#vmware api

[marcushueller]

Terraform: Clone Linux VM From Template

In this article, I will go through the deployment details of an Ubuntu Linux virtual machine. Just one file, with user/password information, and only hardcoded values. This is a bit unflexible and maybe not the best way to work with Terraform files, but for the use case of my customer it was absolutely fine. For now, we just need to see if / how it works. Ubuntu Linux I installed a template VM…

[govindhtech]

Protect SAP Workloads with Workload Manager’s assessment

Use the assessment service offered by Workload Manager to protect your SAP setups.

Following best practices is essential as companies move their SAP workloads to the cloud. In this blog article, they explore Google Cloud’s Workload Manager and demonstrate how its automated, rule-based analysis may proactively detect potential misconfigurations and deviations from best practices, thereby helping to protect your SAP workloads.

The function of best practices in preserving the integrity of the SAP workloads

Large-scale cloud deployment configuration and maintenance can be difficult, particularly when operating systems, applications, and infrastructure are all involved. Complicated setups, changing industry standards, and the possibility of human mistake associated with manual labour can all have a detrimental effect on your SAP workloads and ultimately your company.

In the past, misconfigurations were only found and fixed in reaction to a crisis, and frequently required laborious manual inspections. Workload Manager offers a SAP assessment service that can significantly enhance your Google Cloud SAP workloads management capabilities, enabling you to:

Minimise avoidable errors: Adhering to best practices would have prevented or lessened a great deal of problems and disruptions. Perform scans to proactively find possible problems before they become more serious ones.

Safeguard go-lives: To help boost go-live success rates and address problems that can be challenging to fix later, make sure new deployments are validated and configured in accordance with best practices.

Detect drift: Perform routine scans to find any changes or misconfigurations over time.

Minimise operational overhead: To help reduce time spent on laborious manual inspections, automate the validation process.

Workload Manager

An introduction of the Workload Manager evaluation service

The sophisticated rule-based validation service offered by Workload Manager’s evaluation service may automatically evaluate your SAP workloads in comparison to a comprehensive set of operating system, SAP, and Google Cloud best practices.

As new insights are gained and best practices change, the SAP rule catalogue is regularly updated. The supplied rules explore important facets of your SAP setup in the following categories, going beyond basic configuration checks:

SAP General: Guidelines that are applicable to all kinds of SAP workloads, like support requirements and VM setup settings

SAP High Availability: Analyzing cluster setups, failover procedures, and system architectures, these checks help maximize availability and reliability.

HANA & SAP NetWeaver: Logic that recognizes each resource’s role automatically and then verifies it against role-specific specifications including approved machine sizes, disc kinds, and other details

SAP HANA Insights: Perceptive analysis and optimizations for memory allocation, performance evaluations, compression, and other areas

SAP HANA Security Best Practices: Guidelines for assessing HANA’s security posture, covering known vulnerabilities, encryption settings, and access control, among other things Following a scan, an assessment report summarizes the findings and enables you to go more into each rule to see which specific resources passed and failed.

Every rule comprises an explanation of the problem, an assessment of its gravity, and a suggestion along with links to the pertinent files to aid in fixing the issue. Additionally, you have the option to get alerts by email or Pub/Sub on specific triggers, like the discovery of a new issue.

How to use the Workload Manager assessment service

Install the SAP Google  Cloud agent on each virtual machine within the scope.

The SAP agent for Google  Cloud is a unified agent that handles several tasks associated with executing SAP workloads on Google Cloud. Every virtual machine (VM) running SAP workloads on Google Cloud must have the agent installed and operational (SAP Note 2456406 – SAP on Google Cloud Platform: Support Prerequisites).

The agent also offers optional features, such as the Workload Manager that gathers data for analysis. To ensure that the agent is installed and configured appropriately, consult the following checklist: Install Google Cloud’s SAP Agent.

An automated check to ensure that the agent is installed and configured correctly in every in-scope virtual machine is also included in the assessment report. Run an assessment as instructed below and look for the rule labelled “Verify that Google  Cloud’s Agent for SAP is configured appropriately on all instances within the evaluation scope” in the results if you are not sure if you have already finished the aforementioned steps.

Prerequisites and first authorization

Make sure you have finished the following requirements before utilising the Sap Workload Manager assessment service:

Turn on the API for Workload Manager.

IAM Roles: To control access to the assessment service, specify the relevant IAM roles.

Please be aware that Workload Manager makes use of a Service Agent, and depending on the projects and configurations chosen during the following evaluation setup, this agent can require additional IAM rights. An administrator can find it useful to construct the initial assessment and provide any permissions that are missing when asked; this is a one-time requirement per project.

Make an assessment using Workload Manager

Locate Workload Manager > Evaluation in the console by using the search bar at the top or by navigating to the location, which is nested under Compute in the left navigation pane.

To get started, click the New Evaluation icon at the top.

Give the evaluation a name and a description on the Evaluation details tab, then choose “SAP” from the Workload type selection option.

You can choose the project or projects you want to assess and apply filters to further narrow the scope on the Evaluation Scope tab.

You can choose which rules to include in the evaluation on the Evaluation rules tab. You can choose all of the rules if you are unclear which to choose because only those that are pertinent to each resource in scope will be assessed.

Rules designated for SAP HANA, for instance, would not be compared to rules in the SAP NetWeaver category.

Likewise, guidelines for High Availability (HA) wouldn’t be assessed for a system that doesn’t support HA.

You can choose “Does not repeat” if you want to execute this particular evaluation on an as-needed basis, or you can choose how frequently to run it on the Scheduling page.

You can still perform extra assessments as needed, even if you choose a repeating frequency; this won’t affect the planned scans.

You can select to get notifications on the Notifications tab based on different triggers, including when a new issue is discovered, which is coupled with Notification Channels like Slack or email.

Lastly, you can review your choices on the Review tab and click “Create” to close the deal. It could take you a few more minutes to complete the first evaluation you prepare for a project.

When it’s done, you’ll receive a notification that will return you to the assessment dashboard.

Conduct an assessment and review the outcomes

Once a new evaluation has been created, it can be run by choosing it from the evaluation dashboard and clicking “Run,” or, if you have specified a repeating frequency, by waiting for the next scheduled run. After everything is finished, SAP workloads Manager produces an extensive report that shows both areas of compliance and departures from best practices. After that, you can delve more into particular rules to find out exactly what needs to be fixed and which resources passed and failed each check.

Validation of best practices: Going beyond the fundamentals

SAP workloads Manager, together with its recently launched assessment service, is a potent tool for detecting misconfigurations and departures from recommended practices in SAP instances hosted on Google Cloud. Consult the official documentation for troubleshooting advice and answers to frequently asked problems, or contact Google  Cloud customer service.

Read more on govindhtech.com

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[hawkstack]

Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform

As enterprises modernize their infrastructure, migrating traditional virtual machines (VMs) to container-native platforms is no longer just a trend — it’s a necessity. One of the most powerful solutions for this evolution is Red Hat OpenShift Virtualization, which allows organizations to run VMs side-by-side with containers on a unified Kubernetes platform. When combined with Red Hat Ansible Automation Platform, this migration can be automated, repeatable, and efficient.

In this blog, we’ll explore how enterprises can leverage Ansible to seamlessly migrate workloads from legacy virtualization platforms (like VMware or KVM) to OpenShift Virtualization.

🔍 Why OpenShift Virtualization?

OpenShift Virtualization extends OpenShift’s capabilities to include traditional VMs, enabling:

Unified management of containers and VMs

Native integration with Kubernetes networking and storage

Simplified CI/CD pipelines that include VM-based workloads

Reduction of operational overhead and licensing costs

🛠️ The Role of Ansible Automation Platform

Red Hat Ansible Automation Platform is the glue that binds infrastructure automation, offering:

Agentless automation using SSH or APIs

Pre-built collections for platforms like VMware, OpenShift, KubeVirt, and more

Scalable execution environments for large-scale VM migration

Role-based access and governance through automation controller (formerly Tower)

🧭 Migration Workflow Overview

A typical migration flow using Ansible and OpenShift Virtualization involves:

1. Discovery Phase

Inventory the source VMs using Ansible VMware/KVM modules.

Collect VM configuration, network settings, and storage details.

2. Template Creation

Convert the discovered VM configurations into KubeVirt/OVIRT VM manifests.

