Elastic Observability Reviews & Product Details

I appreciate Elastic Observability for making everything visible with a single dashboard and its ability to monitor my environments effectively. The timeline feature is handy for determining if a problem is connected to a single server or more, which saves time compared to searching on the server itself. What stands out most for me is the AI-powered insights, along with the LLM and Generative AI integrations that enhance its capabilities. I also value the LLM observability, automated pattern detection, and dashboard automation. Plus, the initial setup was very easy and done really fast with just a few individuals. Review collected by and hosted on G2.com.

Dashboard and customization challenges for first-time users. The entire first-time manual setup is pretty time-consuming, also searching through every possible query. If that could be done with an assistant it would save a lot of time. Review collected by and hosted on G2.com.

Its unified visibility across logs, metrics, traces, and security, with powerful analytics and AI-driven insights for faster troubleshooting from beginners to experts Review collected by and hosted on G2.com.

The learning curve can be steep, and some advanced configurations require deeper technical expertise and better documentation and more often releases and bugs are identified Review collected by and hosted on G2.com.

It leans heavily into OpenTelemetry standards. You can ingest telemetry from any source using open formats without getting trapped in proprietary agent vendor lock-in. Review collected by and hosted on G2.com.

Scaling clusters demands heavy memory, CPU, and storage resources, making it expensive for smaller teams. Advanced enterprise features and commercial capabilities require paid subscriptions that can become costly at scale. Review collected by and hosted on G2.com.

No Cardinality Penalties: Unlike competitors that charge extra for high-cardinality metrics or hosts, Elastic avoids custom metric surcharges, lowering costs significantly at scale Review collected by and hosted on G2.com.

Fragmented APM Experience: Because it started as a log search engine and acquired its Application Performance Monitoring capabilities later, the APM interface can feel disjointed compared to "APM-first" platforms like Datadog or Dynatrace. Review collected by and hosted on G2.com.

The unified visibility across logs, metrics, and APM traces makes diagnosing distributed system issues fast and straightforward. Having powerful search capabilities and real-time dashboarding in a single interface saves significant debugging time Review collected by and hosted on G2.com.

The initial setup and index lifecycle management can have a steep learning curve, especially for smaller teams. Additionally, resource consumption can scale up quickly if log retention policies aren't carefully tuned. Review collected by and hosted on G2.com.

I used Elastic Observability to track my GKE infrastructure and everything ran smoothly. I appreciate the APM feature the most because it allows me to see the interaction between the more than 80 pods I have on my GKE. Before using this, tracking logs was a nightmare, but APM makes it easy to see how data travels between pods. This helps me identify which ones need attention. Initial setup was really easy, and overall, I'm very satisfied with its performance. Review collected by and hosted on G2.com.

Maybe there could be more pre-built dashboards to simplify GKE insights. Review collected by and hosted on G2.com.

I like the ease of use of Elastic Observability. It's really easy to set up, which is great. I also appreciate the speed at which it helps identify bugs, making it easier to debug any production issues and fix them. Review collected by and hosted on G2.com.

I dislike the UI. Review collected by and hosted on G2.com.

It’s quite easy to get started with. The fact that Elastic is technology-agnostic makes it straightforward to learn and to integrate with other technologies. For example, I initially began using it through Google’s Cloud Marketplace, but at one point I hesitated because Google Cloud already has a product called Cloud Monitoring. Still, I decided to give Elastic a chance and try it, and honestly, it’s a terrific product. There’s a lot of AI-related functionality, and the fact that it has an MCP server I can use makes it really easy to implement and work with. I now use it daily as part of my job operations.

Regarding support, I have an MSP contract with a company, so I get first-hand support from them, and only the toughest cases are escalated to Elastic. To be completely transparent, once a case reaches Elastic, the process is quite easy and the response is fast. Review collected by and hosted on G2.com.

It’s really hard to have a productive conversation with my manager and other decision-makers about why Elastic is a good choice. For example, most of my company relies on New Relic for observability, so it’s difficult to clearly show the benefits of switching or adding Elastic. Other products have stronger “sales” sites and materials that I can use to compare and contrast, but Elastic isn’t very good at selling the product in a way that helps internally. It’s an amazing product, yet I don’t have an effective way to present its value and benefits to C-level stakeholders. Review collected by and hosted on G2.com.

I find Elastic Observability really helpful for collecting and viewing logs from all of our on-prem servers. The ability to view all logs in one place and monitor server metrics is great. I particularly like being able to view current running processes with Elastic Agent, as it helps a lot when debugging servers and identifying processes that cause CPU usage spikes. The initial setup was very easy and pretty straightforward, which I appreciate. Overall, these features make Elastic Observability a valuable tool for my needs. Review collected by and hosted on G2.com.

It could be overwhelming to view all the logs without any proper filtering for a first time user. Also, there's a bit of a learning curve to know where everything is. Review collected by and hosted on G2.com.

I really like Elastic Observability's ability to provide real-time logs on the fly. It also gives operators a clear view of the system, making it easier to see spikes and act before they happen, which is great for our online gambling operations. It's powerful to know what's happening on both the system and operator side. Review collected by and hosted on G2.com.

I find it challenging when hardware becomes corrupt and we don't have a view on that. It would be helpful to have a process that alerts us, so we don't lose logs before it happens. Review collected by and hosted on G2.com.