GENERATIVE AI
Meta Launches Llama API for Enterprise AI Access
Meta has introduced a preview version of its Llama API, allowing enterprises to access Llama language models via the cloud without self-hosting. The move targets OpenAI and other major providers by offering openness, lower vendor lock-in, and fast inference speeds through partnerships with chipmakers Cerebras and Groq.
The API supports OpenAI SDK compatibility, custom fine-tuning, and data portability, aiming to combine enterprise-grade service with open-source flexibility. Currently in limited preview, broader access is expected in the coming months.
TOGETHER WITH CLOUDZERO
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APPLICATION SECURITY
Apiiro Launches AI-Powered Risk Analysis Map for Software
Apiiro has introduced Software Graph Visualization, an AI-powered, real-time map that helps security teams visualize software architecture, vulnerabilities, and changes across the entire system. The tool uses AI agents to dynamically map risk exposure, sensitive data flow, and attack surfaces—eliminating manual interviews and static assessments.
Designed for use cases like threat modeling, privacy reviews, and vulnerability management, the tool supports multiple languages and offers SaaS, hybrid, and on-prem deployment options. It allows teams to identify, prioritize, and remediate security risks faster with full architectural context.
NO CODE & LOW CODE
Zoho Adds AI Capabilities to Its Low-Code Dev Platform
Zoho has announced 10 new AI-powered features in its low-code platform Zoho Creator, aimed at accelerating app development for both developers and business users. Key among these is CoCreator, an AI assistant that helps build applications using voice, written prompts, and business documents.
The platform can now transform unstructured data into customized apps, supports contextual code generation using ZohoAI or OpenAI, and includes advanced data prep tools. These enhancements target productivity gains, reduced development cycles, and broader accessibility for non-technical users.
Zoho emphasizes privacy, stating its AI models are not trained on customer data, and positions its offering as both affordable and secure—appealing to organizations of all sizes.
📺 PODCAST
How to Make Engineers apply FinOps
Another expert sharing his insights on FinOps Weekly Podcast!
How does engineering play a role in the world of FinOps? We discuss with Jeremy Chaplin about team collaboration, cost-reduction incentives, and the importance of a common language.
SERVICE MESH
Linkerd Adds Windows Support Preview in Latest Release
Buoyant has released Linkerd 2.18, introducing an experimental preview of Windows platform support and enabling GitOps-based declarative addition of Kubernetes clusters. This marks a significant step in extending Linkerd’s lightweight, Kubernetes-native service mesh beyond Linux environments.
Additional updates include enhanced protocol detection metrics, new methods for reading port protocols, dynamic metadata propagation across federated services, and improved resource configuration for proxies. The release, dubbed "Battlescar," reflects Linkerd’s ongoing focus on simplified, scalable service mesh deployments amid growing adoption in multi-cluster Kubernetes environments.
KUBERNETES
The Evolution of Kubernetes Workload Patterns
As Kubernetes adoption grows, workload patterns are evolving from simple stateless applications to complex AI/ML and stateful data workloads, requiring new orchestration and resource strategies.
EDB's CloudNativePG, now part of the CNCF Sandbox, showcases how PostgreSQL and Kubernetes can handle mission-critical data workloads with automation, high availability, and minimal manual intervention. Emerging AI/ML patterns like gang scheduling and distributed model orchestration highlight the shift toward managing workloads with performance, resilience, and scalability in mind.
Experts like Red Hat’s Dr. Holly Cummins stress the importance of breaking down data monoliths and enhancing developer experience through platforms like Backstage, encouraging optimization, sustainability, and productivity in modern Kubernetes environments.
CERTIFICATION
KCNA: The Ideal Starting Point for Your Cloud-Native Career
The Kubernetes and Cloud Native Associate (KCNA) certification offers a vendor-neutral, beginner-friendly entry into cloud-native technologies, ideal for developers, IT pros, and career switchers. Backed by CNCF, KCNA equips learners with foundational knowledge of Kubernetes, containers, microservices, and GitOps—without prior experience required.
Learners gain both theoretical grounding and hands-on skills in key areas like Kubernetes architecture, security, networking, and observability tools such as Prometheus and Grafana. The certification fosters a cloud-native mindset focused on automation, scalability, and resilience, preparing candidates for roles in DevOps, cloud engineering, and beyond.
With high demand for Kubernetes expertise, KCNA is a career-launching step, often followed by the more advanced CKAD certification for real-world application development in Kubernetes environments.
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Professional Spotlight
Miguel Ángel Mingorance
Site Reliability Engineer @ Apple
High IT technician specialized in Linux operating system, cloud computing, cloud system architecture, hardware, software and networking.
That’s all for this week. See you next Sunday!
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