Kubernetes will remove these features in v1.31
Did you know that Facebook doesn’t use Git?
Welcome to the 58th edition of CloudPro! Today, we’ll talk about:
⭐Masterclass:
🔍Secret Knowledge:
⚡Techwave:
🛠️HackHub: Best Tools for the Cloud
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Editor-in-Chief
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⭐MasterClass: Tutorials & Guides
⭐Using S3 as a container registry
Using Amazon S3 as a container registry involves exposing an S3 bucket via HTTP and uploading container image files to specific paths within the bucket. This setup allows you to pull Docker images directly from the S3 bucket using standard Docker commands. Although unconventional compared to traditional container registries like DockerHub or Amazon ECR, S3 offers a significant speed advantage for uploading image layers due to its capability for parallel chunked uploads.
⭐Troubleshooting GKE Networking Connectivity issues
Common problems in GKE include control plane connectivity issues, pod-to-pod or node communication failures, and external connectivity challenges. To troubleshoot these issues, you can run connectivity tests, isolate the problem by testing from a VM, check GKE configurations such as IP Masquerading and Network Policies, and compare node configurations. For external communication, ensure Cloud NAT is enabled, and for control plane access, verify authorized networks and endpoint settings.
⭐How Grafana Security is using Dapr to improve vulnerability scanning
Grafana Security uses Dapr to enhance vulnerability scanning by implementing an event-driven architecture on AWS managed Kubernetes. This system efficiently handles continuous scans of container images from various sources. Dapr's pub/sub model allows different components like cron jobs and scanner pods to communicate and process events independently, ensuring no scan is missed and automatically retrying failed scans.
⭐9 Ways to Spin Up an EKS Cluster - Way 3
To spin up an EKS cluster using eksctl, you can use simple command-line arguments or YAML configuration files. Installing eksctl is straightforward and it simplifies cluster creation by handling many dependencies and configurations automatically, like creating a VPC. For a basic cluster, you can use command-line arguments to specify cluster details such as region, node type, and scaling options. For more complex and repeatable setups, a YAML file allows for Infrastructure as Code (IaC).
⭐Mastering Serverless Debugging
Use AWS SAM for local debugging and implement feature flags for controlled testing, and utilize staged rollouts and canary deployments to identify issues incrementally. Comprehensive logging and ensuring idempotency are crucial for tracing and reproducing bugs. By combining these approaches, developers can better manage and debug serverless applications despite the inherent difficulties.
📍Learn how to design a strong architecture for your Azure Virtual Desktop
📍Implement, monitor, and maintain a virtual desktop environment
📍Gain insights into Azure Virtual Desktop and prepare successfully for the AZ-140 exam
🔍Secret Knowledge: Learning Resources
🔍Did you know that Facebook doesn’t use Git?
Facebook initially used Git for its codebase but faced performance issues as the codebase grew into a massive monorepo by 2012, causing basic Git operations to take excessively long. When Git maintainers suggested splitting the monorepo instead of improving Git, Facebook turned to Mercurial, a more extensible version control system. After a positive experience with the Mercurial community, Facebook migrated to Mercurial, mapping Git commands to Mercurial equivalents and developing custom workflows like "stacked diffs."
🔍10 Essential Kubernetes Tools You Didn’t Know You Needed
Popeye helps identify misconfigurations in your clusters, KUTTL simplifies testing, Kubescape improves security screening, mirrord bridges local and remote development, Kube-linter checks YAML files for best practices, k3d allows easy cluster creation in Docker, and Kubeshark provides deep visibility into network traffic.
Topology Aware Routing (TAR) in Kubernetes helps cut cloud costs by keeping traffic within the same availability zone, but it can reduce system reliability by not allowing pods in different zones to support each other during failures. To overcome this, High Availability Zonal Load Balancing (HAZL) in Linkerd uses in-band health checks and fine-grained traffic control to dynamically allow cross-zone traffic only when needed, ensuring both cost efficiency and high reliability.
🔍Federated Airflow with SQS - DEV Community
By leveraging SQS, multiple Airflow environments can communicate through events, ensuring dependencies across different domains are managed effectively. This approach avoids single points of failure and supports domain-specific data products. The setup involves creating SNS topics and SQS subscriptions, allowing Airflow DAGs to publish messages and respond to events.
