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Siliconangle
1M
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Gomboc AI secures $13M to tackle cloud security backlogs with deterministic AI
- Gomboc.AI Inc. has raised $13 million in seed funding to address cloud security backlogs with deterministic AI.
- Gomboc.AI offers a deterministic AI solution for cloud security remediations, ensuring consistent and predictable outcomes.
- The platform provides precise, automated code-level fixes for security issues, reducing the number of cloud security vulnerabilities.
- Gomboc.AI's policy-driven framework and reliance on deterministic AI differentiate it from generative AI approaches.
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Alvinashcraft
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Dew Drop – February 19, 2025 (#4365)
- Top links shared in Dew Drop on February 19, 2025 include insights on .NET, Edge features, AI experiences, ASP.NET Core, JavaScript classes, Terraform, and more.
- Web & Cloud Development highlights cover topics like ESLint supporting CSS linting, Auth0 integration in B2B Blazor apps, ASP.NET Core features, middleware automation, AI-driven text suggestions, and securing workload identities.
- Visual Studio & .NET section features articles on writing a .NET Garbage Collector, C# Dev Kit enhancements, managing Worker Applications, ConcurrentDictionary nuances, and optimizing Code Analysis.
- AI advancements in data storage, scalable AI agents, Azure AI Foundry automation, AI toolkits, LLMs benefits, OpenAI updates, and Deep Research expansion are elaborated on in the AI category.
- Design, Methodology & Testing segment discusses unit testing, user data protection, pie chart best practices, resetting expectations, and automating tasks for streamlined processes.
- Mobile, IoT & Game Development insights include updates for Ionic projects, consuming Swift Packages, AI-assisted coding in iOS development, Meta's metaverse potential, and Programmable IO on the Pi Pico.
- Screencasts & Videos section features PowerShell terminal customization, AI programming language discussions, GitHub Copilot updates, and AI insights with Fabian Williams.
- Podcasts cover topics like Managed DevOps Pools, Agile team leadership, Microsoft CTO insights, grammar nuances, and GIS understanding.
- Community & Events share upcoming conferences, free training webcasts, industry layoffs, Microsoft 365 Community Call updates, and IT skills auditing.
- Database insights delve into AI embeddings in SQL Server, considerations for index key column order, and database management systems.
- SharePoint, M365 & MS Teams discuss data import with Copilot in Excel and meeting management streamlining with Copilot.
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Dev
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HELM application chart on 2025
- A universal Helm chart for streamlined Kubernetes deployments with simplified configuration.
- The Helm application chart helps in managing multiple similar charts, making deployment easier and more efficient.
- It supports various resources like Deployments, CronJobs, Jobs, StatefulSets, and more.
- Although not perfect, the Helm application chart is suitable for both simple and complex applications.
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Infoq
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Google Releases Spanner Graph into General Availability
- Google Cloud has released Spanner Graph into general availability, offering new capabilities
- Spanner Graph builds on Cloud Spanner, providing high availability and scalability
- The new capabilities with the GA release include a Spanner Graph Notebook, GraphRAG integration, Graph schema in Spanner Studio, and support for path data type and functions
- Spanner Graph is designed for real-time analysis of large-scale graph data for applications like fraud detection and recommendation engines
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Dev
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Implementing Kubernetes Jobs with NestJS and nest-commander: A Practical Guide (Ex. implementation with Ticketmaster)
- The nest-commander package allows for crafting CLI applications with NestJS structure and flair.
- The nestjs-job-commander repository demonstrates setting up a job processing system in Kubernetes using NestJS and nest-commander.
- The repository includes apps, shared libraries, Kubernetes configuration files, Dockerfile, and environment variables configuration.
- The CLI Enricher is built using NestJS and nest-commander, defining AppModule, main command, and subCommands.
- The TicketMasterEventRefreshCommand within CLI Enricher fetches events from Ticket Master API and stores them.
- Running the job outside Kubernetes involves using 'nest start' command with appropriate setup.
- To run the job inside Kubernetes, steps include building a Docker image, setting environment variables, and creating Kubernetes config maps.
- A cronjob.yaml file helps create a job inside Kubernetes, with scheduled execution of commands.
- With NestJS Commander and Kubernetes, CLI applications can be efficiently built and deployed for job management.
- By utilizing subCommands, Docker, and Kubernetes CronJobs, task automation and batch processing can be streamlined.
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Medium
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Exploring the Role of Containers and Kubernetes in Modern App Development
- Containers and Kubernetes simplify and optimize modern app development.
- Kubernetes enables automated deployment, scaling, and self-healing of applications.
- Containers are lightweight and efficient, maximizing resource usage and reducing costs.
- Kubernetes facilitates automated and efficient deployment, integrating with CI/CD pipelines.
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Dev
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How to Create Kubernetes(K8s) Cluster Home Lab using Ubuntu Server 24.04
- To create a Kubernetes cluster home lab using Ubuntu Server 24.04, set up two nodes - a master node (kb1) and a worker node (kb2) with specific configurations.
- Configure the nodes by changing the hostname, updating the host file for network communication, disabling swap, and loading kernel modules.
- Install Containerd on all nodes to manage container runtimes efficiently and add the Kubernetes package repository to install components like Kubeadm, Kubelet, and Kubectl.
