Frequently Asked Questions
The following are some emerging use cases for Generative AI (GenAI) across various industries;
- Financial Services
Segmenting customers and optimizing product recommendations Predicting the lifetime value of customers Analyzing digital behavior of investors and gaining insights for research and development of investment products. - Education
At-risk student dropout identification and intervention Learning interventions Identification of learning patterns. - Insurance
Automation of claims processing Optimizing premium pricing through forecasting. - Healthcare
Correlating and classifying IoT device data for diagnosis Conducting swift experiments and optimizing models in research institutions Forecasting and allocating staff and equipment resources. - Manufacturing and Logistics
Proactive maintenance for equipment, prevention of downtime, and optimization of Overall Equipment Effectiveness (OEE). - Retail
Optimization of consumer prices Enhanced recommendations for products.
Shaped by generative AI engagements with current customers, NorthBay’s services are purpose-built to help organizations embrace generative AI with confidence;
- Strategy and Planning
NBS works with you to Ideate and prioritize Generative AI use cases, and develop detailed road maps to maximize time-to-value while mitigating risk. - AI Insights Enablement
Using state-of-the-art algorithms tailored to your proprietary data sets, NorthBay enables you to unlock the potential of your data. - New Product Development
As companies scale up machine learning applications, NorthBay provides cost-effective infrastructure services, ensuring optimal performance throughout the development lifecycle. - Model Performance Optimization
Through model compression, hardware acceleration, and related techniques, NBS continuously improves the speed, adaptability, scalability, and efficiency of generative AI models. - LLM Ops
- Savvy organizations trust NorthBay for end-to-end LLM Operations, from deployment and fine-tuning to management and optimization in the generative AI lifecycle.
- Accelerating deployment and modernizing the underlying data layer.
- Removing risks associated with achieving intended outcomes on time.
- Gaining access to more data sources and providing flexibility to future data sets.
- Providing access to and enabling more personas in stakeholder community, while increasing overall security.
- Supplementing and complementing analytics, data science, and AI/ML expertise.
- Solving today’s challenges with a budget-friendly cost model that can scale for the future.
We have following customer success stories;
Optimizing Talent Aquisition:
NorthBay and AWS ProServe use AI to streamline a Middle Eastern government’s recruitment, optimizing candidate-job matching for better decision-making and increased economic opportunities.
Enhancing New Product Development:
NorthBay enables a financial powerhouse to launch new features in just 60 days by integrating LLM, tool sets, and semantic search for rapid data extraction from diverse sources.
Enabling Proactive Fleet Troubleshooting:
NorthBay aids a construction equipment management firm in leveraging AI for extracting insights from unstructured machine manuals, enabling proactive maintenance and troubleshooting.
Content Moderation:
NorthBay enhances a Middle Eastern government’s content moderation using Rekognition to analyze foreign text, images, and videos for effective management.
We are using the following AWS frameworks and services for Gen AI solutions;
- Advanced Text Analytics with help of Amazon COMPREHEND.
- Conversational agents with Amazon LEX.
- Translation with Amazon TRANSLATE.
- Transcription with Amazon TRANSCRIBE.
- Voice using Amazon POLLY Document Analysis with Amazon TEXRACT.
- Image and Video Analysis using Amazon REKOGNITION.
- Forecasting based on Amazon FORECAST.
- Recommendations using Amazon PERSONALIZE.
Generative AI is thrilling because it empowers machines to create, innovate, and mimic human-like creativity. It opens doors to endless possibilities, from generating lifelike images and videos to creating unique content and aiding in complex problem-solving. The excitement lies in its potential to revolutionize industries like art, design, healthcare, Finance, Insurance, Education, Retail and more, pushing the boundaries of what AI can achieve creatively and intellectually.
Generative AI contributes to application efficiency by automating tasks, accelerating processes, improving decision-making, and enhancing the overall user experience across diverse domains.
