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Machine learning model serving architectures

Xebia

Selecting the right architectural serving pattern is paramount in creating the most business value from your model. In this blog we will discuss the most common serving architectures 1 ; batch predicting, on-demand synchronous serving and streaming serving. How to choose your serving architecture? It doesn’t have to be.

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How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

Cybersecurity teams often struggle with securing cloud-native applications, which are becoming increasingly popular with developers. The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Here’s why. What is serverless? How can serverless help?

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Linking Modular Architecture to Development Teams

Martin Fowler

Mobile applications often deliver features rapidly at first, but slow as a codebase builds up. Matthew Foster describes an example of this from his work with clients, and how using Domain-Driven Design and Team Topologies helped create a modular architecture that substantially reduced the time needed to deliver new features.

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How an architecture-led transformation puts the customer first

CIO

With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.

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What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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Application Architecture Design Principles

Dzone - DevOps

For more: Read the Report Designing an application architecture is never complete. Stakeholders require that complex applications be delivered more quickly. This is an article from DZone's 2023 Software Integration Trend Report. Regularly, all decisions and components need to be reviewed, validated, and possibly updated.

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Best Practices for Deploying & Scaling Embedded Analytics

Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach.

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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

Of course, the key as a senior leader is to understand what your organization needs, your application requirements, and to make choices that leverage the benefits of the right approach that fits the situation. How to make the right architectural choices given particular application patterns and risks.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture.

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Monitoring AWS Container Environments at Scale

Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.

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Add Value with a Dashboard Refresh: What You Need to Know

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Dashboards and analytics can really set your application apart, but that doesn't mean you can implement them and forget about them. You'll leave with an understanding of how to figure out the best next steps specifically for you and your application. How to determine when an information architecture refresh may be necessary.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability.