#devops Mainframe devops

[govindhtech]

Microsoft Introduces Agentic DevOps for Software Development

DevOps agent

Agentic DevOps: Microsoft Azure and GitHub Copilot for software development

Agentic DevOps: Microsoft's Next Software Development Trend at Build 2025

Microsoft launched Agentic DevOps, a new technique that leverages intelligent agents to rethink application creation and maintenance, marking a major milestone in the software development lifecycle. Agentic DevOps, the “next evolution of DevOps,” envisions AI agents working with developers and each other to automate and optimise the software lifecycle.

As it celebrates its 51st anniversary, the company is reimagining its founding as a “software factory” developed by developers for developers. The idea is to help engineers “break free from the grind,” restoring the “joy, your flow, and the magic of building” lost in rising demands, complexity, and technological debt. Besides coding, developers spend a lot of time designing systems, going through documentation, troubleshooting, refactoring, and fighting legacy code.

Agentic workflows are offered by GitHub Copilot, which is crucial to this shift. GitHub Copilot, already used by 15 million developers to speed up development, is expanding beyond code completion to enable agentic workflows, which help teams move from idea to production faster, improve code quality, collaborate faster, fortify security, pay off technical debt, and maintain app smoothness.

Microsoft is making GitHub Copilot available to all Visual Studio Code users to promote openness and community-driven innovation.

The Agentic DevOps announcement includes new developer-focused agents. A new coding agent elevates GitHub Copilot from pair programming to “peer” status in the development team. This agent can manage complex, multi-step coding jobs with other agents. Developers may assign it code reviews, test authoring, issue solutions, and full specification implementation.

It works across files and recommends terminal commands from a single prompt. Popular code editors including Microsoft Visual Studio Code, JetBrains, Eclipse, and Xcode offer “Agent mode”. Due to its audit logs and branch controls, this agent's suggested changes must be evaluated before deployment.

New Azure Site Reliability Engineering (SRE) Agents go beyond development. A 24/7 production system monitor spares developers of late-night warnings. It automatically diagnoses and fixes problems. The SRE Agent evaluates application health and performance in Azure Kubernetes Service (AKS), Azure App Service, serverless, and databases using Microsoft's worldwide experience.

It can solve problems itself or guide developers through root cause analysis. Note that repair items and remedial activities are documented as GitHub issues for team follow-up. Resilient, self-healing technologies allow teams to relax and focus, recover faster, and have fewer wake-up calls.

Agentic DevOps aims to address technical debt. With mainframe modernisation imminent, GitHub Copilot is offering new app modernisation services to help developers update stacks, focussing on legacy Java and.NET workloads. These features enable code assessments, dependency updates, and remediation by providing visibility and control over changes and automatically building and executing update plans. The goal is to produce cost-effective, safe, and stable apps so developers can focus on innovation rather than the past.

Azure's platform supports these capabilities with AI + machine learning services like Azure AI Foundry and Azure OpenAI in Foundry Models, containers (Azure Kubernetes Service, Azure App Service), databases (Azure Cosmos DB, Azure DB for PostgreSQL), and monitoring (Azure Monitor). Azure AI Foundry is a “AI App and agent factory” that lets you test cutting-edge models from several providers in the GitHub workflow with a new native integration. This integration lets GitHub Actions users invoke, compare, and exchange models via a single API.

Microsoft calls Agentic DevOps “as transformative as the shift to the cloud” and “seismic shift.” It promises to minimise friction, simplify processes, and rewrite decades-old cost structures that hampered teams. Agentic DevOps automates monotonous tasks to free developers to create the future and enhance productivity.

Microsoft Build 2025 guests are encouraged to explore this future with talks on agentic AI, GitHub Copilot, faster Azure development, app modernisation with AI, and agent mode in action.

[sbelhadj]

Technology Governance in Banking: Tactical or Strategic?

Modern banking IT landscapes are complex beasts—an evolving mix of legacy mainframes, cloud services, SaaS vendors, regulatory systems, and sprawling on-prem infrastructure. As financial institutions chase digital transformation, what often gets left behind is a coherent strategy for technology governance. Frameworks like FinOps, DevOps, SRE, ITSM, ITAM, SAM, TBM, TOGAF, and ITIL exist to manage…

[tosca-automation-training]

Essential Features Every Test Automation Tool Must Have: A Comprehensive Guide

Introduction

In the fast-paced world of software development, the demand for rapid testing and robust quality assurance has never been greater. As organizations aim to deliver flawless products faster, the need for reliable test automation tools has become essential. One such industry-leading tool is the TOSCA Tool, known for its versatility and efficiency in software test automation.

For those seeking expertise in software automation, TOSCA Training Online has emerged as a game-changer, providing hands-on skills to implement TOSCA in real-world scenarios. Whether you're new to test automation or a seasoned professional looking to advance your skills, understanding the core features every test automation tool should possess is crucial. In this comprehensive guide, we will delve into these essential features and explain why TOSCA Software Automation stands out among the competition.

Why Test Automation Matters

In today's agile and DevOps-driven landscape, manual testing simply cannot keep up with the speed and complexity of modern software development. Test automation bridges this gap by enabling rapid, accurate, and repeatable testing processes. Here’s why automation is indispensable:

Speed and Efficiency: Automated tests execute significantly faster than manual tests, enabling rapid software delivery.

Enhanced Accuracy: By minimizing human error, automated tests ensure more reliable and consistent outcomes.

Reusability and Scalability: Automated test scripts can be reused across multiple projects, saving time and effort.

Continuous Integration (CI) and Continuous Deployment (CD): Automation integrates seamlessly with CI/CD pipelines, allowing for faster releases.

Real-World Example: How Automation Transformed a FinTech Application

A leading FinTech company integrated TOSCA into their test strategy and reduced testing time by 60%. By automating repetitive test cases, they minimized human intervention and maintained high accuracy during every release cycle.

Essential Features of Test Automation Tools

When selecting a test automation tool, it’s crucial to focus on features that enhance performance, usability, and integration. Here are the must-have features that define a top-tier test automation tool like TOSCA.

1. Comprehensive Test Coverage

A robust automation tool should support end-to-end testing across various application types, including web, desktop, mobile, API, and database testing.

Why It Matters: Organizations today rely on multi-platform applications. Ensuring that your automation tool covers all possible environments reduces gaps in testing.

TOSCA's Advantage: TOSCA supports testing for web applications, SAP, mainframes, APIs, and more.

Practical Tip:

Leverage TOSCA’s built-in modules to streamline your testing process for diverse applications without needing separate tools.

2. Scriptless Test Automation

The ability to perform automated testing without writing complex scripts is a game-changer for testers without programming expertise.

Why It Matters: Not all testers are programmers. A scriptless approach reduces the learning curve and makes test automation more accessible.

TOSCA's Advantage: TOSCA’s model-based approach allows users to create and manage test cases without writing code, making automation faster and easier.

3. Seamless Integration with CI/CD Tools

Modern software delivery demands continuous testing and seamless integration with CI/CD pipelines.

