Smart Data Collective

JANUARY 24, 2020

Have you ever heard of the most effective DevOps e.g. Development Operations practices? If you haven’t, then you should start to care about implementing DevOps infrastructure into your business as it helps to deliver applications or any software faster and effectively while spending fewer team efforts. More Focus on Automation.

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The Data Administration Newsletter

MARCH 15, 2022

What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process. And they continuously improve by integrating new insights into future cycles.

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Dataconomy

SEPTEMBER 5, 2023

What’s next: With general availability expected later this year, Duet AI aims to become an indispensable tool for developers, offering extensive support for various IDEs and providing an integrated, all-in-one solution for diverse cloud-based tasks. Google What does Duet AI offer now?

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Alation

AUGUST 3, 2021

DataOps and DevOps are two distinctly different pursuits. But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. What is DevOps? Development Operations, or DevOps, combines the engineering side of product development with the operational side of product delivery.

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DataCentric podcast

AUGUST 19, 2021

While DevOps offers IT organizations the tools required to deliver application transformation, it isn't until you start to incorporate an awareness of "Data" into a DevOps world that the real power to achieve digital transformation can be achieved. 00:00 Roll the tape. 00:00 Roll the tape. 00:00 Roll the tape.

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Data Science Dojo

MAY 25, 2023

In order for businesses to respond to SaaS threats efficiently and adhere to industry requirements, SSPM (SaaS security posture management) poses a vital component. But to safeguard SaaS access, SSPM is frequently insufficient, unfinished, and ineffectual. SaaS app usage oversight is possible with the help of SSPM. Let’s describe SSPM.

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IBM Journey to AI blog

FEBRUARY 22, 2024

With a vast amount of technology training and education available today, it’s difficult to know what deserves your attention and what’s just a marketing ploy. They upskilled 3,000 software engineers for DevOps and cloud-native technologies. Ultimately, this is training that supports the mission of your organization.

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Towards AI

JULY 20, 2023

Why I should have opted for Visual Studio Code for DevOps Visual Studio 2019 is one of the best tools on the market for building applications. Visual Studio 2019 But what if you want to build a simple web application, perhaps using Flask or serverless solutions? Join thousands of data leaders on the AI newsletter.

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The MLOps Blog

JANUARY 23, 2023

The authors give a solid overview of: What MLOps is, Principles and components of the MLOps ecosystem, People/roles involved in doing MLOps, MLOps architecture and workflow that many teams have. Lived through the DevOps revolution. I lead the product and see what users, customers, and other vendors in this corner of the market do.

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IBM Journey to AI blog

MAY 17, 2024

There are many CMMs in practice and organizations must decide what works best for their business needs. There are many CMMs in practice and organizations must decide what works best for their business needs. Why move to cloud? CMMs are a great tool for this assessment.

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IBM Journey to AI blog

OCTOBER 16, 2023

They have become more important as organizations embrace modern development techniques such as microservices, serverless and DevOps, all of which utilize regular code deployments in small increments. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

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Smart Data Collective

MARCH 9, 2023

So, what should companies do? Adopt zero trust protocols The average enterprise relies on an infrastructure sprawl that includes microservices, cloud containers, and DevOps pipelines. AI has arrived in several business spheres. Here are 3 principles every organization must implement to combat AI’s rise in data breaches.

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Dataconomy

APRIL 5, 2024

Design At the initial stage of product development, the design team should create a kind of sketch of the software to give developers an idea of what the final product will look like. Developers need to decide what they will use to develop the application. No idea must be ignored during this session. Image credit ) 4.

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Heartbeat

FEBRUARY 1, 2023

What is MLOps? Comparing MLOps and DevOps DevOps is a software development method that brings together multiple teams to organize and conspire to create more efficient and reliable products. One thing that DevOps and MLOps have in common is that they both emphasize process automation.

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phData

MAY 31, 2023

Some of the most prominently-utilized tools include GitHub Actions, Jenkins, and Azure DevOps. Lastly, before we discuss the actual process, let’s take a quick look at what CI/CD is and why it matters. What Is CI/CD? What Are The Benefits of CI/CD? What follows are the detailed steps to set up OIDC in the AWS account.

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Dataconomy

SEPTEMBER 27, 2023

MCSA and MCSE certifications are highly valuable in the competitive IT industry ( Image credit ) What is MCSA certification? MCSA certifications do not always have prerequisites ( Image credit ) What is MCSE certification? There are several different MCSA certifications available, each of which focuses on a specific area of expertise.

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Dataconomy

SEPTEMBER 6, 2023

What’s next: With an annual hardware event on the horizon and the expected launch of Pixel 8 and Android 14, Google is positioned to continue its trend of offering incremental yet impactful updates, making the Android experience ever more seamless and unified. What changed in the logo? Ready for a refresh? Ready for a refresh?

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IBM Journey to AI blog

NOVEMBER 13, 2023

These existing systems, characterized by outdated technology and architecture can hinder an organization’s ability to keep up with changing business needs and pose significant security and operational risks. Limited scalability: Scaling these systems to accommodate growing demands can be challenging and costly.

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IBM Journey to AI blog

OCTOBER 17, 2023

What is IBM Instana and how does it relate to observability? This solution extends observability to a wide range of roles, including DevOps, SRE, platform engineering, ITOps and development. BTP is SAP’s integration and application development platform for SAP clients, who want to extend their S/4 system.

