Devops latest news and discussion articles on Techminis

A naukri.com initiative

New

Home

Devops News

Dev

295

Image Credit: Dev

How to Use Generative AI for Video Production?

Generative AI is revolutionizing the video production landscape, making workflows more efficient, inspiring creativity, and enabling teams to create high-quality content faster than ever before.
AI tools can assist with scriptwriting, automated video editing, AI-generated visuals and animation, voiceovers and AI-generated audio, and content personalization and scaling.
AI can help craft engaging scripts, automate video editing processes, generate stunning visuals and animations, provide customizable voiceovers, and produce personalized videos for different platforms and audiences.
Using generative AI in video production can significantly enhance efficiency, creativity, and scalability while maintaining quality and reducing costs.

Read Full Article

17 Likes

Dev

Image Credit: Dev

Why there is an increased need for Multicloud Cost Governance with increasing cloud adoption?

Complex Billing Structures: Understand the intricacies of pricing models from different cloud providers. Simplify the process by utilizing tools that consolidate billing data for easier analysis.
Unified Visibility is Essential: Lack of centralized cost visibility can lead to overspending. Leverage cloud management platforms that provide a single-pane-of-glass view into multi-cloud expenses.
Standardized Resource Management: Define consistent resource types, architectures, and configurations across clouds to reduce inefficiencies and optimize utilization.
Avoid Vendor Lock-In Without Sacrificing Efficiency: Mitigate lock-in risks by using cloud-agnostic automation tools and frameworks to maintain portability and control costs effectively.

Read Full Article

3 Likes

Kubernetes

184

Kubernetes v1.32: QueueingHint Brings a New Possibility to Optimize Pod Scheduling

Kubernetes v1.32 introduces QueueingHint, a scheduling context element that improves Pod scheduling throughput.
The Kubernetes scheduler stores all unscheduled Pods in an internal component called the scheduling queue.
Prior to v1.32, scheduling retries for unschedulable Pods were executed for no reason.
QueueingHint subscribes to a particular kind of cluster event to decide if each incoming event could make the Pod schedulable.
QueueingHint implementation started in version v1.28 with a few in-tree plugins, and eventually implemented in all the plugins by v1.32.
KEP-4247: Per-plugin callback functions for efficient requeueing in the scheduling queue.
Join Kubernetes SIG Scheduling for more information on these features.
The scheduling queue consists of ActiveQ, BackoffQ, and Unschedulable Pod Pool.
All scheduling features are implemented as plugins and processed in phases called cycles.
QueueingHint improves the scheduler's retries for previously unschedulable Pods that could now be scheduled due to changes in the cluster.

Read Full Article

11 Likes

Dev

141

Image Credit: Dev

🎨 DevCycle Feature Flag Challenge: Background Color Changer Magic!

The Background Color Changer is a simple and interactive project that allows users to change the background color of a web page by clicking on color boxes.
The web page displays a selection of color boxes. Click on any box, and the background color will instantly change to match the selected box.
The project has a file structure with an index.html file defining the web page structure, a style.css file adding style to the page, and a script.js file implementing the color-changing functionality using JavaScript.
This project was built as part of the DevCycle Feature Flag Challenge and could qualify for additional prize categories such as Best Design and Best Beginner-Friendly Project.

