�ݺ�ߣshows by User: cmihai

�ݺ�ߣshows by User: cmihai / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: cmihai / Tue, 24 Jun 2025 13:24:54 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: cmihai ContextForge MCP Gateway - the missing proxy for AI Agents and Tools /slideshow/contextforge-mcp-gateway-the-missing-proxy-for-ai-agents-and-tools/280961197 mihaicriveti-introducingcontextforgemcpgateway-250624132454-df51aa05
ContextForge MCP Gateway is a feature-rich gateway, proxy and MCP Registry that federates MCP and REST services - unifying discovery, auth, rate-limiting, observability, virtual servers, multi-transport protocols, and an optional Admin UI into one clean endpoint for your AI clients. It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster environments on Kubernetes with Redis-backed federation and caching. It supports: Federation across multiple MCP and REST services Virtualization of legacy APIs as MCP-compliant tools and servers Transport over HTTP, JSON-RPC, WebSocket, SSE, stdio and streamable-HTTP An Admin UI for real-time management and configuration Built-in auth, observability, retries, and rate-limiting Scalable deployments via Docker or PyPI, Redis-backed caching, and multi-cluster federation]]>
ContextForge MCP Gateway is a feature-rich gateway, proxy and MCP Registry that federates MCP and REST services - unifying discovery, auth, rate-limiting, observability, virtual servers, multi-transport protocols, and an optional Admin UI into one clean endpoint for your AI clients. It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster environments on Kubernetes with Redis-backed federation and caching. It supports: Federation across multiple MCP and REST services Virtualization of legacy APIs as MCP-compliant tools and servers Transport over HTTP, JSON-RPC, WebSocket, SSE, stdio and streamable-HTTP An Admin UI for real-time management and configuration Built-in auth, observability, retries, and rate-limiting Scalable deployments via Docker or PyPI, Redis-backed caching, and multi-cluster federation]]> Tue, 24 Jun 2025 13:24:54 GMT /slideshow/contextforge-mcp-gateway-the-missing-proxy-for-ai-agents-and-tools/280961197 cmihai@slideshare.net(cmihai) ContextForge MCP Gateway - the missing proxy for AI Agents and Tools cmihai ContextForge MCP Gateway is a feature-rich gateway, proxy and MCP Registry that federates MCP and REST services - unifying discovery, auth, rate-limiting, observability, virtual servers, multi-transport protocols, and an optional Admin UI into one clean endpoint for your AI clients. It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster environments on Kubernetes with Redis-backed federation and caching. It supports: Federation across multiple MCP and REST services Virtualization of legacy APIs as MCP-compliant tools and servers Transport over HTTP, JSON-RPC, WebSocket, SSE, stdio and streamable-HTTP An Admin UI for real-time management and configuration Built-in auth, observability, retries, and rate-limiting Scalable deployments via Docker or PyPI, Redis-backed caching, and multi-cluster federation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihaicriveti-introducingcontextforgemcpgateway-250624132454-df51aa05-thumbnail.jpg?width=120&height=120&fit=bounds" /> ContextForge MCP Gateway is a feature-rich gateway, proxy and MCP Registry that federates MCP and REST services - unifying discovery, auth, rate-limiting, observability, virtual servers, multi-transport protocols, and an optional Admin UI into one clean endpoint for your AI clients. It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster environments on Kubernetes with Redis-backed federation and caching. It supports: Federation across multiple MCP and REST services Virtualization of legacy APIs as MCP-compliant tools and servers Transport over HTTP, JSON-RPC, WebSocket, SSE, stdio and streamable-HTTP An Admin UI for real-time management and configuration Built-in auth, observability, retries, and rate-limiting Scalable deployments via Docker or PyPI, Redis-backed caching, and multi-cluster federation

ContextForge MCP Gateway - the missing proxy for AI Agents and Tools from Mihai Criveti

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0 10 Limitations of Large Language Models and Mitigation Options /slideshow/10-limitations-of-large-language-models-and-mitigation-options/260767853 mihai-criveti-overcome-llm-limitations-230910124055-b0858d5c
10 Limitations of Large Language Models and ways to overcome them. Dealing with hallucinations, performance, costs, stale training data, injecting private data, token limits and contextual memory, text conversion, lack of transparency, ethical concerns and training costs.]]>
10 Limitations of Large Language Models and ways to overcome them. Dealing with hallucinations, performance, costs, stale training data, injecting private data, token limits and contextual memory, text conversion, lack of transparency, ethical concerns and training costs.]]> Sun, 10 Sep 2023 12:40:54 GMT /slideshow/10-limitations-of-large-language-models-and-mitigation-options/260767853 cmihai@slideshare.net(cmihai) 10 Limitations of Large Language Models and Mitigation Options cmihai 10 Limitations of Large Language Models and ways to overcome them. Dealing with hallucinations, performance, costs, stale training data, injecting private data, token limits and contextual memory, text conversion, lack of transparency, ethical concerns and training costs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihai-criveti-overcome-llm-limitations-230910124055-b0858d5c-thumbnail.jpg?width=120&height=120&fit=bounds" /> 10 Limitations of Large Language Models and ways to overcome them. Dealing with hallucinations, performance, costs, stale training data, injecting private data, token limits and contextual memory, text conversion, lack of transparency, ethical concerns and training costs.