Businesses can leverage generative AI by using following emerging use cases for across various industries;
Financial Services
Segmenting customers and optimizing product recommendations Predicting the lifetime value of customers Analyzing digital behavior of investors and gaining insights for research and development of investment products.
Education
At-risk student dropout identification and intervention Learning interventions Identification of learning patterns.
Insurance
Automation of claims processing Optimizing premium pricing through forecasting.
Healthcare
Correlating and classifying IoT device data for diagnosis Conducting swift experiments and optimizing models in research institutions Forecasting and allocating staff and equipment resources.
Manufacturing and Logistics
Proactive maintenance for equipment, prevention of downtime, and optimization of Overall Equipment Effectiveness (OEE).
Retail
Optimization of consumer prices Enhanced recommendations for products.
Generative AI offers a range of benefits across various domains, driving innovation and efficiency. Some key advantages include:
- Content Creation
- Data Augmentation
- Personalization
- Automation and efficiency
- Innovation in Product Design
- Natural Language Processing (NLP)
- Financial Analysis and Prediction
- Healthcare Diagnostics
- Code generation
- Cybersecurity
We have following experiences in implementing generative AI or other AI/ML solutions on AWS;
Optimizing Talent Aquisition: NorthBay and AWS ProServe use AI to streamline a Middle Eastern government’s recruitment, optimizing candidate-job matching for better decision-making and increased economic opportunities. Enhancing New Product Development: NorthBay enables a financial powerhouse to launch new features in just 60 days by integrating LLM, tool sets, and semantic search for rapid data extraction from diverse sources.
Enabling Proactive Fleet Troubleshooting: NorthBay aids a construction equipment management firm in leveraging AI for extracting insights from unstructured machine manuals, enabling proactive maintenance and troubleshooting. Content Moderation: NorthBay enhances a Middle Eastern government’s content moderation using Rekognition to analyze foreign text, images, and videos for effective management.
Generative AI can be applied to your business to drive value by using following use cases across various industries;
Financial Services
Segmenting customers and optimizing product recommendations.
Predicting the lifetime value of customers.
Analyzing digital behavior of investors and gaining insights for research and development of investment products.
Education
At-risk student dropout identification and intervention.
Learning interventions.
Identification of learning patterns.
Insurance
Automation of claims processing.
Optimizing premium pricing through forecasting.
Healthcare
Correlating and classifying IoT device data for diagnosis.
Conducting swift experiments and optimizing models in research institutions.
Forecasting and allocating staff and equipment resources.
Manufacturing and Logistics
Proactive maintenance for equipment, prevention of downtime, and optimization of Overall Equipment Effectiveness (OEE).
Retail
Optimization of consumer prices.
Enhanced recommendations for products.
The avaerage accuracy level of our AI models is upto 95%. We work side-by-side with our customers to ensure quality output by:
- Accelerating deployment and modernizing the underlying data layer.
- Removing risks associated with achieving intended outcomes on time.
- Gaining access to more data sources and providing flexibility to future data sets.
- Providing access to and enabling more personas in stakeholder community, while increasing overall security.
- Supplementing and complementing analytics, data science, and AI/ML expertise.
- Solving today’s challenges with a budget-friendly cost model that can scale for the future.
Several emerging capabilities in generative AI are shaping the future of this field. While the landscape continues to evolve, here are some trends and capabilities to prepare for:
- Meta-learning involves models that can learn how to learn. They adapt and generalize across various tasks, allowing for faster adaptation to new information.
- Few-shot and zero-shot learning enable models to perform tasks with very few or even zero examples, showcasing enhanced generalization capabilities.
- Models are becoming more adept at allowing users to control specific aspects of the generated output, such as style, content, or attributes.
- Increased focus on addressing ethical concerns and biases in generative AI models to ensure fair and responsible outcomes.
- Efforts to enhance the explainability and interpretability of generative models, allowing users to understand how and why certain outputs are generated.
We work side-by-side with our customers to determine ROI for AI implementations and ensure success at every stage by:
- Accelerating deployment and modernizing the underlying data layer.
- Removing risks associated with achieving intended outcomes on time.
