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Building a Modern Web Application: A Comprehensive Guide
Unlock the secrets of building a modern web app with React.js, Java, and MongoDB! 🚀 Dive into component-based design, caching strategies, and deployment excellence. #WebDevelopment #ReactJS #SpringBoot #MongoDB #TechBlog
Building a modern web application requires a strategic approach to frontend and backend development. By combining React.js for the frontend, Java with Spring Boot for the backend, and MongoDB as the database, we can create a scalable and efficient architecture. This guide will walk you through each step of the development process, from frontend design to backend implementation and database…
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#best practices#CI/CD#component#java#modernarchitecture#moderwebapplication#MongoDB#ReactJS#Security#software development#webapp#webdevelopment
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Amazon Web Service & Adobe Experience Manager:- A Journey together (Part-3)
In the first & second part we discussed how one day digital market leader meet with the a friend AWS in the Cloud and become very popular pair. Also what gift they bring for the digital marketing persons. Also journey into digital market leader house basement and structure, mainly repository CRX and the way its MK organized.
Now in this we will see how AEM paired with AWS at give a lot of gifts to the digital marketing persons.
AEM deliver great on AWS
There is two ways to pair AEM with AWS
Self/infrastructure Partner managed
AEM managed Service
Self/infrastructure Partner managed :-
As it suggests here two possibility of pairing, first one is Self managed means all the responsibility of deployment, maintenance of infrastructure is owned by organization itself.
its not about only AEM , maintenance patching upgrade etc but AWS also all the maintenance and upgrade etc of AWS also owned by organization.
This model is having a lot of extra effort for the organization owning this.So organizations who don't want to take extra responsibility (or resource who know these maintenance knowledge) and don't want to manage their own deployment of AEM on AWS.
Then they will go for the second suggested way with APN AWS Partner Network. There are several APN as partner to take all the extra responsibility maintenance and upgrade of AWS with advantage customization is optionally available with organization. If organization want some custom or specific enhancement into AEM infrastructure then they can own otherwise partner happily take this responsibility as well.
APNs are specialize in such pairing by providing managed hosting deployments of AEM on AWS.
APNs take care for
1) Deploying
2)Securing
3)maintaining
of AEM . Some APN provide design services and custom
development for AEM.
AWS Partner Finder is a tool available to find and compare.
AEM Manged Services By ADOBE :-
After above now we will see how the second option can pair AEM and AWS. Now the father of AEM come into picture for this pairing and taking all the responsibility how he can pair AEM with AWS to provide plenty of gifts to digital marketing persons. Adobe enables customers to launch faster on AWS cloud and giving best practices and support.
Now focus on innovation with reduced burden of infrastructure .
Cloud Manager, from AEM Managed Services having a self-service portal that enables organizations to self-manage AEM Manager in the cloud.
Cloud Manager having some great features like continuous integration and continuous delivery (CI/CD) pipeline with performance or security. Cloud Manager is exclusive for for Adobe
Managed Service customers only.
Now we can see the holistic picture of this pairing how it look like with various gifts.
** this is very generic architecture taken from the web , it can be customized according to need.
Now some H/W part of the above aka Architecture Sizing
CPU, and I/O performance is key consideration for any AEM model but it depends on usage.Amazon EC2 General Purpose
M5 family of instances are good candidates for these environments.
Amazon EC2 M5 are the next generation EC2 General
Purpose compute instances. M5 instances offer a balance of compute, memory, and networking resources for a broad range of workloads. M5d, M5dn & M5ad instances have local storage, offering up to 3.6TB of NVMe-based SSDs.
Continue in next part....
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A Kubernetes CI/CD (Continuous Integration/Continuous Delivery) pipeline is a powerful tool for efficiently deploying and managing applications in Kubernetes clusters.
It is a workflow process that automates the building, testing, and deployment of containerized applications in Kubernetes environments.
Efficiently Deploy and Manage Applications with Kubernetes CI/CD Pipeline - A Comprehensive Overview.
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What is the purpose of using both manual and automation testing simultaneously?
Coverage: Manual testing explores unexpected issues, while automation ensures repetitive tests are done fast.
Efficiency: Automation speeds up repetitive tasks, letting testers focus on tricky scenarios.
