Solutions
Mainframe Management and Optimization
Modernization of Mainframes
We transform legacy infrastructures with intelligent tools and advanced management.
Performance Management
We optimize the use of resources to improve operational efficiency and reduce bottlenecks.
Event Management and Automation
We automate critical tasks and manage events in real time to improve service continuity.
Network Management
We update connectivity with high-speed technologies, reducing latencies and improving data traffic.
Storage Intelligence
We apply intelligent solutions for efficient storage management and protection of sensitive data.
Strategies DevOps
We modernize not only technology, but also organizational culture. We break down traditional silos and encourage collaboration between developers, testers, operations, security and other teams.
Breaking cultural silos
This is perhaps the most critical aspect. Mainframe development teams and operations teams have often worked in isolation.
Automation of legacy processes
Modern version control
Integrate version control tools such as Git with mainframe source code repositories (COBOL, PL/I, JCL, etc.).
Automated compilation and packaging
Use tools that allow you to compile and package mainframe applications in an unattended manner.
Automated testing
Implement automated unit, integration, and regression testing to ensure code quality before deployment.
Automated deployment
Reduce manual intervention in deployments to QA, pre-production and production environments.
Modernization of tools and processes
Modern IDEs
Use integrated development environments (IDEs) based on Eclipse or Visual Studio Code with mainframe-specific extensions, which offer functionalities such as error detection, advanced editing and interactive debugging.
APIfication
Expose mainframe functionality through APIs, allowing modern applications (in the cloud or other environments) to interact with mainframe systems.
Integration with Open Source tools
Connect the mainframe with popular open world DevOps tools, such as Jenkins for CI/CD, or monitoring and logging solutions.
Complexity and change management
Mainframes often host complex, aging systems with critical interdependencies. DevOps in this context requires:
Impact analysis
Tools to understand dependencies and the impact of changes before implementing them.
Configuration management
Maintain strict control over configurations and versions of system components.
Fast rollback
The ability to quickly roll back to a previous version in case of problems.
Automation of Workloads
Intelligent automation from start to finish. In critical environments, every task and every process counts. That's why we automate not only to save time, but to ensure that each workflow—from inception to closure—is managed and executed accurately and without manual intervention. Everything is orchestrated to work with maximum efficiency.
Reliability and Resilience for Critical Operations
We know that you are handling applications that cannot fail. Therefore, we design the
automation with operational continuity in mind: with automatic recovery mechanisms, intelligent retries and error tolerance, we ensure that processes continue to work even in the face of unforeseen events.
Event-Based and Conditional Programming
The ability to start jobs based on events (arrival of a file, message in a queue, change in a database) or on logical conditions (value of a parameter, state of a resource) is crucial for agility and efficiency.
Cargo Management
Emphasizes the ability to handle loads and prevent conflicts in systems. Highlights the agility and adaptability of the technological environment.
Centralized Monitoring and Proactive Notifications
Central console that provides real-time visibility of the status of all jobs, with alert and automatic notification capabilities for anomalies, errors or delays, essential for efficient and proactive management.
Performance Optimization
Automation not only runs jobs, but can also help optimize when and where they run to maximize the efficiency of core platform resources.
Management of complex dependencies
Enterprise workloads often have thousands of dependencies on each other (one job cannot start until another has finished or until a specific file is available).
Heterogeneous Integration
A modern automation solution must integrate with a variety of distributed systems (servers, databases, cloud, web services, etc.), orchestrating workflows that span the enterprise's entire IT landscape.
Management
We protect critical infrastructures through a comprehensive cybersecurity approach, adapted to current challenges.
Access and privilege management
We control who accesses which resources, ensuring that each user has only the necessary permissions.
Encryption and authentication protocols
We implement advanced encryption standards and authentication mechanisms to guarantee the confidentiality and integrity of data.
Cyberattack prevention
We apply proactive monitoring and defense technologies to detect and block threats in real time.
Contingency plans
We design contingency plans
Adoption of computer security regulations
We align systems with international regulations (such as ISO 27001 or NIST), guaranteeing compliance and operational confidence.
Data backup
We design recovery strategies that ensure business continuity in the event of incidents or disasters.
Optimization of
High Performance Networks
We drive faster, more secure and efficient network infrastructures for critical operations.
High speed communication such as FICON and OSA-Express
We use technologies such as FICON and OSA-Express (TCP/IP) to ensure fast and secure transfers.