Why It Matters: Integrating test automation with tools like Jenkins, Bamboo, or Azure DevOps ensures continuous testing during the development lifecycle.

TOSCA's Advantage: TOSCA supports integrations with popular CI/CD tools, enabling automated test execution in CI environments.

Real-World Example:

A healthcare startup integrated TOSCA with Jenkins, automating the regression testing of their patient management system and reducing manual intervention by 80%.

4. Robust Test Data Management

Managing and reusing test data efficiently is vital for maintaining accurate and reliable test results.

Why It Matters: Automating tests with inconsistent or outdated data can lead to false positives or negatives.

TOSCA's Advantage: TOSCA offers advanced test data management capabilities, allowing users to create, manage, and reuse data seamlessly.

5. Advanced Reporting and Analytics

A reliable automation tool should provide insightful reporting and analytics to track testing progress and identify issues.

Why It Matters: Comprehensive reports help stakeholders make informed decisions by analyzing test outcomes and performance metrics.

TOSCA's Advantage: TOSCA generates detailed, real-time reports, helping testers analyze test results and track failures efficiently.

6. Cross-Browser and Cross-Platform Testing

With the diversity of devices and browsers available, cross-platform compatibility is essential.

Why It Matters: Ensuring that applications work seamlessly across various environments minimizes compatibility issues.

TOSCA's Advantage: TOSCA’s multi-platform support enables testing on different browsers, operating systems, and devices.

7. High Maintainability and Reusability

Maintaining test scripts is often a challenge when applications undergo frequent updates.

Why It Matters: Test automation frameworks with high maintainability save time and resources during updates.

TOSCA's Advantage: TOSCA’s model-based test automation reduces maintenance efforts, even with frequent application changes.

8. Efficient Test Case Design

Designing test cases efficiently ensures that test coverage is both thorough and optimized.

Why It Matters: Overlapping or redundant test cases can bloat test suites and increase execution time.

TOSCA's Advantage: TOSCA’s test case design features allow for systematic and optimized test creation.

Conclusion

Selecting the right test automation tool is crucial for achieving streamlined testing processes and higher software quality. The TOSCA Tool excels with its comprehensive feature set, including scriptless automation, CI/CD integration, and robust test data management. By investing in TOSCA Training Online, testers can maximize the potential of TOSCA and enhance their automation skills, leading to more efficient and reliable testing outcomes.

Unlock your potential in software automation with TOSCA! Start your journey with our TOSCA Software Automation training and gain hands-on experience to become an automation expert.

Stay ahead in your career—embrace the future of test automation with TOSCA today!

[amandajohn]

Best Application Modernization Companies Transforming Businesses in 2025

In today's rapidly evolving digital landscape, enterprises are increasingly looking to modernize their legacy applications to stay competitive and enhance efficiency. Application Modernization Services & Solutions play a crucial role in transforming outdated systems into agile, cloud-enabled applications that align with modern business needs. Here, we list the Top 10 companies in App Modernization Services, helping organizations accelerate digital transformation and optimize their IT infrastructure.

1. Vee Technologies

As a leading Application Modernization Company, Vee Technologies specializes in end-to-end App Modernization Services that help businesses transition from legacy systems to cloud-native architectures. With expertise in reengineering applications, migrating workloads, and integrating AI-driven capabilities, Vee Technologies delivers scalable, secure, and cost-effective modernization solutions that drive digital transformation. Their customer-centric approach and innovative solutions make them a preferred choice for enterprises across various industries.

2. Accenture

Accenture is a globally recognized leader in IT consulting and modernization. Their Application Modernization Services & Solutions focus on transforming legacy applications into cloud-compatible and microservices-based architectures, enabling businesses to increase agility and scalability.

3. IBM

IBM provides robust App Modernization Services, leveraging AI and automation to reengineer enterprise applications. Their comprehensive solutions include mainframe modernization, containerization, and cloud-native transformation.

4. Cognizant

Cognizant helps organizations enhance business agility with cutting-edge Application Modernization Services & Solutions. Their expertise in DevOps, cloud migration, and legacy application replatforming ensures seamless digital transformation.

5. Infosys

Infosys offers strategic App Modernization Services, utilizing AI and cloud computing to upgrade legacy applications. Their modernization framework accelerates digital adoption, improving business operations and customer experiences.

6. Capgemini

Capgemini delivers advanced Application Modernization Services & Solutions that optimize IT landscapes through automation, AI, and cloud integration, ensuring improved agility and reduced operational costs.

7. Wipro

Wipro’s Application Modernization Company services help enterprises transition from monolithic legacy systems to modern, cloud-based environments, ensuring better performance and security.

8. HCL Technologies

HCL Technologies offers comprehensive App Modernization Services, leveraging AI, machine learning, and cloud-native solutions to enhance business resilience and efficiency.

9. TCS (Tata Consultancy Services)

TCS provides robust Application Modernization Services & Solutions, enabling enterprises to embrace digital transformation through scalable, cost-efficient, and cloud-optimized solutions.

10. DXC Technology

DXC Technology specializes in legacy application transformation, offering AI-driven App Modernization Services that streamline IT operations, enhance security, and drive business innovation.

Conclusion Selecting the right Application Modernization Company is crucial for enterprises looking to future-proof their IT systems. These Companies lead the way in delivering innovative Application Modernization Services& Solutions that enhance agility, scalability, and business continuity. Whether it's migrating to the cloud, modernizing legacy applications, or integrating AI-driven features, these top companies provide best-in-class services to help businesses stay ahead in the digital era.

[fromdevcom]

