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How DevOps Drives Innovation in Software Development?

DevOps has emerged as a perfect fit to fill the enormous gap between software development and IT operations teams. DevOps facilitates quick development, testing, and deployment by leveraging methodologies such as continuous integration(CI) and continuous delivery(CD).
DevOps obliterates idle time and fuels productivity by embracing an iterative approach. Remarkable DevOps feats include data transparency and accessibility, which increases collaboration among teams and teaches traits like shared responsibility.
The short development cycle with implementing DevOps paves the way for new ideas and innovation and cultivates a fail-fast culture within the organization. DevOps facilitates a continuous feedback loop that helps employees learn and resolve issues promptly. Furthermore, DevOps prevents data leakage and unauthorized access.
Implementing DevOps presents a cultural shift for development and operations teams which requires building trust and willingness to achieve this common goal with shared metrics and toolsets. Creating a functional DevOps team takes a lot of hard work and strategy.
The initial investment needed to establish a DevOps team can be overwhelming. Security can sometimes be overlooked when transitioning to the DevOps lifecycle. DevOps adoption requires regular monitoring.
Implementing DevOps can make software development faster and more efficient. Organizations should consider their company's needs before deciding to implement DevOps, especially if they have limited resources. Automation is an essential part of DevOps, but some situations require human intervention and critical thinking.
DevOps adoption is at its peak and numerous organizations are making this transition because of its evident benefits, such as quick delivery, increased productivity, transparency, and software quality. Planning and implementing this switch require a solid strategy and effort.
Navigating the complexities of DevOps adoption can prove challenging. Organizations should seek assistance from a DevOps consulting company with proven experience to understand how transformative DevOps can be and headstart their journey.

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Medium

117

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Title: Mastering OOP and SOLID Principles: A Guide for Scalable Software Design

Object-Oriented Programming (OOP) and SOLID principles are essential for scalable software design.
OOP allows modeling real-world systems using objects, classes, and methods.
SOLID principles address common pitfalls in OOP design, improving maintainability and flexibility.
Applying OOP and SOLID principles can help create systems that stand the test of time.

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Livebitcoinnews

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BSCS and FlashX Bring Trading to Twitter with New Partnership

BSCS and FlashX partner to bring decentralized trading to Twitter, offering seamless crypto trading and innovative features for users.
FlashX integrates trading operations directly into Twitter, enabling users to trade without leaving the platform.
FlashX provides tools like 1-Click Swap and instant perpetual trading, improving ease and efficiency of trading.
The partnership aims to make decentralized trading more accessible and innovative, shaping the future of trading.

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Medium

406

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CODING LANGUAGES: There are many different programming languages, each designed for specific tasks…

There are many different programming languages, each designed for specific tasks.
These languages are commonly used for building websites and web applications.
These languages are used to build apps for mobile devices.
These languages are specialized for data manipulation, statistics, and machine learning.
These languages are used for writing operating systems, hardware-level programming, and performance-critical applications.
These languages are typically used for automation, small tasks, and server-side scripts.
These languages emphasize the use of functions and immutability.
These languages are used for interacting with databases.
Each programming language has its own strengths, weaknesses, and ideal use cases.
The choice of language depends on the type of project you’re working on, the platform you’re targeting, and the problem you’re trying to solve.
Whether you’re building websites, working with data, or creating high-performance systems, there’s likely a language tailored to your needs.

