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Medium

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Top 5 IT Skills to Master in 2025 for Career Growth and Opportunities

Artificial Intelligence and Machine Learning (AI/ML): AI and ML are core technologies with growing influence across industries. Learning these skills opens doors to roles like Machine Learning Engineer and Data Scientist.
Cybersecurity: With increasing cyber threats, cybersecurity expertise is highly valuable. Roles like Cybersecurity Analyst and Ethical Hacker are in demand as organizations invest in protecting user data and systems.
Cloud Computing: Mastering cloud technologies positions you at the forefront of IT innovation. Cloud computing enables scalability and cost reduction. Roles such as Cloud Engineer and DevOps Cloud Specialist are lucrative.
Data Analytics and Big Data: Data-driven decision-making is crucial in every industry. Proficiency in data analytics and big data technologies leads to roles like Data Analyst and Big Data Engineer.
DevOps: DevOps methodology and automation accelerate delivery and improve quality. DevOps Engineers and Automation Specialists are in demand as companies seek seamless code deployment.

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Dev

195

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Discover Cyphernetes: a Query Language for Kubernetes

Cyphernetes is a query language for Kubernetes based on Cypher.
It allows you to query and mutate Kubernetes resources in a natural way.
You can create, read, update, and delete Kubernetes clusters.
The Cyphernetes tool comes with a CLI, a web interface, and a Kubernetes operator.
Queries can be executed by queries or by using a shell.
Cyphernetes have macros, a kind of alias for your queries.
Unfortunately, the web interface and several macros are not working properly.
It can be a suitable tool for developers but for Ops, SysAdmin, or SREs, using kubectl commands is a more efficient approach.
Cyphernetes is a young tool and still not mature, but future releases could potentially address the current issues.
Overall, this tool could be something worth watching out for in the future.

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Nordicapis

116

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The Importance of API Security in DevOps

APIs introduce serious security risks, making API security crucial for every DevOps strategy. Implementing API security within DevOps also allows for automated security testing and minimizes the risk of data breaches and security leaks through early identification and remediation of vulnerabilities within the DevOps pipeline. DevOps teams must integrate seamless and secure API security within the DevOps environment using strategies like encrypting API data when it's both in transit and at rest and using static code testing and vulnerability scanning tools. Organizations must consider challenges like rapid development cycles, balancing speed and security, and shifting security culture.
APIs make up 71% of web traffic which creates a large attack surface for malicious actors. DevOps relies on several APIs, creating more vulnerabilities. Netizens must take additional steps to remove their personal information from the internet to avoid risks of data breaches. Financial institutions, as well as healthcare providers, use DevOps with integrated API security for secure and reliable online banking transactions and sharing patient data safely with other hospitals, clinics, and pharmacies.
Securing APIs helps ensure that only authorized users and services can access data, safeguarding the entire development and deployment cycle. By integrating adequate security measures into the DevOps pipeline, developers can build secure APIs quickly without hindering agility. DevOps teams can use API gateways with built-in security features and security information and event management (SIEM) systems to enable centralized logging and threat detection.
Following the guidelines can help integrate seamless and secure API security within the DevOps environment. But, integrating API security in a DevOps environment doesn't come without challenges. Organizations must consider using relevant API security tools like Burp Suite or OWASP ZAP within their CI/CD pipelines to help identify vulnerabilities in the early development process to counteract security checks and misconfigurations getting overlooked. Additionally, organizations implementing API security changes could consider gamified learning platforms to expose DevOps teams to real-time insights into the implemented security changes.
Finding the right balance between thorough security testing and maintaining fast deployment cycles is crucial within the DevOps environment. Securing APIs should not come at the cost of application performance, and striking a balance between speed and security can be difficult. DevOps teams can approach the issue by implementing lightweight, efficient security protocols and optimizing encryption methods.

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Kubernetes

313

Enhancing Kubernetes API Server Efficiency with API Streaming

Managing Kubernetes clusters efficiently is critical, especially as their size is growing.
A significant challenge with large clusters is the memory overhead caused by list requests.
To better visualize the memory overhead challenge, a synthetic test was conducted using the kube-apiserver which crashed at approximately 16:40, when serving only 16 informers.
The issue of overflowing memory, leading to resource exhaustion, raises a genuine risk and the need to optimize the API server for better efficiency.
Kubernetes 1.32 has recently announced a major improvement in API streaming technology to address efficiency and stability concerns. With the graduation of the watch list feature to beta, client-go users can opt-in to streaming lists via a special category of watch requests, which reduces the temporary memory footprint significantly.
By streaming each item individually instead of returning the entire collection, the new method maintains a constant memory overhead.
The results showed significant improvements with the watch list feature enabled, as Kubernetes' increased memory consumption stabilized at approximately 2 GB, while memory usage with the feature disabled increased to 20 GB.
API Priority and Fairness has proven to reasonably protect kube-apiserver from CPU overload, however, this has a smaller impact on memory protection. As an increasing number of Kubernetes API requests with large response bodies flood in simultaneously, OOM crashes can be expected without optimization.
To enable API streaming for your component, you need to upgrade to Kubernetes 1.32 and ensure etcd is running on version 3.4.31+ or 3.5.13+, as well as changing your client software to use watch lists.
While the feature is in beta, only core components like kube-controller-manager have it enabled by default. A watch list feature is expected to become available in other core components like kube-scheduler or kubelet, once it becomes generally available.

