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Step-by-step guide on Providing shared file storage for the company offices on Azure Portal.

Introduction
Create a storage account specifically for file shares
Create and configure a file share with directory
Configure snapshots and practice restoring files

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Dev

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AWS Fargate vs Google Cloud Run: Serverless Container Wars

AWS Fargate and Google Cloud Run are serverless container platforms for deploying and managing containerized applications.
AWS Fargate eliminates the need to manage EC2 instances, supports ECS and EKS, and offers integration with AWS services.
Google Cloud Run scales instances based on incoming requests, supports Kubernetes workloads, and integrates with Google Cloud services.
AWS Fargate is suitable for running microservices and CI/CD pipeline automation, while Google Cloud Run is ideal for API backends and stateless applications.

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Medium

403

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AWS Cloud Cost Optimization- Day16.

Moving from on-premises to the cloud doesn't solve cost optimization challenges for organizations.
Creating EC2 instances and forgetting to delete associated snapshots can lead to unnecessary costs in AWS.
To address this issue, a lambda function can be created to automatically delete snapshots not attached to any volume or EC2 instance.
By using Boto3 module in Python, lambda functions can be executed to optimize costs by removing stale snapshots.

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Dev

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Mastering File Operations in Linux: The Power of cp, mv, mkdir, and More (Day 2 of 30)

Linux file operations like cp, mv, mkdir, rm, and touch are essential tools for organizing and managing files.
The cp command is used to copy files or directories, making it useful for small manual backups or quick duplication.
The mv command can move and rename files and directories, making it helpful for organizing files and managing logs.
The mkdir command is used to create directories, enabling quick setup of organized environments.

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Amazon

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Announcing the General Availability of the Amazon EventBridge Scheduler L2 Construct

Amazon has announced the general availability of the Amazon EventBridge Scheduler and Targets Level 2 (L2) constructs in AWS CDK.
EventBridge Scheduler is a serverless scheduler for scheduling tasks and events at scale.
The L2 constructs simplify configuring EventBridge schedules, groups, and targets for AWS service integrations.
AWS CDK offers constructs at different abstraction levels with L2 constructs providing a higher-level, intuitive API.
The EventBridge Scheduler allows users to create schedules using cron expressions and supports templated and universal targets.
L2 constructs make it easier to configure and integrate EventBridge Scheduler and Targets in CDK applications.
Examples like setting one-time reminders through Amazon SNS and triggering EC2 instances during business hours showcase the usage of L2 constructs.
The constructs handle gluing logic, permissions, and default configurations, simplifying the deployment process.
The ScheduleGroup construct allows organizing schedules and managing permissions efficiently.
Contributions from the community were acknowledged for helping enhance the construct.

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Dev

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Solving the OLTP-OLAP Divide: PostgreSQL B-tree and Hash Indexes for Columnar Data

TimescaleDB 2.18 introduces Early Access support for PostgreSQL's B-tree and hash indexes in the columnstore, offering significant performance gains.
B-tree indexes are ideal for range and equality lookups in hierarchical structures, while hash indexes excel at exact-match lookups using hashing functions.
These specialized indexes, particularly B-tree and hash indexes, play a crucial role in high-performance environments like financial analytics.
The implementation of B-tree and hash indexes in TimescaleDB 2.18 significantly enhances record retrievals and insert operations.
Performance gains include 1,185x faster point lookups with hash indexes and 224.3x faster inserts with B-tree indexes.
B-tree indexes are recommended for range-based filtering and constraint enforcement, while hash indexes are ideal for equality checks.
In a benchmark scenario with a 100 million-row dataset, PostgreSQL's indexing capabilities in TimescaleDB demonstrate substantial performance improvements.
Using B-tree and hash indexes helps in scenarios where fast lookups on non-SEGMENTBY keys, query latency on compressed data, and frequent updates to historical data are required.
The integration of B-tree and hash indexes in TimescaleDB's hypercore engine combines the benefits of rowstore for transactional data ingestion and columnstore for analytics.
TimescaleDB's support for B-tree and hash indexes in hybrid storage systems enhances point lookups, unique constraint enforcement, inserts, and upsert operations while maintaining compression and analytics performance.

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Amazon

339

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Converting embedded SQL in Java applications with Amazon Q Developer

Migrating from Oracle to open source databases like PostgreSQL often involves converting embedded SQL in Java apps, a time-consuming and error-prone task.
AWS offers a solution using Amazon Q Developer and AWS DMS, automating SQL conversion in Java apps for database migration.
Amazon Q Developer, powered by AI, identifies and converts SQL statements from Oracle to PostgreSQL dialects, reducing manual effort.
This automation speeds up the process significantly, minimizes errors, and allows developers to focus on higher-value tasks.
When combined with AWS DMS for schema conversion and data replication, this automated solution streamlines the entire migration workflow.
The solution ensures consistency across the codebase, simplifies technical aspects of migration, and aligns with organizational efficiency goals.
The conversion process is exemplified by transforming Oracle-specific SQL queries from Java classes to PostgreSQL-compatible queries.
The end-to-end testing after conversion involves updating database connection settings, executing test suites, and monitoring for errors.
The approach of automated SQL conversion with Amazon Q Developer offers reduced migration time, improved accuracy, cost savings, and seamless integration.
Authors like Suruchi Saxena, Jason Varghese, and Venugopalan Vasudevan contribute expertise in Generative AI, DevOps, cloud migrations, and solutions architecture.
The collaboration of AI-driven tools like Amazon Q Developer with AWS services enhances database migration efficiency and accuracy.

