#devops process explained

[cooganbegs-blog]

Oh gawd, it’s all unravelling!! I’ve resorted to asking my ChatGPT for advice on how to handle this!! This is the context I put it:

work in a small startup with 7 other people

I have been brought on for a three month contract to assess the current product and make recommendations for product strategy, product roadmap, improved engineering and product processes with a view to rebuilding the platform with a new product and migrating existing vendors and borrowers across

There is one engineer and no-one else in the company has any product or technical experience

The engineer has worked on his own for 6 years on the product with no other engineering or product person

He does all coding, testing, development, devops tasks

He also helps with customer support enquires

He was not involved in the process of bringing me onboard and felt blindsided by my arrival

I have requested access to Github, and his response was:

As you can imagine access to the source code is pretty sensitive. Are you looking for something specifically? And do you plan on downloading the source code or sharing with anyone else?

He then advised they only pay for a single seat

I have spoken with the Chief Operations Officer who I report to in the contract and advised my business risk concerns around single point of failure

I have still not been granted access to Github so brought it up again today with the COO, who said he had requested 2 weeks ago

The COO then requested on Asana that the engineer add myself and himself as Github users

I received the following from the engineer:

Hey can you please send me your use cases for your access to GitHub? How exactly are you going to use your access to the source code?

My response:

Hey! My request isn’t about making changes to the codebase myself but ensuring that Steward isn’t reliant on a single person for access.

Here are the key reasons I need GitHub access:

1 Business Continuity & Risk Management – If anything happens to you (whether you’re on holiday, sick, or god forbid, get hit by a bus!!), we need someone else with access to ensure the platform remains operational. Right now, Steward has a single point of failure, which is a pretty big risk.

2 Product Oversight & Documentation – As Head of Product, I need visibility into the codebase to understand technical limitations, dependencies, and opportunities at a broad level. This DOESN'T mean I’ll be writing code, but I need to see how things are structured to better inform product decisions and prioritization.

3 Facilitating Future Hiring – If we bring in additional engineers or external contractors, we need a structured process for managing access. It shouldn't be on just one person to approve or manage this.

Super happy to discuss any concerns you have, but this is ultimately a business-level decision to ensure Steward isn’t putting itself at risk.

His response was:

1&3 Bridget has user management access for those reasons

2. no one told me you were Head of Product already, which isn’t surprising. But congrats! So will you be sharing the source code with other engineers for benchmarking?

The software engineer is an introvert and while not rude is helpful without volunteering inflation

He is also the single access for AWS, Sentry, Persona (which does our KYC checks).

I already had a conversation with him as I felt something was amiss in the first week. This was when he identified that he had been "blindsided" by my arrival, felt his code and work was being audited. I explained that it had been a really long process to get the contract (18 months), also that I have a rare mix of skills (agtech, fintech, product) that is unusually suited to Steward. I was not here to tell him what to do but to work with him, my role to setup the strategy and where we need to go with the product and why, and then work with him to come up with the best solution and he will build it. I stressed I am not an engineer and do not code.

I have raised some concerns with the COO and he seems to share some of the misgivings, I sense some personality differences, there seems like there are some undercurrents that were there before I started.

I have since messaged him with a gentler more collaborative approach:

Hey, I’ve been thinking about GitHub access and wanted to float an idea, would it make sense for us to do a working session where you just walk me through the repo first? That way, I can get a sense of the structure without us having to rush any access changes or security decisions right away. Then, we can figure out what makes sense together. What do you think?

I’m keen to understand your perspective a bit more, can we chat about it tomorrow when you're back online? Is 4pm your time still good? I know you’ve got a lot on, so happy to be flexible.

I think I’ve fucked it up, I’m paranoid the COO is going to think I’m stirring up trouble and I’m going to miss out on this job. How to be firm yet engage with someone that potentially I’ll have to work closely with(he’s a prickly, hard to engage Frenchie, who’s lived in Aus and the US for years).

[kushitworld]

Offer Tips And Guidance For Aspiring Web Developers

Web Development Career Advice: Offer tips and guidance for aspiring web developers, including learning resources, career paths, and job market insights. 

Web development is an exciting and dynamic field that offers countless opportunities for aspiring developers. Whether you’re just starting your journey or looking to advance your career, this article provides valuable advice and guidance to help you thrive in the world of web development.

1. Learn Continuously

Web development is constantly evolving, with new technologies, frameworks, and best practices emerging regularly. To stay relevant and competitive, it’s essential to commit to lifelong learning. Here are some tips:

Online Courses: Platforms like Udemy, Coursera, edX, and Codecademy offer a wide range of web development courses, from beginner to advanced levels.

Documentation and Tutorials: Read documentation and follow tutorials for the technologies you’re interested in. Official documentation is a valuable resource.

Books: Invest in web development books that cover fundamental concepts and provide in-depth knowledge on specific topics.

Online Communities: Join developer forums, participate in discussions, and ask for help when needed. Sites like Stack Overflow and GitHub are great places to start.

2. Choose Your Path

Web development offers various career paths. To determine which one aligns with your interests and goals, consider the following options:

Frontend Developer: Focuses on the visual aspects of websites, including HTML, CSS, and JavaScript.

Backend Developer: Works on server-side development, handling databases, servers, and business logic.

Full-Stack Developer: Manages both frontend and backend, offering a comprehensive understanding of web development.

Specialized Roles: Consider roles like mobile app development, DevOps, or UI/UX design, which require specific skills.

3. Build a Strong Portfolio

A portfolio is your professional identity. It showcases your skills, projects, and capabilities to potential employers or clients. Here���s how to create an impressive portfolio:

Include Diverse Projects: Showcase a variety of projects that highlight your versatility and expertise.

Keep It Updated: Regularly add new projects and skills to your portfolio.

Detail Your Process: Explain the problem, solution, and technologies used in each project.

Share Your Code: Provide links to GitHub or other version control repositories to demonstrate your coding skills.

4. Gain Practical Experience

While learning theory is essential, practical experience is equally crucial. Here’s how to gain hands-on experience:

Freelance Work: Take on freelance projects to apply your skills in real-world scenarios.

Open Source Contributions: Contribute to open-source projects to collaborate with experienced developers and improve your skills.

Internships: Internships provide valuable industry experience and the chance to learn from professionals.

5. Networking

Building a strong professional network can open doors to job opportunities and collaborations. Here’s how to network effectively:

Attend Meetups and Conferences: Participate in web development events to meet like-minded individuals.

Online Communities: Join forums, Slack groups, and social media channels dedicated to web development.

LinkedIn: Create a professional LinkedIn profile to connect with industry peers and potential employers.

6. Stay Informed About the Job Market

Web development job trends can vary by region and industry. Stay informed about the job market by:

Research: Explore job postings on various job boards to understand employer expectations and trends in your area.

Consult Industry Reports: Industry reports and surveys provide insights into in-demand skills and salary trends.

7. Soft Skills Are Important

In addition to technical skills, soft skills like problem-solving, communication, and teamwork are highly valued by employers. Cultivate these skills to become a well-rounded developer.

Conclusion: Your Journey to Web Development Success

Web development is a dynamic and rewarding field, offering opportunities for those with passion and determination. By continuously learning, building a strong portfolio, gaining practical experience, networking, and staying informed about the job market, you can embark on a successful web development career.

Remember that success in web development requires commitment and persistence. Keep learning, adapt to changes, and stay passionate about creating innovative web solutions. With dedication, you can thrive in this exciting and ever-evolving industry.

Source:

[priya-joshi]

Full Stack Development: Using DevOps and Agile Practices for Success

In today’s fast-paced and highly competitive tech industry, the demand for Full Stack Developers is steadily on the rise. These versatile professionals possess a unique blend of skills that enable them to handle both the front-end and back-end aspects of software development. However, to excel in this role and meet the ever-evolving demands of modern software development, Full Stack Developers are increasingly turning to DevOps and Agile practices. In this comprehensive guide, we will explore how the combination of Full Stack Development with DevOps and Agile methodologies can lead to unparalleled success in the world of software development.

Full Stack Development: A Brief Overview

Full Stack Development refers to the practice of working on all aspects of a software application, from the user interface (UI) and user experience (UX) on the front end to server-side scripting, databases, and infrastructure on the back end. It requires a broad skill set and the ability to handle various technologies and programming languages.