- Gaining access to more data sources and providing flexibility to future data sets.
- Providing access to and enabling more personas in stakeholder community, while increasing overall security.
- Supplementing and complementing analytics, data science, and AI/ML expertise.
- Solving today’s challenges with a budget-friendly cost model that can scale for the future.
Through our OneTeam process, we work in close collaboration and coordination with your current IT teams and can provide the required knowledge transfer, documentation and confidence needed to successfully manage and maintain AI systems going forward.
- With Application modernization, organizations can leverage cutting-edge cloud services and shorten software development cycles in order to create or maintain their competitive advantage.
- Code changes can be delivered more frequently and reliably by enforcing automation in the building, testing and deployment of applications in the AWS cloud.
It creates more efficient workflows, drives innovation, unlocks new use cases and improves productivity. - AWS automated security functions and data privacy features helps in tightening data security.
As an AWS Premier Consulting Partner, NorthBay has a deep understanding of AWS technologies and best practices, and how to best apply them to modernize an application for the cloud, develop a data lake on AWS, or optimize AWS big data analytics workloads. We evaluate and prioritize opportunities to re-architect, rewrite or re-purpose legacy custom applications and data workloads to a native AWS Cloud platform.
The decision to replace the entire legacy system in application modernization depends on various factors and should be carefully evaluated based on your specific circumstances. Here are some considerations:
- Business goals and objectives
- Cost-benefit analysis
- Scalability and Flexibility
- Security and compliance
- Integration with New Technologies
- Legacy System Dependencies
- Return on Investment (ROI)
We offer following services in application and data modernization;
Re-platform to Cloud:
Transfer existing applications to AWS for increased scalability.
Database Migration:
Migrate databases to AWS Managed options like Aurora and Redshift.
Cloud Native Transformation:
Transform applications for native AWS technologies like serverless and micro-services.
Advanced Modernization:
Deploy new applications, leverage ML/AI, and use purpose-specific databases for enhanced insights.
Ensuring a successful modernization project on AWS involves adhering to best practices across various phases of the project. Here are key practices:
- Define Clear Objectives
- Conduct a Comprehensive Assessment
- Prioritize Workloads
- Develop a Robust Migration Plan
- Security and Compliance
- Leverage AWS Services and Tools
- Automation for Efficiency
- Implement Monitoring and Analytics
- Optimize for Cost
- Training and Skill Development
- Testing and Validation
- Continuous Improvement
- Documentation
- Collaborate with AWS Partners
We evaluate and prioritize opportunities to re-architect, rewrite or re-purpose legacy custom applications and data workloads to a native AWS Cloud platform.
We use agile methodology for migrating your application, databases and data to AWS while minimizing downtime by
- Enabling CI / CD that delivers code changes more frequently and reliably by enforcing automation in the building, testing and deployment of applications in the AWS cloud.
- Adopting ML and AI to create more efficient workflows, drive innovation, unlock new use cases and improve productivity.
Yes. Get a free consultation with our expert team to learn about the end-to-end modernization process and timeline for your project. May I book an appointment?
Through our OneTeam process, we work in close collaboration and coordination with our customers, and share cloud and AWS best practices so IT teams gain the skills to maintain and optimize the environment moving forward.
Yes. we have worked for multiple industries. Please click here to learn about our experiences
Our comprehensive cloud migration framework, developed over a decade, follows industry and AWS best practices. From Discovery to Execution, we assess, prioritize, and optimize, ensuring a seamless migration. NorthBay, certified on AWS’s Engagement Delivery Framework (EDF), is your trusted partner for swift cloud value.
More and more organizations are accelerating the migration of on-premises infrastructure, data, and applications to the cloud. They want to swap their costly, inflexible, and monolithic environment for a pay-as-you-go alternative that allows them to take advantage of technologies such as data analytics, machine learning, and artificial intelligence. So you are also suggested to go for cloud migration. It offers several beenfits like cost optimization, scalability and flexibility, enhanced performance, security and compliance, disaster recovery and many more.
