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Office 47, Oud Mehta Tower, 9th Floor, Next
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Azure is a powerful cloud service that helps businesses solve challenges. With the right tools and frameworks, you can build, manage, and deploy applications easily. Azure DevOps provides seamless integration for continuous delivery, while Azure Functions enable you to run code without managing servers. Leverage Azure Machine Learning for smart, data-driven decisions and use Azure data storage for secure, scalable cloud storage. Microsoft’s cloud storage solutions ensure your data is always accessible and protected.
Cloud: Microsoft Azure, AWS, GCP
Version Control: Git, Azure Repos
Container Orchestration: Azure Kubernetes Service (AKS), Amazon ECS, Docker Swarm
CI/CD: Azure DevOps Pipelines, Jenkins, GitLab, GitHub Actions, CircleCI, Travis CI
Automation: Ansible, Chef, Puppet, Terraform
IaC (Infrastructure as Code): Azure Resource Manager, Terraform, AWS CloudFormation, Pulumi
Monitoring & Logging: Azure Monitor, Log Analytics, New Relic, Splunk, AWS CloudWatch
Messaging & Queues: Azure Service Bus, RabbitMQ, Apache Kafka, Redis
Databases: Azure SQL Database, PostgreSQL, MySQL, MongoDB, Cassandra,
Enhance your IT operations with our skilled Azure DevOps developers. We provide seamless integration, cost-effective solutions, and continuous support to ensure your business succeeds with Microsoft Azure’s powerful cloud services.
Hire our skilled Azure DevOps engineers, to transform your development process with optimized deployment, CI/CD, and a highly available, resilient, and secure cloud infrastructure. Using Azure Data Storage, Machine Learning, Cognitive Services, and more, we deliver robust solutions for cloud-native applications. Scale confidently, enhance efficiency, and maximize value with expert Azure support.
At AskGalore, we have a team of skilled Azure DevOps developers with years of experience. Our experts are great at working with Azure DevOps pipelines, CI/CD workflows, and building cloud-native applications to help your business grow.
We help you move smoothly from your old system to Microsoft Azure DevOps. Our team will make sure everything works well together, with little to no disruption to your work.
We use the full power of Microsoft Azure services, like Azure cognitive services, Azure Kubernetes, and Azure DevOps services. Whether you need cloud storage, machine learning, or database services, we have the right solution.
At AskGalore, we create Azure DevOps strategies that fit your business. We improve collaboration, security, and performance to make sure your Azure environment works best for you.
We focus on building reliable, secure, and highly available systems. Our Azure DevOps developers ensure your data and applications are safe with tools like Azure Active Directory and Azure Monitor.
We know that businesses need solutions that are both affordable and scalable. With Azure DevOps, we help you reduce costs and grow your resources as needed.
We don’t stop once your project is done. We provide Azure DevOps support and maintenance to keep everything running smoothly. Whether you need help or performance updates, we are always here for you.
You can hire Azure DevOps developers on a full-time, part-time, or contract basis, depending on your project needs and budget. We offer flexible hiring options that work best for you.
Looking to hire an experienced Azure DevOps engineer at affordable rates? Whether you need an AWS certified DevOps engineer or an Azure DevOps engineer, hire on an hourly or full-time basis and save up to 60% on your development costs. Build secure, scalable, and real-time applications to drive business growth.
Automate your software delivery processes by connecting your development and operations teams. Ensure the security, reliability, and efficiency of your infrastructure, from small businesses to large organizations.
Hiring Azure DevOps engineers from AskGalore will help streamline new product development and simplify the maintenance of existing deployments.
Azure AI and Cognitive Services help businesses create smart apps using tools like natural language processing, image recognition, and machine learning. These services make it easier to analyze data, find patterns, and make better decisions. Use Azure cloud for secure and scalable AI solutions.
Azure OpenAI Service integrates the power of OpenAI’s language models with Azure's enterprise-grade infrastructure. It understanding, summarization, and code creation. Organizations can leverage its robust security and compliance features for building reliable AI solutions in areas like customer interaction, decision-making, and creative workflows.
Azure Cognitive Services offers a comprehensive suite of APIs across Vision, Speech, Language, and Knowledge domains. Use AI capabilities such as facial recognition, sentiment analysis, real-time translation, and custom decision-making models. These tools accelerate innovation by providing plug-and-play features for smarter applications and services.
Azure Machine Learning Services help businesses build, train, and deploy machine learning models quickly. These services make it easy to analyze data, automate tasks, and improve decision-making. Use Azure cloud, AI tools, and machine learning models to create smart and scalable solutions.