The Significance of DevOps and Agile Practices

The environment for software development has changed significantly in recent years. The adoption of DevOps and Agile practices has become a cornerstone of modern software development. DevOps focuses on automating and streamlining the development and deployment processes, while Agile methodologies promote collaboration, flexibility, and iterative development. Together, they offer a powerful approach to software development that enhances efficiency, quality, and project success. In this blog, we will delve into the following key areas:

Understanding Full Stack Development

Defining Full Stack Development

We will start by defining Full Stack Development and elucidating its pivotal role in creating end-to-end solutions. Full Stack Developers are akin to the Swiss Army knives of the development world, capable of handling every aspect of a project.

Key Responsibilities of a Full Stack Developer

We will explore the multifaceted responsibilities of Full Stack Developers, from designing user interfaces to managing databases and everything in between. Understanding these responsibilities is crucial to grasping the challenges they face.

DevOps’s Importance in Full Stack Development

Unpacking DevOps

A collection of principles known as DevOps aims to eliminate the divide between development and operations teams. We will delve into what DevOps entails and why it matters in Full Stack Development. The benefits of embracing DevOps principles will also be discussed.

Agile Methodologies in Full Stack Development

Introducing Agile Methodologies

Agile methodologies like Scrum and Kanban have gained immense popularity due to their effectiveness in fostering collaboration and adaptability. We will introduce these methodologies and explain how they enhance project management and teamwork in Full Stack Development.

Synergy Between DevOps and Agile

The Power of Collaboration

We will highlight how DevOps and Agile practices complement each other, creating a synergy that streamlines the entire development process. By aligning development, testing, and deployment, this synergy results in faster delivery and higher-quality software.

Tools and Technologies for DevOps in Full Stack Development

Essential DevOps Tools

DevOps relies on a suite of tools and technologies, such as Jenkins, Docker, and Kubernetes, to automate and manage various aspects of the development pipeline. We will provide an overview of these tools and explain how they can be harnessed in Full Stack Development projects.

Implementing Agile in Full Stack Projects

Agile Implementation Strategies

We will delve into practical strategies for implementing Agile methodologies in Full Stack projects. Topics will include sprint planning, backlog management, and conducting effective stand-up meetings.

Best Practices for Agile Integration

We will share best practices for incorporating Agile principles into Full Stack Development, ensuring that projects are nimble, adaptable, and responsive to changing requirements.

Learning Resources and Real-World Examples

To gain a deeper understanding, ACTE Institute present case studies and real-world examples of successful Full Stack Development projects that leveraged DevOps and Agile practices. These stories will offer valuable insights into best practices and lessons learned. Consider enrolling in accredited full stack developer training course to increase your full stack proficiency.

Challenges and Solutions

Addressing Common Challenges

No journey is without its obstacles, and Full Stack Developers using DevOps and Agile practices may encounter challenges. We will identify these common roadblocks and provide practical solutions and tips for overcoming them.

Benefits and Outcomes

The Fruits of Collaboration

In this section, we will discuss the tangible benefits and outcomes of integrating DevOps and Agile practices in Full Stack projects. Faster development cycles, improved product quality, and enhanced customer satisfaction are among the rewards.

In conclusion, this blog has explored the dynamic world of Full Stack Development and the pivotal role that DevOps and Agile practices play in achieving success in this field. Full Stack Developers are at the forefront of innovation, and by embracing these methodologies, they can enhance their efficiency, drive project success, and stay ahead in the ever-evolving tech landscape. We emphasize the importance of continuous learning and adaptation, as the tech industry continually evolves. DevOps and Agile practices provide a foundation for success, and we encourage readers to explore further resources, courses, and communities to foster their growth as Full Stack Developers. By doing so, they can contribute to the development of cutting-edge solutions and make a lasting impact in the world of software development.

[innoappstech]

5 Key Factors to Consider Before Choosing Your AI Development Company (For CTOs and Executives)

In 2025, AI is not just an emerging trend — it’s the default driving force behind modern digital transformation. From hyper-personalized marketing to automated supply chains, artificial intelligence is becoming the foundation of smart business operations.

Whether you’re a CTO at a startup or a CIO in a large enterprise, the success of your AI projects will depend largely on the development partner you choose. But in a space flooded with buzzwords, pitches, and prototypes, how do you separate hype from capability?

The answer lies in asking the right questions and evaluating potential partners through a strategic lens — not just technical skillsets. This guide walks you through a practical AI vendor checklist that can help you select the right partner, not just a service provider.

1. Technical Skill Must Align With Business Objectives

It’s easy to find vendors who “do AI.” The real challenge is finding a company that aligns its technical work with your business outcomes.

What to look for:

Domain familiarity: Have they delivered solutions in your industry like BFSI, retail, logistics, or healthcare?

Tech stack depth: Are they proficient in areas relevant to you — such as NLP, computer vision, deep learning, or generative AI?

Results orientation: Can they link AI capabilities with KPIs like customer retention, faster GTM, or revenue growth?

Why it matters: Real AI transformation is not just about delivering a model. It’s about building solutions that drive measurable impact and integrate with your processes. Ask them how past deployments improved business-critical metrics like fraud prevention or churn reduction.

2. Process Maturity & Repeatability

AI isn’t magic — it’s data, math, and structured experimentation. The right AI development partner will bring with them a mature, well-documented process.

Evaluate their maturity:

MLOps readiness: Do they use version control, CI/CD for models, and track experiments?

Discovery framework: Do they follow a structured process to assess feasibility and define proof of value?

Risk management: How do they tackle issues like data bias, model drift, and explainability?

Why it matters: AI success requires iteration and adaptability. If a company depends on ad-hoc processes or overpromises “plug-and-play” solutions, they’re likely unprepared for real-world complexity.

3. Data Handling & Privacy Compliance

AI without data is powerless. But AI without safe, ethical, and compliant data practices is dangerous.

Key questions to ask:

Can they work with your structured (e.g., CRM) and unstructured (e.g., audio, text) data?

Do they help with data cleaning, labeling, and feature engineering?

Are they compliant with GDPR, HIPAA, CCPA, or India’s DPDP Act?

Do they offer privacy-first AI techniques like federated learning or data anonymization?

Why it matters: With regulations tightening worldwide, choosing a vendor who understands and respects privacy laws is non-negotiable. You’re not just protecting data — you’re protecting brand trust.

4. Communication, Team Dynamics & Cultural Fit

AI projects demand collaboration between technical teams, business units, and executives. Beyond technical skills, your partner should speak the language of business and align culturally.

Look for:

Balanced teams: Does their team include data scientists, DevOps, product managers, and strategists?

Transparency: Do they share progress regularly and collaborate across time zones?

Stakeholder understanding: Can they explain solutions to both technical and non-technical decision-makers?

Enablement focus: Do they empower your internal team or lock everything in a “black box”?

Why it matters: AI is a tool, but adoption is human. You need a team that can align your business leaders with your engineering team and ensure solutions are understood and adopted across the board.

5. Long-Term Support, Scalability & Post-Deployment Strategy

Delivering a model is easy. Supporting it through real-world performance issues, evolving data, and scale? That’s the real work.

Ask about:

Monitoring & retraining: Do they offer automated performance tracking and updates?

Deployment platforms: Are they familiar with AWS, Azure, GCP, or hybrid deployments?

Scalability: Can the solution handle growing users or data volumes?

SLAs: What are their commitments for uptime, latency, and issue resolution?

Why it matters: Without strong post-deployment support, even the most promising model will become obsolete. Your partner must think beyond the build and commit to performance over time.

Bonus Insight: Vendor vs. Strategic Partner

The biggest mindset shift? You’re not buying software — you’re building a relationship. A true AI partner isn’t just a vendor. They take shared ownership of outcomes and co-create value with you.

Look for:

Transparent pricing and shared incentives

Willingness to challenge your assumptions

Commitment to ethical AI practices

Long-term vision and innovation roadmap

Executive AI Vendor Checklist (Recap)

Here’s a snapshot of what to assess:

Business Fit ☐ Do they understand your industry and goals? ☐ Can they link AI to business KPIs?

Technical Capability ☐ Do they follow MLOps best practices? ☐ Is their development process repeatable and transparent?

Data & Compliance ☐ Are they privacy-first and regulation-aware? ☐ Can they work with your specific data types?

Communication & Culture ☐ Do they enable collaboration across roles? ☐ Are they responsive and proactive?

Post-Deployment Support ☐ Do they offer retraining, monitoring, and SLAs? ☐ Can they scale as your business scales? Read Full Article Here

Final Thoughts: Choose for Outcomes, Not Optics

In 2025 and beyond, AI will become a pillar of competitive advantage but only if implemented right. The right development partner will do more than code; they will guide, challenge, and scale with you.

So ask the tough questions. Look beyond buzzwords. And choose an AI development partner who will deliver impact, not just demos.