Cloud migration involves moving applications, data, and processes from on-premise or existing environments to a cloud infrastructure. There are various approaches to cloud migration, each suited to different scenarios and business requirements. Here are the main types of cloud migration approaches: Rehost (Lift and Shift), Replatform (Lift, Tinker, and Shift), Refactor (Re-architect), Rearchitect for the Cloud (Cloud-Native), Replace, Retire, Rebuild (Start from Scratch).
Leveraging data from the discovery phase, we assess your business needs, identify opportunities and recommend the optimal migration strategy and associated cloud services. Where possible, we investigate modernization “low-hanging fruit” opportunities to accelerate the massive value available from the cloud.
It offers several beenfits like cost optimization, scalability and flexibility, enhanced performance, security and compliance, disaster recovery and many more.
NBS offers the following AWS cloud migrating services;
- AWS Migration Readiness Assessment
- AWS Migration Acceleration Program
- AWS Cloud Adoption Framework
- AWS Service Delivery
- AWS Database Freedom (Click on the URL to learn more about our cloud migration services)
The duration of a cloud migration project can vary widely based on several factors, including the complexity of the IT environment, the size and scope of the migration, the chosen migration strategy, and the readiness of the organization. May I book an appointment to discuss your project with our Project manager?
Ensuring data security during the migration process is a critical aspect of any cloud migration strategy. Here are key practices to help safeguard data security:
- Data encryption
- Secure Network Connections
- Regular Audits and Monitoring
- Secure APIs and Interfaces
- Data Backup and Recovery Planning
- Secure Data Deletion
Cloud migration challenges include potential data security concerns, requiring robust encryption and access controls, as well as the complexity of aligning existing applications with cloud-native architectures for optimal performance.
Yes Certainly! Please book an appointment with our team to discuss your project and get help in calculating the cost savings associated with Cloud Migration.
We establish comprehensive data backup policies tailored to your specific business needs. These policies define the frequency, methods, and retention periods for data backups. Regular backups are conducted to capture changes and updates to your data.
Moreover, we work with your team to develop a robust disaster recovery plan that outlines procedures for data restoration and system recovery in the event of a disaster or disruptive event.
Our Cloud Migration services are tailored to meet the unique needs of each client, and the cost structure is determined based on several factors. These factors include the complexity and scale of the migration, the size of your existing infrastructure, the chosen cloud platform, and any specific requirements unique to your business. May I book an appointment to discuss your project with our Project manager and ask for the cost structure?
To initiate your Cloud Migration project, reach out to our team to schedule an initial consultation and our team will guide you through the entire process. We’re committed to ensuring a successful migration that aligns with your business objectives and sets the stage for future growth and innovation.
Yes, NorthBay offers the following SAP HANA services available on AWS;
- SAP HANA performance monitoring and fine-tuning
- SAP HANA backups and restore
For existing SAP customers, we offer a full suite of migration and modernization services. These include conducting technical assessments of your current landscape to determine readiness, crafting planning reports and sizing recommendations for moving to the cloud, and executing all required migration scenarios. Our expertise also encompasses extending SAP capabilities by integrating complementary cloud services. These integrations introduce new innovations like IoT data streams for predictive maintenance, AI/ML powered business analytics for competitive insights, leading CRM tools to enhance customer experiences, and robust security services. With end-to-end guidance, we enable organizations to transform their SAP environments to leverage the latest advances across technologies. Our goal is to unlock new revenue channels, boost efficiency, and position SAP customers for continued innovation and growth.
NorthBay provides the following services for migrating SAP on AWS;
- SAP Greenfield Deployment
- SAP Migrate and Modernize
- SAP BASIS Services
- Disaster Recovery
Thank you for considering our services for SAP on AWS. Reach out to our team to schedule an initial consultation. During this session, we’ll discuss your specific SAP requirements, business goals, and any existing infrastructure. We look forward to helping you leverage the power of SAP on AWS for your business success.