Cost: Initial automation setup costs, but saves time and money in the long run.
Early Bugs: Automation in CI/CD pipelines catches bugs early; manual testing handles complex scenarios.
User Experience: Manual testing ensures good user experience, like usability and accessibility.
Adaptability: Manual testing is flexible for agile changes, while automation maintains core functionalities.
By combining manual and automation testing, teams can leverage the strengths of both approaches to deliver high-quality software efficiently and effectively.
#magistersign#onlinetraining#support#usa#SoftwareTesting#ManualTesting#AutomationTesting#QualityAssurance#CI/CD#UserExperience#AgileDevelopment
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#Agile Development#automation testing#CI/CD#DevOps#QAOps#Quality assurance#softwaredevelopment#softwarequality
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Discover the path to achieving Azure DevOps certification (AZ-400). Our comprehensive guide walks you through the world of DevOps on Microsoft Azure. Explore hands-on tutorials, expert advice, and practical strategies for passing the AZ-400 exam. Begin your journey towards becoming a certified Azure DevOps professional today!
#AzureDevOps#AZ400#DevOpsCertification#CloudComputing#MicrosoftAzure#SoftwareDevelopment#ContinuousIntegration#ContinuousDelivery#CI/CD#DevOpsTools
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What security measures should be implemented in a cloud infrastructure to protect sensitive data?
Several security measures should be implemented to protect sensitive data in a cloud infrastructure. These measures help ensure data confidentiality, integrity, and availability, safeguarding against unauthorized access, data breaches, and other security threats. Here are some key security measures for cloud infrastructure services:
1. **Encryption:** Utilize encryption techniques such as TLS (Transport Layer Security) for data in transit and AES (Advanced Encryption Standard) for data at rest. This ensures that data remains secure even if intercepted or accessed without authorization.
2. **Access Control:** Implement strict access control policies and mechanisms, such as Role-Based Access Control (RBAC) or attribute-based access control (ABAC), to manage and enforce permissions for users, applications, and resources based on their roles and responsibilities.
3. **Multi-Factor Authentication (MFA):** Require users to authenticate using multiple factors, such as passwords, biometrics, or security tokens, to add an extra layer of security and prevent unauthorized access to cloud services and data.
4. **Network Security:** Deploy firewalls, intrusion detection and prevention systems (IDPS), and virtual private networks (VPNs) to secure the network infrastructure, monitor traffic, and detect and block malicious activities and unauthorized access attempts.
5. **Data Loss Prevention (DLP):** Implement DLP solutions to monitor, detect, and prevent the unauthorized transfer, sharing, or leakage of sensitive data within the cloud environment. This includes identifying and blocking attempts to upload or download sensitive data to unauthorized locations.
6. **Regular Audits and Monitoring:** Conduct regular security audits, vulnerability assessments, and penetration testing to identify and remediate security gaps and vulnerabilities in the cloud infrastructure. Use security monitoring tools to detect and respond to security incidents in real time.
7. **Secure APIs:** If using APIs (Application Programming Interfaces) for cloud services integration, ensure that APIs are secure by implementing authentication, authorization, and encryption mechanisms to protect data exchanged between applications and cloud services.
8. **Data Backup and Recovery:** Implement robust data backup and recovery mechanisms to ensure data availability and integrity in case of data loss, corruption, or ransomware attacks. Backup data regularly and store backups securely in geographically dispersed locations.
9. **Compliance and Governance:** Adhere to industry regulations, standards, and compliance requirements relevant to your organization and the data stored or processed in the cloud. Implement governance policies, procedures, and controls to ensure compliance and mitigate risks.
10. **Employee Training and Awareness:** Conduct regular security training and awareness programs for employees to educate them about security best practices, phishing attacks, social engineering tactics, and the importance of safeguarding sensitive data in the cloud.
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CI/CD for AWS
Releasing features first to the market without sacrificing quality differentiates a company from its competitors. Mirketa will help you define CI pipelines to provide quick feedback to your developers to write better code by implementing industry
leading open-source CI tools.
