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Devops News
Dev
1h
161
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How to Dockerize FastAPI
- Here is the final Dockerfile that will produce an image for your FastAPI app
- The Dockerfile sets up a python:3.9 base image and creates a working directory
- It copies the requirements.txt file and installs the dependencies using pip
- Finally, it copies the rest of the application code and specifies the command to run the app using fastapi
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Dev
2h
192
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App of Apps Pattern: Efficient Kubernetes Deployment Strategies with Terraform and ArgoCD
- Terraform transforms infrastructure management by defining infrastructure using declarative configuration files, supporting multi-cloud and hybrid cloud deployments, enabling consistent, reproducible infrastructure creation, and providing a clear, version-controlled view of infrastructure state.
- ArgoCD bridges the gap between Git repositories and Kubernetes clusters by enabling declarative continuous delivery, automatic synchronization of application states, easy rollbacks and versioning, and support for multiple sync strategies.
- The GitOps Repo is crucial for managing your Kubernetes deployments and configurations using ArgoCD.
- The manifests folder under the GitOps Repo contains multiple ArgoCD application configurations, following the "App of Apps" pattern.
- GitOps represents a paradigm shift in infrastructure and application management, reducing manual intervention, enhancing consistency and security, and enabling faster recovery from failures.
- Organizations can achieve unprecedented levels of efficiency, reliability, and agility by embracing modern infrastructure management technologies like Terraform, Kubernetes, ArgoCD, and GitOps principles.
- Recommended tools and resources include Terraform, Kubernetes, ArgoCD, Helm, GitHub/GitLab/Azure DevOps, Prometheus, and Grafana.
- The traditional infrastructure management approach suffered from inconsistent environments, configuration drift, limited visibility into changes, complex rollback procedures, and slow and risky deployments.
- The core principles of GitOps include declarative configuration, version control, automated synchronization, and immutable infrastructure to achieve improved consistency, enhanced security, and scalable infrastructure management.
- The practical implementation strategy for modern infrastructure and application management includes defining infrastructure with Terraform, installing ArgoCD on Kubernetes, and implementing GitOps Workflow for continuous deployment.
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Dev
4h
81
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Complete Guide to AWS Route 53: DNS Management Made Easy! 🌐
- AWS Route 53 is a DNS management service used for directing internet traffic to your resources.
- AWS Route 53 uses DNS records as building blocks which includes A Records, CNAME, NS Records, SOA Records and Alias Records.
- Route 53's Alias Records is Amazon's special sauce which works like a CNAME on steroids and works with root domains and doesn't cost extra.
- The article provides a step-by-step setup guide for Route 53 and gives an overview of the various routing policies it offers.
- Routing policies such as Simple Routing, Weighted Routing, Geolocation Routing, Failover Routing, Latency-Based Routing, IP-Based Routing, and Multivalue Answer Routing are discussed in the article.
- The article gives some pro tips including always using load balancers to point to EC2 instances, keeping private stuff in private subnets, setting health checks and using alias records for AWS services.
- The article also gives some money-saving tips such as using alias records and caching when possible.
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Medium
4h
88
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Mastering Amazon EC2: A Step-by-Step Guide to Launching, Configuring, and Deploying Your First…
- Amazon EC2 (Elastic Compute Cloud) provides virtual servers, known as instances, in the cloud.
- AWS offers various instance types optimized for different use cases.
- EC2 eliminates the need for upfront hardware investments and simplifies the deployment of virtual servers.
- In this tutorial, you’ve learned how to create an EC2 instance using Ubuntu, connect to it, and set up a custom web server with NGINX.
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The New Stack
5h
127
Image Credit: The New Stack
Return to PaaS: Building the Platform of Our Dreams
- PaaS made application deployment simple and easy, without the need to manually setup cloud environments, databases and servers, increasing developers productivity and allowing them to concentrate on coding
- As the software stacks grew and DevOps became more prominent, the entire ecosystem has been built to help developers launch cloud-native apps
- However, the complexity and the plethora of options, tools, and technology are slowing down development teams while increasing maintenance
- Large organizations may be able to fund platform engineering teams, whose job it is to build and deploy cloud platforms for internal developers, and streamline DevOps practices
- But not all organizations have the resources, which is why cloud-first PaaS built on modern cloud deployment frameworks can deliver the same productivity gains to many organizations as the original PaaS did.
- Modern PaaS platforms like Heroku's new PaaS employs cloud-native buildpacks and OpenTelemetry for observability, freeing developers and platform engineering teams from manual deployments
- Its platform engineering team provides standardization and automation for DevOps, gives internal developers ease of selecting the necessary infrastructure, creates a better developer experience, reduces developer cognitive load, makes cloud deployments easier, and leverages existing developer cloud platforms.
- This provides big productivity gains as developers can now focus on what they do best; coding excellent applications.
- The return of cloud-native PaaS means that teams can abstract away the complexity from their cloud platforms, boosting the productivity of their developers.
- It is now back to having smart experts building and supporting simple, efficient, and scalable solutions for every business, allowing teams to do what they do best - coding.
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7 Likes
Dev
5h
200
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Create Multi Stage Docker Image
- Docker's multi stage build feature offers a simplified method of reducing image size without sacrificing functionality.
- A multi-stage Docker image is a Docker build approach that optimizes the build process by using numerous stages in a single Dockerfile.
- In this article, you'll learn how to optimize images by creating a multi-stage Docker image for a Node.js application.
- Docker's multi-stage builds help in producing lean optimized images by dividing the build and runtime stages.
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12 Likes
Silicon
6h
139
Image Credit: Silicon
UK’s CMA Begins Probe Into Apple, Google Mobile Ecosystems
- The UK's Competition and Markets Authority (CMA) has initiated an investigation into the dominance of Apple and Google in mobile ecosystems.