10 Limitations of Large Language Models and Mitigation Options from Mihai Criveti

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0 Retrieval Augmented Generation in Practice: Scalable GenAI platforms with k8s, LangChain, HuggingFace and Vector /slideshow/retrieval-augmented-generation-in-practice-scalable-genai-platforms-with-k8s-langchain-huggingface-and-vector/260654221 shipitcon-mihai-criveti-retrieval-augmented-generation-230907095712-1fe18c84
Mihai is the Principal Architect for Platform Engineering and Technology Solutions at IBM, responsible for Cloud Native and AI Solutions. He is a Red Hat Certified Architect, CKA/CKS, a leader in the IBM Open Innovation community, and advocate for open source development. Mihai is driving the development of Retrieval Augmentation Generation platforms, and solutions for Generative AI at IBM that leverage WatsonX, Vector databases, LangChain, HuggingFace and open source AI models. Mihai will share lessons learned building Retrieval Augmented Generation, or “Chat with Documents” platforms and APIs that scale, and deploy on Kubernetes. His talk will cover use cases for Generative AI, limitations of Large Language Models, use of RAG, Vector Databases and Fine Tuning to overcome model limitations and build solutions that connect to your data and provide content grounding, limit hallucinations and form the basis of explainable AI. In terms of technology, he will cover LLAMA2, HuggingFace TGIS, SentenceTransformers embedding models using Python, LangChain, and Weaviate and ChromaDB vector databases. He’ll also share tips on writing code using LLM, including building an agent for Ansible and containers. Scaling factors for Large Language Model Architectures: • Vector Database: consider sharding and High Availability • Fine Tuning: collecting data to be used for fine tuning • Governance and Model Benchmarking: how are you testing your model performance over time, with different prompts, one-shot, and various parameters • Chain of Reasoning and Agents • Caching embeddings and responses • Personalization and Conversational Memory Database • Streaming Responses and optimizing performance. A fine tuned 13B model may perform better than a poor 70B one! • Calling 3rd party functions or APIs for reasoning or other type of data (ex: LLMs are terrible at reasoning and prediction, consider calling other models) • Fallback techniques: fallback to a different model, or default answers • API scaling techniques, rate limiting, etc. • Async, streaming and parallelization, multiprocessing, GPU acceleration (including embeddings), generating your API using OpenAPI, etc.]]>
Mihai is the Principal Architect for Platform Engineering and Technology Solutions at IBM, responsible for Cloud Native and AI Solutions. He is a Red Hat Certified Architect, CKA/CKS, a leader in the IBM Open Innovation community, and advocate for open source development. Mihai is driving the development of Retrieval Augmentation Generation platforms, and solutions for Generative AI at IBM that leverage WatsonX, Vector databases, LangChain, HuggingFace and open source AI models. Mihai will share lessons learned building Retrieval Augmented Generation, or “Chat with Documents” platforms and APIs that scale, and deploy on Kubernetes. His talk will cover use cases for Generative AI, limitations of Large Language Models, use of RAG, Vector Databases and Fine Tuning to overcome model limitations and build solutions that connect to your data and provide content grounding, limit hallucinations and form the basis of explainable AI. In terms of technology, he will cover LLAMA2, HuggingFace TGIS, SentenceTransformers embedding models using Python, LangChain, and Weaviate and ChromaDB vector databases. He’ll also share tips on writing code using LLM, including building an agent for Ansible and containers. Scaling factors for Large Language Model Architectures: • Vector Database: consider sharding and High Availability • Fine Tuning: collecting data to be used for fine tuning • Governance and Model Benchmarking: how are you testing your model performance over time, with different prompts, one-shot, and various parameters • Chain of Reasoning and Agents • Caching embeddings and responses • Personalization and Conversational Memory Database • Streaming Responses and optimizing performance. A fine tuned 13B model may perform better than a poor 70B one! • Calling 3rd party functions or APIs for reasoning or other type of data (ex: LLMs are terrible at reasoning and prediction, consider calling other models) • Fallback techniques: fallback to a different model, or default answers • API scaling techniques, rate limiting, etc. • Async, streaming and parallelization, multiprocessing, GPU acceleration (including embeddings), generating your API using OpenAPI, etc.]]