投稿時間:2023-07-03 08:19:17 RSSフィード2023-07-03 08:00 分まとめ(23件)

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IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 1本100万円も！　「熟成日本酒」が海外で高い評価	https://www.itmedia.co.jp/business/articles/2307/03/news078.html	itmedia	2023-07-03 07:30:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 「全員とりあえず出社」に社員が大反発　コロナ以降の働き方は、どう決めていくべき？	https://www.itmedia.co.jp/business/articles/2307/03/news011.html	itmedia	2023-07-03 07:30:00
IT	ITmedia 総合記事一覧	[ITmedia エンタープライズ] 月額900ドルでマルウェア使い放題　MaaSの知られざる実態が判明	https://www.itmedia.co.jp/enterprise/articles/2307/03/news047.html	itmedia	2023-07-03 07:30:00
IT	ITmedia 総合記事一覧	[ITmedia エグゼクティブ] 「ITmedia エグゼクティブ eマガジン 2023夏」（PDF）の提供開始	https://mag.executive.itmedia.co.jp/executive/articles/2307/03/news017.html	itmedia	2023-07-03 07:08:00
python	Pythonタグが付けられた新着投稿 - Qiita	VoicyやYoutubeのリンクを入力して、OpenAI APIを使用して内容を要約するアプリを作ってみよう！	https://qiita.com/cardene/items/9415a1fbf7274b411ce6	cardene	2023-07-03 07:08:31
golang	Goタグが付けられた新着投稿 - Qiita	ChatGPTめっちゃ痩せたいです	https://qiita.com/ervitis/items/4432a32ca4770c89ac35	chatgpt	2023-07-03 07:58:04
海外TECH	DEV Community	Exploring Amazon Elasticache to Accelerate Application Speed and Scalability	https://dev.to/brandondamue/exploring-amazon-elasticache-to-accelerate-application-speed-and-scalability-1m6g	Exploring Amazon Elasticache to Accelerate Application Speed and ScalabilityPicture this you launch an application that promises exceptional functionality a sleek user interface and groundbreaking features You eagerly anticipate a surge of users ready to embrace your creativity But alas your excitement is dampened by sluggish response times and a dissatisfying user experience What went wrong More often than not inadequate application performance lies at the heart of such disappointments Fortunately a saviour exists in the realm of cloud computing on AWS ーAmazon Elasticache Through the intelligent use of caching and advanced data management Elasticache empowers developers to supercharge their applications delivering lightning fast speeds and unparalleled scalability In this article we are delving deep into the world of Elasticache to unveil its transformative powers in boosting application performance We will start by having a brief overview of Elasticache We will then move on to Elasticache caching strategies and some considerations and limitations to keep in mind when choosing a caching strategy all the way down to monitoring and performance optimization Brace yourself for an enlightening exploration of all that Elasticache brings to the table Elasticache OverviewBefore going forward to have an overview of what Elasticache is about Wouldn t it be nice if we had a brief rundown of what caching is first So here you go I ll try to keep it short Caching is the act of storing frequently accessed data in a temporary storage area It enhances application performance by reducing the time and resources needed to retrieve data By accessing data from a cache instead of the original data source applications can achieve faster response times and improved overall speed Caching mitigates network latency and reduces the load on backend systems resulting in enhanced scalability and a better user experience Now unto Elasticache It is a fully managed highly scalable in memory caching web service designed to enhance the performance and scalability of applications by reducing the burden on backend databases and improving response times It is fundamentally an in memory data store that sits between your application and the database that it accesses ElastiCache makes it easy to deploy and run Memcached or Redis cache nodes in the cloud Its primary purpose is to remove the load on databases by caching frequently accessed data in memory By doing this Elasticache enables applications to retrieve information quickly resulting in reduced latency and better performance This feature is highly important to applications that require fast response times or handle high volumes of read intensive workloads Caching StrategiesElasticache offers many strategies and techniques to optimize application performance through caching These strategies revolve around cache configuration data retrieval and cache management The choice of strategy for populating and maintaining your cache depends on the data you cache and the access patterns to that data Let s explore these caching strategies Lazy LoadingWith this caching strategy data is loaded into the cache only when necessary i e when it is requested This is how it works Whenever your application requests data it first checks the Elasticache cache for the requested