#S3-compatible data solution

[sharon-ai]

Managing large volumes of data requires a storage solution that is not only scalable but also compatible with industry standards. Sharon AI offers a powerful S3-compatible cloud storage and data solution built for performance, security, and cost efficiency.

Why Choose S3-Compatible Cloud Storage?

Our S3-compatible cloud storage solution allows you to integrate seamlessly with existing applications and tools that already support Amazon S3 APIs. This means zero friction and faster adoption, without vendor lock-in.

Seamless Integration: Use your current S3-based workflows with our storage platform with minimal configuration.

Scalability: Scale from gigabytes to petabytes as your business grows—no infrastructure limitations.

High Availability: Enjoy durable, redundant, and geo-distributed storage designed to keep your data safe and always accessible.

Cost Efficiency: Cut costs without sacrificing performance. Our pricing model is transparent, with no hidden fees for access or egress.

Designed for Developers, Teams & Enterprises

Whether you're building apps, storing backups, or managing enterprise-level datasets, Sharon AI’s cloud storage solution provides a reliable foundation. With full S3 API compatibility, our platform supports popular tools, SDKs, and automation pipelines.

Experience the performance and flexibility of a true S3-compatible data solution, backed by Sharon AI’s secure and scalable infrastructure.

👉 Learn more about our cloud storage platform

[govindhtech]

User-level Git secrets policy in EMR Studio Workspaces

Set up EMR Studio workplace collaboration. AWS Improves EMR Studio Security with Detailed IAM Permissions

Amazon Web Services (AWS) provides fine-grained control over user behaviours in Amazon EMR Studio, a big data analytics programming environment. New material covers AWS Identity and Access Management (IAM) user rights setup for controlling access to Amazon EMR clusters on EC2 or Amazon EKS. This comprehensive solution lets administrators set fine-grained permissions for user roles and authentication methods. It is important to note that this guide's permissions focus more on EMR Studio activity management than input dataset data access control. To manage dataset access, the Studio must directly establish cluster permissions. Foundational: User Roles and Permissions Permission architecture in EMR Studio emphasises user roles and access policies. IAM Identity Centre authentication requires an EMR Studio user role. This involves creating a role to grant permissions to an AWS service according to AWS procedures. This user position was built around trust relationship policy. This policy determines which service can perform the job. Acting like sts:Sts, AssumeRole:SetContext, EMR Studio's trust policy should allow elasticmapreduce.amazonaws.com to play the role. Standard trust policies look like this:

After creating the role, remove default policies and permissions. Before assigning users to Studios, this role is related with EMR Studio session policies.

Alternative authentication methods like direct IAM authentication or IAM federation with an external identity provider link permissions policies to IAM identities (users, groups, or roles). External IdP IAM jobs or roles are tied to IAM federation policies. Tiers of Permission Administrators can create IAM permissions policies to restrict Studio user access. Documentation includes basic, intermediate, and advanced policies. A careful analysis maps every Studio process to the minimum IAM activities. Permissions policies must include certain statements. Tagging Secrets Manager secrets with emr-studio-* requires permissions.

Example of Basic User Policy

Basic user policies allow most EMR Studio actions but restrict users from directly creating Amazon EMR clusters. It covers permissions to create, describe, list, start, stop, and delete Workspaces (elasticmapreduce: CreateEditor, DescribeEditor, ListEditors, DeleteEditor), view the Collaboration panel, access S3 for logs and bucket listings, attach and detach EC2 and EKS clusters, debug jobs using persistent and on-cluster user interfaces, and manage Git repositories. This policy includes tag-based access control (TBAC) requirements for EMR Studio service role compatibility. It can enumerate IAM roles (iam:ListRoles) and describe network objects (ec2:DescribeVpcs, DescribeSubnets, DescribeSecurityGroups). Direct IAM authentication requires the CreateStudioPresignedUrl permission, which the simple policy example lacks. Intermediate/Advanced Skills Intermediate user policy expands basic permissions. All basic EMR Studio actions work. Most crucially, it grants permissions for using cluster templates to create new Amazon EMR clusters. This covers CloudFormation:DescribeStackResources and Service Catalogue:SearchProducts, DescribeProduct, and ProvisionProduct. Intermediate users can attach and detach EMR Serverless apps. The enhanced user policy allows all EMR Studio functions for maximum access. In addition to the intermediate policy, elasticmapreduce:RunJobFlow can create new Amazon EMR clusters from templates or with a complete setup. The advanced policy also allows access to Amazon Athena SQL editor with Glue, KMS, and S3 permissions (athena:*, glue:*, kms:*, s3:* actions for data catalogue, queries, etc.), Amazon SageMaker AI Studio for Data Wrangler visual interface (sagemaker:* actions), and Amazon CodeWhisperer. The advanced policy requires CreateStudioPresignedUrl permission and TBAC requirements for IAM authentication users, like the basic and intermediate examples. The full table in the documentation shows how to add and remove Workspaces:

Workplace collaboration

Multiple users can cooperate in EMR Studio's workspace. You need certain rights to use the Collaboration panel in the Workspace UI: Elasticmapreduce:ListWorkspaceAccessIdentities, UpdateEditor, PutWorkspaceAccess, and DeleteWorkspaceAccess. The panel is accessible to authorised users. Limited collaboration can be achieved via tag-based access control. EMR Studio automatically applies a default tag with the key creatorUserId and the value the workspace creator's ID upon workspace creation. Manually tag older workspaces for TBAC, which applies to workspaces created after November 16, 2021. By using a policy variable like ${aws:userId}, users can enable collaboration only for their created Workspaces.