> Thu, 07 Sep 2023 09:57:12 GMT /slideshow/retrieval-augmented-generation-in-practice-scalable-genai-platforms-with-k8s-langchain-huggingface-and-vector/260654221 cmihai@slideshare.net(cmihai) Retrieval Augmented Generation in Practice: Scalable GenAI platforms with k8s, LangChain, HuggingFace and Vector cmihai Mihai is the Principal Architect for Platform Engineering and Technology Solutions at IBM, responsible for Cloud Native and AI Solutions. He is a Red Hat Certified Architect, CKA/CKS, a leader in the IBM Open Innovation community, and advocate for open source development. Mihai is driving the development of Retrieval Augmentation Generation platforms, and solutions for Generative AI at IBM that leverage WatsonX, Vector databases, LangChain, HuggingFace and open source AI models. Mihai will share lessons learned building Retrieval Augmented Generation, or “Chat with Documents” platforms and APIs that scale, and deploy on Kubernetes. His talk will cover use cases for Generative AI, limitations of Large Language Models, use of RAG, Vector Databases and Fine Tuning to overcome model limitations and build solutions that connect to your data and provide content grounding, limit hallucinations and form the basis of explainable AI. In terms of technology, he will cover LLAMA2, HuggingFace TGIS, SentenceTransformers embedding models using Python, LangChain, and Weaviate and ChromaDB vector databases. He’ll also share tips on writing code using LLM, including building an agent for Ansible and containers. Scaling factors for Large Language Model Architectures: • Vector Database: consider sharding and High Availability • Fine Tuning: collecting data to be used for fine tuning • Governance and Model Benchmarking: how are you testing your model performance over time, with different prompts, one-shot, and various parameters • Chain of Reasoning and Agents • Caching embeddings and responses • Personalization and Conversational Memory Database • Streaming Responses and optimizing performance. A fine tuned 13B model may perform better than a poor 70B one! • Calling 3rd party functions or APIs for reasoning or other type of data (ex: LLMs are terrible at reasoning and prediction, consider calling other models) • Fallback techniques: fallback to a different model, or default answers • API scaling techniques, rate limiting, etc. • Async, streaming and parallelization, multiprocessing, GPU acceleration (including embeddings), generating your API using OpenAPI, etc. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/shipitcon-mihai-criveti-retrieval-augmented-generation-230907095712-1fe18c84-thumbnail.jpg?width=120&height=120&fit=bounds" /> Mihai is the Principal Architect for Platform Engineering and Technology Solutions at IBM, responsible for Cloud Native and AI Solutions. He is a Red Hat Certified Architect, CKA/CKS, a leader in the IBM Open Innovation community, and advocate for open source development. Mihai is driving the development of Retrieval Augmentation Generation platforms, and solutions for Generative AI at IBM that leverage WatsonX, Vector databases, LangChain, HuggingFace and open source AI models. Mihai will share lessons learned building Retrieval Augmented Generation, or “Chat with Documents” platforms and APIs that scale, and deploy on Kubernetes. His talk will cover use cases for Generative AI, limitations of Large Language Models, use of RAG, Vector Databases and Fine Tuning to overcome model limitations and build solutions that connect to your data and provide content grounding, limit hallucinations and form the basis of explainable AI. In terms of technology, he will cover LLAMA2, HuggingFace TGIS, SentenceTransformers embedding models using Python, LangChain, and Weaviate and ChromaDB vector databases. He’ll also share tips on writing code using LLM, including building an agent for Ansible and containers. Scaling factors for Large Language Model Architectures: • Vector Database: consider sharding and High Availability • Fine Tuning: collecting data to be used for fine tuning • Governance and Model Benchmarking: how are you testing your model performance over time, with different prompts, one-shot, and various parameters • Chain of Reasoning and Agents • Caching embeddings and responses • Personalization and Conversational Memory Database • Streaming Responses and optimizing performance. A fine tuned 13B model may perform better than a poor 70B one! • Calling 3rd party functions or APIs for reasoning or other type of data (ex: LLMs are terrible at reasoning and prediction, consider calling other models) • Fallback techniques: fallback to a different model, or default answers • API scaling techniques, rate limiting, etc. • Async, streaming and parallelization, multiprocessing, GPU acceleration (including embeddings), generating your API using OpenAPI, etc.