🔍Building Lightning-Fast AWS Lambda Functions with LLRT and Terraform
LLRT (Low Latency Runtime) for JavaScript can significantly speed up AWS Lambda functions, offering up to 10 times faster startup and 2 times lower cost compared to traditional runtimes. The guide also covers deploying LLRT with Terraform, a popular Infrastructure as Code tool, detailing the setup and deployment process. LLRT promises substantial improvements in Lambda performance, including reduced initialization times and lower memory usage, making it an exciting tool for optimizing serverless architectures.
⚡ TechWave: Cloud News & Analysis
⚡Kubernetes will remove these features in v1.31
The Kubernetes v1.31 release will bring several important changes, including the removal of outdated features and APIs to streamline the platform. Key updates include the deprecation of the `.status.nodeInfo.kubeProxyVersion` field, the removal of in-tree cloud provider integrations in favor of external solutions, and the discontinuation of the `--keep-terminated-pod-volumes` flag. Additionally, the CephFS and Ceph RBD volume plugins will be removed, with users advised to switch to the respective CSI drivers. Non-CSI volume limit plugins in the kube-scheduler will also be deprecated.
⚡Introducing GitHub Models: AI models directly on GitHub
GitHub Models is a new feature that integrates advanced AI models directly into GitHub, making it easier for developers to experiment with and use these models in their projects. It offers a playground for testing various AI models, like Llama 3.1 and GPT-4o, and then integrates seamlessly into development environments like Codespaces and VS Code. This allows developers to build, test, and deploy AI applications efficiently.
⚡New curated OpenTelemetry ingestion pipeline for GKE
Google Cloud has introduced a new, simplified way for users to collect and export application data using OpenTelemetry on Google Kubernetes Engine (GKE). This new OpenTelemetry Protocol (OTLP) pipeline provides a pre-configured setup for deploying an OpenTelemetry Collector in GKE clusters, making it easier to gather and send logs, metrics, and traces to Google Cloud Observability. The curated pipeline includes essential configuration for common use cases and resource management, streamlining the process for developers to start monitoring their applications efficiently.
⚡Microsoft Azure has launched Azure Container Storage
Microsoft Azure has launched Azure Container Storage, a new cloud storage service specifically designed for managing container workloads on Kubernetes. It simplifies the handling of stateful containers by offering seamless integration with Azure Kubernetes Service (AKS) and supports various storage options like local NVMe and Azure Disks. This service streamlines storage management by allowing operations directly through Kubernetes APIs, reducing the need for manual configuration.
⚡Learn how GenAI can help with SRE tasks: by Google
Generative AI, like Google’s Gemini models, offers powerful tools to streamline and enhance the work of SREs, SysAdmins, DevOps Engineers, and Systems Architects. By starting with a foundational understanding of generative AI concepts through introductory learning paths and hands-on labs, you can learn to leverage these technologies to automate coding, testing, and troubleshooting tasks. Advanced content, including labs on Test Driven Development and Synthetic Monitoring, further demonstrates how to use Gemini to build, test, and ensure the resilience of your applications.
🛠️HackHub: Best Tools for Cloud
Tau is an open-source framework that enables developers to build scalable, low-maintenance cloud computing platforms with minimal configuration. Unlike other cloud providers like Vercel or AWS, Tau operates as a single binary with no external dependencies, using Git for infrastructure management and peer-to-peer networking for seamless node communication.
Atlas is a tool that allows developers to manage and migrate database schemas using modern DevOps principles. It offers two workflows: a declarative approach, where it compares the current database state to a desired state defined in HCL, SQL, or ORM schemas, and a versioned approach, where it automatically plans schema migrations.
Git-cliff is a highly customizable changelog generator that creates changelog files from Git commit history by using conventional commits and regex-powered custom parsers. It supports multiple configuration options to tailor the changelog format to your needs and can be integrated with various CI tools.
🛠️Pongo
Pongo is a tool that provides MongoDB-like functionality on PostgreSQL, leveraging PostgreSQL's strong consistency and ACID-compliance. It uses JSONB to store and query data efficiently, offering a familiar API for those used to MongoDB. Pongo allows for seamless integration with PostgreSQL-based systems while simplifying the handling of semi-structured data and advanced queries.
Terramaid is a utility that transforms Terraform configurations into visually appealing Mermaid diagrams. It helps to convert complex infrastructure setups into easy-to-understand diagrams, enhancing project documentation, simplifying review processes, and fostering better team collaboration.