Define OpenShift-native templates to match the workload requirements.

3. Image Conversion and Upload

Use tools like virt-v2v or Ansible roles to export VM disk images (VMDK/QCOW2).

Upload to OpenShift using Containerized Data Importer (CDI) or PVCs.

4. VM Deployment

Deploy converted VMs as KubeVirt VirtualMachines via Ansible Playbooks.

Integrate with OpenShift Networking and Storage (Multus, OCS, etc.)

5. Validation & Post-Migration

Run automated smoke tests or app-specific validation.

Integrate monitoring and alerting via Prometheus/Grafana.

- name: Deploy VM on OpenShift Virtualization

  hosts: localhost

  tasks:

    - name: Create PVC for VM disk

      k8s:

        state: present

        definition: "{{ lookup('file', 'vm-pvc.yaml') }}"

    - name: Deploy VirtualMachine

      k8s:

        state: present

        definition: "{{ lookup('file', 'vm-definition.yaml') }}"

🔐 Benefits of This Approach

✅ Consistency – Every VM migration follows the same process.

✅ Auditability – Track every step of the migration with Ansible logs.

✅ Security – Ansible integrates with enterprise IAM and RBAC policies.

✅ Scalability – Migrate tens or hundreds of VMs using automation workflows.

🌐 Real-World Use Case

At HawkStack Technologies, we’ve successfully helped enterprises migrate large-scale critical workloads from VMware vSphere to OpenShift Virtualization using Ansible. Our structured playbooks, coupled with Red Hat-supported tools, ensured zero data loss and minimal downtime.

🔚 Conclusion

As cloud-native adoption grows, merging the worlds of VMs and containers is no longer optional. With Red Hat OpenShift Virtualization and Ansible Automation Platform, organizations get the best of both worlds — a powerful, policy-driven, scalable infrastructure that supports modern and legacy workloads alike.

If you're planning a VM migration journey or modernizing your data center, reach out to HawkStack Technologies — Red Hat Certified Partners — to accelerate your transformation. For more details www.hawkstack.com 

[vndta-vps]

Cloud Server – Máy Chủ Ảo Đám Mây: Giải Pháp Công Nghệ Tối Ưu Cho Doanh Nghiệp Hiện Đại

Trong thời đại chuyển đổi số mạnh mẽ như hiện nay, việc ứng dụng công nghệ vào hoạt động vận hành doanh nghiệp không còn là xu hướng, mà đã trở thành nhu cầu tất yếu. Một trong những công nghệ nổi bật, góp phần tối ưu hoá hiệu suất làm việc, tiết kiệm chi phí và tăng tính linh hoạt là Cloud Server – Máy Chủ Ảo Đám Mây. Vậy Cloud Server là gì? Tại sao doanh nghiệp nên lựa chọn giải pháp này thay vì máy chủ truyền thống? Hãy cùng tìm hiểu chi tiết qua bài viết dưới đây.

Cloud Server – Máy Chủ Ảo Đám Mây Là Gì?

Cloud Server, hay còn gọi là Máy Chủ Ảo Đám Mây, là một dạng máy chủ được tạo ra và vận hành trên nền tảng điện toán đám mây (cloud computing). Khác với máy chủ vật lý truyền thống, Cloud Server không phụ thuộc vào phần cứng cụ thể mà được triển khai trên một hệ thống ảo hóa cao, giúp chia sẻ tài nguyên và mở rộng linh hoạt.

Máy chủ ảo đám mây có thể được truy cập từ bất kỳ đâu có kết nối Internet, và người dùng có thể điều chỉnh cấu hình (CPU, RAM, dung lượng lưu trữ) một cách dễ dàng, gần như ngay lập tức mà không cần chờ đợi triển khai phần cứng.

Ưu Điểm Vượt Trội Của Cloud Server

Khả Năng Mở Rộng Linh Hoạt

Với Cloud Server – Máy Chủ Ảo Đám Mây, bạn có thể dễ dàng nâng cấp tài nguyên khi có nhu cầu, chẳng hạn như tăng CPU, RAM hay dung lượng lưu trữ. Điều này đặc biệt hữu ích với doanh nghiệp có nhu cầu tăng trưởng nhanh hoặc theo mùa.

Tiết Kiệm Chi Phí Đầu Tư

Thay vì phải bỏ ra số tiền lớn để đầu tư phần cứng máy chủ ban đầu, doanh nghiệp có thể lựa chọn thuê Cloud Server theo gói hoặc trả phí theo tài nguyên sử dụng thực tế. Điều này giúp tối ưu ngân sách và dễ dàng kiểm soát chi phí.

Hiệu Suất Cao & Ổn Định

Các nhà cung cấp Cloud Server uy tín thường xây dựng hạ tầng trên nền tảng công nghệ hiện đại, với hệ thống máy chủ vật lý mạnh mẽ, đảm bảo hiệu suất xử lý cao, tốc độ truy cập nhanh và độ ổn định tốt.

Bảo Mật Tối Ưu

Cloud Server thường được tích hợp các tính năng bảo mật hiện đại như tường lửa, sao lưu tự động, chống DDoS, SSL,... giúp bảo vệ dữ liệu và hệ thống khỏi các mối đe dọa mạng.

Quản Trị Dễ Dàng

Hệ thống quản trị của máy chủ ảo đám mây thường rất thân thiện với người dùng, hỗ trợ thao tác nhanh chóng như cài đặt hệ điều hành, sao lưu, khởi động lại,... ngay trên giao diện web.

Ứng Dụng Của Cloud Server – Máy Chủ Ảo Đám Mây

Cloud Server phù hợp với nhiều mô hình doanh nghiệp và mục đích sử dụng khác nhau, bao gồm:

Lưu trữ và chia sẻ dữ liệu nội bộ

Triển khai website, hệ thống thương mại điện tử

Chạy phần mềm kế toán, ERP, CRM

Máy chủ cho ứng dụng mobile hoặc API backend

Môi trư��ng thử nghiệm và phát triển phần mềm

Lý Do Nên Chuyển Sang Cloud Server Ngay Hôm Nay

Nếu doanh nghiệp bạn vẫn đang sử dụng máy chủ vật lý hoặc shared hosting, thì việc chuyển sang Cloud Server – Máy Chủ Ảo Đám Mây sẽ mang lại nhiều giá trị thiết thực:

Tăng tính linh hoạt trong vận hành và mở rộng hệ thống

Nâng cao hiệu suất làm việc, giảm tình trạng downtime

Bảo vệ dữ liệu an toàn, dễ dàng sao lưu và phục hồi

Tiết kiệm thời gian và chi phí nhân sự IT

Cách Lựa Chọn Nhà Cung Cấp Cloud Server Uy Tín

Để tận dụng tối đa lợi ích của Cloud Server – Máy Chủ Ảo Đám Mây, bạn cần chọn đúng đơn vị cung cấp dịch vụ chất lượng. Dưới đây là một số tiêu chí cần quan tâm:

Hạ tầng mạnh, sử dụng công nghệ ảo hóa hiện đại (VMware, KVM, OpenStack…)

Cam kết uptime tối thiểu 99.9%

Hỗ trợ kỹ thuật 24/7

Có chính sách backup và bảo mật rõ ràng

Cho phép nâng cấp/downgrade linh hoạt

Một số nhà cung cấp phổ biến tại Việt Nam gồm: Viettel IDC, VNG Cloud, FPT Cloud, AZDIGI, TinoHost, v.v.

Kết Luận

Cloud Server – Máy Chủ Ảo Đám Mây không chỉ là xu hướng mà đã trở thành lựa chọn chiến lược của nhiều doanh nghiệp hiện đại. Với khả năng linh hoạt, tiết kiệm chi phí, hiệu suất cao và bảo mật tốt, Cloud Server xứng đáng là “trái tim công nghệ” giúp doanh nghiệp phát triển bền vững trong kỷ nguyên số.

Nếu bạn đang tìm kiếm một giải pháp máy chủ tối ưu, đừng chần chừ nữa – hãy đầu tư vào Cloud Server ngay hôm nay để trải nghiệm sự khác biệt vượt trội!

