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WizWiz introduces a novel strategy for cloud security by identifying critical risks and potential entry points across various multi-cloud settings. It enables the discovery of all lateral movement threats, including private keys that can access both production and development areas. Vulnerabilities and unpatched software can be scanned within your workloads for proactive security measures. Additionally, it provides a thorough inventory of all services and software operating within your cloud ecosystems, detailing their versions and packages. The platform allows you to cross-check all keys associated with your workloads against their permissions in the cloud environment. Through an exhaustive evaluation of your cloud network, even those obscured by multiple hops, you can identify which resources are exposed to the internet. Furthermore, it enables you to benchmark your configurations against industry standards and best practices for cloud infrastructure, Kubernetes, and virtual machine operating systems, ensuring a comprehensive security posture. Ultimately, this thorough analysis makes it easier to maintain robust security and compliance across all your cloud deployments.
What is Splunk AppDynamics?
Splunk AppDynamics brings together observability, business analytics, and runtime security to create a unified platform for managing hybrid and on-prem application environments. Designed for enterprises with complex infrastructures, it correlates application, transaction, and end-user data with business metrics, ensuring that performance improvements translate directly into measurable business outcomes. The platform excels at anomaly detection and root cause analysis, powered by AI and ML baselining that continuously learns and adapts to system behavior. It supports monitoring of critical SAP and non-SAP workflows, enabling organizations to trace issues to the deepest levels of ABAP code or database queries while maintaining business continuity. AppDynamics extends observability across APIs, SaaS, ISPs, and third-party services, offering a full view of network and infrastructure dependencies. For security, it integrates runtime protection, proactively blocking attacks and ensuring compliance with enterprise standards. With Digital Experience Monitoring, organizations gain end-to-end visibility into customer journeys across web, mobile, and synthetic environments. Flexible data collection through agents or OpenTelemetry ensures seamless integration into existing architectures. By preventing costly outages and optimizing resources, AppDynamics has demonstrated tangible ROI, saving enterprises millions while improving user satisfaction. It’s a solution built for businesses that need to unify performance, security, and business impact in one platform.
What is Amazon Lookout for Metrics?
To effectively detect irregularities in business metrics, it is crucial to minimize false positives through the application of machine learning (ML). By clustering similar outliers, one can delve into the root causes of these anomalies for a thorough examination. Summarizing these underlying issues and ranking them based on severity ensures that organizations can address the most critical problems first. The integration with AWS databases, storage solutions, and third-party SaaS applications enables ongoing monitoring of metrics and anomaly detection. Additionally, implementing customized automated alerts and responses when anomalies are detected boosts operational efficiency significantly. The Lookout for Metrics tool employs ML to automatically identify anomalies in both business and operational data, while also uncovering their root causes. Detecting unexpected anomalies poses a challenge, especially since conventional methods typically depend on manual processes that often introduce errors. Lookout for Metrics alleviates this complexity, empowering users to identify and analyze data inconsistencies without specialized knowledge in artificial intelligence (AI). Furthermore, this tool enables the monitoring of unusual variations in subscriptions, conversion rates, and revenue, promoting a proactive stance against sudden market shifts. By harnessing sophisticated machine learning approaches, businesses can greatly enhance the precision of their anomaly detection endeavors, ultimately leading to better decision-making and more resilient operations. This strategic application of technology thus not only improves detection but also fosters a culture of continuous improvement within organizations.
Integrations Supported
Amazon CloudWatch
Amazon S3
Azure Marketplace
Azure Spring Apps
Edge Delta
Evolven
Faddom
HCL MyXalytics
Harness
ITRS Load Testing
Integrations Supported
Amazon CloudWatch
Amazon S3
Azure Marketplace
Azure Spring Apps
Edge Delta
Evolven
Faddom
HCL MyXalytics
Harness
ITRS Load Testing
API Availability
Has API
API Availability
Has API
Pricing Information
$6 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Cisco
Date Founded
1984
Company Location
United States
Company Website
www.splunk.com/en_us/products/splunk-appdynamics.html
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/lookout-for-metrics/
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
IT Management
Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring
Mobile App Analytics
A/B Testing
Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Push Notifications
Retention Tracking
Revenue Tracking
Uninstall Tracking
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization