esp-v2
nodejs-bigquery
esp-v2 | nodejs-bigquery | |
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7 | 43 | |
260 | 457 | |
0.8% | 0.9% | |
7.3 | 8.0 | |
3 days ago | 1 day ago | |
Go | TypeScript | |
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.
esp-v2
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Serverless Security Best Practices
Moreover, integrating rate limiting can thwart DDoS attacks, and schema validation can prevent malformed requests, ensuring only legitimate and well-formed traffic reaches your serverless functions. Tools like Amazon API Gateway, Azure API Management, and Google Cloud Endpoints offer these capabilities, allowing you to set up custom authorization workflows and request validation rules that align with your security requirements.
- GCP ESP JWT authentication bypass via `X-HTTP-Method-Override` header
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API Gateway VS API Endpoints VS Apigee
AFAIK, API Gateway is just managed Cloud Endpoints, which are just ESPv2 containers. Cloud Endpoints are still a thing but I would agree that they are a bit dead, as they don't support OpenAPI v3, which was released in 2016. See this support ticket from 2018: https://issuetracker.google.com/issues/78271318?pli=1
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Google Cloud Reference
Cloud Endpoints: Cloud API gateway 🔗Link
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Any grpc tutorial or github repo that contains best practices to develop production services.
We use the ESPv2 gateway (https://github.com/GoogleCloudPlatform/esp-v2) to transcode between REST/JSON and gRPC/protobuf for client-to-backend communication.
nodejs-bigquery
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Wrangling BigQuery at Reddit
If you've ever wondered what it's like to manage a BigQuery instance at Reddit scale, know that it's exactly like smaller systems just with much, much bigger numbers in the logs. Database management fundamentals are eerily similar regardless of scale or platform; BigQuery handles just about anything we throw at it, and we do indeed throw it the whole book. Our BigQuery platform is more than 100 petabytes of data that supports data science, machine learning, and analytics workloads that drive experiments, analytics, advertising, revenue, safety, and more. As Reddit grew, so did the workload velocity and complexity within BigQuery and thus the need for more elegant and fine-tuned workload management.
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Building a dev.to analytics dashboard using OpenSearch
Now I know I've got some data I could use, I now need to find a platform that I can use to analyse the data coming from the Forem API. I did consider some other pieces of software, such as Google BigQuery (with looker studio) and ElasticSearch (with Kibana), I ultimately went with OpenSearch which is essentially a forked version of ElasticSearch maintained by AWS. The main reasons are that I could host it locally for free (unlike BigQuery). I do have some prior experience with both elastic (back when it was called ELK) and OpenSearch, but my work with OpenSearch was far more recent, so I decided to go with that.
- Como evitar SQL Injection utilizando client do BigQuery
- Learning Excel. Is there a resource for fake data sets like retail and wholesale inventories and sales histories etc for testing and practice?
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How to Totally Fubar Your Cloud Infrastructure Costs
First, in one of our recent projects, we helped our client to run the cloud-based infrastructure of their entirely automated, real-time SEO platform. The solution rested in the safe familiarity of Google’s popular cloud-based data centres (i.e. Google Cloud Platform), whilst also making use of BigQuery — a serverless, multi-cloud data warehouse.
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Data Analytics at Potloc I: Making data integrity your priority with Elementary & Meltano
Bigquery as our data warehouse
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I've tried really hard but need some help please. Bigquery not returning data after 2019.
This post in github thinks it may be an error in bigquery's backend.
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Deploying a Data Warehouse with Pulumi and Amazon Redshift
A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of data-warehouse products include Snowflake, Google BigQuery, Azure Synapse Analytics, and Amazon Redshift — all of which, incidentally, are easily managed with Pulumi.
- [Question] Which GCP tool should I use to build a Business decisional dashboard?
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Designing a Video Streaming Platform 📹
Google BigQuery
What are some alternatives?
goku_lite - A Powerful HTTP API Gateway in pure golang!Goku API Gateway (中文名:悟空 API 网关)是一个基于 Golang开发的微服务网关,能够实现高性能 HTTP API 转发、服务编排、多租户管理、API 访问权限控制等目的,拥有强大的自定义插件系统可以自行扩展,并且提供友好的图形化配置界面,能够快速帮助企业进行 API 服务治理、提高 API 服务的稳定性和安全性。
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
grpcstreams - An example of using grpc Server side streaming
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
iam-go - An opinionated Open Source implementation of the google.iam APIs on top of Cloud Spanner.
dagster - An orchestration platform for the development, production, and observation of data assets.
protoc-gen-typescript-http - Generate types and service clients from protobuf definitions annotated with http rules.
rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.
aip-go - Go SDK for implementing resource-oriented gRPC APIs.
dbt - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core]
social - social network in GRPC, Go, mysql, and vuejs,
streamlit - Streamlit — A faster way to build and share data apps.