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In terms of course curriculum, APTRON Solutions covers a wide range of topics essential for Automation Testing Training Institute in Noida professionals, including test automation frameworks, continuous integration/continuous deployment (CI/CD) pipelines, API testing, performance testing, and more. This comprehensive approach ensures that graduates are well-rounded and ready to tackle diverse testing challenges in the industry.
#APTRONSolutions#AutomationTesting#TrainingInstitute#Noida#SoftwareTesting#Selenium#Appium#QTP#UFT#TestAutomation#CI/CD#APItesting#PerformanceTesting#ITTraining
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Kubernetes containers are compact packages containing all the essentials for running an application, including code, runtime, libraries, and settings. Unlike traditional virtual machines, they share the host system's kernel, making them lighter and faster. Kubernetes, an open-source platform, orchestrates these containers, automating deployment, scaling, and management across servers. This technology enables effortless scaling, robust monitoring, and portability across various environments, fostering innovations like scalable microservices, hybrid cloud deployments, and streamlined CI/CD pipelines. Ultimately, Kubernetes containers revolutionize computing infrastructure by offering flexibility, scalability, and efficiency, making them essential for businesses seeking to thrive in the digital age.
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Jenkins Docker Compose Install and Configuration
Jenkins Docker Compose Install and Configuration #devops #jenkins #cicd #continuousintegration #continuousdeployment #dockercompose #docker #kubernetes #traefik #ingress #jenkinsagent #jenkinsssh #homelab #homeserver #virtualizationhowto #virtualization
I have been experimenting with many different continuous integration and continuous deployment tools in the home lab. Recently, I have been using GitLab for most of my workflows. However, I have played around with Jenkins in the past and want to get an instance back in the lab environment for comparison with GitLab. In this post, we will look at content around how to install and configure a…
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Codeless Testing Tools For 2024 - Technology Org
New Post has been published on https://thedigitalinsider.com/codeless-testing-tools-for-2024-technology-org/
Codeless Testing Tools For 2024 - Technology Org
Codeless automation testing tools have emerged as a significant solution. These tools offer a user-friendly interface for efficient test creation without coding. They enable non-technical users to seamlessly automate testing processes. In this blog, we will explore the top codeless testing tools that will shape automation testing in 2024.
Software developer’s workplace – illustrative photo. Image credit: Farzad via Unsplash, free license
Codeless Testing Tool Overview
Codeless testing involves producing and executing tests without the coders having to write lengthy codes. Instead, designers use drag-and-drop functionalities, graphical interfaces, and pre-built components to design and execute tests.
This technique applies a user-oriented approach aimed at testers with no programming or low programming skills to achieve test creation, management, and execution tasks easily. In codeless automation, speed is enhanced, productivity is increased, and teams can take products to market faster.
Popular Codeless Testing Tools in 2024
Let us see some of the emerging codeless testing tools in 2024
Katalon Studio
Katalon Studio stands out for its adaptability in automation testing on Desktop, Mobile, Web, and APIs. It has a simple user interface that uses drag-and-drop commands and record-and-playback functionality.
Katalon simplifies automation testing while providing features like built-in test-case libraries, object repositories, and extensive reporting capabilities. It integrates with popular Continuous Integration tools and supports native plugins to enhance workflow efficiency. Katalon’s ability to detect object modifications and adapt tests ensures test stability. It also supports various integrations such as Issue Management and Test Management, further improving the automation testing process.
TestCraft
TestCraft focuses on end-to-end (E2E) automation testing for continuous and regression testing. TestCraft allows QA teams to accelerate their automation testing efforts efficiently and precisely.
TestCraft has agility in generating test scenarios even before the application is fully developed to start testing early in the development lifecycle. The tool’s support for multiple data sets and parallel implementation further enhances testing flexibility and coverage.
TestCraft’s unique approach to automation testing includes pre-coded test scripts with customizable inputs to suit specific testing requirements. TestCraft allows testers to reuse flows and elements across different test scenarios. It also offers smart analysis and reporting capabilities for test execution results and facilitating informed decision-making.
LEAPWORK
LEAPWORK is a cloud-based automation testing tool known for its versatility in testing various types of applications. It allows agile project teams to implement automated QA testing procedures to establish faster release cycles and improve product quality.
