#DevOps Engineer Services

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Hire Certified DevOps engineers

Are you on the lookout for top-tier Certified DevOps engineers to supercharge your development pipeline? Look no further! At Xcoder Agency, we bring you a powerhouse of talent ready to revolutionize your operations. Our engineers are not just skilled they're certified professionals with a proven track record in implementing DevOps practices. Your projects will be in the hands of experts who excel in the latest industry standards. Trust Xcoder Agency for Certified DevOps Engineers who bring a blend of expertise, innovation, and security to your projects.

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Product Engineering in Software Engineering: Latest Trends

Explore how Product Engineering in Software Engineering drives innovation with AI, cloud, low-code, and modern development trends.

Building digital products today requires more than just good code. As a result, companies are shifting to smarter product development methods. As businesses strive to meet rising customer expectations, they often seek help from a software product engineering services company.

These companies combine technology, design, and strategy to bring innovation faster and more reliably.

Therefore, let’s explore how product engineering in software engineering is evolving and what trends are shaping its future.

Why Product Engineering in Software Engineering Drives Modern Products

The idea behind product engineering in software engineering is to build digital products that solve real problems quickly and efficiently. Rather than creating products in silos, teams now work together using shared goals, fast feedback, and constant iteration.

Continuous Discovery

First of all, product teams no longer wait months to understand customer needs. Instead, they perform weekly research sprints to validate every new idea. These discoveries reduce rework and help create user-focused solutions from day one. Furthermore, continuous discovery aligns the product vision with real-time market shifts.

Secure by Design

In the past, security was a final step in the product life cycle. Now, developers integrate security scans into their daily coding process. This proactive approach prevents threats and saves time on future fixes. Additionally, building security from the start improves trust and reduces compliance risks………….

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Visit Cloudastra Technology: Cloudastra DevOps as a Services to learn how tailored DevOps solutions can help your business scale faster and smarter.

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Product Engineering Services for Modern Software Solutions

Modern software solutions take a comprehensive approach to designing, developing, testing, and maintaining software products throughout their lifecycle. This covers everything from initial product ideation and strategy to post-launch support and ongoing improvements. A product engineering services company plays a vital role in this process, assisting businesses in developing robust, scalable, and user-friendly software that meets market demands and user needs. Innovation is now necessary and no longer optional.

That’s where product engineering services play a transformative role. By bridging the gap between idea and execution, these services enable organizations to launch, scale, and maintain robust software solutions in a competitive landscape. From startups aiming to disrupt markets to enterprises modernizing legacy systems, the demand for intelligent, scalable, and agile software continues to grow rapidly. Fortunately, with the right approach to product engineering, even complex ideas can be transformed into high-performing digital products.

Importance of Product Engineering for Modern Software Solutions

To begin with, product engineering services cover the entire lifecycle of a software product, from ideas and design to development, testing, deployment, and maintenance. This comprehensive approach ensures that products are not only functional and user-friendly but also scalable and ready for the future.

Moreover, these services are typically offered by specialized teams with diverse skills, allowing for agile practices, rapid prototyping, and quicker time-to-market. Whether it’s mobile apps, SaaS platforms, enterprise tools, or IoT systems, product engineering plays a vital role in building the digital foundation of modern businesses………….

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Future-Ready IT Hiring Solutions – Job24by7

Whether you're a developer, analyst, or IT recruiter, we streamline the hiring process with expertise, speed, and precision. Get matched with the right opportunities today.

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Unlock Innovation with Hoonartek's Digital Engineering Services

Explore Hoonartek's digital engineering services that drive innovation, efficiency, and transformation across industries. Our expertise in cloud solutions, DevOps, and data engineering ensures seamless digital engineering and integration for your business. To know more about digital engineering visit https://hoonartek.com/services/digital-engineering/

[covalesedigital]

DevOps, Cloud Technology, API Integration & User Experience

Integrated Engineering Services We provide comprehensive integrated engineering services designed to meet your project requirements. Our multidisciplinary approach, backed by expertise in various engineering fields, ensures that we offer end-to-end solutions that foster innovation and deliver tangible results. From concept design and prototyping to manufacturing and testing, our skilled engineers are committed to providing high-quality, cost-effective solutions tailored to your needs. Explore our portfolio to see how our integrated engineering services can bring your ideas to life and drive your project’s success.

Engagement Models

Managed Services

Enterprise App Development

Mobile App Development

API Development

Event Management Platform

Message-Oriented Systems

Cloud-Native Development

Production Support & Maintenance

Consulting

Design and Architecture

Feasibility Study & Application Assessment

Performance Tuning & Optimization

Java Version Migrations

Legacy System Modernization

Build and Deployments

Containerization & Orchestration

CSP Backing Services

CICD Implementations

DevOps Services

Cloud Migration on AWS, GCP & Azure

Service Offerings

Enterprise Applications/Product Development In today’s fast-paced technology landscape, our clients rely on our expertise to select the optimal Java architecture for developing scalable, robust applications and products. With deep knowledge of Java, we’ve successfully guided numerous customers through the complexities of this ever-evolving business environment.