Tìm hiểu thêm: https://vndata.vn/cloud-server/

[skywardtelecom]

HPE Servers' Performance in Data Centers

HPE servers are widely regarded as high-performing, reliable, and well-suited for enterprise data center environments, consistently ranking among the top vendors globally. Here’s a breakdown of their performance across key dimensions:

1. Reliability & Stability (RAS Features)

Mission-Critical Uptime: HPE ProLiant (Gen10/Gen11), Synergy, and Integrity servers incorporate robust RAS (Reliability, Availability, Serviceability) features:

iLO (Integrated Lights-Out): Advanced remote management for monitoring, diagnostics, and repairs.

Smart Array Controllers: Hardware RAID with cache protection against power loss.

Silicon Root of Trust: Hardware-enforced security against firmware tampering.

Predictive analytics via HPE InfoSight for preemptive failure detection.

Result: High MTBF (Mean Time Between Failures) and minimal unplanned downtime.

2. Performance & Scalability

Latest Hardware: Support for newest Intel Xeon Scalable & AMD EPYC CPUs, DDR5 memory, PCIe 5.0, and high-speed NVMe storage.

Workload-Optimized:

ProLiant DL/ML: Versatile for virtualization, databases, and HCI.

Synergy: Composable infrastructure for dynamic resource pooling.

Apollo: High-density compute for HPC/AI.

Scalability: Modular designs (e.g., Synergy frames) allow scaling compute/storage independently.

3. Management & Automation

HPE OneView: Unified infrastructure management for servers, storage, and networking (automates provisioning, updates, and compliance).

Cloud Integration: Native tools for hybrid cloud (e.g., HPE GreenLake) and APIs for Terraform/Ansible.

HPE InfoSight: AI-driven analytics for optimizing performance and predicting issues.

4. Energy Efficiency & Cooling

Silent Smart Cooling: Dynamic fan control tuned for variable workloads.

Thermal Design: Optimized airflow (e.g., HPE Apollo 4000 supports direct liquid cooling).

Energy Star Certifications: ProLiant servers often exceed efficiency standards, reducing power/cooling costs.

5. Security

Firmware Integrity: Silicon Root of Trust ensures secure boot.

Cyber Resilience: Runtime intrusion detection, encrypted memory (AMD SEV-SNP, Intel SGX), and secure erase.

Zero Trust Architecture: Integrated with HPE Aruba networking for end-to-end security.

6. Hybrid Cloud & Edge Integration

HPE GreenLake: Consumption-based "as-a-service" model for on-premises data centers.

Edge Solutions: Compact servers (e.g., Edgeline EL8000) for rugged/remote deployments.

7. Support & Services

HPE Pointnext: Proactive 24/7 support, certified spare parts, and global service coverage.

Firmware/Driver Ecosystem: Regular updates with long-term lifecycle support.

Ideal Use Cases

Enterprise Virtualization: VMware/Hyper-V clusters on ProLiant.

Hybrid Cloud: GreenLake-managed private/hybrid environments.

AI/HPC: Apollo systems for GPU-heavy workloads.

SAP/Oracle: Mission-critical applications on Superdome Flex.

Considerations & Challenges

Cost: Premium pricing vs. white-box/OEM alternatives.

Complexity: Advanced features (e.g., Synergy/OneView) require training.

Ecosystem Lock-in: Best with HPE storage/networking for full integration.

Competitive Positioning

vs Dell PowerEdge: Comparable performance; HPE leads in composable infrastructure (Synergy) and AI-driven ops (InfoSight).

vs Cisco UCS: UCS excels in unified networking; HPE offers broader edge-to-cloud portfolio.

vs Lenovo ThinkSystem: Similar RAS; HPE has stronger hybrid cloud services (GreenLake).

Summary: HPE Server Strengths in Data Centers

Reliability: Industry-leading RAS + iLO management. Automation: AI-driven ops (InfoSight) + composability (Synergy). Efficiency: Energy-optimized designs + liquid cooling support. Security: End-to-end Zero Trust + firmware hardening. Hybrid Cloud: GreenLake consumption model + consistent API-driven management.

Bottom Line: HPE servers excel in demanding, large-scale data centers prioritizing stability, automation, and hybrid cloud flexibility. While priced at a premium, their RAS capabilities, management ecosystem, and global support justify the investment for enterprises with critical workloads. For SMBs or hyperscale web-tier deployments, cost may drive consideration of alternatives.

[coredgeblogs]

Kubernetes Cluster Management at Scale: Challenges and Solutions

As Kubernetes has become the cornerstone of modern cloud-native infrastructure, managing it at scale is a growing challenge for enterprises. While Kubernetes excels in orchestrating containers efficiently, managing multiple clusters across teams, environments, and regions presents a new level of operational complexity.

In this blog, we’ll explore the key challenges of Kubernetes cluster management at scale and offer actionable solutions, tools, and best practices to help engineering teams build scalable, secure, and maintainable Kubernetes environments.

Why Scaling Kubernetes Is Challenging

Kubernetes is designed for scalability—but only when implemented with foresight. As organizations expand from a single cluster to dozens or even hundreds, they encounter several operational hurdles.

Key Challenges:

1. Operational Overhead

Maintaining multiple clusters means managing upgrades, backups, security patches, and resource optimization—multiplied by every environment (dev, staging, prod). Without centralized tooling, this overhead can spiral quickly.

2. Configuration Drift

Cluster configurations often diverge over time, causing inconsistent behavior, deployment errors, or compliance risks. Manual updates make it difficult to maintain consistency.

3. Observability and Monitoring

Standard logging and monitoring solutions often fail to scale with the ephemeral and dynamic nature of containers. Observability becomes noisy and fragmented without standardization.

4. Resource Isolation and Multi-Tenancy

Balancing shared infrastructure with security and performance for different teams or business units is tricky. Kubernetes namespaces alone may not provide sufficient isolation.

5. Security and Policy Enforcement

Enforcing consistent RBAC policies, network segmentation, and compliance rules across multiple clusters can lead to blind spots and misconfigurations.

Best Practices and Scalable Solutions

To manage Kubernetes at scale effectively, enterprises need a layered, automation-driven strategy. Here are the key components:

1. GitOps for Declarative Infrastructure Management

GitOps leverages Git as the source of truth for infrastructure and application deployment. With tools like ArgoCD or Flux, you can:

Apply consistent configurations across clusters.

Automatically detect and rollback configuration drifts.

Audit all changes through Git commit history.

Benefits:

·       Immutable infrastructure

·       Easier rollbacks

·       Team collaboration and visibility

2. Centralized Cluster Management Platforms

Use centralized control planes to manage the lifecycle of multiple clusters. Popular tools include:

Rancher – Simplified Kubernetes management with RBAC and policy controls.

Red Hat OpenShift – Enterprise-grade PaaS built on Kubernetes.

VMware Tanzu Mission Control – Unified policy and lifecycle management.

Google Anthos / Azure Arc / Amazon EKS Anywhere – Cloud-native solutions with hybrid/multi-cloud support.

Benefits:

·       Unified view of all clusters

·       Role-based access control (RBAC)

·       Policy enforcement at scale

3. Standardization with Helm, Kustomize, and CRDs

Avoid bespoke configurations per cluster. Use templating and overlays:

Helm: Define and deploy repeatable Kubernetes manifests.

Kustomize: Customize raw YAMLs without forking.

Custom Resource Definitions (CRDs): Extend Kubernetes API to include enterprise-specific configurations.

Pro Tip: Store and manage these configurations in Git repositories following GitOps practices.

4. Scalable Observability Stack

Deploy a centralized observability solution to maintain visibility across environments.

Prometheus + Thanos: For multi-cluster metrics aggregation.

Grafana: For dashboards and alerting.

Loki or ELK Stack: For log aggregation.

Jaeger or OpenTelemetry: For tracing and performance monitoring.

Benefits:

·       Cluster health transparency

·       Proactive issue detection

·       Developer fliendly insights

5. Policy-as-Code and Security Automation

Enforce security and compliance policies consistently:

OPA + Gatekeeper: Define and enforce security policies (e.g., restrict container images, enforce labels).

Kyverno: Kubernetes-native policy engine for validation and mutation.

Falco: Real-time runtime security monitoring.

Kube-bench: Run CIS Kubernetes benchmark checks automatically.

Security Tip: Regularly scan cluster and workloads using tools like Trivy, Kube-hunter, or Aqua Security.

6. Autoscaling and Cost Optimization

To avoid resource wastage or service degradation:

Horizontal Pod Autoscaler (HPA) – Auto-scales pods based on metrics.

