Operational Loki For Log Aggregation
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Operational Loki for Log Aggregation
"Operational Loki for Log Aggregation" "Operational Loki for Log Aggregation" is a comprehensive and authoritative guide for engineers, architects, and SREs looking to master log aggregation with Grafana Loki. The book delves into modern log aggregation architectures, contrasting centralized, distributed, and event-driven models, while providing an in-depth exploration of Loki’s microservices architecture, labeling strategies, and unique operational workflows. Readers are equipped with a solid foundation in data modeling, ingestion paradigms, and an insightful comparison of Loki with other leading log stacks such as ELK and PLG, ensuring a clear understanding of the evolving standards and best practices in log management. This volume provides actionable blueprints for Loki deployment across diverse environments, including Kubernetes, Docker, cloud-native platforms, and traditional bare metal. Covering topics from high availability, infrastructure automation using tools like Terraform and Helm, to advanced scaling and migration strategies, the book is a complete lifecycle manual. Extensive treatment is given to log collection pipelines, including Promtail and alternative agents, performance tuning, security considerations, compliance, and end-to-end governance, empowering readers to build robust, secure, and highly available log aggregation systems. Beyond technical implementation, "Operational Loki for Log Aggregation" explores advanced querying with LogQL, operational monitoring, alerting, and observability, along with extensibility through custom plugins, machine learning, and real-time event workflows. Case studies of large-scale deployments, incident retrospectives, and forward-looking trends offer practical insights and strategic guidance. Whether integrating with SIEM systems, supporting multi-tenancy, or preparing for edge and serverless futures, this book is an indispensable resource for organizations committed to operational excellence and a culture of observability.
FaaS-netes Deployment and Operations
"FaaS-netes Deployment and Operations" "FaaS-netes Deployment and Operations" is the definitive guide to deploying, managing, and optimizing serverless workloads on Kubernetes. Designed for cloud engineers, architects, and DevOps professionals, this comprehensive resource demystifies the fundamentals of Function-as-a-Service (FaaS) in the Kubernetes landscape, bridging the gap between commercial FaaS offerings and open-source, cloud-native implementations like Knative, OpenFaaS, Kubeless, and Fission. Through expert explanations, the book systematically covers architectural components, event-driven programming models, and real-world workload patterns, equipping readers with a deep understanding of how serverless paradigms are evolving within enterprise and multi-cloud environments. The book delves into the practicalities of execution environments, autoscaling, function lifecycle management, and multi-tenancy—all essential for building robust, secure, and resilient serverless platforms. Readers learn to architect efficient deployment pipelines using tools like Helm, Kustomize, Terraform, and Crossplane; they explore advanced networking, ingress management, and observability enabled by contemporary service mesh, monitoring, and tracing solutions. Emphasis is placed on security and policy enforcement—covering runtime secrets, RBAC, artifact integrity, compliance, and tenant isolation—to ensure that serverless workloads remain trusted, compliant, and auditable at scale. Beyond operational best practices, "FaaS-netes Deployment and Operations" confronts the frontiers of performance optimization, cost management, and hybrid cloud integration in FaaS-netes, addressing challenges such as cold starts, multi-cluster deployments, edge FaaS, and emerging trends like WebAssembly. The book culminates with in-depth case studies and forward-looking perspectives, offering invaluable lessons from real-world implementations, integration of AI/ML in serverless workflows, and future projections for the Kubernetes-powered serverless ecosystem. This authoritative reference is essential for anyone interested in driving innovation with serverless technologies across dynamic, cloud-native infrastructures.
Soft Computing and Signal Processing
Author: V. Sivakumar Reddy
language: en
Publisher: Springer Nature
Release Date: 2023-06-26
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.