IBM SevOne vs. New Relic

The software is handy and really helps us track all the issues that may occur in our network, allowing us to rectify them before any significant problems with our server can arise. It also enhances the overall performance of all our servers and networks, but, as I mentioned earlier, it will take considerable time for a beginner to become familiar with every feature of the software.

Incentivized

I have used New Relic in different scenarios like monitoring my production infrastructure and applications which helps us to reduce the downtime of my applications and websites and also I have used the synthetic monitoring feature which helps to proactively monitor our websites availability. Along with this I have also used New Relic for cloud resources cost monitoring which helps to reduce my cloud cost. Also I have used mobile application monitoring which helps me to trace the sessions easily and I can easily reduce my RCA through the help of that.

Incentivized

• To see trends in network usage, identify upgrade switches, increase bandwidth and cabling
• Provide dashboards to operations, logistics for both warehouse and production managers
• Can integrate into incident systems to auto create tickets when issues happen

Incentivized

• New Relic APM allows us to follow up transactions across services and trace performance bottlenecks in real-time, crucial when monitoring the processing of energy loads or predictive maintenance algorithms.
• It gives us deep visibility into our cloud servers, containers and IOT gateways, so we can catch CPU spikes or memory leaks which can impact the data we ingest from the field devices.
• We develop custom dashboards for monitoring trends of power consumption, abnormality in sensors and API health. In conjunction with alerting, it makes sure we are fixing issues before customers even see them.

Incentivized

• Documentation for the embedded help pages in NMS and more. In my opinion, these do not provide anything of any depth or maybe anything helpful at all. If anything it just seems to be a guide of what actually exists on the page. It is nicely searchable documentation though.
• It is very surprising and disappointing for us to learn that it isn't until the latest version of IBM SevOne that bulk editing was introduced. I think this is such a basic and foundational feature that should have been a part of the original rollout. My team is still trying to configure the REST API.
• It was disappointing for the webinar to start with a speaker who had a thick accent and simply read from slides. To me, it felt hopeless until the second speaker, who was engaging and easy to understand. It's as if this fact wasn't considered. I'm sure the first speaker lost a lot of viewers who didn't stick around to discover the 2nd speaker.
• I asked three different questions during the webinar and none were answered.

Incentivized

• Support for SQL like query with more functional features of analysis while viewing distributed tracing.
• support for very low level specific integration from APIs to classes to functions to piece of code
• More detailed documentation, as we faced issues while integrating for the first time.

Incentivized

The only issue that we have had with New Relic is that the price might be a little expensive for smaller companies. The amount of data you store in New Relic impacts the cost, and can get away from you if you don't work closely with the vendor. Overall though the application is top notch.

Incentivized

The reason fir giving this rating is that New Relic's UI is straight forward, intuitive and easy to navigate which makes its accessible even for new users.It offers real time visibility which helps teams quickly spot problems and understand performance data. Moreover it offers comprehensive monitoring in one place making it easier to mange complex tools

Incentivized

Never observed an outage

Incentivized

there are times where browser cache will cause issues that require you to clear your browser before continuing.

Incentivized

The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed

Incentivized

It's better to start by implementing New Relic in one project and test everything. Try to follow best recommended practices and read all the official documentation. Everything seems well tested. Then, start by installing agents to the rest of your projects and keep a close look to all logs and metrics New Relic gives you.

IBM SevOne was selected instead of Datadog because it is perfect for large insurance networks and also connects trouble-free between the on-premise and cloud environments. Its alerts are in real-time, it offers comprehensive dashboards and it allows to gain a better grip on the network issues, thus helping to keep the downtime small and the operations well managed thanks to the good communication.

Incentivized

Data Dog has solutions that look more attractive, but not at their price point. We have also tried to build a solution straight from the Cloud, where our business is built, but some things are too hard to replicate. This shows that New Relic is useful and helps our efficiency.

Incentivized

Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless

Incentivized

• The software has minimal downtime, which helps us connect with our customers quickly and resolve their issues.
• Automated networks reports that it gives saves a lot of time and resources.
• Setting up and completing the configuration will take more than three months, which is a significant expense at the outset.

Incentivized

• We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
• We were able to identify our slowest database queries and optimize them for quicker response times.

Incentivized