Himanshu Jha

First certification with GenAI

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Unlearning what you think is a solution to a problem and actually learning what the solution is, from the perspective of users. This is the summary of this wonderful course. Thanks Ishan Arora Great Learning #StanfordGSB

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Streamlining Connectivity in Enterprise Architecture In today's complex business landscape, enterprises often rely on a multitude of applications—ranging from legacy systems to modern cloud solutions. This diversity can create significant integration challenges that hinder operational efficiency. The article "Enterprise Integration Patterns" highlights how specific patterns can address these challenges, providing a roadmap for organizations striving for seamless connectivity. ### The Need for Integration As businesses evolve, they accumulate various applications that must work together to support comprehensive business processes. For example, a single customer transaction may involve multiple systems for order management, billing, and customer service. Effective integration is crucial to ensure that these systems communicate efficiently, enabling smooth operations and enhanced customer experiences. ### Key Integration Challenges The article outlines several key challenges associated with enterprise integration: - Diverse Systems: Different applications may operate on various platforms and technologies, complicating integration efforts. - Organizational Silos: Business units often develop their own applications independently, leading to a lack of standardization and communication barriers. - Legacy Systems: Many existing systems are difficult to modify or integrate with new solutions, creating additional hurdles. - Semantic Differences: Variations in data semantics across systems can impede effective communication and data exchange. ### How Integration Patterns Can Help Integration patterns serve as reusable solutions to common integration problems. They provide established approaches that have proven successful in similar scenarios. Here are some key patterns discussed in the article: 1. Service-Oriented Architecture (SOA): Promotes the use of services that can be reused across applications, enhancing modularity and flexibility. 2. Shared Business Functions: Exposes common functionalities as services, reducing redundancy and improving efficiency in accessing shared data. 3. Distributed Business Processes: Coordinates multiple systems to execute a single business process, enhancing overall operational flow. 4. Information Portals: Aggregates data from various sources into a unified interface, simplifying user access to information spread across different systems. #EnterpriseArchitecture #IntegrationPatterns #Microservices #TOGAF #SOA #DigitalTransformation #LegacySystems #BusinessProcessManagement #CloudIntegration #AgileDevelopment #DataManagement #ITArchitecture #BusinessEfficiency

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𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝘀𝘀𝘂𝗲𝘀 𝗱𝗼𝗻’𝘁 𝘄𝗮𝗶𝘁. 𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝘆𝗼𝘂? 🚨 For cloud-native systems running on Kubernetes and Spring Boot, 𝗠𝗲𝗮𝗻 𝗧𝗶𝗺𝗲 𝘁𝗼 𝗥𝗲𝗰𝗼𝘃𝗲𝗿𝘆 (𝗠𝗧𝗧𝗥) is often the difference between smooth operations and lost revenue. But resolving issues traditionally wastes hours—manual log analysis, scattered dashboards, and slow root cause identification. Generative AI changes this. 🔍 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝗶𝘁 𝗮𝗱𝗱𝘀 𝘃𝗮𝗹𝘂𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘀𝘁𝗮𝗰𝗸 (ELK, Grafana, Jaeger): 💡 𝗜𝗻𝘀𝘁𝗮𝗻𝘁 𝗟𝗼𝗴 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: AI spots patterns and anomalies faster than manual searches. 💡 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗼𝘁 𝗖𝗮𝘂𝘀𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Connect the dots across logs, metrics, and traces to pinpoint problems. 💡 𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗙𝗮𝗶𝗹𝘂𝗿𝗲 𝗣𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻: Analyze trends and predict issues before they occur. What’s the impact? 💡 𝗠𝗧𝗧𝗥 𝗱𝗿𝗼𝗽𝘀 𝗳𝗿𝗼𝗺 𝗵𝗼𝘂𝗿𝘀 𝘁𝗼 𝗺𝗶𝗻𝘂𝘁𝗲𝘀. 💡 𝗦𝘆𝘀𝘁𝗲𝗺 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝘀. 💡 𝗬𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗳𝗼𝗰𝘂𝘀𝗲𝘀 𝗼𝗻 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻, 𝗻𝗼𝘁 𝗳𝗶𝗿𝗲𝗳𝗶𝗴𝗵𝘁𝗶𝗻𝗴. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗵𝘆𝗽𝗲; 𝗶𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗶𝗻 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀.