Migrating Microsoft workloads to the cloud has proven advantages and benefits, but getting there can be a challenging and difficult process. At NorthBay, we recognize and deal with these challenges head-on to help you make the right decisions and support you every step of the way. So book an appintment with our expert team to discuss your project and learn about the migration process.
Optimizing SAP performance on AWS is an ongoing process, and it’s essential to continually monitor, analyze, and adjust your configurations based on changing requirements and workloads. Additionally, staying informed about updates to AWS services and SAP best practices is crucial for maintaining optimal performance.
With the largest number of SAP Certified Compute Instances, the AWS Cloud meets these customers’ critical needs for performance, rapid provisioning, scalability, compliance and security.
Whether you are moving on-prem workloads or migrating between different cloud providers, NorthBay’s project management, incredibly skilled technical staff, and our Workload Migration Services remove risk and accelerate migration. We utilize the best practices we’ve developed while supporting the world’s most complex cloud environments to ensure your migration path is efficient and secure.
Yes. We have SAP & AWS certified engineers in our team.
NorthBay’s customers that have moved their Microsoft workloads to AWS as compared to on-premises hosting enjoy the following advantages:
43% broader and deeper functionality, $9.6M greater reliability and massive agility, 46% more security capabilities, 479% faster performance, 5.6 lower costs, 37% more migration experience
Microsoft workloads performance on AWS is advantageous compared to other public clouds in the following ways:
2x more regions with multiple availability zones, 7x fewer downtime hours in 2018, 2x higher performance for SQL Server on Windows, 5x more services offering encryption
Windows on AWS refers to the use of Microsoft Windows operating systems in combination with Amazon Web Services (AWS) cloud infrastructure. AWS provides a platform that supports various Windows-based workloads, enabling businesses to run their Windows applications, servers, and services in the cloud.
You should consider it for your business as Windows workloads performance on AWS is advantageous compared to other public clouds in the following ways:
2x more regions with multiple availability zones, 7x fewer downtime hours in 2018, 2x higher performance for SQL Server on Windows, 5x more services offering encryption
Moreover, it provides broader and deeper functionality, greater reliability and massive agility, more security capabilities, faster performance and lower costs.
The following AWS services are available for Windows workloads;
Assess, Mobilize, Migrate and Modernize, Cloud Migration, Disaster recovery, Data center, Next-Generation applications.
Visit the given page to learn more about our services. https://northbaysolutions.com/services/migrate-windows-on-aws/
Yes. NBS can assist you with migrating existing Windows workloads to AWS. Would you like to book an appointment with our expert team to discuss your project?
Yes. Our AWS certified engineers can help you optimize your Windows workloads on AWS to control costs. Would you like to book an appointment with our expert team to discuss your project?
Being an AWS Devops Consultant, NorthBay can help your teams establish the necessary environment and practices while also providing guidance and training to your team members on Best Practices. Our decade of AWS experience has enabled us to create real-world DevOps methodologies and best practices that we share with our clients to help improve their process and accelerate their success beyond the initial engagement.
We help organizations in transition from waterfall based, long monolithic application development cycles to much shorter, iterative microservices based releases as illustrated below.
In this process, both development as well as operations teams now share their responsibilities as cross-functional team experts, the entire team is responsible for delivering both new features and stability.
Yes. We have certified engineers for DevOps implementation in a professional way
AWS enables DevOps practices through automation services that treat both infrastructure and software delivery as programmable. Powerful CI/CD pipelines are provided out of the box along with observability tooling for rapid debugging. A vast array of configurable security, compliance and access controls are natively available. Together these capabilities support reliable, high velocity releases by removing manual bottlenecks and connecting cross-functional teams.
- Rapid Delivery – Accelerate release velocity and time-to-market through CI/CD pipelines.
- Reliability & Security – Ensure quality, reliability and compliance through automated policies and controls.
- Scale & Collaboration – Manage infrastructure and processes at scale. Unite developers and ops under a DevOps model.
- Continuous Integration/Delivery – Merge code changes frequently, test automatically, deliver continuously.