Software is the pulse of any successful venture in 2024. However, with rapidly changing technology, software can become legacy, inefficient, and high-risk surprisingly fast. Software modernization has become an imperative to stay competitive, secure, and innovative in the modern digital landscape. The Risks of Legacy Systems in 2024 Outdated functionality. Legacy systems cannot leverage emerging trends like cloud, AI/ML, containers and microservices which organizations adopt for freedom and innovativeness. This functionally handicaps organizations, highlighting the need for software modernization services. Poor performance. While data and traffic grow exponentially, the old IT infrastructure is unable to provide fast responses, experience congestion, and suffer from downtimes that hinder work and affect clients. Security vulnerabilities. Some of the old languages and platforms used in programming from long time ago have very serious security flaws that make data easy for hackers to get at.  Dependency failures. Mainframes have many layers of dependencies that are concealed from the top layer. This means that as some of them fail or get unsupported, whole systems can crumble down. Burdensome maintenance. Legacy systems require significant manual effort to manage and update, draining IT resources better spent on innovation. Technical debt accumulates to the breaking point. Key Pillars of Software Modernization Effective software modernization requires evolving legacy systems holistically across: 1. Architecture Transformation The process of re-platforming existing systems entails replacing traditional large and centralized systems with distributed cloud-based microservices-based systems using containers and orchestration. This improves flexibility, speed, robustness and capacity to grow. API-enablement results in the creation of reusable services. 2. Cultural and Organizational Transformation Software modernization entails changing the development, operations and organizational processes to adopt modern DevOps culture, practices, tools and methods for delivering digital solutions. 3. Data Transformation The process of moving data to new generation data platforms in the cloud and preparing datasets for analytics and AI/ML applications is critical for improving data-driven decision-making. 4. Testing Transformation While end-to-end test automation is used throughout the delivery pipeline to catch problems early, synthetic monitoring and AI-ops serve as production monitoring and alerting to ensure software health and SLA compliance. Cloud as the Foundation For most organizations today, the cloud is the fundamental enabler underpinning software modernization across application development, delivery automation, testing and production deployment. Key cloud values: Agility - cloud’s self-service provisioning and autoscaling streamline spinning up and tearing down infrastructure on demand, while APIs and microservices accelerate application development. Innovation - use bleeding edge services for AI/ML, blockchain, quantum computing and more without the need for large capital investment. The pace of innovation of cloud is much higher than the on-premise solutions. Resilience - the cloud’s distributed architecture provides built-in redundancy, failover and disaster recovery to maximize application uptime and data durability. Security - cloud providers provide the most advanced security technologies, processes and threat intelligence for most organizations that are unavailable or affordable in an on-premise environment. Savings - from fixed capital cost to variable operating cost, with benefits in automation, self-service, and scale efficiencies. Costs are usually reduced by 30-50% in comparison with on-premises equipment. Cloud Migration Strategies and Process Migrating legacy systems to the cloud involves detailed planning, processes and disciplined execution across six key phases:

Portfolio discovery and business prioritization. Catalog applications, map interdependencies, assess cloud suitability and prioritize based on business goals. Design future state architecture. Define target cloud platform, optimal deployment topology, and requirements for security, compliance and DevOps integration. Migrate and validate initial applications. Lift-and-shift initial applications via automated tooling. Test and validate functionality, performance and security. Iterate and improve migration factory. Continuously improve migration tools and processes based on lessons learned. Automate maximum steps. Migrate the remaining portfolio. With a validated migration factory, the remaining application portfolio is systematically migrated in priority order. Continuous optimization. Monitor cloud environment usage, spend, performance. Right size resources and optimize architecture as needs evolve. A structured, step-wise migration process is key to avoiding business disruption and realizing the full benefits of the cloud destination. Top Cloud Migration Challenges While essential, migrating legacy systems to the cloud has pitfalls, including: Unexpected costs - faulty cloud modeling leads to suboptimal resource selection and overspending, erasing hoped-for savings. Careful planning is key. Skill gaps - cloud technologies, architectures and processes differ significantly from legacy environments. Reskilling staff or leveraging managed services are important. Migration failures - rushed, ad hoc migration efforts often fail. Disciplined software engineering and automation principles are mandatory. Business disruption - botched transitions can interrupt business operations, customers and revenue. Meticulous cutover planning minimizes this. Compliance gaps - cloud security policies and controls may not match legacy governance systems. Proactive compliance reviews help avoid violations. Cultural resistance - organizational inertia and attachment to legacy ways of working can impede cloud adoption. Stakeholder evangelism and change management help drive adoption. Key Components of Cloud-Native Architectures Modern cloud-native application architectures center around: Containers - Package apps and dependencies into standard units for consistency across environments. Examples: Docker, Kubernetes. Microservices - Deconstruct monoliths into sets of distinct, independent cloud services communicating via APIs to improve agility. API-first - Expose application capabilities and data via well-defined APIs for easy interoperability and leverage across channels. DevOps culture - Promote collaboration between developers, ops and business to accelerate software delivery. Leverage CI/CD pipelines, infrastructure-as-code, monitoring. Everything-as-code - Automate maximum processes for consistency and resiliency. Examples: Infrastructure-as-code, configuration-as-code, policy-as-code. Observability - Distributed tracing and real-time monitoring provide application visibility and alerting to maintain performance. Statelessness - Avoid storing the state locally and leverage external persistence services for resilience and horizontal scaling. Key Enablers of Software Modernization Success Beyond technology, modernizing successfully requires transforming processes, culture and organization, including: Agile processes - Iterative delivery, user feedback loops, backlog grooming and sprint planning reduce risk. Site reliability engineering (SRE) - Integrate software and systems engineering discipline for ownership of application availability. DevSecOps - Make security practices part of delivery fully to shift security left. Talent acquisition - Staff existing teams with cloud architects, developers and DevOps engineers. Upskill internally. Change management - Smooth adoption via stakeholder education, new KPIs, updated policies, and organizational realignment.

Executive sponsorship - Ensure C-Suite commitment to reinforce modernization initiatives have organizational urgency and resourcing. Customer involvement - Co-design changes with customers and users to validate experiences to meet needs. Short feedback cycles. Conclusion Many legacy systems have too much technical debt and risk to be worth it. Transferring to cloud-native architectures, processes and culture is a significant opportunity if done right. Organizations need to begin their process of transformation right now or risk losing their ground. With careful strategy and execution, these initiatives can deliver tremendous business value. The time for action is now.

[mitscollege]

Evolution of Computer Applications: How BCA Programs Evolve with Changing Technology

Technology is changing at a pace unprecedented in the fast-paced digital world of today. Industries and businesses worldwide are embracing digital transformation, which means that there is a growing need for professionals with skills that will help navigate such changes and drive innovation. Changes such as these require BCA students to have a robust base built in the foundations of computer science, programming, and software development. BCA courses around the world are constantly changing to ensure that the understanding given remains as basic as it is advanced, preparing the student for reality. As such, MSB College follows this requirement with ever-changing curricula and latest advances in technologies. This post looks at how BCA courses such as those being offered by MSB College regularly change to align with any changes that may happen within information technology trends, tools, and other applications in a computer.

1. How Quickly Is The Technology of Computer Applications Evolution?

Since its invention, computer application has seen its rapid transformations. From central mainframe computing of the bygone era to today's mobile computing and cloud, technology is reshaping virtually every component of computing.

Rise of Mobile Computing and Applications: Transitionally, it was mobile devices that changed the way people perceived technology. Computing became a different thing altogether, as these applications were now carried in one's pocket.

Shift to Cloud Computing: Cloud technology enables the hosting of data and applications on remote servers. This is a new paradigm for flexible and scalable solutions that just makes things phenomenal. Big Data and AI: The rising quantity of data coupled with advance in the AI and Machine learning field have, therefore developed a tremendous requirement for specialists who could formulate data-intensive applications and sophisticated systems Cyber Security: Cyber security becomes yet another related subject under computer application as sensitive information increases threat with more extension in a digital word.

Each of the aforesaid advancements is shaping the BCA programs; hence colleges need to always update syllabus and methods of their training programs. Being among the Best BCA Colleges in Bhubaneswar as well as on top of all Odisha institutions, MSB College adapted it to its programmes through specially created modules where latest and promising technologies find places in curriculum .

Constant curricular changes are a prerequisite for providing relevant skills to students. For the MSB College, the Best BCA College in Bhubaneswar, curriculum development has always been a process which aims at incorporating emerging technologies and new programming paradigms.