Load balancing and traffic management
We efficiently distribute network loads to improve performance and avoid bottlenecks.
Reduction of latency in critical transactional operations
We optimize processes to minimize response time in performance-sensitive operations.
Network segmentation and security
We protect data in transit using advanced encryption and access control protocols.
High-speed internal communication technologies between LPARs
We implement technologies such as HiperSockets to accelerate communication within the mainframe system.
Network performance monitoring and tuning
We apply tools such as IBM OMEGAMON or z/OS Communications Server to continually monitor and tune network performance.
Artificial intelligence (AI)
We turn the mainframe into an innovation platform, applying AI to discover value, automate processes and evolve your business.
Automation of legacy processes
Proximity to mission critical data
The main advantage is the ability to run AI models directly where the most valuable transactional and operational data resides. This improves latency, security and performance.
Inherent performance and scalability
These platforms are designed to handle exceptional performance and massive workloads. AI benefits from this architecture, enabling large-scale model training and inference.
Enterprise-grade security and resilience
Data security is paramount. AI is integrated into an environment that already has the highest standards of security, encryption and resilience, which is crucial for applications that handle sensitive information.
Integration with existing applications (APIfication)
AI does not replace core applications, but rather complements them. APIs and connectors are used to allow AI models to interact with legacy applications, enriching their functionalities.
Optimization of resources and workloads
AI can be applied for autonomous management of platform resources, optimizing memory, CPU and storage allocation, and even predicting demand peaks.
Real-time analysis and anomaly detection
The ability to process data in real time and apply AI algorithms enables instant detection of anomalous patterns, which is critical for security, fraud prevention, and system health monitoring.
Implementation Models
We offer total flexibility to adapt the technological infrastructure to the client's strategic needs.
Local infrastructure (On-Premise)
Deployments within the client's physical environment, ideal for organizations that require absolute control over their data and systems.
In the cloud
(Cloud-Based)
Solutions hosted on cloud platforms, which offer scalability, agility and reduction of operating costs.
Hybrid deployment
We combine on-premises and cloud environments to balance control, flexibility and operational efficiency.
Solutions
Modernization of Mainframes
We transform legacy infrastructures with intelligent tools and advanced management.
We optimize the use of resources to improve operational efficiency and reduce bottlenecks.
We automate critical tasks and manage events in real time to improve service continuity.
We update connectivity with high-speed technologies, reducing latencies and improving data traffic.
We apply intelligent solutions for efficient storage management and protection of sensitive data.
Performance Management
We optimize the use of resources to improve operational efficiency and reduce bottlenecks.
Event Management and Automation
We automate critical tasks and manage events in real time to improve service continuity.
Network Management
We update connectivity with high-speed technologies, reducing latencies and improving data traffic.
Storage Intelligence
We apply intelligent solutions for efficient storage management and protection of sensitive data.
Strategies DevOps
We modernize not only technology, but also organizational culture. We break down traditional silos and encourage collaboration between developers, testers, operations, security and other teams.
Breaking cultural silos
This is perhaps the most critical aspect. Mainframe development teams and operations teams have often worked in isolation.
Automation of legacy processes
Integrate version control tools such as Git with mainframe source code repositories (COBOL, PL/I, JCL, etc.).
Use tools that allow you to compile and package mainframe applications in an unattended manner.
Implement automated unit, integration, and regression testing to ensure code quality before deployment.
Reduce manual intervention in deployments to QA, pre-production and production environments.
Modern version control
Integrate version control tools such as Git with mainframe source code repositories (COBOL, PL/I, JCL, etc.).
Automated compilation and packaging
Use tools that allow you to compile and package mainframe applications in an unattended manner.
Automated testing
Implement automated unit, integration, and regression testing to ensure code quality before deployment.
Automated deployment
Reduce manual intervention in deployments to QA, pre-production and production environments.
Modernization of tools and processes
Use integrated development environments (IDEs) based on Eclipse or Visual Studio Code with mainframe-specific extensions, which offer functionalities such as error detection, advanced editing and interactive debugging.
Connect the mainframe with popular open world DevOps tools, such as Jenkins for CI/CD, or monitoring and logging solutions.
Expose mainframe functionality through APIs, allowing modern applications (in the cloud or other environments) to interact with mainframe systems.
Modern IDEs
Use integrated development environments (IDEs) based on Eclipse or Visual Studio Code with mainframe-specific extensions, which offer functionalities such as error detection, advanced editing and interactive debugging.
