Results for “cluster-scaling”
27 skillsMore results
Clustering Based Design
Clustering Based Design Skill
1 · bundle
Uncloud
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
0
Qdrant Scaling Query Volume
Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.
36.2k
Nosql Expert
Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
2
Copy Paste Augmentation For Instance Segmentation Arxiv 2012
Copy-Paste Augmentation for Instance Segmentation
6
Qdrant Vertical Scaling
Guides vertical scaling decisions for Qdrant vector databases, covering when to scale up, how to resize nodes in Qdrant Cloud or self-hosted deployments, RAM sizing formulas, and when to switch to horizontal scaling.
36.2k
Qdrant Tenant Scaling
Guides scaling Qdrant for multi-tenant workloads using payload partitioning, custom sharding, and tiered multitenancy.
36.2k
Qdrant Scaling
Guides scaling decisions for Qdrant vector databases based on data volume, query throughput, latency, or query volume.
36.2k
Qdrant Scaling Qps
Guides scaling Qdrant query throughput (QPS) through performance tuning, horizontal scaling with read replicas, and disk I/O optimization.
36.2k
Issue Fields Migration
Bulk-migrate repo labels and Project V2 fields into GitHub org-level issue fields (single select, text, number, date).
36.2k · bundle
Nosql Expert
Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
6
System Design
Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues.
1.6k · bundle
Oh My Issues
Clusters a GitHub issue backlog by root cause into plan-master issues, redirects children with a standardized comment, and bundles architectural-fix PRs that close clusters atomically.
Scaling Vision With Sparse Mixture Of Experts Arxiv 2106 059
Scaling Vision with Sparse Mixture of Experts
6
Scaling Instruction Finetuned Language Models Arxiv 2210 114
Scaling Instruction-Finetuned Language Models
6
Scaling Data Constrained Language Models Arxiv 2305 16264v3
Scaling Data-Constrained Language Models
6
Re Specialize
Re-scans a project and updates only auto-generated zones in CLAUDE.md and agent files, preserving user customizations.
4
Scaling Laws For Neural Language Models Arxiv 2001 08361v1
Scaling Laws for Neural Language Models
6
Context Optimization
Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.
16.9k · bundle
Data Centric Artificial Intelligence A Survey Arxiv 2303 101
Data-Centric Artificial Intelligence: A Survey
6
Cs Escalation
Package a customer escalation for engineering, product, or leadership as a decision-ready handoff — impact, timeline, facts vs. hypotheses, and a specific ask with an owner.
0
Big Data
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
7 · bundle
Cluster Instructions
Detect which HPC cluster you are on and load the correct job submission instructions. Use when the user asks to submit, run, or schedule a job, or when you need to know which cluster environment you are in.
1 · bundle
Design Type Scale
Type Scale
18 · bundle
Autoscaling Strategies
Every autoscaling decision is driven by one of three trigger types, and mature
2
Uncloud
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
0 · bundle