Why you should consider moving your applications to Microsoft Azure

Migrating applications to Microsoft Azure offers a range of benefits that can enhance performance, scalability, and overall efficiency. Here are several compelling reasons to consider making the move:

Scalability and Flexibility

  • On-Demand Resources: Azure allows you to scale your applications up or down based on demand. This flexibility ensures you only pay for what you use, making it easier to handle traffic spikes without overprovisioning.

Global Reach

  • Multiple Data Centers: Azure has a vast network of data centers around the world, enabling you to deploy applications closer to your users. This reduces latency and improves the overall user experience.

Enhanced Security

  • Robust Security Features: Azure provides a comprehensive set of security tools and features, including encryption, identity management, and threat detection. Microsoft’s security expertise helps safeguard your applications and data.

Integration with Existing Tools

  • Seamless Integration: Azure integrates well with Microsoft products and services, such as Office 365, Dynamics 365, and Power BI. This compatibility enhances productivity and streamlines workflows.

Cost Management

  • Flexible Pricing Models: Azure offers various pricing options, including pay-as-you-go and reserved instances, allowing you to choose a model that fits your budget. This helps manage costs while ensuring access to powerful computing resources.

Support for Multiple Programming Languages and Frameworks

  • Diverse Development Environment: Azure supports a wide range of programming languages, frameworks, and platforms, making it suitable for various development needs. This allows developers to use the tools they’re most comfortable with.

Advanced Analytics and AI Capabilities

  • Built-In Analytics Tools: Azure provides access to powerful analytics and artificial intelligence services, enabling you to gain insights from your data and build intelligent applications without extensive infrastructure.

Reliable Backup and Disaster Recovery

  • High Availability: Azure offers built-in backup and disaster recovery solutions to ensure business continuity. This reduces the risk of data loss and downtime, providing peace of mind for critical applications.

DevOps and Continuous Integration/Continuous Deployment (CI/CD)

  • Streamlined Development Process: Azure supports DevOps practices with tools for automated testing, continuous integration, and deployment. This accelerates the development cycle and improves collaboration between development and operations teams.

Sustainability and Compliance

  • Environmentally Friendly: Microsoft is committed to sustainability, with initiatives to reduce carbon emissions and operate data centers using renewable energy. Azure also complies with various regulatory standards, ensuring your applications meet necessary legal requirements.

Conclusion

Migrating your applications to Microsoft Azure can unlock significant benefits, from enhanced scalability and security to advanced analytics and cost management. By leveraging Azure’s comprehensive cloud capabilities, your organization can become more agile, improve operational efficiency, and focus on innovation while Microsoft manages the underlying infrastructure. As the cloud landscape continues to evolve, moving to Azure can position your business for long-term success.

For more information on Microsoft Azure, Contact SNP Technologies here.

How DevOps in the Cloud Improves Application Delivery and Efficiency

DevOps is a cultural shift and a healthy collaboration between development and operations. There is no single DevOps tool, rather a set consisting of multiple tools that range from version control of source code to application life cycle management. With DevOps, siloed roles like development, IT operations, quality engineering, and security coordinate and collaborate seamlessly.Some of the ways DevOps has proven to increase application delivery and efficiency for our customers include:

Dev & Ops Collaboration:

Raise efficiency, quality, and speed through better development and operations collaboration.

Centralized Source Code Management:

Version control of application source code and multiple team members to work on application code development parallelly, branching strategies improve the team development efforts

Rapid Delivery:

Move to continuous integration (CI), and continuous delivery (CD) with the test, release, and deployment automation process.

Automate Infrastructure: 

Automate as many of your processes as you can through virtualization, and configuration management to add agility to your infrastructure.

Microservices & Containerization: 

Develop and change applications faster and easier by making development, test and production environments more consistent.

Cloud Migration: 

Migrate and deliver applications in the cloud with scalability, resilience, and security.

Visibility

Manage, track, and report end-to-end software delivery for all stakeholders.

Flexibility

Get access to existing toolsets and processes, along with future technologies to help you automate and orchestrate activities.

Security

Get a centralized repository for all security, standards, and compliance policies spanning across functions, tools, and platforms.

Unlimited Scalability

Scale as your business grows and get a single source for sharing control and visibility.