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Testim.io

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Predictive Analytics in Test Automation

Predictive analytics uses historical data and statistics to predict future outcomes with great accuracy, and it has applications in various industries, including software development and testing.
Predictive analytics can provide actionable insights to QA teams in test automation by prioritizing features for testing, main test cases, urgent fixes, and code reviews.
There are multiple predictive analytics models, such as the classification model, clustering model, outliers model, decision tree, and time series model, based on the type of data used and the business goals.
Predictive analytics in software testing can benefit the industry in various ways, such as early defect detection and increased test coverage, improved user experience, predictive performance monitoring, cost reduction, and improved release control.
Any machine learning model is only as good as the data it uses. Therefore, to achieve accurate predictive analytics for your test automation project, relevant data must be used.
Data types that can be used in test automation include defect data, test-related data, application data, and development data.
By using predictive analytics in software testing and test automation, QA teams can predict future testing outcomes and improve the test automation process, thus enhancing user experience, release processes, and overall testing efforts.
Predictive analytics in software testing and test automation is a technique used to predict future testing outcomes, which can help prioritize the features for testing, improve the test automation process, and reduce costs.
In the software development lifecycle, predictive analytics can be applied to various data types, including defect data, test-related data, application data, and development data.
Using historical and present data, predictive analytics can identify patterns and forecast future outcomes, improving the accuracy and automation of software testing.

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TheNewsCrypto

247

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Flare Launches FXRP on Songbird Following Successful Open Beta Testing

Flare has launched FXRP (tokenized XRP) on its canary network Songbird.
The launch marks the next stage in the implementation of Flare Labs' FAssets protocol.
During the open beta, the FAssets system processed 263,000 mints, 395,000 redemptions, and involved over 48,000 participants.
The launch on Songbird aims to improve system usability and simulate behavior in a real-world network environment.

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Tech Radar

327

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It looks like macOS Sequoia 15.2 update breaks third-party bootable backups - and that has me worried

The latest macOS Sequoia 15.2 update prevents certain third-party apps from making bootable backups.
SuperDuper! developer Dave Nanian revealed the Replicator feature, which Apple controls and SuperDuper relies on, no longer functions in the final stages of making a backup with his app.
Apple has traditionally made it harder to make bootable backups citing security concerns and has lately pushed its inhouse Time Machine feature at the expense of third-party options.
This update may be seen as a deliberate attempt to phase out third-party apps for creating bootable backups in macOS.
If users want to create a backup of their Macs, Time Machine is Apple’s built-in backup feature that backs up files and restores a Mac to a previous state.
Backing up data is crucial, and users who rely on bootable external hard drives may need to reevaluate their backup strategy.
Apple may fix Replicator-related issues in the future or continue exercising control over third-party backup tools.
Possible loss of files is also a big concern, and it's suggested that Time Machine is not reliable enough to be the go-to backup option.
Apple may need to make Time Machine more reliable or provide options that allow third-party apps to make bootable drives.
Apple may stick to security concerns, likely leaving users with fewer options to recover their Macs quickly.

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Tech Radar

260

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Apple Maps edges closer to Google Maps on the web with its take on Street View

Apple has brought its Look Around feature to web browsers
This is Apple’s Street View rival in Apple Maps
It brings Apple Maps closer to Google Maps in terms of features
Look Around can now be accessed from any web browser, including Safari, Chrome, Edge, and Firefox

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Tech Radar

163

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Adobe's Photoshop and Lightroom photo plans get a huge price hike, but there's a way to avoid it

Adobe's Photoshop and Lightroom photography plans are getting a price hike starting from January 15, 2025.
The Photography plan with 20GB of storage will increase from $9.99 to $14.99 per month, a 50% increase.
The cheapest plan will no longer be available for new subscribers, doubling the price for Photoshop.
Existing subscribers can choose to pay annually or switch to the $119.88-per-year plan to avoid the price increase.

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Tech Radar

386

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Fury vs Usyk 2 will feature an AI judge – and I'm not convinced

The upcoming Fury vs Usyk 2 heavyweight title fight will feature an AI judge, marking a historic moment in boxing.
The AI judge aims to eliminate bias and human error from scoring fights, although the technology behind it has not been disclosed.
The use of AI in sports, particularly in subjective sports like boxing, raises concerns about the potential impact on fighter styles and the overall sport.
While the AI judge will not be used for official scorecards in Fury vs Usyk 2, it may be considered in future title fights.

