#backend engineer

[feathersofwares]

Database management

Database management refers to the actions a business takes to manipulate and control data throughout its entire lifecycle, from creation through retirement. It involves organizing, storing, and retrieving data in a structured manner using a Database Management System (DBMS) software.

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[uniquejobs]

Aditya Birla Fresher Job Openings | Support Executive - Operations | Any Degree - Chennai

Introduction Aditya Birla Fresher Job Openings :Aditya has Published notification for the vacancy of Back Office Executives The educational qualification required to apply for this Aditya Birla is Any Degree Interested and eligible candidates can apply for Aditya Birla. There is enough time to apply for any job. Read Aditya Birla date, last date to apply, full details of vacancies carefully.…

[computer-nerd-girl]

[alycesutherland]

Progress:

Okay so the authentication for spotify is hard for me to understand and requires user authentication, then making a token request that while expire in an hour. So i focused on what I did know how to do and what I had access to token wise. The Spotify developer home page has a temporary access token for demos. I took that token and made a function to make get request to the API and two functions for top tracks and top artists. Then made some functions to print them in my terminal. Here is what my end product looked like in the terminal.

The data for tracks is proving to just show a years worth of listening even though I specified long_term in my get request.

Here is my code:

I tried just doing track.artist but Spotify handles that as multiple artists so I had to handle them as such.

Next Steps: Tackling the user authentication and token requests and including it in this code.

(Also yes I know that is a concerning amount of My Chemical Romance tracks. I had my MCR phase strike up again with a passion last October and I am still balls deep in it.)

[1o1percentmilk]

theory is like, knowledge of college level data structures and algorithms, runtimes, objects, etc

[exeggcute]

sorry all my posts are so grouchy lately. I've been laid up in bed for a week and also seeing a bunch of people who don't know jack shit about software or websites make a bunch of confidently wrong proclamations about how to fix software and websites is driving me a little bananas. dangerous metaphor cuz I actually don't know shit about cars imagine if your car was out of gas and everyone around you was like "you just need to charge it. electric cars are the future!" or "I read somewhere once that we might get cars that run on pure water, try putting water in your tank" or even "this is bullshit, you paid for your car and it should work! who cares if the gas tank is on E? they should let you drive it anyway!" and exactly no one is talking about how gas is a million dollars a gallon

[out--of--ordinary]

Had to send an email with 30 people on the email chain 🫣

[kais-radwan]

My open-source decentralized core

I asked before if people would love to hear about my open-source projects, and I got a lot of really great responses, so here we go...

About the project

I've been working on a NodeJS project lately, it's a decentralized real-time data network integrated with AI policies and other cool security features, It's only been a few weeks under development and in its early stages, but I hope we get somewhere with it.

The project is called ddeep-core, and it's supposed to be a tool under the ddeep ecosystem we are building in Multi Neon (my startup).

This core is supposed to be a more secure way to sync, save, and process decentralized graph data in real time based on data subscriptions and policies.

link to the project

How it works

First of all, a peer (device or browser) would subscribe to some data (a node in the graph database) by opening a connection with the core and sending a get message, and if the policies applied to that node are satisfied, it will add a real-time listener to that node and send back the current node's data, otherwise, it just ignores it.

Now every time someone updates that node's data by sending a put message, that peer will receive a real-time update.

well, these policies can be AI-powered... so for example, if you want to prevent any angry inputs from being added to the network under the 'posts' node, you can do so in 3 lines of code easily.

ddeep-core can be a fully decentralized solution, and if you want to save data to storage, you can do that too with features like recovery checkpoints...

It supports IP whitelisting to prevent cross-site attacks and that kind of stuff, It manages the data well by resetting the graph and listeners every while, and with each peer connection close.

There is no API for this yet, but it works perfectly with Gun.js or just by sending requests to it, we are currently working on an interface API to communicate with the core in a more efficient way.

So, is it good ??

So far the results are pretty good, if we are talking about stability we still have a long road to go with more testing, and if we are talking about performance, It's good so far.

ddeep-core is good when it comes to performance, as it ignores a lot of things when processing connections and messages, for example, if the core has to deal with a put request, and has to save data to storage too, it won't wait for the saving process to finish, it will just ignore if it's done or not and send the updated data to all peers listening to it (after processing the policies for sure).

I focused a lot on the data structure of listeners and peers, and I hope I got it well as it really affects the performance a lot.

[sammywebtools]

If you are a web development, a tool you cannot miss is ServBay.

