ScienceLogic SL1 Reviews

ScienceLogic SL1 monitors the IT platform softwares in a perfect way. It covers emails, CPU monitoring, server management. It provides the best in the class customizable dashboard which gives a [variety] of information and management tools under one interface. It provides solutions to multiple dashboards. It helps to gain more productivity.

ScienceLogic SL1 provided better productivity across the organization due to its auto management systems. It provides real-time faults in the system. It also updates the changes needed in the server or system according to the requirements. It uses machine learning and artificial intelligence very perfectly to perform its tasks.

We use it mainly to get monitoring data for our devices. It being used specifically in my department and the neighboring teams. We just use ScienceLogic API to get the respective details mentioned above.

It is an org level visibility.

We use ScienceLogic for monitoring our Managed Service customers, providing in-depth analysis on a range of hardware and software components in the data center. We also sell, deploy, and configure the application to any of our customers that require a monitoring solution for IT environments. Typically it is deployed across all departments.

Yes, absolutely. ScienceLogic has good features for discovering items in any environment.

We use Science Logic SL1 as our monitoring and event-based automation tool to help manage our managed service customers networks and infrastructure. We also offer a Monitoring as a Service proposition, where our clients can just purchase a monitoring and automation service only.

ScienceLogic helps solve a number of problems:

1. Monitoring of status and performance of assets and services.
2. Displays and views via dashboards and Business Service views of the overall health/risk and performance of key higher-level services.
3. Event-based automation. ScienceLogic is a great platform to launch automated actions from. It comes with a large number of pre-build infrastructure specific scripts, which are easy to customize (with basic knowledge of Python).
4. Integration with other IT deliver tools such as ITSM tooling & CMDB.
5. Auto-generation of network maps that show asset dependency.

ScienceLogic is a great tool to bring together aspects of service operations and lead a customer from a reactive firefighting position towards a more mature operational model. The industry buzzword, AIOps, is a good one and ScienceLogic will start the journey to automating support and operations functions.

SL1 has much-improved visibility of and our ability to manage our customer environments.
This has improved as SL1 offers deeper levels of monitoring and also easier management of the platform (Ease of management is important as changes are more likely to get done. If I make an improvement to a monitoring method, I can easily apply that update to all of those monitored devices across multiple customers).
The Business Service views mean that I can easily create views into the monitoring data that are applicable to different levels within an organization. For example, an overview of business services for director level and a lower level performance view of assets for engineer level of employee.

We use ScienceLogic across the organization to monitor both our infrastructure and the health endpoints of services, and have found it gives us great visibility of system health. We are currently exploring moving away from competent level dashboarding and moving to dashboarding that will display the business services and show the impact a component failure has on that service as well as any other services dependent or linked to it.

In 2020 we carried out a migration to ScienceLogic’s SaaS platform to remove the requirement of both hosting and managing onsite DBs and this has also opened up new opportunities we are exploring within ScienceLogic.

When moving to ScienceLogic we gained a deeper insight into our infrastructure, its functionality and health alongside providing us with a more in-depth dashboarding tool-set.

We are also hoping with the move to service orientated dashboarding this will provide us with better visibility of service functionality, the impact a service issue has on other services, and also allow us to provide the business with dashboards to be able to view their service health.

As a managed services provider, we use ScienceLogic internally as well as in support of our customers for monitoring. We utilize it for availability and performance monitoring across all customers and internally. The data gathered is also used for sizing/re-sizing, application requirements planning, and continuous improvement cycles. We utilize the platform for automation for remediation and alerting/ticketing.

We are an MSP providing monitoring and analytics services to audio/video and UC customers. We use SL1 to monitor customers' audio / video integrated rooms and UC endpoint-enabled rooms including Poly, Cisco and LifeSize devices. We have a 24/7 customer support operation centered around receiving customer device events from SL1, auto-generating tickets into our ITSM platform and providing real-time analytics and trending report analysis through SL1 collected data. This data and analytics help customers make business decision surrounding the use and optimal deployment of their conferencing and enriched media services to their internal teams.