[promptlyspeedyandroid]

AWS Interview Questions for Freshers and Experienced Professionals

Amazon Web Services (AWS) has revolutionized the way businesses store, process, and manage data in the cloud. With its wide range of services like EC2, S3, Lambda, RDS, and VPC, AWS has become the market leader in cloud computing. As companies continue to migrate their infrastructure to the cloud, the demand for skilled AWS professionals is soaring across industries.

Whether you're a fresher stepping into the cloud space or an experienced professional aiming to upgrade your role, AWS interviews can be both exciting and challenging. This blog is your comprehensive guide to the most commonly asked AWS interview questions, complete with clear and structured answers. It is designed to help you confidently face technical interviews and stand out in your next AWS job opportunity.

Why AWS Skills Are in Demand

Before diving into the questions, it's essential to understand why AWS knowledge is so valuable:

Global Leader: AWS owns over 30% of the global cloud infrastructure market.

Widely Adopted: Companies from startups to Fortune 500 firms rely on AWS services for scalability, reliability, and flexibility.

High-Paying Roles: Roles like AWS Cloud Engineer, Solutions Architect, DevOps Engineer, and SysOps Administrator offer competitive salaries and growth opportunities.

Certifications Recognition: AWS Certified professionals are widely respected and in demand.

Interview Questions for Freshers

Here are some of the most commonly asked AWS questions for beginners:

1. What is AWS?

Answer: AWS (Amazon Web Services) is a secure cloud services platform offering computing power, database storage, content delivery, and other services that help businesses scale and grow.

2. What are the key services provided by AWS?

Answer:

EC2 (Elastic Compute Cloud)

S3 (Simple Storage Service)

RDS (Relational Database Service)

Lambda

VPC (Virtual Private Cloud)

CloudWatch

3. What is EC2 in AWS?

Answer: Amazon EC2 is a virtual server in the cloud that allows you to run applications on scalable virtual machines. You can choose different instance types based on your computing needs.

4. What is the difference between EC2 and Lambda?

Answer:

EC2 requires you to manage the server yourself (OS, updates, etc.).

Lambda is serverless — you just upload your code and AWS handles everything else.

5. What is an AMI in AWS?

Answer: An AMI (Amazon Machine Image) is a template that contains a software configuration (OS, application server, applications) used to launch EC2 instances.

6. What is S3 used for?

Answer: Amazon S3 is an object storage service used for storing any amount of data at any time. It is commonly used for backup, data archiving, and web hosting.

Interview Questions for Experienced Professionals

For professionals with hands-on AWS experience, interviewers dig deeper into architecture, security, scalability, and cost optimization. Here are some advanced-level AWS questions:

7. What is an Auto Scaling Group (ASG)?

Answer: An Auto Scaling Group is used to automatically increase or decrease the number of EC2 instances based on conditions like CPU usage or network traffic. It ensures high availability and fault tolerance.

8. What is IAM and why is it important?

Answer: IAM (Identity and Access Management) allows you to control access to AWS resources. You can create users, assign roles, and define permissions, ensuring secure access control.

9. How does AWS Route 53 work?

Answer: Route 53 is a scalable and highly available DNS service that routes end-user requests to Internet applications by translating domain names into IP addresses.

10. Explain the difference between public, private, and hybrid cloud.

Answer:

Public cloud: Services offered over the public internet (e.g., AWS).

Private cloud: Dedicated infrastructure for a single organization.

Hybrid cloud: Combination of public and private clouds, allowing data and applications to move between them.

11. What is a VPC in AWS?

Answer: A Virtual Private Cloud (VPC) is a logically isolated section of the AWS cloud where you can launch AWS resources in a virtual network that you define.

12. What are security groups in AWS?

Answer: Security groups act as a virtual firewall for your EC2 instances to control inbound and outbound traffic. You can set rules based on IP, port, and protocol.

13. What is the difference between Elastic Beanstalk and Cloud Formation?

Answer:

Elastic Beanstalk is a Platform as a Service (PaaS) for deploying web apps.

Cloud Formation is Infrastructure as Code (IaC) that lets you define infrastructure templates.

14. How do you monitor AWS resources?

Answer: AWS CloudWatch is used to monitor logs, metrics, and set alarms. It provides visibility into resource utilization, operational performance, and overall system health.

15. How would you reduce AWS costs in production?

Answer:

Use Reserved Instances for long-term workloads

Enable Auto Scaling to match demand

Clean up unused EBS volumes and snapshots

Implement S3 Lifecycle Policies for data archiving

Use Cost Explorer and Budgets to monitor usage

Tips to Crack AWS Interviews

Understand core services: EC2, S3, Lambda, VPC, RDS, IAM, and CloudWatch are often covered.

Practice scenario-based questions: Interviewers love to test real-life implementation.

Study architectural best practices: Learn about high availability, fault tolerance, and cost-effective designs.

Get hands-on: Use AWS Free Tier to practice setting up services and solving problems.

Certifications add value: Having AWS certifications (e.g., Solutions Architect Associate) shows your commitment and skill level.

Final Thoughts

AWS interviews can range from basic conceptual questions to real-world case scenarios. This blog post offers a well-balanced set of questions for both freshers starting their cloud journey and experienced professionals aiming for senior-level roles. By reviewing and understanding these questions, you’ll gain the confidence and technical fluency needed to succeed in your next AWS interview.

Whether you're applying for roles like Cloud Developer, DevOps Engineer, Solutions Architect, or SysOps Admin, these questions will prepare you thoroughly.

[ccnatraininginchdtips]

Dual Skill Advantage: CCNA + Python Training in Chandigarh

In today’s tech-centric world, employers no longer seek individuals with just one skill. Instead, they prioritize candidates who can adapt, troubleshoot networks, automate tasks, and contribute to various aspects of IT infrastructure. This is where the combination of CCNA and Python training becomes a powerful asset. If you're planning to begin a rewarding career in networking or IT, gaining dual expertise through CCNA + Python Training in Chandigarh could be your smartest move yet.

Why Combine CCNA and Python?

Traditionally, the world of IT and networking has been segmented—network engineers specialized in managing hardware and protocols, while programmers focused on software development. But with the advent of Network Automation, these roles are converging.

Cisco itself has updated its CCNA certifications to include knowledge of automation and programmability, recognizing Python as the leading language for these tasks. When you combine CCNA training with Python programming, you position yourself at the forefront of this evolving trend. You gain the ability to not only configure and manage networks but also write scripts that automate these processes, saving time, reducing human error, and increasing efficiency.

What is CCNA?

CCNA (Cisco Certified Network Associate) is a globally recognized certification provided by Cisco Systems. It validates your ability to install, configure, operate, and troubleshoot medium-size routed and switched networks.

Key topics covered in CCNA include:

IP addressing and subnetting

Routing and switching concepts

VLANs and trunking

WAN technologies

Network security fundamentals

Network automation and programmability

The CCNA certification acts as a strong foundation for a variety of networking careers, including Network Administrator, Network Engineer, and Systems Administrator.

Why Learn Python?

Python is one of the most versatile and beginner-friendly programming languages. It's widely used in various fields such as web development, data science, artificial intelligence, and increasingly, in network automation.

Here’s what makes Python ideal for network engineers:

Simple and readable syntax

Extensive libraries for network automation (e.g., Netmiko, NAPALM)

Integration with APIs and third-party tools

Support for DevOps tools and methodologies

Community-driven support and documentation

Learning Python gives you the power to automate repetitive tasks, parse network logs, interact with APIs, and create network-aware applications. This adds enormous value to your profile in the job market.

Why Chandigarh?

Chandigarh is rapidly emerging as a hub for technical education and professional training in North India. With a range of quality institutes, access to qualified mentors, and industry-aligned curriculum, the city has become a hotspot for IT aspirants.

Whether you're a student, a working professional, or someone planning a career switch, enrolling in a structured training program in Chandigarh provides the ideal environment to grow.

The Dual Skill Advantage Explained

Now let’s explore the combined benefits of enrolling in CCNA Training in Chandigarh along with Python Training in Chandigarh.

1. Better Career Opportunities

While CCNA alone prepares you for roles like Network Engineer or IT Support Specialist, adding Python allows you to apply for more advanced roles such as:

Network Automation Engineer

DevOps Engineer

Systems Integration Specialist

Cloud Infrastructure Engineer

Recruiters are increasingly favoring candidates who can manage both hardware and scripting tasks.

2. Higher Salary Packages

As per industry standards, professionals with both networking and programming skills tend to command higher salaries. Dual-skilled individuals are seen as strategic assets in organizations aiming to scale and automate their IT operations.