data If the data exists in the cache cache hit and is current it is quickly returned to the application If the requested data is not found in the cache cache miss or has expired the application initiates the lazy loading process i e it triggers a request to the backend data source to fetch the required data The backend data source retrieves the data and returns it to the application Upon receiving the data from the backend source the application updates the cache by keeping the fetched data to serve future requests Subsequent requests for the same data can then be served from the cache cache hits without the need for fetching from the backend source One of the core advantages of this caching strategy is that only requested data is cached Because most data is never requested lazy loading avoids filling up the cache with data that isn t requested A downside to lazy loading is having stale data in the cache since data is cached only in the event of a cache miss Below is a pseudocode example of lazy loading logic cache Map lt Key Value gt function getData key Key gt Value if cache contains key return cache key Cache hit else value fetchDataFromBackend key Lazy loading cache key value Store in cache for future access return valuefunction fetchDataFromBackend key Key gt Value Code to retrieve data from the backend data source and return the fetched value Write ThroughWith the write through caching strategy both the cache and the underlying data source are updated simultaneously when data is written or modified In this strategy when a write operation occurs the data is first written to the cache and then propagated to the backend data source This ensures that both the cache and the data source remain consistent Some of the advantages of write through are as follows Data in the cache is never stale Because the data in the cache is updated every time it s written to the database the data in the cache is always current It is easy to integrate this strategy with existing data sources and it requires minimal modifications to application code As with almost everything in life there are still some downsides to using this caching strategy some of which include It may introduce additional latency compared to other caching strategies Since write operations involve updating both the cache and the backend data source simultaneously the overall response time of write operations can be slightly longer In the event of a cache failure or restart there is a possibility of data inconsistencies if the write operations are not synchronized properly between the cache and the data source Since most data is never read using the write through strategy may result in a waste of resources Cache Eviction and Time to live TTL Cache eviction refers to removing or evicting data from a cache when the cache reaches its capacity limit In ElastiCache there are several cache eviction policies that you can make use of to determine which data should be evicted from the cache when it is full The eviction policies include Least Recently Used LRU ーThis policy evicts the least recently used items from the cache when the cache reaches its capacity The idea is that the items that have not been accessed recently are less likely to be accessed soon Least Frequently Used LFU ーWith this policy items that have been accessed the least number of times are evicted from the cache when the capacity is exceeded It assumes that items with fewer access counts are less likely to be accessed frequently in the future Least Recently Used with Approximate Count LRU A ーThis policy combines LRU with an approximate access count It evicts items that are both least recently used and have a low approximate access count Random ーThe random eviction policy randomly selects items to evict from the cache when the capacity limit is reached It does not consider the access patterns or frequency of the items In the case of TTL setting one allows you to define the lifespan or expiration time for cached items When you set a TTL for cached data Elasticache automatically evicts the data from the cache after the specified time has elapsed With a TTL you can control how long cached data remains valid After the TTL expires Elasticache automatically removes the data from the cache ensuring that stale or outdated data is not served to applications This helps maintain data freshness and accuracy Setting a TTL equally ensures that only relevant and up to date data is stored in the cache By removing expired data Elasticache makes room for new data improving cache efficiency This allows the cache to effectively utilize its storage capacity and maximize cache hit rates