Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Nagios XI
Score 8.5 out of 10
N/A
Nagios XI is an Enterprise Server and Network Monitoring Software, built on Nagios Core and designed to comprehensive application, service, and network monitoring in a central solution. Nagios XI is available in two different editions: Standard Edition and an Enterprise Edition. The Enterprise Edition provides users with additional functionality and includes features that are designed to aid in…
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
If anyone looking for the monitoring system for the infrastructure this is the go-to tool which monitors all infrastructure related components from server health to Networking and update us with mails and can be easily integrated with multiple other tools as needed for example PagerDuty , Also this suits good both on premises and cloud environments as well. If we are managing complex environment this tool for monitoring is best one.
As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
This tool has been has been of great use and learning , offering exceptional ease of use, scalability, and detailed reporting. It has a lot of customization options and proactive monitoring which have significantly improved our infrastructure management.It's UI & functions are good. Also has built in templates for various end points.It also provides graphical reports. With a Dashboard you can monitor easily
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
We are using Nagios XI in our organization primarily for monitoring all our application servers and databases, this is helping us in addressing all the infrastructure issues in advance by alerting us when it any server hits the threshold as per the initial parameter setup also it has free tier which helps for small scale applications monitoring to save some expenses.
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
I have been participated in the few implementations, and I would say its bit complex when its come to initial setup once its set post that its easy to manage
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
Cost efficiency is the main reason which we opted [for] Nagios as we were previously using IDERA tool with comprehensive database monitoring solutions, but the slow performance we are getting while monitoring the instance of the database.
We have installed Nagios XI for our monitoring system and with this we are managing around 600 servers in total and not seen any major issues with its scalability we can scale it as much as we require and also installed on various applications servers and working as expected
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