Vertical Pod Autoscaler (VPA) – Adjusts container resources.

Cluster Autoscaler – Scales nodes up/down based on workload.

Karpenter (AWS) – Next-gen open-source autoscaler with rapid provisioning.

Conclusion

As Kubernetes adoption matures, organizations must rethink their management strategy to accommodate growth, reliability, and governance. The transition from a handful of clusters to enterprise-wide Kubernetes infrastructure requires automation, observability, and strong policy enforcement.

By adopting GitOps, centralized control planes, standardized templates, and automated policy tools, enterprises can achieve Kubernetes cluster management at scale—without compromising on security, reliability, or developer velocity. 

[siddhiinfosoft5]

Why Every Android Developer Should Learn Multiplatform Kotlin (KMP)

Have you ever spent weeks perfecting an Android app, only to start everything from scratch for iOS? It’s frustrating, time-consuming, and often feels like double the effort for the same outcome.

But what if you could reuse a good portion of your code and still deliver native experiences on both platforms?

That’s where Kotlin Multiplatform (KMP) steps in—a rising star in the world of Android App Development that’s changing how developers build and scale mobile applications.

Whether you're a budding developer or a seasoned Android App Development company, learning and integrating Kotlin Multiplatform into your development toolkit can open new doors for productivity and innovation. This blog will uncover why KMP is the next step for Android developers and how it aligns with modern Android App Development services.

Understanding Kotlin Multiplatform (KMP)

Kotlin Multiplatform (KMP) is an extension of Kotlin that allows developers to write shared code that runs on multiple platforms. Instead of maintaining separate codebases for Android, iOS, web, and desktop apps, KMP allows you to write once and run anywhere—especially when it comes to business logic, data handling, and core functions.

It doesn’t aim to replace native development completely. Instead, it promotes code sharing across platforms while preserving platform-specific UI and capabilities. That’s what makes it uniquely efficient for mobile developers.

The Rise of Cross-Platform Solutions

Cross-platform development has long been a focus of modern software engineering. Technologies like Flutter, React Native, and Xamarin have gained traction by promising faster time-to-market and lower development costs. But these solutions often come with trade-offs—such as compromised performance or UI limitations.

This is where KMP shines. Unlike these frameworks, KMP doesn’t abstract away the native layer. Instead, it allows developers to reuse logic across platforms while still writing native code for each platform’s UI.

For an Android App Development company, this means delivering top-notch native experiences on Android while maintaining shared logic for iOS and beyond.

Why Android Developers Should Care About KMP

1. Future-Proof Your Skills

KMP is backed by JetBrains (the creators of Kotlin) and is already being integrated into large-scale apps by companies like Netflix, VMware, and Philips. As more businesses adopt KMP, there’s a rising demand for developers skilled in this framework.

For an Android App Development professional, adding KMP to your skill set ensures you're not only staying relevant but also becoming more valuable in the mobile development market.

2. Share Business Logic Across Platforms

Kotlin Multiplatform lets you reuse your app’s business logic across Android, iOS, and web, so you can stop duplicating code and start saving time. This includes:

API calls

Data models

Caching logic

Authentication mechanisms

Validation

This is a game-changer for Android App Development services, especially in startups and product-based companies where time and cost are critical.

3. Save Time Without Sacrificing Performance

Unlike traditional cross-platform tools that compromise performance for code sharing, KMP allows for native performance on every platform. KMP compiles your shared code into native binaries for each platform, which means your app performs just like a fully native one. This helps developers maintain efficiency without sacrificing user experience—a win-win for both users and businesses.

4. Seamless Integration into Existing Android Projects

One of the best things about KMP is that you don’t need to dive in all at once. You can start small—maybe just share a single module—and gradually build from there. No need to tear down your existing app.

This feature is especially beneficial for Android App Development companies looking to modernize legacy applications or experiment with cross-platform development without taking a major risk.

Where KMP Really Shines: Real-World Android Use Cases

1. Building Enterprise Applications

Large enterprises often require both Android and iOS versions of the same app with consistent business logic. KMP allows teams to synchronize these functionalities without duplicating efforts, thereby reducing development and maintenance time.

2. Developing MVPs and Startups Apps

Startups often face budget constraints. KMP allows them to roll out Android apps quickly and then reuse logic when expanding to iOS—making it ideal for delivering MVPs.

3. Multiplatform SDK Development

With KMP, companies are building shared SDKs once—and using them across both Android and iOS apps without duplicating work. This is particularly useful for teams offering white-label solutions or those building internal tools for cross-platform apps.

How KMP Enhances Android App Development Services

✦ Increased Productivity

By writing shared code once, teams can avoid duplicating work and reduce bugs. QA teams can also benefit from testing the shared logic just once rather than on both platforms.

✦ Faster Time-to-Market

KMP helps companies speed up development, so they can release their apps on Android and iOS much faster. This speed is critical for companies offering Android App Development services to competitive markets.

✦ Improved Collaboration

KMP encourages collaboration between Android and iOS teams. Rather than working in silos, teams share responsibility for shared logic, leading to better synchronization and overall product quality.

Challenges of KMP (and How to Overcome Them)

While KMP has immense potential, it’s not without challenges:

Learning Curve: Understanding how to architect shared code and platform-specific code properly takes time. However, plenty of community resources, documentation, and tutorials can ease the process.

UI sharing is limited with KMP since it’s all about sharing logic, not layouts—but that’s intentional. It gives you the freedom to build beautiful, platform-specific UIs using Jetpack Compose for Android and SwiftUI for iOS

Tooling and Debugging: While improving rapidly, debugging multiplatform code can sometimes be tricky. Yet, JetBrains is actively working on enhancing tooling in IntelliJ IDEA and Android Studio.

How We at Siddhi Infosoft Use KMP to Build Better Android Apps

At Siddhi Infosoft, we believe in adapting to the latest technologies to deliver maximum value to our clients. Our team of experienced developers is already utilizing Kotlin Multiplatform to build efficient, scalable, and high-performance applications.

As a leading Android App Development company, we offer KMP-based solutions that help businesses reduce development time, cut costs, and ensure quality across platforms. Whether you’re a startup aiming to build your first MVP or a growing enterprise looking to optimize your development pipeline, Siddhi Infosoft is equipped to bring your vision to life.

Here’s How Our Android App Development Services Use KMP

Cross-platform logic sharing

MVP development with shared Kotlin modules

Migration of legacy apps to KMP architecture

Building multiplatform SDKs

Consultation and support for integrating KMP into existing workflows

The Road Ahead: Evolving Android Development with Kotlin Multiplatform

As Kotlin Multiplatform continues to evolve, it will play a pivotal role in shaping the next generation of cross-platform apps. Developers and companies who adopt it early stand to gain a significant advantage in terms of productivity, performance, and scalability.

Android app development isn’t just about one platform anymore—it’s about crafting smooth, consistent experiences that work beautifully across all kinds of devices. KMP makes that vision a reality.

Conclusion

Kotlin Multiplatform is more than a buzzword—it's a powerful tool that every Android developer should consider. It allows you to leverage your existing Android knowledge, write clean and efficient shared code, and embrace the future of multiplatform development.

For developers, it means enhanced skills and broader career opportunities. For companies, it means faster releases, better ROI, and happier users. Whether you’re offering Android App Development services or looking to build your own app, now is the perfect time to explore the possibilities of Kotlin Multiplatform.

Ready to Embrace the Future?

Siddhi Infosoft is here to guide you. As an expert Android App Development company, we help businesses harness the power of KMP to build high-quality, future-ready mobile applications.

📞 Get in touch with us today to explore how Kotlin Multiplatform can transform your app development journey.

Resource: Why Every Android Developer Should Learn Multiplatform Kotlin (KMP)

[marcushueller]

Terraform: Automated Deployment Experience

During my project work for a global player in the last years and as a member of a big professional services team, I learned new things regarding infrastructure deployments. One of our architects introduced me to Terraform and how to deploy virtual machines in just minutes. Terraform Associate Certification I recently decided to go for the certification provided by HashiCorp. It is not easy to…

[cybersecurityict]

Enterprise File Synchronization and Sharing Market Size, Share, Analysis, Forecast, Growth 2032: Impact of Cloud Adoption

The Enterprise File Synchronization and Sharing Market size was valued at USD 9.60 Billion in 2023 and is expected to reach USD 63.64 Billion by 2032, growing at a CAGR of 23.73% over the forecast period 2024-2032.

