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Auth0のアクセストークンをLocal Storageに保存するのは安全？メリット・デメリットをin-memory方式と比較して検討する - Flatt Security Blog
※追記: 本記事の続編としてin-memory方式からアクセストークンを奪取するPoCを下記記事で公開しました。ぜひあわせてご覧ください。 はじめに こんにちは。 セキュリティエンジニアの@okazu-dm です。 この記事では、Auth0のSPA SDKでアクセストークンのキャッシュを有効化する際の考慮ポイントについて紹介し、それを切り口にアクセストークンの保存場所に関してin-memory方式とlocalStorage方式の2つについて解説します。 Auth0のようなIDaaSは昨今かなり普及が進んでいると思いますが、Flatt Securityの提供するセキュリティ診断はAuth0に限らずFirebase AuthenticationやAmazon CognitoなどのIDaaSのセキュアな利用まで観点に含めて専門家がチェックすることが可能です。 ご興味のある方は是非IDaaS利用部
Introducing Amazon MemoryDB for Redis – A Redis-Compatible, Durable, In-Memory Database Service | Amazon Web Services
AWS News Blog Introducing Amazon MemoryDB for Redis – A Redis-Compatible, Durable, In-Memory Database Service Interactive applications need to process requests and respond very quickly, and this requirement extends to all the components of their architecture. That is even more important when you adopt microservices and your architecture is composed of many small independent services that communica
Redis® with wings.Dragonfly is a simple, performant, and cost-efficient in-memory data store. Dragonfly is fully compatible with Redis APIs but without the Redis management complexity.
Joining CSV and JSON data with an in-memory SQLite database
19th June 2021 The new sqlite-utils memory command can import CSV and JSON data directly into an in-memory SQLite database, combine and query it using SQL and output the results as CSV, JSON or various other formats of plain text tables. sqlite-utils memory The new feature is part of sqlite-utils 3.10, which I released this morning. You can install it using brew install sqlite-utils or pip install
GitHub - aws/aws-secretsmanager-agent: The AWS Secrets Manager Agent is a local HTTP service that you can install and use in your compute environments to read secrets from Secrets Manager and cache them in memory.
The AWS Secrets Manager Agent is a client-side HTTP service that you can use to standardize consumption of secrets from Secrets Manager across environments such as AWS Lambda, Amazon Elastic Container Service, Amazon Elastic Kubernetes Service, and Amazon Elastic Compute Cloud. The Secrets Manager Agent can retrieve and cache secrets in memory so that your applications can consume secrets directly
GitHub - knrt10/gRPC-cache: In memory Key/Value store in go using gRPC.
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GitHub - small-tech/jsdb: A transparent, in-memory, streaming write-on-update JavaScript database for Small Web applications that persists to a JavaScript transaction log.
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GitHub - stackframe-projects/pgmock: In-memory Postgres for unit/E2E tests
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GitHub - proullon/ramsql: In-memory SQL engine in Go sql/driver for testing purpose
RamSQL has been written to be used in your project's test suite. Unit testing in Go is simple, create a foo_test.go import testing and run go test ./.... But then there is SQL queries, constraints, CRUD...and suddenly you need a PostgresSQL, setup scripts and nothing is easy anymore. The idea is to avoid setup, DBMS installation and credentials management as long as possible. A unique engine is ti
GitHub - stuxnet999/MemLabs: Educational, CTF-styled labs for individuals interested in Memory Forensics
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When your data doesn’t fit in memory: the basic techniques
When your data doesn’t fit in memory: the basic techniques by Itamar Turner-Trauring Last updated 06 Jan 2023, originally created 08 Nov 2019 You’re writing software that processes data, and it works fine when you test it on a small sample file. But when you load the real data, your program crashes. The problem is that you don’t have enough memory—if you have 16GB of RAM, you can’t load a 100GB fi
GitHub - jakekgrog/GhostDB: GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
GhostDB stemmed from a University project. Due to the nature of these projects (time constraints etc.), we feel some corners were cut. For example, we opted for the memcached model of distribution to save on time as it was easier to implement. However, this wasn't the original vision of GhostDB. Myself and Connor also started new jobs and these took up a good chunk of our time. This combined with
GitHub - azu/kvs: Lightweight key-value storage library for Browser, Node.js, and In-Memory.
