace HTTP REST for greater efficiency

Go and Kotlin emerge as primary choices for lightweight microservices with a low memory footprint

.NET 5 expands the developer experience and unifies runtime behavior on all platforms

Focus shifts from languages and frameworks to stacks

Polyglot frameworks take center stage

Browser-based IDE and cloud workspaces proliferate

Cloud Engineering using DevSecOps is the norm

100% API-driven infrastructure supports multiple cloud platforms

Hybrid cloud models employ hybrid API management

Shift from a single user to collaborative experience design models and platforms

Increased productivity and quality through system design-enabled platforms

Omnichannel, intelligent and integrated experiences for application development

AI-based co-development enable productivity

Power of the cloud to provide a force multiplier for low-code development

Process mining and optimization drive digital process automation

Increase focus on enterprise productivity and collaboration

Remote collaboration powered by “anytime anywhere” collaboration platforms

Citizen development in AI and data science powered by cloud-based LCNC platforms

Enterprise-level AI shifts from fragmented to integrated and managed activities

Legacy security controls are transformed with a secure access services edge framework

Extended detection and response provides cross-layer security across the enterprise

Strengthened access governance brings greater transparency

A zero-trust security model maintains identity as a core component

Integrated data protection and classification tools enhance security at all touchpoints

Data encryption with key management becomes a best practice in cloud protection

Greater focus is placed on supply chain security and vendor risk management

Cyber metrics lead security governance enabling enterprisewide stakeholder collaboration

Secure by design adoption embeds security early and ensures digital trust

ERP on cloud adoption leads to a greater focus on business-critical ERP application security

Orchestration, automation and response technology revolutionizes incident management

Cloud-specific protection programs provide advanced security monitoring

Complete network visibility is enabled with tools that track operational technology

Real-time security monitors detect vulnerabilities and violations in 5G

Cloud security as code

Context-aware and intelligent security technology emerges

Conversational customer service and experience

Micro feedbacks and nudges to continually enhance the user experience

Industry data exchanges and vertical/enterprise outcome based platforms

Cognitive, extreme automation and digital worker management with a focus on risk and compliance

Movement from simple runbook automation to a sentient digital workforce

Ticket triaging, solution prediction and auto resolution

Shift of innovation centers and rapid innovation delivery

BizDevSecOps to drive agility in business operations

AI Ops-driven site reliability engineering and edge resiliency

Integrated and ecosystem-level performance management is the way of the future

SRE-driven, multi-cloud management to achieve operational efficiency and improved service availability

Cloud-native technologies adoption to build platforms for accelerated innovation and speed to market

Business outcomes become the new measure of service management

Going beyond IT service management to enterprise service management

Cloud acceleration driving demand and adoption of cloud based DevOps

Scaling DevOps across the enterprise to drive agility

Continuous security with end-to-end integrated DevSecOps pipelines

Shift left with codification of security and privacy controls in DevSecOps

Emergence of DevSecOps in the SAP ecosystem

Development of end-to-end, inbuilt platform capabilities

End-to-end DataOps with integrated data estate pipelines

Combining artificial intelligence and machine learning products into DevSecOps

Emergence of enterprise-scale AI model management

Integrated development environment for data science projects

Open, standards-based, software-defined networks and network function virtualization

Open-source, closed-loop AI Ops

Teams create their own app ecosystem around ALM tools

NoOps brings extreme automation and abstraction to the IT infrastructure

Using advanced technologies for automated and autonomous testing

Maturing security integration in DevSecOps to real-time, automated remediation of vulnerabilities