Tag: microservices
The Future of Observability: Predictive Root Cause Analysis Using AI
Karthikeyan Uthirapathy | | AI in DevOps, AI observability, AI-driven RCA, AI-powered monitoring, anomaly correlation, anomaly detection, artificial intelligence, automated incident response, cloud environments, devops, distributed systems, intelligent observability, kubernetes, logs metrics traces, machine learning, microservices, observability tools, Predictive Analytics, predictive monitoring, predictive root cause analysis, proactive observability, rca, self-healing systems, system reliabilityIn the past few years, systems have become more complex than ever. Microservices, Kubernetes, cloud environments and distributed application programming interfaces (APIs) have changed how we build and manage software. However, this complexity has also made it harder ...
5 Pillars of Successful Web App Development
Roman Davydov | | app development best practices, app performance, cloud hosting, cross-platform compatibility, custom web apps, devops, digital transformation, Enterprise software, Itransition, microservices, responsive design, scalability, secure coding, software development, user-centric design, UX design, web app development, web architecture, web securityToday, building a high-quality and competitive web application requires more than just clean code, a user-friendly UX and good development practices. The success of such a project also hinges on creating a strategic approach and prioritizing components ...
7 Best Practices to Monitor Your Microservices
Effective monitoring isn't a single thing; it's a synergistic approach built on three foundational pillars. Neglect even one, and you're flying blind. ...
Simplifying Authorization at Scale: The Importance of DevOps Workflows with Flexible, Scalable and Secure Access Control
Rakan AlZagha | | access control, Authorization-as-a-Service, cloud-native security, devops, microservices, policy as code, scalable authorizationDevOps has transformed how developers build, deploy, and manage infrastructure and applications, making automation, scalability and rapid iteration core to modern development workflows. While much of the software delivery process has evolved, authorization ...
From One Big System to Many Small Ones: Our Microservices Story
Hayk Ghukasyan | | automation platform, continuous deployment, Kafka Messaging, microservices, monolithic architecture, Observability Stack, scalabilityMicroservices offer flexibility, but they also introduce additional management complexities. Start small. Monitor everything. Plan for failure. ...
Developing Software That Solves Real-World Problems – A Technologist’s View
Vijay Pahuja | | Cloud Computing, event-driven architecture, fintech innovation, healthcare technology, microservices, real-world problem solving, software architecture, software developmentSolving real-world issues with software is not only about creating the biggest and the best system, but creating the right one ...
AI-Driven Microservices: The Future of Cloud Scalability
AI-driven microservices represent more than an incremental improvement — they are a fundamental shift in how we approach distributed systems ...
Mastering the Art of Troubleshooting Large-Scale Distributed Systems
Mohan Sitaram | | Large-scale distributed systems, microservices, Monitoring and observability, system architectureAs distributed systems continue to evolve and grow in complexity, the ability to troubleshoot effectively will remain a critical skill for engineers and system administrators ...
How to Migrate an Observability Platform to Open Source
Hemant Sachdeva | | application architecture, how-to, microservices, migration, observability, open source, OpenTelemetry, telemetryMigrating to an open source stack gives you control over telemetry data and reduces observability costs. Here's how to do it with open source ...
Why GraphQL is a Better Choice for Building Microservices
Santhosh Krishnan | | GraphQL, GraphQLAdvantages, GraphQLForMobile, GraphQLJava, GraphQLMicroservices, GraphQLNPlus1Problem, GraphQLSpringBoot, GraphQLVsREST, microservices, RESTThere's been a long debate about whether it's better to use REST or GraphQL for building microservices. Both technologies have their proponents and critics, but when it comes to the specific needs ...
The Evolution of DevOps
In the dynamic landscape of technology, DevOps is a beacon of efficiency, collaboration and continuous improvement ...
Best of 2023: 5 Microservices Design Patterns Every DevOps Team Should Know
Gilad David Maayan | | appdev, application development, cloud-native application development, devops, microservicesUnderstanding and applying these five key microservices design patterns can help you design more scalable, reliable and maintainable applications ...