Extensibility

DevOps offers strong integration capabilities that allow easy integration between tools and automation platforms.
For more information on how DevOps can help improve your business’ performance, Contact SNP Technologies here.

How DevOps in the Cloud Improves Application Delivery and Efficiency

Azure Database for MariaDB, MySQL and PostgreSQL – A Fully Managed Service

SNP Technologies brings the power and ease of OpenSource Platform as a Service (PaaS) to your data workloads

Azure Database for MariaDB, MySQL and PostgreSQL services offer fully managed database services built on the proven relational database services foundation which also delivers Azure SQL Database to millions of databases worldwide. Users can provision a new instance in minutes and quickly scale the compute power needed online to respond to their dynamic business needs.

Quickly respond to demand with built-in high availability and scalability, and high-security features to keep your data safe and compliant. Users can provision a new instance in minutes and quickly scale the compute power needed online to respond to their dynamic business needs.

Each of these databases as a service comes with automated patching, the highest level of security & protection, high availability, and is fully supported by Microsoft from the all the way through database engine.

Key Features Include:

  • Built-in high availability
  • Dynamic scaling
  • Meet on-demand fluctuations in performance demand
  • MySQL 5.6 – 8.0 supported version
  • PostgreSQL 9.5-11 supported version
  • MariaDB 10.2-10.3 supported version
  • Limit access by IP Address
  • VNet integration supported
  • Data-in replication for hybrid data and multi-cloud synchronization
  • MySQL Workbench compatible
  • SSL connections supported
  • Server monitoring

Business Benefits:

  • Eliminate hardware costs and reduce administrative costs.
  • Pay-as-you-go with options to scale up or out for greater power with zero interruption.
  • Enterprise-ready open-source database engines.
  • Native integration with Azure PaaS.
  • Meets high availability requirements with 99.99% uptime SLA from Microsoft.

For more information on SNP’s Azure Database for MariaDB, MySQL and PostgreSQL – Fully Managed Service, contact us here.

Best Practices for Managing a Hybrid Cloud Environment

Perform a Data Center Assessment

  • Inventory and Classification: Begin by conducting a detailed inventory of existing workloads, understanding their dependencies, and classifying them based on their business criticality.
  • Rationalization: Identify which workloads are suitable for migration to the cloud and which should remain on-premises. Consider factors like data sensitivity, compliance, and performance needs.

Establish Cloud Governance

  • Governance Framework: Set up a governance framework for managing workloads across private and public cloud environments. This framework should address operations, regulatory compliance, security, and the management of mission-critical applications.
  • Compliance & Regulatory Guidelines: Ensure that policies around data handling, privacy, and regulatory requirements are met, especially when migrating workloads to the cloud.

Create Stringent Guidelines and Policies

  • Documented Policies: Develop clear guidelines for how applications and data should be migrated to either private or public clouds. This includes performance expectations, compliance needs, geographic restrictions, and business-critical application requirements.

Reassess Resources and Capabilities

  • Resource Optimization: Hybrid cloud solutions provide new capabilities, so take this opportunity to assess how additional resources can address business needs without disrupting current operations. Look for efficiencies in both IT and business processes.

Monetization Opportunities

  • Cost Efficiency: The hybrid cloud can lead to significant cost savings. Transition from a traditional CAPEX model (Capital Expenditure) to an OPEX (Operational Expenditure) model by leveraging on-demand cloud capacity, reducing the need for hardware investments.
  • Evaluate Future Expenditures: As part of your hybrid strategy, analyze future capital expenditures and assess if cloud solutions can reduce or eliminate these costs.

Manpower Management

  • Skill Requirements: A hybrid cloud environment demands specialized expertise. Consider whether to train existing staff or engage with third-party service providers who have experience in managing complex cloud infrastructures.
  • Resource Planning: Ensure your team is equipped with the skills necessary to implement, manage, and maintain a hybrid cloud infrastructure, covering areas like compliance, storage, networking, and virtualization.

Implement Hybrid Cloud in Phases

  • Gradual Migration: Avoid rushing the transition to hybrid cloud. Start with migrating a few less-critical applications or workloads and scale up as you gain confidence in the system’s performance and security. This iterative approach helps build trust among stakeholders, including management and users.
  • Continuous Improvement: The flexible nature of hybrid cloud allows for ongoing refinement. Monitor performance and make adjustments as needed.

