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Meet Sed: Sedai's New AI Assistant Brings Conversation (and Action) to Cloud Optimization
Introducing Sed and Sedai's MCP integration: ask questions, take action, and extend it into your own agents.
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Choosing the Right Instance Types for Rightsizing in GCP
Discover how to select GCP VM machine types for rightsizing. Match vCPU/memory to workload, use machine-type recommendations and reduce cloud spend.
Virtual Machines in the Autonomous Era: New Optimization Strategies for SREs and DevOps
Virtual machines (VMs) remain crucial in cloud computing, offering flexibility, security, and cost efficiency alongside emerging technologies like Kubernetes. This blog explores the benefits of VMs and how autonomous optimization can streamline management for large VM fleets.
Panel - Optimizing Architecture for AI & Autonomous
Interview with Rachit Lohani
Explore Rachit Lohani's perspective on Paylocity’s journey towards cloud autonomy. Uncover the strategies and tools, like Sedai, that are transforming cloud management from manual oversight to full automation.
Panel: Transforming Operations with AI & Autonomous Systems
Serverless Development Environments: Velocity Global's Path to Scalability
Discover how Velocity Global's serverless-first architecture optimizes scalability, simplifies infrastructure management, and boosts developer productivity by focusing on business logic instead of managing underlying infrastructure.
Optimizing Development Environments: Comparing Kubernetes vs. Serverless Approaches at BILL & Velocity Global
Compare Kubernetes and serverless approaches used by BILL and Velocity Global to optimize scalable, efficient development environments in cloud computing.
Kubernetes Development Environments: How BILL Streamlines it with Team Spaces
Explore how BILL streamlines Kubernetes development environments with Team Spaces, enhancing developer productivity, code quality, and system reliability in large-scale operations.
Is There a Business Case for AI & Autonomous Cloud Systems?
What's the business case for autonomous cloud systems? At autocon we held a panel to generate in-depth insights on the business case of AI, tackling some big questions about autonomy and AI: How are big organizations using autonomy? To what extent is autonomy helpful? How willing are companies to adopt autonomy? How does the staff react to automation?How to go about the cost of using automation?