3. Relevance to Modern Network Infrastructure

Today’s networks are highly dynamic and cloud-based. Manual configuration is becoming obsolete. Python empowers you to automate device provisioning, gather network telemetry data, and make data-driven decisions faster.

4. Smooth Transition to DevOps and Cloud

If you’re eyeing a future in DevOps or Cloud Engineering, Python knowledge becomes essential. Combining it with CCNA allows for a smoother transition, as you already understand networking essentials and automation principles.

Industry Demand for Dual-Skilled Professionals

The demand for professionals with both networking and scripting knowledge is growing across various sectors:

Telecom companies rely on automated scripts to manage large-scale infrastructure.

IT consultancies need professionals to design, implement, and automate custom network solutions.

Cloud providers like AWS, Google Cloud, and Azure favor engineers with a grasp of infrastructure coding (Infrastructure as Code).

Enterprises with hybrid networks prefer professionals who can maintain both traditional and modern IT frameworks.

Where to Learn: CCNA and Python Training in Chandigarh

To make the most of this dual skillset, it’s essential to choose a reliable and experienced training provider. One such option is CCNA Training in Chandigarh offered by CBitss®, a reputed institute with a proven track record in networking education.

CBitss® provides:

Real-time lab access

Cisco-certified instructors

Updated curriculum based on the latest Cisco syllabus

Hands-on troubleshooting and case studies

Simultaneously, their Python Training in Chandigarh covers:

Basics to advanced Python concepts

Scripting for network automation

Real-world mini-projects

Training aligned with CCNA for seamless integration

By enrolling in both programs, you get a comprehensive learning experience designed to meet modern job market demands.

Who Should Enroll in CCNA + Python Training?

This dual program is ideal for:

Fresh Graduates aiming to enter the IT field with a competitive edge.

Working Professionals in networking roles who want to shift to automation or DevOps.

Software Developers looking to expand their horizons into networking.

Career Switchers seeking a fresh start with high-demand skills.

Tips to Maximize Your Learning

To succeed in your CCNA + Python journey:

Practice Daily: Lab practice for CCNA and coding exercises for Python are both crucial.

Work on Projects: Try creating Python scripts to automate network tasks. Start small and gradually build complexity.

Use Cisco Packet Tracer or GNS3: These simulators are great for testing your CCNA knowledge.

Participate in Forums: Sites like Stack Overflow, Cisco Learning Network, and GitHub offer insights and problem-solving opportunities.

Stay Updated: Follow tech trends, attend webinars, and read blogs to remain aware of how networking and automation evolve.

Final Thoughts

The tech industry is changing rapidly, and staying ahead means adapting to hybrid roles and multi-skill demands. A combination of CCNA and Python training equips you with both the operational understanding of networks and the programming skills needed to automate and optimize them. This dual-skill path opens doors to lucrative job opportunities and long-term career stability.

If you're in Chandigarh and looking to take a proactive step towards future-proofing your IT career, CCNA + Python training is the way to go.

[hiringjournal]

Scaling Your Tech Team? Why It’s Time to Hire a Staff Software Developer

Your company's technological infrastructure demands will change and expand with it. It can be difficult to scale a tech team, particularly when projects get more complicated and there is a greater need for high-quality software. The staff software developer is one critical position that becomes vital during this growth process. 

These experts are essential in overseeing and managing projects to make sure they are designed to scale and function well. A staff software developer is an investment in talent and growth for tech organizations seeking to grow their teams and create dependable software solutions. In this article, we will go over the benefits of hiring a staff software engineer as well as how to pick the best applicant for your growing tech team.

Building a Strong Foundation for Growth with the Right Developer Talent

Having someone who can oversee projects, guide more junior engineers, and guarantee that the software design is scalable and maintainable is crucial as your tech team expands. A staff software developer is a person who possesses the expertise and leadership qualities necessary to advance major projects in addition to having highly developed technical skills.

These developers are very valuable to tech organizations because they make sure that projects are completed on time, within budget, and in accordance with company needs. They are skilled at managing intricate software development activities, supervising the work of other developers, guaranteeing good code quality, and reducing errors.

Leadership and Mentorship Skills

Hiring staff software developers also gives your team a vital leader. In addition to discussing best practices, resolving problems, and helping to establish high standards for coding methods, staff developers frequently serve as mentors for less seasoned team members. In addition to their technical responsibilities, they also determine the direction for the development process and mentor the team as a whole through difficulties.

A staff software developer not only knows how to code but also solves problems, can explain complicated concepts to stakeholders who are not technical, and can assist in bridging the gap between business teams and developers. For tech organizations looking to have a seamless workflow as their staff expands, this makes them indispensable.

Focus on Scalable Software Solutions

As a digital company, you need to concentrate on scalability to make sure your software can manage growing user engagement and traffic as your business grows. One of the most important steps in making sure your software solutions are scalable is hiring a staff software developer.

A staff software developer is adept at creating software architectures that adapt to the demands of your business. Building systems that are adaptable, modular, and able to be changed as new features or technologies become available is one of their specialities. When expanding your tech operations, this future-proofing component is crucial.

Expertise in Modern Technologies

A staff software developer contributes knowledge of the newest programming techniques and technology. They are knowledgeable about the technology your team uses, including DevOps, cloud computing, and microservices. They can create systems with confidence thanks to their knowledge, which guarantees their effectiveness and efficiency.

Hiring full stack developers may be the best choice if you are searching for a developer who can manage several project facets. These experts can handle intricate, multi-layered projects that call for a thorough comprehension of the entire software stack since they combine front-end and back-end skills.

The Right Time to Hire Staff Software Developers

In conclusion, while your business is expanding its tech operations, it is imperative that you hire staff software developers. They offer scalable knowledge, leadership, mentoring, and the capacity to promote cross-functional cooperation. Their sophisticated knowledge and expertise are priceless as your business expands, guaranteeing that your software solutions are designed for success. 

Hiring a staff software developer can help your tech organization to grow your development teams and create scalable, dependable, high-quality software systems that are prepared for new challenges.

[itonlinetraining12]

Why Should You Consider a Software Quality Assurance Course in 2025?

In the ever-evolving tech landscape of 2025, software quality assurance (SQA) is no longer a background process it’s a vital pillar of successful software development. With digital transformation continuing across industries, delivering reliable, secure, and user-friendly software is paramount. That’s where software quality assurance courses step in, offering learners a gateway to a rewarding, high-demand career.

Whether you’re a fresh graduate, IT professional, or career-switcher, this blog post will explain why enrolling in a Software Quality Assurance course in 2025 could be the smartest move you make.

What Is Software Quality Assurance?

Software Quality Assurance (SQA) refers to the systematic process of ensuring software products and processes meet predefined quality standards. This goes beyond just finding bugs SQA professionals are responsible for the entire software development lifecycle (SDLC), ensuring that every stage, from planning to deployment, upholds quality.

Core responsibilities of an SQA professional include:

Writing test plans and strategies

Executing manual and automated tests

Reporting bugs and tracking issues

Ensuring compliance with industry standards

Enhancing product usability and performance

Why SQA Matters More Than Ever in 2025

With AI, cloud computing, cybersecurity, and IoT dominating the IT landscape, software systems are becoming more complex. Businesses can't afford poor performance or downtime.

Here’s why SQA is more relevant than ever:

Rising User Expectations: Users expect seamless, bug-free experiences. Poor quality can lead to reputational damage and user loss.

Security Threats: Cybersecurity flaws often stem from poor testing. SQA ensures security is embedded from the beginning.

DevOps & Agile Integration: SQA is now part of Continuous Integration/Continuous Deployment (CI/CD) pipelines, not just a post-development step.

Cost Efficiency: Fixing bugs after release is 4x–5x more expensive than fixing them during development. QA saves money.

Regulatory Compliance: Industries like healthcare and finance require rigorous testing and documentation.

Job Market Outlook for SQA in 2025

According to the U.S. Bureau of Labor Statistics, the employment of software quality assurance analysts and testers is projected to grow 25% from 2022 to 2032, much faster than the average for all occupations.

Key job titles you can pursue include:

Software QA Analyst

QA Automation Engineer

Manual Tester

Test Architect

Quality Engineer

SDET (Software Development Engineer in Test)

These roles are in demand across industries like fintech, healthcare, e-commerce, education, and telecommunications.