Conclusion

Designing and implementing a hybrid cloud strategy requires thoughtful planning, clear governance, resource optimization, and phased execution. By following these best practices, organizations can effectively combine the security and customization of private cloud with the scalability and flexibility of public cloud, ultimately driving both innovation and cost efficiency.

For more detailed guidance on how a hybrid cloud solution can benefit your business, contact an SNP representative.

Accelerate App Innovation with SNP’s Azure Kubernetes Services

Businesses know that shifting to the cloud can reduce costs, boost performance, and enable them to scale based on rising (or falling) traffic. However, reports show that in 2019, just 22% of enterprise primary workload deployments were on the public cloud. The top issue: complex legacy apps that are resistant to modernization.

Common issues facing IT teams today include:

  • Scalability: Existing DevOps infrastructure cannot scale to accommodate growth.
  • Infrastructure: VM software requires significant space, limiting potential ROI.
  • Potential for Modernization: Internal resources are not equipped to optimize a cloud solution.
  • Technical Debt: Technical debt drives incompatibility with cloud solutions.
  • Speed: Latency and time to deployment for new apps needs to be reduced.
  • Security: Need to improve control over security of app data.

Modern approaches to software development deliver value faster by breaking large applications into smaller containers. These containers make it easier for your team to split a large legacy app into smaller modules that can be built, tested, and deployed.

SNP’s Azure Kubernetes Services (AKS) is a fully managed Kubernetes solution that lets you:

  • Simplify Operations:  AKS simplifies operations and gives you access to improved security, lower costs, and the innovative potential of the cloud.
  • Innovation: Create new revenue opportunities; provide business partners and customers secure access to corporate resources; leverage data analytics and AI to advance business insights.
  • Security, Identity and Governance: Leverage Microsoft’s enterprise security by enabling user identity framework and governance solutions.
  • Business Continuity &  Disaster Recovery: Leverage Azure’s dynamic disaster recovery capabilities.
  • Increase speed-to-market: Accelerate efficiency in an agile application development cycle; enable improved management and scalability; enable rapid development of new business tools and applications.
  • Flexibility: Implement co-existence of on-premises and cloud solutions; provide support for customer’s open source development initiatives.

Why SNP?

We Deliver Expertise: SNP helps customers drive  organizational maturity through improved technical agility.

Get IT Done, Faster: We help you make the right decisions  and accelerate  implementation.

Exceptional Azure Know How: Together, SNP and Azure are  leveraging the power of the cloud for digital innovation.

Contact SNP Technologies here

Big Data and the Cloud

Big Data and the cloud have a synergistic relationship that enables organizations to harness vast amounts of data efficiently and effectively. Here’s an overview of how cloud computing supports big data initiatives and the benefits of integrating the two:

Understanding Big Data

Big Data refers to the large volumes of structured, semi-structured, and unstructured data that inundate businesses daily. The characteristics of big data are often summarized by the “Three Vs”:

  • Volume: The sheer amount of data generated and stored.
  • Velocity: The speed at which data is created, processed, and analyzed.
  • Variety: The different types of data (text, images, videos, etc.) coming from various sources.

The Role of Cloud Computing in Big Data

  1. Scalability
    • Elastic Resources: Cloud platforms allow organizations to scale their resources up or down based on data processing needs, ensuring they can handle large datasets without investing in physical infrastructure.
  2. Cost Efficiency
    • Pay-as-You-Go Model: Organizations can pay only for the resources they use, reducing costs associated with maintaining on-premises hardware and software.
  3. Data Storage and Management
    • Cloud Storage Solutions: Services like Amazon S3, Google Cloud Storage, and Azure Blob Storage provide scalable storage options for storing vast amounts of data reliably and securely.
  4. Processing Power
    • Distributed Computing: Cloud providers offer powerful processing capabilities, enabling the use of frameworks like Apache Hadoop and Apache Spark for distributed data processing across multiple nodes.
  5. Data Analytics and Insights
    • Integrated Tools: Cloud platforms often come with built-in analytics tools (e.g., Azure Synapse, Google BigQuery) that allow organizations to analyze data quickly and derive insights without complex setup.
  6. Real-Time Data Processing
    • Stream Processing Services: Cloud solutions like Azure Stream Analytics and AWS Kinesis enable real-time data ingestion and processing, allowing organizations to respond to data as it flows in.
  7. Collaboration and Accessibility
    • Global Access: Cloud-based solutions facilitate collaboration by allowing teams to access and analyze data from anywhere, promoting a more agile and responsive approach to data management.
  8. Security and Compliance
    • Advanced Security Measures: Cloud providers invest heavily in security technologies and compliance frameworks, offering features like encryption, access controls, and auditing to protect sensitive data.

