Elastic Observability Reviews & Product Details

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.

Strong out-of-the-box features and dashboards, plus automatic correlations. There’s also a lot of customization available with plenty of options, and the user interface feels intuitive and easy to navigate. Review collected by and hosted on G2.com.

Anomaly detection and categorization can be hard to manage, especially when there’s a high number of unique entities. I also feel it’s missing more built-in dashboards and templates tailored to specific adapters or data sources. Review collected by and hosted on G2.com.

Creating a holistic monitoring experience where metrics, availability, synthetics, alerting available at one place. Review collected by and hosted on G2.com.

Some integrations can be easier like for syntetics we have to go through whole node setup and much more Review collected by and hosted on G2.com.

Elastic Observability stands out for its flexibility and unified view of logs, metrics, and traces, enabling faster troubleshooting and better operational visibility. Review collected by and hosted on G2.com.

Some advanced features require a learning curve, especially for teams new to the Elastic Stack. Review collected by and hosted on G2.com.

I like most about Elastic Observability for monitoring the status of the different components in Work fusion Review collected by and hosted on G2.com.

I didn't noticed any drawbacks or dislikes about Elastic Observability Review collected by and hosted on G2.com.

Real time Monitoring. Detailed insights, logs, and metrics, making it easier to pinpoint and resolve issues, reducing downtime.

Centralize data from various sources, such as logs, metrics, and traces, into a single platform, making it easier to correlate information.

Historical data to identify trends, plan capacity, and make data-driven decisions for optimization and cost-efficiency.

Easy to integrate. Review collected by and hosted on G2.com.

Teams need training to maximize the benefits of observability tools, and finding individuals with expertise in these tools are challenging. Review collected by and hosted on G2.com.

I like one of the best features of the elastic observabilty is the elastic search, which I really enjoyed. This facilitates a rapid search for the necessary logs and provides a wide range of filter options for querying to extract the necessary data from the logs. Review collected by and hosted on G2.com.

Occasionally, findings may not be entirely correct during the fetching process, and there may be extreme delays.

And because there is so much integrated and it is not very user-friendly, I find the experience to be a little challenging. Review collected by and hosted on G2.com.

there are so many features, unfortunately it is overkill. You need to tune your solution for your own needs. Anyone on the IT industry, who is looking for a observability tool needs to try it at least once(POC, Testing).

Elastic defined all the standarts on this observability stack. Review collected by and hosted on G2.com.

Overkill for the details, you need to be preciese about the needs. Otherwise you will get lot of information with no result. The latest AI additions are useless, there needs to be some templating to make things simpler.

Ressource consumption is another downside. You need a real cluster with a lot of fast IO disks. Review collected by and hosted on G2.com.