We provision servers on Amazon EC2 and Lightsail with the right operating system, storage and security settings, using infrastructure as code so every environment is repeatable.
Our certified cloud engineers use Amazon S3 for secure, durable data storage and CloudFront for fast content delivery, with lifecycle rules that keep storage costs low and performance reliable.
We deploy fully managed databases in minutes on Amazon RDS, Aurora and DynamoDB, including MySQL and PostgreSQL engines, with automated backups, read replicas, patching and monitoring.
We set up Amazon CloudWatch, SNS and SES for real-time monitoring, alerts and notifications. Our cloud engineers make sure issues are caught early, before they affect your users.
We help you scale with AWS Lambda serverless functions and deploy web applications on Elastic Beanstalk for .NET, Java, Python and Node.js, without managing servers or deployment scripts.
We help you analyze large datasets with Amazon Athena, EMR and Redshift, and present insights in QuickSight or Tableau. For data pipelines, see our data engineering services.
Years in Business
IT Professionals
Clients Worldwide
Projects Executed
We use Amazon EC2, Lightsail, Route 53, VPC, subnets, security groups and IAM to build secure, scalable and well-segmented networks. DNS records, network settings and access policies are managed as code, which keeps every cloud deployment consistent.
We use Docker, Amazon EKS, ECS, Fargate, ECR, AWS Lambda and Elastic Beanstalk for container and serverless deployments. These services scale applications automatically, simplify container orchestration and reduce the infrastructure your team has to manage.
We automate infrastructure with Terraform, AWS CloudFormation, AWS CDK, Ansible and Puppet. Every environment is defined as code, versioned and repeatable, which keeps deployments consistent and reduces manual configuration errors across dev, test and production.
We tune application performance with Elastic Load Balancing (ALB and NLB), Auto Scaling, CloudFront, S3 and S3 Glacier storage tiers. Traffic is spread evenly across healthy instances, content loads quickly for users in every region, and storage costs stay under control. The result is an application that stays available and responsive during traffic peaks.
We deploy and manage Amazon Aurora, DynamoDB, RDS for SQL Server, MySQL and PostgreSQL. Each database is configured for high availability, automated backups, encryption and the performance your application needs, based on how your business actually reads and writes data.
We implement Amazon SQS, SNS, Amazon MSK (managed Apache Kafka) and ElastiCache for Redis for messaging, event streaming and caching. These services decouple your system components, smooth out traffic spikes and keep real-time applications fast and responsive under load.
Our analysts will thoroughly review your project requirements and select the most experienced developers best suited for your project.
Our experts will contact you within no time to discuss your project related queries and to offer the best solution for your project development.
Based on the project consultation provided by our experts, you can choose the engagement timelines for your project execution.
Formalize your project with a tailored contract, ensuring transparency and mutual commitment before project development begins.
AWS cloud computing is the on-demand delivery of computing, storage, databases and AI services from Amazon Web Services, paid for only as you use them.
Xicom plans and executes AWS migrations, builds cloud-native applications, sets up DevOps pipelines and manages your AWS environments after go-live.
Yes. We design multi-cloud and hybrid setups that connect AWS with Microsoft Azure, Google Cloud or on-premises systems, with shared monitoring.
Time and cost depend on the number of applications, data volume and how much re-architecture is needed. A simple lift-and-shift can take a few weeks, while a large migration with refactoring can take several months. We provide a fixed estimate after a short assessment of your environment.
We plan each migration in phases, replicate data ahead of cutover with tools such as AWS Database Migration Service, test in a staging environment and schedule the final switch in a low-traffic window with a rollback plan ready.