Eiji Kitamura

We have launched Webuzo 4.2.6 and 4.2.7 with a new Admin and Enduser UI, a new File manager UI and several new features like common settings for cron, collapsible left menu, WHMCS integration improvements and several other improvements and bug fixes : https://lnkd.in/dZXQ8M6n https://lnkd.in/dE_c-aGD Many new exciting features will be coming in 4.3.0 as well. So stay tuned. #webuzo #import #litespeed #aws #gdrive #openlitespeed #cloudlinux #controlpanels #backups #webhosting #webdesign #webdevelopment #emailhosting #email #modsecurity #softaculous #virtualizor #sharedhosting #vpshosting #cloudhosting #mysql #php #email #cloud #exim #cpanel #postgresql #dns #log #dns #cluster #imunifyav #reverseproxy #nginx #imunify360 #clamav #webdisk #ptr #cxs #jailshell #soa #calendar #nodejs #python #tomcat #incremental #backuply #boxtrapper #cgroups #varnish #directadmin

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For a complete solution to realtime voice transcription and translation. Explore how to host the Whisper model with streaming mode on Amazon EKS. Check out this blog by Darren Lin, Frank Fan, Bonnie Ng, Shawn Zhang, and Eunice Tsao. The post provides a detailed guide on leveraging Ray Serve to create a scalable, low-latency architecture for real-time audio transcription. This setup ensures efficient model serving with auto-scaling capabilities using Karpenter on Amazon EKS. Dive into the technicalities and streamline your Automatic Speech Recognition applications today! Read more: https://lnkd.in/ghHGUG_P #AWS #EKS #RayServe #MachineLearning #ASR #Containers

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Samsara's latest report highlights how industry leaders are leveraging AI to boost efficiency and safety.  Dive into the full coverage to see how AI is transforming the way we operate:

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Share how Gemini for #GoogleWorkspace enhances collaboration, improves communication, and boosts productivity within organizations

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I’m happy to share that I’ve obtained a new certification: AWS Cloud Quest: Data Analytics from Amazon Web Services (AWS)! In this role, I focused on modern data architecture and AWS analytics services, working on 23 labs that covered scalable data lakes, data warehousing, big data analytics, and business intelligence. One project involved assisting the bank's fraud department in detecting and preventing fraudulent credit card transactions using AWS. I implemented a Lambda function to generate fake transactions stored in S3. The data was structured into CSVs, queried via Athena to identify suspicious activities, and reviewed with the fraud department. This enabled the department to run on-demand queries, obtain results within seconds, and query the data for suspicious transactions as needed. Another project aimed to improve the hospital's process for generating graphical reports for the board using Amazon QuickSight, replacing tedious and time-consuming spreadsheets. AWS Glue and Athena were used for data ETL as well. I generally enjoy the hands on experience and look forward for more. #awscloudquest #dataanalytics #awsdata #businessintelligence

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Cross-Posting from Facebook to my RUS and ENG WordPress Blogs: Technical Details Last night, a spark of inspiration on my evening drive turned into a monumental achievement by the early hours: I successfully migrated 6,000 posts from Facebook to my brand-new Wordpress blog beinginamerica com (RUS) and later translated them to English and published at RaufAliev com. So now I have two blogs, in Russian and English, having the same content as my Facebook (I don’t post anything on Facebook that isn’t meant for others to see, and I don’t write or say anything that I wouldn’t say publicly, so from a privacy perspective, everything is okay. Also, I don’t transfer comments to the posts, only the posts themselves.) This isn’t just about launching another blog; it’s about preserving years of shared memories and insights in a more accessible and enduring format.   I tackled the challenge of exporting and translating a vast archive of content, making it available not only in the original Russian on BeingInAmerica com but now also in English for a global audience. This project was driven by my frustration with social media’s fleeting nature and the limitations in searching tagged posts.   Curious about how I managed to automate the complex process of syncing thousands of posts across languages and platforms? I’ll be sharing the behind-the-scenes story of the tools and technologies that made this possible. https://lnkd.in/dfQ7m229