Being a Managed Service Provider, we have greatly increased our visibility into customer networks and devices using SL1. It provides a solution that allows us to not only be alerted to customer events and issues, but through the single pain of glass design and multi-tenancy of the application, we can safely and securely offer customers visibility to the dashboard to see their events and our team responses as well.

ScienceLogic SL1 used [...] across [the] organization to manage the infrastructure environment to address monitoring issues, [and] perform automation against manual interventions to resolve issues, [and] ticket creations.

Yes. Automating [the] discovery of granular details within the environment brings more details/awareness on the environment.

We use ScienceLogic SL1 as our modes of monitoring of our devices within the company. We use multi vendor platform that are enrolled in SciLo. We use this platform to schedule maintenance window when we have activities, change, and other tasks. We also use it to monitor certificates and uptime of the devices.

We can easily monitor devices and alerts us users if we need to take actions. We can also use this to schedule maintenance windows so it will not alarm or notify other Engineers that a specific device is down. It made monitoring devices easy by use of scripts and automation.

ScieLo is very useful, especially to us engineers, it makes our life easier and efficient as the automation from monitoring (networks and certificates validity) and integration to Snow ( ticket creation for any alert/error).

So far NO, not yet experienced to modify my level in ScienceLogic SL1.

ScienceLogic SL1 will be used to bring order from the chaos. Before ScienceLogic SL1, we had numerous stand-alone monitoring systems and all alerted on their own. With ScienceLogic SL1, we are working towards a single pane of glass and allow our NOC to look at one screen instead of twenty seven different monitors.

ScienceLogic SL1 allows for better monitoring and visibility to the entire enterprise. Honestly, nothing is more visible than it was before however it is easier to be aware of the bigger picture and harder to miss critical problems. This platform will allow for more work to be done by each NOC tech if less time is spent on looking at numerous different monitors.

Multi-tended customer and internal managed service provider monitoring. Used across the company by technology owners and developers. Addresses inventory and network monitoring system servicing to CDW and its clients.

We were able to provide greater visibility to the client using the discovery applications and component build-outs.

We're still in pilot phase to see if we can get the same efficiencies as other organisations have through their deployments.

Yes but we're still in early use cases.

Currently, we are using ScienceLogic for one of our accounts as it is a rich platform and it connects so many technologies.

NA

We are using ScienceLogic SL1 for our managed services business. It is used to manage and monitor all internal infrastructure as well. As of yet, we haven't addressed any milestones from our previous monitoring tool. COGS are a first-hand business problem that it has addressed.

Not yet. This is too early for us to look into this particular topic. ScienceLogic SL1 was deployed in Dec 2019. Currently, we are going through a lot of fixes and functionality that we need to incorporate/enable/change so we adhere to SLAs.

We see it has significant value to the question here, however, we have not had time to quantify and evaluate.

ScienceLogic brings significant abilities to the table (and on their roadmap) which enable critical business operations (such as maintaining our company website's health and availability) to track against our ServiceNow (CMDB) data and our ScienceLogic (IT Infrastructure Monitoring) deployment. We have replaced our legacy / homegrown system with ScienceLogic to enable our on-prem, private cloud and multi-cloud deployments (sometimes using all three) the ability to ensure health and availability. We are looking to move to ScienceLogic's AIOps and data lakes to further simplify the transformation of our event-storms to meaningful business information.

