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I Passed the GitHub Foundations Certification: My Honest Experience

Recently, the author took the GitHub Foundations Certification exam and shares their honest experience.
The exam format includes 75 multiple-choice questions and lasts for 120 minutes.
The questions focus on practical scenarios and cover a wide range of topics related to Git and GitHub.
The author recommends studying the GitHub Certification Guide, using the FreeCodeCamp GitHub Course, and gaining real-world experience to prepare for the exam.

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Javacodegeeks

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AI-Powered DevOps: Predicting Failures and Automating Success

AI and machine learning are transforming DevOps workflows by enhancing system reliability, scalability, and efficiency.
AI integrates predictive analytics, intelligent automation, and dynamic resource scaling to detect potential failures before they happen, optimize resource usage and automate routine tasks.
The application of AI in DevOps is beneficial in key areas such as predictive analytics, incident management optimization, resource scaling automation, log analysis, and anomaly detection.
Best practices for implementing AI-driven DevOps include starting with clear objectives, using existing logs and metrics to train machine learning models, adopting AI-powered monitoring tools, integrating AI models with CI/CD pipelines, monitoring AI performance, among others.
The benefits of AI-driven DevOps include improved incident management, proactive problem resolution, enhanced scalability and efficiency, cost savings, and increased developer productivity.
Tools and technologies for AI-driven DevOps include predictive analytics tools such as Splunk and BigPanda, resource scaling tools like Kubernetes and AWS Auto Scaling, and anomaly detection tools like Elastic Stack and Datadog.
Real-world examples of AI in action demonstrate how AI can transform DevOps workflows and enhance operational resilience.
By following best practices and leveraging the right tools, organizations can unlock the full potential of AI-driven DevOps and stay ahead in the competitive tech landscape.

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Dev

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Taming the Wild West of Research Computing: How Policies Saved Us a Thousand Headaches

IBM Research uses two bare-metal OpenShift clusters to provide powerful computing capabilities for AI, quantum computing, and high-performance computing research
The challenges that were faced were a lack of experience using Kubernetes and OpenShift by researchers and resource mismanagement
IBM Research implemented Kyverno, Kueue, and GitOps to solve resource governance challenges, reducing resource contention and over-allocation
Kyverno offered a Policy-as-Code (PaC) framework that uses Kubernetes configuration files and supports four policy types
Kueue offered quota-based scheduling and resource sharing, creating a multi-tenant batch service for hybrid cloud resources
GitOps was leveraged to create a classifier-based sharing scheme to prevent users from monopolizing GPU resources
These improvements reduced resource contention and over-allocation while increasing efficiency, fairness, and user satisfaction
The policies reduced the administrative burden on the team and allowed them to concentrate on their research
Open Source technologies, GitOps, and automation were the keys to success, transforming the cluster into a more stable and efficient environment
This article highlights the importance of good policies and controls to better manage resources and oversee cluster development

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Dev

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Launching EC2 Instances with AWS CLI and Advanced Features

Launching an EC2 instance using the AWS Management Console involves creating an instance, choosing an Amazon Machine Image (AMI), choosing the instance type, setting up configurations, security groups, setting up Storage, and other configurations along with creating a key pair.
Launching an EC2 instance using the AWS CLI includes choosing an Amazon Machine Image (AMI), launching an instance using instance type and security group, adding storage, monitoring the instance, and creating a key pair.
Elastic Load Balancing is an automated service that distributes incoming application traffic across multiple EC2 instances providing advanced routing features for HTTP and HTTPS traffic.
Auto Scaling is a service that automatically adjusts the number of EC2 instances in response to changes in demand. Scaling policies define the number of instances to be scaled in or out based on CPU usage or network traffic.
To optimize your infrastructure for high availability and performance, it is important to consider cost management strategies like Reserved instances, Spot Instances, and Savings Plans that help save up to 90% off regular prices.
In conclusion, the article focuses on launching EC2 instances via AWS Management Console and AWS CLI, along with an overview of Elastic Load Balancing, auto scaling working along with cost optimization techniques.
In the upcoming article, readers will explore EC2 Instance Storage Options, including EBS, EFS, and Instance Store, and discuss when to use each based on their storage requirements.

