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7 dépôts

Awesome GitHub RepositoriesInstance Launch Configurations

Defining the boot and configuration parameters for new compute instances in scaling groups.

Distinct from Instance Configuration: Candidates focus on registry settings or game launch, not cloud compute bootstrapping.

Explore 7 awesome GitHub repositories matching devops & infrastructure · Instance Launch Configurations. Refine with filters or upvote what's useful.

Awesome Instance Launch Configurations GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • kubernetes/kopsAvatar de kubernetes

    kubernetes/kops

    16,631Voir sur GitHub↗

    kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and destruction of production-grade clusters on cloud infrastructure. It functions as a declarative infrastructure manager, synchronizing the live state of a cluster with versioned manifests stored in remote object storage to ensure idempotent operations. The project distinguishes itself by offering comprehensive automation for the entire cluster lifecycle, including high-availability control plane deployment, incremental rolling updates, and automated version upgrades. It also serve

    Defines boot and configuration parameters, including instance whitelists and spot percentages, for node deployment.

    Gocncfcontainersgo
    Voir sur GitHub↗16,631
  • boto/boto3Avatar de boto

    boto/boto3

    9,834Voir sur GitHub↗

    Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

    Defines the configuration used to bootstrap new compute instances within auto scaling groups.

    Pythonawsaws-sdkcloud
    Voir sur GitHub↗9,834
  • aws/karpenter-provider-awsAvatar de aws

    aws/karpenter-provider-aws

    7,661Voir sur GitHub↗

    karpenter-provider-aws is a Kubernetes node autoscaler and infrastructure provider for AWS. It serves as a node lifecycle manager and cluster cost optimizer that automatically provisions and removes compute instances based on the resource requirements of pending pods. The project distinguishes itself through advanced AWS spot instance orchestration and price-capacity optimized selection to reduce cloud spend. It minimizes costs by consolidating underutilized nodes and prioritizing spot or reserved instances over on-demand capacity, while proactively migrating workloads before cloud provider i

    Ranks and prioritizes instance types across reserved, spot, and on-demand categories to minimize cloud spend.

    Go
    Voir sur GitHub↗7,661
  • dyc87112/springcloud-learningAvatar de dyc87112

    dyc87112/SpringCloud-Learning

    7,375Voir sur GitHub↗

    SpringCloud-Learning is an educational project that demonstrates how to build microservices using Spring Cloud, covering the core patterns of service discovery, centralized configuration management, and API gateway routing. The project provides hands-on examples for registering and discovering microservice instances with Nacos, Eureka, or Consul, and for routing external API requests through Spring Cloud Gateway with support for filters and load balancing. The tutorials explore service resilience through circuit breakers and rate limiting with Sentinel and Hystrix, including custom fallback l

    Shows how to launch multiple Nacos instances locally for development and testing.

    Javaconsuleurekahystrix
    Voir sur GitHub↗7,375
  • j3ssie/osmedeusAvatar de j3ssie

    j3ssie/Osmedeus

    6,425Voir sur GitHub↗

    Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp

    Selects VM sizes and spot instances to reduce compute costs for security scanning.

    Go
    Voir sur GitHub↗6,425
  • lxc/lxdAvatar de lxc

    lxc/lxd

    5,554Voir sur GitHub↗

    LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes

    Launches instances directly on a designated cluster member or member group, overriding automatic placement.

    Go
    Voir sur GitHub↗5,554
  • lxc/incusAvatar de lxc

    lxc/incus

    4,893Voir sur GitHub↗

    Incus is a unified orchestration platform for managing system containers, OCI application containers, and virtual machines through a single control plane. It brings together cluster infrastructure management, secure multi-tenancy, software-defined networking, and pluggable storage backend orchestration into one cohesive system exposed via a full REST API and command-line interface. What distinguishes Incus is its ability to run multiple instance types side by side—full Linux system containers, OCI application containers, and QEMU virtual machines—all managed with consistent tooling. Networkin

    Launches containers or virtual machines from images, then manages their lifecycle through start, stop, delete, copy, and inspect operations.

    Gocloudcontainershacktoberfest
    Voir sur GitHub↗4,893
  1. Home
  2. DevOps & Infrastructure
  3. Instance Launch Configurations

Explorer les sous-tags

  • Instance Type and Mix Policies1 sous-tagDefining instance whitelists and spot-to-on-demand percentages for node deployment in scaling groups. **Distinct from Instance Launch Configurations:** Distinct from Instance Launch Configurations: focuses on instance type selection and mix policies, not general boot parameters.
  • Local Nacos Instance LaunchesStarting multiple Nacos server instances on a single machine for local development and testing. **Distinct from Instance Launch Configurations:** Distinct from Instance Launch Configurations: specifically targets local Nacos server instances, not general cloud compute bootstrapping.
  • Targeted Node LaunchesLaunching instances directly on a designated cluster member or member group. **Distinct from Instance Launch Configurations:** Distinct from Instance Launch Configurations: focuses on targeting specific cluster nodes for launch, not general boot parameters.