Elastic Observability Room for Improvement

Subramani K - PeerSpot reviewer
Solution Architect at HCL Technologies

Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included.

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AR
Managing Director at a tech vendor with 10,001+ employees

It could come with more detailed or sophisticated dashboards that are pre-defined and that could speed up when you start looking at the data of the transactions. If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful.

I would like to see an automated deploy tool, like Dynatrace has, that would allow you to have the parts of the system where you want to do the observability and they would deploy very quickly and kind of outer connect with the systems.

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JN
IT Manager at Software Gurus

Elastic Observability needs to improve the retrieval of logs and metrics from all the instances. In an on-premise environment, the solution's data scrappers should be more flexible and simple to configure.

I would love to have the stack trace of the requests. For example, I want to track a request across all the environments and all the services we have.

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Buyer's Guide
Elastic Observability
March 2024
Learn what your peers think about Elastic Observability. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.
SRIDHAR KARRA - PeerSpot reviewer
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 - PeerSpot reviewer
Strategic Innovation Specialist at Elastic

They need more skills in the market. There are not enough skills in the market.

It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base. 

The development of new features, functions, and releases, is not necessarily based on market demand. Which is why I can't rate it a 10 because of that. 

In my opinion, because there are not enough skills, the skills are still expensive. The software and the platform may be affordable, but the skills to deploy and manage it are expensive.

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MB
Principal Reliability Engineer at a retailer with 10,001+ employees

Elastic Observability needs to have better standardization, logging, and schema. 

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Rami Alaa - PeerSpot reviewer
SRE at Thiqah Business Services

Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial.

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NH
Data Engineer at a financial services firm with 10,001+ employees

Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage. 

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SM
Managing Director at a tech services company with 11-50 employees

The interface could be improved. Currently, the aspect that impresses me the most is the AI functionality. However, the pricing for the AI-powered APM feature is quite steep.

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AA
Chief Revenue Officer at a media company with 11-50 employees

There is room for improvement regarding its APM capabilities.

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HamadaElewa - PeerSpot reviewer
Technical Sales Manager at Spire Solutions

There could be on-site support services available in the Middle Eastern region. Also, more web features could be added to the product.

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MN
DevOps consultant at Africa4Data

Elastic Observability’s price could be improved.

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Enio Moraes - PeerSpot reviewer
Product Director at a tech services company with 501-1,000 employees

There could be more low-code features included in the product. They should improve the machine learning system. Additionally, more features should be related to LLM. 

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AB
Lead Software Engineer at Glastechnische Industrie Peter LISEC GmbH

Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira. 

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Erika Loots - PeerSpot reviewer
DevOps engineer at Telesure Investment Holdings (TIH)

Using this solution is quite complex and there's a steep learning curve if you've never used it before. 

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RT
Technical Consultant at a manufacturing company with 5,001-10,000 employees

In terms of what could be improved, Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low. Their JVM metrics are much less while running on CPU memory and on top of that you get a thread usage. They're not giving much on application performance metrics. In that respect, they have to improve a little bit. If you compare that with other tools, such as New Relic, which is also not giving many insights, it would be good to get internal calls or to see backend calls. We are not getting this kind of metric.

On the other hand, if you go to the trace view, it gives you a good backend calls view. That backend call view is also capturing everything, and we need some kind of control over it, which it does not have. For example, if I don't want some of the sequence selected, there should be controls for that. Moreover you need to do all these things manually. Nowadays, just imagine any product opted to do conservation manually, that would be really disastrous. We don't want to do that manually. For now this needs to be either by API or some kind of automated procedure. If you want to install the APM Agent, because it is manual we would need to tune it so that the APIs are available for the APM site. That's one drawback.

Additionally, the synthetic monitoring and real user monitoring services are not available here. Whereas in New Relic the user does get such services.

The third drawback I see is the control site. For now, only one role is defined for this APM. So if I want to restrict the user domain, for example, if in your organization you have two or three domains, domain A, domain B, domain C, but you want to give access to the specific domain or a specific application, I am not sure how to do that here.

Both the synthetic and process monitoring should be improved. For the JVM, Java Process Monitoring, and any process monitoring, they have to have more metrics and a breakdown of the TCP/IP, and the tools are giving me - they don't provide many metrics in size. You get everything, but you fail to visualize it. The New Relic only focuses on transactions, and Elastic APM also focuses on similar stuff, but I am still looking for other options like thread usage, backend calls, front end calls, or how many front end and backend calls. This kind of metric is definitely required.

We don't have much control. For example, some backend calls trigger thousands of prepared statements, update statements, or select statements, and we don't have any control. If I only want select statement, not update statements, this kind of control should be there and properly supplied. The property file is very big and it is still manual, so if you want control agent properties you need UI control or API control. Nowadays, the world is looking for the API site so they'll be able to develop more smartly. They are looking for these kinds of options to enrich their dashboard creation and management.

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SJ
Enterprise Monitoring / Data Protection Manager at a healthcare company with 1,001-5,000 employees

The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome. 

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Samuel Schubert - PeerSpot reviewer
Team Lead Transformation at rku.it GmbH

The cost must be made more transparent. Sometimes, we create a cost plan, but it doesn’t match.

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Mustafa Husny - PeerSpot reviewer
Senior System Engineer at Techline-eg

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. 

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MC
Line Technical Agent at a comms service provider with 1,001-5,000 employees

Our licensing model isn't a full one. We are in a less interesting model, so we do not have intelligence on it. We don't get system intelligence and machine learning models, however, I don't know if it is relevant to what we use the solution for. 

We don't have the platinum version. We are on the gold version. Our system intelligence and machine learning, and the other things regarding the competencies of everything, we have to build ourselves. It's not easy, as we are in West Africa and sometimes we do not have the relevant competencies. It takes time to get the skills we need to use the solution effectively.

The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities.

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AG
SDE-IV at a tech company with 1,001-5,000 employees

There needs to be less boiler code. That's where I see a solution such as Dynatrace as being very good. We need to just deploy the Dynatrace and then it just uses all the TCP packages et cetera, to figure out what the endpoint to endpoint mapping is. It can give more insight into performance.

I can see mistakes in annotations. If a developer uses a different annotation, these performance metrics are not in the portal. When I go to the portal, I do not see many insights on the endpoints or where there could be latencies. I'd like overall fewer mistakes.

The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages.

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MS
Solutions Architect at a computer software company with 1,001-5,000 employees

In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana.

Elastic APM needs to focus on improving infrastructure, monitoring, and enriching Kibana features.

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Buyer's Guide
Elastic Observability
March 2024
Learn what your peers think about Elastic Observability. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.