hop
vector
hop | vector | |
---|---|---|
13 | 97 | |
858 | 16,561 | |
2.1% | 1.8% | |
9.2 | 9.9 | |
7 days ago | 4 days ago | |
Java | Rust | |
Apache License 2.0 | Mozilla Public License 2.0 |
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hop
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Loading data
If you're looking for a visual and more intuitive way to load data to Neo4j, you might want to have a look at Apache Hop. Hop comes with tons of functionality to load data to Neo4j.
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How to automate cypher query?
Apache Hop is a great open source orchestration platform with excellent native Neo4j support.
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Does anyone use a no-code data transformation tool?
Have you checked out Apache Hop? https://hop.apache.org/ It is a very powerful no-code open source ETL tool.
- Hop – The easiest way to deploy your code
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Kafka ETL tool, is there any?
Apache Hop https://hop.apache.org/
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What are the Possible Oracle database to Salesforce Integration solutions
You could look into Apache Hop. Open source with Salesforce connectors. Powerful free option for reverse ETL. https://hop.apache.org/
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[Q] Knowledge Graph - Populating the GraphDB from scratch.
I would get familiar with an ETL tool. Apache Hop is excellent, opensource, and has native support for neo4j. It will make your imports easier to see the "flow" - also easier to share/collaborate with others. It also gives you support to use several methods (direct from RDBMS, from CSV, or running code like your python example) all from within the same workflows/pipelines, so you can use the best method/tool for a particular part of your process.
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Replace RDBMS with neo4j
I used Apache HOP as an ETL to integrate the ERP data from RangerMSP into a Neo4j knowledgegraph. Then connected the ERP data to our other vendors data using their web APIs (Office365/sharepoint/teams), backups, infrastructure monitoring/alerting to create other workflows that performed automations and validations of our service delivery. The reporting is so so much easier, faster, and more contextual since relationships are created as the data is built/modified, rather then when queried as in an RDBMS.
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Apache Hop few questions about starting up
I'm a pentaho pdi user that wants to give a try to Apache Hop. I've started the gui and learned a bit how to import from pdi, create a new workflow/pipeline, made some test. Now I've to move on but reading the docs at https://hop.apache.org/ I can't find informations I need:
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is there a software to use spark without carry about coding using it's apis
You can try Apache Hop
vector
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What is a low/reasonable cost solution for service log storage and querying?
I am thinking about using https://vector.dev/ but would also love opinions on the best deal for lower or reasonable cost storage/querying of logs. Thanks!
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
job "vector" { datacenters = ["dc1"] # system job, runs on all nodes type = "system" group "vector" { count = 1 network { port "api" { to = 8686 } } ephemeral_disk { size = 500 sticky = true } task "vector" { driver = "docker" config { image = "timberio/vector:0.30.0-debian" ports = ["api"] volumes = ["/var/run/docker.sock:/var/run/docker.sock"] } env { VECTOR_CONFIG = "local/vector.toml" VECTOR_REQUIRE_HEALTHY = "false" } resources { cpu = 100 # 100 MHz memory = 100 # 100MB } # template with Vector's configuration template { destination = "local/vector.toml" change_mode = "signal" change_signal = "SIGHUP" # overriding the delimiters to [[ ]] to avoid conflicts with Vector's native templating, which also uses {{ }} left_delimiter = "[[" right_delimiter = "]]" data=<
- FLaNK AI Weekly 18 March 2024
- Vector: A high-performance observability data pipeline
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Hacks to reduce cloud spend
we are doing something similar with OTEL but we are looking at using https://vector.dev/
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About reading logs
We don't pull logs, we forward logs to a centralized logging service.
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Self hosted log paraer
opensearch - amazon fork of Elasticsearch https://opensearch.org/docs/latestif you do this an have distributed log sources you'd use logstash for, bin off logstash and use vector (https://vector.dev/) its better out of the box for SaaS stuff.
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creating a centralize syslog server with elastic search
I have done something similar in the past: you can send the logs through a centralized syslog servers (I suggest syslog-ng) and from there ingest into ELK. For parsing I am advice to use something like Vector, is a lot more faster than logstash. When you have your logs ingested correctly, you can create your own dashboard in Kibana. If this fit your requirements, no need to install nginx (unless you want to use as reverse proxy for Kibana), php and mysql.
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Show HN: Homelab Monitoring Setup with Grafana
I think there's nothing currently that combines both logging and metrics into one easy package and visualizes it, but it's also something I would love to have.
Vector[1] would work as the agent, being able to collect both logs and metrics. But the issue would then be storing it. I'm assuming the Elastic Stack might now be able to do both, but it's just to heavy to deal with in a small setup.
A couple of months ago I took a brief look at that when setting up logging for my own homelab (https://pv.wtf/posts/logging-and-the-homelab). Mostly looking at the memory usage to fit it on my synology. Quickwit[2] and Log-Store[3] both come with built in web interfaces that reduce the need for grafana, but neither of them do metrics.
- [1] https://vector.dev
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Retaining Logs generated by service running in pod.
Log to stdout/stderr and collect your logs with a tool like vector (vector.dev) and send it to something like Grafana Loki.
What are some alternatives?
Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
graylog - Free and open log management
vanus - Vanus is a Serverless, event streaming system with processing capabilities. It easily connects SaaS, Cloud Services, and Databases to help users build next-gen Event-driven Applications.
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
Apache Hive - Apache Hive
agent - Vendor-neutral programmable observability pipelines.
Smooks - Extensible data integration Java framework for building XML and non-XML fragment-based applications
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
tarindexer - python module for indexing tar files for fast access
OpenSearch - 🔎 Open source distributed and RESTful search engine.
Faust - Python Stream Processing
tracing - Application level tracing for Rust.