ServBay is a revolutionary local web development tool exclusively designed for macOS. With features like multi-instance PHP running, robust CLI support, domain and SSL customization, it provides a streamlined and efficient development environment. It excels in resource efficiency, ease of use, and performance.

Try it. It won't let you down.

[acquaintsofttech]

Daily Affirmations to Fix Backend Bottlenecks and Boost Performance

Behind every reliable software product engineering service, there’s an engineering mind quietly solving invisible problems before they become visible failures. Whether you're a backend developer tuning queries or a CTO overseeing large-scale deployments, the need to consistently fix performance bottlenecks is a part of your daily reality.

Technical decisions in complex systems are often made under pressure. Without clarity, that pressure can lead to reactive patches instead of long-term solutions. 

Daily affirmations offer a simple but effective mental framework to help engineering leaders stay aligned with their priorities. You can utilize them as daily reminders to think intentionally, act early, and design systems that handle high traffic loads and stay reliable.

Why Mindset Matters to Fix Performance Bottlenecks?

Performance bottlenecks are the result of accumulated delays, overlooked warning signs, or rushed decisions made under pressure. In such situations, how engineers and CTOs think is just as important as what they do.

When managing high-demand systems, mindset influences how performance issues in scaling applications are approached. A reactive mindset is needed to strategize to eliminate performance bottlenecks. It may rely on quick patches that fail under future load.

Engineering leaders with a performance-first mindset regularly evaluate their infrastructure. They identify slow APIs, review system logs, and test their scaling strategies, not only when something goes wrong but as a habit. It reduces system downtime and aligns everyone around one shared goal, to fix performance bottlenecks before they impact the user experience.

The Reality Behind System Performance Pressure

In today’s high-demand digital environments, the responsibility to fix performance bottlenecks consistently falls on backend engineers and CTOs. Whether scaling a cloud-native application or debugging a slow deployment, the pressure to maintain smooth performance is constant, and often underestimated.

📊 Relevant Statistics:

48% of critical system outages were due to unresolved performance bottlenecks during traffic spikes, many of which could have been prevented with better monitoring and testing.

According to GitLab’s Developer Survey, 64% of engineers say that performance issues in scaling applications cause the most stress during production releases.

Gartner estimates the average cost of server crashes caused by backend failure at $5,600 per minute, highlighting the financial impact of poor backend planning.

Common Stereotypes in Performance Management

In the digital business, common stereotypes often delay efforts to fix performance bottlenecks and misguide system optimization priorities. Often, you’ve come across such pre-defined business hurdle mindsets, like, 

🔹 It’ll scale automatically, Assuming auto-scaling during traffic surges solves everything, ignoring the need to optimize system backend response times.

🔹 Monitoring is an Ops job, Overlooking the role of developers by using real-time traffic monitoring solutions to detect issues before they escalate.

🔹 Only frontend matters to users, Ignoring how slow APIs and unoptimized backend services directly affect user experience and retention.

🔹 We’ll fix it after launch, Short-term business thinking instead of building systems with proactive software scaling and performance reviews in mind.

This context shows why performance isn’t just about tools, it’s about thinking ahead and designing systems that are stable under pressure!

How Daily Self-Talk Influences Technical Decisions?

Engineering isn’t just technical, it’s intensely mental. The decisions that fix or cause performance bottlenecks often happen in high-pressure moments. During deployment windows, incident triaging, or architecture reviews, the internal dialogue engineers and CTOs carry with them can shape everything from system design to response strategies.

Daily self-talk, especially when it’s structured and intentional like affirmations, gives engineers a moment of clarity before making decisions. Instead of rushing through logs or hastily patching backend services, they pause, reflect, and choose a solution that aligns with long-term scalability.

For example, a developer who starts the day thinking “I design with scale in mind” is more likely to review queue behavior or optimize backend response time rather than simply increasing timeouts. 

A CTO who reinforces, “My job is to ask the right performance questions,” may invest in performance audits or challenge assumptions around slow APIs and data-heavy routes.

Affirmations don’t eliminate stress, but they reframe how technical challenges are approached. When mindset becomes method, engineers respond to bottlenecks with structure, not stress.

Daily Affirmations to Fix Performance Bottlenecks

1. Focus on Clarity Before Code

Before writing a single line, engineers should map system workflows, define expected loads, and isolate high-traffic APIs. This reduces system architectural flaws that often cause performance bottlenecks under pressure.

