Charlotte is a Senior Analyst for Application Platforms at Current Analysis. She covers the technologies that provide the infrastructure necessary to build and run enterprise applications and services. She analyzes the software, services and professional services necessary to integrate disparate systems, create cross-business and cross-technology communications, deliver rich, collaborative applications, and build software that is transparent, optimized and reusable.
Open-source software (OSS) technologies are improving developer access to advanced services
Vendors are heeding the call for more streamlined access to telemetry data management
An increase in telemetry data management requirements associated with containerized applications and microservices across highly distributed systems has prompted the need for greater visibility among more DevOps team members.
• GenAI providers leverage strengths across the cloud stack to differentiate
• Progress in AI agents’ efforts are made via acquisitions, partnerships, and innovations
Technology providers across the GenAI ecosystem continue to build out AI agent and AI assistant strategies and portfolios to help demonstrate the power of GenAI technology through practical use cases, which highlight vendors’ unique technologies. In the year ahead, vendors will lean heavily on their strengths across the cloud stack in order to differentiate from rivals and appeal to customers.
• Telcos lean on emerging industry standards to further API programs.
• Key to infra/app modernization success will be a collaboration between cloud and telco/networking players.
This week’s MWC25 mega conference showcased the growing trend toward cloud consolidation in which telecommunications players are moving up the stack to offer enterprise developers and DevOps teams greater access to network and communications services.
• Global systems integrators and cloud giants step up efforts to meet integration demands of enterprise transformation projects.
• AWS, Google, Microsoft, and Oracle more than doubled job requisites of DevOps roles between 2023 and 2024.
Over the past 12 months, cloud platform leaders have logged a staggering amount of job posts, largely among roles supporting business transformation, according to GlobalData’s job analytics data intelligence platform. Global systems integrator giant Accenture listed a whopping 103,517 jobs, while research surrounding other platform rivals was equally surprising. AWS posted 85,843 jobs; Oracle 49,533; IBM 31,733; Microsoft 6,278; and DXC 4,930. It is worth noting Accenture also closed over 105,000 job openings during the last 12-month period, while Amazon Web Services (AWS) closed over 87,000 openings, and Oracle over 49,000 jobs, having found candidates to fill these vacancies.
GlobalData’s 2025 Predictions for DevOps team members include the formalization of the development process via evolving DevXOps models, and a broadening of the platform/service providers ecosystem to better address app modernization struggles.
• Developers will face limitations on generative AI (genAI) usage.
• Agentic AI represents the largest upskilling opportunity.
GlobalData is closely following cloud trends under its new 2025 market driver category, Cloud Reconsidered. GlobalData anticipates in the new year that enterprise DevOps modeled teams will implement an entirely new approach in leveraging cloud services. The cloud is more pervasive than ever for scalability and efficiency. It’s become evident that a cloud-based IT portfolio brings the greatest promise for providing the highly critical centralized interface for development and automation platform services, which companies are seeking. This centralized management interface is more vital than ever for new challenges, which will spring up in the coming year. This is especially true for the provisioning of genAI tools, security, and management tools as well as reinforcing collaboration between development teams.
• Salesforce goes after Microsoft Copilot via Agentforce’s autonomous decision-making abilities.
• Enterprises are demanding abstraction of data and AI in their quest to simplify generative AI (GenAI) strategies/solutions.
The dust has settled from last month’s Salesforce Dreamforce mega-conference in San Francisco. From an enterprise developer perspective, the most provocative takeaway is the newly available autonomous agents (called Salesforce Agentforce, of course) for providing more accessible and advanced GenAI capabilities to the app development process.
• Technology providers look to FinOps to answer mounting cloud cost concerns.
• GlobalData releases new state of the market report including Google, AWS, Microsoft, IBM, Oracle, Red Hat.
After only just coming into focus a couple years ago, FinOps is now becoming standard practice among global enterprises. DevOps teams are under increased pressure to verify that modern applications are being deployed in the most efficient and cost-effective manner through advanced monitoring and cost optimization tools. Ensuring this level of insight and best practices into how resources are being allocated, consumed, and managed has not been easily achieved, however, making it difficult to effectively economize new digitization investments.
• Intelligent automation players are entering the GenAI space via partnerships and technology updates.
• The automation trend signals DevOps’ most significant use case yet for addressing app modernization.
Intelligent automation heavy weights are entering the generative AI (GenAI) space, locking in key cloud partnerships and updating solutions to provision operational workflow automations more easily. The wave of activities among these leaders signals perhaps the most significant use case yet: helping address enterprise app modernization efforts via AIOps and automation.
• Eight prominent LLM/GenAI competitors are featured in GlobalData’s new LLM Competitive Landscape Assessment. Google Gemini has been named Leader.
• In addition to core model capabilities, other factors are considered, including enterprise tools and partner ecosystems built around the GenAI model.
GlobalData has just released its first LLM Competitive Landscape Assessment, highlighting the strengths and challenges of eight heavy-hitters in this space.
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