Likelihood to Recommend 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.
Read full review Well suited for cases where you just need to alert relevant team members when alerts and incidents come in and make sure that nothing falls through the cracks. Generally OpsGenie just forwards the alerts it receives and allows you to schedule team members to be on-call. It's good for that simple use case and extra helpful if you have
Jira or
Atlassian Open DevOps since it has nice integrations with those platforms and you can easily monitor ticket progress. If you don't have those, it would be good to check and see if they integrate with whatever you use to track tickets or bugs. The dashboarding and analytics are relatively basic so if you're looking for extensive and highly customizable analytics, this might not be the right solution.
Read full review Pros 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. Read full review Notifying through all the possible way like sms,mail and call. Ita shows the activity log it is usefull when your paging team through the incident through that you can check who has acknowledged or not. Notify the alerts to engineer as well as you can also add the description about alerts related what is it. Here you can schedule for on-call engineers Read full review Cons Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs Schema changes require complete reindexing of an index Read full review OpsGenie New Jira design has made it difficult for those not familiar with that style. OpsGenie could benefit from nested escalation flows for team schedules. Creating a product alert that uses and Tech Schedule as well as an Incident Manager Schedule that already exists would create less overhead and ease management. Read full review Likelihood to Renew We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
Read full review Usability 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.
Read full review Support Rating 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.
Read full review They are fully available at all times via chat, phone, or email and follow up thoroughly.
Read full review Implementation Rating Do not mix data and master roles. Dedicate at least 3 nodes just for Master
Read full review Alternatives Considered 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.
Read full review We also looked at
PagerDuty but decided to go with OpsGenie as it had more features on the plan we needed compared to
PagerDuty which would have required us to spend a lot more for what we felt were non-premium features. Everything felt like an add-on - automation for an additional $20 a user per month seemed like a lot on top of the base plan
Read full review Return on Investment 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. Read full review Time savings with configuration of on call schedules and personnel. Quick and easy to make changes on short notice. We have essentially eliminated the dropped/missed call complaints which used to be routine. Now customers are quickly connected to us hassle free. Read full review ScreenShots