2. Performance is a Product, Not a Patch

Instead of fixing response delays reactively, engineers should embed system performance optimization into development cycles. Regularly reviewing queries, queuing logic, and Redis usage can make performance part of CI/CD quality checks. For CTOs, setting this expectation early builds a culture where system bottlenecks are treated with the same priority as bugs.

3. Slow APIs Need Your Attention First

APIs handling the most business-critical functions must be profiled consistently. Use tools like Laravel Telescope, Blackfire, or Postman monitors to measure call frequency, payload size, and latency. Resolving these issues early not only improves user experience but also fixes performance bottlenecks that often go unnoticed in the background.

4. Use Data to Drive Scaling Decisions

Scaling decisions should come from real metrics, not assumptions!

Analyze real-time traffic monitoring solutions to understand peak patterns, failed requests, and queue lengths. This enables smarter use of autoscaling groups, queue thresholds, and database read replicas, preventing resource waste and avoiding costly performance degradation.

5. Simulate Load Before It Finds You

Before peak events or deployment, run stress-testing tools like JMeter or Artillery to simulate traffic spikes. Monitor how APIs, job queues, and DBs respond under pressure. This often reveals performance issues that otherwise go undetected in normal QA routines.

6. Test Failure, Not Just Success

Engineers must validate how their systems behave under failure. By simulating database disconnects, queue overloads, or delayed third-party APIs, one can measure how resilient the system truly is. These tests reduce the risk of server crashes in production and strengthen backend logic by exposing weak failover paths early.

7. Build Redundancy Into Everything

A single point of failure can take down an entire product, especially in the monoliths. 

Engineering leaders must plan well for handling traffic spikes, using techniques like multi-zone deployments, caching layers, mirrored databases, and distributed load balancers. This redundancy ensures consistent uptime when traffic increases or systems degrade under pressure.

8. Lead with Observability, Not Assumptions

Businesses must ensure every critical component of their stack is observable through logs, metrics, and alerts. Using real-time traffic monitoring solutions, you can catch slowdowns, memory leaks, or surging error rates before users experience them. Observability allows leaders to fix performance bottlenecks before they cascade into outages.

9. Design Systems That Reflect Scalability, Not Complexity

Engineers should focus on building scalable system architecture using principles like decoupled services, message queues, and load-agnostic routing. It becomes easier to scale specific functions independently without overhauling the entire stack. It leads to faster and cleaner performance tuning.

10. Stay Calm When Load Peaks

Rely on tested autoscaling during traffic surges, CDN caching, and database load balancing to absorb the system pressure. A stable mindset during traffic spikes ensures that performance bottlenecks are handled proactively, not after users report them.

Performance Culture Tips for Engineering Leaders

Creating a strong performance culture doesn’t rely on tools alone, it depends on how engineering leaders define priorities. By setting the right expectations and building habits around system health, CTOs and architects make it easier to fix performance bottlenecks before they affect real users.

1. Embed Performance Metrics into Daily Workflows

Integrate real-time traffic monitoring solutions directly into your development and deployment pipelines. Tools like Prometheus or New Relic can provide continuous insights, enabling teams to proactively fix performance bottlenecks before they escalate.

2. Promote a Culture of Continuous Feedback

Establish regular, informal check-ins focused on system performance optimization. Encourage team members to share observations about slow APIs or other issues, fostering an environment where performance concerns are addressed promptly.

3. Invest in Targeted Training Programs

Offer workshops and training sessions on topics like stress testing and backend response time optimization. Empowering engineers with the latest knowledge ensures they are equipped to handle performance issues in scaling applications effectively.

4. Encourage Cross-Functional Collaboration

Facilitate collaboration between development, operations, and QA teams to identify and resolve performance challenges. This holistic approach ensures that backend services are optimized in conjunction with frontend and infrastructure components.

5. Recognize and Reward Performance Improvements

Acknowledge team members who contribute to enhancing system performance. Celebrating successes in proactive software scaling and fixing performance bottlenecks reinforces the importance of performance culture within the organization.

Bottomline

Whether writing backend logic, reviewing deployments, or managing releases, each task should align to detect and eliminate inefficiencies before they affect production!

It just requires a consistent focus on monitoring API latency, validating scaling behavior, testing job queues under pressure, and reviewing resource consumption metrics. These actions not only improve system reliability but reduce firefighting and accelerate system delivery cycles.

