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    Digital Blue Man with a Digital Wrench
    Upgrade Gives Developer Weekly Time Savings

    Read how a Ubuntu upgrade gave this developer 40% more time to dedicate to strategic work while growing security and improving its testing regime.

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    Federated Kubernetes Clusters Using Amazon EKS and KubeFed

    Cloud elasticity helps organization's obtain greater uptime, fault tolerance, and business continuity. Yet, spanning across regions for even greater application availability has been a challenge. Read how that's changing with federated Kubernetes clusters using EKS and KubeFed.

    Digitized cloud floating in front of mainframes
    Multinational Financial Services Firm Migrates Data Platform to AWS

    As part of a five year strategic initiative to modernize, NTT DATA worked with a leading financial services firm to to bring their data into a Snowflake data lake on AWS, helping accelerate the hydration of the data lake, achieving faster time to value.

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    AWS MLOps Framework Pre-Packages ML Model Deployment Pipelines

    Machine learning is fast-paced with new data sets added all the time. Juggling these changes while building an accurate model and effectively deploying ML models can be a challenge. Read our analysis of the new solution from AWS designed to help streamline the process.

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    Seven Steps to Build the Best Cloud Team

    Is the skills gap a myth? Read how you can address it by focusing on specific traits rather than short-lived skills.

     

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    Achieving Closed-Loop SRE Benefits

    Learn how an enterprise telecom provider activated SRE metrics to gain greater visibility and achieve faster application feedback for increased customer satisfaction.

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    Advocating for Continuous Code Abandonment

    Is code bloat getting in the way of your innovation? A culture of continuous code abandonment can help. 

    House on lake in autumn
    Why your AWS Data Lake Transformation Needs a Lakehouse

    With a data lakehouse, teams can start to achieve turnkey data democratization at any budget and scale. Learn how an AWS data lake can benefit from these and other lakehouse architecture benefits.

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    Achieve Biden Administration Cloud Goals with these Approaches to Legacy Modernization

    Modernizing legacy systems to take advantage of cloud computing is a clear directive for many agencies, yet there are many paths to modernization. Read on as we explore five primary modernization options and our perspective on optimal phases to help.

    Containers being loaded onto ship
    Amazon Managed Grafana and Amazon Managed Service for Prometheus

    As your environment complexity grows, so does the need for observability to ensure system health. Grafana and Prometheus are two popular open source choices to achieve observability of complex container environments, which has been made even easier to manage and maintain with Amazon Managed Grafana and Amazon Managed Service for Prometheus.

    Team of co-workers collaborating as they are joined by remote team mates
    Why we Call Our Scrum Masters “Agile Delivery | Agilist”

    What is an Agile Delivery | Agilist and how does it relate to Agile, Systems Thinking, DevOps and other Lean management approaches?

    Bubbles filled with ones and zeros floating over a body of water
    Migrating Data to AWS in a Data Lake Pattern

    An AWS data lake is a great migration strategy for data storage, especially when moving to a data lakehouse. Shorten the journey with these four steps.

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    Achieve Biden Administration Cloud Goals with Mainframe Modernization

    The May 12th Executive Order on Improving the Nation’s Cybersecurity pushes agencies to cloud modernization. The benefits extend far beyond security. Read how. 

    Two workers manipulate 3D Automotive Image on screen
    Securing a Lane for Collaboration

    A global automotive manufacturer built a secure platform for R&D in collaboration with independent researchers around the world. Learn how they built a secure lane for collaboration with infrastructure as code, observability and NTT DATA's Agile Delivery.

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    Putting MLOps into Action ML Lifecycles and Models

    MLOps can streamline the process of bringing ML models to production while reducing the cost and time of bringing new ML projects to market. Learn how with this dive into the ML lifecycle, ML models and implementation tools.

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