Enterprise File Synchronization and Sharing (EFSS) solutions have become integral to modern business infrastructure, facilitating secure file access, sharing, and collaboration across diverse devices and platforms. With rising demand for cloud-based workflows and remote collaboration tools, organizations are increasingly adopting EFSS solutions to improve productivity and maintain stringent data security standards. The market is rapidly evolving as enterprises of all sizes strive to streamline internal processes, reduce IT complexity, and ensure compliance with industry regulations. Enterprise File Synchronization and Sharing Market continues to experience robust transformation driven by the increasing emphasis on digital workspace optimization. As businesses adapt to hybrid and remote working models, the role of EFSS has expanded beyond mere file sharing to a core component of enterprise collaboration ecosystems. Companies are investing in scalable, user-friendly EFSS platforms that provide secure file synchronization, real-time collaboration, and integration with existing IT infrastructure.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3617 

Market Keyplayers:

Acronis (Acronis Files, Acronis Cyber Protect Cloud)

SugarSync Inc. (SugarSync for Business, SugarSync Personal Cloud)

Egnyte Inc. (Egnyte Connect, Egnyte Protect)

Citrix Systems Inc. (Citrix ShareFile, Citrix Content Collaboration)

VMware Inc. (Workspace ONE, AirWatch)

Google LLC (Google Drive, Google Workspace)

Dropbox Inc. (Dropbox Business, Dropbox Advanced)

Thru (Thru Enterprise File Transfer, Thru Drive)

Syncplicity LLC (Syncplicity by Axway, SyncDrive)

Accellion Inc. (Kiteworks, Accellion File Transfer Appliance)

Box Inc. (Box Business, Box Enterprise)

Microsoft Corporation (OneDrive for Business, SharePoint)

BlackBerry Ltd. (BlackBerry Workspaces, BlackBerry UEM)

OpenText Corporation (OpenText Core Share, OpenText Hightail)

Intralinks (Intralinks VIA, Intralinks Dealspace)

Citrix Systems Inc. (Citrix Content Collaboration, ShareFile)

Tresorit (Tresorit Business, Tresorit Enterprise)

OwnCloud (OwnCloud Enterprise, OwnCloud Online)

Sync.com Inc. (Sync for Teams, Sync Business)

pCloud AG (pCloud for Business, pCloud Drive)

Market Analysis The EFSS market is shaped by technological advancements, a surge in mobile device usage, and a heightened focus on data privacy. The competitive landscape features a mix of established tech giants and emerging startups offering innovative, compliance-focused solutions. Industry verticals such as healthcare, banking, manufacturing, and legal services are key adopters, leveraging EFSS to manage sensitive data across decentralized workforces. Integration capabilities with enterprise applications like CRM and ERP systems have become critical in purchasing decisions, influencing market dynamics.

Market Trends

Rising adoption of hybrid cloud EFSS platforms to balance security and scalability

Increased demand for AI-powered automation in document classification and access control

Integration with productivity suites (e.g., Microsoft 365, Google Workspace) for seamless workflows

Focus on end-to-end encryption and zero-trust architecture for enhanced security

Growing preference for user-centric design and intuitive mobile interfaces

Expansion of EFSS offerings into vertical-specific solutions, including compliance toolkits

Accelerated use of APIs and SDKs to enable customization and third-party integration

Surge in demand for audit trails and analytics for compliance and governance

Market Scope The EFSS market encompasses software solutions designed to enable secure sharing, access, and collaboration on files across organizational boundaries. It caters to enterprises of varying scales and industries seeking data mobility, regulatory compliance, and workforce agility. The scope spans on-premises, cloud-based, and hybrid deployment models, addressing the needs of regulated environments as well as agile startups. Providers offer a range of value-added services including content lifecycle management, version control, remote wipe, and advanced threat protection.

Market Forecast The EFSS market is poised for sustained expansion as digital transformation accelerates across industries. With enterprises prioritizing collaboration without compromising security, EFSS platforms are expected to evolve into intelligent, integrated solutions. Growth will be driven by increasing demand for cloud-native tools, regulatory mandates, and the proliferation of distributed teams. Vendors that invest in AI integration, seamless user experience, and compliance-ready features will likely gain competitive advantage in the evolving landscape. Furthermore, strategic partnerships and mergers may reshape the market, fostering innovation and expanding global reach.

Access Complete Report: https://www.snsinsider.com/reports/enterprise-file-synchronization-and-sharing-market-3617 

Conclusion The Enterprise File Synchronization and Sharing market represents more than just a shift in how files are stored—it is a testament to the future of connected, secure, and collaborative enterprises. As the digital economy continues to evolve, EFSS will play a pivotal role in enabling organizations to operate efficiently, protect sensitive data, and empower a decentralized workforce. By embracing advanced EFSS technologies, businesses can unlock new dimensions of productivity, agility, and resilience in a world that demands seamless connectivity and robust security.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[deltasaas]

A Deep Dive into Hosting Software: Powering Your Online Presence

In the digital age, hosting software is the unsung hero behind every website, application, and online service you use. Whether it’s a personal blog, an e-commerce store, or a corporate platform, hosting software ensures that content is stored, managed, and delivered to users across the globe. But what exactly is hosting software, how does it work, and why is it critical for an online presence? This guide explores the essentials of hosting software, its types, benefits, and tips for choosing the right solution, followed by an FAQ to answer common questions.

What Is Hosting Software?

Hosting software refers to the tools, platforms, or applications that manage the infrastructure and services needed to store and serve digital content over the internet. At its core, it’s the software layer that runs on hosting servers—powerful computers designed to store websites, databases, and applications—and makes them accessible to users via web browsers or APIs. It can include web server software (e.g., Apache, Nginx), control panels (e.g., cPanel), or even full hosting management platforms provided by companies like Bluehost or SiteGround.

Unlike end-user applications, hosting software operates behind the scenes, handling tasks like processing HTTP requests, managing storage, ensuring security, and optimizing performance. It’s the bridge between your digital content and the people who access it, making it indispensable for anyone with an online footprint.

How Does Hosting Software Work?

Hosting software functions by coordinating hardware, networks, and user requests. Here’s a basic rundown:

Storage: It organizes files—HTML, CSS, images, databases—on a server’s drives. Processing: When a user visits a site, the software (e.g., a web server like Apache) interprets the request, retrieves the necessary data, and sends it back as a webpage. Management: Tools like control panels allow users to configure domains, set up email, or install apps (e.g., WordPress) without deep technical knowledge. Optimization: It balances traffic, caches content, and ensures uptime, often using load balancers or content delivery networks (CDNs). For instance, when you type a URL into your browser, hosting software on the server processes that request, assembles the page, and delivers it to you—all in milliseconds.

Types of Hosting Software Hosting software comes in various forms, each tailored to specific needs:

Web Server Software: Programs like Apache, Nginx, or Microsoft IIS handle HTTP requests and serve websites. They’re the backbone of web hosting. Control Panels: Tools like cPanel, Plesk, or DirectAdmin provide user-friendly interfaces to manage hosting settings, domains, and databases. Content Management Systems (CMS): While not hosting software per se, platforms like WordPress rely on hosting software and often include built-in management features. Cloud Hosting Platforms: Services like AWS, Google Cloud, or DigitalOcean offer hosting software as part of scalable, cloud-based solutions. Virtualization Software: Tools like VMware or Virtualmin enable virtual private servers (VPS) within shared hosting environments. These types can overlap—e.g., a VPS might run Nginx with cPanel—offering flexibility for different hosting setups.

Applications of Hosting Software Hosting software powers a wide range of online activities:

Websites: From personal blogs to corporate sites, it stores and serves content to visitors. E-commerce: Platforms like Shopify or WooCommerce depend on hosting software for secure transactions and uptime. Applications: Web apps, from productivity tools to games, run on hosting software in the cloud or dedicated servers. Email Services: Hosting software manages email servers for businesses or individuals. Development: Developers use hosting software to test and deploy projects before going live. Its versatility makes it critical for anyone looking to establish or maintain an online presence.