Retrieval Augmented Generation in Practice: Scalable GenAI platforms with k8s, LangChain, HuggingFace and Vector from Mihai Criveti

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0 Ansible Workshop for Pythonistas /slideshow/ansible-workshop-for-pythonistas/250511964 2020-01-mihaicriveti-ansibleworkshopforpythonistas-211023132530
Get started with Ansible - an introduction for Python developers Ansible: Provisioning and Configuration Management Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud Vagrant: Test images with vagrant]]>
Get started with Ansible - an introduction for Python developers Ansible: Provisioning and Configuration Management Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud Vagrant: Test images with vagrant]]> Sat, 23 Oct 2021 13:25:29 GMT /slideshow/ansible-workshop-for-pythonistas/250511964 cmihai@slideshare.net(cmihai) Ansible Workshop for Pythonistas cmihai Get started with Ansible - an introduction for Python developers Ansible: Provisioning and Configuration Management Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud Vagrant: Test images with vagrant <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2020-01-mihaicriveti-ansibleworkshopforpythonistas-211023132530-thumbnail.jpg?width=120&height=120&fit=bounds" /> Get started with Ansible - an introduction for Python developers Ansible: Provisioning and Configuration Management Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud Vagrant: Test images with vagrant

Ansible Workshop for Pythonistas from Mihai Criveti

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0 Mihai Criveti - PyCon Ireland - Automate Everything /cmihai/mihai-criveti-pycon-ireland-automate-everything 09-mihaicriveti-pyconireland2019-automateeverything-211023132357
PyCon Ireland - Python DevOps flows with Ansible, Packer & Kubernetes - Mihai Criveti https://www.youtube.com/watch?v=lO884XAdddQ 1 Packer: Image Build Automation 2 OpenSCAP: Automate Security Baselines 3 Ansible: Provisioning and Configuration Management 4 Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud 5 Vagrant: Test images with vagrant 6 Package Python Applications with setuptools 7 Kubernetes: Container Orchestration at Scale 8 DevOps Culture and Practice]]>
PyCon Ireland - Python DevOps flows with Ansible, Packer & Kubernetes - Mihai Criveti https://www.youtube.com/watch?v=lO884XAdddQ 1 Packer: Image Build Automation 2 OpenSCAP: Automate Security Baselines 3 Ansible: Provisioning and Configuration Management 4 Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud 5 Vagrant: Test images with vagrant 6 Package Python Applications with setuptools 7 Kubernetes: Container Orchestration at Scale 8 DevOps Culture and Practice]]> Sat, 23 Oct 2021 13:23:57 GMT /cmihai/mihai-criveti-pycon-ireland-automate-everything cmihai@slideshare.net(cmihai) Mihai Criveti - PyCon Ireland - Automate Everything cmihai PyCon Ireland - Python DevOps flows with Ansible, Packer & Kubernetes - Mihai Criveti https://www.youtube.com/watch?v=lO884XAdddQ 1 Packer: Image Build Automation 2 OpenSCAP: Automate Security Baselines 3 Ansible: Provisioning and Configuration Management 4 Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud 5 Vagrant: Test images with vagrant 6 Package Python Applications with setuptools 7 Kubernetes: Container Orchestration at Scale 8 DevOps Culture and Practice <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/09-mihaicriveti-pyconireland2019-automateeverything-211023132357-thumbnail.jpg?width=120&height=120&fit=bounds" /> PyCon Ireland - Python DevOps flows with Ansible, Packer & Kubernetes - Mihai Criveti https://www.youtube.com/watch?v=lO884XAdddQ 1 Packer: Image Build Automation 2 OpenSCAP: Automate Security Baselines 3 Ansible: Provisioning and Configuration Management 4 Molecule: Test your Ansible Playbooks on Docker, Vagrant or Cloud 5 Vagrant: Test images with vagrant 6 Package Python Applications with setuptools 7 Kubernetes: Container Orchestration at Scale 8 DevOps Culture and Practice

Mihai Criveti - PyCon Ireland - Automate Everything from Mihai Criveti

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0 Data Science at Scale - The DevOps Approach /cmihai/data-science-at-scale-the-devops-approach 08-machinelearningday-mihaicriveti-datascienceatscale-thedevopsapproach-211023132159
DevOps Practices for Data Scientists and Engineers 1 Data Science Landscape 2 Process and Flow 3 The Data 4 Data Science Toolkit 5 Cloud Computing Solutions 6 The rise of DevOps 7 Reusable Assets and Practices 8 Skills Development]]>
DevOps Practices for Data Scientists and Engineers 1 Data Science Landscape 2 Process and Flow 3 The Data 4 Data Science Toolkit 5 Cloud Computing Solutions 6 The rise of DevOps 7 Reusable Assets and Practices 8 Skills Development]]> Sat, 23 Oct 2021 13:21:59 GMT /cmihai/data-science-at-scale-the-devops-approach cmihai@slideshare.net(cmihai) Data Science at Scale - The DevOps Approach cmihai DevOps Practices for Data Scientists and Engineers 1 Data Science Landscape 2 Process and Flow 3 The Data 4 Data Science Toolkit 5 Cloud Computing Solutions 6 The rise of DevOps 7 Reusable Assets and Practices 8 Skills Development <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/08-machinelearningday-mihaicriveti-datascienceatscale-thedevopsapproach-211023132159-thumbnail.jpg?width=120&height=120&fit=bounds" /> DevOps Practices for Data Scientists and Engineers 1 Data Science Landscape 2 Process and Flow 3 The Data 4 Data Science Toolkit 5 Cloud Computing Solutions 6 The rise of DevOps 7 Reusable Assets and Practices 8 Skills Development