- Initialize the Kubernetes cluster on the master node using Kubeadm and join worker nodes to the cluster.
- Install the Calico network plugin to enable network communication between nodes and ensure they are Ready status.
- Test the Kubernetes installation by creating and exposing an NGINX deployment, checking namespace and deployment status, exposing a service, and accessing the application.
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Hashicorp
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100
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Terraform provides more flexible controls with project-owned variable sets
- HCP Terraform and Terraform Enterprise introduce project-owned variable sets to provide more flexible control and simplify configuration management.
- Project-owned variable sets allow users to define variables once and reuse them across multiple workspaces within a project.
- Previously, variable sets could only be managed at the organization level or workspace level, limiting flexibility.
- This new feature enables variable sets to be owned at the project level, offering custom permission settings.
- Teams gain self-service control over their variable sets, reducing dependencies and enhancing access control.
- Challenges solved by project-owned variable sets include granular permission control and variable reuse within projects.
- Previously, managing variable sets with project-level permission was not possible, posing security and operational challenges.
- Workarounds like requesting platform teams to create variable sets or duplicating variables across workspaces were cumbersome.
- Project-owned variable sets offer three scopes: Global, Project-specific, and Workspace-specific.
- Benefits of project-owned variable sets include simplified management, granular control, and increased operational efficiency.
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Medium
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Azure Bicep Language: Using deployment functions for Dynamic Cloud Deployments
- Bicep is an abstraction on top of Azure Resource Manager (ARM) templates to define Azure resources using declarative Infrastructure as Code.
- The deployer() function provides details about the identity responsible for initiating the deployment, allowing for auditing, tracking, and resource tagging.
- The deployment() function exposes metadata about the current deployment, ensuring traceability and uniqueness in resource configurations.
- The environment() function provides insights into the deployment context, allowing resource properties to be tailored based on the target environment.
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Medium
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The Basics of Version Control: Why Git is Essential for Every Developer
- Git, the most widely used version control system (VCS), has become indispensable in software development workflows.
- Version control is a system that helps track changes to files over time and allows multiple people to collaborate on a project.
- Git is a distributed version control system, allowing developers to work offline and sync changes when ready.
- Understanding Git is fundamental for ensuring smooth collaboration and maintaining code integrity in software development.
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Dev
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Automating ML Pipeline with ModelKits + GitHub Actions
- Managing machine learning models involves juggling code, metadata, and docs.
- ModelKits package models and artifacts together, aiding automation.
- Integrating ModelKits with GitHub Actions automates tasks like testing and deployment.
- Prerequisites include a GitHub account, container registry, KitOps, and GitHub Actions familiarity.
- First, ensure Kit CLI is installed and verify the installation.
- Unpack the LLAMA3 ModelKit locally to organize files and update the Kitfile.
- Integrate with GitHub Actions by configuring secrets and creating a workflow file.
- The workflow includes two jobs: unpacking the model and pushing it to Jozu Hub repository.
- The pipeline optimizes storage by storing the ModelKit as a GitHub artifact.
- Automate building, testing, and deployment with GitHub Actions and KitOps for AI projects.
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Dev
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How to Stream DeepSeek API Responses Using Server-Sent Events (SSE)
- Server-Sent Events (SSE) enable streaming of real-time updates from servers to clients.
- SSE is efficient in terms of resource usage and simplifies client-side logic for AI-generated content.
- Stream DeepSeek API responses using Apidog, a debugging tool that simplifies SSE debugging.
- Apidog allows developers to monitor real-time responses, auto-merge fragmented responses, and debug effortlessly.
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TestSigma
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What is QAOps? Methodologies, Process & Benefits
- QAOps integrates Quality Assurance practices into DevOps, improving quality and speed of software delivery.
- Key components include Continuous Testing, Collaboration, and Feedback Loops for efficient QA processes.
- The QAOps process involves Trigger, Implement, and Reporting phases for effective validation and testing.
- QAOps frameworks involve Automated Testing, Parallel Testing, Regression Testing, and more for software stability.
- QAOps aims to combine testing methods with QA operations, resulting in higher quality and on-time software delivery.
- Challenges of QAOps include the learning curve, time investment, and resource requirements.
- Best practices for QAOps include implementing strong testing processes, automation, and training team members.
- The future of QAOps is expected to be highly automated and cloud-based, improving test coverage and software quality.
- QAOps complements DevOps by focusing on ensuring software quality, with QA specialists closely working with operations and developers.
- QAOps benefits organizations by expanding skills, delivering higher-quality software, and ensuring timely product releases.
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Medium
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of the heuring عالم
- To keep our town clean, we need to pay special attention to cleanliness and avoid throwing waste in drainage gutters.
- An industrial exhibition was arranged in Lahore, where many industries of the country exhibited their goods.
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Eu-Startups
2M
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Cycloid raises €5 million to accelerate sustainable platform engineering growth
- Cycloid has raised €5 million Series A financing to expand its sustainable platform engineering offering.
- The funding will be used to strengthen its presence in Europe and expand across North America.
- Cycloid's platform simplifies collaboration among IT teams and promotes responsible practices such as GreenOps and FinOps.
- The company aims to address multicloud complexity and enable development teams to build internal platforms with minimum overhead.
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