Use Cases of Big Data in the Cloud

  • Customer Insights: Organizations can analyze large datasets from customer interactions to understand preferences, optimize marketing strategies, and enhance customer experiences.
  • Predictive Analytics: Companies can use historical data to forecast future trends, improve inventory management, and make data-driven decisions.
  • IoT Data Management: The cloud provides the infrastructure necessary to store and process data generated from Internet of Things (IoT) devices, enabling real-time analysis and insights.
  • Social Media Analytics: Businesses can leverage big data analytics to monitor social media trends, sentiment analysis, and engagement metrics to inform marketing strategies.

Conclusion

The combination of big data and cloud computing offers organizations the flexibility, scalability, and power needed to manage and analyze vast amounts of data effectively. By leveraging cloud-based tools and services, businesses can unlock valuable insights, enhance decision-making, and drive innovation, all while minimizing costs and complexity. Embracing this synergy is essential for any organization looking to thrive in today’s data-driven landscape.

For more information,  Contact Us Here

Cloud for Data Center Efficiency, Performance and Availability

Using cloud solutions to enhance data center efficiency, performance, and availability is a strategic approach that many organizations are adopting. Here’s an overview of how cloud technologies can optimize these aspects:

Efficiency

  • Resource Optimization:
    • Dynamic Scaling: Cloud services allow organizations to scale resources up or down based on demand, ensuring that they only pay for what they use. This prevents over-provisioning and underutilization of resources.
    • Automated Workloads: Automation tools in the cloud can manage routine tasks and workflows, freeing up IT staff to focus on more strategic initiatives.
  • Cost Management:
    • Pay-As-You-Go Model: Cloud providers offer flexible pricing structures, allowing organizations to reduce capital expenditures and convert fixed costs to variable costs, which can lead to significant savings.
  • Energy Efficiency:
    • Optimized Data Centers: Cloud providers often operate energy-efficient data centers, utilizing advanced cooling and power management technologies. Organizations can benefit from lower energy consumption by offloading workloads to the cloud.

Performance

  • High-Performance Computing (HPC):
    • Cloud platforms provide access to powerful computing resources that can handle intensive workloads, such as big data analytics, machine learning, and complex simulations, without the need for significant on-premises infrastructure.
  • Global Reach:
    • Content Delivery Networks (CDN): Cloud providers offer CDNs to deliver content quickly to users around the globe, improving the performance of web applications and services.
  • Load Balancing:
    • Cloud solutions can automatically distribute workloads across multiple servers, ensuring optimal performance and reducing the risk of bottlenecks during peak usage times.

Availability

  • Redundancy and Reliability:
    • Multi-Region Deployments: Cloud services allow for the deployment of applications and data across multiple geographic regions. This ensures high availability and disaster recovery, as services can continue operating even if one region experiences issues.
  • Automated Backups:
    • Cloud solutions often include automated backup features that regularly back up data, ensuring it can be restored quickly in case of loss or corruption.
  • Monitoring and Alerts:
    • Cloud providers offer comprehensive monitoring tools that provide insights into performance and availability. Organizations can set up alerts for any anomalies, enabling quick responses to potential issues.

Conclusion

Leveraging cloud technologies significantly enhances data center efficiency, performance, and availability. By optimizing resource utilization, reducing costs, and improving reliability, organizations can create a more agile and resilient IT environment. This not only helps in maintaining operational continuity but also positions businesses to innovate and respond swiftly to market demands. As organizations continue to embrace digital transformation, integrating cloud solutions into their data center strategy will be essential for success.