It offers various features aimed at enhancing QA teams’ productivity and efficiency. It can reuse automated flows across different test cases to optimize cloud testing maintenance efforts and ensure consistency in automation testing practices. It supports cross-browser testing, parallel runs, and application functionality validation across different environments.
CloudQA
CloudQA is a cloud-based automated testing platform that improves test management and execution across multiple browsers simultaneously. It offers an integrated report tool for rapidly generating and scheduling regression test suites.
This codeless automation testing tool allows users with the same level of functionality as Selenium without requiring advanced programming expertise. Recorded tests are organized into manageable modules and presented in easily understandable formats.
CloudQA is repurposed for load testing, regression testing, and synthetic monitoring. Key features such as smart Record & Playback tests with screenshots after each step, support for data-driven tests, and integration with third-party tools like Slack, Asana, GitHub, and JIRA enhance the testing experience to detect and manage bugs effectively.
Ranorex Studio
The main feature of the Ranorex Studio is that it can record the scriptless automation of mobile, web, and desktop applications using the powerful object recognition mechanism. It provides a user-friendly interface and complete functions to improve the automated testing process.
It supports standard programming languages such as C# and VB.NET to create automation scripts using familiar syntaxes. Testers can easily automate regression testing by utilizing drag-and-drop UI objects, capture-and-replay functionality, and code modules.
Ranorex Studio can integrate with Selenium WebDriver to enable cross-browser testing on a Selenium Grid. The tool offers advanced features such as RanoreXPath technology for recognizing UI components, a spy engine for tracking UI descriptions, and image comparison capabilities for visual validation.
Ranorex Studio further enhances collaboration and productivity by integrating various DevOps and project management tools. This integration ecosystem enables teams to build a complete automated testing toolchain for test execution and result management.
TestProject
TestProject is a free codeless testing tool for QA teams to improve the creation and execution of automated tests. TestProject simplifies building and maintaining automated test cases, eliminating the need for programming expertise.
TestProject can design and manage test cases using the tool’s user-friendly interface. This flexibility extends to the types of applications tested, as TestProject supports testing for web applications, mobile apps, and APIs to meet diverse testing needs.
Through its test reporting feature, testers can access the required information to locate and solve any problems discovered during the testing quickly. It permits team members to work collaboratively by making the transfer of test results available and establishing transparency and operating efficiency.
TestProject enables QA teams to automate testing and detect issues early in the development cycle to release cycles faster and improve product quality.
Testim
Testim can facilitate quick and straightforward creation and execution of automated tests by QA teams. It has a user-friendly drag-and-drop interface and AI-powered testing capabilities to build and maintain automated test cases without the need for programming knowledge.
Testim AI-powered testing capabilities significantly improve the test process by automatically creating test cases and identifying flaws. This automation saves time and enhances the efficiency and effectiveness of the testing process to deliver high-quality software.
Testim supports testing for software components like APIs, web applications, and mobile applications. This ensures comprehensive testing coverage to identify and address issues across different software layers. Testim’s automated testing approach minimizes the risk of human errors and ensures that software products undergo thorough testing.
Selenium IDE
Selenium IDE has the power of Selenium for automate web applications without coding. Selenium IDE involves straightforwardness in the creation and execution of automated tests, thus making it the best option for testers regardless of their expertise levels.
Its ability to run specific tests or entire test suites allows testers to manage and execute their testing scenarios efficiently. It also provides debugging capabilities, including setting breakpoints and pausing on exceptions directly from the IDE.
Selenium IDE is cross-browser testing to ensure its compatibility with the Selenium IDE runner, which enables testing across various browsers and operating systems. They offer a set of commands for creating loops, inserting waits, and executing asserts.
Its support for control flow structures, such as if-else statements, enables testers to implement conditional testing directly from the IDE to simplify test logic and enhance test coverage. The tool also supports test reuse through the run command to incorporate specific test cases into multiple test suites.
Selenium IDE further improves the automation testing process by storing test scripts as JSON files, enabling easy comparison, modification, and examination of tests. This simplifies test maintenance and collaboration among team members to ensure efficient test management and execution.
ACCELQ
ACCELQ is an AI-powered codeless automated testing tool that offers a solution for automating desktops, web applications, mainframes, and other applications with minimal effort and time.