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Tech Radar

134

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You can now try Gemini 2.0 in 'Experimental Advanced' mode if you're a Gemini Advanced subscriber

Gemini 2.0 is now available to Gemini Advanced subscribers.
Gemini 2.0 is currently in 'Experimental Advanced' mode and offers improved speed and performance for complex tasks.
Gemini Advanced customers can access Gemini 2.0 via the drop-down menu on the Gemini homepage.
Gemini 2.0 comes as part of the Google One AI Premium subscription.

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8 Likes

Medium

222

Artificial Intelligence (AI) has become an essential tool in today’s tech world.

Artificial Intelligence (AI) has become an essential tool in today’s tech world.
These libraries will handle various tasks like data processing, splitting datasets, creating the model, and evaluating it.
In this code, 80% of the data is used for training the model, and 20% is used for testing it.
That’s it! You’ve successfully built your first AI model using Python. With more practice, you can build more complex models for various applications.

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Embedded

323

How to use Assertions

Assertions are Boolean expressions used to check for bugs in a codebase.
Setting up basic assertions can vary from one environment to another.
Developers should review the assert.h header file to see how assert is implemented in their toolchain.
Implementing assertions involves creating a function definition that will output something if assertion fails.
The common way of notifying the developer of failed assertion is to print a message of where it happened.
To stop the program from executing, developers can either place a breakpoint or use the assembly instruction __BKPT.
Developers should test their assert implementation with basic test cases.
Assertions help to catch bugs quickly, resulting in more robust firmware.
Further use of assertions includes real-time assertions and static assertions.
Real-time assertions help to find bugs without compromising safety of real-time components like motors.

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Beyondkey

146

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Moodle 4.5: The AI-Driven Revolution in Learning Management Systems

Moodle 4.5 is set to bring AI into the future of online teaching and improve learning speed. It is not just another update but a game-changer.
The mindset is to have AI work with humans, not replace them. Teachers still lead, and AI helps them easier, not less important.
Subsections have been added to courses to make things easier to find and help students to focus thus saving time for teachers and reducing frustration.
Assignment processes have been improved with cleaner designs, sticky headers and footers, and automatic resubmissions.
Multimedia integration has improved with new features such as embed videos and audio, and screen recording tools. This makes learning interactive, engaging and fun.
Personalized notifications help learners keep track of deadlines and stay active.
Gamification using Open Badges 3.0 rewards students, keeps them motivated and adds excitement to their learning journey.
Beyond Key makes Moodle 4.5 even better by customizing Moodle AI, making Moodle look unique, and providing fast support.
Moodle 4.5 is just the beginning of a future of tailored, AI-driven teaching tools that will make online learning smarter and more personal.
Organizations need to equip themselves with the AI-driven teaching arsenal to gear up for the revolution in online learning.

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Educba

285

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Jira Salesforce Integration

Integrating Jira and Salesforce is a game-changer for businesses aiming to improve collaboration and streamline workflows.
Integrating Jira and Salesforce is important as it takes these two powerful tools to the next level.
By integrating Jira and Salesforce, teams can ensure seamless data flow, reduce manual efforts, and enhance cross-functional collaboration.
Key benefits of a Jira Salesforce integration include better teamwork, smarter processes, insightful reports, instant updates, and boosted efficiency.
Examples of beneficiary use cases include sales and development teams, services and marketing teams, and front-end and back-end teams.
Third-party tools like Exalate offer more flexible and powerful solutions for integrating Jira and Salesforce.
To set up a Jira Salesforce integration, you need to install Exalate on Salesforce & Jira, connect the two platforms, configure your connection, set up triggers, and start syncing data.
Advanced integration options include mapping custom fields between Salesforce and Jira, syncing comments and user mentions between the two platforms, and updating Salesforce accounts from Jira custom fields.
A Jira Salesforce integration can transform the way teams collaborate, streamline workflows, automate tasks, and improve efficiency.
Integrating Jira and Salesforce opens up endless possibilities for better teamwork and smarter decision-making.

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