- Infrastructure as Code – Provision infrastructure through code for consistency and efficiency.
- Configuration Management – Standardize system config through code-based automation.
How will you help us adopt an infrastructure-as-code approach on AWS for consistency and efficiency?
Infrastructure as code is a practice in which infrastructure is provisioned and managed using code and software development techniques, such as version control and continuous integration. This removes overhead associated with managing physical infrastructure and provides consistency and repeatability in the setup, reducing the chances of any incompatibility issues with infrastructure and helping applications run smoothly. Automation of infrastructure also helps increase productivity and save on compute costs by easily tearing down environments when not in use.
“Yes. We have AWS certified DevOps engineers in our team and we have extensive experience to help organizations leverage AWS services like CodePipeline, CodeBuild, CodeDeploy etc.”
NorthBay offers a variety of engagement models allowing customers like you to transform to DevOps at your pace, engage at your choice with onshore/offshore AWS certified professionals organized in NorthBay lead teams, or bundled teams or staff augmentation to complement your organization during its enablement journey. Our Solution Architects take the time to understand your current environment and your business drivers and then help recommend the right DevOps strategy based on AWS Best Practices.
Through our OneTeam process, we work in close collaboration and coordination with your current IT teams and can provide the required knowledge transfer, documentation and confidence needed to successfully maintain the new environment.
Following are some key metrics to measure improvements from adopting AWS DevOps:
Deployment frequency, Lead time for changes, Mean time to recover (MTTR), change failure rate, Application usage , cost efficiency, Employee productivity. Setting DevOps performance benchmarks around these metrics, then tracking improvements over time is key to understanding ROI and value delivered through faster, more reliable innovation powered by AWS.
Estimating the cost, typical Return on Investment (ROI), and timeline for AWS DevOps enablement can vary significantly based on the specific goals, scope, and complexity of the organization’s DevOps transformation. However, for an accurate estimation, consider engaging with our lead to conduct a detailed assessment and create a customized roadmap based on your organization’s specific goals and context. May I book an appointment for you to have a discussion session?
NBS helps in the automation and orchestration of DevOps processes by using CI/CD and IaC (Infrastructure as Code) practices.
In Continuous integration and continuous delivery(CI/CD), developers merge code changes into a central repository, and are automatically built, tested, and prepared for a release to production.
In Infrastructure as code practice, infrastructure is provisioned and managed using code and software development techniques, such as version control and continuous integration. This removes overhead associated with managing physical infrastructure and provides consistency and repeatability in the setup, reducing the chances of any incompatibility issues with infrastructure and helping applications run smoothly. Automation of infrastructure also helps increase productivity and save on compute costs by easily tearing down environments when not in use.
AWS provides the most comprehensive, secure, and cost-effective technology portfolio for developing a data lake solution, as well as building a data lake and analytics architecture. These services include data migration, cloud infrastructure, management tools, analytics services, visualization tools, and machine learning. And as an AWS Premier Consulting Partner, NorthBay has a deep understanding of AWS technologies and best practices, and how to best apply them to develop a data lake on AWS, or AWS big data analytics workloads.
NorthBay has architected and implemented hundreds of data lakes and analytics solutions, with customised services including:
- Creating a data modernization strategy that details how data, people, processes, and technology should work together to achieve business goals.
- Migrating legacy on-premises databases and data warehouse to an AWS-enabled data lake for scalability and agility. In many cases, we take on the heavy lifting so that internal teams can stay focused on day-to-day-operations. Or, we partner closely with internal teams to execute, while fully equipping internal teams via collaboration, knowledge transfer and upskilling.
- Developing data warehouse analytics workloads to translate data into insight and action.
We offer following AWS services and technologies for data lake implementation in cloud;
Services: AWS service delivery, AWS Cloud adoption framework, AWS Well-Architected, AWS database freedom.
Technologies: Amazon DynamoDB, Amazon RDS, Amazon ElastiCache, Amazon Redshift
Yes. We have designed a data lake solution for a healthcare industry. Click here to read the complete case study.