Data Science at Scale - The DevOps Approach from Mihai Criveti

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0 ShipItCon - Continuous Deployment and Multicloud with Ansible and Kubernetes /slideshow/shipitcon-continuous-deployment-and-multicloud-with-ansible-and-kubernetes/250511941 07-mihaicriveti-shipitcon-continuousdeploymentandmulticloudwithansibleandkubernetes-211023131949
Continuous Deployment and Multi-Cloud with Ansible, Packer, OpenSCAP and Kubernetes Building and automating a multi-cloud pipeline using Ansible, Packer, OpenSCAP and Molecule Using Kubernetes to orchestrate containers at scale ShipItCon is a community driven, not-for-profit conference about Software Delivery https://shipitcon.com/]]>
Continuous Deployment and Multi-Cloud with Ansible, Packer, OpenSCAP and Kubernetes Building and automating a multi-cloud pipeline using Ansible, Packer, OpenSCAP and Molecule Using Kubernetes to orchestrate containers at scale ShipItCon is a community driven, not-for-profit conference about Software Delivery https://shipitcon.com/]]> Sat, 23 Oct 2021 13:19:48 GMT /slideshow/shipitcon-continuous-deployment-and-multicloud-with-ansible-and-kubernetes/250511941 cmihai@slideshare.net(cmihai) ShipItCon - Continuous Deployment and Multicloud with Ansible and Kubernetes cmihai Continuous Deployment and Multi-Cloud with Ansible, Packer, OpenSCAP and Kubernetes Building and automating a multi-cloud pipeline using Ansible, Packer, OpenSCAP and Molecule Using Kubernetes to orchestrate containers at scale ShipItCon is a community driven, not-for-profit conference about Software Delivery https://shipitcon.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/07-mihaicriveti-shipitcon-continuousdeploymentandmulticloudwithansibleandkubernetes-211023131949-thumbnail.jpg?width=120&height=120&fit=bounds" /> Continuous Deployment and Multi-Cloud with Ansible, Packer, OpenSCAP and Kubernetes Building and automating a multi-cloud pipeline using Ansible, Packer, OpenSCAP and Molecule Using Kubernetes to orchestrate containers at scale ShipItCon is a community driven, not-for-profit conference about Software Delivery https://shipitcon.com/

ShipItCon - Continuous Deployment and Multicloud with Ansible and Kubernetes from Mihai Criveti

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0 DevOps for Data Engineers - Automate Your Data Science Pipeline with Ansible, Python and Kubernetes /slideshow/devops-for-data-engineers-automate-your-data-science-pipeline-with-ansible-python-and-kubernetes/250511938 05-mihaicriveti-devopsfordataengineers-automateyourdatasciencepipelinewithansiblepythonandkubernetes-211023131814
Automate your Data Science pipeline with Ansible, Python and Kubernetes - ODSC Talk What is Data Science and the Data Science Landscape Process and Flow Understanding Data The Data Science Toolkit The Big Data Challenge Cloud Computing Solutions The rise of DevOps in Data Science Automate your data pipeline with Ansible]]>
Automate your Data Science pipeline with Ansible, Python and Kubernetes - ODSC Talk What is Data Science and the Data Science Landscape Process and Flow Understanding Data The Data Science Toolkit The Big Data Challenge Cloud Computing Solutions The rise of DevOps in Data Science Automate your data pipeline with Ansible]]> Sat, 23 Oct 2021 13:18:12 GMT /slideshow/devops-for-data-engineers-automate-your-data-science-pipeline-with-ansible-python-and-kubernetes/250511938 cmihai@slideshare.net(cmihai) DevOps for Data Engineers - Automate Your Data Science Pipeline with Ansible, Python and Kubernetes cmihai Automate your Data Science pipeline with Ansible, Python and Kubernetes - ODSC Talk What is Data Science and the Data Science Landscape Process and Flow Understanding Data The Data Science Toolkit The Big Data Challenge Cloud Computing Solutions The rise of DevOps in Data Science Automate your data pipeline with Ansible <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/05-mihaicriveti-devopsfordataengineers-automateyourdatasciencepipelinewithansiblepythonandkubernetes-211023131814-thumbnail.jpg?width=120&height=120&fit=bounds" /> Automate your Data Science pipeline with Ansible, Python and Kubernetes - ODSC Talk What is Data Science and the Data Science Landscape Process and Flow Understanding Data The Data Science Toolkit The Big Data Challenge Cloud Computing Solutions The rise of DevOps in Data Science Automate your data pipeline with Ansible

