Monitoring Cloud Resources Using Tools like CloudWatch and Datadog for Real-time Insights

Anil Kumar Manukonda

doi:10.71097/IJSAT.v13.i2.2811

Monitoring Cloud Resources Using Tools like CloudWatch and Datadog for Real-time Insights

Author(s)	Anil Kumar Manukonda
Country	United States
Abstract	Organizations that depend on cloud infrastructure need cloud resource monitoring as a fundamental element to ensure reliable applications alongside excellent performance at reasonable costs. This research investigates the capabilities and real-time operating insights and integrative strength between two monitoring solutions namely Amazon CloudWatch and Datadog. Cloud environments require strong monitoring solutions to monitor performance levels together with anomaly spotting capabilities that trigger proactive troubleshooting measures before problems affect end users. CloudWatch delivers peak performance in managing AWS-native environments through cost-effective monitoring solutions, but Datadog stands out with extensive support across multiple clouds and its numerical data analysis features. Organizations must conduct assessments of their individual requirements alongside their network complexity and budgetary matters before choosing monitoring solutions. The findings indicate that suc-cessful cloud resource monitoring requires tools with appropriate measurements that execute automatic repairs to achieve peak operational efficiency.
Keywords	Cloud Monitoring, Amazon CloudWatch, Datadog, Real-time Monitoring, Infrastructure Monitoring, Application Performance Monitoring (APM), Log Management, Metrics Collection, Dashboards, Alarms, Event-based Responses, Resource Optimization, Multi-cloud Support, Hybrid Cloud, Distributed Tracing, Anomaly Detection, Security Monitoring, Network Performance Monitoring, Real User Monitoring (RUM), Integration Capabilities, Kubernetes Monitoring, Serverless Monitoring, Cost Optimization, Predictive Analytics, Machine Learning Integration, Observability Platforms
Field	Engineering
Published In	Volume 13, Issue 2, April-June 2022
Published On	2022-04-06
Cite This	Monitoring Cloud Resources Using Tools like CloudWatch and Datadog for Real-time Insights - Anil Kumar Manukonda - IJSAT Volume 13, Issue 2, April-June 2022. DOI 10.71097/IJSAT.v13.i2.2811
DOI	https://doi.org/10.71097/IJSAT.v13.i2.2811
Short DOI	https://doi.org/g899fw

View / Download PDF File

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4 Cover Page Vol 15 Isu 3 Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Monitoring Cloud Resources Using Tools like CloudWatch and Datadog for Real-time Insights

Share this