I can t end this section on caching strategies without talking about the important considerations you should keep in mind when implementing caching strategies They include but are not limited to the following Cost Costs should be evaluated considering cache infrastructure expenses like node costs data transfer fees and potential storage fees Cache sizing This is crucial for optimal performance ensuring that frequently accessed data can be stored without excessive evictions or wasted resources Cache invalidation mechanisms should be implemented to maintain data consistency between the cache and the backend It s important to assess these considerations and trade offs based on the specific requirements and characteristics of your application Elasticache Monitoring and Performance OptimizationAmazon ElastiCache provides robust monitoring and logging capabilities to help you gain insights into the performance health and behaviour of your cache clusters These capabilities include integration with Amazon CloudWatch for metrics and event notifications Here s an overview of the monitoring and logging features provided by Elasticache CloudWatch Metrics ーElasticache automatically publishes a rich set of metrics to CloudWatch These metrics cover various aspects of your cache clusters including CPU utilization cache hits and misses network traffic evictions and more You can leverage these metrics to monitor the performance and health of your cache clusters identify bottlenecks and make informed scaling decisions CloudWatch Alarms ーBy making use of CloudWatch Alarms you can set up threshold based alerts on specific metrics This allows you to proactively monitor cache cluster metrics and receive notifications or trigger actions when certain thresholds are breached For instance you can set an alarm to notify you when cache hits fall below a certain threshold or when CPU utilization exceeds a predefined limit Enhanced Monitoring ーElasticache provides enhanced monitoring capabilities that enable more detailed insights into cache clusters By enabling enhanced monitoring you gain access to additional operating system level metrics and Redis specific metrics at a minute interval These metrics provide deeper visibility into the internal workings of your cache clusters and can help troubleshoot performance issues Event Notifications ーElasticache supports event notifications through Amazon Simple Notification Service SNS You can configure event notifications to be triggered when specific events occur such as cache cluster creation deletion or modification scaling events failover events or node level events These notifications can be sent to various target endpoints allowing you to stay informed about important events related to your cache clusters Audit Logs ーFor Redis clusters Elasticache provides the capability to capture audit logs Audit logs record various Redis commands and administrative actions such as data modifications configuration changes and security related events These logs can be valuable for compliance troubleshooting and security analysis purposes To proactively identify and resolve performance bottlenecks when it comes to ElastiCache leverage these monitoring and logging features Set up CloudWatch Alarms to receive alerts on key metrics such as cache hits CPU utilization and network traffic Monitor cache hits and misses analyze CPU utilization and track network traffic to identify potential bottlenecks Enable slow log capture for analyzing slow performing queries Stay informed about cluster events through event notifications and review audit logs for compliance and security analysis By combining these practices with Elasticache s monitoring and logging capabilities you can take proactive measures to optimize performance and address bottlenecks promptly As an aside for this article and because I forgot to include it in my writing plan various subtle and profound differences exist between Elasticache for Redis and Elasticache for Memcached However I won t go into that in this article but I recommend that you check out this article by AWS to learn more about those differences Final ThoughtsTo conclude Amazon ElastiCache serves as a powerful tool for enhancing application performance through its robust caching capabilities By strategically leveraging ElastiCache developers can significantly reduce the load on their backend systems improve response times and deliver a seamless user experience The various caching strategies and techniques available such as lazy loading write through caching and cache eviction policies offer flexibility in optimizing performance based on specific application requirements However it s important to consider factors like costs cache sizing and trade offs associated with caching strategies With diligent monitoring tuning and adherence to best practices ElastiCache empowers developers to unleash the true potential of their applications Take advantage of the power of ElastiCache and unlock new levels of performance scalability and efficiency for your applications in the AWS ecosystem	2023-07-02 22:41:44