Read Full Article

8 Likes

The New Stack

287

Image Credit: The New Stack

Kubernetes 1.32 Aces API Conformance Testing

Kubernetes marks its completion of 10 years development with the release of its 1.32 version, which now includes a logo featuring a statue of Penelope from Greek mythology.
The release is the first release to pass, with a 100% score, the whole suite of conformance testing for Kubernetes. It indicates completion of a large backlog of tests that guarantee that the Kubernetes API all work in the way they are described in the specifications.
The revamped release of Dynamic Resource Allocation addresses limitations that surfaced after the previous version. It matches workloads to specialized hardware including GPUs, FPGAs and network adapters favored in the high-performance computing community.
Windows nodes in Kubernetes clusters can now be “gracefully” shut down with the latest release.
The VolumeGroupSnapshot API allows users to take a snapshot of multiple volume together and is considered a significant feature.
Kubernetes 1.32 includes pod-level resource allocations that improve the ability to set up resource requests and limits at the pod level.
The Kubernetes Conformance test suite covers APIs, networking, storage and scheduling. It verifies that Kubernetes does what its APIs were designed to do with full fidelity, and also verifies that a Kubernetes distribution is fully compatible with the Kubernetes specification itself.
Contributing to conformance testing requires a strong understanding of Kubernetes, particularly in the areas where endpoints need to be tested.
Kubernetes 1.32 comes with 44 enhancements of which 13 are graduating to Stable, 12 are entering Beta, and 19 have entered Alpha.
Members of the Kubernetes v1.32 release team will hold an online discussion on Jan. 9, 2025, at 5 p.m. (UTC) to go over the changes brought about by Kubernetes 1.32 in more detail.

Read Full Article

17 Likes

Dev

163

Image Credit: Dev

Day 11: Docker Compose

Docker Compose is a tool that helps you define and run multi-container applications.
Instead of long docker commands, you write a YAML file that describes your entire application stack.
Docker Compose creates the network, volume, builds the image, and starts the container with specified configuration.
You can add more complexity to the application by adding additional services and defining dependencies.

Read Full Article

9 Likes

Dev

Image Credit: Dev

How to Measure DORA Deployment Frequency

Deployment frequency is a key DORA metric to measure throughput in DevOps.
It measures how often code is pushed to production.
To measure deployment frequency, average the number of pushes to production over a specific time interval.
Elite-performing teams have a deployment frequency of multiple times per day.

Read Full Article

1 Like

TechCrunch

175

Image Credit: TechCrunch

Microsoft’s M12 invests another $22.5M into NueBird, months after its $100M valuation seed round

Microsoft's M12 has invested an additional $22.5M into NueBird.
NueBird, founded by Gou Rao and Vinod Jayaraman, aims to automate IT site reliability operations tasks with AI.
They have developed Hawkeye, an AI-powered SRE that can quickly identify and resolve issues.
The investment from Microsoft's M12 will help NueBird expand and bring its solution to a larger market.

Read Full Article

10 Likes

TechCrunch

420

Image Credit: TechCrunch

Microsoft’s M12 invests another $22.5M into NeuBird, months after its $22M seed round

Microsoft's venture fund M12 has invested an additional $22.5 million into NeuBird, a startup focused on automating IT site reliability operations tasks with generative AI.
NeuBird's AI-powered SRE solution, Hawkeye, quickly identifies, diagnoses, and resolves issues, allowing human engineers to focus on more strategic work.
The partnership with Microsoft could help NeuBird expand its solution to a larger market, as many of its customers run on Azure cloud.
NeuBird's seed extension round, led by M12, aims to raise larger funding in the future and the valuation for this round was higher than the previous financing.

Read Full Article

25 Likes

Medium

240

Image Credit: Medium

Istio-Proxy Chaos in the Middle of a Snowy Morning

An alert popped up: One of our production services had gone down.
The production service was experiencing intermittent issues connecting to the PostgreSQL database.
Troubleshooting steps included updating memory using Terraform and applying changes.
By using correct pod annotations and isolation, memory consumption by istio-proxy sidecars improved significantly.

Read Full Article

14 Likes

Microsoft

Image Credit: Microsoft

New Boards Hub Rollout Expectations

The rollout of the New Boards Hub in Azure DevOps is progressing steadily.
60% of customers now have the New Boards Hub set as their default experience.
Customers are being transitioned to exclusively use the New Boards Hub, with no option to revert to the old experience.
By April 2025, the goal is to fully convert all customers to the New Boards Hub.