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Dev

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Where GitOps Meets ClickOps

GitOps and ClickOps are two popular methods for managing applications and infrastructure.
GitOps relies on infra as code and version control, while ClickOps enables quick adjustments and requires manual input.
GitOps is best for stable environments while ClickOps is ideal for testing.
Cyclops, an open source framework for building developer platforms on Kubernetes, aims to handle both GitOps and ClickOps.
Cyclops defines all applications as Modules CRDs that act as a simpler interface for developers.
Modules can be defined via a YAML manifest and stored on a Git repo for use in GitOps workflow.
Cyclops offers a dashboard for developers to view and edit configuration, but immutable fields can only be configured via GitOps workflow.
Cyclops offers the best of both worlds by combining the quick adjustments of ClickOps and the version control of GitOps.
Cyclops released a tutorial to showcase how GitOps and ClickOps can supplement each other.
The tutorial is part of Cyclops' launch week, which aims to introduce the open-source framework for building internal developer platforms.

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Dev

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Setting Up a Production-Ready Kubernetes Cluster with RKE2 in vSphere Using Terraform

Setting up a robust Kubernetes cluster in a production environment using RKE2 in vSphere with Terraform.
RKE2 provides a lightweight yet powerful Kubernetes distribution ideal for secure production workloads.
A reusable Terraform module is used to standardize and automate the Kubernetes cluster provisioning.
Using Terraform and vSphere, an RKE2 Kubernetes cluster can be deployed in a customizable and scalable manner.

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Dev

265

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How to Create Simple Custom Insurance Quoting System with Flexible Pricing Rules

Insurance quoting is a critical touchpoint in the customer journey.
Flexible insurance quoting systems, like Openkoda, address the shortcomings of outdated methods.
These systems allow insurers to set up tailored pricing models and apply specific underwriting rules.
Openkoda enables the creation of custom insurance quoting systems with flexible pricing rules.

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Analyticsindiamag

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What Does It Take to Become the Least Latency Database Platform?

Achieving the lowest latency in database operations has become critical in the modern technology infrastructure.
Aerospike, a distributed NoSQL database platform, utilizes a hybrid memory architecture combining SSDs with DRAM to achieve low latency and reduce storage costs.
Aerospike's architecture enables sub-millisecond latency for write-intensive workloads, handling millions of transactions per second during peak periods.
The platform's use of C language, extensive parallelism, caching capabilities, and scaling through Kubernetes integration contribute to its industry-leading low latency performance.

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Dev

106

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Mastering Packaging and devlopment: Packaging and Running Apps on Gunicorn.

This project demonstrates the process of setting up a web application, packaging it into a reusable module, and deploying it to a Gunicorn server.
Packaging your Flask app is an essential step before deployment. This step involves creating a script that will automate the process of installing the app on a server or another machine.
Once your app is packaged, it's time to deploy it to a server. One popular choice for deploying Flask apps is Gunicorn (Green Unicorn).
Gunicorn ensures that your app is production-ready, scalable, and can handle heavy traffic.
Working on this project presented several challenges, each providing valuable lessons about deployment workflows.
This project was a great way to learn how real-world apps are prepared and deployed.
If you're just getting started with deploying apps, try this approach and consider adding automation tools like Jenkins as you go.
Tools like Jenkins could be used to automate the process of packaging, testing, and deploying an application, saving time and reducing errors.
This step is crucial for ensuring your app is portable and that its dependencies are correctly maintained across different environments.
Gunicorn is a WSGI server that efficiently runs your Flask application in production by handling incoming requests and managing multiple workers.

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Dev

402

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Front-End Deployment Insights: Experiences and Metric Evaluations of Leading Cloud Platforms

This article comprehensively tests the world's mainstream modern front-end deployment platforms from both experiential and quantitative perspectives.
The test subjects include Vercel, Cloudflare Pages, GitHub Pages, and the newly discovered EdgeOne Pages from Tencent Cloud.
The measurement indicators include global access latency, Google Lighthouse metrics and the smoothness of the deployment process.
Vercel offers a great user experience with a clear and tidy data display and supports Serverless functions, allowing easy addition of backend logic to front-end projects.
Cloudflare Pages has a powerful CDN and detailed tutorials, including text and animations, friendly to beginners.
GitHub Pages has become the first choice for front-end beginners learning deployment and has an active community with numerous experts who can solve problems in a timely manner.
EdgeOne Pages is a new website deployment service from Tencent Cloud EdgeOne and provides a global acceleration version of a pre-configured .site domain.
Global access latency is measured based on platform-preconfigured domains and varies from actual scenarios.
Google Lighthouse measures key indicators: CLS, LCP, FCP, TBT, etc., to evaluate webpage performance.
Based on developers' actual situations, EdgeOne is recommended for those on a tight budget, Vercel and Cloudflare for those with high technical selection criteria, and GitHub Pages for newcomers learning front-end deployment.