Benefits of Hosting Software Reliability: Ensures websites and apps are available 24/7 with minimal downtime. Scalability: Easily upgrades resources to handle growing traffic or data needs. Ease of Use: Control panels simplify complex tasks, even for non-technical users. Security: Features like SSL support and firewalls protect against threats. Cost-Effectiveness: Shared hosting options make it affordable for small projects. Popular Hosting Software Options Apache: Open-source web server software, widely used for its flexibility and reliability. Nginx: Known for high performance and efficiency, ideal for busy sites. cPanel: A leading control panel for managing hosting accounts with an intuitive interface. Plesk: A versatile panel supporting multiple server types and automation. Cloudways: A managed cloud hosting platform simplifying AWS, Google Cloud, or DigitalOcean use. LiteSpeed: A high-speed web server alternative to Apache, often paired with hosting plans. These options range from free, open-source tools to premium, managed solutions.

How to Choose the Right Hosting Software Picking the best hosting software depends on your project:

Purpose: A simple blog might need Apache on shared hosting, while an app might require cloud-based Nginx. Traffic: Low-traffic sites can use basic setups; high-traffic ones need robust software like LiteSpeed. Technical Skill: Beginners favor cPanel’s simplicity; experts might prefer manual Nginx configuration. Budget: Free tools like Apache suit small budgets, while managed platforms like Cloudways cost more. Support: Look for software with active communities or provider-backed assistance. Testing via free trials or low-cost plans can help you find the right fit.

The Future of Hosting Software Hosting software is evolving with trends like:

Cloud Integration: More tools leverage scalable, distributed systems. Automation: AI and scripts streamline server management. Green Hosting: Energy-efficient software reduces environmental impact. Edge Hosting: Processing moves closer to users for speed. As demand for speed, security, and sustainability grows, hosting software will adapt to meet these challenges.

Conclusion

Hosting software is the foundation of the online world, enabling everything from simple sites to complex applications with ease and efficiency. Whether you’re launching a hobby project or scaling a business, understanding and choosing the right hosting software can make or break your success. By exploring its types and benefits, you can confidently build a digital presence that stands the test of time.

FAQ: Hosting Software

What is hosting software?

A: It’s software that manages servers to store, process, and deliver digital content—like websites or apps—over the internet.

How does hosting software differ from regular software?

A: Regular software runs on your device; hosting software operates on remote servers to serve content to users online.

Q3: What are common types of hosting software?

A: Web servers (Apache, Nginx), control panels (cPanel, Plesk), and cloud platforms (AWS, Cloudways) are the main categories.

Who needs hosting software?

A: Anyone with a website, app, or online service—bloggers, businesses, developers—relies on it to stay accessible.

Is hosting software secure?

A: Yes, with features like SSL and firewalls, but security also depends on updates and provider practices.

Can I use hosting software without a server?

A: No, it requires server hardware, though providers often bundle it with hosting plans.

How much does hosting software cost?

A: Open-source options like Apache are free; managed tools or plans (e.g., cPanel hosting) range from $5-$50/month or more.

What’s the best hosting software for beginners?

A: cPanel paired with a shared hosting plan (e.g., from Bluehost) is user-friendly and widely supported.

Does hosting software affect website speed?

A: Yes, efficient software like Nginx or LiteSpeed can significantly boost performance over slower alternatives.

What’s the future of hosting software?

A: Expect more cloud-based, automated, and eco-friendly solutions as technology advances.

[hawkstack]

Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform

As enterprises modernize their IT infrastructure, migrating legacy workloads from traditional hypervisors to cloud-native platforms becomes essential. Red Hat OpenShift Virtualization offers a powerful solution by allowing organizations to run and manage virtual machines (VMs) alongside containers on the same OpenShift cluster. To streamline and scale this migration process, Red Hat Ansible Automation Platform proves to be an invaluable tool.

In this post, we’ll explore how to leverage Ansible Automation Platform to automate the migration of VMs to OpenShift Virtualization, reducing manual effort, minimizing downtime, and increasing consistency across environments.

🧩 What is OpenShift Virtualization?

OpenShift Virtualization, built on KubeVirt, extends Red Hat OpenShift to run traditional VM workloads alongside containerized applications. This allows for:

Unified management of VMs and containers

Seamless integration with CI/CD pipelines

A single pane of glass for observability, networking, and security

🤖 Why Use Ansible for VM Migration?

Manually migrating virtual machines is not only tedious but also error-prone. Ansible Automation Platform enables:

Repeatable Playbooks for consistent VM conversion and deployment

Inventory management of existing VMs and target OpenShift clusters

Idempotent operations that reduce risk and human error

Event-driven automation with Red Hat Event-Driven Ansible (EDA)

🛠️ High-Level Workflow of VM Migration with Ansible

Discovery & Assessment

Identify source VMs using dynamic inventory (e.g., VMware, RHV, KVM)

Collect system configurations and workload details

Use Red Hat Migration Toolkit for Virtualization (MTV) if applicable

Pre-Migration Automation

Validate OpenShift Virtualization setup

Configure storage (e.g., Ceph, CSI volumes)

Prepare networking (e.g., Multus, bridges)

VM Export & Conversion

Use Ansible modules to:

Export VM disks (e.g., via ovftool, virt-v2v, or qemu-img)

Convert formats (e.g., VMDK to QCOW2)

VM Import into OpenShift

Create VM manifests in OpenShift (YAML/CRDs)

Automate virtctl commands or use MTV APIs

Attach appropriate storage and networks

Post-Migration Tasks

Run automated smoke tests

Update DNS or service endpoints

Decommission old VMs (if desired)

🧪 Sample Ansible Playbook Snippet

yaml

- name: Create OpenShift VirtualMachine from template hosts: localhost tasks: - name: Create VM from YAML definition k8s: state: present definition: "{{ lookup('file', 'vm-definition.yaml') }}"

You can integrate this into an Ansible Workflow Job Template in Red Hat Ansible Automation Controller, and trigger it via webhooks or Service Catalogs.

💡 Best Practices

Test in Staging: Simulate migrations in non-prod environments before rolling out to production.

Incremental Migration: Start with low-impact workloads to refine your process.

Logging and Auditing: Use Ansible Tower logs and OpenShift audit logs to monitor changes.

Rollback Plans: Always have a plan to revert if something fails.

🎯 Benefits of Using Ansible + OpenShift Virtualization

Centralized automation of hybrid workloads

Faster time-to-value with reusable playbooks

Simplified management for IT Ops and DevOps teams

Integration with existing CI/CD and ITSM platforms

🔚 Final Thoughts

Migrating VMs to OpenShift Virtualization doesn't have to be complex. By combining the power of Red Hat OpenShift with the flexibility of Ansible Automation Platform, organizations can modernize their workloads efficiently and with confidence.

At HawkStack Technologies, we help enterprises design, automate, and execute seamless VM migration strategies using Red Hat technologies. Contact us to learn how we can support your modernization journey.

📞 Need help with automation or OpenShift Virtualization? Let our certified experts at HawkStack guide your migration from legacy systems to a modern cloud-native environment.

For more details www.hawkstack.com

[differenttimemachinecrusade]

Serverless Architecture Market Expansion: Industry Size, Share & Analysis 2032

The Serverless Architecture Market was valued at USD 10.21 billion in 2023 and is expected to reach USD 78.12 billion by 2032, growing at a CAGR of 25.42% from 2024-2032

The Serverless Architecture market is experiencing rapid growth as businesses seek scalable and cost-effective cloud solutions. Organizations are moving away from traditional infrastructure, adopting serverless computing to enhance agility and reduce operational overhead. This shift is driven by the need for faster deployment, automatic scaling, and optimized resource utilization.