Integration with Open Source tools
Connect the mainframe with popular open world DevOps tools, such as Jenkins for CI/CD, or monitoring and logging solutions.
APIfication
Expose mainframe functionality through APIs, allowing modern applications (in the cloud or other environments) to interact with mainframe systems.
Complexity and change management
Mainframes often host complex, aging systems with critical interdependencies. DevOps in this context requires:
Tools to understand dependencies and the impact of changes before implementing them.
Maintain strict control over configurations and versions of system components.
The ability to quickly roll back to a previous version in case of problems.
Impact analysis
Tools to understand dependencies and the impact of changes before implementing them.
Configuration management
Maintain strict control over configurations and versions of system components.
Fast rollback
The ability to quickly roll back to a previous version in case of problems.
Automation of Workloads
Intelligent automation from start to finish. In critical environments, every task and every process counts. That's why we automate not only to save time, but to ensure that each workflow—from inception to closure—is managed and executed accurately and without manual intervention. Everything is orchestrated to work with maximum efficiency.
Reliability and Resilience for Critical Operations
We know that you are handling applications that cannot fail. Therefore, we design the
automation with operational continuity in mind: with automatic recovery mechanisms, intelligent retries and error tolerance, we ensure that processes continue to work even in the face of unforeseen events.
A modern automation solution must integrate with a variety of distributed systems (servers, databases, cloud, web services, etc.), orchestrating workflows that span the enterprise's entire IT landscape.
The ability to start jobs based on events (arrival of a file, message in a queue, change in a database) or on logical conditions (value of a parameter, state of a resource) is crucial for agility and efficiency.
Central console that provides real-time visibility of the status of all jobs, with alert and automatic notification capabilities for anomalies, errors or delays, essential for efficient and proactive management.
Automation not only runs jobs, but can also help optimize when and where they run to maximize the efficiency of core platform resources.
Emphasizes the ability to handle loads and prevent conflicts in systems. Highlights the agility and adaptability of the technological environment.
Enterprise workloads often have thousands of dependencies on each other (one job cannot start until another has finished or until a specific file is available).
Heterogeneous Integration
A modern automation solution must integrate with a variety of distributed systems (servers, databases, cloud, web services, etc.), orchestrating workflows that span the enterprise's entire IT landscape.
Event-Based and Conditional Programming
The ability to start jobs based on events (arrival of a file, message in a queue, change in a database) or on logical conditions (value of a parameter, state of a resource) is crucial for agility and efficiency.
Centralized Monitoring and Proactive Notifications
Central console that provides real-time visibility of the status of all jobs, with alert and automatic notification capabilities for anomalies, errors or delays, essential for efficient and proactive management.
Performance Optimization
Automation not only runs jobs, but can also help optimize when and where they run to maximize the efficiency of core platform resources.
Cargo Management
Emphasizes the ability to handle loads and prevent conflicts in systems. Highlights the agility and adaptability of the technological environment.
Management of complex dependencies
Enterprise workloads often have thousands of dependencies on each other (one job cannot start until another has finished or until a specific file is available).
Management
We protect critical infrastructures through a comprehensive cybersecurity approach, adapted to current challenges.
We implement advanced encryption standards and authentication mechanisms to guarantee the confidentiality and integrity of data.
We control who accesses which resources, ensuring that each user has only the necessary permissions.
We apply proactive monitoring and defense technologies to detect and block threats in real time.
We design contingency plans
We design recovery strategies that ensure business continuity in the event of incidents or disasters.
We align systems with international regulations (such as ISO 27001 or NIST), guaranteeing compliance and operational confidence.
Encryption and authentication protocols
We implement advanced encryption standards and authentication mechanisms to guarantee the confidentiality and integrity of data.
Access and privilege management
We control who accesses which resources, ensuring that each user has only the necessary permissions.
Cyberattack prevention
We apply proactive monitoring and defense technologies to detect and block threats in real time.
Contingency plans
We design contingency plans
Data backup
We design recovery strategies that ensure business continuity in the event of incidents or disasters.
Adoption of computer security regulations
We align systems with international regulations (such as ISO 27001 or NIST), guaranteeing compliance and operational confidence.
Optimization of
High Performance Networks
We drive faster, more secure and efficient network infrastructures for critical operations.
We use technologies such as FICON and OSA-Express (TCP/IP) to ensure fast and secure transfers.
We efficiently distribute network loads to improve performance and avoid bottlenecks.
We optimize processes to minimize response time in performance-sensitive operations.