- The investigation will assess their position in mobile operating systems, app stores, and browsers, as well as competition within their ecosystems and potential exploitative conduct.
- The CMA aims to promote competition, foster innovation, and provide new opportunities for businesses and consumers in the UK.
- A final decision is expected by the end of October 2025.
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The New Stack
8h
165
Image Credit: The New Stack
How Oracle Is Meeting the Infrastructure Needs of AI
- Customers of cloud providers like Oracle are demanding new infrastructure to handle the needs of AI workloads.
- The demand for GPUs has increased with the rise of AI technology.
- Oracle Cloud Infrastructure is building the largest supercluster for GPUs to accommodate massive AI training jobs.
- Running AI workloads on GPUs requires new features and observability in Kubernetes.
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Dev
8h
261
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Terraform Backend Configuration: Local and Remote Options
- Terraform manages the infrastructure changes using a state file, which tracks the changes made to the resources deployed to the cloud using Terraform.
- This blog will discuss Terraform backends, their types, and how to configure them for various cloud providers, such as AWS, Azure, and GCP.
- Using the backend, state files can be stored either locally or in a centralized remote location, depending on the size and requirements of the engineering team responsible for the structure.
- Terraform backend is used among teams as a de facto practice due to its benefits, such as versioning, state locking, etc.
- There are two types of Terraform backends: local and remote. Let’s learn more about them in this section.
- The remote backend configuration stores the state file in a centralized and secure location, such as a cloud-based storage service (S3) or Terraform cloud.
- When you are working with different cloud providers such as AWS, Azure, or GCP, they use their own cloud storage to store the state file.
- By default, the local backend configuration stores the state file in the same directory as the Terraform code.
- env0 provides a remote backend to facilitate secure and streamlined team collaboration, which creates a foundation for a unified deployment process across the organization and enables many other governance, automation, and visibility feature.
- By now, you should have a clear understanding of Terraform backends and if you want to use a local backend or a remote one.
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15 Likes
Dev
9h
191
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Docker Scout in Kubernetes: Advanced Container Security for Cloud-Native Environments
- Docker Scout offers powerful security features for Kubernetes environments, enabling DevSecOps teams to implement robust container security.
- The guide covers setting up a comprehensive Kubernetes security scanning pipeline using Docker Scout.
- It explains how to implement custom Kubernetes controllers for automated security scanning.
- The article also discusses implementing Kubernetes security policies, multi-cluster security management, GitOps integration, and best practices for Kubernetes security.
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11 Likes
Dev
19h
159
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Taking over a project, the SINAPTIA way
- Onboarding: The first step is to understand the project by doing a walk-through, analyzing the code base, and getting familiar with the infrastructure.
- Roadmap and Project Management: Prioritize and organize issues into epics, build a roadmap, assemble the team, define the work methodology, and write tickets.
- Development: Once the roadmap is in place, development begins with the team gaining familiarity with the application and business logic.
- Moving forward: Effective communication and a methodical approach contribute to a successful takeover, resulting in long-lasting relationships with project owners.
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9 Likes
Amazon
4h
64
Image Credit: Amazon
Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach
- Amazon SageMaker Studio's automated continuous integration and delivery (CI/CD) pipeline solution helps deploy custom Docker images to SageMaker Studio domains.
- The solution promoted consistency of analytical environment standards across data science teams across enterprises.
- The pipeline is automated by AWS CodePipeline and automates creation and attachment of Docker images.
- The pipeline automates code base check-out, Docker image creation based on configuration, push to Amazon Elastic Container Registry.
- If no high-security vulnerabilities are found, the deployment proceeds to manual approval stage before deployment.
- The default automation helps create SageMaker domain and attach custom images to the domain.
- The solution is geared towards platform teams and ML engineers responsible for managing and standardizing custom environments across organizations.
- Individual data scientists seeking self-service experience are advised to the native Docker support in SageMaker Studio.
- The authors also explain how to add more custom images using Dockerfile specifications.
- After a successful deployment, the custom image is attached to domain configuration.
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3 Likes
Dev
10h
46
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Why we’re betting on Kubernetes (and you should too)
- We're placing a big bet on Kubernetes as our entire startup depends on its success.
- Kubernetes is open-source and supported by a massive, active community.
- It has been battle-tested over the years and is now the most popular container orchestrator.
- Kubernetes is not just a tool for managing containers, but an extensible API for building platforms.
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2 Likes
Dev
11h
273
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How I Turned a Simple Course Idea Into a Thriving Online Program
- When creating online courses, the design and delivery are crucial for engagement and success.
- Courses often suffer from poor engagement and high dropout rates due to static learning.
- Strategies to improve courses include designing for specific outcomes, using video to create connection, incorporating microlearning and quizzes, and adding real-world applications.
- Implementing these changes can significantly improve completion rates and learner satisfaction.
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16 Likes
Dbi-Services
14h
207
Image Credit: Dbi-Services
Creating your private cloud using OpenStack – (5) – The Compute service
- In this article, the author describes the procedure for setting up the compute service in OpenStack, also known as Nova.
- Nova interacts with OpenStack Identity for authentication, OpenStack Placement for resource inventory tracking and selection, OpenStack Image service for disk and server images, and OpenStack Dashboard for the user and administrative interface.
- The article explains how to prepare and configure the database backend, create service credentials and endpoints, install required packages, and configure Nova in detail on the controller and compute nodes.
- It also covers how to install and enable libvirt on the compute node.
- Lastly, the author demonstrates how to discover hosts, attach them to a cell, and verify the image service and placement API are working properly.
- The article concludes with a diagram of the final OpenStack deployment, and a hint at the next article which covers the Network Service (Neutron).
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