ACCELQ distinguishes itself with its self-healing capabilities, which make test automation efficient. Its user-friendly interface enables the development of automated tests that integrate with existing DevOps and quality toolchains for enhanced collaboration and workflow efficiency.
ACCELQ’s features include scalability and enterprise-grade security, making it a safe and reliable choice for organizations of all sizes. It offers automation of both User Interface and API testing, ensuring comprehensive test coverage across different application layers.
It can create app blueprints to facilitate visual test design, while its Embedded Frameworks enable speedy development and minimal maintenance overhead. Features like Projecting and Path Analysis generate test scenarios, maximizing test coverage and effectiveness. It is also continuously integration-ready to incorporate automated testing into its development pipelines.
Mabl
Mabl is explicitly designed for CI/CD environments. It integrates automated end-to-end (E2E) tests into the Software Development Life Cycle (SDLC). It utilizes extensive web browser automation coverage, including Selenium WebDriver, IDE, and other automation testing tools.
It can enable parallel testing across all browsers, eliminating barriers related to visual design, user experience tests, and performance tests. By managing everything in the cloud, this significantly reduces the physical effort, hosted infrastructure, and test case maintenance associated with automation testing.
Mabl’s advanced User Interface and design approach make it intuitive and easy to use. The Mabl Trainer browser plugins allow testers to set up functional testing against applications in minutes.
The tool also offers actionable insights that can be exported to various platforms, enabling teams to make informed decisions and prioritize issues effectively. Mabl’s auto-healing feature ensures that testing remains stable and consistent, further enhancing test results’ reliability.
Sikuli
Sikuli utilizes image recognition techniques to automate Graphical User Interface (GUI) tests, seamlessly identifying and interacting with GUI components. It proves beneficial when working, extending its capabilities to automate Java applets and Flash objects, while IDE scripts further enhance its functionalities.
Sikuli requires a visible app GUI during runtime. This means it cannot execute and maintain multiple scripts concurrently when the GUI undergoes frequent changes.
Key features of Sikuli support multiple platforms such as Linux, Mac, and Windows, making it highly versatile and accessible. The tool allows testers to record images at the pixel level for precise UI verification.
Sikuli enables automation testing on various devices and emulators, facilitating comprehensive testing across different environments. It integrates with Selenium to automate desktop applications, enhancing the effectiveness of test automation efforts.
Codeless testing tools offer QA teams the opportunity to enhance the accuracy and reliability of their testing procedures. Automated tests, which are less susceptible to human error than manual tests, contribute to ensuring thorough testing and high-quality software products.
LambdaTest, an AI-powered test execution and orchestration platform, presents an extensive online device farm comprising over 3000 real devices and operating systems, facilitating scalable automation testing. Moreover, it seamlessly integrates with leading codeless testing tools like Katalon Studio, Ranorex, and QMetry, streamlining the testing process.
Conclusion
In conclusion, with codeless testing tools in 2024, QA teams can optimize their testing processes and expedite time to market without compromising quality. From AI-powered platforms to image recognition tools, each offering brings unique advantages to achieve resilient test automation. Integrating automation testing tools into CI/CD pipelines ensures continuous feedback loops and facilitates agile development practices. As we adopt these advancements, automation testing is essential in driving reliable, scalable, high-quality software solutions.
#2024#agile#Agile Development#ai#AI-powered#amp#Analysis#API#APIs#app#applications#approach#apps#Asana#automation#Blog#browser#bugs#Building#Capture#CI/CD#Cloud#cloudqa#code#coding#Collaboration#command#comparison#comprehensive#continuous
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"Choosing the Right Automation Testing Tool: A Guide for Testers"
There isn't a one-size-fits-all answer to this question, as the choice of automation testing tool depends on various factors such as project requirements, technology stack, and team expertise. However, some widely used automation testing tools in the industry include:
Selenium WebDriver: Selenium is one of the most popular automation testing frameworks for web applications. It supports multiple programming languages such as Java, Python, and C#, and allows testers to write scripts for browser automation.