The Serverless Architecture market continues to expand as enterprises embrace cloud-native technologies to streamline application development. Serverless computing enables developers to focus on writing code without managing servers, leading to increased efficiency and reduced costs. The rise of microservices, API-driven applications, and event-driven computing is further fueling the adoption of serverless frameworks.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3473 

Market Keyplayers:

Alibaba Group (Alibaba Cloud Function Compute, Alibaba Cloud API Gateway)

Cloudflare, Inc. (Cloudflare Workers, Cloudflare Pages)

Google (Google Cloud Functions, Google Cloud Run)

IBM Corporation (IBM Cloud Functions, IBM Cloud Foundry)

Microsoft (Azure Functions, Azure Logic Apps)

NTT DATA Group Corporation (NTT Smart Data Platform, NTT Cloud Functions)

Oracle (Oracle Functions, Oracle API Gateway)

TIBCO Software (Cloud Software Group, Inc.) (TIBCO Cloud Integration, TIBCO Cloud Mashery)

Amazon Web Services (AWS Lambda, Amazon API Gateway)

Rackspace Inc (Rackspace Serverless, Rackspace Cloud)

Salesforce.com, Inc. (Salesforce Functions, Salesforce Heroku)

Platform9 Systems, Inc. (Platform9 Serverless Kubernetes, Platform9 Cloud Managed Kubernetes)

OpenStack Foundation (OpenStack Functions, OpenStack Heat)

PubNub, Inc. (PubNub Functions, PubNub Real-time Messaging)

Spotinst Ltd. (Spotinst Functions, Spotinst Kubernetes)

5 Networks, Inc. (5G Serverless, 5G Edge Functions)

DigitalOcean, Inc. (DigitalOcean Functions, DigitalOcean App Platform)

Kong Inc. (Kong Gateway, Kong Enterprise)

Back4App (Back4App Functions, Back4App Serverless)

Netlify, Inc. (Netlify Functions, Netlify Edge Functions)

Vercel Inc. (Vercel Functions, Vercel Edge Functions)

Cisco Systems, Inc. (Cisco Cloud Functions, Cisco API Management)

VMware, Inc. (VMware Tanzu Application Service, VMware Cloud Functions)

Market Trends Driving Growth

1. Increased Adoption of Function-as-a-Service (FaaS)

FaaS platforms like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to execute code in response to events, eliminating the need for infrastructure management.

2. Cost-Effective and Scalable Solutions

Serverless computing follows a pay-as-you-go model, reducing costs by allocating resources only when needed. This dynamic scalability benefits businesses of all sizes.

3. Growth in Edge Computing and IoT

The integration of serverless computing with edge computing and IoT is revolutionizing real-time data processing, enabling faster response times and lower latency.

4. Expansion of Serverless Databases

Cloud providers are enhancing serverless database solutions like AWS Aurora Serverless and Google Firestore, offering seamless scaling without manual intervention.

5. Security and Compliance Enhancements

As serverless adoption grows, cloud providers are strengthening security measures, introducing identity and access management (IAM), encryption, and automated compliance monitoring.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3473 

Market Segmentation:

By Services

Automation & Integration

API Management

Monitoring

Security

Support and Maintenance

Training and Consulting

Others

By Deployment

Public Cloud

Private Cloud

Hybrid Cloud

By Organization Size

Large Enterprise

SME

By Vertical

IT and Telecom

Healthcare

Retail and E-commerce

Banking, Financial Services, and Insurance (BFSI)

Government

Education

Others

Market Analysis and Current Landscape

Cloud-Native Adoption: Businesses are transitioning from monolithic applications to microservices and event-driven architectures.

DevOps and Agile Integration: Serverless computing aligns with DevOps practices, enabling continuous integration and deployment (CI/CD).

Enterprise Demand for Automation: Automated scaling and event-driven workflows improve operational efficiency.

Vendor Innovation: Major cloud providers continue to enhance serverless capabilities with AI, analytics, and improved developer tools.

While serverless computing offers numerous advantages, challenges such as vendor lock-in, cold start latency, and debugging complexities remain. However, advancements in multi-cloud strategies and open-source serverless frameworks are helping businesses overcome these limitations.

Future Prospects: What Lies Ahead?

1. AI-Powered Serverless Solutions

Artificial Intelligence (AI) and Machine Learning (ML) will play a crucial role in optimizing serverless workloads, enabling intelligent automation and predictive scaling.

2. Multi-Cloud and Hybrid Serverless Adoption

Organizations will increasingly adopt multi-cloud strategies, leveraging serverless solutions across multiple cloud providers for flexibility and risk mitigation.

3. Enhanced Developer Experience with Low-Code/No-Code Platforms

Serverless computing will integrate with low-code and no-code platforms, simplifying application development for non-technical users.

4. Serverless Security Innovations

New security frameworks will emerge, focusing on identity-based access controls, runtime security, and proactive threat detection.

5. Growth of Serverless AI and Data Processing

The combination of serverless architecture and AI will revolutionize big data analytics, automating complex computations and decision-making processes.

Access Complete Report: https://www.snsinsider.com/reports/serverless-architecture-market-3473 

Conclusion

The Serverless Architecture market is on a strong growth trajectory, driven by its cost-efficiency, scalability, and ability to simplify cloud development. As businesses continue to prioritize agility and innovation, serverless computing will play a vital role in shaping the future of cloud applications. Organizations that embrace serverless technologies will gain a competitive edge by enhancing performance, reducing costs, and accelerating digital transformation.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[vndta-vps]

Cấu trúc của VPS Storage – Cách hoạt động và ưu điểm nổi bật

VPS Storage là một loại máy chủ ảo (VPS) chuyên dụng cho mục đích lưu trữ dữ liệu với dung lượng lớn, tốc độ truy xuất nhanh và khả năng bảo mật cao. Khác với VPS thông thường, VPS Storage tối ưu về phần cứng và phần mềm để đảm bảo việc lưu trữ, truy xuất dữ liệu hiệu quả và an toàn.

Cấu trúc của VPS Storage

VPS Storage có cấu trúc đặc biệt với các thành phần chính như sau:

Hệ thống phần cứng

Ổ cứng (Storage Drives): VPS Storage thường sử dụng ổ cứng SSD hoặc NVMe để tăng tốc độ truy xuất dữ liệu.

Bộ vi xử lý (CPU): Cung cấp khả năng xử lý dữ liệu mạnh mẽ, đặc biệt quan trọng đối với các tác vụ lưu trữ cần hiệu suất cao.

Bộ nhớ RAM: Ảnh hưởng trực tiếp đến tốc độ truy xuất dữ liệu và hiệu suất tổng thể của VPS Storage.

Hệ thống RAID: Giúp bảo vệ dữ liệu trước rủi ro mất mát nhờ khả năng nhân bản dữ liệu trên nhiều ổ đĩa.

Hệ thống phần mềm

Hệ điều hành: VPS Storage thường chạy trên các hệ điều hành phổ biến như Linux (Ubuntu, CentOS) hoặc Windows Server.

Hệ thống quản lý tệp tin: Sử dụng các hệ thống tệp tin tối ưu như ZFS, EXT4 hoặc XFS để tăng hiệu suất lưu trữ.

Công nghệ ảo hóa: OpenVZ, KVM hoặc VMware giúp tạo ra môi trường VPS ổn định và hiệu quả.

Công cụ bảo mật: Tích hợp các giải pháp bảo mật như firewall, chống DDoS và mã hóa dữ liệu.

Kết nối mạng và băng thông

Băng thông rộng: Giúp truyền tải dữ liệu nhanh chóng và mượt mà.

Đường truyền ổn định: Hệ thống mạng được tối ưu để giảm độ trễ và tăng tốc độ truy xuất dữ liệu.

IP riêng (Dedicated IP): Đảm bảo kết nối bảo mật và ổn định cho từng VPS Storage.

Cách hoạt động của VPS Storage

VPS Storage hoạt động theo mô hình lưu trữ phân tán, cho phép người dùng quản lý dữ liệu linh hoạt và an toàn. Cụ thể, quá trình hoạt động bao gồm các bước:

Lưu trữ dữ liệu: Người dùng tải dữ liệu lên VPS thông qua giao thức FTP, SFTP hoặc API.

Quản lý dữ liệu: Hệ thống quản lý tệp tin tổ chức dữ liệu theo cấu trúc logic để dễ dàng truy cập.

Sao lưu và bảo vệ dữ liệu: VPS Storage tích hợp công nghệ RAID và backup tự động để giảm rủi ro mất mát dữ liệu.

Truy xuất dữ liệu: Người dùng có thể truy xuất dữ liệu từ xa thông qua trình quản lý tệp tin hoặc phần mềm hỗ trợ.

Bảo mật và giám sát: Hệ thống liên tục theo dõi để phát hiện các mối đe dọa bảo mật và đảm bảo hiệu suất ổn định.

Ưu điểm nổi bật của VPS Storage

Tốc độ truy xuất nhanh: Với ổ SSD/NVMe và băng thông cao, VPS Storage cho phép truy xuất dữ liệu nhanh chóng, giảm thiểu độ trễ.