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IBM Journey to AI blog

MARCH 20, 2024

What is a public cloud? Efficiency: Eliminate wasted resources by paying only for what you use. Cloud-native applications and DevOps A public cloud setting supports cloud-native applications—software programs that consist of multiple small, interdependent services called microservices , a crucial part of DevOps practices.

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DataCentric podcast

FEBRUARY 25, 2022

00:00 Theme Song 01:10 Geting to know Eric 03:15 Forget DevOps, what's the value of cloud-native for Production Workloads? 00:00 Theme Song 01:10 Geting to know Eric 03:15 Forget DevOps, what's the value of cloud-native for Production Workloads? This is happening both in the cloud and on-prem.

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Console DevTools podcast

JULY 5, 2023

We discuss what it's like running physical servers in data centers around the world, why they didn't build on top of the cloud, and what the philosophy is behind the focus on pure compute, networking, and storage primitives. What we wanted was AnyCast, which is kind of a part of the core internet routing technology.

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Smart Data Collective

JUNE 10, 2019

DevOps is a growing field. Developers need to understand the role of distributed systems and how they further the evolution of DevOps. You need to know exactly what you’re including in your log files and why you’re logging that particular kind of data. Distributed systems have come a long way in the last decade.

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Smart Data Collective

SEPTEMBER 25, 2023

In this article, we’ll explore what SBOM is, why it’s essential, and how it plays a crucial role in fortifying the software supply chain. If you’re wondering what is SBOM in its true sense – think of it as a recipe that lists every ingredient used to create a dish.

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IBM Journey to AI blog

MARCH 29, 2024

Understanding the key differences between platforms like OpenTelemetry and Prometheus and what each solution offers, is important before you choose one for implementation. OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights.

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Becoming Human

MAY 11, 2023

What are MLOps Projects? Empowering Startups and Entrepreneurs | InvestBegin.com | investbegin In this article, we will explore the various aspects of MLOps projects, including the challenges they face and the tools and techniques used to overcome them. Model Training: Once the data is ready, it can be used to train machine learning models.

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IBM Journey to AI blog

MARCH 15, 2024

IBM Consulting Cloud Accelerator understands complex program interactions in the current state of applications and microservices and can perform a what-if analysis of possible target states. It provides flexibility to choose what applications to move and when to move them based on business imperatives.

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Alation

SEPTEMBER 21, 2021

Compare this story to what we have today: smartphones with traffic navigation apps that provide us with turn-by-turn directions that continuously try to find the optimal path based on traffic conditions on the route being traveled. DataOps is not DevOps for data, but ambiguity of the term is persistent. The Rise of Gen-D and DataOps.

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IBM Journey to AI blog

NOVEMBER 29, 2023

As part of their modernization journey, clients want to have flexibility to determine what is the best “fit for purpose” deployment location for their applications. This may be in any of the environments that Hybrid Cloud supports (on premises, on a private cloud, on a public cloud or on the edge). initiative.

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Data Science Dojo

AUGUST 24, 2023

What is MLOps? MLOps is a methodology combining ML and DevOps practices to streamline developing, deploying, and maintaining ML models. MLOps is a methodology combining ML and DevOps practices to streamline developing, deploying, and maintaining ML models.

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ODSC - Open Data Science

JANUARY 31, 2023

Getting insight into your system allows you to detect and resolve issues quickly — and it’s an essential part of DevOps best practices. This is especially important for companies moving toward DevOps practices, where production environments have become more automated and continuous delivery pipelines are more complex.

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Towards AI

AUGUST 16, 2023

Thus, MLOps is the intersection of Machine Learning, DevOps, and Data Engineering (Figure 1). The ideal MLOps engineer would have some experience with several MLOps and/or DevOps platforms. Figure 1: Venn diagram showing the relationship among the MLOps-related fields [Wikipedia].

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AWS Machine Learning Blog

FEBRUARY 27, 2024

This is a guest post written by Axfood AB. In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker.

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Machine Learning Machine Learning ML ML 108

Console DevTools podcast

AUGUST 10, 2022

We discuss the role of technology leadership, what engineering managers can do to help their teams, how to best go about recruiting engineers, and whether engineering performance can be measured. We keep track of everything - dev tools, devops, cloud, and APIs - so you don’t have to.

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IBM Journey to AI blog

MAY 18, 2023

It’s also an evolution from the current “fat pipes” method (which doesn’t differentiate between applications) to one that aligns the network to the needs of the business, its users, and its developers, their CI/CD pipeline and DevOps cycles. The probable result of this widely dispersed, distributed world?

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IBM Journey to AI blog

FEBRUARY 28, 2024

Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? For the most part, it’s based on usage, allowing customers to pay only for what they use rather than for capacity. Learn more about IBM NS1 Connect The post What is managed DNS, anyway?

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Analytics Analytics 97

Console DevTools podcast

MAY 10, 2023

We discuss the original motivations for Go, the principles behind the language design, what other projects can learn from how Go manages its open-source community, and what Russ would change about Go if he started again. If we had any sort of telemetry or tracking of what is the build cache hit rate on things like the standard library?

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