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Dev

255

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How to install etcd cluster for dummies

etcd is a distributed, reliable key-value store designed to safely store and manage the configuration data required by distributed systems.
etcd provides consistency, fault tolerance, and coordination for distributed systems like Kubernetes.
To set up an etcd cluster, you need at least three nodes with root privileges and basic networking configured.
You can use the provided installation script to automate the installation and configuration process.

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Dev

167

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Unraveling the Magic of Regular Expressions: The Ultimate Guide to Mastering Sed, Gawk, and POSIX Patterns🚀

Regular expressions (RegEx) are the unsung heroes of the software development world.
A regular expression engine is a program that interprets and matches a regular expression (RegEx) against text data.
When you're working with tools like sed or gawk, it's crucial to understand which engine they use, as this will determine the syntax and features available for pattern matching.
In gawk, you have full access to POSIX ERE syntax.
One of the most powerful features of regular expressions is the ability to match patterns, regardless of the surrounding text.
The dot is another essential feature in regular expressions.
Character classes allow you to specify a set of characters to match.
POSIX Regular Expressions offer a number of predefined character classes.
In POSIX Extended Regular Expressions (ERE), you can use parentheses () to group parts of your pattern.
One of the most powerful features in POSIX Extended Regular Expressions is the use of curly braces {} to specify repetitions.

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Dev

276

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🚀 Mastering Docker for DevOps Success 🐳

As a DevOps engineer, mastering Docker is non-negotiable! Here's your comprehensive guide to essential Docker commands that will streamline your workflow and elevate your efficiency.
We'll dive deep into each command, exploring their options, use cases, and best practices.
Master these essential container management commands, Image Management commands, Comprehensive networking commands for container connectivity, Complete volume management for persistent data. Detailed Docker Compose commands for service management. Comprehensive debugging and inspection commands.
Resource Management, Logging Configuration and Security Hardening are Production best practices. Monitor container health and Clean up system regularly.
Remember that effective Docker usage isn't just about knowing the commands – it's about understanding when and how to use them effectively.
Let's build, ship, and run with confidence!

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Dev

168

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11th Dec 2024 — OpenAI's Kubernetes Outage Explained

OpenAI faced a major platform outage lasting four hours on December 11th, 2024.
The outage was caused by a faulty deployment of a telemetry service, which overwhelmed the API server with resource-intensive API calls.
The issue went unnoticed until it propagated to the largest clusters, leading to unresponsive DNS-based service discovery and preventing access to the Kubernetes control plane.
OpenAI aims to prevent future outages by improving phased rollouts, conducting fault injection testing, decoupling the Kubernetes data plane from the control plane, and implementing a break-glass mechanism for accessing the API server.

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Dev

297

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Integrating AWS Services with Stripe for Seamless Payment Solutions

Integrating AWS services with Stripe offers a secure and scalable solution for online payment processing, catering to modern e-commerce demands.
AWS provides key services for payment integration, such as Lambda for serverless computing and API Gateway for creating RESTful APIs, which can be combined with Stripe's payment gateway capabilities.
Express.js can be utilized in conjunction with Stripe to build a flexible payment gateway, allowing for customized payment flows and the efficient management of online transactions.
Stripe's subscription management features and AWS's automation capabilities enable businesses to implement and manage recurring billing with ease, providing valuable analytics on subscription metrics.
The synergy between AWS's vast ecosystem and Stripe's payment expertise offers unparalleled opportunities for businesses to innovate and grow.
The integration of AWS and Stripe not only streamlines the payment process but also opens up new possibilities for innovation in payment solutions.
By leveraging the strengths of both services, companies can achieve a more robust and scalable payment solution.
AWS's extensive cloud infrastructure complements Stripe's seamless payment processing capabilities, providing a comprehensive environment for handling payments at scale.
The security of payment transactions is a critical aspect of any online payment system. AWS provides robust security features that help in safeguarding payment processes.
When integrating AWS services with Stripe, complying with data protection regulations is crucial. AWS and Stripe offer robust security features that, when properly configured, can help protect against data breaches and maintain compliance with standards such as PCI DSS, GDPR, and HIPAA.

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Dev

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Day 16: Introduction to DockerHub

A container registry is like a GitHub for Docker images.
DockerHub is the default and most popular container registry.
DockerHub allows you to store, share, version control, and collaborate on Docker images.
Best practices for DockerHub include using specific tags, documenting images, and regular updates.

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Medium

377

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Top Low-Code Website Builders to Create Your Site Faster

Low-code tools like Bolt.new make it easy to create websites with customizable templates and e-commerce tools.
Bolt.new offers a simple sign-up process and a drag-and-drop feature for easy design customization.
Low-code website builders have limits in customization and functionality, but tools like Bolt.new offer strong customization options.
Bolt.new is a tool that helps developers build websites faster and more efficiently, with improved quality.

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Slack

369

Image Credit: Slack

Migration Automation: Easing the Jenkins → GHA shift with help from AI

Slack's CI has moved from Jenkins to GitHub Actions and an intern created a conversion tool that could automatically migrate Jenkins pipelines to GitHub Actions.
The tool is expected to cut migration time by half and to save over 1,300 hours.
The successful project is focused on the conversion tool and the 7 week journey to design, implement, and improve it.
A few useful tools were identified for the company to convert Jenkins to GHA including the GitHub Actions Importer.
Python scripting will be used and Large Language Models (LLMs) were used for any errors that could not be fixed with regular expressions.
The implementation of the corrections tool, to correct the Importer’s workflows, ends with the bird's eye view and the implementation architecture.
The impact of the tool is discussed with projected savings of over 1,300 hours and is projected to save 80% of the time to move every Jenkins pipeline to GHA.
End-user feedback on the tool has arrived and there are a few errors in the generated workflows. However, Slack's internal communication and collaboration have proven effective in updating solutions.
Slack is currently hiring GHA specialists.
The conversion from Jenkins to GHA has enabled Slack developers to have workflow files with few, if any, flaws.

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Dev

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Key Insights to Mastering AWS Cloud Cost Optimization: Lessons from Our Journey

Implement comprehensive tagging and cost-tracking practices for better visibility.
Define policies and use tools like AWS Organizations to manage costs effectively.
Right-size instances and eliminate underutilized resources for optimization.
Use tools like AWS Cost Explorer or platforms like Cloudgov.ai for budgeting and forecasting.

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Dev

104

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Meta-Arguments and Provider in Terraform Day 10

Terraform uses providers to interact with cloud platforms and services.
Provider configuration involves configuring the provider block.
Aliases enable managing multiple provider configurations for different accounts or regions.
Dependency management ensures resources are created or destroyed in the correct order.

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6 Likes

Itrevolution

234

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Team Cognitive Load: The Hidden Crisis in Modern Tech Organizations

Team cognitive load has become a hidden bottleneck in technical organizations with prolonged excessive load, which can lead to mental fatigue and burnout, resulting in an approximate annual loss of $322 billion in productivity according to research from organizational psychologist Dr. Laura Weis and team topology expert Manuel Pais. The researchers emphasize that measuring team cognitive load directly remains elusive; instead, they focus on identifying and managing its key drivers to prevent overload before it occurs.
Teams experience cognitive overload when the group’s combined cognitive demands exceed its processing capacity, unlike machines in a factory. This invisibility of cognitive limits leads managers to continuously pile on new tasks without considering the mental bandwidth required to process them.
The researchers identified four main clusters of factors affecting team cognitive load: team characteristics, task characteristics, work practices and processes, and the work environment and tools.
Research suggests that information overload should be considered an environmental pollutant, similar to air or water pollution, due to its widespread effects on decision-making and social interaction.
Gender differences emerge as a crucial factor, with female employees reporting 27% higher levels of role overload and experiencing greater role ambiguity, particularly in technical roles. Remote workers benefit from better control over their physical workspace but show a 34% decrease in effective knowledge exchange.
The relationship between artificial intelligence and cognitive load emerged as a complex topic during the presentation. While AI promises to reduce cognitive burden through automation and enhanced decision support, the reality proves more nuanced.
The speakers particularly emphasized AI’s impact on information management. While tools like ChatGPT can help synthesize and summarize information, reducing cognitive load in information processing, they can also generate overwhelming amounts of content that teams must still evaluate and integrate.
The researchers advocate for developing predictive models that can help organizations anticipate and prevent cognitive overload before it impacts team performance.
The long-term vision extends beyond individual team management to industry-wide standards and practices, developing sustainable work practices to consistently create conditions where teams can perform at their best.
Understanding and managing team cognitive load emerges as a critical factor in maintaining team effectiveness and employee well-being as organizations continue to navigate rapid technological change and evolving work patterns.

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