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Solarwinds

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Navigating the NIS2 Directive and How SolarWinds Can Help

The EU established the Network and Information Security (NIS) directive in 2016, and now an updated version NIS2 has been put in place to address cybersecurity gaps.
NIS2 requires national strategies, competent authorities, cybersecurity risk-management measures, and reporting obligations for specified entities.
Organizations in critical sectors deemed essential will require high levels of NIS2 compliance and reporting obligations.
SolarWinds offers products such as Security Event Manager (SEM), Access Rights Manager (ARM), and Patch Manager that help organizations comply with NIS2 requirements.
SEM provides real-time event correlation, security analytics, and compliance reports, enabling quick detection and response to security incidents.
ARM helps manage and audit user access rights across IT infrastructure and track changes made to improve security posture.
Patch Manager streamlines patch management by automating patching for Microsoft servers, workstations, and third-party applications ensuring systems remain secure and up-to-date.
SolarWinds observability solution offers comprehensive visibility into IT infrastructure, tracking unauthorized activity and providing insight into performance and security issues.
Using SolarWinds tools, organizations can enhance cybersecurity measures, meet the demands of NIS2, and improve the agility and flexibility of security and compliance teams.
For organizations seeking to transform their security posture, SolarWinds offers a suite of cybersecurity solutions that can help build security strength levels.

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Medium

181

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CI/CD for Android Apps: Build and Store Artifacts with GitHub Actions

GitHub Actions is a powerful and flexible tool integrated directly into your GitHub repository.
It allows you to define workflows to automate tasks such as building and testing your app on every push or pull request.
Creating a workflow to build your Android app and store the resulting APK as an artifact is explained.
Automating the Android app's build process with GitHub Actions saves time and reduces errors.

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Dev

310

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Monitoring Modbus via Prometheus and Grafana

The blog post outlines the decisions and challenges faced during the process of bringing modern observability practices to monitoring remote radio sites with a robust and highly available modern observability system that provides near real-time latency.
A 4G IoT router that comes shipped with Teltonika Network's own OpenWrt based operating system could be leveraged to collect and forward data from remote sites to make the process a lot easier.
In this case, Modbus is used to monitor the various analog variables such as battery voltage, solar panel power output, switches, etc. with an ioLogik E2242 from Moxa.
Prometheus and Grafana, both open-source tools, are widely used for monitoring and alerting on infrastructure.
Prometheus is a time-series database that follows a pull model, meaning targets are scraped automatically and the metrics are stored in the time-series database with the time they were scraped. Grafana is an open-source analytics and interactive visualization web application that provides the ability to query and visualize the data gathered by Prometheus.
The Teltonika RUT240 communicates via Modbus with the Moxa ioLogik E2242 to collect data and send it via HTTP to the Modbus exporter, an HTTP server written in Go that stores data in memory and makes it available in the format that Prometheus expects on the /metrics route.
Prometheus periodically polls the /metrics route on the Modbus exporter, reads the values returned, and stores it in the time-series database against the time they were retrieved.
If certain conditions are met (as defined by alerts in Prometheus or Grafana), alerts are triggered and sent out through the appropriate channels like webhook, mobile, or email.
The main challenge for developing the Modbus Prometheus exporter was in gathering information from Teltonika via POST requests, and it was important to provide some buffer time and set a health flag to invalidate any data on the /metrics route.
The Modbus Prometheus exporter provides the ability to invalidate data on missed data and is easy to deploy and configure. Go, used extensively for web development is used due to its powerful performance, internet friendly, fast garbage collection, and maintenance and learning ease.

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Dev

239

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Application Programming Interface

API (Application Programming Interface) is a set of rules and protocols that allows different software applications to communicate with each other.
API Management involves the creation, publication, monitoring, and management of APIs in a secure and scalable manner.
Task: Create a Simple REST API using Flask and Deploy it on AWS
Optional: Use AWS Elastic Beanstalk for automated deployment.

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Silicon

350

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Google Asks Appeal Court To Throw Out Epic App Store Verdict

Google has filed an appeal to throw out the jury verdict and judge’s order in the Epic Games lawsuit regarding the Google Play Store's payment system.
Epic Games had filed a lawsuit against Google and Apple in 2020 over the 30% commission charges on their respective app stores.
In December 2023, a jury trial found that Google's app store and billing service constituted an illegal monopoly.
Google argues that the court's order for significant changes to the Google Play Store's payment system will harm consumers, developers, and device makers.

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