Policy variables like aws:userId enable request context-based policy evaluation. Managing Git Secret Permissions Integrating Git repositories with EMR Studio requires permissions to access AWS Secrets Manager Git credentials. EMR Studio automatically tags newly created Git secrets with for-use-with-amazon-emr-managed-user-policies for user-level access control. Users or services can set Git secret permissions. User-level management is implemented by adding tag-based permissions to the EMR Studio user role policy for the secretsmanager:GetSecretValue function. This policy utilises the tag ${aws:userId} for usage with Amazon EM R controlled user policies.

EMR Studio service role policy permissions for secretsmanager:GetSecretValue should be removed when moving to user-level rights. EMR Studio automatically applied the user-level tag on September 1, 2023. Secrets generated before this date must be tagged or recreated for user-level rights. Keeping GetSecretValue in the service role policy lets administrators use service-level access. For more precise secret access control, user-level permissions with tag-based access control are recommended. Last thoughts on EMR Studio permissions Businesses using Amazon EMR Studio must configure these IAM rights. Administrators can employ user roles, custom permission policies, and tag-based access control for Git secrets and Workspace collaboration to provide users the access they need to do their work. This enhances security and clarifies Studio user capabilities. These systems provide tight control over Studio activities, but restricting data access is also important for security.

[hawkstack]

Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation (DO370)

In today’s fast-paced cloud-native world, managing storage across containers and Kubernetes platforms can be complex and resource-intensive. Red Hat OpenShift Data Foundation (ODF), formerly known as OpenShift Container Storage (OCS), provides an integrated and robust solution for managing persistent storage in OpenShift environments. One of Red Hat’s key training offerings in this space is the DO370 course – Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation.

In this blog post, we’ll explore the highlights of this course, what professionals can expect to learn, and why ODF is a game-changer for enterprise Kubernetes storage.

What is Red Hat OpenShift Data Foundation?

Red Hat OpenShift Data Foundation is a software-defined storage solution built on Ceph and tightly integrated with Red Hat OpenShift. It provides persistent, scalable, and secure storage for containers, enabling stateful applications to thrive in a Kubernetes ecosystem.

With ODF, enterprises can manage block, file, and object storage across hybrid and multi-cloud environments—without the complexities of managing external storage systems.

Course Overview: DO370

The DO370 course is designed for developers, system administrators, and site reliability engineers who want to deploy and manage Red Hat OpenShift Data Foundation in an OpenShift environment. It is a hands-on lab-intensive course, emphasizing practical experience over theory.

Key Topics Covered:

Introduction to storage challenges in Kubernetes

Deployment of OpenShift Data Foundation

Managing block, file, and object storage

Configuring storage classes and dynamic provisioning

Monitoring, troubleshooting, and managing storage usage

Integrating with workloads such as databases and CI/CD tools

Why DO370 is Essential for Modern IT Teams

1. Storage Made Kubernetes-Native

ODF integrates seamlessly with OpenShift, giving developers self-service access to dynamic storage provisioning without needing to understand the underlying infrastructure.

2. Consistency Across Environments

Whether your workloads run on-prem, in the cloud, or at the edge, ODF provides a consistent storage layer, which is critical for hybrid and multi-cloud strategies.

3. Data Resiliency and High Availability

With Ceph at its core, ODF provides high availability, replication, and fault tolerance, ensuring data durability across your Kubernetes clusters.

4. Hands-on Experience with Industry-Relevant Tools

DO370 includes hands-on labs with tools like NooBaa for S3-compatible object storage and integrates storage into realistic OpenShift use cases.

Who Should Take This Course?

OpenShift Administrators looking to extend their skills into persistent storage.

Storage Engineers transitioning to container-native storage solutions.

DevOps professionals managing stateful applications in OpenShift environments.

Teams planning to scale enterprise workloads that require reliable data storage in Kubernetes.

Certification Pathway

DO370 is part of the Red Hat Certified Architect (RHCA) infrastructure track and is a valuable step for anyone pursuing expert-level certification in OpenShift or storage technologies. Completing this course helps prepare for the EX370 certification exam.

Final Thoughts

As enterprises continue to shift towards containerized and cloud-native application architectures, having a reliable and scalable storage solution becomes non-negotiable. Red Hat OpenShift Data Foundation addresses this challenge, and the DO370 course is the perfect entry point for mastering it.

If you're an IT professional looking to gain expertise in Kubernetes-native storage and want to future-proof your career, Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation (DO370) is the course to take. For more details www.hawkstack.com 

[nulledclubproblog]