Technical teams must review real-time traffic patterns and maintain test coverage for load-sensitive endpoints. Furthermore, audit critical flows for processing delays or concurrency issues are also crucial. When the technical leadership of any business treats performance not as a checkpoint but as a discipline, the process to fix performance bottlenecks becomes structured, measurable, and eventually predictable.

FAQs

1. What causes performance bottlenecks in backend systems?

Performance bottlenecks are often caused by unoptimized database queries, inefficient API logic, high memory usage, or poor concurrency management. It also includes a lack of stress testing, missing caching layers, and heavily synchronous operations.

System performance bottlenecks usually emerge when system load increases. Continuous profiling and real-time monitoring help detect them early. Addressing them requires a combination of architecture review and runtime metrics.

2. How often should I review system performance?

System performance demands regular review, ideally during every deployment cycle and also as part of weekly or bi-weekly operational reviews.

Monitoring key metrics like API response time, error rate, and queue lengths helps prevent issues before they affect users. For high-traffic systems, continuous performance evaluation is essential, it can be achieved wth the adoption of best tools for infrastructure scaling and monitoring.

3. What’s the difference between stress testing and load testing?

Load testing measures system behavior under expected levels of traffic to evaluate stability and response time. Stress testing goes a step further, it pushes the system beyond normal limits to identify failure points and recovery behavior. While load tests validate capacity, stress tests prepare the system for worst-case scenarios. 

4. Can any software product engineering service help improve backend performance in enterprise systems?

Yes, Acquaint Softtech specializes in backend performance engineering, especially for Laravel, Node.js, and custom architectures. Our software experts help identify performance bottlenecks, restructure unscalable components, and implement real-time observability across systems.

[hiringjournal]

How to Hire the Right MySQL Engineer: Skills to Look For

For any business that handles structured data a solid database foundation serves as the key. MySQL continues to dominate the market as one of the most reliable and widely utilized relational database systems. Whether it’s managing e-commerce transactions, user profiles, or analytics, having the right talent can have a significant impact on performance and scalability.

That’s why several tech companies are considering hiring database engineers with MySQL proficiency. This helps to manage the growing database needs. But how do you know that you are hiring the right fit for the job? In this article we will breakdown what you need to look for when you set out to hire these experts.

Key Technical and Practical Skills Every Business Should Prioritize

Strong knowledge of SQL and database design

Fundamental SQL expertise is a must when hiring MySQL engineers. Your ideal applicant ought to:

Create secure and optimized SQL queries.

Recognize data modelling and normalization.

Understand performance indexing techniques.

Have the ability to create triggers and stored procedures.

These abilities allow a MySQL engineer to increase speed and storage efficiency, which is essential for rapidly expanding tech companies. 

Experience in performance tuning and troubleshooting

Performance issues arise as your data grows. A proficient MySQL developer ought to be able to:

Find and fix slow queries.

Keep an eye on and maximize database load.

Make use of programs such as MySQLTuner, EXPLAIN, and performance schema.

Set up the server's parameters for best performance.

In SaaS setups or real-time applications where latency is a concern, this becomes even more crucial.

Data backup, security, and recovery skills

A business can be destroyed by data breaches or loss. A trustworthy MySQL developer will:

Configure automated backup plans.

Put user roles and permissions into practice.

Secure connections and encrypt data.

Create scenarios for catastrophe recovery.

These abilities guarantee data security and regulatory compliance, which is particularly important for the high-security, healthcare, and financial sectors.

Integration and collaboration capabilities

MySQL engineers don't work alone. They frequently work along with software developers and backend teams. You might also have to:

Fill positions like hiring backend developers to assist with application-side logic.

Employ database engineers for distributed or more complicated settings.

Hire software developers to create data-driven, scalable products.

A MySQL engineer with cross-departmental collaboration skills guarantees more efficient operations and agile delivery.

Familiarity with modern tools and frameworks 

Present-day MySQL programmers must to be knowledgeable about:

ORMs such as Eloquent, Sequelize, or Hibernate.

Cloud-based solutions like Google Cloud SQL and AWS RDS.

Tools for monitoring such as Prometheus or Datadog.

Pipelines for CI/CD database updates.

For the majority of tech businesses that use cloud-native solutions, this demonstrates adaptability in contemporary development settings.