To learn more about how you can increase your data center efficiency, Contact SNP Technologies here

Managing Data Growth with Microsoft Azure

Managing data growth effectively is crucial for organizations as they seek to harness the power of data while ensuring scalability, security, and cost efficiency. Microsoft Azure offers a robust suite of tools and services to help organizations manage their growing data needs. Here’s how Azure can assist in managing data growth:

Scalable Storage Solutions

  • Azure Blob Storage: Ideal for storing unstructured data, such as images, videos, and backups. It offers scalable capacity and redundancy options, making it easy to store and retrieve large volumes of data.
  • Azure Data Lake Storage: Designed for big data analytics, it allows you to store both structured and unstructured data at scale, with hierarchical namespace capabilities for better organization.
  • Azure Files and Azure Disks: Provide managed file shares and persistent disk storage for applications running in Azure, allowing for easy scaling as data needs grow.

Data Management and Governance

  • Azure Data Catalog: A fully managed service that helps you discover, understand, and consume data sources. It provides metadata management and data governance capabilities to ensure data quality and compliance.
  • Azure Purview: A unified data governance solution that enables you to classify, manage, and govern data across your Azure environment, providing visibility into data assets and compliance.

Data Analytics and Insights

  • Azure Synapse Analytics: An integrated analytics service that combines big data and data warehousing. It enables you to analyze large volumes of data from various sources and gain insights through powerful querying capabilities.
  • Power BI: A business analytics tool that helps visualize data and share insights across your organization, making it easier to understand data growth trends and inform strategic decisions.

Data Protection and Security

  • Azure Backup: Provides a reliable and scalable backup solution for your data, protecting against loss due to accidental deletion, corruption, or disasters.
  • Azure Security Center: Helps secure your data with advanced threat protection, providing security management and threat detection capabilities to protect your Azure resources.

Automated Scaling and Performance Management

  • Azure Autoscale: Automatically adjusts resources based on demand, ensuring that applications can handle data growth without manual intervention. This helps optimize costs while maintaining performance.
  • Azure Monitor: Provides comprehensive monitoring and analytics capabilities to track performance metrics and set alerts, helping you manage resource utilization effectively as data grows.

Cost Management and Optimization

  • Azure Cost Management and Billing: Helps track and manage cloud spending, providing insights and recommendations to optimize costs as data storage and processing requirements increase.
  • Reserved Instances: Allow you to save on compute costs by committing to a one- or three-year term, which can be beneficial as data processing needs expand.

Conclusion

Microsoft Azure provides a comprehensive suite of services and tools to help organizations manage data growth effectively. By leveraging scalable storage solutions, robust data governance, advanced analytics, and automated management features, businesses can ensure that their data infrastructure supports their growth objectives while maintaining security and cost efficiency. Embracing these Azure capabilities allows organizations to harness the power of their data and make informed, data-driven decisions.

For more information about how you can manage your data with Azure, contact our Azure experts here

Power BI is Now Available on Microsoft’s 3 Sovereign National Clouds

Microsoft Power BI and its availability on national clouds highlights important considerations for organizations. Here’s a refined summary that emphasizes the implications of using Microsoft’s national cloud services:

Benefits of Microsoft Power BI in National Clouds

Overview: Microsoft Power BI is available on three national cloud platforms, providing organizations with tailored cloud solutions that comply with local regulations and enhance data security. These national clouds are designed to meet the specific needs of governments and regulated industries by offering isolated instances of Microsoft services within the geographic boundaries of specific countries.

Key Benefits for Organizations

  1. Data Sovereignty:
    • By utilizing national cloud services, organizations can ensure that their data remains within the borders of their country, addressing concerns about data residency and compliance with local laws.
  2. Enhanced Compliance:
    • Each national cloud environment maintains separate compliance offerings and audit procedures, aligning with government regulations. This allows organizations to meet stringent compliance requirements while leveraging Microsoft’s robust cloud capabilities.
  3. Consistent Security and Privacy:
    • While the compliance frameworks may differ, Microsoft maintains high standards of security, privacy, and transparency across all its cloud environments. Organizations can trust that their data is protected at all times.

