Digital.ai Agility vs. New Relic

Scenarios where it works well: 1) Retros can be very well facilitated & notes/action items
can be captured against the sprint. 2) Product Owner can effectively track the story
progress with all the test-cases, design etc. 3) Being good scaling support, it provides good visibility
across multiple teams, programs and agile portfolios, providing a centralized
environment where all our stakeholders can easily work together regardless of location. 4) It provides easy tracking all of your epics,
stories, themes, defects, tasks, tests and issues 5) I like its intuitive UI as for moving stories
around, burning hours. 6) It allows top leadership to visualize
and report their strategic plans, giving all stakeholders the relevant data
that they need to stay dedicated to the project priorities. 7) It can be easily integrated with slack
so for few teams we used slack for collaboration Scenarios where it did not work well: 1) Test Management need improvement in
terms of tracking tests, team had hard time tracking regression test cases. 2) Version one comes with lot of features like
Rally but here we don’t get customizations which is there in Jira where from workflow
to issue everything can be customized based on your team/program/portfolio
requirements. 3) Lot of navigation to access basic
stuff. Example I want to go to bug attachment , there are lt of clicks &
navigation need to do which should be pretty straightforward I feel.

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New Relic its an excellent tool for monitoring services used on the SAAS universe, like web servers, relational and nosql dbms, reverse proxies, text databases, etc. Its also a powerful tool to monitor resource usage on said servers. However, its not well fitted to monitor custom services - if you need to generate alerts based on logs or database information, for example

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• Automated saving of changes, no records can be lost because all items are saved in real-time.
• The watch function, optional but beneficial when managing multiple teams or projects.

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• It gives us insights of applications, infrastructure, clouds very well.
• The alerting system in New Relic helps us to easily identify the root cause which reduces the MTTR.
• It has new features related to AI which helps to troubleshoot any problem in a very short time it gives future predictions also.

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• Although Digital.ai Agility supports customizations, they can be somewhat cumbersome to set up and maintain
• The Analytics engine's user experience for digging into the data does not have the same feel as the rest of the system and, as a result, can be hard to work with

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• And while powerful, building tailored dashboards with organ-specific metrics (such as energy load variance across regions) can be difficult to navigate. The UI isn't as drag-and-drop easy, and query-based widgets typically involve some trial and error for non-devs.
• Alerts may be hypersensitive or over general. I We often get a spam of non-critical alerts while doing load testing, all overhauling to me alone and making it difficult to identify actual issues especially in energy systems where spikes are very common.
• With our expanding fleet of Iot devices, the per-host pricing model is becoming expensive, quickly. More detailed billing based on microservices, or that works at sensor level, would make it more adaptable for energy platforms.

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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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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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VersionOne provides outstanding training. They have Product Owner training that I recommend every Product Owner attend. They have scrum master training and other agile training that was well worth the money paid because it made the teams more productive. And the support for the tool is incredible. These people live and breathe Agile and are evangelists and enthusiasts.

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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.

JIRA appears to be more extensible with the ability for Scrum, Kanban, bug/incident tracking, and the ability to customize dashboards. However, VersionOne's performance over the same teams is extremely fast in comparison and therefore allows users to be more productive over the same amount of time.

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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.

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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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• It has made it easier to implement Agile processes. Since our team is fairly new to Agile, this has been extremely helpful.
• Our organization is quickly growing, and V1 has made it easier for new hires to look at everything that our team has in the works.

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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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