New Relic vs. Redgate SQL Prompt

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

If you're working with MSSMS or anything that writes SQL you will want this.

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• 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.

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• Color code tabs based on connected server
• Find joins easily
• Find tables easily
• code suggestions
• Format sql

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• 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.

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• maybe licensing. I believe they went to a subscription based license and you have to renew each year. Would like it if you purchased it and paid for maintenance

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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.

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I have given this much rating as I am used New Relic in different sectors and for different use cases like its K8s monitoring, infra monitoring, full stack monitoring as compare to other tools New Relic gives data in a formatted and connected way, and also it is giving us value for money. It also launches new features day by day which helps users to track the issue very quickly. It also supports OTel integrations which is the latest trend of observability tools. thats why I had given this much rating to New Relic.

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It's easy to use and not that hard to understand

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Never observed an outage

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

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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

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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.

New Relic has full stack visibility and gives us all options for observability like one stop shop. It gives you front end, backend as well synthetic monitoring capabilities. Every other feature built into one cost model (usually) which ties to data that you send, it helps you leverage all features without having to pay additional charge for feature

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

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• 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.

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• It speeds up writing queries and finding relationships in the db.
• It helps with keeping connections separate when dealing with multiple servers

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