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Sync Kubernetes Secrets to AWS Secrets Manager Using external-secrets PushSecret

Managing sensitive information in Kubernetes can be done using the external-secrets operator.
PushSecret, a feature of external-secrets, allows synchronizing Kubernetes Secrets to AWS Secrets Manager.
The process involves installing external-secrets, setting up AWS credentials, configuring SecretStore, and configuring PushSecret.
PushSecret enables sharing and synchronizing sensitive information between Kubernetes and AWS.

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Siliconangle

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MinIO’s mission to streamline AI infrastructure: Inside AIStor

MinIO Inc. has created AIStor, a commercial product designed to centralize data for AI applications.
AIStor simplifies AI infrastructure while providing performance for data-intensive applications.
MinIO's approach is to embed AI capabilities directly within the storage platform to maximize the value of AI investments.
MinIO focuses on making AI accessible through simplified, familiar application programming interfaces.

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Siliconangle

213

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Red Hat modernizes virtual workload infrastructure on new platform

Red Hat is offering OpenShift Virtualization on its AI development platform to assist customers with their virtual machine workloads.
The company has released a series of enhancements to its AI services, with a focus on hybrid solutions for traditional VMs.
Updates include features for OpenShift Virtualization, prevention of bias in AI models, and a new data drift detection monitor.
Red Hat is prioritizing security by introducing user-defined networks to isolate customer information.

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Siliconangle

239

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Scaling innovation with open source: Kubernetes driving AI transformation

Kubernetes machine learning is reshaping the tech landscape, enabling AI scalability.
Open-source tools like Kubernetes offer transparent infrastructures and remove vendor lock-in.
Companies leveraging Kubernetes experience streamlined infrastructure management and operational resilience.
Adoption of open-source tools raises new challenges in security and regulatory compliance.

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Siliconangle

11h

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How GitLab and Google Cloud Marketplace streamline deployment and improve customer satisfaction

Google LLC and GitLab Inc. have partnered to reshape developer productivity and security by combining tools and resources, creating a streamlined experience that reaches customers faster, and simplifies deployment.
The collaboration enhances the developer experience by simplifying procurement and optimizing deployment through these cloud-based security solutions on Google Cloud Marketplace.
The partnership accelerates GitLab’s time-to-market and elevates customer satisfaction by providing an integrated, seamless experience that eliminates productivity interruptions.
Google Cloud Marketplace is designed to streamline software procurement, making it easier for customers to find and purchase cloud-based security solutions. It aims to foster an ecosystem where innovation can reach the market faster.
The collaboration between Google Cloud and GitLab centers around speed, flexibility, and ease of integration. By combining resources, they allow developers to leverage GitLab capabilities directly on Google’s infrastructure, streamlining workflows.
Google Cloud Marketplace opens new opportunities for GitLab by expanding its reach and visibility among potential customers. The partnership offers simplified transactions, using Google Cloud credits for GitLab purchases; this helps increase visibility and convenience.
GitLab’s partnership with Google Cloud is grounded in delivering a comprehensive development, security, and operations experience, enhancing cloud-based security solutions, and streamlining workflows through deep integrations.
Combining Google Cloud’s AI capabilities and GitLab’s expertise, the two companies enhance developer experiences, speed up delivery times, and offer cloud-based security solutions.
The collaboration allows developers to work seamlessly without leaving their preferred environment, and embeds GitLab into Google Cloud’s Developer Console. It keeps developers happy together and allows fast-paced transformations across diverse enterprise operations.
Airwallex, an Australian fintech company, achieved faster deployments and feature delivery by leveraging the partnership between GitLab and Google Cloud. They consolidated GitLab and Google services which led to quicker deployments.

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Siliconangle

13h

257

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Google Cloud updates Kubernetes Engine with support for trillion-parameter AI models

Google Cloud has upgraded its Kubernetes Engine's capacity to support larger AI models.
The upgrade includes support for 65,000-node clusters, up from the previous 15,000-node clusters.
The increased capacity enables handling of complex and resource-intensive AI workloads.
The transition to Google's distributed database, Spanner, allows for virtually unlimited scale and improved latency.

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Dev

14h

272

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Deploying Your First Web Server with Docker: A Beginner's Guide.

This guide provides a step-by-step process for creating a Nginx web server with Docker, ideal for beginners in DevOps.
The prerequisites include having Docker installed and a basic understanding of web servers.
The process involves writing a simple HTML file, creating a Dockerfile with the necessary instructions, building the Docker image, running the container, and testing the web server.
The guide also provides information on stopping the container, removing it, and explores potential expansions and applications of Docker for web development.