Legacy Modernization and Migrations Our modernization strategy enhances agility, scalability, and flexibility. By using containerization, we package applications to run across various settings, improving efficiency, scalability, and portability. The image below highlights some of the use cases we’ve worked on to improve legacy modernization at Covalensedigital Solutions.

Cloud Technology Expertise With our cloud technology expertise, we assist businesses in transitioning to the cloud seamlessly, unlocking the full potential of modern infrastructure. From evaluating your current environment to planning and executing migration strategies, we deliver secure, scalable, and cost-effective cloud solutions. Whether migrating to AWS, Azure, Google Cloud, or other platforms, we provide guidance at every stage of the process.

User Experience Our modernization strategies offer greater agility, scalability, and flexibility. By packaging applications into containers, we enhance efficiency, scalability, and portability. This method improves legacy systems while meeting modern business needs, as demonstrated by the use cases at Covalensedigital Solutions.

API & Integration Services Managing multiple applications across diverse IT environments can lead to inefficiencies and confusion, reducing productivity. Achieving operational excellence requires business transformation powered by technology, specifically addressing challenges related to various integrations. Our Java enterprise system integration services help eliminate inefficiencies, streamline processes, and enhance overall productivity.

DevOps DevOps (Development Operations) is a methodology and cultural shift that emphasizes collaboration, communication, and integration between software developers and IT operations. It focuses on automating processes in software delivery and infrastructure management, leading to faster and more reliable releases. DevOps practices involve continuous automation in Build, Delivery, and Deployment, along with 24/7 monitoring, and work in sync with Agile methodologies to ensure optimal results.

Explore our DevOps services with Cloud Technology and API solutions. Enhance User Experience with expert DevOps and engineering services

To know more visit: Covalensedigital

Visit: Covalensedigital LinkedIn

[reformedtech]

Finding the Best Software Company in Bangladesh: A Complete Guide

Bangladesh has become a growing hub for software innovation, offering a wide range of services through leading software development companies in Bangladesh. Whether you’re looking for the best software company in Bangladesh or skilled software developers for your project, this guide will help you make an informed decision.

Why Choose a Software Company in Bangladesh?

With a strong talent pool of application developers, software designers, and software programmers, Bangladesh provides innovative and cost-effective solutions. From software app development to large-scale system development, companies in Bangladesh have the expertise to cater to diverse business needs.

How to Identify the Best Software Company in Bangladesh

Proven Expertise: A top software company in BD will showcase an impressive portfolio of successful software development projects, ranging from applications software development to advanced software product development.

Experienced Team: Look for skilled professionals like software application developers, software development managers, and creative software designers who can execute your project with precision.

Local Accessibility: If proximity matters, search for software development companies near me or a software developer near me to ensure seamless communication and collaboration.

Advantages of Working with a Top Software Company in BD

Tailored Services: Whether you need local software development, applications development, or custom software app development, companies in Bangladesh provide personalized solutions.

Cost Efficiency: The best software company in Bangladesh offers premium services at competitive rates.

Timely Delivery: Experienced software development managers ensure projects are completed on schedule without compromising quality.

Final Thoughts

Selecting the right software development company in Bangladesh is essential for achieving your business goals. Whether you need assistance with software app development, system development, or other software development projects, ensure the company has the skills, experience, and reputation to deliver.

Have more questions about finding the best software company in Bangladesh? Share your thoughts in the comments, and let’s discuss!

[spiralmantra1]

Data Engineering Guide to Build Strong Azure Data Pipeline

This data engineering guide is useful for understanding the concept of building a strong data pipeline in Azure. Information nowadays is considered the main indicator in decision-making, business practice, and analysis, still, the main issue is having this data collected, processed, and maintained effectively and properly. Azure Data Engineering, Microsoft’s cloud services, offers solutions that help businesses design massive amounts of information transport pipelines in a structured, secure way. In this guide, we will shed light on how building an effective information pipeline can be achieved using Azure Data Engineering services even if it was your first time in this area.

Explain the concept of a data pipeline

A data pipeline refers to an automated system. It transmits unstructured information from a source to a designated endpoint where it can be eventually stored and analyzed. Data is collected from different sources, such as applications, files, archives, databases, and services, and may be converted into a generic format, processed, and then transferred to the endpoint. Pipelines facilitate the smooth flow of information and the automation of such a process helps to keep the system under control by avoiding any human intervention and lets it process information in real-time or in batches at established intervals. Finally, the pipeline can handle an extremely high volume of data while tracking workflow actions comprehensively and reliably. This is essential for data-driven business processes that rely on huge amounts of information.