Key Services Available in Microsoft’s National Clouds

  • Microsoft Azure Services:
    • Provides hyper-scale computing, storage, networking, and identity management tailored to meet government-required levels of security and compliance. Azure safeguards data with stringent control measures and transparency.
  • Microsoft Office 365:
    • Employs a defense-in-depth security strategy that layers multiple security controls (physical, logical, and data) to protect information. This ensures that if one security area fails, others remain in place to mitigate risk.
  • Microsoft Dynamics 365:
    • A cloud-based CRM solution that enables government employees to manage data reporting and workflows securely. It includes features to restrict access to sensitive data, ensuring that only authorized personnel can view critical information.

Conclusion

Leveraging Microsoft Power BI and other Microsoft services in national clouds allows organizations to take advantage of advanced analytics and productivity tools while adhering to local regulations and maintaining high security and compliance standards. This setup not only enhances operational efficiency but also instills confidence in data management practices, making it an ideal choice for organizations in regulated environments. By prioritizing data sovereignty and robust security, businesses can fully harness the power of the cloud without compromising on compliance or safety.

If you’re interested in transforming your company’s data into rich visuals to collect and organize so you can focus on what matters to you, Contact SNP Technologies here for more details and information on Power BI.

SQL Server 2008 + 2008 R2 End of Life Support- 4 Ways to Migrate to Microsoft Azure

On July 9, 2019, Microsoft will end support and security updates for SQL Server 2008 + 2008 R2. By that date, businesses using those systems will need to have migrated their operations to new software. That presents issues not only of cost and security but availability. It’s not like you can migrate during downtime anymore. The 24/7 nature of the modern IT organization demands that you transfer on the fly to minimize service interruptions.

SNP has put together a unique process to ensure your organization has a low-risk, high-availability move to your optimal successor system for SQL Server 2008 + 2008 R2. Beyond that, this process will give you a reliable and repeatable methodology for future upgrades that includes planning, technology implementation, and validation and training.

Two Migration Paths to the Modern Cloud:

1. Migrate SQL on-premises to Azure SQL Database Managed Instances (SQL DB MI): This option gives you an intelligent, fully-managed PaaS solution that provides near 100% compatibility with SQL Server on-premises. SQL MI provides built-in high-availability and disaster recovery capabilities plus intelligent performance features and the ability to scale on the fly. SQL MI also provides a version less experience that takes away the need for manual security patching and upgrades.

2. Migrate SQL on-premises to Azure SQL VM: This is an IaaS option that provides Extended Security Updates at no additional charge above the standard pricing for Azure Virtual Machines. For customers that migrate workloads to Azure Virtual Machines, we will offer Security Updates and Bulletins rated “Critical” for SQL Server 2008 and 2008 R2.  This route to modern migration also offers you:

  • Three years of Extended Security Updates at no additional charge and the ability to upgrade to a newer version when ready
  • Built-in monitoring of security and performance for hundreds to thousands of databases at scale
  • The option to migrate SQL Server workloads to Azure with on-premises licenses
  • Significant time and resource savings with hybrid capabilities

Whichever route you choose to the cloud, or if you have no digital transformation plan, we recommend you upgrade to the most current version of SQL Server. That way, even if you cannot meet the end of support deadline, you can buy Extended Security Updates to keep the remaining servers protected until you upgrade them. Otherwise, you can choose to move to Azure by opting to rehost, refactor, rearchitect, or rebuild your workload or app. Or, you can upgrade on-premises to the latest version of Windows Server.

4 Ways to Migrate to Microsoft Azure:

  • Rehost: Migrate 2008 and 2006 R2 workloads to Azure VM or Azure SQL Database MI (No code change required). This allows organizations to maintain existing versions and editions without paying for extended support. Microsoft is extending SQL Server 2008/2008R2 support through 2022 for servers migrated to Azure.
  • Refactor, Rearchitect, or Rebuild: Innovate with Windows server containers and Azure SQL Database MI (From minimal change to new code required)
  • Upgrade: Upgrade to Windows Server 2019 or SQL Server 2019 and get cloud and DevOps ready (potential code change required)
  • Pay for Extended Support: Here the costs are exponentially higher than the other options listed above and can be short term focused.

 

For more details of information on how you can prepare for SQL Server 2008 and 2008 R2 end of support, contact an SNP representative.