What You Learn in a Software Quality Assurance Course

An SQA course in 2025 typically blends theory and hands-on practice. Here's what you can expect to learn:

1. Fundamentals of Software Testing

Types of testing (Unit, Integration, System, Acceptance)

Testing methodologies (Black box, White box, Grey box)

Waterfall vs. Agile vs. DevOps testing environments

2. Test Planning and Documentation

Writing test cases and test plans

Creating requirement traceability matrices (RTMs)

Bug reporting using tools like JIRA or Bugzilla

3. Manual Testing Techniques

Exploratory testing

Regression testing

Smoke and sanity testing

4. Automation Testing Tools

Selenium WebDriver

TestNG

JUnit

Cucumber for BDD

5. Performance and Load Testing

Tools like JMeter, LoadRunner

Measuring scalability, latency, and throughput

6. API Testing

Tools like Postman and REST Assured

JSON, XML handling, authentication, and error codes

7. CI/CD & DevOps Integration

Jenkins, GitHub Actions

Test automation pipelines

8. Soft Skills for QA

Communication with developers and stakeholders

Time management and analytical thinking

Benefits of Taking a Software QA Course in 2025

Let’s explore the major advantages of pursuing an SQA course this year.

1. Fast-Track Entry into the IT Industry

You don’t need to be a hardcore coder to start a career in QA. With foundational knowledge and practical skills, you can land your first job in tech quickly especially if you choose a QA certification online that includes job placement assistance.

2. Versatile Career Opportunities

SQA skills are transferable across industries and tech stacks. Once you’re in QA, you can move into:

Automation Testing

Performance Engineering

QA Lead roles

DevOps

Product Ownership

Business Analysis

3. Lucrative Salaries

In the U.S., the average salary of a Software QA Analyst in 2025 ranges from $70,000 to $120,000 annually, depending on experience and specialization. Automation testers and SDETs command even higher salaries.

4. Remote-Friendly Career

QA jobs are highly remote-friendly. Many companies offer hybrid or fully remote QA roles, perfect if you value flexibility and work-life balance.

5. Growing Demand for Automation Skills

With the rise of AI-driven testing and automation tools, companies are eager to hire QA professionals who are comfortable with scripting, version control, and frameworks. A modern SQA course prepares you for this transition.

Who Should Take a Software Quality Assurance Course?

SQA courses are ideal for:

Fresh graduates in computer science or engineering

Working professionals looking to switch to IT

Manual testers aiming to upskill to automation

Non-IT professionals entering tech without a coding background

Stay-at-home parents reentering the workforce

International students looking for U.S.-based tech roles

What to Look for in a Good QA Course in 2025

Not all QA courses are created equal. When choosing one, ensure it offers:

Updated Curriculum

Covers AI/ML testing, API testing, cloud platforms, and DevOps integration.

Hands-On Projects

Look for real-world assignments and capstone projects.

Tools and Frameworks

The course should teach you tools like Selenium, JIRA, Jenkins, Postman, Git.

Certification Preparation

Helps prepare for ISTQB, Certified Tester Foundation Level (CTFL), or similar credentials.

Placement Support

Resume building, mock interviews, job referrals, and career coaching.

Flexibility

Weekend batches, self-paced modules, and 100% online access are ideal for working professionals.

Real-World Use Cases of QA in 2025

Let’s look at a few real-world scenarios that show why SQA is critical today.

Healthcare

Electronic Health Record (EHR) systems must be secure, fast, and comply with HIPAA regulations. QA ensures error-free data handling and system uptime.

E-commerce

Web apps like Amazon or Shopify must handle thousands of users simultaneously. QA teams test payment integrations, cart logic, inventory syncing, and checkout flows.

Mobile Apps

Every update of an app like Uber or Instagram goes through regression and UI testing to ensure consistency and prevent crashes.

Cloud Platforms

SaaS products need automated regression and performance testing to support CI/CD pipelines. QA ensures cloud compatibility and scalability.

Manual Testing vs. Automation: What Should You Learn?

While manual testing is a great starting point, automation testing is where the future lies.

Manual Testing

Easier to learn

Useful for exploratory, usability, and ad-hoc testing

Limited scalability

Automation Testing

Requires scripting skills (Python, Java, JavaScript)

Used for regression, performance, and load testing

Essential in Agile and CI/CD environments

Tip: Start with manual, then move into automation as you grow your skills.

Certifications That Boost Your QA Career

While experience matters most, certifications can set you apart.

ISTQB Certified Tester

Certified Agile Tester (CAT)

Certified Selenium Professional

Certified Tester in AI and ML (new in 2025!)

These demonstrate your knowledge and commitment to quality assurance.

How to Get Started with a QA Course

Here’s a simple path to begin your SQA learning journey:

Identify Your Career Goals: Are you aiming for manual testing, automation, or DevOps QA?

Choose the Right Course: Pick one with job support, live projects, and real tools.

Commit to the Timeline: Most QA courses take 2–6 months depending on your pace.

Build a Portfolio: Include GitHub projects, automation scripts, and reports.

Prepare for Interviews: Practice scenario-based QA questions, tool-based exercises, and communication skills.

Apply & Land the Job: Target companies that need entry-level QA testers or automation engineers. Key Takeaways

Software Quality Assurance is more critical than ever in 2025, thanks to complex systems, cybersecurity threats, and continuous delivery models.

SQA courses are ideal for career changers, freshers, and non-coders wanting to enter tech.

The right course equips you with tools, frameworks, certifications, and real-world experience.

Automation testing and integration with DevOps pipelines are high-value skills in today’s job market.

A QA course can help you land high-paying, remote-friendly roles across industries.

Final Thoughts:

In 2025, technology is everywhere, in banking apps, e-learning portals, e-commerce platforms, healthcare systems, and even smart homes. What ties all this together is software that works. And the people ensuring that software works? QA professionals.

By enrolling in a software quality assurance course, you're not just learning a skill; you’re opening the door to a career with stability, purpose, and growth. Whether you want to test, automate, lead QA teams, or integrate into DevOps pipelines, the future of QA is full of opportunity.

Ready to kickstart your journey in Software Quality Assurance?

Look for flexible, job-ready QA software testing courses with hands-on projects and placement support. Your new tech career might be just a course away.

[ioweb3tech]

How Generative AI Development Is Reshaping the Digital Innovation Landscape

Introduction Artificial intelligence has entered a new era—one where machines not only learn but also create. From text and images to music and code, generative AI is empowering businesses to develop groundbreaking applications that save time, automate processes, and unlock creativity at scale. Today, companies that invest in advanced generative AI development are positioning themselves at the forefront of digital innovation.

This article explores how generative AI works, where it’s being used, and why integrating technologies like NLP automation and AI model engineering is the key to sustainable success.

What Is Generative AI? Generative AI refers to algorithms—especially large language models and neural networks—that can generate new data based on existing datasets. Whether it’s crafting articles, designing images, writing code, or composing audio, these systems can “create” rather than just analyze.

Popular models include:

GPT (text generation)

DALL·E (image generation)

Codex (code generation)

StyleGAN (visual art)

What used to require a team of professionals can now be prototyped in minutes using AI.

Business Applications of Generative AI From automating customer communication to designing digital content, use cases for generative AI are growing rapidly:

Marketing & Content Creation: Instant ad copy, blog posts, and social media creatives

Product Development: AI-assisted code generation and mockups

Customer Support: AI-generated responses based on user behavior

Healthcare: Simulating medical scenarios or generating diagnostic visuals

When paired with nlp automation, these tools can also understand and respond to human language more naturally—making them ideal for chatbots, voice assistants, and virtual agents.

The Role of NLP Automation Natural Language Processing (NLP) bridges the gap between human language and machine understanding. NLP automation enhances generative AI by enabling:

Semantic understanding of prompts

Accurate summarization and translation

Sentiment analysis in customer conversations

Context-aware content generation

NLP ensures generative systems don’t just produce content, but also comprehend tone, intent, and structure. This is especially useful in business tools like CRM integrations, automated reporting, and support chatbots.

Why AI Model Engineering Matters You can’t just plug in a pre-trained model and expect miracles. True generative success depends on the quality of model customization, training data, and performance tuning—this is where ai model engineering comes into play.

AI model engineers fine-tune generative models to:

Align output with brand tone

Reduce biases in generated content

Improve contextual understanding

Enhance latency and responsiveness

From managing training pipelines to ensuring responsible AI usage, engineering plays a foundational role in turning an AI prototype into a production-grade product.

Industries Disrupted by Generative AI

Media & Entertainment – Personalized video scripts, music scores, and image editing

Finance – Auto-generated insights, compliance documents, fraud detection reports

E-learning – AI-crafted lesson plans, quizzes, and explanations

E-commerce – Smart product descriptions, banner designs, and SEO content

Healthcare – Synthetic data generation for privacy-preserving diagnostics

Why Work with an AI Development Partner? Generative AI is powerful, but it's also complex. You need a team that understands not just the algorithms, but the business context and ethical boundaries.