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The New Stack

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KubeCon Europe: How Kubernetes Handles 6G, LLMs and Deep Space

Kubernetes is facing new challenges such as supporting cutting-edge use cases like Telco deployments for 5G and 6G infrastructure, and reducing latency in analyzing large language models (LLMs) within Kubernetes environments.
Load balancing on Kubernetes is crucial for handling potential latency issues with data transfer, especially in the context of LLMs.
A keynote discussion at KubeCon Europe highlighted LLM-aware load balancing in Kubernetes to enhance efficiency.
Kubernetes infrastructure expansion is crucial for supporting various use cases, including astrophysics research that requires handling vast amounts of calculations.
The focus on load balancing in Kubernetes is essential for efficiently managing large language models and data transfer.
In the telecom sector, open source cloud native tools are playing a critical role in 5G networks and will continue to do so in the future.
Swisscom is leveraging Kubernetes, Flux for GitOps, and CNCF proxies to streamline deployment processes.
Kubernetes is being used in the Square Kilometre Array (SKA) project to manage extreme data- and compute-intensive astronomy use cases.
The SKA project involves analyzing up to 600PB of data annually for research in areas like cosmic domain and solar physics.
Cloud native infrastructure, including Kubernetes, is essential for processing and distributing data in astronomy research projects.

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Javacodegeeks

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Chaos Engineering for Java: Testing Spring Boot Resilience with Gremlin & Litmus

Chaos Engineering helps to identify weak points before users do, validate redundancy mechanisms, and improve observability.
Gremlin provides a SaaS platform to inject failures via API or UI, allowing for controlled chaos experiments.
Litmus is an open-source chaos framework that integrates with Kubernetes, enabling fine-grained control over chaos experiments.
Implementing defensive coding practices, such as retries, circuit breakers, and chaos-aware health checks, can improve the resilience of Spring Boot applications.

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Dev

142

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Canary Release: A Smart Approach to Software Deployment

Canary Releases involve exposing a small portion of users to a new version to detect issues before a full rollout.
Pros of Canary Releases include reduced risk, real-world feedback, faster rollbacks, and gradual performance monitoring.
Cons of Canary Releases include complexity in traffic routing, monitoring overhead, and state and data consistency issues.
Implementing a Canary Release can be done using Spring Boot and Spring Cloud Gateway, as demonstrated in the provided example.

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Amazon

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Introducing the quick start experience for Amazon Q Developer Pro

Amazon Q Developer Pro Tier is recommended for software developers, development teams, and IT Professionals, offering higher limits and enterprise administration.
The Pro tier comes with an analytics dashboard, code customizations, and IP indemnity, requiring AWS IAM Identity Center for most production deployments.
A simplified setup experience has been introduced for teams wanting to try Amazon Q Developer Pro in their IDE quickly.
It caters to scenarios where users don't plan to adopt IAM Identity Center across the organization or want to deploy Pro to isolated users.
IAM Identity Center is essential for Q Developer Pro setup, allowing users to access AWS accounts using existing organizational credentials.
The setup experience involves creating the first user, subscribing to Q Developer Pro, and creating an account instance of IAM Identity Center.
Subscribing additional team members follows, with each user receiving instructions to activate their Q Developer Pro Subscription.
IAM Identity Center users can connect via supported identity providers like Microsoft Active Directory or Google Workspace.
Cleanup involves unsubscribing users from Q Developer Pro and deleting the IAM Identity Center instance.
The new setup experience allows for quick access to Pro features in the IDE, including chat, debugging, and code transformation.

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Dev

367

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Manage your custom Billing Views as code

AWS introduced custom billing views to help manage AWS bill visibility and access.
Earlier, the billing view in AWS was limited to single account view and organizational view.
Custom billing views allow users to create and share separate views for different teams and environments.
AWS CLI can be utilized to automate the creation and sharing of custom billing views in AWS organization.

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Medium

183

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Building a CI/CD Pipeline with AWS: My Journey into DevOps Automation

CI/CD pipeline on AWS using CodePipeline, CodeBuild, and CodeDeploy
Key steps include launching an EC2 instance, connecting to GitHub, managing Java dependencies
AWS CodePipeline stages: Source, Build, Deploy; Challenges and solutions encountered
Lessons learned: IAM permission setup, configuring authentication and repositories, webhook events, build logs, deployment specifications

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Dbi-Services

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My journey to KubeCon 2025 – Day 1

Today marks the author's first day at KubeCon 2025 in London, where excitement and buzz around topics like HAProxy, NGINX, and Kubernetes are already evident.
The event, expecting between 12 and 15 thousand attendees, is described as a unique and grand gathering in the IT space.
Keynote speakers highlighted the integration of AI and LLM in applications to enhance user experience and manage system complexities more effectively.
Initiatives like Microsoft's Headlamp aim to simplify Kubernetes adoption and usage with features like in-cluster web portals and Kubernetes Desktop.
The Linux Kernel is evolving with the integration of Rust and C languages to enhance safety, code maintainability, and security.
A notable use-case presented involved AI-driven sign language interpretation and recognition, showcasing the role of technology in improving lives.
The event also featured various booths representing open source projects, with attendees enjoying swag offerings from companies like RedHat.
Updates on the Certified Kubernetes Administrator (CKA) exam were shared, noting a new version's release with increased difficulty.
Resources like killer.sh and KodeKloud were recommended for exam preparation.
The author also engaged in insightful discussions at booths, including exploring bootable containers with RedHat and discussing potential project collaborations.
The day concluded with a promise to continue the journey at KubeCon in the next blog post, teasing future developments and experiences.

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Medium

105

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This is How DevOps Changed the Game of Software Development.

Agile introduced regularity in software development, which distinguishes it from the Waterfall model.
DevOps emerged as a groundbreaking concept, integrating development and operation teams for faster delivery and higher quality.
DevOps has brought a critical principle that has changed the game of software development.
DORA (DevOps Research and Assessment) revealed key metrics in software development that truly impact business outcomes.

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