Name: Legacy .NET Application Modernization on AWS: A Case Study
Start: 2023-03-08T15:00:00Z
End: 2023-03-08T15:42:45.000Z
Location: BrightTALK
Rating: 0

Datavail, an AWS Advanced Tier Partner, provides data management, application development, analytics, and cloud services with 1,000+ professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform. Get actionable advice, case studies, and more on data modernization.

Many organizations use AWS as their cloud provider, but are you getting the full value and benefits from this cloud environment? Lifting and shifting monolithic applications and continuing to use legacy databases can fall short of truly harnessing these new capabilities.

Join Michael Agarwal, Director and Global Practice Leader Cloud and NoSQL Databases, Datavail, and Oliver Graves, Senior Sales Manager - Databases, AWS as they compare legacy, cloud-optimized, and cloud-native approaches to databases, applications, and analytics in the AWS cloud to help you identify gaps in your cloud adoption strategy.

We’ll cover:
· Cloud modernization trends
· The drawbacks of lift and shift cloud migrations
· The benefits of cloud modernization 
· Modernizing commercial databases, applications, and analytics with cloud-native solutions
· Using purpose-built NoSQL databases
· Choosing the right strategic approach for cloud modernization

Modernizing Your Applications, Databases, and Analytics Solutions Using AWS

Modernizing large legacy .NET applications and taking them into the cloud can be a very complex endeavor. This deep dive case study shows the .NET application cloud modernization journey of a healthcare organization that wanted to lower the cost of operations, drive more business value to patients and hospitals through improved agility, and enhance security. 

Sambit Ghosh, Senior Vice President of Cloud Applications, Datavail, covers how we approached the modernization of these legacy .NET applications running on the .NET Framework/SQL Server/BizTalk stack. We leveraged .NET Core, AWS Aurora MySQL, AWS Fargate, and many other AWS services for this cloud modernization project. 

Key technologies selected and the decisions around the full cloud modernization strategy and solution architecture will be discussed, including Microservices, Containers, Kubernetes, Serverless, DevOps, Orchestration, and Monitoring.

Legacy .NET Application Modernization on AWS: A Case Study

Cloud adoption continues to accelerate as more enterprises seek opportunities to reduce costs, increase efficiencies, and improve agility. When it comes to moving data and applications to the cloud, there is a growing array of platform choices, deployment models, and features to fit every bill.

However, cloud migration is not a cure-all for every IT and business woe. Neither is staying on-premises, but what's clear today is that our increasingly cloud-based world requires enterprises to rethink their data management practices, people, and processes.

In this webinar recording, Datavail’s Michael Agarwal, Director and Global Practice Leader for Cloud Databases, participates in a special Database Trends and Applications roundtable discussion on Cloud Migration Best Practices: Risks, Requirements, Strategies, and Solutions. Agarwal covers:

· The major milestones of cloud migration: discovery, assessment, planning, and migration
· The 6 Rs of cloud migration and modernization
· Real-life lessons learned and recommendations for each cloud migration stage
· Agent-based tools vs. agentless tools for discovery
· Approaches to cloud observability solutions
· Using a multi-stage cloud migration process
· Getting the right recipe for a successful cloud migration and modernization initiative

Cloud Migration Best Practices: Risks, Requirements, Strategies, and Solutions

Datavail conducted a cloud adoption industry survey in partnership with TechValidate, an independent third-party surveyor. We compared companies’ cloud adoption, cloud migration, and usage for different types of workloads. This webinar goes over the findings, which reveals where organizations are in their cloud adoption and modernization journeys, the technologies they’re leveraging, the challenges faced and also examines different aspects of cloud adoption including:

* The types of cloud platforms being used for non-SaaS workloads
* The benefits organizations expect after their cloud migrations
* Whether cloud consumption costs were more or less than anticipated
* The usage of cloud analytics
* The most popular primary database platforms
* How many organizations use cloud managed database solutions
* The role of PaaS compared to traditional IaaS

Cloud Adoption Trends and Best Practices

Cloud adoption in the enterprise continues to accelerate as more businesses seek opportunities to reduce costs, increase efficiencies and improve agility. Right now, many organizations are planning digital transformation projects focused on cloud solutions. When it comes to moving data and applications to the cloud, there is a growing array of platform choices, deployment models and features to fit every bill.

However, cloud migration is not a cure-all for every IT and business woe. While the same can be said of staying on-premises, the fact is our increasingly cloud-based world requires enterprises to rethink their data management practices, people and processes. From integration, security, data and financial governance to big data observability and optimization, new outlooks and approaches are essential to successfully navigating this changing world.

This webinar intends to help IT decision makers and practitioners reassess current strategies, roles and responsibilities and learn about emerging best practices and solutions.

After Cloud Migration: Key Data Management Practices You Need to Rethink

Today, more and more apps are being deployed on containers in Kubernetes. Since the wide-spread adoption of containers, Kubernetes has emerged as the de facto orchestration platform used by dev teams with a robust ecosystem of distributions and cloud services for enterprises to choose from. 

While this same level of growth has not been seen with the containerization of databases, which can be challenging to run in distributed environments, this is starting to change as enterprises rethink traditional approaches to data management. The opportunity to bring the benefits of DevOps tools and practices to the database world is appealing.

Watch the webinar to learn more about best practices and considerations for your Kubernetes implementation.

Running Databases on Kubernetes: Considerations and Best Practices

Database administrations have seen their roles rapidly shift from keeping the lights on to making strategic data engineering decisions as they move to the cloud and adopt automation solutions, deal with emerging database technologies, stay on top of supporting an increasingly large number of database deployments, and adapt to world changes like the pandemic and the Great Resignation.

In this webinar recording, Datavail’s Kathryn Sizemore, Senior Database Administrator, MySQL/MariaDB, participates in a special Database Trends and Applications roundtable discussion on The Role of the DBA in 2022: Changes, Challenges, and Opportunities. Questions answered include:

· Is the cloud making the job of the DBA harder or easier?

· Will automation replace the traditional role of the DBA?

· What are the top skills in demand for DBAs today?

· How can companies balance the increase in remote access for workers while making sure that data security and governance are kept intact?

· How is the Great Resignation impacting DBA talent availability?

The Role of the DBA in 2022: Changes, Challenges, and Opportunities

Cloud Applications

Containerization

Cloud Adoption

Microservices

Health Tech

DevOps

SQL server

MySQL

Application Development

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Legacy .NET Application Modernization on AWS: A Case Study

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