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What is Elastic APM?

Achieve an in-depth understanding of your cloud-native and distributed applications, spanning from microservices to serverless architectures, which facilitates rapid identification and resolution of core issues. Seamlessly incorporate Application Performance Management (APM) to automatically spot discrepancies, visualize service interdependencies, and simplify the exploration of outliers and atypical behaviors. Improve your application code with strong support for popular programming languages, OpenTelemetry, and distributed tracing techniques. Identify performance bottlenecks using automated, curated visual displays of all dependencies, including cloud services, messaging platforms, data storage solutions, and external services alongside their performance metrics. Delve deeper into anomalies by examining transaction details and various metrics to provide a more comprehensive analysis of your application's performance. By implementing these methodologies, you can guarantee that your services operate efficiently, ultimately enhancing the overall user experience while making informed decisions for future improvements. This proactive approach not only resolves current issues but also fosters continuous improvement in application performance management.

What is AiOpsX?

Deep Text Inspection is a sophisticated solution for detecting anomalies and clustering that utilizes cutting-edge AI to meticulously scrutinize log data, offering prompt insights and alerts. This machine learning technique excels in recognizing new errors, unique risk KPIs, and various other metrics. With its powerful abilities in pattern recognition and discovery, it effectively tracks anomalies across data, risk, and content. The system integrates effortlessly with platforms such as Logstash and ELK, and can be implemented within minutes, significantly enhancing conventional monitoring and log analysis tools with a multitude of intelligent observations. This technology provides solutions for a broad spectrum of challenges, including security, performance, audits, errors, trends, and anomalies. By employing innovative algorithms, it skillfully pinpoints patterns and evaluates risk levels. Additionally, the AiOpsX monitoring engine persistently reviews risk levels and performance metrics to identify outliers, alongside detecting novel types of messages, variations in log volume, and increases in risk levels, which lead to detailed reports and alerts for IT monitoring teams and application owners, ensuring they stay proactive against potential problems. This comprehensive methodology not only boosts operational efficiency but also fortifies the resilience of the entire system, ultimately fostering a more reliable IT environment. As a result, organizations can better anticipate and mitigate risks, enhancing their overall operational capabilities.

Media

Media

Integrations Supported

Elastic Cloud
.NET
AWS Lambda
Amazon Web Services (AWS)
Ansible
C
C++
Go
Google Cloud Platform
Java
Jenkins
Maven
Microsoft Azure
Node.js
OpenTelemetry
PHP
Python
Ruby

Integrations Supported

Elastic Cloud
Logstash

API Availability

API Availability

Pricing Information

$95 per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Not specified

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Elastic

Company Location

United States

Company Website

www.elastic.co/observability/application-performance-monitoring

Company Facts

Organization Name

XPLG

Date Founded

2005

Company Location

United States

Company Website

www.xplg.com/aiopsx-log-intelligence-for-application-monitoring/

Categories and Features

Categories and Features

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