A partner like Ioweb3 brings:

Full-cycle generative AI development

Domain-specific NLP integration

Scalable model engineering and DevOps

Transparent, explainable AI solutions

Final Thoughts Generative AI isn’t a tool—it’s a paradigm shift. As businesses seek faster, smarter, and more creative ways to engage users, generative models are emerging as the ultimate accelerator. With NLP automation and strong AI model engineering, your product can think, write, respond, and create in ways that were unimaginable just a few years ago.

[shonatanwer98]

What is CI/CD in DevOps? A Detailed Guide to Continuous Integration and Continuous Delivery- OpsNexa!

Discover what CI/CD (Continuous Integration and Continuous Delivery) means in the context of DevOps. This guide explains how CI/CD helps streamline the software development process by automating code integration, testing, and deployment. What is CI/CD in DevOps? Learn the importance of CI/CD for faster, reliable, and high-quality software delivery, along with the best tools and practices for implementing CI/CD pipelines.

[ascendient-learning]

6 AWS Training Paths That Don’t Lead to Certification—But Do Lead to Jobs

Not every valuable learning path ends with a certificate. If you're aiming to land a role working with Amazon Web Services but don't feel ready or interested in pursuing a formal certification just yet, you're not out of options. Some of the most practical and job-relevant skills can be learned through non-certification AWS training paths that focus more on real-world use than test-taking.

Here are six training routes that can put you in a strong position for employment, even without that certification badge.

1. Hands-On Projects in Cloud Automation and DevOps

You can gain highly marketable skills by building automation pipelines and working with tools like Terraform, Ansible, or AWS CloudFormation. Employers often value candidates who can automate infrastructure deployments, monitor systems, and manage lifecycle events. Focus on building a personal portfolio of real AWS deployments. Sites like GitHub or even personal blogs can showcase your AWS training through tangible results rather than theoretical knowledge.

2. Specialization in Cost Optimization and Cloud Economics

Many companies move to the cloud expecting savings and then struggle with surprise billing. If you spend time studying AWS billing, cost explorer, and budget alerts—not through certification courses but through real-world documentation and training labs—you can carve out a niche as a cost management specialist. This skill is in demand at startups and growing tech companies that want to keep cloud expenses under control without hiring a full-time financial analyst.

3. Data Engineering with AWS Glue and Athena

Certifications tend to focus on broad strokes, but if you go deep into specific tools like AWS Glue, Athena, and Kinesis, you can gain practical skills for data engineering roles. This kind of AWS training is best done through platform-specific labs, tutorials, and sandbox experimentation rather than a certification path. Knowing how to wrangle data, write ETL jobs, and analyze logs can qualify you for entry-level data roles that focus more on delivery than credentials.

4. Real-World Security Practices Using IAM and CloudTrail

Cloud security jobs don’t always require certification. Instead, companies often look for hands-on experience with Identity and Access Management (IAM), logging policies, and event tracking. If you can show that you know how to lock down environments, set up alerts using AWS CloudTrail and GuardDuty, and write compliance scripts using Lambda functions, you’ll stand out. Seek out AWS training modules that walk through these configurations in detail—even better if you can replicate and explain them during an interview.

5. Serverless Architecture with Lambda and EventBridge

Serverless development is gaining ground in both startups and enterprises. Learning how to design applications using AWS Lambda, EventBridge, API Gateway, and DynamoDB can give you a serious advantage, especially if you focus on building actual applications rather than prepping for multiple-choice exams. Many free or low-cost AWS training paths walk you through real use cases like building chatbots, automating notifications, or processing media files.

6. Internal Team Enablement or Cloud Evangelism Roles

Finally, there’s a lesser-known track that involves becoming an internal AWS “translator.” This involves helping non-technical teams understand how AWS works, assisting in onboarding engineers to AWS tools, or even creating internal documentation and guides. While this may not sound technical, it requires a deep functional understanding of AWS products. You can develop this skill by combining AWS training videos with communication practice, such as giving mini-tech talks or writing internal wikis.

Conclusion

Thorough AWS training and certifications are great for validating knowledge, but they’re not the only way to show you're job-ready. If you focus on learning AWS in a way that helps businesses solve real problems, you’ll find employers are more interested in what you can do than what certificates you hold. Build something, break things safely, document your process, and keep learning.

For more information, visit: https://www.ascendientlearning.com/it-training/aws

[enterprisereview]

CloudHub BV: Unlocking Business Potential with Advanced Cloud Integration and AI

In today’s digital-first world, enterprises struggle to merge legacy systems, ensure data compliance, and inject intelligence into operations. Under the leadership of Susant Mallick, CloudHub BV is revolutionizing cloud integration and AI‑driven transformation — enabling businesses to move faster, act smarter, and stay secure in the cloud era.

Visionary Leadership by Susant Mallick

With 23+ years of tech leadership at Amazon, Cognizant, and other giants, Susant Mallick founded CloudHub in 2022 to democratize data modernization and automation. His engineering background, coupled with business acumen from navigating Y2K, healthcare, and Life Sciences, shaped his conviction: rapid value delivery through cloud and AI is not just possible — it’s imperative.

Core Values and Team Excellence

Guided by Susant Mallick’s principles, CloudHub operates with integrity, transparency, and relentless innovation . With veterans from Amazon and Microsoft, the team emphasizes:

2–3× faster delivery cycles

Agile, customer‑centric culture

Continuous learning through workshops, hackathons, and certifications.

This mindset ensures CloudHub is a partner, not just a vendor.

Recognition as a Top Provider

CloudHub earned recognition from IndustryWorld Magazine as a top 10 Salesforce solutions partner in 2024, underscoring its strength in data modernization and Generative AI. At the DIA conference, Susant Mallick spoke on using GenAI for clinical trial protocols — highlighting CloudHub’s cross-industry reach. His recognition as “Tech Entrepreneur of the Year 2024” from CIO Today further reinforces this legacy.

End‑to‑End Cloud Engineering Excellence

Seamless Migration & Modernization

CloudHub offers comprehensive cloud engineering services:

Migration to AWS/Azure with minimal disruption

Modernized applications via microservices and serverless architecture

DevOps pipelines to accelerate time-to-market

All of this is backed by robust frameworks like Well‑Architected reviews and CIS compliance.

Data Modernization & Analytics

Their DataCube framework provides data mesh and MLOps capabilities to accelerate business insights. Whether in healthcare, retail, or manufacturing, Susant Mallick emphasizes the importance of making data actionable and secure.

Security and Compliance First

With a focus on GxP, HIPAA, GDPR, PCI, SOC, ISO, HITRUST, and continuous automation, CloudHub ensures regulatory readiness. The CompQ solution enhances compliance by 20–30%, reflecting Susant Mallick’s insistence on privacy-by-design.

Intelligent Automation & Conversational AI

AI Chatbots & Business Process Automation

CloudHub integrates AI-powered chatbots that support 24/7 customer engagement, automating mundane queries while improving efficiency and satisfaction.

Predictive Maintenance & RWD Integration

Led by Susant Mallick, CloudHub’s AI/ML frameworks enable predictive maintenance — analyzing real-time data to forecast equipment downtime. CloudHub’s participation in the DIA conference showcased GenAI with real-world pharma data, reflecting a mature AI approach.

GenAI in the Cloud

In the “Architecting the Future of GenAI in Cloud” webinar, Susant Mallick explained the GenAI Foundation Framework that underpins CloudHub’s strategic AI adoption. The company’s focus is on building clusters that scale, secure, and respond dynamically to user needs — and then optimize with AI.

Digital Transformation Across Industries

Salesforce — Tailored Delivery

As a top Salesforce partner, CloudHub builds solutions like HealthQ and DataCube, tailored for sectors such as pharma, fintech, and healthcare. The leadership from Susant Mallick ensures that digital tools connect meaningfully to business outcomes.

Life Sciences & Healthcare Focus

At the India-Netherlands life sciences mission and DIA pharma events, CloudHub led conversations on AI in R&D, homecare, and digital patient engagement — demonstrating domain depth under Susant Mallick’s vision .

Scaling Across Verticals

Their client portfolio spans manufacturing, retail, automotive, BFSI, and more. Regardless of industry, Susant Mallick delivers solutions that integrate cloud, AI, and actionable insights at scale.

Culture of Continuous Learning

Workshops & Webinars

CloudHub hosts regular sessions — ranging from GenAI cloud architecture to compliance and data mesh topics — fostering client and internal talent development .

Talent Ecosystem & Global Network

With a presence in the Netherlands and India, CloudHub maintains a distributed talent network under Susant Mallick’s stewardship. Drawing on expertise from cloud and PhD-level data professionals, they ensure both agility and depth .