Azure Machine Learning accelerates the creation, training, and deployment of machine learning models through its scalable platform. Its AutoML (Automated Machine Learning) feature allows users to build models quickly without coding. Advanced features like interpretability, data drift monitoring, and integration with Jupyter notebooks provide a full-stack experience.
These pre-configured virtual machines come loaded with tools like R, Python, Jupyter, TensorFlow, and PyTorch. They are designed for developers and data scientists to jumpstart AI projects with minimal setup effort. Enterprises can deploy these VMs to run AI experiments or conduct high-performance computing (HPC) tasks securely.
Synapse Analytics bridges big data processing with data warehouse storage. Its deep integration with Azure AI lets users perform predictive analytics, develop machine learning pipelines, and automate insights with natural language queries through Power BI.
Azure Databricks provides a collaborative workspace for big data engineering and AI projects. Optimized for high-performance analytics, it supports structured and unstructured data processing with seamless integration into Azure storage and AI services. Ideal for industries needing advanced machine learning models or real-time analytics.
Azure AI-Enabled Data Services help businesses process and analyze data faster with tools like AI and machine learning. These services improve data insights, automate tasks, and support smart decision-making. Use Azure cloud, AI-powered tools, and data analytics solutions to boost your business efficiency.
This analytics service simplifies big data processing by eliminating the need for complex infrastructure management. Users can write queries using U-SQL and leverage AI-driven insights to uncover patterns and trends across vast datasets.
This real-time analytics service processes and analyzes large volumes of streaming data from IoT devices, logs, and sensors. AI capabilities enable anomaly detection, predictive maintenance, and dynamic operational adjustments based on real-time inputs.
Azure Data Factory enables end-to-end data integration workflows, making it easier to prepare, transform, and transfer data between various sources and destinations. The service includes AI-infused connectors to enrich data pipelines with cognitive capabilities like language detection or sentiment analysis.
Azure AI for Edge and IoT helps connect and manage smart devices with AI at the edge. It enables real-time data processing, faster decisions, and smarter IoT solutions. Use Azure IoT, edge computing, and AI-powered devices to build efficient and scalable systems.
Azure IoT Edge provides local AI and analytics processing at the edge, reducing latency and dependence on cloud connectivity. Its modular architecture supports AI models like object detection or predictive maintenance, which are crucial for industries like manufacturing and retail.
Azure Percept simplifies AI adoption at the edge by bundling hardware accelerators, cameras, and prebuilt AI models for IoT solutions. Developers can quickly prototype and deploy vision-based AI, voice command recognition, and other intelligent edge capabilities.
Azure Video Analyzer helps organizations process video streams in real time to extract actionable insights. Use cases range from smart surveillance systems and traffic monitoring to retail analytics and quality control in manufacturing.
Azure AI Developer Tools provide everything developers need to create, test, and deploy AI applications easily. These tools support tasks like building machine learning models and integrating AI into apps. Use Azure AI tools, developer solutions, and machine learning platforms to speed up your AI projects.
Azure Bot Service empowers developers to build conversational AI bots capable of understanding and responding in natural language. Its integration with channels like Microsoft Teams, Slack, and WhatsApp ensures multi-platform deployment for enhanced customer engagement.
Logic Apps allow developers to create automated workflows with ease. By integrating AI services, such as cognitive text analysis or speech recognition, these workflows can deliver smarter outcomes across processes like customer support or logistics tracking.
Custom Neural Voice is a part of Azure Speech Services that allows businesses to create branded, natural-sounding synthetic voices. It is widely used in applications like virtual assistants, audiobooks, and interactive storytelling.
Azure AI Builder provides low-code AI tools for users to enhance business applications with features like form processing, sentiment detection, and image recognition. Its simplicity enables rapid prototyping and deployment for non-technical users.
Azure AI and ML-Related Services help businesses build and deploy machine learning models and AI applications easily. These services offer tools for data analysis, automation, and smart decision-making. Use Azure AI, machine learning, and data analyticsto create scalable and efficient solutions for your business.
Azure Kubernetes Service offers a managed environment for containerized workloads, including machine learning models. It ensures seamless scaling and orchestration for deploying AI applications in production environments.
Azure DevOps for ML enhances collaboration and efficiency in the machine learning lifecycle. By automating model versioning, testing, and deployment pipelines, it ensures smoother transitions from development to production.
Azure Batch AI allows distributed training and large-scale computations for resource-intensive AI models. It is ideal for neural network training, parameter tuning, and big data analytics at scale.
Azure Cognitive Search transforms traditional search by integrating AI enrichment capabilities. It uses techniques like OCR (Optical Character Recognition), entity extraction, and natural language processing to deliver smarter, context-driven search experiences.