Closing Remarks

If you are serious about your data infrastructure, you should hire MySQL developers. Seek applicants that have excellent technical proficiency together with teamwork and problem-solving abilities. Results can be increased by matching your MySQL specialist with the appropriate team, such as hiring software engineers, regardless of whether you're managing a legacy system or scaling a SaaS platform. Choosing the proper database hiring is a commercial choice for tech firms, not just a backend one.

[adayiniilm]

FRONTEND VS BACKEND

Front-End and Back-End Development: A Dynamic Duo

The internet is a vast and complex place and the magic behind those interactive websites responsive apps and seamless online experiences is often fueled by a potent partnership front-end and back-end development They're like the two sides of a coin each crucial for a complete functional digital product But what exactly do they do and how do they work together

Front-End Development The User Interface

Front-end development often referred to as client-side development is all about the visual aspect and interactivity that users experience directly It's the face of your website or application Think of it as the carefully crafted facade of a building attracting attention and guiding visitors through its spaces

Languages and Technologies Front-end developers wield a diverse toolkit HTML HyperText Markup Language forms the structure CSS Cascading Style Sheets dictates the visual presentation and JavaScript brings the dynamic behavior to life Frameworks like React Angular and Vue.js further streamline the development process enabling developers to build complex and interactive applications efficiently

Key Responsibilities Front-end developers are masters of user experience UX and user interface UI They meticulously design and code the elements that users see and interact with This includes buttons forms images animations and navigation menus the whole package that makes a website or app feel intuitive and engaging Accessibility is a critical component ensuring that the design is usable and accessible to everyone

Back-End Development The Hidden Powerhouse

Back-end development or server-side development is the silent architect behind the scenes While the front-end is the visible facade the back-end is the intricate framework that powers the website or applications functionality Think of it as the buildings internal systems the plumbing wiring and support structures that keep everything running smoothly

Languages and Technologies Back-end development utilizes a different set of tools Languages like Python Java Ruby PHP and Node.js are commonly used often paired with databases like MySQL PostgreSQL or MongoDB These tools handle the processing of data communication with databases and managing user accounts transactions and security

Key Responsibilities Back-end developers are responsible for tasks like data management security and application logic They craft APIs Application Programming Interfaces that act as bridges between the front-end and back-end allowing them to communicate and exchange information This seamless communication is what makes the user experience so smooth

The Dance of Cooperation

Front-end and back-end developers are like a well-rehearsed dance team each partner knowing their steps and when to take the lead They work together to create a unified experience

Data exchange The back-end handles data storage and retrieval while the front-end uses this data to create the interactive displays and user interfaces Imagine an online store The back-end manages the inventory and order information and the front-end displays the products allows users to select items and submits the order

Collaboration The communication between the front-end and back-end developers is critical They need to understand each others needs and work closely to ensure a cohesive user experience Effective communication helps to prevent misunderstandings and allows for efficient problem-solving throughout the development process

Learning and Growth

Learning front-end and back-end development is a journey and its full of opportunities for learning and growth Youll find yourself continuously expanding your skillset and knowledge base

Continuous learning The world of web development is constantly evolving Staying updated with the latest trends and technologies is vital to success This involves exploring new libraries frameworks and tools to continuously enhance your skills

Building portfolios Creating personal projects is an excellent way to showcase your skills and gain experience in a real-world setting

Conclusion A Powerful Partnership:

Front-end and back-end development are essential for creating robust and user-friendly digital products By working together these two crucial components of web development ensure a smooth and seamless user experience Their ongoing interaction is the bedrock of the ever-expanding online world we inhabit As technology continues to advance this dynamic duo will continue to play a pivotal role in shaping our digital future.

https://www.iilm.edu

[nitor-infotech]

Are you eager to delve into the core of web development? Join us as we explore Backend for Frontend (BFF), an intricate powerhouse that silently serves as an intermediary layer, tailoring data for distinct front-end clients, streamlining UI customization, and accelerating development. Further, learn how BFF stands as the unsung hero, elevating web development speed and performance. Stay confident and informed of the ever-evolving web development terrain with Nitor Infotech.

[baekuras]

Well didn't get the job I was w/ a few days ago but I'm not even mad bc I just had a good time hanging out in another city+the people there were nice and chill and I left behind a positive enough impression that they invited me to try again post training if I ever wanted to

[just-my-insufferable-existance]

Wanna become a software engineer/developer or something similar?

Don't know where to start?

I just found out about roadmap.sh, which is a nifty little tool. From first glance, it looks pretty solid.

From first glance, it is missing C and Embedded stuff. Maybe I'll add my two cents.