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Siliconangle

15h

339

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New Relic unveils AI-powered observability solution for streamlined Kubernetes monitoring

New Relic has announced one-step observability for Kubernetes, a solution to simplify monitoring dynamic Kubernetes environments.
The new feature automatically instruments application performance management with Kubernetes deployments, eliminating the need for additional configurations.
The solution offers AI-powered insights, dashboards, and views to manage Kubernetes faster, improving incident resolution and developer productivity.
Key features include streamlining collaboration between developers and platform teams, AI-powered insights for issue diagnosis, and native support for Prometheus and OpenTelemetry.

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20 Likes

Medium

33m

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AI-Driven DevOps: How Machine Learning is Automating CI/CD Pipelines

AI and machine learning are enhancing DevOps automation by providing predictive and adaptive capabilities.
ML models can analyze historical data to make decisions, identify issues early, and optimize CI/CD processes.
One practical use case is using ML to detect anomalies in application build logs within a GitHub Actions workflow.
AI-driven DevOps enables smarter automation, freeing up developers to focus on core functionalities.

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3 Likes

Amazon

34m

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Amazon Q Developer plugins now generally available for the AWS Management Console

Amazon Q Developer plugins for Datadog and Wiz in the AWS Management Console are now generally available.
Amazon Q Developer is a chat service for questions related to AWS services available in the console.
Plugins for third-party developer tools aim to create a single pane of glass for the applications' operational lifecycle.
Amazon Q's prefix recognizes the plugin you want to use for the query, which provides additional context and information from the tool.
Datadog's plugin provides unified, real-time observability and security to troubleshoot, optimize, and secure cloud resources.
Amazon Q can retrieve Datadog information to answer questions about how Datadog features work with certain AWS services and generate automatic summaries of top cases or alarms.
Wiz's plugin democratizes security across the development lifecycle and provides data on issues with critical severity, security posture of resources, list of issues based on certain properties, and external vulnerabilities.
To use third-party plugins, subscribe to Amazon Q Developer Pro Tier, configure the third-party credentials in Secrets Manager, use the @datadog or @wiz prefixes, and provide relevant information for best results.

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The New Stack

10h

232

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Devtron’s Kubernetes Dashboard Tracks GitOps-Driven Apps

Devtron 1.0, an open source platform to manage applications on Kubernetes, has been launched at KubeCon+CoudNativeCon North America.
The platform provides an end-to-end CI/CD pipeline for Kubernetes through Helm or GitOps with ArgoCD.
Devtron 1.0 introduces an extensible Kubernetes dashboard to oversee clusters and manage Helm-defined applications.
Devtron offers advanced functionality like canary deployments, A/B testing, and automated rollbacks.

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Siliconangle

15h

284

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MinIO debuts object storage built for AI workloads

MinIO Inc. has released a version of its cloud storage service, AIStor, designed to support all types of artificial intelligence training data in one infrastructure.
The new service includes an S3 application program interface called promptObject that allows users to manage unstructured objects like they converse with a large language model.
A private API compatible with Hugging Face Inc.'s repository of open-source AI models enables organizations to create their own data and model repositories on a private cloud or in air-gapped environments without code changes.
MinIO's survey found that over half of respondents plan to build a data lakehouse on an object storage foundation within the next 12 months, and 41% already use or plan to use object stores to support AI workloads.

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Medium

15h

252

Image Credit: Medium

Speed Means Nothing Without Real Feedback

The agile era of software delivery puts too much emphasis on speed and ignores the other benefits of small batches.
Small batches remove complexity and prevent dangerous interactions when implementing changes in software development.
Small batches allow for redirection of investment and provide opportunities for early feedback, ensuring the intended impact of efforts.
Organizations that prioritize speed over feedback fail to connect the importance of feedback to their goals.

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15 Likes

Devopsonline

16h

102

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How open-source is shaping the future of innovation

Open-source technology has significantly shaped how industries approach complex technical challenges and foster innovation.
Democratizing open-source technology and science by providing accessibility, adaptability, and affordability.
Accelerating innovation through collaboration and collective problem-solving.
Open source plays a valuable role in addressing sustainability challenges and supporting startups in disruptive innovation.

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Solarwinds

16h

267

Image Credit: Solarwinds

Join SolarWinds (and Sascha Giese) at Microsoft Ignite

SolarWinds and Sascha Giese will be present at Microsoft Ignite in Chicago.
SolarWinds Tech Evangelist Sascha Giese will be running group demos at the booth.
SolarWinds customer Joshua Coursey will share details of their experience at the event.
SolarWinds Observability and its AI and machine learning capabilities will be showcased at the event.

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