DevOps for Data Engineers - Automate Your Data Science Pipeline with Ansible, Python and Kubernetes from Mihai Criveti

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0 OpenShift Virtualization - VM and OS Image Lifecycle /slideshow/openshift-virtualization-vm-and-os-image-lifecycle/250511913 mihai-criveti-04-211023130507
Building and packaging OS Images with KVM, qemu-img and podman and deploying them onto Kubernetes and KubeVirt with OpenShift Virtualization Build and create images using Hashicorp Packer and Kickstart - create layered images for multiple cloud providers.]]>
Building and packaging OS Images with KVM, qemu-img and podman and deploying them onto Kubernetes and KubeVirt with OpenShift Virtualization Build and create images using Hashicorp Packer and Kickstart - create layered images for multiple cloud providers.]]> Sat, 23 Oct 2021 13:05:07 GMT /slideshow/openshift-virtualization-vm-and-os-image-lifecycle/250511913 cmihai@slideshare.net(cmihai) OpenShift Virtualization - VM and OS Image Lifecycle cmihai Building and packaging OS Images with KVM, qemu-img and podman and deploying them onto Kubernetes and KubeVirt with OpenShift Virtualization Build and create images using Hashicorp Packer and Kickstart - create layered images for multiple cloud providers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihai-criveti-04-211023130507-thumbnail.jpg?width=120&height=120&fit=bounds" /> Building and packaging OS Images with KVM, qemu-img and podman and deploying them onto Kubernetes and KubeVirt with OpenShift Virtualization Build and create images using Hashicorp Packer and Kickstart - create layered images for multiple cloud providers.

OpenShift Virtualization - VM and OS Image Lifecycle from Mihai Criveti

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0 Kubernetes Story - Day 3: Deploying and Scaling Applications on OpenShift /slideshow/kubernetes-story-day-3-deploying-and-scaling-applications-on-openshift/250511900 mihai-criveti-03-211023130107
Day 3: OpenShift, CodeReady Containers and Operators https://www.youtube.com/watch?v=0txK3icU2Pg Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC) ]]>
Day 3: OpenShift, CodeReady Containers and Operators https://www.youtube.com/watch?v=0txK3icU2Pg Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC) ]]> Sat, 23 Oct 2021 13:01:07 GMT /slideshow/kubernetes-story-day-3-deploying-and-scaling-applications-on-openshift/250511900 cmihai@slideshare.net(cmihai) Kubernetes Story - Day 3: Deploying and Scaling Applications on OpenShift cmihai Day 3: OpenShift, CodeReady Containers and Operators https://www.youtube.com/watch?v=0txK3icU2Pg Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihai-criveti-03-211023130107-thumbnail.jpg?width=120&height=120&fit=bounds" /> Day 3: OpenShift, CodeReady Containers and Operators https://www.youtube.com/watch?v=0txK3icU2Pg Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC)

Kubernetes Story - Day 3: Deploying and Scaling Applications on OpenShift from Mihai Criveti

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0 Kubernetes Story - Day 2: Quay.io Container Registry for Publishing, Building and Securing images /slideshow/kubernetes-story-day-2-quayio-container-registry-for-publishing-building-and-securing-images/250511452 mihai-criveti-02-211023105254
Friday Brunch - a Kubernetes Story - Day 2: Build containers with Buildah, Skopeo and Quay.io https://www.youtube.com/watch?v=ygJrzMIZiWQ In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift. Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC) ]]>
Friday Brunch - a Kubernetes Story - Day 2: Build containers with Buildah, Skopeo and Quay.io https://www.youtube.com/watch?v=ygJrzMIZiWQ In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift. Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC) ]]> Sat, 23 Oct 2021 10:52:54 GMT /slideshow/kubernetes-story-day-2-quayio-container-registry-for-publishing-building-and-securing-images/250511452 cmihai@slideshare.net(cmihai) Kubernetes Story - Day 2: Quay.io Container Registry for Publishing, Building and Securing images cmihai Friday Brunch - a Kubernetes Story - Day 2: Build containers with Buildah, Skopeo and Quay.io https://www.youtube.com/watch?v=ygJrzMIZiWQ In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift. Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihai-criveti-02-211023105254-thumbnail.jpg?width=120&height=120&fit=bounds" /> Friday Brunch - a Kubernetes Story - Day 2: Build containers with Buildah, Skopeo and Quay.io https://www.youtube.com/watch?v=ygJrzMIZiWQ In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift. Experience new tools to build, manage and deploy containerized applications following best practices. Learn how to build containers locally with podman, skopeo and buildah, publish and scan containers for vulnerabilities - and deploy containerized applications locally or on cloud using Kubernetes and OpenShift! Mihai will take you through the process of: Day 1 = Build: Building and running container images locally with podman, skopeo and buildah. Building containers for years or just getting started? Check out these new tools that help you build and run containers locally, and how they can help you get started with Kubernetes and OpenShift. Learn some of the best practices on how you can build containers that run as regular users and how to automate the container build process using buildah. Learn about the Universal Base Image and how you can start your image builds from a known, trusted source. and then over the next two Fridays the story will evolve as follows... Day 2 = Publish: Publishing container images to quay.io and scanning containers for vulnerabilities and container best practices Day 3 = Deploy: Getting started with OpenShift using CodeReady Containers or OKD and deploying containers on a Kubernetes Platform (Red Hat OpenShift / OKD / CRC)