We protect data in transit using advanced encryption and access control protocols.
We implement technologies such as HiperSockets to accelerate communication within the mainframe system.
We apply tools such as IBM OMEGAMON or z/OS Communications Server to continually monitor and tune network performance.
High speed communication such as FICON and OSA-Express
We use technologies such as FICON and OSA-Express (TCP/IP) to ensure fast and secure transfers.
Load balancing and traffic management
We efficiently distribute network loads to improve performance and avoid bottlenecks.
Reduction of latency in critical transactional operations
We optimize processes to minimize response time in performance-sensitive operations.
Network segmentation and security
We protect data in transit using advanced encryption and access control protocols.
High-speed internal communication technologies between LPARs
We implement technologies such as HiperSockets to accelerate communication within the mainframe system.
Network performance monitoring and tuning
We apply tools such as IBM OMEGAMON or z/OS Communications Server to continually monitor and tune network performance.
Artificial intelligence (AI)
We turn the mainframe into an innovation platform, applying AI to discover value, automate processes and evolve your business.
The main advantage is the ability to run AI models directly where the most valuable transactional and operational data resides. This improves latency, security and performance.
These platforms are designed to handle exceptional performance and massive workloads. AI benefits from this architecture, enabling large-scale model training and inference.
Data security is paramount. AI is integrated into an environment that already has the highest standards of security, encryption and resilience, which is crucial for applications that handle sensitive information.
AI does not replace core applications, but rather complements them. APIs and connectors are used to allow AI models to interact with legacy applications, enriching their functionalities.
AI can be applied for autonomous management of platform resources, optimizing memory, CPU and storage allocation, and even predicting demand peaks.
The ability to process data in real time and apply AI algorithms enables instant detection of anomalous patterns, which is critical for security, fraud prevention, and system health monitoring.
Automation of legacy processes
Proximity to mission critical data
The main advantage is the ability to run AI models directly where the most valuable transactional and operational data resides. This improves latency, security and performance.
Inherent performance and scalability
These platforms are designed to handle exceptional performance and massive workloads. AI benefits from this architecture, enabling large-scale model training and inference.
Enterprise-grade security and resilience
Data security is paramount. AI is integrated into an environment that already has the highest standards of security, encryption and resilience, which is crucial for applications that handle sensitive information.
Integration with existing applications (APIfication)
AI does not replace core applications, but rather complements them. APIs and connectors are used to allow AI models to interact with legacy applications, enriching their functionalities.
Optimization of resources and workloads
AI can be applied for autonomous management of platform resources, optimizing memory, CPU and storage allocation, and even predicting demand peaks.
Real-time analysis and anomaly detection
The ability to process data in real time and apply AI algorithms enables instant detection of anomalous patterns, which is critical for security, fraud prevention, and system health monitoring.
Implementation Models
We offer total flexibility to adapt the technological infrastructure to the client's strategic needs.
Deployments within the client's physical environment, ideal for organizations that require absolute control over their data and systems.
Solutions hosted on cloud platforms, which offer scalability, agility and reduction of operating costs.
We combine on-premises and cloud environments to balance control, flexibility and operational efficiency.
Local infrastructure (On-Premise)
Deployments within the client's physical environment, ideal for organizations that require absolute control over their data and systems.
In the cloud
(Cloud-Based)
Solutions hosted on cloud platforms, which offer scalability, agility and reduction of operating costs.
Hybrid deployment
We combine on-premises and cloud environments to balance control, flexibility and operational efficiency.
Services
Consulting experts Technique
We drive technological transformation with precise diagnostics and continuous improvement services for critical environments.
Diagnostics
(Health Checks - HC)
Technical evaluations to know the real state of the infrastructure and guide effective improvements:
- Basic Diagnosis
- Diagnosis with Remediation Services
- Diagnosis with Remediation Architecture
- Basic Diagnosis
- Diagnosis with Remediation Services
- Diagnosis with Remediation Architecture
Migration
/ Upgrade
We plan and execute migrations or technological updates minimizing risks and downtime
Maintenance and Support
post-implementation
We guarantee operational continuity with monitoring, adjustments and specialized technical support, adapted to each environment.
Core/Legacy
Systems Integration
We transform legacy infrastructures with intelligent tools and advanced management.
Are you looking to optimize your Mainframe environment with reliable and high-performance solutions?
In Xmain we help you modernize and strengthen your z/OS systems to guarantee continuity, efficiency and operational security.
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