Agile Principles & Emotional Intelligence

CloudHub embraces rapid iteration, emotional intelligence in leadership, and a “hackathon mentality” to drive innovation — tenets guided by Susant Mallick.

Roadmap & Strategic Vision

End‑to‑End Solution Expansion

CloudHub is building out full AI stacks — combining predictive analytics, compliance automation, and white-label solutions — while extending vertical focus into financial and industrial sectors .

Ecosystem Partnerships

Through collaborations with AWS, Azure, Salesforce, and data partners, Susant Mallick is shaping a compliance-first, innovation-native ecosystem.

Democratizing Innovation

His mission includes providing SMEs access to workshops (e.g., generative AI for pharma), open-source frameworks, and ethical AI guidance — making advanced tech accessible .

Final Reflection

Under Susant Mallick’s leadership, CloudHub BV is redefining cloud integration and AI adoption. With an ethos that balances speed, security, and empathy, the company empowers businesses to transition confidently into AI-driven futures.

Guided by values, experience, and a relentless client focus, CloudHub stands as a model for scalable, ethical, and intelligent digital transformation — showing the world what modern cloud leadership looks like.

[itsmekalyani]

Observability vs. Monitoring: Implementing Distributed Tracing with Open Telemetry in Bangalore

Introduction: Why Observability is Bangalore’s New Tech Superpower Did you know that 60% of IT outages in distributed systems occur due to undetected latency between services (Gartner 2023)? For a tech hub like Bangalore—where companies deploy hundreds of microservices—traditional monitoring is like checking a car’s speedometer while ignoring its engine diagnostics.

Take the case of a Bangalore e-commerce giant that reduced checkout delays by 40% after implementing OpenTelemetry for distributed tracing. Suddenly, they could see the entire customer journey—from cart additions to payment processing—as a single, traceable flow.

For DevOps professionals in DevOps coaching in Bangalore, mastering observability tools like OpenTelemetry isn’t just about fixing bugs faster—it’s about preventing them altogether. This guide breaks down: ✔ Observability vs monitoring: Key differences ✔ How OpenTelemetry transforms troubleshooting ✔ Bangalore-specific implementation strategies

Monitoring vs. Observability: What Bangalore’s Tech Teams Need to Know

Monitoring: The Rearview Mirror What it does: Alerts you when known metrics (CPU, memory) breach thresholds Limitation: Can’t explain why a payment gateway times out

Observability: The X-Ray Vision What it provides: Distributed traces (Full request journeys) Context-rich logs Multi-dimensional metrics Bangalore Example:

OpenTelemetry trace of an e-commerce order

Browse (150ms) → AddToCart (200ms) → PaymentGateway (2000ms) → Confirm (150ms)

This trace exposed a slow third-party payment API—solved by switching providers.

The Tool Stack Revolution Purpose Monitoring Tools Observability Tools Metrics Nagios, Zabbix Prometheus, OpenTelemetry Tracing N/A Jaeger, OpenTelemetry Logs ELK Stack Loki, OpenTelemetry

This stack is now taught in advanced DevOps coaching in Bangalore programs.

Why OpenTelemetry? The Bangalore Advantage

Unified Data Collection Single SDK for traces, metrics, logs Vendor-agnostic: Works with AWS, GCP, Azure

Auto-Instrumentation Magic Zero-code changes for Java/Python apps Example: A Koramangala startup traced Django API latencies in 2 hours

Cost-Efficient Scaling Sampling controls: Keep only 10% of traces but 100% of errors

Bangalore Case Study: From 4-Hour Outages to 4-Minute Fixes Problem: A food-delivery app’s orders failed randomly during peak hours.

OpenTelemetry Implementation: Instrumented all microservices (Python + Go)

Discovered: Restaurant API cached menu data incorrectly Delivery service leaked database connections

Fixed: Added Redis caching Implemented connection pooling

Results: ✅ MTTR reduced from 4 hours → 4 minutes ✅ Peak throughput increased by 35% This troubleshooting prowess is why DevOps coaching in Bangalore prioritizes observability labs.

Overcoming Observability Challenges ❌ “Too Much Data!” Solution: Focus on SLOs (e.g., “Checkout < 2s”) Use flame graphs to spot latency hotspots ❌ “Complex Setup” Fix: Start with auto-instrumentation → expand gradually ❌ “Team Resistance” Strategy: Show cost savings—every 1% uptime improvement = $250K+ saved (Forrester)

Bangalore’s Observability Adoption Roadmap Start Small Instrument one critical service (e.g., payments) Build Context Add business attributes to traces: span.setAttribute("user.tier", "premium"); Correlate Everything Link traces to logs/metrics via TraceID Automate Alerts Trigger Slack alerts when: Error rate > 1% P99 latency > 500ms Upskill Continuously Advanced techniques are covered in DevOps coaching in Bangalore

Why Bangalore’s Tech Ecosystem Needs Observability 🔹 Microservices Boom: 70% of Bangalore tech firms use containers 🔹 Competitive Edge: Observability engineers earn 40% more 🔹 Industry-Aligned Training: DevOps coaching in Bangalore now includes: OpenTelemetry certification prep Distributed tracing labs Incident simulation drills

Conclusion: Observability—Your Microservices Crystal Ball In Bangalore’s high-stakes tech landscape: ✔ Monitoring tells you when something breaks ✔ Observability shows why—before users notice For DevOps professionals, DevOps coaching in Bangalore provides the hands-on Open Telemetry experience needed to future-proof careers.

Ready to see through your systems like never before? Enroll today and master observability’s superpowers!

What’s your biggest visibility challenge—sporadic latency or alert fatigue? Share your war stories below!

[transcuratorsblog]

How to Choose the Right Technical Writing Service Provider

Whether you're launching a SaaS product, building complex machinery, or preparing regulatory documentation, one thing is certain—clear and accurate technical documentation is non-negotiable. But producing high-quality manuals, help guides, SOPs, and API docs requires more than just good writing skills. It demands structure, clarity, domain knowledge, and technical precision.

That’s why many companies turn to professional Technical Writing Services to create documentation that improves user experience, reduces support costs, and ensures compliance. However, not all service providers are created equal. So how do you choose the right one?

Here’s a step-by-step guide to help you select the best technical writing service provider for your business.

1. Define Your Documentation Needs Clearly

Before shortlisting any providers, you must understand your own requirements. Are you looking to:

Create user manuals for a new product?

Update existing documentation?

Build a developer portal with API and SDK guides?

Prepare internal SOPs or compliance documents?

Clearly defining your needs helps you filter out providers who don’t specialise in your domain or document type. It also allows you to request relevant samples and accurate quotes.

2. Look for Industry-Specific Experience

Technical writing is not a one-size-fits-all service. Writing for a healthcare startup is vastly different from documenting a cloud-based DevOps platform. Choose a service provider who understands your industry vocabulary, compliance standards, and end-user expectations.

Ask potential vendors:

Have you worked with companies in our industry?

Can you share samples or case studies?

What tools or platforms are you familiar with (e.g., Confluence, Git, MadCap Flare)?

Providers with relevant domain expertise will onboard faster and deliver better documentation from day one.

3. Evaluate Writing Samples and Style

Don’t just rely on testimonials or brochures—ask for real writing samples. When reviewing them, assess the following:

Is the content clear and logically structured?

Does it avoid jargon or explain it where necessary?

Are diagrams, visuals, or tables used effectively?

Is it task-oriented and easy to navigate?

A good technical writing sample should guide the reader with minimal confusion, even if they’re unfamiliar with the product.

4. Ask About Their Research Process

Great documentation doesn’t come from guesswork. It comes from solid research and collaboration. Find out how the service provider gathers information:

Do they interview subject matter experts (SMEs)?

Will they attend sprint or product meetings?

How do they validate technical accuracy?

The best service providers act like embedded team members—collaborating with developers, product managers, and QA teams to get the facts straight.

5. Understand Their Tools and Workflow

Ask about the tools they use for writing, collaboration, version control, and publishing. Depending on your project, they should be comfortable with platforms like:

Markdown, HTML, XML for developer docs

FrameMaker or DITA for structured writing

Jira, Trello, or ClickUp for project tracking

CMS or helpdesk integrations for content delivery

A tech-savvy writing partner saves time and integrates better into your team’s workflow.

6. Clarify Turnaround Time and Scalability

Documentation projects often evolve. Your product might expand, your team might scale, or you may need rapid turnarounds during a release sprint. Ask:

What’s your typical turnaround time for a user guide or API doc?

Can you scale up resources if our documentation needs grow?

Do you offer ongoing maintenance and versioning support?

