A blog site on our Real life experiences with various phases of DevOps starting from VCS, Build & Release, CI/CD, Cloud, Monitoring, Containerization.
Data integration plays a huge role in modern data management. With the increasing amount of data flowing into organizations from multiple sources, it’s essential to have a streamlined way to bring everything together. That’s where ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) come into play. These are the two main approaches to handling and integrating data.
Continue reading “ETL vs. ELT: Which Data Integration Approach is Right for You?”
Logs provide a detailed record of events, errors, or actions happening within applications, servers, and systems. They help developers and operations teams monitor systems, diagnose problems, and optimize performance.
However, manually sifting through large volumes of log data is time-consuming and inefficient. This is where Python comes into play. Python’s simplicity, combined with its powerful libraries, makes it an excellent tool for automating and improving the log analysis process. Continue reading “How to Use Python for Log Analysis in DevOps”
Cloud migration and application modernization have become essential for businesses that aim for greater agility, scalability, and cost savings.These strategies represent a significant change in the way organizations develop, deploy, and manage their applications.However, simply moving applications to the cloud or rewriting them without adjusting underlying processes can waste opportunities and increase complexity. Continue reading “Step-by-Step Guide to Cloud Migration With DevOps”
Samurai are powerful warriors. We also need the same power in our infrastructure to get Control over Security threats over IP or URL Redirect attacks. So let me introduce to you the AWS Managed Firewall.
In MNCs, we have separate Network and Security teams – which is good by the way. They have the proper tool to block incoming or outgoing traffic. For this, they set up a firewall on their side which helps them establish a Network Control Centre. Continue reading “AWS Firewall- Samurai Warriors”
Deploying Kafka on Kubernetes with Strimzi has quickly become the industry-standard approach for building scalable and production-ready data streaming platforms. As modern applications generate massive volumes of real-time data, organizations need a reliable, flexible, and automated way to manage Kafka clusters. Kubernetes provides the perfect foundation with its built-in orchestration, scaling, and self-healing capabilities, making it ideal for running stateful distributed systems like Kafka.
Event streams are similar to digital root systems in business, capturing real-time data from multiple sources for further processing and analysis. Continue reading “Kafka on Kubernetes Made Easy with Strimzi (Step-by-Step Deployment)”