Important Changes in Modern BCA Curriculums:

Programming Languages and Tools: Modern BCA programs have transcended the conventional programming languages like C and C++ to include high-demand languages like Python, Java, and JavaScript. They are also trained in widely used tools like GitHub, Docker, and Jenkins.

Cloud and DevOps Focus: With the immense popularity of cloud computing and DevOps, a significant number of BCA programs have recently added modules on cloud platforms such as AWS and Microsoft Azure and DevOps practices.

Data Science and Machine Learning: Data science and machine learning has emerged as an integral component of the BCA curricula. Data analytics, machine learning algorithms, and statistical models are taught to prepare the students for emerging data science industry. With the rise of mobile technology, BCA programs now focus more on developing apps on Android and iOS. In MSB College, it helps in developing high-performance responsive mobile applications which are perfectly meeting the needs of the industry. This changed curriculum makes MSB College the preferred college for people who are looking for top BCA colleges in Odisha, technically at the forefront.

Emphasis on Hands-on Training and Real-World Experience

In the ever-changing world of technology, practical experience is increasingly valued over mere theory. Today, BCA programs also include hands-on training through internships, projects, and industry partnerships that will give students real-world experience.

Industry Leader Internship: MSB College engages leading tech firms and provides students with internships on the actual implementation of their knowledge. In this way, students get practical experience in working on real projects, and they are guided by industry professionals, hence enhancing their competencies.

Project-Based Learning: Project-based learning has also been incorporated into BCA courses. Projects are undertaken in web development, data analysis, as well as cybersecurity, among others. The approach does not only build technical skills but also enhances problem-solving and teamwork abilities.

Industry Sponsored Workshops: MSB College stays in line with the latest technological trends through collaboration with industry leaders on industry-sponsored workshops in topics such as blockchain, artificial intelligence, and IoT.

It has a hands-on approach towards its students, preparing them for the dynamic demands of the tech industry, and so MSB College is considered to be a Top BCA College in Bhubaneswar where students look for both academic rigour and practical experience.

4. Prepare Students for Emerging Tech Roles

The advancement in technology has been revealing new career roles in computer applications. Today, BCA programs aim at preparing students to take on careers that existed only in imagination a few years ago.

Emerging Tech Roles for BCA Graduates:

Data Scientist/Analyst: As data has become a huge asset, data science is one of the fastest-growing technologies in the world. Today, BCA programs contain classes on statistics, data analysis, and machine learning that make the students ready for becoming a data scientist or analyst.

Cyber Security Specialist: Since companies have started to give attention to digital assets and therefore their protection, the area of cybersecurity is quite vital. BCA courses offered by MSB College offer the students knowledge about encryption, ethical hacking, and cyber security protocols. The ever-growing importance of cloud technology has given rise to the need for a cloud engineer, whose demand is ever increasing. BCA programs today encompass cloud fundamentals and certifications in AWS, preparing students for careers in cloud infrastructure and support. The AI and Machine Learning Engineer, as more applications become AI-driven, BCA students are trained in the basics of machine learning, neural networks, and natural language processing.

All these new roles coming up for the students keep the students flexible to face those demands and thus turns out to be one of the Best BCA Colleges in Odisha.

5. Developing Soft Skills for a Competitive Advantage

Besides the technical skills, it is now embodied with soft skills like communication, teamwork, and adaptability in today's BCA programs. The reasons are that the tech industry requires the professional to work in teams of different disciplines, thus there is a need to effectively communicate complex information.

Team Collaboration: A BCA degree inculcates in students the ability to undertake a number of group projects and collaborative activities, which help them to learn working effectively in groups. This experience is invaluable when hired into positions later in life as they are able to communicate ideas clearly and work well with peer groups.

Critical Thinking and Problem Solving: This changing tech landscape calls for the critical thinking and problem-solving abilities of the students. The BCA programs foster the creative and critical thinking that will be required in dealing with real-world challenges.

Leadership and Project Management: If a role that involves working on projects requires leadership capabilities, BCA programs at MSB College can be useful in such technical roles for advancing the candidate's capabilities. Courses, such as project management, leadership are also offered which help build up students into career progressors.

By providing well-rounded education that includes academic and personal skills, it is one of the first choices among Top BCA College in Bhubaneswar that help the candidate grow up technically and personality-wise too.

R and D Integration

Given that the industry boasts innovation at its core, most BCA programs integrate research and development components into the curricula. This R&D emphasis gives students the license to experiment with new ideas, innovative technologies, and contributions to technological advancement.

Research Projects and Innovation Labs: MSB College supports students in research projects related to AI, cyber security, and data science; hence, in fields of their interest.

Industry Collaboration for R&D: Industry associations also facilitate joint research ventures where students work on projects sponsored by the tech majors. Such exposure to R&D processes readies students for anything that goes with the role of innovating and technical responsibilities.

Student-Driven Innovation Support: Innovation labs in MSB College would allow the prototype and experimentation of ideas and concepts by students. This inculcates a lifelong learning attitude through constant problem solving.

These R&D activities put MSB College amongst the #Best BCA Colleges in Odisha that nurture an innovation culture.

7. Lifelong Learning and Agility in Technology

The most important asset for a person working in the tech industry is continuous learning and adaptation. BCA programs nowadays stress the concept of lifelong learning, urging students to stay updated with technological developments and trends in the industry.

Self-Learning and Online Resources: MSB College encourages the students to utilize online learning platforms, certifications, and MOOCs to build up their knowledge base.

Growth Mindset: The college has a growth mindset, with the encouragement to learn from students in terms of curiosity and openness. It allows students to adapt with new technology emerging.

Alumni and Industry Network for Continuous Learning: MSB College develops an alumni network where past students and industry professionals can share insights, advice, and resources. It will help keep the students abreast with industry changes and career options.

This makes the students more competitive and ready for long-term success and becomes the best BCA College in Bhubaneswar .

Conclusion: A Future-Ready Education at MSB College

The world of computer applications is changing constantly, and BCA programs must keep abreast with it to develop candidates for future challenges. With dynamic curricula, partnership with industries, practical training, and focus on innovation,

[ericvanderburg]

Survey Surfaces Increased DevOps Adoption in Mainframe Environments

http://securitytc.com/TDtRjm

[govindhtech]

IBM Mainframe Modernization Strategy With Cloud Native Apps

IBM Mainframe modernization Strategy

The process of updating legacy mainframe programmed, systems, and infrastructure to conform to contemporary business practices and technological advancements is known as “Mainframe modernization.” By releasing the potential of mainframe systems, this technique helps businesses to leverage their current mainframe technology investments and reap the rewards of modernization. Modernize Mainframe can increase agility, efficiency, cost, and customer experience.

What is Mainframe modernization

Modernize mainframe lets firms use cloud computing, machine learning, AI, and DevOps to innovate and grow. Modernize mainframe systems’ seamless interface with other systems, applications, and data sources can establish new business models and revenue streams.

