Discussions on cloud and DevOps trends cover AI, low code no code, serverless, shift left and security, sustainability. State of innovation in cloud and DevOps explored, including COVID impact, automation, and identity and access management. Rise of platform engineering and its role in standardizing tools discussed. Growing trend of Finops and its importance in managing spending highlighted. Relationship between AI ops and data storage. Impact of Web Assembly and eBPF in cloud technologies explored. Rapid adoption of open telemetry and its vendor-agnostic compatibility discussed. Industry's future includes reducing complexity, merging innovations, focusing on sustainability, and excitement for AI-infused services.
Organizations should adopt and re-architect workloads to take advantage of existing cloud advancements.
AI and large language models, such as GPT, have a significant impact on various areas, including AI Ops and code generation.
Low code and no code tools aim to provide self-healing and remediation capabilities to business teams, with a focus on user-friendly interfaces and solid governance.
Deep dives
Cloud and DevOps Trends
The podcast episode discusses current trends in the cloud and DevOps space. The speakers cover topics like AI and low code no code, the changing face of serverless, the impact of shift left and security, and sustainability within the cloud.
The Slowdown of Cloud Innovation
The speakers acknowledge that the pace of innovation in cloud technology has slowed down, but it is still important for organizations to adopt and re-architect workloads to take advantage of existing advancements. They also discuss the state of DevOps, highlighting its ongoing relevance while acknowledging the need for organizations to overcome certain challenges in advancing its adoption.
AI and Large Language Models
The speakers recognize the impact of AI and large language models, such as GPT, in various areas. They mention AI Ops and its use in instant management and ticketing systems. They also discuss the AI-driven code generation and the potential of these models in providing valuable suggestions and jump-starting various tasks, including writing instructor notes and supporting creative writing.
The Evolution of Low Code and No Code
The speakers explore the evolution and impact of low code and no code tools. They discuss the aim of providing business teams with AI-driven self-healing and remediation capabilities, as well as the importance of making these tools more user-friendly and facilitating code generation. They emphasize the need for solid governance and access management while empowering users to efficiently perform their tasks.
Platform Engineering and Team Topologies
The speakers highlight the importance of platform engineering and the adoption of Team Topologies. They discuss the role of platform teams in providing a standardized DevOps toolchain and enabling teams to deliver business value without worrying about complex underlying technologies. They emphasize the shift towards empowering users with self-service, standardized tools, and the relevance of security enablement in platform engineering.
This is a repost from July 2023.
In this episode of the podcast, members of the InfoQ editorial staff will be discussing the current trends in software architecture and design, as part of the process to create our annual trends report. These reports provide InfoQ readers with a high-level overview of the topics to pay attention to, and also help the editorial team focus on innovative technologies. In addition to the report and the trends graph available on InfoQ.com, this podcast is a chance to hear our conversation and some stories our expert practitioners have observed.
Read a transcript of this interview: https://bit.ly/48FuQEH
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