Why Use Azure Data Engineering Services for Building Data Pipelines?

There are many services and tools provided by Azure to strengthen the pipelines. Azure DevOps consulting services are cloud-based services which means ‘anytime anywhere’ and scale. Handling a small one-line task (DevOps) to a complex task (workflow) can easily be implemented without thinking about the hardware resources. Another benefit of having services on the cloud is the scalability for the future. It also provides security for all the information. Now, let’s break down the steps involved in creating a strong pipeline in Azure.

Steps to Building a Pipeline in Azure

Step 1: Understand Your Information Requirements

The first step towards building your pipeline is to figure out what your needs are. What are the origins of the information that needs to be liquidated? Does it come from a database, an API, files, or a different system? Second, what will be done to the information as soon as it is extracted? Will it need to be cleaned? Transformed or aggregated? Finally, what will be the destination of the liquid information? Once, you identify the needs, you are good to implement the second step.

Step 2: Choose the Right Azure Services

Azure offers many services that you can use to compose pipelines. The most important are:

Azure Data Factory (ADF): This service allows you to construct and monitor pipelines. It orchestrates operations both on-premises and in the cloud and runs workflows on demand.

Azure Blob Storage: For business data primarily collected in raw form from many sources, for instance, Azure Blob Storage provides storage of unstructured data.

Azure SQL Database: Eventually, when the information is sufficiently processed, it could be written to a relational database, such as Azure SQL Database, for the ultimate in structured storage and ease of querying.

Azure Synapse Analytics: This service is suited to big-data analytics.

Azure Logic Apps: It allows the automation of workflows, integrating various services and triggers.

Each of these services offers different functionalities depending on your pipeline requirements.

Step 3: Setting Up Azure Data Factory

Having picked the services, the next activity is to set up an Azure Data Factory (ADF). ADF serves as the central management engine to control your pipeline and directs the flow of information from source to destination.

Create an ADF instance: In the Azure portal, the first step is to create an Azure Data Factory instance. You may use any name of your choice.

Set up linked services: Connections to sources such as databases, APIs, and destinations such as storage services to interact with them through ADF.

Data sets: All about what’s coming into or going out – the data. They���re about what you dictate the shape/type/nature of the information is at

Pipeline acts: A pipeline is a type of activity – things that do something. Pipelines are composed of acts that define how information flows through the system. You can add multiple steps with copy, transform, and validate types of operations on the incoming information.

Step 4: Data Ingestion

Collecting the information you need is called ingestion. In Azure Data Factory, you can ingest information collected from different sources, from databases to flat files, to APIs, and more. After you’ve ingested the information, it’s important to validate that the information still holds up. You can do this by using triggers and monitors to automate your ingestion process. For near real-time ingestion, options include Azure Event Hubs and Azure Stream Analytics, which are best employed in a continuous flow.

Step 5: Transformation and Processing

After it’s consumed, the data might need to be cleansed or transformed before processing. In Azure, this can be done through Mapping Data Flows built into ADF, or through the more advanced capabilities of Azure Databricks. For instance, if you have information that has to be cleaned (to weed out duplicates, say, or align different datasets that belong together), you’ll design transformation tasks to be part of the pipeline. Finally, the processed information will be ready for an analysis or reporting task, so it can have the maximum possible impact.

Step 6: Loading the Information

The final step is to load the processed data into a storage system that you can query and retrieve data from later. For structured data, common destinations are Azure SQL Database or Azure Synapse Analytics. If you’ll be storing files or unstructured information, the location of choice is Azure Blob Storage or Azure Data Lake. It’s possible to set up schedules within ADF to automate the pipeline, ingesting new data and storing it regularly without requiring human input.

Step 7: Monitoring and Maintenance

Once your pipeline is built and processing data, the scaled engineering decisions are all in the past, and all you have to do is make sure everything is working. You can use Azure Monitor and the Azure Data Factory (ADF) monitoring dashboard to track the channeled information – which routes it’s taking, in what order, and when it failed. Of course, you’ll tweak the flow as data changes, queries come in, and all sorts of black swans rear their ugly heads. You also need regular maintenance to keep things humming along nicely. As your corpus grows, you will need to tweak things here and there to handle larger information loads.

Conclusion

Designing an Azure pipeline can be daunting but, if you follow these steps, you will have a system capable of efficiently processing large amounts of information. Knowing your domain, using the right Azure data engineering services, and monitoring the system regularly will help build a strong and reliable pipeline.