Modernize mainframe also helps businesses handle the problems associated with an ageing workforce, save operating and maintenance costs, and enhance system scalability and performance. Organizations may preserve their market position, boost competitiveness, and realize major economic benefits by using the potential of Modernize Mainframe.

It can be difficult and dangerous to migrate a mainframe system to a different platform, like a distributed or cloud-based system. Conversely, modernizing enables businesses to take use of modernization’s advantages while preserving the value of their current mainframe technology investments.

Make using digital channels easier

Organizations can now use (new) APIs to make Mainframe business operations and data available to applications and services operating in Azure. Additionally, Azure Logic Apps allow integration with popular enterprise software and more. These capabilities are made possible by the relationship between IBM and Microsoft.

Legacy Modernization Mainframe

Mainframe Application Modernization

An organisation can gain a great deal from Modernize Mainframe environment with APIs. It first makes it possible to integrate current tools and technologies with legacy mainframe systems. Consequently, the company will be able to leverage the most recent technological developments and raise the efficacy and efficiency of its operations. With the use of APIs, mobile apps, cloud computing, and artificial intelligence may be integrated with the mainframe to provide a more complete and contemporary solution.

Additionally, by making it possible to create intuitive dashboards and user interfaces that offer real-time access to mainframe data and services, APIs can improve decision-making and efficiency while also contributing to an improved user experience.

Azure API Management can be connected with these APIs, which can be developed with IBM z/OS Connect. A completely managed service called Azure API Management assists businesses with publishing, securing, and managing APIs for their apps. It offers an extensive feature set and tool set for creating, managing, and tracking the lifecycle of APIs.

These APIs can be utilized with Microsoft Power Platform to create web or mobile applications. A low-code or no-code alternative for building a web-based user interface that integrates with the above described created services is Microsoft Power Platform Power Apps.

Expanding the Azure Logic Apps experience

With features like cost-effectiveness, real-time processing, machine learning capabilities, and interaction with well-known enterprise software, Azure Logic Apps offers developers an additional means of Modernize Mainframe systems. By automating repetitive processes and workflows, developers can improve overall efficiency and free up mainframe resources for more important tasks.

Create real-time data sharing

For most firms, attracting clients and standing out from the competition through personalized offers is a primary goal. This calls for a greater amount of real-time data interaction between digital front-end apps hosted on Microsoft Azure and core business programmes operating on the mainframe. All of this is possible without compromising related service-level agreements (SLAs) or essential business applications.

The IBM Z Digital Integration Hub allows developers to curate and combine data that is kept on the mainframe. They can then use mainframe-optimized technologies in place of shifting all the raw data coming from the numerous core apps and related data sources to the cloud.

These technologies are able to interact, communicate, store the curated/aggregated data in memory, and present the data via a variety of standards-based interfaces, including open standard-based APIs and event-based systems like Kafka.

The IBM Z Digital Integration Hub can be set up to proactively communicate curated data with Microsoft Fabric event streams via Kafka in an events-based manner. These event streams can be used to process account notifications when new, interesting transactions are processed on the System of Record.

Subsequently, Data Activator flows may be initiated, causing the notification to be sent to consumers and downstream applications. By combining the capabilities of IBM zDIH with Microsoft Fabric, clients may leverage near-real-time information from IBM Z to swiftly design innovative solutions.

Mainframe Modernization Strategy

It is the responsibility of IT leaders to extend and integrate mainframe capabilities in order to promote business innovation and agility. As a matter of fact, in order to remain competitive, four out of five organizations feel that they must update mainframe-based programmes quickly. Finding the optimal application modernization strategy that provides the best return on investment is the difficult part, though.

IBM Mainframe Modernization

IBM Consulting can assist you in creating a hybrid cloud strategy that combines common agile techniques and mainframe, IBM Z, and Microsoft Azure application interoperability under a single integrated operating architecture. IBM helps maintain applications and data secure, encrypted, and robust by putting them on the appropriate platform. With IBM Z at its heart, this hybrid cloud platform is nimble and effortlessly connected.

IBM Consulting uses IBM Z and Azure to promote IT automation, create Azure applications, and expedite the transformation of mainframe systems. By working together, firms may eliminate the need for specialized skills, maximize investment value, and innovate more quickly.

Discover how to leverage your mainframe’s potential and boost company success. Click the link below to read more about Modernize Mainframe and to schedule a meeting with one of our specialists to discuss how IBM can help you achieve your goals.

Read more on Govindhtech.com

[roamnook]

Google Cloud transforms your business with top-notch AI, ML, and multicloud solutions. Experience global infrastructure, data cloud, and open cloud capabilities for smarter decisions. Visit the website for more insights.

body { margin: 0; padding: 20px; font-family: Arial, sans-serif; } h1, h2, h3, h4, h5, h6 { color: #333; } p { line-height: 1.5; margin-bottom: 20px; } a { color: #007BFF; text-decoration: none; } a:hover { text-decoration: underline; } section { margin-bottom: 40px; }

Accelerate Your Digital Transformation with Google Cloud

Overview

Google Cloud is a leading technology solution provider, offering a wide range of services to help businesses of all sizes accelerate their digital transformation. Whether you are just starting your journey or are well on your way, Google Cloud has the expertise and technology to help you solve your toughest challenges.

Learn more

Key Benefits

Top reasons businesses choose Google Cloud

Enterprise-ready AI

Run your apps wherever you need them with multicloud

Build on the same infrastructure as Google with global infrastructure

Make smarter decisions with unified data using Data Cloud

Scale with open, flexible technology with Open Cloud

Protect your users, data, and apps with robust security

Connect your teams with AI-powered apps for Productivity and collaboration

Reports and Insights

Curated C-suite perspectives in Executive insights

Read what industry analysts say about Google Cloud in Analyst reports

Browse and download popular whitepapers in Whitepapers

Explore case studies and videos in Customer stories

Solutions

Google Cloud offers a wide range of industry-specific solutions to address the specific needs and challenges of different sectors. Here are some of the key solutions:

Retail: Analytics and collaboration tools for the retail value chain

Consumer Packaged Goods: Solutions for CPG digital transformation and brand growth

Financial Services: Computing, data management, and analytics tools for financial services

Healthcare and Life Sciences: Advance research and empower healthcare innovation

Media and Entertainment: Solutions for content production and distribution operations

Telecommunications: Hybrid and multi-cloud services to deploy and monetize 5G

Games: AI-driven solutions to build and scale games faster

Manufacturing: Migration and AI tools to optimize the manufacturing value chain

Supply Chain and Logistics: Enable sustainable, efficient, and resilient data-driven operations

Government: Data storage, AI, and analytics solutions for government agencies

Education: Teaching tools to provide more engaging learning experiences

Application Modernization

Google Cloud provides comprehensive solutions for modernizing your business applications. Whether you need to assess, plan, implement, or measure software practices and capabilities, Google Cloud has you covered.

