Elastic Observability Reviews

Name: Elastic Observability
Brand: Elastic
Rating: 4 (24 reviews)

3.9 out of 5

24 reviews
86% 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 7.8 out of 10. 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

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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John_King

Strategic Innovation Specialist at Elastic

Machine learning is the most valuable feature of this solution. Because it is an open, enhanced APR, no custom integrations are required. They're open, so it's an open-wear product that's simple to use and evaluate They need more skills in the market. There are not enough skills in the market. It…

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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 Aug 29, 2024

Valuable Features

Elastic Observability is valued for its powerful search capabilities, unlimited licensing, and cost-effectiveness. It offers comprehensive logging, centralized data management, and integration with other solutions. Users appreciate features such as machine learning, customizable development tools, and stability. Its ability to enhance incident response times and provide real-time transaction monitoring through Kibana is critical. Elastic Observability's flexibility, open-source background, and easy deployment make it indispensable for tracking performance metrics and ensuring data is searchable and maintainable.

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"Elastic team communicated well with us, so we decided to give it a try."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."

Room for Improvement

Elastic Observability needs better automation and AI integration. Licensing and pricing are problematic, while the visualization and dashboard templates require enhancements. Manual processes should be minimized. APM capabilities, customer support, and the offering of pre-defined metrics need improvement. More market skills and better retrieval of logs, metrics, and stack traces are necessary. Its complexity and learning curve are high, and there is a need for improved standardization and scalability, alongside more flexible data scrappers.

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"We did have some issues at the beginning."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

ROI

Elastic Observability is cost-effective and achieves objectives at a lower price. It reduces incidents through automated monitoring and fixes, improving root cause analysis. Data management is streamlined with hot and cold retention policies. It enhances time and efficiency, showing returns in managing data and detecting issues. An organization saved 50% to 60% of time and achieved ROI. Some did not see a return, while others found benefits in data availability and overall performance improvement.

Pricing

Elastic Observability pricing is generally considered affordable compared to competitors like AppDynamics and New Relic. The solution offers open-source components, standard licensing fees, and SaaS options, with variable costs depending on usage. Some users find it very competitive for large enterprises but expensive for smaller organizations. Licensing costs can range from $5,000 to $12,500 annually per node, with an annual cost of around $25,000 for ingesting 30GB daily in the SaaS version.

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

Popular Use Cases

Organizations primarily use Elastic Observability for application performance monitoring, central logging, and system monitoring. They leverage it to analyze data, track metrics, and debug issues across various systems. Users handle login events, monitor infrastructure, and collect logs, often integrating Elastic with Kibana for visualization. It supports both technical and business users, enabling the capture and analysis of transaction data to monitor system stability and inform business decisions.

Service and Support

Elastic Observability's customer service and support are described as helpful, responsive, and highly rated. Many users find the technical support effective, often offering a dedicated resource for personalized assistance. Quick responses and in-depth understanding of customer environments are emphasized. Some rely on comprehensive documentation and community forums, finding these resources valuable. While most feedback is positive, a few users mention areas for improvement. Many users rate their experience highly, expressing satisfaction with the service provided.

Deployment

Initial setup of Elastic Observability can vary in complexity. Users mention it is straightforward but requires proper resources and expertise. It can be easy for Docker installations but challenging for complex environments. Deployment duration ranges from a few weeks to months depending on the environment. Teams often perform gradual implementations, and the setup involves significant administration. For small to medium businesses, it can take up to 15 days, while larger enterprises may need around 30 days.

Scalability

Elastic Observability scales effectively with proper licensing. It's favorable for both small and large user groups, though performance may vary by organization size. Attaching additional nodes and expanding data capture points is straightforward. Users rate scalability between six to ten out of ten, with high efficiency and reliability observed. Various organizations, regardless of user count, find it scalable, with effective cloud integration and adaptability across different instances.

Stability

Elastic Observability stability is praised by users, with many noting it as highly reliable. Some observed no crashes, bugs, or glitches. Performance tests showed impressive results, handling high loads efficiently. Occasional minor issues were mentioned, but users rate stability between seven to ten out of ten. Regular storage monitoring is suggested for optimal performance.

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

University

Energy/Utilities Company

Comms Service Provider

Educational Organization

Construction Company

Media Company

Real Estate/Law Firm

Non Profit

Transportation Company

Outsourcing Company

Legal Firm

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.