Spiral Mantra’s Data Engineering Services

Spiral Mantra specializes in building production-grade pipelines and managing complex workflows. Our work includes collecting, processing, and storing vast amounts of information with cloud services such as Azure to create purpose-built pipelines that meet your business needs. If you want to build pipelines or workflows, whether it is real-time processing or a batch workflow, Spiral Mantra delivers reliable and scalable services to meet your information needs.

[nitor-infotech]

AI in DevSecOps: Revolutionizing Security Testing and Code Analysis

DevSecOps, short for Development, Security, and Operations, is an approach that integrates security practices within the DevOps workflow. You can think of it as an extra step necessary for integrating security. Before, software development focused on speed and efficiency, often delaying security to the final stages.  

However, the rise in cyber threats has made it essential to integrate security into every phase of the software lifecycle. This evolution gave rise to DevSecOps, ensuring that security is not an afterthought but a shared responsibility across teams. 

From DevOps to DevSecOps: The Main Goal 

The shift from DevOps to DevSecOps emphasizes applying security into continuous integration and delivery (CI/CD) pipelines. The main goal of DevSecOps is to build secure applications by automating security checks. This approach helps in fostering a culture where developers, operations teams, and security experts collaborate seamlessly.  

How is AI Reshaping the Security Testing & Code Analysis Industry? 

Artificial intelligence and generative AI are transforming the landscape of security testing and code analysis by enhancing precision, speed, and scalability. Before AI took over, manual code reviews and testing were time-consuming and prone to errors. AI-driven solutions, however, automate these processes, enabling real-time vulnerability detection and smarter decision-making. 

Let’s look at how AI does that in detail:  

AI models analyze code repositories to identify known and unknown vulnerabilities with higher accuracy. 

Machine learning algorithms predict potential attack vectors and their impact on applications. 

AI tools simulate attacks to assess application resilience, saving time and effort compared to manual testing. 

AI ensures code adheres to security and performance standards by analyzing patterns and dependencies. 

As you can imagine, there have been several benefits of this:  

Reducing False Positives: AI algorithms improve accuracy in identifying real threats. 

Accelerating Scans: Traditional methods could take hours, but AI-powered tools perform security scans in minutes. 

Self-Learning Capabilities: AI systems evolve based on new data, adapting to emerging threats. 

Now that we know about the benefits AI has, let’s look at some challenges AI could pose in security testing & code analysis: 

AI systems require large datasets for training, which can expose sensitive information if not properly secured. This could cause disastrous data leaks.  

AI models trained on incomplete or biased data may lead to blind spots and errors. 

While AI automates many processes, over-reliance can result in missed threats that require human intuition to detect. 

Cybercriminals are leveraging AI to create advanced malware that can bypass traditional security measures, posing a new level of risk. 

Now that we know the current scenario, let’s look at how AI in DevSecOps will look like in the future:  

The Future of AI in DevSecOps 

AI’s role in DevSecOps will expand with emerging trends as:  

Advanced algorithms will proactively search for threats across networks, to prevent attacks. 

Future systems will use AI to detect vulnerabilities and automatically patch them without human intervention. 

AI will monitor user and system behavior to identify anomalies, enhancing the detection of unusual activities. 

Integrated AI platforms will facilitate seamless communication between development, operations, and security teams for faster decision-making. 

AI is revolutionizing DevSecOps by making security testing and code analysis smarter, faster, and more effective. While challenges like data leaks and algorithm bias exist, its potential is much more than the risks it poses.  

To learn how our AI-driven solutions can elevate your DevSecOps practices, contact us at Nitor Infotech. 

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Open up possibilities for innovative ideas by choosing the appropriate cloud computing solutions. Call us today and let your right cloud solutions shine. To learn more you can visit our website... Read More...

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Outsourcing IT services is a cost-effective solution for businesses looking to manage expenses without compromising quality. Learn how managed IT providers deliver tailored solutions, helping businesses optimize budgets while maintaining robust, secure IT environments.

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Visit Cloudastra Technology: Cloudastra DevOps as a Services to learn how tailored DevOps solutions can help your business scale faster and smarter.

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How To Become a Successful Freelance Developer & Other Tech

In this article, we are going through a detailed roadmap for tech professionals looking to transition into freelancing. We cover the essential steps to launch and maintain a successful freelance career in the technology sector. From identifying your niche and building a compelling portfolio to developing pricing strategies, acquiring clients, and managing your freelance business, this guide…

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This presentation explores how Packer DevOps, an open-source tool from HashiCorp, revolutionizes DevOps automation by creating consistent machine images across multiple platforms. Learn how Packer integrates with Terraform and Ansible, supports data engineering services, and boosts deployment speed, efficiency, and reliability, ensuring seamless infrastructure management across cloud environments.