CAMP Program: Improve your software delivery capabilities using DORA

Modernize Traditional Applications: Analyze, categorize, and migrate traditional workloads to the cloud

Migrate from PaaS: Cloud Foundry, Openshift: Tools for moving your containers to Google's managed container services

Migrate from Mainframe: Automated tools and guidance for moving mainframe apps to the cloud

Modernize Software Delivery: Best practices for software supply chain, CI/CD, and S3C

DevOps Best Practices: Processes and resources for implementing DevOps in your organization

SRE Principles: Tools and resources for adopting Site Reliability Engineering in your organization

Day 2 Operations for GKE: Tools and guidance for effective Google Kubernetes Engine management

FinOps and Optimization of GKE: Best practices for running reliable and cost-effective applications on GKE

Run Applications at the Edge: Guidance for localized and low-latency apps on Google's edge solution

Architect for Multicloud: Manage workloads across multiple clouds with a consistent platform

Go Serverless: Fully managed environment for developing, deploying, and scaling apps

Artificial Intelligence

Add intelligence and efficiency to your business with Google Cloud's AI and machine learning solutions. Whether you are looking to implement conversational AI, document processing, or product recommendation, Google Cloud has the right tools for you.

Contact Center AI: AI model for speaking with customers and assisting human agents

Document AI: Automated document processing and data capture at scale

Product Discovery: Google-quality search and product recommendations for retailers

APIs and Applications

Speed up the pace of innovation without coding using Google Cloud's APIs, apps, and automation tools. Whether you want to attract new developers and partners, modernize legacy applications, or simplify open banking compliance, Google Cloud has you covered.

New Business Channels Using APIs: Attract and empower an ecosystem of developers and partners

Unlocking Legacy Applications Using APIs: Cloud services for extending and modernizing legacy apps

Open Banking APIx: Simplify and accelerate secure delivery of open banking compliant APIs

Databases

Migrate and manage enterprise data with security, reliability, high availability, and fully managed data services. Whether you are looking to simplify your database migration life cycle or run SQL Server virtual machines on Google Cloud, Google Cloud's database solutions have got you covered.

Database Migration: Guides and tools to simplify your database migration life cycle

Database Modernization: Upgrades to modernize your operational database infrastructure

Databases for Games: Build global live games with Google Cloud databases

Data Cloud

Unify data across your organization with Google Cloud's open and simplified approach to data-driven transformation. Whether you need to migrate and manage enterprise data, generate instant insights from data, or innovate and optimize your SaaS applications, Google Cloud has the data solutions you need.

Data Warehouse Modernization: Jumpstart your migration and unlock insights with data warehouse

Data Lake Modernization: Services for building and modernizing your data lake

Spark on Google Cloud: Run and write Spark where you need it, serverless and integrated

Smart Analytics: Generate instant insights from data at any scale with a serverless, fully managed analytics platform

Business Intelligence: Solutions for modernizing your BI stack and creating rich data experiences

Data Science: Put your data to work with Data Science on Google Cloud

Marketing Analytics: Solutions for collecting, analyzing, and activating customer data

Geospatial Analytics and AI: Solutions for building a more prosperous and sustainable business

Startups and SMB

Google Cloud offers tailored solutions and programs to accelerate startup and SMB growth. Whether you are a startup looking for proven technology or an SMB exploring solutions for web hosting, app development, AI, and analytics, Google Cloud has the right tools to fuel your growth.

Startup Solutions: Grow your startup and solve your toughest challenges using Google’s proven technology

Startup Program: Get financial, business, and technical support to take your startup to the next level

Small and Medium Business: Explore solutions for web hosting, app development, AI, and analytics

Software as a Service: Build better SaaS products, scale efficiently, and grow your business

Featured Products

Compute Engine: Virtual machines running in Google’s secure data center for increased flexibility

Cloud Storage: Secure, durable, and scalable object storage

BigQuery: Data warehouse for business agility and insights

Cloud Run: Fully managed environment for running containerized apps

Google Kubernetes Engine: Managed Kubernetes service for running containerized apps

Vertex AI: Unified platform for machine learning models and generative AI

Vertex AI Studio: Build, tune, and deploy foundation models on Vertex AI

Vertex AI Search and Conversation: Build generative AI apps for search and conversational AI

Apigee API Management: Manage the full life cycle of APIs with visibility and control

Cloud SQL: Relational database services for MySQL, PostgreSQL, and SQL Server

Cloud SDK: Command-line tools and libraries for Google Cloud

Cloud CDN: Content delivery network for delivering web and video

See all products

AI and Machine Learning

Vertex AI Platform: Unified platform for ML models and generative AI

Vertex AI Studio: Build, tune, and deploy foundation models on Vertex AI

Vertex AI Search and Conversation: Generative AI apps for search and conversational AI

Dialogflow: Lifelike conversational AI with virtual agents

Security

Security Analytics and Operations: Solution for analyzing petabytes of security telemetry

Web App and API Protection: Threat and fraud protection for your web applications and APIs

Security and Resilience Framework: Solutions for each phase of the security and resilience life cycle

Risk and compliance as code (RCaC): Solution to modernize your governance, risk, and compliance function with automation

Software Supply Chain Security: Solution for improving end-to-end software supply chain security

Security Foundation: Recommended products to help achieve a strong security posture

Smart Analytics

Data Warehouse Modernization: Jumpstart your migration and unlock insights with data warehouse

Data Lake Modernization: Services for building and modernizing your data lake

Spark on Google Cloud: Run and write Spark where you need it, serverless and integrated

Smart Analytics: Generate instant insights from data at any scale with a serverless, fully managed analytics platform

Business Intelligence: Solutions for modernizing your BI stack and creating rich data experiences

Data Science: Put your data to work with Data Science on Google Cloud

Marketing Analytics: Solutions for collecting, analyzing, and activating customer data

Geospatial Analytics and AI: Solutions for building a more prosperous and sustainable business

Datasets: Data Source: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-autoscaler&sa=U&ved=2ahUKEwi4p8uF6LSGAxUGEGIAHXy-COYQFnoECAEQAw&usg=AOvVaw3TCeRPJFwEWgadT3N9Z0Eu

[innovativeroutinesinternational]

Unveiling the Power of ETL Tools: A Comprehensive Guide and ETL Tools List

In the ever-evolving landscape of data management, organizations are continually seeking efficient ways to extract, transform, and load (ETL) their data. ETL tools play a pivotal role in this process, facilitating seamless data integration and ensuring that businesses can harness the full potential of their data. In this article, we'll explore the significance of ETL tools, their key functionalities, and provide a curated ETL tools list for those looking to streamline their data workflows.

Understanding ETL Tools:

ETL, an acronym for Extract, Transform, and Load, refers to the process of collecting data from various sources, transforming it into a suitable format, and loading it into a destination database or data warehouse. ETL tools automate and streamline these tasks, offering a robust solution for organizations dealing with vast and diverse datasets.

Key Functionalities of ETL Tools:

1. Data Extraction:

   ETL tools excel in extracting data from a multitude of sources, including databases, cloud platforms, and flat files. This functionality is crucial for businesses dealing with disparate data spread across different systems.