BeDrive Nulled Script 3.1.5

Discover the Power of BeDrive Nulled Script – The Ultimate File Sharing & Cloud Storage Solution If you're searching for a powerful, user-friendly, and reliable cloud storage solution, look no further than the BeDrive Nulled Script. Designed for modern entrepreneurs, developers, and tech-savvy users, this high-performance platform offers seamless file sharing and secure cloud storage at your fingertips—without breaking the bank. What is BeDrive Nulled Script? The BeDrive Nulled Script is a premium file sharing and cloud storage platform developed using cutting-edge web technologies. It's the perfect alternative to mainstream services like Google Drive and Dropbox, offering the same robust functionalities with full control over your data. With its clean user interface and rich feature set, BeDrive is an ideal solution for startups, SaaS providers, and digital product marketplaces. Why Choose BeDrive Nulled Script? Getting your hands on the BeDrive Nulled Script means unlocking the full potential of a premium cloud storage system—entirely free. Whether you're hosting large files, collaborating with teams, or managing private user folders, BeDrive handles it all with efficiency and style. Thanks to its nulled version, users can enjoy premium features without the hefty licensing fees, making it a go-to choice for budget-conscious innovators. Technical Specifications Backend: Laravel Framework (robust, secure, and scalable) Frontend: Vue.js for a fast and interactive UI Database: MySQL or MariaDB supported Storage: Compatible with local storage, Amazon S3, and DigitalOcean Spaces File Types: Supports documents, videos, images, and compressed files Security: User authentication, folder permissions, and file encryption Key Features and Benefits Multi-user Support: Allow multiple users to register and manage their own files securely. Drag-and-Drop Upload: Easy file uploads with a modern drag-and-drop interface. File Previews: View PDFs, images, and videos directly within the platform. Folder Organization: Create, rename, and manage folders just like on your desktop. Sharing Options: Share files publicly or privately with time-limited links. Advanced Admin Panel: Monitor user activity, storage usage, and platform performance. Popular Use Cases The BeDrive Nulled Script is incredibly versatile. Here are just a few ways you can use it: Freelancers: Share deliverables securely with clients and collaborators. Agencies: Manage and distribute digital assets for projects and campaigns. Online Communities: Offer cloud storage features as part of a paid membership site. Startups: Launch your own file-sharing or backup service without building from scratch. Installation Guide Setting up the BeDrive Nulled Script is quick and hassle-free. Follow these steps to get started: Download the full script package from our website. Upload the files to your preferred hosting server. Create a new MySQL database and import the provided SQL file. Run the installation wizard to complete setup and admin configuration. Start uploading and sharing your files instantly! Make sure your hosting environment supports PHP 8.0 or later for optimal performance. FAQs – BeDrive Nulled Script 1. Is the BeDrive Nulled Script safe to use? Yes, the script is thoroughly tested for safety and performance. We recommend using secure hosting and regular updates to keep your platform safe. 2. Do I need coding knowledge to use it? No, the platform is designed to be user-friendly. However, basic web hosting knowledge will make installation and customization easier. 3. Can I monetize my BeDrive installation? Absolutely! Add premium user plans, integrate ads, or offer subscription models to monetize your cloud service. 4. What if I face issues during setup? We provide comprehensive installation documentation, and our community is always ready to help you troubleshoot any challenges. Download BeDrive Nulled Script Now Unlock the full potential of premium cloud storage for free with the BeDrive .

No hidden costs, no licensing fees—just powerful tools at your command. Looking for more great tools? Check out our vast library of nulled plugins to boost your digital projects. Also, if you're searching for top-quality WordPress themes, don’t miss the avada nulled theme—another fan-favorite you can grab for free!

[softcrayons19]

Azure vs. AWS: A Detailed Comparison

Cloud computing has become the backbone of modern IT infrastructure, offering businesses scalability, security, and flexibility. Among the top cloud service providers, Microsoft Azure and Amazon Web Services (AWS) dominate the market, each bringing unique strengths. While AWS has held the position as a cloud pioneer, Azure has been gaining traction, especially among enterprises with existing Microsoft ecosystems. This article provides an in-depth comparison of Azure vs. AWS, covering aspects like database services, architecture, and data engineering capabilities to help businesses make an informed decision.

1. Market Presence and Adoption

AWS, launched in 2006, was the first major cloud provider and remains the market leader. It boasts a massive customer base, including startups, enterprises, and government organizations. Azure, introduced by Microsoft in 2010, has seen rapid growth, especially among enterprises leveraging Microsoft's ecosystem. Many companies using Microsoft products like Windows Server, SQL Server, and Office 365 find Azure a natural choice.

2. Cloud Architecture: Comparing Azure and AWS

Cloud architecture defines how cloud services integrate and support workloads. Both AWS and Azure provide robust cloud architectures but with different approaches.

AWS Cloud Architecture

AWS follows a modular approach, allowing users to pick and choose services based on their needs. It offers:

Amazon EC2 for scalable compute resources

Amazon VPC for network security and isolation

Amazon S3 for highly scalable object storage

AWS Lambda for serverless computing

Azure Cloud Architecture

Azure's architecture is designed to integrate seamlessly with Microsoft tools and services. It includes:

Azure Virtual Machines (VMs) for compute workloads

Azure Virtual Network (VNet) for networking and security

Azure Blob Storage for scalable object storage

Azure Functions for serverless computing

In terms of architecture, AWS provides more flexibility, while Azure ensures deep integration with enterprise IT environments.

3. Database Services: Azure SQL vs. AWS RDS

Database management is crucial for any cloud strategy. Both AWS and Azure offer extensive database solutions, but they cater to different needs.

AWS Database Services

AWS provides a wide range of managed database services, including:

Amazon RDS (Relational Database Service) – Supports MySQL, PostgreSQL, SQL Server, MariaDB, and Oracle.

Amazon Aurora – High-performance relational database compatible with MySQL and PostgreSQL.

Amazon DynamoDB – NoSQL database for low-latency applications.

Amazon Redshift – Data warehousing for big data analytics.

Azure Database Services

Azure offers strong database services, especially for Microsoft-centric workloads:

Azure SQL Database – Fully managed SQL database optimized for Microsoft applications.

Cosmos DB – Globally distributed, multi-model NoSQL database.

Azure Synapse Analytics – Enterprise-scale data warehousing.

Azure Database for PostgreSQL/MySQL/MariaDB – Open-source relational databases with managed services.

AWS provides a more mature and diverse database portfolio, while Azure stands out in SQL-based workloads and seamless Microsoft integration.

4. Data Engineering and Analytics: Which Cloud is Better?

Data engineering is a critical function that ensures efficient data processing, transformation, and storage. Both AWS and Azure offer data engineering tools, but their capabilities differ.

AWS Data Engineering Tools

AWS Glue – Serverless data integration service for ETL workloads.