Yes. We have AWS certified engineers to make your business more efficient with data lake implementation.
Yes. NorthBay has architected and implemented hundreds of data lakes and analytics solutions. Please click on the following URL https://northbaysolutions.com/big-data-data-lake-analytics/eliza-corporation-hipaa-compliant-data-lake/ to have a look on one of our customer stories related to healthcare industry.
NorthBay has architected and implemented hundreds of data lakes and analytics solutions, with services including:
- Creating a data modernization strategy that details how data, people, processes, and technology should work together to achieve business goals.
- Migrating legacy on-premises databases and data warehouse to an AWS-enabled data lake for scalability and agility. In many cases, we take on the heavy lifting so that internal teams can stay focused on day-to-day-operations. Or, we partner closely with internal teams to execute, while fully equipping internal teams via collaboration, knowledge transfer and upskilling.
- Developing data warehouse analytics workloads to translate data into insight and action.
- Ensuring business operations run smoothly with minimal downtime during migration.
NorthBay conducts Well-Architected Reviews (WAR) at different stages of a workload’s lifecycle to either
- Prepare and plan for migration to the AWS cloud, or
- Ensure that existing cloud workloads continue to be optimized. Based on five pillars — operational excellence, security, reliability, performance efficiency, and cost optimization — AWS Well-Architected provides a consistent approach for customers and partners to evaluate architectures, govern data lake and implement designs that can scale over time.
AWS Lens provides a way for you to consistently measure your architectures against best practices and identify areas for improvement to a specific type of Workload for example SaaS, Analytics etc.
AWS provides the most comprehensive, secure, and cost-effective technology portfolio for developing a data lake solution, as well as building a data lake and analytics architecture. These services include data migration, cloud infrastructure, management tools, analytics services, visualization tools, and machine learning.
As an AWS Premier Consulting Partner, NorthBay has a deep understanding of AWS technologies and best practices, and how to best apply them to develop a data lake on AWS, ensure quality and reliability of data flowing into the lake.
We help to optimize costs for your cloud data lake by using AWS Well Architected technology. Based on five pillars — operational excellence, security, reliability, performance efficiency, and cost optimization — AWS Well-Architected provides a consistent approach for customers and partners to evaluate architectures, and implement designs that can scale over time.
We have expertise in the following technologies and tools and will like to recommend them for getting insights from the data lake;
Amazon Athena, AWS S3, AWS Kafka Elasticsearch, AWS QuickSight, ETL PROCESSING, Amazon EMR, Amazon Kinesis, Amazon Redshift, Amazon DynamoDB
We specialize in guiding businesses through a thorough analytics use case identification process. By conducting comprehensive consultations and analyzing your specific business needs, we tailor high-value analytics use cases that align with your objectives. Our expertise ensures that the identified use cases not only leverage the full potential of analytics but also drive meaningful insights for strategic decision-making.
NBS offers the services of AWS Well Architected for data lake solutions. Based on five pillars — operational excellence, security, reliability, performance efficiency, and cost optimization — AWS Well-Architected provides a consistent approach for customers and partners to evaluate architectures, and implement designs that can scale over time.
Our best practices for data lake development include;
- Creating a data modernization strategy that details how data, people, processes, and technology should work together to achieve business goals.
- Migrating legacy on-premises databases and data warehouse to an AWS-enabled data lake for scalability and agility. In many cases, we take on the heavy lifting so that internal teams can stay focused on day-to-day-operations. Or, we partner closely with internal teams to execute, while fully equipping internal teams via collaboration, knowledge transfer and upskilling.
- Developing data warehouse analytics workloads to translate data into insight and action.
- Ensuring business operations run smoothly with minimal downtime during migration.
The timeline for building a production-ready data lake can vary based on factors such as the complexity of the project, the size of the organization, the volume and variety of data, and the chosen technology stack. Engaging with our experienced data engineering and cloud architecture professionals can help streamline the process and ensure successful implementation. Would you like to book an appointment for a discussion session?