2. Data Transformation:

   Once data is extracted, ETL tools facilitate its transformation into a consistent and usable format. This involves cleaning, restructuring, and enriching the data to meet the specific requirements of the target system.

3. Data Loading:

   The final step involves loading the transformed data into a destination system, such as a data warehouse. ETL tools ensure that the data is efficiently moved to its intended location, ready for analysis and reporting.

Recommended ETL Tool: IRI Voracity 

One standout ETL tool in the market in terms of speed, features, and affordability is IRI Voracity, offered by Innovative Routines International (IRI), The CoSort Company. Voracity is a comprehenensive data manipulation and integration platform designed to handle large volumes of data efficiently. Let's delve into some of its key features:

1. High-Performance Sorting:

   The IRI CoSort engine in Voracity has been the industry’s fastest sorting engine off the mainframe for decades, speeding up transformation and loading steps in ETL jobs even in other ETL tool environments. This is particularly beneficial when dealing with massive datasets that require quick and efficient processing, and the need for sort-embedded joins and aggregations CoSort also performs at the same time.

2. Data Permutation Capabilities:

   In addition to the versatile data transformation capabilities like sorts, joins and aggregations, users can also (simultaneously) use the engine to: convert and reformat their data types, file formats and database schema for new applications and cloud migrations; filter, cleanse and enrich their data for data quality during the ETL process; transpose (pivot and normalize data) and report on different types of slowly changing dimension; produce custom detail and summary reports, or rapidly wrangle high volumes of data for analytics. This ensures that the data is not only moved seamlessly but is also optimized for the next phase in its lifecycle.

3. Data Discovery, Masking and Testing:

   Security is paramount in the world of data management. Voracity includes PII data classification, discovery, and masking to safeguard sensitive information in its ETL jobs, standalone production sources, and in lower DevOps environments. In addition to database subsetting and smart test data synthesis, these features ensure compliance with data protection regulations and can protect semi- and unstructured data sources, too.

4. Integration with Other Tools:

   In addition to being callable from slower ETL tools, Voracity components seamlessly integrate with various databases, business intelligence tools, and other data engineering and governance platforms like DataSwitch and Quest EDGE. Conversely, their support for IRI metadata means it is easy to run Voracity jobs to speed up and secure your existing tool environment without losing your investment in their metadata.  

Other ETL Tools:

Now that we've explored the capabilities of IRI Voracity, let's broaden our perspective with a curated list of other notable ETL tools that cater to different organizational needs:

1. Apache Nifi:

   An open-source ETL tool that provides a web-based interface for designing data flows, Apache Nifi is particularly well-suited for organizations embracing a scalable and flexible approach to data integration.

2. Talend:

   Talend is a popular open-source ETL tool known for its user-friendly interface and extensive set of connectors. It supports batch and real-time data integration, making it versatile for various business scenarios.

3. Microsoft SQL Server Integration Services (SSIS):

   SSIS is a part of the Microsoft SQL Server database suite, offering a robust ETL solution for organizations invested in the Microsoft ecosystem. It provides a visual design interface for building data integration solutions.

4. Informatica PowerCenter:

   Informatica PowerCenter is a widely used ETL tool that provides advanced data integration capabilities. It offers a scalable and high-performance solution for organizations dealing with complex data integration requirements.

5. Oracle Data Integrator (ODI):

   Oracle's ODI is an ETL tool designed for enterprises using Oracle databases. It provides seamless integration with Oracle systems and supports both batch and real-time data integration.

6. Apache Spark:

   While primarily known as a big data processing framework, Apache Spark includes powerful ETL capabilities. It's suitable for organizations dealing with large-scale data processing and analytics.

Conclusion:

In the data-driven era, ETL tools have become indispensable for organizations aiming to harness the full potential of their data. Whether it's IRI Voracity with its robust data manipulation and security features, or other tools like Apache Nifi, Talend, and Informatica, choosing the right ETL tool depends on the unique needs and requirements of each business.

As you embark on your data integration journey, explore the diverse functionalities offered by these ETL tools and select the one that aligns seamlessly with your organization's objectives. The world of ETL tools is expansive, and with the right solution, you can transform the way you manage and leverage your data for better business outcomes.

[universalinfo]

The Evolution of Cloud Computing: A Comprehensive Overview

In today’s fast-paced digital world, cloud computing has emerged as a transformative force that is reshaping the way businesses operate and individuals access technology. The evolution of cloud computing has been a remarkable journey, one that has revolutionized the IT industry and changed the way we think about computing. In this comprehensive overview, we will delve into the fascinating history and key milestones of this computing, from its inception to the present day, and explore the driving forces behind its evolution.

Chapter 1: The Birth of Cloud Computing

To truly understand the evolution of cloud computing, we must start at the beginning. This chapter will take you back to the early days of computing, tracing the roots of cloud computing to mainframes and timesharing systems. We will explore how the need for shared resources and cost-efficient computing solutions laid the foundation for what we now know as the cloud.

Chapter 2: The Rise of Virtualization

Virtualization was a game-changer in the world of computing. This chapter will explain how virtualization technologies paved the way for the cloud by enabling multiple virtual machines to run on a single physical server. The advent of virtualization brought scalability and flexibility to computing resources, setting the stage for computing’s rapid ascent.

Chapter 3: The Emergence of Service Models

In this chapter, we will explore the evolution of cloud service models, from Infrastructure as a Service (IaaS) to Platform as a Service (PaaS) and Software as a Service (SaaS). Each service model brought its own set of benefits, allowing businesses to choose the level of control and management they needed from the cloud.

Chapter 4: Cloud Providers and the Competitive Landscape

The cloud computing landscape has evolved with the rise of major cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This chapter will discuss how these providers have shaped the industry and fueled the growth of computing services, offering a diverse range of offerings to cater to different business needs.

Chapter 5: Cloud Security and Compliance

As cloud adoption surged, concerns about security and compliance grew in tandem. This chapter will delve into the evolution of cloud security measures and the role of compliance standards in ensuring data protection and regulatory adherence in the cloud.

Chapter 6: The Era of Hybrid and Multi-Cloud

Hybrid and multi-cloud environments have become the new norm. This chapter will explain how businesses are leveraging multiple cloud providers and on-premises infrastructure to optimize their operations, achieve greater flexibility, and reduce risk.

Chapter 7: Cloud-Native Technologies and DevOps

Cloud-native technologies and DevOps practices have redefined application development and deployment. This chapter will explore how containers, microservices, and serverless computing have become integral to modern computing strategies with Corporate Info Management.

Chapter 8: The Future of Cloud Computing

In our final chapter, we’ll gaze into the crystal ball and discuss the future of cloud computing. Topics will include edge computing, quantum computing, and the continued evolution of AI and machine learning in the cloud.

Conclusion:

The evolution of cloud computing is a testament to the relentless innovation and adaptability of the IT industry. From its humble beginnings to its current ubiquity, cloud computing has transformed the way we work, play, and connect. As we look ahead to the future, one thing is clear: the cloud will continue to evolve, bringing even greater possibilities and opportunities for businesses and individuals alike. Stay tuned for the next chapter in this ever-evolving technological journey.