Amazon Kinesis – Real-time data streaming.

AWS Data Pipeline – Orchestration of data workflows.

Amazon EMR (Elastic MapReduce) – Managed Hadoop, Spark, and Presto.

Azure Data Engineering Tools

Azure Data Factory – Cloud-based ETL and data integration.

Azure Stream Analytics – Real-time event processing.

Azure Databricks – Managed Apache Spark for big data processing.

Azure HDInsight – Fully managed Hadoop and Spark services.

Azure has an edge in data engineering for enterprises leveraging AI and machine learning via Azure Machine Learning and Databricks. AWS, however, excels in scalable and mature big data tools.

5. Pricing Models and Cost Efficiency

Cloud pricing is a major factor when selecting a provider. Both AWS and Azure offer pay-as-you-go pricing, reserved instances, and cost optimization tools.

AWS Pricing: Charges are based on compute, storage, data transfer, and additional services. AWS also offers AWS Savings Plans for cost reductions.

Azure Pricing: Azure provides cost-effective solutions for Microsoft-centric businesses. Azure Hybrid Benefit allows companies to use existing Windows Server and SQL Server licenses to save costs.

AWS generally provides more pricing transparency, while Azure offers better pricing for Microsoft users.

6. Security and Compliance

Security is a top priority in cloud computing, and both AWS and Azure provide strong security measures.

AWS Security: Uses AWS IAM (Identity and Access Management), AWS Shield (DDoS protection), and AWS Key Management Service.

Azure Security: Provides Azure Active Directory (AAD), Azure Security Center, and built-in compliance features for enterprises.

Both platforms meet industry standards like GDPR, HIPAA, and ISO 27001, making them secure choices for businesses.

7. Hybrid Cloud Capabilities

Enterprises increasingly prefer hybrid cloud strategies. Here, Azure has a significant advantage due to its Azure Arc and Azure Stack technologies that extend cloud services to on-premises environments.

AWS offers AWS Outposts, but it is not as deeply integrated as Azure’s hybrid solutions.

8. Which Cloud Should You Choose?

Choose AWS if:

You need a diverse range of cloud services.

You require highly scalable and mature cloud solutions.

Your business prioritizes flexibility and a global cloud footprint.

Choose Azure if:

Your business relies heavily on Microsoft products.

You need strong hybrid cloud capabilities.

Your focus is on SQL-based workloads and enterprise data engineering.

Conclusion

Both AWS and Azure are powerful cloud providers with unique strengths. AWS remains the leader in cloud services, flexibility, and scalability, while Azure is the go-to choice for enterprises using Microsoft’s ecosystem.

Ultimately, the right choice depends on your organization’s needs in terms of database management, cloud architecture, data engineering, and overall IT strategy. Companies looking for a seamless Microsoft integration should opt for Azure, while businesses seeking a highly scalable and service-rich cloud should consider AWS.

Regardless of your choice, both platforms provide the foundation for a strong, scalable, and secure cloud infrastructure in today’s data-driven world.

[meditechinsight01]

Global Medical Device Connectivity Market: Data Privacy and 22% CAGR to 2030

The global medical device connectivity market is projected to grow at a CAGR of 22% from 2025 to 2030. This growth is propelled by the surge in healthcare digitization, an increasing need for real-time patient monitoring, and regulatory mandates emphasizing data integration and interoperability across healthcare systems. Medical device connectivity enhances clinical workflows, enabling seamless data exchange between medical devices and Electronic Health Records (EHRs) across hospitals, ambulatory surgical centers, and home healthcare environments.

The medical device connectivity market is centered on technologies and services that enable data sharing, improve patient care, and streamline healthcare operations. Unlike conventional health IT solutions, device connectivity solutions specifically bridge the interface between medical devices and hospital information systems, ensuring real-time, unified data access for clinicians and healthcare providers.

Unlock key findings! Fill out a quick inquiry to access a sample report

Rising Demand for Real-Time Data and Compliance with Regulatory Standards

The rising demand for real-time data sharing and regulatory compliance are significant factors driving the medical device connectivity market. Connectivity solutions enhance interoperability, which is crucial for complying with global healthcare standards set by agencies like the FDA, EMA, and HIPAA. These standards demand accurate data management, auditability, and patient privacy, particularly as healthcare shifts toward a data-centric model. Cloud-based medical device connectivity solutions offer healthcare providers scalable and flexible options for data storage and management, enabling facilities to meet compliance standards efficiently without the infrastructure constraints of on-premises solutions.

Key Challenges in Medical Device Connectivity: Security, Data Integration, and Legacy System Compatibility

The medical device connectivity market encounters several challenges, including cybersecurity threats, data integration issues, and the complexities of connecting legacy medical equipment. Ensuring the security of interconnected devices is critical, as these devices handle sensitive patient information, making them vulnerable to cyber threats. Furthermore, integrating connectivity solutions with legacy devices and EHRs can be difficult, as older systems may lack the technical compatibility required for modern interoperability standards. Addressing these issues is essential to fully realize the benefits of medical device connectivity in enhancing healthcare delivery.

Competitive Landscape Analysis

Leading companies in the medical device connectivity market, such as GE Healthcare, Philips Healthcare, Oracle Corporation, Masimo Corporation, S3 Connected Health, Cisco Systems, Medtronic, iHealth Labs, Infosys, and Lantronix, are advancing their connectivity solutions by investing in AI-enabled analytics, strengthening data security features, and forming partnerships with healthcare providers. These companies are also focusing on cloud-based and AI-enhanced solutions to support scalability, adaptability, and compliance in various healthcare settings.