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Here's how to export a ARRL Field Day Cabrillo log from WSJT-X: https://lnkd.in/gE5HEyVE

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📰 YugabyteDB Moves Beyond PostgreSQL 11 We broke the silence and started a series about the big "merge" the Yugabyte engineering team has been working on. This is the story by engineer Trevor Foucher for engineers. Trevor works on the core team that is in charge of the upgrade to Postgres 15+. Plus, he happens to be a talented writer. What's covered: * Why did Yugabyte decide to fork Postgres? * Why is the database still on Postgres 11? * How is YugabyteDB's architecture similar to and different from Postgres? * Why are we migrating to Postgres 15 and not 16 or 17? * What's coming next this Friday - a live stream with Arpan Agrawal and Karthik Ranganathan about more insights into the project. https://lnkd.in/efFvixPa

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I wrote a few more Custom GPTs (for myself mainly) but if you are thinking about #Observability in #AI these GPTs might be helpful: Langsmith: https://lnkd.in/gYdUfbYq Arize Phoenix: https://lnkd.in/gnsRHNnY #chatgpt #GPTs #CustomGPT

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Guo Liu and his team are on the cutting edge of personalizing AI models. For software engineers keen on exploring #LLM and #Alexa, Guo's work is definitely worth checking out! #AI #ArtificialIntelligence #SoftwareEngineering

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Heyy everybody😃, ☁️ 30 Days Cloud Challenge - Day 28 Today’s poc: Creating a database in Neptune⛅️ 🚀 Excited to Announce: I’ve Created a Database in Amazon Neptune! 🚀 I’m thrilled to share that I’ve successfully set up a graph database in Amazon Neptune. This powerful, fully managed graph database service is perfect for applications that need to work with highly connected data, such as recommendation engines, fraud detection systems, and social networks. Here’s a quick overview of the steps I followed to get started with Amazon Neptune: 1. 🔍 Choose Neptune in AWS Management Console - Navigate to the AWS Management Console. - Select Amazon Neptune from the list of services. 2. 🛠️ Create a Neptune DB Cluster - Click on Create database. - Choose your preferred configuration for the DB cluster. - Select the instance type and other settings as per your requirements. - Click Create database to initiate the process. 3. 🔗 Configure Network Settings - Ensure your Neptune cluster is within a VPC. - Configure security groups, subnets, and other network settings for connectivity. 4. 📜 Set Up IAM Roles - Create or choose an existing IAM role with necessary permissions. - Attach the IAM role to your Neptune cluster for accessing data securely. 5. 📂 Load Data into Neptune - Use Amazon S3 for bulk loading your data into Neptune. - Prepare your data files in RDF, CSV, or other supported formats. 6. 🧩 Start Querying with Gremlin/ SPARQL - Connect to your Neptune endpoint using a graph query language of your choice. - Use Gremlin for property graph models or SPARQL for RDF models. - Execute queries to interact with your data and gain insights. 7. 🔄 Monitor and Maintain - Use Amazon CloudWatch to monitor the health and performance of your Neptune database. - Set up automated backups and snapshots for data protection Grateful to KARTHI M Sir and AWS Cloud Club St.Joseph's Group of Institutions for entrusting me with the opportunity to embark on the AWS 30 Days Challenge! Their support has been invaluable in fueling my journey. 🚀 I want to extend my heartfelt gratitude to Harish Gunasekaran for his exceptional guidance and unwavering support. His insightful advice and encouragement have been pivotal to my professional development. #AmazonNeptune #GraphDatabase #DataScience #CloudComputing #DevOps #AWS #Gratitude #Teamwork #Innovation #Technique #TechInnovation #Programming #TechCommunity #AWSDeveloper #30daysCloudChallenge #PEPCloudChallenge #StudentsAtAWS #AWSchallenges #30daysChallenge #CloudInnovation #DataAnalytics #Serverless #BigData #AI #MachineLearning #CloudInfrastructure #DynamoDB #SQL #Database #TechJourney #LearningEveryDay

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