beam
infracost
Our great sponsors
beam | infracost | |
---|---|---|
30 | 85 | |
7,508 | 10,239 | |
1.5% | 1.4% | |
10.0 | 9.7 | |
3 days ago | 6 days ago | |
Java | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
beam
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Ask HN: Does (or why does) anyone use MapReduce anymore?
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/97814.... It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.).
As for the framework called MapReduce, it isn't used much, but its descendant https://beam.apache.org very much is. Nowadays people often use "map reduce" as a shorthand for whatever batch processing system they're building on top of.
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beam VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How do Streaming Aggregation Pipelines work?
Apache Beam is one of many tools that you can use
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Releasing Temporian, a Python library for processing temporal data, built together with Google
Flexible runtime âïž: Temporian programs can run seamlessly in-process in Python, on large datasets using Apache Beam.
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Kafka cluster loses or duplicates messages
To perform the tests I'm using a Kafka cluster on Kubernetes from the Beam repo (here).
- Apache Beam
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Real Time Data Infra Stack
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow
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Google Cloud Reference
Apache Beam: Batch/streaming data processing đLink
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Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all.
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Pub/Sub parallel processing best practices
That being said, there is a learning curve in understanding how Apache Beam works. Take a look at the beam website for more information.
infracost
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Top Terraform Tools to Know in 2024
âInfracost is a cost estimation tool that generates cost estimates for Terraform projects, which is crucial for budget planning and cost optimization, especially in cloud environments where resource costs can vary significantly.
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Top 10 terraform tools you should know about.
Infracost is a tool that provides cloud cost estimates for infrastructure managed by Terraform. It enables engineers to view and understand the financial impact of their infrastructure changes before they are applied. Infracost integrates directly into the workflow, offering cost breakdowns in various environments like the terminal, Visual Studio Code, or directly within pull requests. This feature allows for more informed decision-making regarding infrastructure modifications, promoting cost-awareness and budget management in the early stages of development. Infracost is particularly useful for teams looking to balance cloud resource utilization with budget constraints. Infracost Cloud is their SaaS product that builds on top of Infracost open source and works with CI/CD integrations. It gives team leads, managers and FinOps practitioners dashboards, guardrails, centralized cost policies and Jira integration so they can help guide the team (e.g. switch AWS GP2 volumes to GP3).
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HashiCorp Adopts Business Source License
Inevitable end for every open source company since the free money ended. What bothers me is that wording is vague enough.
> HashiCorp considers a competitive offering to be a product or service provided to users or customers outside of your organization that has significant overlap with the capabilities of HashiCorpâs commercial products or services.
So, consider there is no cost estimate service and you built a thing that got popular (https://github.com/infracost/infracost). Then after 2 years Terraform Cloud catches up. What happens? Are you out of business?
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Carbonifer: estimate carbon footprint Terraform projects
I've started to work on Carbonifer, a tool that can estimate carbon emissions before deploying an infrastructure. A bit like infracost, this reads Terraform files and estimates carbon emissions if this plan is applied.
- Monitoring infra cost: which tool do you use?
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Taming Cloud Costs with Infracost
Infracost is an open-source project that helps us understand how and where weâre spending our money. It gives a detailed breakdown of actual infrastructure costs and calculates how changes impact them. Basically, Infracost is a git diff for billing.
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Breve guia de sobrevivĂȘncia com Terraform
Infracost: Estimativas de custos nos Pull Requests.
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tfautomv v0.5 released
There is some discussion on the infracost issue tracker where it looks like this specific error is more common with tgenv
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List of most useful Terraform open-source tools
Cost:Infracost (estimation): https://github.com/infracost/infracostTerratag (tagging): https://github.com/env0/terratag (disclaimer, I am CEO at env0)
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How can i estimate the cost of the cloud infrastructure needed for an application
I use https://infracost.io đ€
What are some alternatives?
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
terraform-cost-estimation - Anonymized, secure, and free Terraform cost estimation based on Terraform plan (0.12+) or Terraform state (any version)
Apache Hadoop - Apache Hadoop
terracost-cli - AWS cost estimation for Terraform projects
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
infracost-gitlab-ci
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
bicep - Bicep is a declarative language for describing and deploying Azure resources
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
aws-nuke - Nuke a whole AWS account and delete all its resources.
Apache Hive - Apache Hive
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.