Get exclusive insights - download your sample report today 

Market Segmentation

This report by Medi-Tech Insights provides the size of the global medical device connectivity market at the regional- and country-level from 2023 to 2030. The report further segments the market based on technology and end user.

Market Size & Forecast (2023-2030), By Technology, USD Billion

Wired

Wireless

Hybrid

Market Size & Forecast (2023-2030), By End User, USD Billion

Hospitals and Health Systems

Ambulatory Surgical Centers

Home Healthcare

Market Size & Forecast (2023-2030), By Region, USD Billion

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Rest of Europe

Asia Pacific

China

India

Japan

Rest of Asia Pacific

Latin America

Middle East & Africa

About Medi-Tech Insights

Medi-Tech Insights is a healthcare-focused business research & insights firm. Our clients include Fortune 500 companies, blue-chip investors & hyper-growth start-ups. We have completed 100+ projects in Digital Health, Healthcare IT, Medical Technology, Medical Devices & Pharma Services in the areas of market assessments, due diligence, competitive intelligence, market sizing and forecasting, pricing analysis & go-to-market strategy. Our methodology includes rigorous secondary research combined with deep-dive interviews with industry-leading CXO, VPs, and key demand/supply side decision-makers.

Contact:

Ruta Halde  Associate, Medi-Tech Insights  +32 498 86 80 79  info@meditechinsights.com 

[10pb-website]

S3 Compatible Storage Providers - 10PB Powered by NetForChoice

S3 compatible storage providers offer scalable, secure, and cost-effective cloud storage solutions that integrate seamlessly with applications using the S3 API. These providers deliver high-performance storage with features like data durability, easy backups, and fast retrieval. Whether you're a startup or enterprise, S3 compatible storage solutions are ideal for managing large volumes of data. 10PB powered by NetForChoice offers advanced S3 storage options, ensuring reliability and scalability for businesses of all sizes. Enhance your cloud infrastructure with S3 compatibility today!

[sharon-ai]

S3-Compatible Cloud Storage & Data Solution

Managing large volumes of data requires a storage solution that is not only scalable but also compatible with industry standards. Sharon AI offers a powerful S3-compatible cloud storage and data solution built for performance, security, and cost efficiency.

Why Choose S3-Compatible Cloud Storage?

Our S3-compatible cloud storage solution allows you to integrate seamlessly with existing applications and tools that already support Amazon S3 APIs. This means zero friction and faster adoption, without vendor lock-in.

Seamless Integration: Use your current S3-based workflows with our storage platform with minimal configuration.

Scalability: Scale from gigabytes to petabytes as your business grows—no infrastructure limitations.

High Availability: Enjoy durable, redundant, and geo-distributed storage designed to keep your data safe and always accessible.

Cost Efficiency: Cut costs without sacrificing performance. Our pricing model is transparent, with no hidden fees for access or egress.

Designed for Developers, Teams & Enterprises

Whether you're building apps, storing backups, or managing enterprise-level datasets, Sharon AI’s cloud storage solution provides a reliable foundation. With full S3 API compatibility, our platform supports popular tools, SDKs, and automation pipelines.

Experience the performance and flexibility of a true S3-compatible data solution, backed by Sharon AI’s secure and scalable infrastructure.

👉 Learn more about our cloud storage platform

[tzunami1]

This new scalable, cost-effective solution promised by S3-compatible storage has completely revolutionized the concept of cloud data management. So what exactly is S3-compatible storage, and how does this all work? Well, S3-compatible storage is a cloud storage solution based entirely on the Amazon S3 simple storage service API. For this reason, it also ensures smooth data transfer with management across platforms, building it into the core element of modern enterprises.

[govindhtech]

Amazon FSx for Lustre Benefits, Use Cases And Features

What is Amazon FSx for Lustre?

Amazon FSx for Lustre is a fully managed solution offering high-performance, scalable, and reasonably priced storage computational workloads. The most widely used high-performance file system in the world serves as the foundation for fully controlled shared storage.

Amazon FSx for Lustre advantages

Quicken computation workloads

Shared storage with sub-millisecond latencies, hundreds of gigabytes/second throughput, and millions of IOPS can speed up computing workloads. In only a few minutes, deploy a fully managed Lustre file system.

Use Amazon S3 to access and handle data sets

By connecting your file systems to S3 buckets, you may access and handle Amazon S3 data from a high-performance file system.

Optimize the cost and functionality of storage for your workload

Use a variety of deployment choices, such as replication level, performance tier, and storage type, to balance cost and performance.

How it operates

With the scalability and performance of the well-liked Lustre file system, Amazon FSx for Lustre offers fully managed shared storage.

Use cases

Increase the speed of machine learning (ML)

Training durations can be shortened with optimized throughput to your computational resources and convenient access to training data stored in Amazon S3.

High performance computing (HPC) should be enabled

Fast, highly scalable storage that is directly integrated with AWS computation and orchestration services can power even the most demanding HPC applications.

Open up big data analytics

Support petabytes of data and thousands of computing instances executing sophisticated analytics workloads.

Boost the agility of the media workload

With storage that grows with your computer, you can adapt to ever-tinier visual effects (VFX), rendering, and transcoding timelines.

Amazon Lustre FSx Features

Overview

Amazon FSx for Lustre provides controlled, cost-effective, high-performance, scalable compute storage. Based on Lustre, the world’s most popular high-performance file system, FSx for Lustre provides shared storage with sub-ms latency, terabytes per second throughput, and millions of IOPS. When coupled to Amazon Simple Storage Service (S3) buckets, FSx for Lustre file systems can access and process data simultaneously.

Improve workload performance

Overview

AWS FSx for Lustre file systems can handle terabytes per second and millions of IOPS. FSx for Lustre handles concurrent access to files and directories from thousands of compute instances. Low file operation latencies are guaranteed by FSx for Lustre.