[gazeta24br]

Pesquisa Destaca a Inovação em Mainframes como Força Competitiva para Empresas Modernas A BMC, líder global em soluções de software para Autonomous Digital Enterprise, apresenta os resultados da sua 18a pesquisa anual sobre mainframes1 que reforça o valor de mainframe e seu crescimento contínuo como uma plataforma para inovação. Uma nova apreciação para a resiliência e escalabilidade do mainframe surgiu da grande dependência na tecnologia pela mudança no cenário digital decorrente da pandemia da COVID-19. A pesquisa deste ano da BMC, com mais de 800 executivos e profissionais técnicos, mostrou algumas tendências interessantes: Noventa e quatro por cento dos respondentes têm uma percepção positiva do mainframe e 63% relataram um aumento de investimento em mainframes ao longo do último ano. DevOps e AIOps continuam a crescer no mainframe, enquanto o volume de dados e o número de bancos de dados continuam a crescer de forma significativa. Conformidade e segurança continuam como as principais prioridades para os usuários de mainframe – uma prioridade que surgiu primeiramente em 2019. A nuvem surgiu como uma das quatro prioridades principais para o próximo ano para 35% dos respondentes, com interesse crescente na implantação de tecnologias de nuvem, como armazenamento e backups em nuvem. Os resultados da pesquisa corroboram também a necessidade das organizações fortalecerem seus processos de mainframe corporativo com ferramentas que entreguem maior velocidade, confiabilidade e segurança. Inovação contínua do DevOps e crescimento do AIOps previstos para o próximo ano O crescimento do mainframe enfatiza a inovação e um aumento no uso de DevOps e AIOps para gerar resultados de mundo real. Sessenta e dois por cento dos respondentes relataram usar práticas DevOps no mainframe, reconhecendo a necessidade de rapidamente atualizar aplicações centrais para acompanharem as demandas da empresa e melhorarem a qualidade do desenvolvimento de aplicações. O uso de AIOps em ambientes mainframe e não-mainframe cresceu de forma considerável, de 25% em 2021 para 32% em 2023. Foram reduzidos desafios na implementação de AIOps incluindo custos, complexidade e a necessidade de equipes especializadas. Os usuários atuais relatam melhor uptime, assim como da capacidade de detectar problemas rapidamente, além de compreender tendências futuras como os maiores valores entregues pelo AIOps. Conformidade e segurança seguem como a principal prioridade pelo quarto ano consecutivo Conformidade e segurança lideram a lista de prioridades das organizações de mainframe, com 61% dos respondentes citando estes dois fatores como principais problemas, seguidos da otimização de custos (49%), aprimoração da automação (41%), e recuperação de dados (40%). Estas prioridades correspondem ao aumento de uso de soluções PII (Personally Identified), um aumento de 7% em respondentes usando uma solução dedicada de segurança da informação para mainframes e gerenciamento de eventos (SIEM) desde 2021, com monitoramento de usuários privilegiados e controle de acesso, e serviços de simulação de ataques externos. “Nossa pesquisa destaca que as empresas que investem na modernização do desenvolvimento de aplicações e práticas de operações no mainframe apresentam uma inovação significativamente mais rápida, atingindo altos níveis de resiliência,” disse John McKenny, vice-presidente sênior e gerente geral de Intelligent Z Optimization and Transformation. “À medida em que a inovação em mainframes continua, as organizações que não estão investindo no mainframe colocam seus negócios e seus clientes em um risco significativo.” Recursos Adicionais Baixe o Relatório Completo da Pesquisa de Mainframe 2023 e se registre aqui para o webinar na quarta-feira, 30 de Setembro de 2023 Saiba quais são as novidades em Soluções de mainframe da BMC Descubra o que é preciso para ser uma Autonomous Digital Enterprise ¹O Relatório da Pesquisa de Mainframe 2023

da BMC, é um estudo realizado pela BMC com mais de 800 profissionais de mainframe e TI no mundo, com respostas levantadas entre 28 de Março – 21 de Abril de 2023, através de convites via email para uma pesquisa online. Sobre a BMC A BMC trabalha com 86% das empresas Forbes Global 50 e com clientes e parceiros ao redor do mundo. Com o nosso histórico de inovação, soluções de automação, operações e gerenciamento de serviços líderes do setor, combinados com uma flexibilidade incomparável, a BMC ajuda organizações a liberarem tempo e espaço para prosperarem em sua evolução contínua para uma Autonomous Digital Enterprise (Empresa Digital Autônoma) que conquista as oportunidades em seu caminho. BMC, o logotipo BMC e outros nomes de produtos da BMC são propriedades exclusivas da BMC Software, Inc e são registrados ou podem ser registrados com o Escritório de Patentes e Marcas Registradas dos E.U.A. ou em outros países. ©Marca Registrada 2023 BMC Software, Inc. BMC—Run and Reinvent www.bmc.com

[devopsengineer]

Mainframe devops

Mainframe devops Mainframe devops World breaking news Mainframe devops Enabling DevOps on Mainframe Introduction For many organisations mainframe still drives essential back end processes with a plethora of other technology driving what might be termed ‘front of organisation’ processes and procedures. Mainframe is at the heart of many organisations and is essential for ensuring an effective…

[zdevops]

Git: Straight outta ISPF

So you want to use GIT to manage your SYS1.PARMLIB, or your USERID.COBOL.SRCE but you are (just like me) getting really tired of ftp-ing the files to a Linux-box, adding them to a git repo and commit/pushing them over and over (and over) again?

Imagine how awesome it would be to just update your git repository “straight outta ISPF”

We’ve tackled this with some ISPF-Rexx, a little panel and the ported git for z/OS available via awesome peeps at Rocket Software.

TL;DR -> https://streamable.com/qa2th 

After making changes to a member all you need to do is type “ZGADD” in front of it and the REXX will work it’s magic, copying the member over to USS, and adding it to a git repo. If no git repo is present at the requested directory it will even create one and populate it with a minimal “.gitattributes” to ease the ASCII-EBCDIC issues :)

The pop-up window will then ask you where in USS your git-repo is (or where you want to create it) and let’s you enter a short commit message.

After pressing enter you will a directory with the same name as the PDS :) It’s should be no suprise that the member in question (DFNSTRT) is there too...

In keeping the promise of a full git interface from ISPF let’s take a look at git log (yeah I know, still need to do some work on ‘less’)

There are still some ‘sharp edges’ that need to be sorted before this stuff can be released into the wild. It’s already sitting in a neat little private repo on GitHub (updated directly from ISPF of course).

Stay tuned.....it won’t be long until the repo goes public :)

In case you’re wondering, the members shown in the screenshots are purely for example purposes, there’s just no way we’d have a rootkit running for z/OS. Or would we......

[ericvanderburg]

DevOps is Making Gains on Mainframe Platforms

http://i.securitythinkingcap.com/Sw8hfq