Best of Cloud Native — September 2024

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   Article

   Medium·2y

   Backend for Frontend (BFF) Architecture

   Backend for Frontend (BFF) architecture is a design pattern that creates a dedicated backend for each frontend interface, addressing specific performance, data, and interaction needs. This approach enhances user experiences by tailoring backends to individual client requirements, simplifies complexity, improves performance, speeds up development, and enhances security. It is particularly beneficial for multi-platform applications, microservice orchestration, and optimizing legacy APIs but also introduces challenges like increased maintenance and potential performance bottlenecks.

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2. 2
   Article

   Community Picks·2y

   Optimizing Docker Image Sizes: Advanced Techniques and Tools

   Optimizing Docker image sizes can greatly enhance your containerized applications' performance, deployment speed, and security while reducing costs. Techniques like using minimal base images (e.g., Alpine, distroless), multi-stage builds, layer optimization, and the `.dockerignore` file help achieve smaller images. Additionally, leveraging Docker BuildKit and language-specific optimizations can further streamline the build process. Regular auditing and updating of images ensure ongoing efficiency and security. These strategies are vital for effective cloud-native and microservices architectures.

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3. 3
   Article

   GitGuardian·2y

   How to Handle Secrets in Go

   Learn how to handle secrets in Golang, exploring various methods like reading from ENV files, using secret managers, and leveraging platform-managed identities. The most secure approach is to synchronize secrets from the secret manager to the runtime environment, enabling seamless integration without altering the app's code. Avoid token-based methods and reading directly from ENV files for better security in cloud-native applications.

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4. 4
   Article

   Wawandco·2y

   Blog: Building an Invoice Generator Service with Encore and Maroto in Go

   Learn how to build a functional PDF invoice generator service using Encore and Maroto in Go. The guide covers setting up the Encore CLI, integrating Maroto for PDF creation, designing the invoice, creating an API endpoint, running and testing the service locally, and deploying it to the cloud. Encore simplifies backend development by handling infrastructure and deployment tasks, while Maroto offers a flexible grid layout for creating well-structured PDFs.

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5. 5
   Article

   Last9·2y

   Optimizing Prometheus Remote Write Performance: Guide

   Prometheus remote write is pivotal for storing and querying long-term metrics as infrastructure scales. Common performance bottlenecks include high CPU and memory usage, network bandwidth consumption, and delayed metric availability. Optimization strategies focus on queue configuration, reducing cardinality, effective relabeling, network optimization, and choosing appropriate remote storage. Best practices include starting with conservative settings, continuous monitoring, and adjusting configurations based on observed performance.

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   Article

   Last9·2y

   OpenTelemetry Collector: The Complete Guide

   OpenTelemetry provides a vendor-agnostic observability framework suitable for distributed systems. The OpenTelemetry Collector, or otelcol, allows for the receipt, processing, and export of telemetry data in diverse formats. It supports multiple protocols and can replace the need for multiple monitoring agents. Key benefits include vendor neutrality, data transformation, scalability, and cost reduction. Use cases range from microservices monitoring to legacy system integration. Advanced topics cover custom processors, high availability setups, and performance tuning. The guide also compares the Collector with Jaeger and emphasizes best practices for effective deployment.

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   Article

   Milan Jovanović·2y

   .NET Aspire: A Game-Changer for Cloud-Native Development?

   Microsoft's .NET Aspire is an opinionated, cloud-ready stack designed to simplify the process of building, deploying, and managing distributed applications. It provides a streamlined setup using .NET Aspire Orchestration, making configurations and integrations more straightforward with built-in observability tools for logging, metrics, and distributed tracing. While Aspire simplifies the setup and monitoring of complex systems, it may present a learning curve for newcomers to cloud-native development. It is particularly well-suited for Azure deployments but requires careful evaluation for simpler applications or non-Azure services.

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   Article

   Medium·2y

   Top 5 Kubernetes Challenges for Platform Teams

   Platform teams face challenges in Kubernetes management such as ensuring flexible multi-tenancy, managing clusters, integrating GitOps, cost management, and maintaining environment consistency. vCluster helps address these by providing isolated, customizable virtual clusters within a physical cluster, reducing operational overhead and enhancing resource efficiency. It supports flexibility, scalable deployments, and seamless updates, making Kubernetes management more efficient and cost-effective.

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   Article

   Last9·2y

   OpenTelemetry Filelog Receiver: Collecting Logs from Kubernetes

   The OpenTelemetry filelog receiver is a valuable tool for log collection in Kubernetes environments. It reads log files and converts them into the OpenTelemetry log format. Setting it up involves deploying the OpenTelemetry Collector in the Kubernetes cluster, configuring it via a YAML file, and applying the configuration. Optimization tips include using batch processors and memory limiters, and troubleshooting advice covers common issues like missing logs and parsing errors. The receiver integrates well with the OpenTelemetry ecosystem and can handle various log sources, including syslog. Advanced parsing techniques and integration with backends like Last9 Levitate are also discussed.

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    Article

    Last9·2y

    Developer's Guide to Installing OpenTelemetry Collector

    Learn how to install and configure the OpenTelemetry Collector to enhance your observability setup. This guide covers various installation methods including Docker, Kubernetes, binary installation for Linux, and package installation for Linux systems. It also explains the basic configuration needed to set up receivers, processors, exporters, and pipelines, along with troubleshooting tips and advanced topics.

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