Знакомство с виртуальными машинами
Каждому администратору предприятия приходится иметь дело с настройкой виртуальных машин. Использовать виртуальные машины можно для разработки и тестирования приложения, а также хранения данных. Преимуществами виртуальных машин можно назвать гибкость в выборе операционной системы и возможность дублирования рабочего пространства. Проблемы при работе с ними сложны, поскольку виртуальные машины используют ресурсы иначе, чем физические. Виртуальные машины подвергаются различным рискам и проблемам с производительностью. Must know для IT-специалистов, чтобы поддерживать работоспособную сетевую инфраструктуру.
Читать: https://habr.com/ru/post/665786/
Каждому администратору предприятия приходится иметь дело с настройкой виртуальных машин. Использовать виртуальные машины можно для разработки и тестирования приложения, а также хранения данных. Преимуществами виртуальных машин можно назвать гибкость в выборе операционной системы и возможность дублирования рабочего пространства. Проблемы при работе с ними сложны, поскольку виртуальные машины используют ресурсы иначе, чем физические. Виртуальные машины подвергаются различным рискам и проблемам с производительностью. Must know для IT-специалистов, чтобы поддерживать работоспособную сетевую инфраструктуру.
Читать: https://habr.com/ru/post/665786/
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Announcing Atlas Data Federation and Atlas Data Lake
Read: https://www.mongodb.com/blog/post/announcing-atlas-data-federation-data-lake
Read: https://www.mongodb.com/blog/post/announcing-atlas-data-federation-data-lake
Keeping Data in Sync Anywhere with Cluster-to-Cluster Sync
Read: https://www.mongodb.com/blog/post/cluster-to-cluster-sync
Read: https://www.mongodb.com/blog/post/cluster-to-cluster-sync
MongoDB Announces the New Atlas CLI
Read: https://www.mongodb.com/blog/post/mongodb-announces-new-atlas-cli
Read: https://www.mongodb.com/blog/post/mongodb-announces-new-atlas-cli
Embrace the Benefits of Serverless Development With MongoDB Atlas
Read: https://www.mongodb.com/blog/post/embrace-benefits-serverless-development-atlas
Read: https://www.mongodb.com/blog/post/embrace-benefits-serverless-development-atlas
Accelerate App Development by Integrating MongoDB Atlas with Vercel: Now Available on the Vercel Marketplace
Read: https://www.mongodb.com/blog/post/accelerate-app-development-integrating-atlas-vercel
Read: https://www.mongodb.com/blog/post/accelerate-app-development-integrating-atlas-vercel
MongoDB Announces New Verified Solutions Program
Read: https://www.mongodb.com/blog/post/mongodb-announces-new-verified-solutions-program
Read: https://www.mongodb.com/blog/post/mongodb-announces-new-verified-solutions-program
MongoDB Atlas Data API Is Now Generally Available: Connectionless Data Access Over HTTPS
Read: https://www.mongodb.com/blog/post/atlas-data-api-generally-available-connectionless-data-access-over-https
Read: https://www.mongodb.com/blog/post/atlas-data-api-generally-available-connectionless-data-access-over-https
MongoDB Releases Queryable Encryption Preview
Read: https://www.mongodb.com/blog/post/mongodb-releases-queryable-encryption-preview
Read: https://www.mongodb.com/blog/post/mongodb-releases-queryable-encryption-preview
Enhancing Atlas Online Archive With Data Expiration and Scheduled Archiving
Read: https://www.mongodb.com/blog/post/enhancing-atlas-online-archive-data-expiration-scheduled-archiving
Read: https://www.mongodb.com/blog/post/enhancing-atlas-online-archive-data-expiration-scheduled-archiving
Flexible Sync Delivers Device Data to the Cloud in Real-Time
Read: https://www.mongodb.com/blog/post/flexible-sync-delivers-device-data-cloud-real-time
Read: https://www.mongodb.com/blog/post/flexible-sync-delivers-device-data-cloud-real-time
New Ways to Deliver Excellent Search Experiences With Atlas Search
Read: https://www.mongodb.com/blog/post/new-ways-deliver-excellent-search-experiences-atlas-search
Read: https://www.mongodb.com/blog/post/new-ways-deliver-excellent-search-experiences-atlas-search
Introducing the Atlas SQL Interface, Connectors, and Drivers
Read: https://www.mongodb.com/blog/post/introducing-atlas-sql-interface-connectors-drivers
Read: https://www.mongodb.com/blog/post/introducing-atlas-sql-interface-connectors-drivers
Announcing MongoDB Relational Migrator
Read: https://www.mongodb.com/blog/post/announcing-mongodb-relational-migrator
Read: https://www.mongodb.com/blog/post/announcing-mongodb-relational-migrator
MongoDB Announces New Time Series Capabilities Coming for MongoDB 6.0
Read: https://www.mongodb.com/blog/post/announces-new-time-series-capabilities-coming-mongodb-6-0
Read: https://www.mongodb.com/blog/post/announces-new-time-series-capabilities-coming-mongodb-6-0
5 New Analytics Features to Accelerate Insights and Automate Decision-Making
Read: https://www.mongodb.com/blog/post/new-analytics-features-accelerate-insights-automate-decision-making
Read: https://www.mongodb.com/blog/post/new-analytics-features-accelerate-insights-automate-decision-making
Closing the Developer Experience Gap: MongoDB World Announcements
Read: https://www.mongodb.com/blog/post/closing-developer-experience-gap-world-announcements
Read: https://www.mongodb.com/blog/post/closing-developer-experience-gap-world-announcements
Streamline, Simplify, Accelerate: New MongoDB Features Reduce Complexity
Read: https://www.mongodb.com/blog/post/streamline-simplify-accelerate-features-reduce-complexity
Read: https://www.mongodb.com/blog/post/streamline-simplify-accelerate-features-reduce-complexity
4 New MongoDB Features to Improve Security and Operations
Read: https://www.mongodb.com/blog/post/4-new-features-improve-security-operations
Read: https://www.mongodb.com/blog/post/4-new-features-improve-security-operations
Unlocking innovative at-home patient care solutions with Azure
This post was co-authored by Stuart Bailey, Product Director, Capita Healthcare Decisions
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services. Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud is a new way of working with unified data—providing care teams with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem.