Appium: Appium is a popular open-source automation tool for testing mobile applications on both Android and iOS platforms. It supports multiple programming languages and allows for cross-platform testing.
Robot Framework: Robot Framework is a generic open-source automation framework for acceptance testing, acceptance test-driven development (ATDD), and robotic process automation (RPA). It is highly extensible and supports keyword-driven testing.
Cypress: Cypress is a modern JavaScript-based end-to-end testing framework specifically designed for web applications. It provides fast, reliable, and easy-to-use testing capabilities with a rich set of features.
Jenkins: Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD) pipelines. While not a testing tool itself, Jenkins can be integrated with various testing frameworks to automate the testing process as part of the CI/CD pipeline.
#magistersign#usa#cannada#AutomationTesting#SoftwareTesting#TestAutomation#TestingTools#QA#QualityAssurance#Selenium#Appium#RobotFramework#Cypress#Jenkins#CI/CD#DevOps
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Driving Innovation: A Case Study on DevOps Implementation in BFSI Domain
Banking, Financial Services, and Insurance (BFSI), technology plays a pivotal role in driving innovation, efficiency, and customer satisfaction. However, for one BFSI company, the journey toward digital excellence was fraught with challenges in its software development and maintenance processes. With a diverse portfolio of applications and a significant portion outsourced to external vendors, the company grappled with inefficiencies that threatened its operational agility and competitiveness. Identified within this portfolio were 15 core applications deemed critical to the company’s operations, highlighting the urgency for transformative action.
Aspirations for the Future:
Looking ahead, the company envisioned a future state characterized by the establishment of a matured DevSecOps environment. This encompassed several key objectives:
Near-zero Touch Pipeline: Automating product development processes for infrastructure provisioning, application builds, deployments, and configuration changes.
Matured Source-code Management: Implementing robust source-code management processes, complete with review gates, to uphold quality standards.
Defined and Repeatable Release Process: Instituting a standardized release process fortified with quality and security gates to minimize deployment failures and bug leakage.
Modernization: Embracing the latest technological advancements to drive innovation and efficiency.
Common Processes Among Vendors: Establishing standardized processes to enhance understanding and control over the software development lifecycle (SDLC) across different vendors.
Challenges Along the Way:
The path to realizing this vision was beset with challenges, including:
Lack of Source Code Management
Absence of Documentation
Lack of Common Processes
Missing CI/CD and Automated Testing
No Branching and Merging Strategy
Inconsistent Sprint Execution
These challenges collectively hindered the company’s ability to achieve optimal software development, maintenance, and deployment processes. They underscored the critical need for foundational practices such as source code management, documentation, and standardized processes to be addressed comprehensively.
Proposed Solutions:
To overcome these obstacles and pave the way for transformation, the company proposed a phased implementation approach:
Stage 1: Implement Basic DevOps: Commencing with the implementation of fundamental DevOps practices, including source code management and CI/CD processes, for a select group of applications.
Stage 2: Modernization: Progressing towards a more advanced stage involving microservices architecture, test automation, security enhancements, and comprehensive monitoring.
To Expand Your Awareness: https://devopsenabler.com/contact-us
Injecting Security into the SDLC:
Recognizing the paramount importance of security, dedicated measures were introduced to fortify the software development lifecycle. These encompassed:
Security by Design
Secure Coding Practices
Static and Dynamic Application Security Testing (SAST/DAST)
Software Component Analysis
Security Operations
Realizing the Outcomes:
The proposed solution yielded promising outcomes aligned closely with the company’s future aspirations. Leveraging Microsoft Azure’s DevOps capabilities, the company witnessed:
Establishment of common processes and enhanced visibility across different vendors.
Implementation of Azure DevOps for organized version control, sprint planning, and streamlined workflows.
Automation of builds, deployments, and infrastructure provisioning through Azure Pipelines and Automation.
Improved code quality, security, and release management processes.
Transition to microservices architecture and comprehensive monitoring using Azure services.
The BFSI company embarked on a transformative journey towards establishing a matured DevSecOps environment. This journey, marked by challenges and triumphs, underscores the critical importance of innovation and adaptability in today’s rapidly evolving technological landscape. As the company continues to evolve and innovate, the adoption of DevSecOps principles will serve as a cornerstone in driving efficiency, security, and ultimately, the delivery of superior customer experiences in the dynamic realm of BFSI.