A flexible, scalable provider will grow with your business without sacrificing quality.

7. Review Communication and Project Management

Great writing is only part of the equation. How well the provider communicates, meets deadlines, and handles feedback also matters. During the proposal phase, observe how responsive and organised they are.

You can also ask:

Who will be our main point of contact?

How do you handle change requests?

Do you provide documentation plans or timelines?

Clear communication leads to fewer revisions and smoother delivery.

Conclusion

Choosing the right technical writing service provider is not just about hiring a writer—it’s about finding a partner who understands your product, your users, and your business goals. A good provider will deliver more than documentation—they’ll deliver clarity, consistency, and a better experience for your customers and team.

If you're ready to elevate your documentation quality, reduce support load, and improve user satisfaction, explore professional Technical Writing Services that bring domain expertise, structured workflows, and content precision tailored to your needs.

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How To Become a DevOps Engineer In Six Months or Less

Breaking into the tech industry doesn’t always require years of formal education or advanced degrees. With a clear plan, the right resources, and consistent effort, you can become a DevOps engineer in six months or less. DevOps engineering is one of the most sought-after roles in IT, bridging the gap between development and operations teams to streamline software delivery, infrastructure management, and system reliability.

DevOps engineers are responsible for automating and optimizing development pipelines, maintaining cloud infrastructure, and ensuring continuous integration and delivery (CI/CD). As businesses strive to deploy software faster and with fewer errors, DevOps managed services have become crucial for success. And that’s why skilled DevOps professionals are in high demand across sectors.

Month 1: Build Your Foundation

Start by understanding what DevOps actually is. Familiarize yourself with the core principles—collaboration, automation, continuous integration, continuous delivery, monitoring, and feedback loops. Learn the basics of system administration, networking, and Linux commands.

Next, get comfortable with a programming or scripting language. Bash, Python, and Go are commonly used by DevOps professionals. Platforms like Codecademy, FreeCodeCamp, or Udemy offer beginner courses tailored to aspiring engineers.

Also, learn Git and GitHub. Version control is at the heart of DevOps collaboration, and every engineer needs to master it.

Month 2-3: Learn Core Tools and Practices

In the second and third months, immerse yourself in the tools that define modern DevOps. Learn:

CI/CD tools like Jenkins, GitLab CI, or CircleCI

Configuration management with Ansible or Puppet

Containerization with Docker

Orchestration using Kubernetes

Infrastructure as Code (IaC) with Terraform

Cloud platforms such as AWS, Azure, or GCP

Each of these tools plays a role in delivering scalable, automated systems. Most real-world DevOps environments also rely on monitoring and logging tools like Prometheus, Grafana, and ELK Stack to maintain visibility across pipelines.

To gain practical exposure, build simple pipelines and deploy dummy applications using these tools. Use labs and sandbox environments to simulate real-world workflows. At this stage, you’ll begin to understand why businesses often hire a DevOps consultant to streamline complex toolchains and ensure optimal efficiency.

Month 4-5: Work on Real Projects and Certification

Start contributing to open-source DevOps projects on GitHub. Alternatively, create your own sample projects—deploy a web app using Docker and Kubernetes, automate its deployment with Jenkins, and host it on AWS using Terraform. Document everything in a blog or GitHub README.

Enroll in a certification course to validate your skills. Top certifications include:

AWS Certified DevOps Engineer – Professional

Certified Kubernetes Administrator (CKA)

Microsoft Certified: DevOps Engineer Expert

Google Cloud Professional DevOps Engineer

Earning one of these credentials not only boosts your resume but also proves your commitment to employers.

During this stage, you’ll also start noticing how important soft skills are. DevOps is not just about tools—it’s about culture. Understanding collaboration, agile methodologies, and communication are essential, especially when working in a team undergoing DevOps transformation consulting.

Month 6: Apply and Practice

By now, you should have a portfolio of projects, hands-on experience with core tools, and possibly a certification. Start applying for internships, freelance gigs, or entry-level roles with DevOps responsibilities. Tailor your resume to showcase not just your skills but your outcomes—automated deployments, improved system uptime, reduced manual errors, etc.

As you prepare for interviews, practice explaining CI/CD processes, troubleshooting deployment issues, and designing scalable cloud infrastructure. Mock interviews with peers or mentors can improve your confidence.

A quote that often resonates with DevOps aspirants is from Gene Kim, co-author of The Phoenix Project: “DevOps is the outcome of applying the most trusted principles from the physical manufacturing world to the IT value stream.” It’s a discipline rooted in results, and employers are always on the lookout for engineers who can demonstrate tangible value.

Final Thoughts

Becoming a DevOps engineer in six months is absolutely achievable with dedication, structured learning, and real-world practice. The journey may be intense, but the rewards—in terms of career growth, compensation, and job satisfaction—are immense.

As you take your first steps toward this high-impact role, remember that continuous learning is at the heart of DevOps. DevOps consulting services can give you further insight into enterprise-level DevOps transformations, especially when you begin working in team environments or consulting roles.

Ready to accelerate your DevOps journey? Visit Cloudastra Technology: Cloudastra DevOps as a Services to explore real-world use cases, expert consulting, and managed services designed for modern software delivery. Let Cloudastra be your partner in mastering DevOps and building the future of digital infrastructure.

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Is Your Team Ready for the SRE Mindset?

In the ever-evolving world of IT and software development, ensuring system reliability, performance, and scalability is more critical than ever. That’s where SRE, or Site Reliability Engineering, comes into play. This discipline bridges the gap between development and operations by applying software engineering principles to infrastructure and operations problems.

In this article, we’ll uncover the full form of the SRE process, explain its core components, and explore why it’s vital for modern IT organizations.

What is SRE? (Full Form & Definition)

SRE stands for Site Reliability Engineering. It is a set of principles and practices that incorporates software engineering approaches to solve IT operations problems. Originally pioneered by Google, SRE helps organizations build and maintain highly reliable and scalable systems.

In simpler terms, SRE ensures that websites, applications, and services remain up and running efficiently, even as they scale to support millions of users.

Core Components of the SRE Process

The SRE process is not a one-time activity; it’s a continuous lifecycle that focuses on balancing system reliability with feature velocity. Below are the key pillars that make up the SRE process:

1. Service Level Objectives (SLOs) and Service Level Indicators (SLIs)

SLIs are metrics that measure aspects like latency, availability, and error rates.

SLOs are targets for these indicators, providing a threshold for acceptable performance.

Together, they help define what reliability looks like for a given system.

2. Error Budgets

The difference between 100% availability and your SLO target (e.g., 99.9%) is the error budget.

It allows developers to take risks and innovate without compromising reliability.

3. Incident Management & Postmortems

SRE teams handle incident response, including detection, mitigation, and communication.

After resolving an issue, a blameless postmortem is conducted to understand root causes and improve systems.

4. Monitoring and Observability

Real-time monitoring tools and logs help detect anomalies.

Observability enables understanding why a system is behaving a certain way, not just that it’s behaving differently.

5. Automation & Elimination of Toil

SRE emphasizes automating repetitive tasks and manual operations to reduce human error and increase efficiency.

This “toil reduction” helps engineers focus on engineering solutions rather than firefighting.

Why the SRE Process Matters

✅ Improved System Reliability

SRE ensures systems stay up and available. Downtime costs businesses money and trust—SRE helps minimize both.

✅ Faster Product Releases

With a structured balance between reliability and speed (via error budgets), SRE enables faster deployment without sacrificing quality.

✅ Better Incident Response

SRE teams are prepared for outages. Their incident handling playbooks and tools allow them to restore services quickly.

✅ Enhanced Collaboration

SRE promotes DevOps culture by encouraging collaboration between developers and operations, resulting in more reliable software delivery.

✅ Customer Satisfaction

End-users experience fewer bugs, less downtime, and better performance, leading to increased trust and retention.

Who Should Implement SRE?

Tech Startups aiming for scale

Large Enterprises managing distributed systems

E-commerce Platforms, Fintech Apps, Cloud Service Providers, and others, where uptime and performance are critical

If your business relies on digital services, adopting the SRE process can be a game-changer.

Ready to start your SRE journey? Join the growing community of Site Reliability Engineers with NovelVista’s SRE Foundation Certification and gain the skills to power next-generation IT systems.

👉 SRE Certification

Final Thoughts

Site Reliability Engineering isn’t just a trend—it’s a proven approach to building and managing resilient systems. By uncovering the SRE process and understanding its components, organizations can deliver robust, scalable, and efficient digital services.

Whether you're an IT leader, engineer, or business stakeholder, integrating the SRE mindset into your operations is essential for long-term success in the digital age.