Dung lượng lưu trữ lớn: VPS Storage cung cấp dung lượng linh hoạt, phù hợp với nhiều nhu cầu từ cá nhân đến doanh nghiệp.

Độ tin cậy cao: Hệ thống RAID và cơ chế backup giúp bảo vệ dữ liệu trước các sự cố phần cứng.

Bảo mật dữ liệu mạnh mẽ: Tích hợp các công nghệ mã hóa, firewall và chống DDoS giúp bảo vệ dữ liệu an toàn trước các cuộc tấn công.

Khả năng mở rộng linh hoạt: Người dùng có thể dễ dàng nâng cấp tài nguyên theo nhu cầu sử dụng mà không ảnh hưởng đến hệ thống.

Tiết kiệm chi phí: So với việc đầu tư máy chủ vật lý, VPS Storage giúp tiết kiệm chi phí mà vẫn đảm bảo hiệu suất cao.

Kết luận

VPS Storage là giải pháp lưu trữ mạnh mẽ, phù hợp với doanh nghiệp và cá nhân cần không gian lưu trữ lớn, tốc độ cao và bảo mật tốt. Với cấu trúc linh hoạt, khả năng mở rộng và bảo vệ dữ liệu tối ưu, VPS Storage đang trở thành xu hướng trong lĩnh vực lưu trữ đám mây. Nếu bạn đang tìm kiếm một giải pháp lưu trữ đáng tin cậy, VPS Storage chắc chắn là lựa chọn không thể bỏ qua.

Tham khảo thêm: https://vndata.vn/vps-storage/

[thuecloud1]

Cloud VPS tại FPT Fornix? Các lợi ích mang lại khi sử dụng VPS tại FPT Hà Nội

FPT Fornix là gì?

FPT Fornix Data Center là trung tâm dữ liệu của Tập đoàn FPT, được xây dựng theo ti��u chuẩn quốc tế (Uptime Tier III) đảm bảo dịch vụ lưu trữ và xử lý dữ liệu an toàn, ổn định.

Cloud VPS tại trung tâm dữ liệu FPT Hà Nội có ưu điểm gì?

Được xây dựng với quy mô lớn, tiệu chuẩn cao các dịch vụ VPS Việt Nam tai trung tâm dữ liệu này sử dụng các dòng máy chủ cao cấp từ các hãng thương hiệu cao cấp như IBM, HP, Dell.. Sử dụng Chip AMD EPYC, Intel các thế hệ như: Intel Xeon Platinum, Intel Xeon Gold, Intel Core..

Cloud VPS Hosting

VPS tại FPT Fornix có khả năng cung cấp máy chủ có cấu hình mạnh, có thể tăng/giảm tài nguyên dễ dàng, đáp ứng tối đa nhu cầu lưu trữ đa dạng các loại website có lượng truy cập lớn như: website bán hàng, website thương mại điện tử, các diễn đàn lớn,..

Phục hồi lại dữ liệu đơn giản nếu gặp sự cố hoặc tấn công

Hệ thống được triển khai trên ảo hóa cao cấp, tất cả VPS đều được chạy trên nhiều host có thể di duyển qua lại khi có sử cố với mô hình HA (High availability).  Sử dụng tiêu chuẩn mã hóa tiên tiến như AES-256 để bảo vệ dữ liệu cả khi lưu trữ (data at rest) và khi truyền tải (data in transit). 

Backup hệ thống sao lưu tự động và các công cụ giám sát an ninh 24/7 đảm bảo rằng dữ liệu có thể được phục hồi nhanh chóng nếu xảy ra sự cố. Công nghệ ảo hóa tiên tiến đảm bảo cách ly giữa các VPS, giúp giảm thiểu rủi ro xâm nhập từ các môi trường khác.

Đổi IP VPS tại FPT Fornix

Các VPS tại FPT Fornix sử dụng tính năng “floating IP” (hoặc “elastic IP”) dựa trên công nghệ ảo hóa mạng cho phép đổi IP mà không làm gián đoạn hoạt động của hệ thống như:

Floating/Elastic IP: Đây là địa chỉ IP ảo có thể được gán cho một VPS và sau đó chuyển đổi sang một máy chủ khác khi cần. Ví dụ, AWS Elastic IP cho phép bạn gán và chuyển đổi địa chỉ IP tĩnh giữa các instance.

Quản lý IP ảo thông qua cấu hình mạng ảo: Hệ thống mạng của các nhà cung cấp VPS sử dụng các công nghệ ảo hóa như KVM, Xen hay VMware cho phép cấu hình lại địa chỉ IP thông qua giao diện quản trị hoặc API.

DHCP và NAT: Một số hệ thống có thể tái cấp phát địa chỉ IP thông qua cơ chế DHCP hoặc sử dụng NAT để thay đổi địa chỉ IP công cộng mà VPS sử dụng.

Nâng cấp tài nguyên Cloud VPS không gián đoạn hệ thống

Sử dụng công nghệ hot plug/hot add và live migration trong môi trường ảo hóa. Cho phép thêm tài nguyên CPU, RAM hoặc ổ đĩa lưu trữ vào VPS đang hoạt động mà không cần tắt hệ thống, đảm bảo người dùng không bị gián đoạn trong quá trình nâng cấp. Các nền tảng ảo hóa hiện đại như KVM, Xen, VMware thường tích hợp các tính năng này để triển khai với VPS sử dụng CPU Xeon Platinum.

Reset VPS từ trang quản trị cá nhân

Người dùng sau khi tạo VPS Việt Nam tại FPT Fornix được toàn quyền quản trị bao gồm việc Reset hệ thống khi cần. VPS được sử dụng liên tục trong một thời gian dài, các tiến trình nền, cache, và các tài nguyên hệ thống có thể dần bị “bí bách” do Rò rỉ bộ nhớ ứng dụng hoặc tiến trình có thể không giải phóng bộ nhớ sau khi sử dụng, dẫn đến giảm hiệu năng.

Tích tụ tiến trình không cần thiết: Nhiều tiến trình nền chạy liên tục mà không được dọn dẹp sẽ làm hệ thống chậm lại.

Cache và tạm thời: Các file cache và dữ liệu tạm thời tích lũy theo thời gian có thể làm chậm quá trình xử lý.

Khi reset (khởi động lại) VPS, hệ thống được làm mới hoàn toàn bộ nhớ được giải phóng, cache và các tiến trình không cần thiết được dọn dẹp, từ đó hiệu năng tạm thời được cải thiện và VPS chạy nhanh hơn.

Đổi hệ điều hành không giới hạn cho máy chủ VPS

FPT Fonix cung cấp dịch vụ Cloud VPS với khả năng thay đổi hệ điều hành không giới hạn. Người dùng có thể linh hoạt cài đặt và quản lý các hệ điều hành như Linux, Windows và các phiên bản khác nhau mà không gặp phải bất kỳ hạn chế nào. Giải pháp này giúp tối ưu hóa chi phí, cải thiện hiệu năng và đảm bảo trải nghiệm sử dụng mượt mà cho các ứng dụng doanh nghiệp.

Gia hạn dịch vụ Cloud VPS tại FPT Fornix

VPS tại FPT Fonix cho phép người dùng gia hạn dịch vụ và nhận ưu đãi lên đến 20% khi sử dụng dịch vụ trong thời gian dài. Ngoài ra, hệ thống còn tích hợp các tính năng ưu việt nhằm hỗ trợ khách hàng:

Thông báo qua email trước 3 ngày: Hệ thống tự động gửi mail nhắc nhở khách hàng trước 3 ngày hạn sử dụng, giúp bạn có thời gian sắp xếp và quyết định gia hạn dịch vụ kịp thời.

Ưu đãi 20% cho thanh toán dài hạn: Khi bạn lựa chọn thanh toán dài hạn, VPS sẽ được áp dụng mức giảm giá ưu đãi lên đến 20%, tối ưu hóa chi phí vận hành cho doanh nghiệp.

Khả năng phục hồi dữ liệu sau quá hạn: Nếu quá hạn 3 ngày, khách hàng vẫn có thể khôi phục dữ liệu bằng cách liên hệ trực tiếp với nhà cung cấp, đảm bảo an toàn và liên tục cho hệ thống của bạn.