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GitHub - typesense/typesense: Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Typesense is a fast, typo-tolerant search engine for building delightful search experiences. An Open Source Algolia Alternative & An Easier-to-Use ElasticSearch Alternative Website | Documentation | Roadmap | Slack Community | Community Threads | Twitter ✨ Here are a couple of live demos that show Typesense in action on large datasets: Search a 32M songs dataset from MusicBrainz: songs-search.type
Download Zip file from S3 and unzip it in memory with Go | DevelopersIO
Zip Archive Golang's zip module alows to unzip archives and process files in it. The most common way is to use zip.OpenReader that requires us to have a file on the disk and unzip it into the disk. https://golang.org/pkg/archive/zip/#OpenReader func OpenReader(name string) (*ReadCloser, error) Zip module also provides NewReader that takes an object that satisfies ReaderAt interface and size of the
GitHub - HeyPuter/kv.js: ⚡️ Advanced in-memory caching for JavaScript.
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GitHub - oguimbal/pg-mem: An in memory postgres DB instance for your unit tests
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GitHub - sysgears/webpack-virtual-modules: Webpack Virtual Modules is a webpack plugin that lets you create, modify, and delete in-memory files in a way that webpack treats them as if they were physically presented in the file system.
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GitHub - kelindar/column: High-performance, columnar, in-memory store with bitmap indexing in Go
Optimized, cache-friendly columnar data layout that minimizes cache-misses. Optimized for zero heap allocation during querying (see benchmarks below). Optimized batch updates/deletes, an update during a transaction takes around 12ns. Support for SIMD-enabled aggregate functions such as "sum", "avg", "min" and "max". Support for SIMD-enabled filtering (i.e. "where" clause) by leveraging bitmap inde
AWS makes its own Arm CPUs the default for ElastiCache in-memory data store service
Amazon Web Services has made its home-brewed Arm-powered Graviton2 processors the default for its ElastiCache service. ElastiCache is AWS’s in-memory-data-store-as-a-service and lets users create Redis or memcached implementations in the Amazonian cloud. AWS got all excited about ElastiCache on Graviton2 back in December 2019, when it said it had benchmarked Memcached-on-Arm and found 43 percent b
GitHub - vmihailenco/taskq: Golang asynchronous task/job queue with Redis, SQS, IronMQ, and in-memory backends
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GitHub - Cysharp/MessagePipe: High performance in-memory/distributed messaging pipeline for .NET and Unity.
MessagePipe is a high-performance in-memory/distributed messaging pipeline for .NET and Unity. It supports all cases of Pub/Sub usage, mediator pattern for CQRS, EventAggregator of Prism(V-VM decoupling), IPC(Interprocess Communication)-RPC, etc. Dependency-injection first Filter pipeline better event sync/async keyed/keyless buffered/bufferless singleton/scoped broadcast/response(+many) in-memory
In memory of 「ウルトラマンＺ」第25話『遥かに輝く戦士たち』 - 晴れたり、曇ったり。
こんばんわ 本日も20時に更新できました。たまきです。 日曜日はウルトラマンZです。 （目次） 第25話『遥かに輝く戦士たち』 ストーリー 感想 夏川遥輝 ウルトラマンゼット 蛇倉正太 吹原幸太 ウルトラギャラクシーファイト 大いなる陰謀 闇の営業 関連 第25話『遥かに輝く戦士たち』 www.youtube.com ストーリー 強敵デストルドスの猛攻で深刻なダメージを負ったハルキとウルトラマンゼット。 一方ストレイジは、敵の手に落ちたヨウコの救出のために決死の総力戦に挑む！ ゼットとハルキ、そしてストレイジの戦いがついにクライマックス！ 感動のフィナーレを見逃すな！ m-78.jp 感想 ヨウコ救出とデストルドス壊滅作戦は、 人間の力とウルトラマンの力が結束した形になりました。 夏川遥輝 深刻なダメージを受けてしまいウルトラマンゼットに変身することが危険なため、 ヘビクラ隊長とストレイジ
Monarch: Google's Planet-Scale In-Memory Time Series Database
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
GitHub - blackberry/pe_tree: Python module for viewing Portable Executable (PE) files in a tree-view using pefile and PyQt5. Can also be used with IDA Pro and Rekall to dump in-memory PE files and reconstruct imports.
Standalone application with plugins for: IDA Pro Ghidra Volatility Rekall Minidumps Carving Supports Windows, Linux and Mac Parsing PE files and memory images from: File-system ZIP archives (including password protected) Windows memory dumps (raw, EWF, vmem etc.) Live Windows memory (using rekall) Windows Minidump IDA Pro database Ghidra database Binary file carving Rainbow PE map: Provides a high
The Ruby community has lost a giant. As a programmer, I always feel as if I’m standing on the shoulders of giants. Chris Seaton was one of those giants. I’ve been working at the same company as Chris for the past 2 years. However, I first met him through the open source world many years ago. He was working on a Ruby implementation called TruffleRuby, and got his PhD in Ruby. Can you believe that?
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Dragonfly - The Fastest In-Memory Data Store
Monarch: Google’s Planet-Scale In-Memory Time Series Database
In Memory of a Giant | Tenderlove Making
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