Apple	AppleInsider - Frontpage News	Freewrite Traveler review: portable, distraction free writing	https://appleinsider.com/articles/23/07/02/freewrite-traveler-review-portable-distraction-free-writing?utm_medium=rss	Freewrite Traveler review portable distraction free writingThe Freewrite Traveler is an e ink typewriter that allows distraction free writing making it an ideal tool for professional writers and hobbyists Freewrite TravelerDon t get us wrong ーwe love our iPads MacBook Pros and iPhones However it s impossible to deny that there are times when these multipurpose devices can be more of a distraction than a tool Read more	2023-07-02 22:51:35
海外科学	NYT > Science	The Titan Submersible Passengers’ Final Hours	https://www.nytimes.com/2023/07/02/us/titan-submersible-passengers.html	The Titan Submersible Passengers Final HoursFive voyagers climbed into the Titan submersible in hopes of joining the select few who have seen the wreck of the Titanic up close But within hours their text messages stopped coming	2023-07-02 22:53:18
ニュース	BBC News - Home	Nick Kyrgios: Australian withdraws from Wimbledon 2023 with wrist injury	https://www.bbc.co.uk/sport/tennis/66083104?at_medium=RSS&at_campaign=KARANGA	injury	2023-07-02 22:35:48
ニュース	BBC News - Home	Stephen Lawrence murder: Friend 'could have identified sixth suspect'	https://www.bbc.co.uk/news/uk-66078894?at_medium=RSS&at_campaign=KARANGA	brooks	2023-07-02 22:51:23
ニュース	BBC News - Home	Wimbledon 2023: Brain games and conscious breathing - the secrets of Djokovic’s success	https://www.bbc.co.uk/sport/tennis/66077815?at_medium=RSS&at_campaign=KARANGA	Wimbledon Brain games and conscious breathing the secrets of Djokovic s successNovak Djokovic is famous for his dedication and meticulous preparation but he may let some of his strict routines slip as he tries to defend his Wimbledon title	2023-07-02 22:31:40
ビジネス	ダイヤモンド・オンライン - 新着記事	月曜出社、義務付けは是か非か - WSJ発	https://diamond.jp/articles/-/325514	義務付け	2023-07-03 07:16:00
ビジネス	東洋経済オンライン	今は｢2013年のアベノミクス相場｣と似ている？ 今後も｢ツーリスト投資家｣に振り回されるのか | 市場観測 | 東洋経済オンライン	https://toyokeizai.net/articles/-/683837?utm_source=rss&utm_medium=http&utm_campaign=link_back	日経平均	2023-07-03 07:30:00
ビジネス	プレジデントオンライン	｢女の子だから｣進学させてもらえない妹､行きたくない大学に通う無気力兄…進路を強制されるハズレガチャ - モデルケースで考える｢親が子どもを性別で差別してしまう問題｣	https://president.jp/articles/-/71264	子どもたち	2023-07-03 08:00:00
ビジネス	プレジデントオンライン	｢徹底した守り｣のはずが2期連続の巨額赤字…ソフトバンクG･孫正義社長がそれでも強気でいられるワケ - アリババに続く成長企業を生み出せるのか	https://president.jp/articles/-/71172	定時株主総会	2023-07-03 08:00:00
ビジネス	プレジデントオンライン	｢女の子だから｣進学させてもらえない妹､行きたくない大学に通う無気力兄…進路を強制されるハズレガチャ - モデルケースで考える｢親が子どもを性別で差別してしまう問題｣	https://president.jp/articles/-/71122	子どもたち	2023-07-03 08:00:00
マーケティング	MarkeZine	TikTok、上半期のトレンド大賞を発表　大賞は「オトナブルー」特別賞は「＃賀来賢人」が受賞	http://markezine.jp/article/detail/42668	tiktok	2023-07-03 07:30:00
マーケティング	MarkeZine	大日本印刷、「ブルボンメタバース」のリニューアルを発表　地域と企業のブランディング目指す	http://markezine.jp/article/detail/42660	大日本印刷	2023-07-03 07:15:00
海外TECH	reddit	Shohei Ohtani hits home run #31, a 454ft bomb for the league leader in homers!	https://www.reddit.com/r/baseball/comments/14p0wz0/shohei_ohtani_hits_home_run_31_a_454ft_bomb_for/	Shohei Ohtani hits home run a ft bomb for the league leader in homers submitted by u Blazingbee to r baseball link comments	2023-07-02 22:15:19
ニュース	THE BRIDGE	ChatGPTを自社のセールスマンに変えるーーSELFのChatGPT連携「SELFBOT」について聞いてきた	https://thebridge.jp/2023/07/self_chatgpt_selfbot-mugenlabo-magazine	ChatGPTを自社のセールスマンに変えるーSELFのChatGPT連携「SELFBOT」について聞いてきた本稿はKDDIが運営するサイト「MUGENLABOMagazine」に掲載された記事からの転載SELFは月日、自社開発のコミュニケーションAIとOpenAI社の「ChatGPT」を連携させた相互連携システム「SELFBOT」を開発しました。	2023-07-02 22:30:57
ニュース	THE BRIDGE	次世代コンテンツ制作XORBISが12億円、Web3解析「CryptoQuant」8.5億円調達——韓国スタートアップシーン週間振り返り（6月26日~30日）	https://thebridge.jp/2023/07/startup-recipe-jun-26-jun-30	次世代コンテンツ制作XORBISが億円、Web解析「CryptoQuant」億円調達ー韓国スタートアップシーン週間振り返り月日日月日月日に公開された韓国スタートアップの調達のうち、調達金額を開示したのは件で、資金総額は億ウォン約億円に達した。	2023-07-02 22:15:10
ニュース	THE BRIDGE	ByteDanceがAI「Volcano Ark（火山方舟）」発表、JD（京東）も生成AI参入——中国スタートアップシーン週間振り返り（6月26日~30日）	https://thebridge.jp/2023/07/technode-jun-26-jun-30	ByteDanceがAI「VolcanoArk火山方舟」発表、JD京東も生成AI参入ー中国スタートアップシーン週間振り返り月日日本稿は、Technode動点科技が、月日月日に配信した「NewsFeed」記事の中から主要ニュースを翻訳したものです。	2023-07-02 22:00:42