Atlassian Jira is a project management tool, featuring an interactive timeline for mapping work items, dependencies, and releases, Scrum boards for agile teams, and out-of-the-box reports and dashboards.
$81.85
per month 10 users
ScienceLogic SL1
Score 8.4 out of 10
Enterprise companies (1,001+ employees)
ScienceLogic is a system and application monitoring and performance management platform. ScienceLogic collects and aggregates data across and IT ecosystems and contextualizes it for actionable insights with the SL1 product offering.
N/A
Pricing
Atlassian Jira
ScienceLogic SL1
Editions & Modules
Standard
$8.15
per month per user (minimum 10)
Premium
$16
per month per user (minimum 10)
Data Center
$44,000
per year 500 users
Enterprise
Contact Sales
per year
No answers on this topic
Offerings
Pricing Offerings
Atlassian Jira
ScienceLogic SL1
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Required
Additional Details
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ScienceLogic SL1 offers four tiers:
SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows
SL1 Base – Infrastructure Monitoring, Topology & Event Correlation
SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring
SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
To get pricing for each tier, please contact the vendor.
Agentless product that can integrate easily with other product and also allow us to automate tasks, example closing tickets when events are cleared automatically which user interactions.
The Jira software works well for managing scrum boards and allocating resources to a task. When your Epics and Issues are set up properly, it can give you a good idea of where your team stands and the trajectory of your project. It is not the ideal solution if you need to provide documentation and support to people outside of your product teams or organization. It would benefit from having a public documentation or repository feature.
Appropriate if you are setting up a monitoring suite in new Infrastructure Environment. Definitely NOT suited for Migration Projects. ScienceLogic SL1 cannot cater to a lot of monitoring requirements which already would have been configured in old monitoring suite. Plus, limited support for customizations and having to go to "Feature Requests" route makes in extremely complicated.
Dashboards are quite old and are of Iron age. Need to have AP2 dashboards only instead of AP1 and consistent new design across all functionalities.
Reporting is not improved since Y2020 and need to revamp completely. Need to integrate Dashboards and Reporting. PowerBI Like functionality to be given OOTB. Reports should be extracted in Excel, PDF, HTML and should be heavily automated.
Create and Open APIs for basic and advanced monitoring data extraction.
Topology based Event Correlation and Suppression should be improved drastically. Need to identify critical network interfaces based on Topology and monitor them. Basic customization of Dynamic App and/or Powerpack to exclude/include certain metrics/events to be permitted OOTB instead of customizations.
Integration with ServiceNow to be improved and to be taken to next level. Automation Powerpack should be made available OOTB as part of base product and to be priced attractively.
Take product to next level where we can monitor actual impacted IT or Business Service instead of metrics and events BSM and Topology map to be auto discovered and identify the network dependencies and alternate paths automatically instead of manual creation of BSM.
This is because Jira Software generates a huge profit for an affordable price. Having a tool that makes team management transparent and effective is very valuable.
In addition, the renewal of Jira Software and all Atlassian tools is predictable and clear, as the prices are published on the Atlassian website and there is no pyramid of intermediaries.
It is simply because of all the best possible autonomy solutions it is providing and getting better day by day. Using AI and Devops along with handy automation, The monitoring and Management of devices becomes much easier and the way it is growing in all the aspects is one the best reasons too. Evolution of the SL1 platform in the autonomy monitoring and management is quite appreciable.
JIRA Software is a pretty complex tool. We have a project manager for JIRA who onboarded us, created our board, and taught us the basics. I think it would have been pretty overwhelming to learn without her. JIRA offers so much functionality that I'm not aware of -- I constantly need to Google or ask others about existing features. Also, although they are all under the Atlassian umbrella, I find it difficult to switch between JIRA Software and Confluence.
The core functions are there. The complexity is due to the complexity of the space. The score is based on comfort (I no longer notice the legacy UI) and the promise that I see in the 8.12 Unified UI (a vast improvement). It is also based on the fact that with 8.12, you can now do everything in the new UI but you still have the legacy UI as a fallback (which should now be unnecessary for new installations)
SL is always there and online when you need to get info from it. The only times when SL was not available in our own data center, was when network links from out side of the data center was down and those links were not in our controll. Having a central database and people accessing it all over the world, may put a bit of constarin on the performance of the dashboards when reports gets generated, but that is far and few n between.
SceinceLogic SL1 architecture helps the platform to give a top-notch performance in every respect, Data collection to reporting happens very smoothly. With the new user interface pages load much faster. Individual appliances carrying the individual task ensure things are working without lag. Integration with ticketing tool(SNOW) is well managed by the ScienceLogic, no issue or much delay has been observed while interacting with an external tool.
Our JIRA support is handled internally by members of our Product Support team. It is not supported by a 3rd party. Our internal support will always sent out notifications for downtime which is usually done on the weekend unless it is required to fix a bug/issue that is affecting the entire company. Downtime is typically 3-4 hours and then once the maintenance is complete, another broadcast email is sent out informing the user community that the system is now available for use.
So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
It was good, Do the online training first and understand it and you will get the most out of the in-person training that way. This also takes you to an advanced level which is very good and the training as been overhauled once again along with new product coming in such as Zebruim / Skylar, worth going through again if it a while back that you first did this.
One of their strong points i stheir documentation. Almost all of the basic set up needed within JIRA is available online through atlassian and its easy to find and very precise. The more critical issues need to be addressed as well and hence the rating of 8 instead of a 9.
There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
Take your time implementing Jira. Make sure you understand how you want to handle your projects and workflows. Investing more time in the implementation can pay off in a long run. It basically took us 5 days to define and implement correctly, but that meant smooth sailing later on.
As first time developers, getting to grips with powerpack development using SNMP, Powershell and Python etc, was not helped by poor and badly organised online documentation. In many cases, we had to look at existing powerpacks and try to work out what it was doing and why - not always with much success. Even after receiving expert level training, the development of some powerpacks would not have been possible without access to the SL1 support staff.
Jira Software has more integrations and has more features than many of its competitors. While some of its competitors do have better UI/UX than Jira Software, they have improved this greatly over time. Atlassian also acquired Trello years ago, so that adds better user interfaces to the system. They do also offer a pretty in-depth library of how to customize the platform that others don't.
Science logic SL1 is so user friendly and it's really easy to navigate between function. I would recommend Sciene logic SL1 to all of them who are looking for really useful monitoring tool and expecting easy way of managing it.
Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)
