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Software infrastructure 2.0: a wishlist

Erik Bernhardsson

Software infrastructure (by which I include everything ending with *aaS, or anything remotely similar to it) is an exciting field, in particular because (despite what the neo-luddites may say) it keeps getting better every year! Anyway, I feel like this applies to like 90% of software infrastructure products. Ephemeral resources.

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Etsy's observability and ML infrastructure teams moving to the cloud

Martin Fowler

continue their account of how Etsy used the cloud to scale up by describing the journey of two teams : observability and ML infrastructure. Tim Cochran and Keyur Govande.

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Infrastructure-as-Code Pitfalls in Platform Engineering

DevOps.com

In the context of cloud operations, the last decade was ruled by DevOps and infrastructure-as-code (IaC). Is it operators learning development skills to automate infrastructure provisioning using infrastructure-as-code (IaC) tools like Terraform? But what is true DevOps? Is it developers running their own operations?

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Managing complex infrastructure using AWS CDK and Go

Xebia

In this article we are not going to discuss K8s infrastructure and the applications. Project Structure There are several examples one can find online on writing Infrastructure as Code (IaC) using the AWS CDK and Go. The time has come to reproduce the same solution using Golang.

AWS 130
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MLOps 101: The Foundation for Your AI Strategy

What are the core elements of an MLOps infrastructure? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?

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Infrastructure as Code: Exploring Terraform's Dominance

Dzone - DevOps

Infrastructure as Code (IaC) has emerged as a pivotal practice in modern software development, enabling teams to manage infrastructure resources efficiently and consistently through code. This analysis provides an overview of Infrastructure as Code and its significance in cloud computing and DevOps.

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Managing K8S Infrastructure and Applications on AWS: The Imperative Way

Xebia

The question quite simple: How can we manage K8s infrastructure and applications using one codebase and high level programming languages? In the coming paragraphs we will identify how we can write Infrastructure as Code (IaC) as well as the K8s workload definition for an application that will be deployed on AWS.

AWS 130
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Cloud-Based Solutions: The Sky Is the Limit for Retail Success

Speaker: Ryan Bryers, SVP of Global Engineering

While many businesses still rely on store-level infrastructure, it's time to embrace the unlimited potential of the cloud! In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.

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The Business Value of MLOps

How to determine the benefits of an MLOps infrastructure. Download the report to find out: How enterprises in various industries are using MLOps capabilities. Which organizational challenges affect MLOps implementations.

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Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.

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Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

Security teams need visibility into their applications, infrastructure, and network, while development and operations teams need the ability to secure the services they own.

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Understanding Cadence Workflow for Developers and Architects

This whitepaper will dive into a brief history of Cadence, how workflows can be put into practice, and how you can apply Cadence to your data infrastructure. Explore the basics of Cadence and understand the benefits it can provide to your organization.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Avoiding common analytics infrastructure and data architecture challenges. Using predictive/prescriptive analytics, given the available data. The impact that data literacy programs and using a semantic layer can deliver. Thursday, July 29th, 2021 at 11AM PDT, 2PM EDT, 7PM GMT.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Interpret and make decisions from a cloud data analytics infrastructure. In this webinar, you will learn how to: Take advantage of serverless application architecture. Optimize serverless and managed data processing pipelines. Take your product a step further in the cloud with ML and AI services. And much more!

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The Ultimate Embedded Analytics Guide

Ensure the solution is built on scalable, cost effective infrastructure. However, in order to successfully expose analytics to customers and partners, companies are faced with three main challenges: Manage complex data (big and disparate datasets) quickly. Share data and insights securely.