Kubernetes Story - Day 2: Quay.io Container Registry for Publishing, Building and Securing images from Mihai Criveti

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0 Kubernetes Story - Day 1: Build and Manage Containers with Podman /slideshow/kubernetes-story-day-1-build-and-manage-containers-with-podman/250511445 mihai-criveti-01-211023105000
OpenShift Workshop Day 1: https://www.youtube.com/watch?v=3IuaZu8-fsY - Build and Manage Containers with Podman In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift.]]>
OpenShift Workshop Day 1: https://www.youtube.com/watch?v=3IuaZu8-fsY - Build and Manage Containers with Podman In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift.]]> Sat, 23 Oct 2021 10:50:00 GMT /slideshow/kubernetes-story-day-1-build-and-manage-containers-with-podman/250511445 cmihai@slideshare.net(cmihai) Kubernetes Story - Day 1: Build and Manage Containers with Podman cmihai OpenShift Workshop Day 1: https://www.youtube.com/watch?v=3IuaZu8-fsY - Build and Manage Containers with Podman In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihai-criveti-01-211023105000-thumbnail.jpg?width=120&height=120&fit=bounds" /> OpenShift Workshop Day 1: https://www.youtube.com/watch?v=3IuaZu8-fsY - Build and Manage Containers with Podman In this workshop you'll learn how to build and manage containers, publish images to Quay, then install and deploy containers onto OpenShift.

Kubernetes Story - Day 1: Build and Manage Containers with Podman from Mihai Criveti

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0 Container Technologies and Transformational value /slideshow/container-technologies-and-transformational-value/250511425 mihaicriveti-gtc-containertechnologiesandtransformationvalue-211023104332
Transformational value for container technologies - the business impact of Digital Transformation to Cloud Native technologies. A brief overview of the technology impact of containers, OpenShift and automation. Talk delivered at Guide Share Europe Conference 2021: https://www.youtube.com/watch?v=1QunNECL26M]]>
Transformational value for container technologies - the business impact of Digital Transformation to Cloud Native technologies. A brief overview of the technology impact of containers, OpenShift and automation. Talk delivered at Guide Share Europe Conference 2021: https://www.youtube.com/watch?v=1QunNECL26M]]> Sat, 23 Oct 2021 10:43:31 GMT /slideshow/container-technologies-and-transformational-value/250511425 cmihai@slideshare.net(cmihai) Container Technologies and Transformational value cmihai Transformational value for container technologies - the business impact of Digital Transformation to Cloud Native technologies. A brief overview of the technology impact of containers, OpenShift and automation. Talk delivered at Guide Share Europe Conference 2021: https://www.youtube.com/watch?v=1QunNECL26M <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihaicriveti-gtc-containertechnologiesandtransformationvalue-211023104332-thumbnail.jpg?width=120&height=120&fit=bounds" /> Transformational value for container technologies - the business impact of Digital Transformation to Cloud Native technologies. A brief overview of the technology impact of containers, OpenShift and automation. Talk delivered at Guide Share Europe Conference 2021: https://www.youtube.com/watch?v=1QunNECL26M