Most common high-performance file system

The Lustre open source file system is the most popular file system for the 500 fastest computers in the world because it efficiently and cheaply processes the world’s expanding data collections. It is battle-tested in energy, life sciences, media production, and financial services for genome sequencing, video transcoding, machine learning, and fraud detection.

Use for any compute workload

Overview

Popular Linux-based AMIs like Amazon Linux, Red Hat Enterprise Linux (RHEL), CentOS, Ubuntu, and SUSE Linux are compatible with FSx for Lustre.

Simple import/export Amazon S3 info

Amazon FSx for Lustre allows native S3 data access for data-processing tasks.

You can join one or more S3 buckets to a file system in Amazon FSx with a few clicks. After connecting your S3 bucket to your file system, FSx for Lustre transparently displays S3 objects as files and lets you post results to S3. Objects added, altered, or removed from your S3 bucket update your connected file system automatically. As files are added, edited, or removed, FSx for Lustre updates your S3 bucket automatically. Data is exported back to S3 quickly using parallel data-transfer techniques by FSx for Lustre.

Utilize computing services easily

AWS FSx for Lustre can be used on Amazon EC2 instances or on-premises machines. Your file system’s files and directories can be accessed like a local file system once mounted. Amazon EKS containers can access FSx for Lustre file systems.

Increase Amazon SageMaker instructor positions

Amazon Sagemaker supports Amazon FSx for Lustre input data. Amazon SageMaker and Amazon FSx for Lustre expedite machine learning training jobs by skipping the initial S3 download phase and reducing TCO by avoiding repeated downloads of common items (saving S3 request costs) for iterative jobs on the same data set.

Compute management services simplify deployment

Amazon FSx for Lustre interfaces with AWS Batch via EC2 Launch Templates. Our cloud-native batch scheduler supports HPC, ML, and other asynchronous workloads. AWS Batch launches instances and runs jobs using existing FSx for Lustre file systems and dynamically sizes instances to job resource requirements.

Lustre FSx works with AWS ParallelCluster. Deploy and manage HPC clusters with AWS ParallelCluster, an open-source cluster management tool. During cluster creation, it can automatically create Lustre FSx or use existing file systems.

Access data quickly

File data access has sub-millisecond first-byte latency on SSDs and single-digit millisecond on HDDs.

Metadata servers with low-latency SSD storage support all Amazon FSx for Lustre file systems, regardless of deployment type, storage type, or throughput performance. The SSD-based metadata server delivers metadata operations, which make up most file system activities, with sub-millisecond latencies.

Save money

Reduce paperwork and scale capacity and performance as needed

You can construct and scale a high-performance Lustre file system with a few clicks via Amazon FSx console, CLI, or API. The time-consuming administration responsibilities of managing file servers and storage volumes, updating hardware, setting software, running out of space, and tweaking performance are automated by Amazon FSx file systems.

Various deployments

For short-term and long-term data processing, Amazon FSx for Lustre supports scratch and persistent file systems. Scratch files are suited for short-term data storage and processing. A failed file server does not replicate or save data. For long-term storage and workloads, persistent file systems are best. A persistent file system replicates data and replaces failed servers.

For additional data protection and business and regulatory compliance, Amazon FSx may automatically take incremental backups of persistent file systems. Amazon S3 backups are 99.999999999% durable.

Many storage choices

To optimise cost and performance for your workload, Amazon FSx for Lustre offers SSD and HDD storage solutions. SSD storage can be used for low-latency, IOPS-intensive workloads with tiny, random file operations. HDD storage can handle throughput-intensive workloads with huge, sequential file operations.

To provide sub-millisecond latencies and better IOPS for frequently visited files in an HDD-based file system, provision an SSD cache.

Storage quotas can monitor and limit user- and group-level storage consumption on file systems to prevent unnecessary capacity use. Storage quotas are for file system administrators who service various users, teams, or projects.

Data compression lowers storage costs

File system backups and storage can be reduced by data compression. The data compression feature uses the LZ4 algorithm, which optimizes compression without affecting file system speed. Data compression allows FSx for Lustre to compress and uncompress newly written files before writing them to disk and reading them.

Get rid of old files

After exporting files to Amazon S3, release inactive data to maximize storage capacity. After a file is released, its data is removed from the file system and stored on S3, but its metadata remains. A released file is automatically and transparently loaded from your S3 bucket onto your file system when accessed.

Ensure security and compliance

Overview

Amazon FSx for Lustre file systems are secured at-rest and in-transit in specific areas.

AWS helps customers manage their requirements with the longest-running cloud compliance program. The security of Amazon FSx meets global and industry requirements. In addition to HIPAA, it is PCI DSS, ISO 9001, 27001, 27017, and 27018 compliant and SOC 1, 2, and 3. Visit our compliance site for resources. To see all services and certifications, visit the Services in Scope by Compliance Program page.

Isolated networks

Amazon VPC endpoints allow you to isolate your Amazon FSx file system in your virtual network. Configure security group rules and network access to Amazon FSx file systems.

Resources-level permissions

Amazon FSx integrates with AWS IAM. You can govern how AWS IAM users and groups create and delete file systems using this connection. Amazon FSx resources can be tagged to restrict IAM user and group actions.

One-stop backup and compliance with AWS Backup

Integration with AWS Backup allows fully managed, policy-based backup and recovery for Amazon FSx file systems. Integration with AWS Backup protects customer data and ensures AWS service compliance for business continuity.

Regional and account backup compliance

Copying Amazon FSx file system backups across AWS Regions, accounts, or both can improve data protection and meet business continuity, disaster recovery, and compliance requirements.

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[hawkstack]

Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation (DO370)

In today’s hybrid cloud and container-native landscape, storage plays a critical role in enabling scalable, resilient, and high-performing applications. As organizations move towards Kubernetes and cloud-native infrastructures, the need for robust and integrated storage solutions becomes more pronounced. Red Hat addresses this challenge with Red Hat OpenShift Data Foundation (ODF)—a unified, software-defined storage platform built for OpenShift.

The DO370: Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation course equips IT professionals with the skills needed to deploy, configure, and manage ODF as a dynamic storage solution for containerized applications on OpenShift.

What is Red Hat OpenShift Data Foundation?

Red Hat OpenShift Data Foundation (formerly OpenShift Container Storage) is a software-defined storage platform that integrates tightly with Red Hat OpenShift. It provides persistent storage for applications, databases, CI/CD pipelines, and AI/ML workloads—all with the simplicity and agility of Kubernetes-native services.

ODF leverages Ceph, Rook, and NooBaa under the hood to offer block, file, and object storage, making it a versatile option for stateful workloads.

What You’ll Learn in DO370

The DO370 course dives deep into enterprise-grade storage capabilities and walks learners through hands-on labs and real-world use cases. Here's a snapshot of the key topics covered:

🔧 Deploy and Configure OpenShift Data Foundation

Understand ODF architecture and components

Deploy internal and external mode storage clusters

Use storage classes for dynamic provisioning

📦 Manage Persistent Storage for Containers

Create and manage Persistent Volume Claims (PVCs)

Deploy and run stateful applications

Understand block, file, and object storage options

📈 Monitor and Optimize Storage Performance

Monitor cluster health and performance with built-in tools

Tune and scale storage based on application demands

Implement alerts and proactive management practices

🛡️ Data Resiliency and Security

Implement replication and erasure coding for high availability

Understand encryption, backup, and disaster recovery

Configure multi-zone and multi-region storage setups

🧪 Advanced Use Cases

Integrate with AI/ML workloads and CI/CD pipelines

Object gateway with S3-compatible APIs

Hybrid and multi-cloud storage strategies

Who Should Take DO370?

This course is ideal for:

Platform Engineers and Cluster Administrators managing OpenShift clusters

DevOps Engineers deploying stateful apps

Storage Administrators transitioning to Kubernetes-native environments

IT Architects designing enterprise storage strategies for hybrid clouds

Prerequisites: Before taking DO370, you should be comfortable with OpenShift administration (such as through DO180 and DO280) and have foundational knowledge of Linux and Kubernetes.

Why ODF Matters for Enterprise Workloads

In a world where applications are more data-intensive than ever, a flexible and reliable storage layer is non-negotiable. Red Hat ODF brings resiliency, scalability, and deep OpenShift integration, making it the go-to choice for organizations running mission-critical workloads on Kubernetes.

Whether you're running databases, streaming data pipelines, or AI models—ODF provides the tools to manage data effectively, securely, and at scale.

Final Thoughts

The DO370 course empowers professionals to take control of their container-native storage strategy. With OpenShift Data Foundation, you're not just managing storage—you’re enabling innovation across your enterprise.

Ready to become a storage pro in the Kubernetes world? Dive into DO370 and take your OpenShift skills to the next level.

Want help with course prep or real-world deployment of OpenShift Data Foundation? www.hawkstack.com

[nulledclubproblog]

PlayTube Nulled Script 3.1.1

Discover the Power of PlayTube Nulled Script: Your Ultimate Video Sharing Platform Are you looking for a professional-grade video sharing solution without spending a fortune? With the PlayTube Nulled Script, you can create your own dynamic, responsive, and feature-packed video sharing website, completely free. This robust PHP script gives you access to a premium experience without the premium price tag, empowering you to build a streaming platform that rivals industry giants. What is the PlayTube Nulled Script? The PlayTube Nulled Script is a powerful, open-source video sharing platform designed for creators, entrepreneurs, and developers. It offers everything you need to launch a full-fledged video website—from user uploads to monetization tools—while remaining fully customizable and easy to manage. Unlike other options that require costly subscriptions or complex configurations, PlayTube's nulled version removes all restrictions, giving you full control without compromising on features or flexibility. Technical Specifications of PlayTube Nulled Script Language: PHP 7.0+ Database: MySQL 5.x or higher Framework: Custom PHP Framework (MVC Pattern) Responsive Design: Mobile-friendly UI/UX Browser Compatibility: All modern browsers Storage: Supports external video hosting like Amazon S3 Features and Benefits of PlayTube  Script With the PlayTube Nulled Script, you gain access to a suite of industry-leading features: Advanced Video Management: Upload, edit, and categorize videos with ease. SEO Optimization: Automatically generates SEO-friendly URLs and meta tags. Monetization Tools: Built-in ad manager for Google AdSense, native ads, and banners. Social Integration: Connect with Facebook, Twitter, and Google for easy sharing and login. Multi-language Support: Reach a global audience effortlessly with built-in localization features. Analytics Dashboard: Track user activity, video performance, and revenue data. Live Streaming Support: Stream events or real-time content directly to your users. Who Can Benefit from the PlayTube Nulled Script? Whether you're a digital content creator, video blogger, educator, or media house, the PlayTube  is the ideal platform to showcase your content. It’s also perfect for startups and small businesses that want to break into the video hosting space without heavy upfront investment. From launching niche entertainment channels to creating educational video hubs, this script offers flexibility and scalability to match your growth. How to Install and Use PlayTube  Script Getting started is simple: Download the script: Get the latest version of the PlayTube Nulled Script for free from our website. Upload to your server: Use FTP or your hosting panel to upload the files. Run the installer: Follow the on-screen instructions to configure the database and admin credentials. Customize your site: Personalize design elements, content categories, and plugins. Launch your platform: Start sharing, monetizing, and growing your video platform today! Frequently Asked Questions (FAQs) Is the PlayTube Nulled Script safe to use? Yes, when downloaded from our trusted source, the script is fully functional and malware-free. Always ensure you're using a clean, verified version for optimal performance and security. Can I monetize videos using this script? Absolutely! The script includes built-in monetization options like pre-roll ads, banner placements, and third-party ad integration. Is there support for different languages? Yes, the script is multilingual and allows you to add or edit translations easily, making it suitable for a global audience. Will I receive updates? While official updates are not included with nulled versions, you can manually update features or switch to a licensed version later. Why Download PlayTube Nulled Script from Us? We provide a secure, easy-to-use platform for downloading premium tools for free. Not only do we offer the latest version of the PlayTube

