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All Together Now: FinOps, Kubernetes, and Platform Engineering

d2iq

Rise of Platform Engineering The movement towards platform engineering as a replacement for DevOps is described in the Cloud Native Computing Foundation (CNCF) webinar “ DevOps is dead. Teams and organizations are leveraging Kubernetes to build platforms supporting their digital transformational efforts. Embrace platform engineering.”

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

The following diagram illustrates the solution architecture. The following are the solution workflow steps: Download the product description text and images from the public Amazon Simple Storage Service (Amazon S3) bucket. All the code for this post is available in the GitHub repo. Review and prepare the dataset.

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Tale of the Beagle (Or It Doesn’t Scale—Except When It Does)

Honeycomb

All are served by our storage engine, “Retriever,” which fetches data for presentation. . This description (especially the part about “examine every event”) naturally lends itself to an architecture—evaluate every event on the way into Honeycomb and store those counts. Time went by. And continued to go by. Six months went by, then 12.

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What is Cloud FinOps?

Perficient

With the benefits of scalability, flexibility, and cost savings, cloud computing has become the go-to solution for businesses looking to stay competitive in today’s fast-paced marketplace. This could involve resizing instances, choosing the right storage type, or implementing automation to eliminate manual tasks. What is FinOps?

Cloud 69
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Surveys Show Kubernetes Crossing the Chasm

d2iq

2013, Google replaced Borg with Omega, a flexible and scalable scheduler for large computing clusters. In a webinar hosted by D2iQ , Forrester Research Principal Analyst Lee Sustar described the key role the cloud has played in making AI capabilities more accessible to a larger number of organizations.

Survey 87
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An overview of 15 commonly used SaaS applications

Openxcell

Scalability- SaaS systems are simple to scale and can easily accommodate the business’s constantly changing needs. It is a platform for collaboration that enables users to set up online webinars, screen sharing, recording, and video/audio conferencing. It makes it easy for businesses to avoid the high cost of licensing.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.