As pressures on the National Health Service (NHS) in the United Kingdom continue to grow, so does the need for safe and effective home health care. Head Home is a remote patient monitoring (RPM) solution that looks to streamline current at-home care for patients and their health and care professionals.
The NHS is currently experiencing the most severe pressures it has in its 70-year history, with an already strained system being stretched beyond its limits by the impact of the COVID-19 pandemic.1 In hospitals, the number of general and acute beds available has been declining since 20102, and it has been estimated that up to 15 percent of beds are being used by people waiting for care3. Finding innovative ways to relieve these pressures remain critical in supporting the NHS’ recovery.
To find solutions to this challenge, a key area to address is facilitating more efficient patient discharge and at-home care. Patient surveys have long shown that most older people prefer to receive care at home, and recent research by the University of Oxford has found that this may improve patient outcomes and satisfaction, while simultaneously helping to reduce hospital pressures.4 This approach is known as “hospital-at-home” and its use has been accelerated by the pandemic. Hospital-at-home aims to allow health and care professionals to provide remote monitoring and communication for patients from their own homes, whilst helping healthcare facilities to free up vital resources. However, while wearable devices such as temperature monitors, pulse monitors, blood pressure monitors, and even heart monitors are readily available, solutions that enable them to be monitored remotely are less common and the hospital-a-home approach is currently reliant on expensive, hard to maintain devices and bespoke manufacturer software.
This is largely due to data still being stored on-premises in a siloed healthcare industry, and a lack of interoperability among these on-premises systems. Disparate datasets are collected from a variety of wearables without a unified solution to manage them, making it difficult for providers to access patient data collected from wearable devices at home in a timely fashion. This results in delays in patient monitoring and formulating treatment plans when patients are out of the hospital, making monitoring and treating patients remotely unachievable.
To help solve this problem, Microsoft released Azure Health Data Services, a suite of purpose-built technologies for protected health information (PHI) in the cloud built on the global open standards Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). This solution enables providers to unify and manage data on a trusted cloud, making it possible to standardize diverse data streams such as clinical, imaging, device, and unstructured data using FHIR, DICOM, and MedTech services. Data collected from various wearables and in different formats can be ingested and persisted in Azure Health Data Services, allowing data to be managed in one place, a[...]
This post was co-authored by Stuart Bailey, Product Director, Capita Healthcare Decisions
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services. Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud is a new way of working with unified data—providing care teams with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem.
As pressures on the National Health Service (NHS) in the United Kingdom continue to grow, so does the need for safe and effective home health care. Head Home is a remote patient monitoring (RPM) solution that looks to streamline current at-home care for patients and their health and care professionals.
The NHS is currently experiencing the most severe pressures it has in its 70-year history, with an already strained system being stretched beyond its limits by the impact of the COVID-19 pandemic.1 In hospitals, the number of general and acute beds available has been declining since 20102, and it has been estimated that up to 15 percent of beds are being used by people waiting for care3. Finding innovative ways to relieve these pressures remain critical in supporting the NHS’ recovery.
To find solutions to this challenge, a key area to address is facilitating more efficient patient discharge and at-home care. Patient surveys have long shown that most older people prefer to receive care at home, and recent research by the University of Oxford has found that this may improve patient outcomes and satisfaction, while simultaneously helping to reduce hospital pressures.4 This approach is known as “hospital-at-home” and its use has been accelerated by the pandemic. Hospital-at-home aims to allow health and care professionals to provide remote monitoring and communication for patients from their own homes, whilst helping healthcare facilities to free up vital resources. However, while wearable devices such as temperature monitors, pulse monitors, blood pressure monitors, and even heart monitors are readily available, solutions that enable them to be monitored remotely are less common and the hospital-a-home approach is currently reliant on expensive, hard to maintain devices and bespoke manufacturer software.
This is largely due to data still being stored on-premises in a siloed healthcare industry, and a lack of interoperability among these on-premises systems. Disparate datasets are collected from a variety of wearables without a unified solution to manage them, making it difficult for providers to access patient data collected from wearable devices at home in a timely fashion. This results in delays in patient monitoring and formulating treatment plans when patients are out of the hospital, making monitoring and treating patients remotely unachievable.
To help solve this problem, Microsoft released Azure Health Data Services, a suite of purpose-built technologies for protected health information (PHI) in the cloud built on the global open standards Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). This solution enables providers to unify and manage data on a trusted cloud, making it possible to standardize diverse data streams such as clinical, imaging, device, and unstructured data using FHIR, DICOM, and MedTech services. Data collected from various wearables and in different formats can be ingested and persisted in Azure Health Data Services, allowing data to be managed in one place, a[...]