Elastic Observability Reviews

Name: Elastic Observability
Brand: Elastic
Rating: 4.0 (26 reviews)

4.0 out of 5

26 reviews
88% willing to recommend

What is Elastic Observability?

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

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Elastic Observability is the #4 ranked solution in top Container Monitoring solutions, #7 ranked solution in top Cloud Monitoring Software, #8 ranked solution in APM tools, #9 ranked solution in Infrastructure Monitoring tools, and #13 ranked solution in Log Management Software. PeerSpot users give Elastic Observability an average rating of 8.0 out of 10. Based on the analysis of the 26 most recent Elastic Observability reviews, the overall sentiment is , with a sentiment score of 5.9. (Among the lowest in the category). Elastic Observability is most commonly compared to Wazuh: Elastic Observability vs Wazuh. Elastic Observability is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 22% of all views.

Buyer's Guide

Elastic Observability

November 2024

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Featured reviews

Adelina Craciun

Product Owner at Swisscom

We have our workload in the cloud, and we take the data from the workload, put it in a data lake, and then analyze it. We keep track, build down anomalies, and so on The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they…

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Subramani K

Solution Architect at HCL Technologies

So Elastic is basically clusters, right? Basically three, we can go with the basic cluster is a three note cluster. So the implementation is quite simple. It's not very complex. So we have to architect the solution in such a way that we have the right number of replicas and right number of charts and all those to hold the data. So basically we have to architect based on the data ingestion, how much data we are going to ingest in the cluster. So this setup is pretty simple, but we have to have the right inputs, right decisions in place before we even implement it.

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SRIDHAR KARRA

Chief Operating Officer at Integra Micro Software Services, Bangalore

Right now, I don't have any comments on what needs to be improved because I handle the delivery unit at a CEO's level. So, it's my team who works hands-on and on a day-to-day basis. Hence, they may be the right people to comment on this. The price of the solution can make a 100 percent difference. I think the licensing model may not have major issues because it's only a node-based one or something. However, the customers should first consume the existing features completely because quite a few customers do not use the complete capacity of Elastic's enterprise version. So that's how things are in India right now. The price is the only issue in the solution. It can be made better and cheaper.

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Elastic Observability mindshare

Product category:

As of November 2024, the mindshare of Elastic Observability in the Application Performance Monitoring (APM) and Observability category stands at 6.5%, up from 5.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Key learnings from peers

Last updated Nov 10, 2024

Valuable Features

Elastic Observability's valuable features include unlimited licensing, cost-effectiveness, and performance tracking via metrics. Users benefit from machine learning, centralized logging, and a powerful search capability. Kibana and Elastic Common Search enhance usability. It's open-source, facilitating log collection and analysis. Users appreciate its architecture, stability, and integration with hybrid cloud environments. Real-time transaction monitoring, customizable development, and MSP-friendly scalability are highlighted. The platform's ability to handle alerts and security rules improves system management.

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."
"It is scalable and supports multitenancy, which is beneficial for MSPs."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."

Room for Improvement

Elastic Observability users indicate that improvements are needed in its licensing model and automation capabilities, especially for monitoring and response. The tool demands enhanced system intelligence, control over backend calls, and more comprehensive visualization. Synthetic monitoring, real user services, and easy customization options are lacking. The need for advanced dashboards, proactive analytics, and a simplified interface is highlighted. Additionally, challenges are noted in deployment complexity, skill availability, and pricing transparency. Users seek better AI integration and APM capabilities.

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"One example is the inability to monitor very old databases with the newest version."

ROI

Elastic Observability is viewed as cost-effective and efficient for achieving objectives. Users highlight its role in reducing incidents through automated fixes and enhancing data management. It helps in improving time efficiency and minimizing downtime, contributing to a favorable return on investment. Some emphasize its benefits in data availability and monitoring capabilities, while others note it aids in avoiding breakdowns. However, not all users quantify a financial return, with some departments experiencing variable results.

Pricing

Elastic Observability pricing is favorable for large enterprises over competitors like Dynatrace and New Relic, with standard licensing fees and open-source options reducing costs. Pricing is based on data ingestion, infrastructure, and features. Annual node costs range from $5,000 to $12,500 for self-managed licenses, while SaaS may reach $25,000 for daily 30GB ingestion. Although competitive and cost-efficient for enterprise needs, smaller users may find it expensive, and clarity on pricing remains necessary.

"It is expensive. It is not cheap."
"We have been using the open-source version."
"The product is not that cheap."

Popular Use Cases

Elastic Observability is primarily used for monitoring and analyzing login events, application performance, system stability, server and infrastructure metrics, and business transactions. It aggregates logs and traces from various sources, provides visualization through Kibana, and assists in debugging and troubleshooting. Users leverage it for centralized logging, reporting, and integrating monitoring tools such as OpenShift. It supports diverse teams in tracking data points and monitoring network protocols like NetFlow and SNMP.

Service and Support

Elastic Observability’s customer service is commendable, with users highlighting prompt and effective technical assistance. Many receive swift responses, often within a day, and appreciate dedicated support resources that understand their environments. There's praise for community forums and documentation, alleviating the need for extensive support interactions. Some users have not needed support due to stable operations and internal expertise. However, a few suggested areas for improvement. Overall, users rate their experiences positively, with scores ranging from 8 to 10 out of 10.

Deployment

Elastic Observability's initial setup varies in complexity. Some users find it simple and straightforward, especially for Docker or single-cluster environments, while others encounter challenges requiring significant resources and expertise, particularly in complex or large-scale environments. Deployments typically require planning, especially in multi-cluster scenarios. Gradual implementation strategies are common, focusing on critical apps first. Technical teams often consist of development and IO specialists. Manual configuration is sometimes necessary, but cloud deployments are generally easier due to better documentation.

Scalability

Elastic Observability exhibits strong scalability, suited for small entities with cloud models and limited use of Kubernetes. Users find it efficient, reliable, and capable of managing data effectively, although optimal scalability requires certain subscriptions. Organizations note scalability as a notable feature, with the ability to expand both horizontally and vertically. It efficiently accommodates hundreds of app developers and users, yet some note an ongoing evaluation in scaling up capabilities. Ratings vary, reflecting user-specific experiences.

Stability

Elastic Observability is frequently mentioned as stable, with numerous users rating it high in terms of reliability. Instances of crashes, bugs, or glitches are rarely reported. Some users experience occasional minor stability issues but generally report positive performance and responsiveness. Several emphasize proper configuration and monitoring. Many rate it between eight and ten out of ten, reflecting overall satisfaction with its stability, including seamless integration and data handling capabilities across diverse environments.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

15%

Manufacturing Company

Government

Healthcare Company

Retailer

Insurance Company

Energy/Utilities Company

University

Comms Service Provider

Educational Organization

Construction Company

Media Company

Real Estate/Law Firm

Non Profit

Transportation Company

Legal Firm

Outsourcing Company

Wholesaler/Distributor

Hospitality Company

Logistics Company

Recreational Facilities/Services Company

Performing Arts

Aerospace/Defense Firm

Compare Elastic Observability with alternative products

Learn more about Elastic Observability

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.