Container Technologies and Transformational value from Mihai Criveti

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0 OpenShift Commons - Adopting Podman, Skopeo and Buildah for Building and Managing Containers /slideshow/openshift-commons-adopting-podman-skopeo-and-buildah-for-building-and-managing-containers/250511400 kube-talks-openshift-commons-lessons-learned-podman-211023103604
KubeCon OpenShift Commons - How Podman, Skopeo and Buildah provide a drop in replacement for Docker. How Podman offers better security using a fork-exec model. Building images with buildah. Introducing podman-compose and the Red Hat Universal Base Image.]]>
KubeCon OpenShift Commons - How Podman, Skopeo and Buildah provide a drop in replacement for Docker. How Podman offers better security using a fork-exec model. Building images with buildah. Introducing podman-compose and the Red Hat Universal Base Image.]]> Sat, 23 Oct 2021 10:36:03 GMT /slideshow/openshift-commons-adopting-podman-skopeo-and-buildah-for-building-and-managing-containers/250511400 cmihai@slideshare.net(cmihai) OpenShift Commons - Adopting Podman, Skopeo and Buildah for Building and Managing Containers cmihai KubeCon OpenShift Commons - How Podman, Skopeo and Buildah provide a drop in replacement for Docker. How Podman offers better security using a fork-exec model. Building images with buildah. Introducing podman-compose and the Red Hat Universal Base Image. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kube-talks-openshift-commons-lessons-learned-podman-211023103604-thumbnail.jpg?width=120&height=120&fit=bounds" /> KubeCon OpenShift Commons - How Podman, Skopeo and Buildah provide a drop in replacement for Docker. How Podman offers better security using a fork-exec model. Building images with buildah. Introducing podman-compose and the Red Hat Universal Base Image.

OpenShift Commons - Adopting Podman, Skopeo and Buildah for Building and Managing Containers from Mihai Criveti

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0 AnsibleFest 2021 - DevSecOps with Ansible, OpenShift Virtualization, Packer and OpenSCAP /slideshow/ansiblefest-2021-mihai-criveti-devsecops-with-ansible-openshift-virtualization-packer-and-openscap/250511367 mihaicriveti-ansiblefest2021-automateeverything-devsecopsforosimageswithansible-211023102636
Building a secure image pipeline with Ansible. Generating secure OS images for OpenShift Virtualization. Creating a immutable image pipeline with Ansible, OpenSCAP, Packer, Molecule and Vagrant. Packaging OS images for consumption to OpenShift Virtualization.]]>
Building a secure image pipeline with Ansible. Generating secure OS images for OpenShift Virtualization. Creating a immutable image pipeline with Ansible, OpenSCAP, Packer, Molecule and Vagrant. Packaging OS images for consumption to OpenShift Virtualization.]]> Sat, 23 Oct 2021 10:26:36 GMT /slideshow/ansiblefest-2021-mihai-criveti-devsecops-with-ansible-openshift-virtualization-packer-and-openscap/250511367 cmihai@slideshare.net(cmihai) AnsibleFest 2021 - DevSecOps with Ansible, OpenShift Virtualization, Packer and OpenSCAP cmihai Building a secure image pipeline with Ansible. Generating secure OS images for OpenShift Virtualization. Creating a immutable image pipeline with Ansible, OpenSCAP, Packer, Molecule and Vagrant. Packaging OS images for consumption to OpenShift Virtualization. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mihaicriveti-ansiblefest2021-automateeverything-devsecopsforosimageswithansible-211023102636-thumbnail.jpg?width=120&height=120&fit=bounds" /> Building a secure image pipeline with Ansible. Generating secure OS images for OpenShift Virtualization. Creating a immutable image pipeline with Ansible, OpenSCAP, Packer, Molecule and Vagrant. Packaging OS images for consumption to OpenShift Virtualization.

AnsibleFest 2021 - DevSecOps with Ansible, OpenShift Virtualization, Packer and OpenSCAP from Mihai Criveti

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0 https://cdn.slidesharecdn.com/profile-photo-cmihai-48x48.jpg?cb=1750773275 Distinguished Engineer at IBM. Leads AI Agents, Tools, Integrations and Extensions for IBM Consulting Advantage - the AI Services Platform supporting 160,000 IBMers in client delivery with consistency and speed. blog.boreas.ro/ https://cdn.slidesharecdn.com/ss_thumbnails/mihaicriveti-introducingcontextforgemcpgateway-250624132454-df51aa05-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/contextforge-mcp-gateway-the-missing-proxy-for-ai-agents-and-tools/280961197 ContextForge MCP Gatew... https://cdn.slidesharecdn.com/ss_thumbnails/mihai-criveti-overcome-llm-limitations-230910124055-b0858d5c-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/10-limitations-of-large-language-models-and-mitigation-options/260767853 10 Limitations of Larg... https://cdn.slidesharecdn.com/ss_thumbnails/shipitcon-mihai-criveti-retrieval-augmented-generation-230907095712-1fe18c84-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/retrieval-augmented-generation-in-practice-scalable-genai-platforms-with-k8s-langchain-huggingface-and-vector/260654221 Retrieval Augmented Ge...