Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
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Takeaway: S3 is feature-rich and great for complex workflows. Cloud Storage is simpler and faster for global access. Explore S3 documentation. - Source: dev.to / 4 days ago
To address this, the team introduced a conditional frontend build mechanism. Using git diff with the three-dot notation, it detects whether a PR includes frontend changes compared to the main branch. If no changes are detected, the frontend build step is skipped, reusing a prebuilt version stored in AWS S3 and served via an internal Content Delivery Network (CDN). - Source: dev.to / 27 days ago
In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 1 month ago
Iceberg has quietly become the foundation of the modern data lakehouse. More and more engineering teams are adopting it to store and manage analytical data in cloud storage — like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage — while freeing themselves from the limitations of closed systems. - Source: dev.to / about 2 months ago
AWS Lambda is perfect for applications that process images due to its integration with AWS S3, an object storage service. A good example is an e-commerce application that renders images in different sizes. Here are the top features:. - Source: dev.to / 2 months ago
The time he hardcoded a token into the repo? → That’s when we finally added Git hooks and implemented secret scanning. - Source: dev.to / 13 days ago
Pre-commit: A framework for automatically running predefined checks (hooks) before Git commits (official website). pre-commit itself is also installed as a development dependency with uv pip install -e ".[dev,test]". To start using it, run pre-commit install once in the repository root. This sets up the Git hooks, and checks will run automatically on subsequent commits. - Source: dev.to / 21 days ago
Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks, ensuring consistency and quality in your codebase by running checks before a commit is finalized. - Source: dev.to / 4 months ago
Just give you an idea of how to implement a template for serverless in your organization; you can create multiple cases and embed the practice of your organization to the template like pre-commit, cicd, lambda-layer-secret, lambda-layer-powertools and more. - Source: dev.to / 6 months ago
Instead of running these tools manually every time you make changes, you can automate the process with pre-commit hooks. Pre-commit hooks run automatically before each commit, blocking the commit if any tool fails. - Source: dev.to / 7 months ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Python Poetry - Python packaging and dependency manager.
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
EditorConfig - EditorConfig is a file format and collection of text editor plugins for maintaining consistent coding styles between different editors and IDEs.
AWS Lambda - Automatic, event-driven compute service
mypy - Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.