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Pega V24.1 release is a game-changer, embodying a relentless pursuit of innovation by streamlining automation from end to end and incorporating generative AI technology to further refine development processes. Some of the standout features of Pega V24.1 are: 1. Pega GenAI Blueprint: This feature allows you to build a new application from a Pega GenAI-powered definition. By describing your goals, Pega GenAI Blueprint suggests optimal application designs instantly based on Pega GenAI and a vast repository of workflow best practices. 2. Pega GenAI Autopilot: A powerful feature that revolutionizes process automation in Pega Platform applications. It enables organizations to achieve higher efficiency and productivity by automating complex and repetitive tasks. 3. Pega GenAI Coach: A generative AI-powered mentor for Pega solutions that proactively advises users to help them achieve optimal outcomes. I'm excited to apply these new features to help businesses streamline their processes and achieve their goals. #PegaV24.1 #GenAI

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I've recently completed the Snowflake Data Cloud Deployment Framework badge! The course provided valuable insights into setting up Snowflake for large organizations, especially with multiple business units and lines of business (LOBs). It covered key factors like: • Data architecture to ensure agility, maintainability, and extensibility for business needs. • Data service models - Platform as a Service, Data as a Service and Analytics as a Service between the central and decentralized accounts within the organization. • Best practices for deploying Snowflake efficiently in complex multi region environments with regulatory requirements around geofencing data This knowledge will be crucial for building scalable and resilient data platforms that adapt to evolving business requirements. 💡 #Snowflake #DataCloud #DataArchitecture #DeploymentFramework #DataEngineering #ContinuousLearning

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Closing out 2024 with a milestone. For those building AI/ML systems: solid data engineering is fundamental to creating production-grade AI solutions that deliver tangible value. This was quite challenging but worthwhile. Special thanks to Nikolai Schuler and Julie Elkins from Amazon Web Services (AWS) Skillbuilder team. Here are few things that I found very useful in my learning journey - Design data architectures that scale with growing AI workloads - Build real-time streaming pipelines using MSK, Kinesis and Flink - Create robust ETL workflows with AWS Glue and EMR - Implement efficient data storage strategies using S3, Redshift, and Lake Formation - Orchestrate complex data processing with Step Functions and Airflow #AWS #DataEngineering #GenerativeAI #MLOps #Cloud #ArtificialIntelligence #Technology

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it's nice to get onboard finally. key takeaways from this course are.. 🔑 LLM architecture is well put together by 🤝 Ari Kobren such as embedding, text generation & encoder-decoder model. 🔑 take a deep dive in OCI Gen AI services, foundation models like generation, summarization & embedding. 🔑 customizing models using prompting, RAG or FT to get the desired output. 🔑 building dedicated AI clusters and sizing them for tuning or hosting. 🙏 courtesy Rohit Rahi for making the lesson as easy as it can gets 🔑 RAG which has more potential to make AI based applications in many used cases made easy by Himanshu Raj 👍 🔑 a well crafted demonstration of building a RAG based chatbot was the dessert of the course. courtesy goes to Hemant Gahankari 👍

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Ready to explore the transformative power of #AI and #lowcode? Our webinar, "The Transformative Power of AI and Low-Code," is now available on demand. Watch now to learn about the dynamic fusion of AI and low-code platforms and how it's reshaping the software development landscape.

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With AWS AppConfig's 💪 💪 advanced targeting capabilities (Multi Variant Feature Flag 🏁), you can easily target specific user segments or split traffic when launching new or premium features for your product. Check this video to explore this new feature. https://lnkd.in/eXxBW262 #appconfig #productdevelopment #aws #amazonwebservices #whatsnewataws #awsjunkie #srccodes #awscommunity

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Understanding the core components of an IDP -- An IDP provides organizations with software development tools, frameworks, and services for the entire application lifecycle. It delivers a consistent and unified environment that makes it straightforward for software engineers to launch new applications and services. Additionally, it includes the interface or portal with which they interact. The architecture of an IDP comprehends several essential planes: 1. Admin plane gives administrators control over access and permissions, environment configurations, secrets management, just-in-time access approvals, and budget management. It manages access control policies, sensitive information, environmental parameters, access requests, and budget allocation. It includes a policy manager, secret manager, environment configuration settings, and a cost budgetary component. 2. The user plane is a developer interface that should be efficient and user-friendly, minimizing context switching and errors. It usually includes a catalog for requesting resources. 3. The control plane is the core operational layer. It has several modules for secure and efficient management of various aspects: - The authentication manager handles user authentication and access control. - The observability provides tools for monitoring and troubleshooting. - The audit tracks user activities, ensuring accountability and transparency. - The knowledge manager centralizes organizational knowledge. - The deployment manager handles deployment processes and resource states. - The application configuration manages application-specific settings and configurations. 4. The execution plane includes tools and APIs for executing actions requested by users. It acts as an abstraction layer between the user interface and platform-specific APIs, facilitating scheduling and batch processing. 5. Integrations. The IDP can interact with various external systems and services through APIs or SDKs. It integrates with tools and platforms like Kubernetes, AWS, Google Cloud, and Azure. 6. The enforcer ensures that policies defined in the Admin Plane are applied and enforced. It checks and authorizes every action based on the defined rules and user permissions. 7. The webhook enables bi-directional communication, allowing external systems to trigger automated actions within the IDP based on specific events. An IDP can boost development productivity, accelerate time to market, encourage collaboration, optimize resource utilization, and bolster security and compliance. Streamlining development processes allows DevOps teams to focus on innovation. It also gives engineers a more efficient workflow, improving software quality and fast delivery. This post explores Kubiya.ai's blog article "The Building Blocks of an IDP." For more information, please refer to the source at https://lnkd.in/ez5Cwizd. #internaldeveloperplatform #platformengineering #devops #softwaredevelopment #softwareengineering #cloud #idp