Nulled Script, but we also ensure every file is thoroughly scanned and regularly updated for reliability. If you're looking for even more powerful tools, check out our premium plugins like WPML pro NULLED. And if you’re exploring premium themes, don’t miss the7 NULLED, one of the most versatile WordPress themes available today. Build Your Own Video Platform with PlayTube Nulled Script Today! The future of content is video, and with the PlayTube , you’re equipped to capture that future—no strings attached. Download it now, start building your platform, and join the video revolution without spending a dime.

[cloudastra1]

AWS Aurora vs RDS: An In-Depth Comparison

AWS Aurora vs. RDS

Amazon Web Services (AWS) offers a range of database solutions, among which Amazon Aurora and Amazon Relational Database Service (RDS) are prominent choices for relational database management. While both services cater to similar needs, they have distinct features, performance characteristics, and use cases. This comparison will help you understand the differences and make an informed decision based on your specific requirements.

What is Amazon RDS?

Amazon RDS is a managed database service that supports several database engines, including MySQL, PostgreSQL, MariaDB, Oracle, and Microsoft SQL Server. RDS simplifies the process of setting up, operating, and scaling a relational database in the cloud by automating tasks such as hardware provisioning, database setup, patching, and backups.

What is Amazon Aurora?

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, combining the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Aurora is designed to deliver high performance and reliability, with some advanced features that set it apart from standard RDS offerings.

Performance

Amazon RDS: Performance depends on the selected database engine and instance type. It provides good performance for typical workloads but may require manual tuning and optimization.

Amazon Aurora: Designed for high performance, Aurora can deliver up to five times the throughput of standard MySQL and up to three times the throughput of standard PostgreSQL databases. It achieves this through distributed, fault-tolerant, and self-healing storage that is decoupled from compute resources.

Scalability

Amazon RDS: Supports vertical scaling by upgrading the instance size and horizontal scaling through read replicas. However, the scaling process may involve downtime and requires careful planning.

Amazon Aurora: Offers seamless scalability with up to 15 low-latency read replicas, and it can automatically adjust the storage capacity without affecting database performance. Aurora’s architecture allows it to scale out and handle increased workloads more efficiently.

Availability and Durability

Amazon RDS: Provides high availability through Multi-AZ deployments, where a standby replica is maintained in a different Availability Zone. In case of a primary instance failure, RDS automatically performs a failover to the standby replica.

Amazon Aurora: Enhances availability with six-way replication across three Availability Zones and automated failover mechanisms. Aurora’s storage is designed to be self-healing, with continuous backups to Amazon S3 and automatic repair of corrupted data blocks.

Cost

Amazon RDS: Generally more cost-effective for smaller, less demanding workloads. Pricing depends on the chosen database engine, instance type, and storage requirements.

Amazon Aurora: Slightly more expensive than RDS due to its advanced features and higher performance capabilities. However, it can be more cost-efficient for large-scale, high-traffic applications due to its performance and scaling advantages.

Maintenance and Management

Amazon RDS: Offers automated backups, patching, and minor version upgrades. Users can manage various configuration settings and maintenance windows, but they must handle some aspects of database optimization.

Amazon Aurora: Simplifies maintenance with continuous backups, automated patching, and seamless version upgrades. Aurora also provides advanced monitoring and diagnostics through Amazon CloudWatch and Performance Insights.

Use Cases

Amazon RDS: Suitable for a wide range of applications, including small to medium-sized web applications, development and testing environments, and enterprise applications that do not require extreme performance or scalability.

Amazon Aurora: Ideal for mission-critical applications that demand high performance, scalability, and availability, such as e-commerce platforms, financial systems, and large-scale enterprise applications. Aurora is also a good choice for organizations looking to migrate from commercial databases to a more cost-effective cloud-native solution.

Conclusion

Amazon Aurora vs Amazon RDS both offer robust, managed database solutions in the AWS ecosystem. RDS provides flexibility with multiple database engines and is well-suited for typical workloads and smaller applications. Aurora, on the other hand, excels in performance, scalability, and availability, making it the preferred choice for demanding and large-scale applications. Choosing between RDS and Aurora depends on your specific needs, performance requirements, and budget considerations.

[10pb-website]

S3 Compatible Storage Providers - 10PB Powered by NetForChoice

S3 compatible storage providers offer scalable, secure, and cost-effective cloud storage solutions that integrate seamlessly with applications using the S3 API. These providers deliver high-performance storage with features like data durability, easy backups, and fast retrieval. Whether you're a startup or enterprise, S3 compatible storage solutions are ideal for managing large volumes of data. 10PB powered by NetForChoice offers advanced S3 storage options, ensuring reliability and scalability for businesses of all sizes. Enhance your cloud infrastructure with S3 compatibility today!