dive
dgraph
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dive | dgraph | |
---|---|---|
88 | 34 | |
43,083 | 20,005 | |
- | 0.6% | |
7.0 | 8.8 | |
8 days ago | 1 day ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dive
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I reduced the size of my Docker image by 40% – Dockerizing shell scripts
Dive is a great tool for debugging this. I like image reduction work just because it gives me a chance to play with Dive: https://github.com/wagoodman/dive
One easy low hanging fruit I see a LOT for ballooning image sizes is people including the kitchen sink SDK/CLI for their cloud provider (like AWS or GCP), when they really only need 1/100 of that. The full versions of both of these tools are several hundred mb each
- Dive: A tool for exploring a Docker image, layer contents and more
- FLaNK Stack Weekly for 12 September 2023
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Top 10 CLI Tools for DevOps Teams
Whether you work with Docker regularly or even create your own Docker containers, Dive is a great tool for streamlining image sizes, potentially helping you save storage costs and speed up deployments.
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Any Way To See The Dockerfile Used To Make An Image On Dockerhub?
If you’re happy to pull the image, then sort of yes. You can either use docker inspect or a tool like dive (https://github.com/wagoodman/dive) to see how each layer was created. This will give you an idea of the Dockerfile.
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Issues reducing Docker image size when using Gdal and Pycurl with a multistage build?
Also, check out dive. It is an amazing tool for examining containers and find your size issues.
Did you try using dive ? It allows you to see each layer, so you can see the files that are added
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Tips for reducing Docker image size
I like this tool: https://github.com/wagoodman/dive
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Nix Service - Using the shipyard private crate registry with Docker
Also do I get shiny flair for https://github.com/wagoodman/dive/pull/443? Perhaps "Void shouter"?
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Docker image size problems. This is driving me insane.
This tool is really useful for showing the size of each layer, making it obvious which layer is blowing up your image size: https://github.com/wagoodman/dive
dgraph
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How to choose the right type of database
Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.
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Database Review: Top Five Missing Features from Database APIs
Dgraph (GraphQL, DQL)
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Getting Started with Serverless Edge - Exploring the Options
DGraph – A distributed GraphQL database with a graph backend.
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Fluree DB - A datomic like database that I just discovered
How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?
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GKE with Consul Service Mesh
Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes worker nodes were required.
- Show HN: We have built a benchmark platform for graph databases
- What's the big deal about key-value databases like FoundationDB ands RocksDB?
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Open Source Databases in Go
dgraph - Scalable, Distributed, Low Latency, High Throughput Graph Database.
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Voice assistant that can be taught how to swear (Part 2)
Now let’s talk about saving questions and answers. The Trie data structure is a great fit for quickly identifying if a question exists in the database and then finding its answer. To store tree nodes and links between them, I used the graph database Dgraph. For this project, I created a free cloud repository on dgraph.io. A TrieNode looks like this:
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Firebase is Dead: What is the Perfect Database in 2022?
4. Dgraph
What are some alternatives?
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
spicedb - Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
skopeo - Work with remote images registries - retrieving information, images, signing content
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
go-mysql - a powerful mysql toolset with Go
go-raw-postgresql-builder - Create raw sql from structs without ORM
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
lnav - Log file navigator
jaeger - CNCF Jaeger, a Distributed Tracing Platform