Contact Information:
Phone: 080-28473200 / +91 8880 38 18 58
Email: [email protected]
Address: DevOps Enabler & Co, 2nd Floor, F86 Building, ITI Limited, Doorvaninagar, Bangalore 560016.
#BFSI#DevSecOps#software development#maintenance#technology stack#source code management#CI/CD#automated testing#DevOps#microservices#security#Azure DevOps#infrastructure as code#ARM templates#code quality#release management#Kubernetes#testing automation#monitoring#security incident response#project management#agile methodology#software engineering
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MLOps Engineer Better Roles And Killer Responsibilities
Design and Implement Cloud Solutions:Â MLOps engineers are responsible for designing and implementing cloud solutions, building MLOps on cloud platforms like AWS, Azure, or GCP35.
CI/CD Pipeline Orchestration:Â They build CI/CD pipelines orchestration using tools like GitLab CI, GitHub Actions, Circle CI, Airflow, or similar tools to streamline the deployment process of machine learning models35.
Data Science Model Review:Â MLOps engineers review data science models, run code refactoring and optimization, handle containerization, deployment, versioning, and monitor the quality of data science models to ensure optimal performance3.
Collaboration with Data Scientists:Â They work closely with data scientists, data engineers, and architects to communicate effectively, document processes, and ensure seamless collaboration in deploying and maintaining machine learning models35.
Programming and Tool Proficiency:Â MLOps engineers need to be proficient in programming languages like Python, Go, Ruby or Bash, have a good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, and experience with Docker and Kubernetes
https://aitech.studio/ai-career-options/mlops-engineer-roles/
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Some key reasons why DevOps is crucial for large organizations
DevOps, which stands for Development and Operations, is a set of practices and principles to improve collaboration and communication between software development and IT operations teams. The importance of DevOps for large organizations cannot be overstated, as it brings several significant benefits that directly impact business performance and agility. Here are some key reasons why DevOps is crucial for large organizations:
Accelerated Delivery of Software: DevOps streamlines the software development and deployment process, allowing organizations to release new features, updates, and fixes much faster. This speed is essential in today's competitive landscape, where businesses need to respond quickly to market demands and customer feedback.
Improved Collaboration and Communication: DevOps promotes collaboration and communication among development, operations, and other relevant teams such as quality assurance (QA) and security. This alignment ensures that everyone is working towards common goals, reduces silos, and enhances efficiency across the organization.
Enhanced Quality and Reliability: By integrating continuous testing, monitoring, and feedback loops into the development process, DevOps helps improve the quality and reliability of software products. Issues can be identified and addressed early in the development cycle, leading to more stable and resilient applications.
Increased Automation: Automation is a key aspect of DevOps, enabling organizations to automate repetitive tasks, such as code deployment, testing, and infrastructure provisioning. Automation reduces human errors, speeds up processes, and frees up teams to focus on higher-value activities.
Scalability and Flexibility: Large organizations often deal with complex and dynamic environments. DevOps practices, such as infrastructure as code (IaC) and containerization, facilitate scalability and flexibility by allowing for rapid provisioning, deployment, and management of resources across different environments (e.g., development, testing, production).
Cost Optimization: DevOps helps optimize costs by eliminating waste, improving resource utilization, and reducing downtime. By streamlining processes and fostering a culture of continuous improvement, organizations can achieve better ROI on their technology investments.
Enhanced Security: Security is a critical concern for large organizations, and DevOps plays a crucial role in integrating security practices throughout the software development lifecycle (SDLC). DevSecOps, an extension of DevOps, focuses on integrating security principles and tools into DevOps processes, leading to more secure applications and faster incident response.
Agility and Innovation: DevOps enables organizations to be more agile and innovative by promoting iterative development, rapid experimentation, and quick adaptation to changing market conditions. This agility is essential for staying competitive and meeting evolving customer needs.
Large organizations can successfully scale DevOps initiatives, improve collaboration, accelerate delivery, and achieve greater agility and innovation. For more insights on DevOps methodology and best practices, check out our new blog on DevOps methodology and process.
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