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I am really excited to share that I have successfully completed the ServiceNow #Architecture Excellence Program(ArchX) A four-week intensive journey that has significantly enhanced my skills in enterprise architecture within the ServiceNow platform. The primary objective of this program is to equip architects with the skills and knowledge to navigate the complexities and address potential challenges effectively. Throughout the program, ServiceNow focused on several key areas essential for success in architecting solutions: 🥟 Change Management Plan 🥟 Architecture Blueprint 🥟 Effective Communication 🥟 Business Strategy Development 🎗 Implementation Strategy 🎗 ServiceNow Methodologies 🎗 Data Strategy Best Practices 🎗 Governance and Risk Mitigation #ServiceNow #ArchX #ServiceNowCommunity #Architecture

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I am glad I attended the workshop today for redis and google cloud roadshow Toronto #redisongooglecloud Had some good key takeaways 1. How is redis used in different industries 2. Hands on redis search 3. Hands on using lang chain and building a rag 4. Redis for vector database

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✍ Pleasure to share my 𝟏𝟏ᵗʰ #AWS #Prescriptive #Guidance "𝐑𝐞𝐦𝐨𝐯𝐞 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐂𝟐 𝐞𝐧𝐭𝐫𝐢𝐞𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐀𝐖𝐒 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐬 𝐟𝐫𝐨𝐦 𝐀𝐖𝐒 𝐌𝐚𝐧𝐚𝐠𝐞𝐝 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐃 𝐛𝐲 𝐮𝐬𝐢𝐧𝐠 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧" is published on Amazon Web Services (AWS) and also featured on the #APG home page. !! 📜 Please check and share your feedback - https://lnkd.in/dMGfVBgf 🌐 𝐒𝐮𝐦𝐦𝐚𝐫𝐲 👉 This pattern can help you to configure AWS Lambda automation to quickly find and remove inactive accounts across AWS accounts. 𝐀𝐮𝐭𝐡𝐨𝐫 👉 Tamilselvan P and Dr. Rahul Gaikwad ✍ Thank you Alison Hirsch and Tamilselvan P for your support.! 🙏 #cloud  #aws #amazon #security #cybersecurity #cloudsecurity #devops #apg #pattern #apg #infrastructure #thankyou #development #opensource #contributions #serverless #lambda #microsoft #ad #terraform #hashiconf #automation #blog #writer #solutions #ai #ml HashiCorp Terraform

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Completed a new course on Microservice and Event-Driven architecture. The course provides good insights on different use cases for microservices and even-driven architecture. It covers well known microservice design patterns with real use case explanation. Kubernetes architecture is covered in details with other concepts like observability, monitoring and organizational scalability. The course is very useful for understanding the impact of migrating from monolithic application to microservice architecture and it discusses different approaches for the migration.

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Check out this short lab on CloudFormation. #CloudWhistler #Cloudanaire #AWS #Cloudcomputing #CloudEngineer Ali Sohail Amir Malaeb Daniyal Nadeem Osinachi Okpara Kathryn Jones Kamalpreet KAUR

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Join this session to learn the basics of REST APIs and practical applications across various tools and services, including: Postman, curl, Oracle Database, Data Integration, Oracle Analytics Cloud, and #OCI AI Generative Services. https://lnkd.in/dvCDguFF

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#CloudMQTT will soon reach end-of-life (January 27, 2025) in favour of the better option #CloudAMQP. I used this #MQTT broker in some of my home automation projects. The #freetier of CloudAMQP (Little Lemur) and #LavinMQ (Loyal Lemming) are sufficient enough for personal #IoT projects. I am definitely planning to use this for my next #DIY IoT project. Home🏠 Automation project using #Geofencing, CloudMQTT, #ESP8266 and #MycroPython: Demo: 📺 https://lnkd.in/eTcXihk Article: 📄 https://lnkd.in/gKCaeFWR

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