Read Full Article

3 Likes

Dev

266

Image Credit: Dev

Building Multi-Store Capabilities with PrestaShop

PrestaShop, an e-commerce platform offers multi-store capability within one installation for businesses of all sizes.
Multi-store functionality allows managing assorted stores from a centralized location & saves time and efforts.
Businesses can have different branding for each store but use the same backend infrastructure.
This saves hosting costs and simplifies software maintenance as a business can run various storefronts under one installation.
Multi-store features enable a business to segment its products, either by geographical area, product category, or customer type.
With multi-store installations, businesses are able to share products, customers, and inventory between stores.
To set up a multi-store environment, you need to enable multi-store mode, create new stores, configure products, categories, and inventory and customize store settings.
Here are some best practices to keep in mind while running multiple stores on PrestaShop: Uniform Branding, Upgrades, Analyze Performance, Centralized Support, A/B Testing, Inventory Synchronization and Leverage Third-Party Tools.
Multi-store capacity building in PrestaShop can give businesses control, enhance flexibility in brands & segmentation of the market for better customer experiences.
With the right planning & execution, you can ride out the powerful multi-store features that PrestaShop has.

Read Full Article

16 Likes

Dev

133

Image Credit: Dev

Mastering MySQL's Query Cache: Key Variables and Best Practices for Optimization

MySQL Query Cache can cache the results of SELECT queries to improve database performance.
Query Cache avoids the time-consuming steps of query processing and disk access by leveraging the memory access speed.
The 'query_cache_type' variable controls whether the query cache is enabled, disabled, or set to operate only on demand.
The 'query_cache_size' variable determines the amount of memory allocated for the query cache.
The 'query_cache_limit' variable sets the maximum size for individual query results that can be cached.
The 'query_cache_min_res_unit' variable determines the minimum size in bytes for blocks allocated by the query cache.
It is important to consider factors such as query patterns, cache invalidation, concurrency, and MySQL version when adjusting cache settings.
The QCache Fragmentation and QcacheDeleteRate can be used to monitor the Query Cache's performance.
Adjusting the Query Cache size and optimizing queries can help reduce Qcache Fragmentation and QcacheDeleteRate.
Tools like Releem can simplify the process of optimizing Query Cache settings by automating adjustments based on actual system load and performance.

Read Full Article

8 Likes

Dev

Image Credit: Dev

Optimizing Docker Image Size for Java Applications: Multi-Stage Builds & JLink Explained

Optimizing Docker images is essential for enhancing efficiency and scalability.
Multi-stage builds and JLink are practical techniques for optimizing Docker images.
Using Multi-Stage Build: Caching dependencies results in more efficient and smaller Docker image.
Dividing build and runtime stages ensures that only necessary things make it to final image.
Optimizing the Dockerfile reduces the image size and makes it more efficient with less unnecessary dependencies.
JLink creates a minimal Java runtime that includes only the necessary modules and removes unneeded files.
Optimized images load faster, reduce attack surface and boost deployment times in cloud environments.
Using multi-stage builds and creating minimal runtimes can significantly decrease image sizes, improve build performance, and reduce vulnerabilities.
The optimization process with the Spring PetClinic application reduced image size from 518MB to 128MB.
Adopting these best practices can save resources and enhance security in production environments.

Read Full Article

Dev

343

Image Credit: Dev

What is AWS Step Functions? - A Complete Guide

AWS Step Functions simplifies workflow management by connecting AWS Lambda and other AWS services to automates complex processes for seamless execution
Common use cases for AWS Step Functions include e-commerce workflows like order validation and payment processing, data processing, error handling, and automation
To design a workflow using AWS Step Functions, define your workflow using Amazon States Language (ASL), add state types like Task, Choice, or Parallel states for specific actions, handle errors using Catch and Retry blocks, and integrate with AWS services like Lambda, DynamoDB, and S3
Benefits of AWS Step Functions include simplified workflows, built-in error handling, parallel execution, and cost efficiency
AWS Step Functions is a serverless orchestration service that connects different AWS services to work together seamlessly
Step Functions visualizes workflows using States Language (ASL) and defines each step as a state
There are three state types: Task, Choice, and Parallel which can be used for specific actions
Best practices include proper error handling, efficient state management, and thorough monitoring using services like AWS CloudWatch and X-Ray
Advanced features of AWS Step Functions include Dynamic Parallelism, Integration Patterns, and Performance Optimization
To save on cost, optimize state transitions, use Lambda Provisioned Concurrency and service integrations, and design workflows efficiently

Read Full Article

20 Likes

For uninterrupted reading, download the app

Devops News

Discover more