DevOps & Cloud

Deployment, cloud, containers, CI/CD, monitoring, and infrastructure

skills in category: 19,645
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Showing 13,729–13,752 of 19,645 skills

LamindbAManages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.devopspythongoVotes: 0GitHub stars: 47,690
Dnanexus IntegrationABuilds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.devopspythonrustVotes: 0GitHub stars: 47,690
Clinical Decision SupportAPrepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.devopspythongoVotes: 0GitHub stars: 47,690
Pytorch LightningADeep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.devopspythonbashVotes: 0GitHub stars: 47,186
Polars BioAHigh-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.devopspythongoVotes: 0GitHub stars: 47,186
NextflowCBuild, run, and debug Nextflow data pipelines and nf-core workflows end to end. Use whenever the user mentions Nextflow, nf-core, .nf files, nextflow.config, DSL2, processes/channels/operators, samplesheets, or wants to run a community pipeline (e.g. nf-core/rnaseq, nf-core/sarek), write or test a module/subworkflow with nf-test, configure executors/containers (Docker, Singularity/Apptainer, Conda, Wave), scale a workflow to HPC/SLURM or cloud (AWS Batch, Google Batch, Azure, Kubernetes), or ...devopspythongoVotes: 0GitHub stars: 47,186
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ModalAModal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.devopspythonrustVotes: 0GitHub stars: 47,186
LamindbAUse when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models. Covers setup, artifact registration, query/search, lineage tracking, validation, ontology-backed annotation with Bionty, collections, branches, storage, and workflow integrations.devopspythongoVotes: 0GitHub stars: 47,186
Dnanexus IntegrationABuild and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.devopspythonrustVotes: 0GitHub stars: 47,186
PacemakerBManages Pacemaker HA clusters with pcs and crmsh for resource provisioning, constraints, STONITH fencing, quorum configuration, and cluster lifecycle operations on two-node and multi-node setups.devopsgobashVotes: 0GitHub stars: 4
Openedge ReplicationBImplements three-tier replication architecture (DRBD+AI, ZFS+AI, AI-only rsync) for Progress OpenEdge 12.x databases without OER license.devopsgoshellVotes: 0GitHub stars: 4
Linux Service Integrity OperationsBExecutes Linux system changes and deployments using zero-downtime patterns, health monitoring, and safe rollback procedures to maintain host availability.devopspythongoVotes: 0GitHub stars: 4
Linux Safe Script ExecutionDPerforms pre-flight validation and interaction mapping for Linux automation scripts to identify availability risks before execution.devopspythonrustVotes: 0GitHub stars: 4
CorosyncCConfigures Corosync Cluster Engine v3.x messaging layer including totem protocol, quorum models, nodelist management, knet/udpu transports, and security for Pacemaker HA clusters.devopsrustgoVotes: 0GitHub stars: 4
Grpc Production ReadinessAImplements gRPC production operational patterns — graceful shutdown, health checking, service configuration, retry policies, TLS/mTLS, keepalive tuning, flow control, bidirectional stream concurrency, and OpenTelemetry observability for reliable service deployment.devopspythongoVotes: 0GitHub stars: 4
Grpc PatternsAImplements gRPC service patterns (unary, streaming, bidirectional), ProtocoldevopspythongoVotes: 0GitHub stars: 4
Graphql SubscriptionsAImplements real-time GraphQL subscriptions with Strawberry Python, WebSocket protocol, PubSub patterns, and client reconnection handling for live data delivery.devopspythongoVotes: 0GitHub stars: 4
Grafana PrometheusAImplements Grafana and Prometheus integration (metrics collection, querying,devopspythongoVotes: 0GitHub stars: 4
Google Cloud SdkAIntegrates Google Cloud services (Compute Engine, Cloud Storage, BigQuery,devopspythongoVotes: 0GitHub stars: 4
Gitlab ApiAIntegrates with the GitLab REST API v4 and GraphQL API via python-gitlabdevopspythonrustVotes: 0GitHub stars: 4
Gitlab Api DevopsAImplements GitLab API functionalities for Developer Platforms and DevOps, covering projects, pipelines, merge requests, runners, and registry management.devopspythongoVotes: 0GitHub stars: 4
Framework RequirementsADefines, evaluates, and validates software framework requirements including non-functional criteria (performance, security, extensibility), weighted selection scoring matrices, proof-of-concept feasibility testing, and architecture decision records for production-grade applications.devopstypescriptpythonVotes: 0GitHub stars: 4
Framework Performance TuningAOptimizes framework runtime performance through profiling-driven bottleneckdevopspythongoVotes: 0GitHub stars: 4
Framework Integration TestingADesigns integration testing strategies including shadow reads, dual-writes, canary deployment validation, and rollback verification to safely validate framework integrations before production commitment.devopspythongoVotes: 0GitHub stars: 4