Quantifying the Return on Investment (ROI) for implementing a cloud data lake is a complex task as it depends on various factors such as the specific use case, organization size, industry, and the effectiveness of implementation. Engaging with our cloud experts can provide more insights into the potential benefits for your organization. Would you like to book an appointment?
The cost of transferring industry data into a data lake can vary widely based on several factors, including the volume of data, the complexity of the data sources, the technology stack chosen, and the level of customization required. To get a more accurate estimate, it’s advisable to consult with our data engineering and cloud computing experts who can assess your specific requirements and provide tailored cost estimates. Would you like to book an appointment for a discussion session?
Being AWS Partner, NBS can help you with AWS cloud managed services to:
- Take on or take over day-to-day management of your AWS Cloud operations and infrastructure on an ongoing basis.
- Support your AWS Services: AWS Lambda Serverless, Aurora data platform, DynamoDB, NoSQL database, or others.
- Ensure your AWS platform is secure, cost-optimized, backed up, and operating at maximum performance – while enhancing your DevOps practice.
Through our strategic project and staff augmentation services, NorthBay provides startup, high-growth and enterprise businesses with AWS certified engineers and architects to quickly, easily and cost-effectively close critical resource gaps. We’re available to take on the heavy lifting for development, migration, modernization, and data insights initiatives — from strategy, to design and implementation, to ongoing optimization.
Yes. Being an AWS Devops Consultant, NorthBay can help your teams establish the necessary environment and practices while also providing guidance and training to your team members on Best Practices of automation on AWS.
NBS offers the following engagement models;
- Technology Leadership as a service
- Strategic projects & Staff augmentation
- AWS Cloud managed services * Jam Sessions
Less than 0.1% of AWS global partners have achieved the AWS MSP Certification. With that in mind, you can rely on us to:
- Take on or take over day-to-day management of your AWS Cloud operations and infrastructure on an ongoing basis
- Support your AWS Services: AWS Lambda Serverless, Aurora data platform, DynamoDB, NoSQL database, or others
- Ensure your AWS platform is secure, cost-optimized, backed up, and operating at maximum performance – while enhancing your DevOps practice
The following AWS Cloud MSP services we support;
In analytics, we offer Amazon EMR, Amazon Redshift, AWS QuickSight.
In database, we offer Amazon Aurora, AWS RDS, Amazon DynamoDB.
In networking and security, we offer AWS Cognito, AWS VPC and many more.
The benefits of using AWS Cloud Managed Services are following;
- Reduced IT operating costs
- Stronger regulatory compliance
- Improved data and operational security
- More opportunity for innovation
Yes. AWS Cloud Managed Services can help with security and compliance by reducing the risk of cybersecurity threats with monitoring and patch management tools.
NorthBay offers three Managed Services delivery models designed for customers of all sizes across all stages of the cloud journey. Click the given URL to have a look on NorthBay’s proposed AWS Cloud MSP Models and the services included.
Cloud application development refers to the process of creating software applications that are designed to operate on cloud infrastructure. It involves developing, deploying, and maintaining applications using cloud services and resources.
Cloud application development empowers businesses with the tools and infrastructure needed to build, deploy, and scale applications efficiently. It not only reduces costs but also enhances agility, security, and accessibility, enabling businesses to stay competitive in the rapidly evolving digital landscape.
Cloud Application Development can provide your business significantly greater agility, resilience, and portability across cloud environments. Moreover, it gives the following key benefits;
- The ability to release new functionality with improved customer experiences increasingly sets the most innovative organizations apart from their trailing competition.
- Innovations like Server-less environments free up valuable time for scarce DevOps talents and pervasive automation creates efficiencies of scale and convenience.
- Standardization and the demise of costly proprietary technologies drive down costs, and the enhanced velocity and Customer Experience improvements create greater business value.
Innovations like Server-less environments free up valuable time for scarce DevOps talents and pervasive automation creates efficiencies of scale and convenience.
