Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
SolarWinds Pingdom
Score 9.5 out of 10
N/A
SolarWinds Pingdom is a website uptime monitoring and alert tool, with additional reporting and Real User Monitoring capabilities. Pingdom is part of SolarWinds’s DevOps package, enabling full-stack monitoring as a service.
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.
I believe the scenarios we used it for were quite well covered, from the executive perspective. The downtime alarms worked very well and were easy to setup, uptime monitoring tools were clear and easy to use, even for non-technical people (C-level) and the SLA management tools allowed us to spend less time, and have less friction, with our clients
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.
The PagerDuty integration could be a lot better. When you use the PagerDuty integration, it doesn't send any information about which check failed! It just sends a message like "Timeout (> 30s)" -- this isn't very helpful when we have hundreds of checks. We've worked around this by using both the PagerDuty and Slack integrations and having them both post to the same Slack channel. But this means that when an engineer is paged from PagerDuty, they have to go to Slack (or Pingdom) to find the details about the page; it's not available on the page itself.
Recently added features have made Pingdom less intuitive for our requirements. While Pingdom has a broad offering and remains a good value, it is becoming more than we need. Our customer base is becoming more and more global and Pingdom still lacks Asia-Pacific monitoring, which we will need within a year.
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.
Pingdom is easy to use, very intuitive and has a very short learning curve. From the onset, we've been able to jump in and leverage the tool to accomplish our goals for page speed performance and discover the insights we need to make improvements. Its a well-designed tool and makes for a good user experience.
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.
Support responded the same day to my query, as I was setting the product up but couldn't find the setting I needed. This was successfully resolved in a short time frame, so I was pleased with how quickly we were able to get this resolved. I haven't needed to contact support since.
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.
PRTG Network Monitor was a far more complicated tool to use and set up albeit it does both Internal and External monitoring. The setup wasn't intuitive and there are too many configuration options to complete to form an alert
Amazon CloudWatch is specific to AWS resources and cannot be easily use outside of the AWS Ecosystem
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.
Honestly, we have 4 other products that overlap this functionality whose organizations provide far superior support. At this point it is an unnecessary expense.
In my opinion, their lack of support responsiveness and commitment has impacted our IT agility.