We forced a common view to be rendered in ScienceLogic so that the vast majority of our 2200 users could see where they were supposed to go based on droplets of our IT culture which we sprinkled across the ScienceLogic legacy user interface. 80% of our customers will use ScienceLogic without really using ScienceLogic. 20% of our customers will deeply use ScienceLogic PowerPacks, etc. Everything has changed, but our core structure is visible throughout. If anything, the new structure is now more inline with our recently updated CMDB (ServiceNow) structure as opposed to our legacy CMDB (EMAN) structure. (These have been multi-year change cycles.) ScienceLogic IT Services are how our IT culture currently renders Host Clusters, Application Clusters and Application endpoints (regardless of lifecycle). We will be working with ScienceLogic on the 8.12 view of Application Management (which as configured won't match our model or requirements). We expect sometime in the 8.13 or 8.15 release cycle that we may have something usable which we will move our Application Monitoring and Service health monitoring onto Business Services and Application Health. For now, we will continue to use IT Services though Host Clusters will slide down into Device Services. It is unclear if we will move Application Clusters will move up to Business Services. We need more discussions to determine how we will interact with Business Services since our IT Management wants Application Monitoring, but we can't consume it because our view of an application isn't supported by ScienceLogic's definition that it is rooted by a process in memory on a given box. (We run many applications through the same nginx / apache process... Exactly which application is up and which is down?)

It is being used across the whole organization for monitoring the network devices availability and performance. It is used to monitor the devices on various parameters and get the case logged automatically in case of some issue for the appropriate team to look into and get it fixed before the impact becomes huge. From packet drops on interfaces to availability of the device all are being very well taken care by the ScienceLogic.

Yes it has definitely changed the level of visibility, now it gives us more insight into the network performance. Interface error and discards across the interfaces help us to troubleshoot the latency issue of the applications. Bandwidth utilization of the device helps us to decide if it's the best time to increase the number of links, thus helping in maintaining the smooth performance of the applications.

We've been using SL1 for some years for infrastructure and application capacity monitoring and we've been satisfied with the tool. The SaaS, agentless, open/customized tool brought us the opportunity to monitor our customer devices with power packs (some good, others not so much) and create our own monitoring collections, presentations, and monitors, which was good. The quick data warehouse and report/dashboard capabilities are a plus for the tool as well, for simple purposes they can fulfill what is required.

The capability of ScienceLogic to deliver out-of-the-box reports and dashboards (according to the maturity of the required/technology powerpack) changed the visibility across the infra, application, and services overall. Now, the customer and service provider, have, without the necessity of spending time developing easy and quick reports and dashboards.

We used it as the AIOps platform to do the proactive monitoring. In addition to that, we are also tied into our ServiceNow. It is used by the department and expanding to BU. The main focus of the ScienceLogic is to provide monitoring in a relationship, this gives the team the opportunity to quantify a lot of gaps that we had before.

Yes we have changed due to a unified view of the data. This is now the big data for us. We are still under deployment at this moment as we are very new in the game within Canada. At this point, I cannot tell you if that is the case, but we do see some progress on it already.

We uses SL1 to monitor computer systems for availability and performance metrics. It is used for all necessary monitoring needs across the company. SL1 allows us to very quickly respond to outages as well as making informed decisions with performance metrics.

With ScienceLogic we have the ability to scale visibility to our needs. It allows for help desk operations to get a quick and easy look into infrastructure and applications that they do not have other access to in order to more quickly address issues. Sometimes the ability to show something that looks correct can quickly determine who can notice if something does not look correct.

We use ScienceLogic as our proactive monitoring platform for our core infrastructure devices, including our VMs, as well as all the devices for our managed customers. The monitoring notification system allows us to notify the key stakeholders, by email of any potential issues before it becomes critical. The flexibility of ScienceLogic is allowing us to tailor the monitoring of each device differently.

ScienceLogic has allowed us to have a holistic view of our entire infrastructure. We definitely have an hybrid infrastructures, comprising internal data centers, private clouds and public cloud service. We have increased the number of devices, companies since we started using ScienceLogic. ScienceLogic has provided provide us with more flexibility and the potential for carving out the perfect environment for a company’s multifarious needs.

As we are a large company we have many different requirements and due to the way ScienceLogic works we are having to spend a lot of time creating standards and disabling some features from the product that may impact on our customer's requirements. Regarding tool the specifically, it seems to be a very powerful tool but as the famous phrase from Spiderman says, with great power comes great responsibilities. The level of knowledge from the maintainers must be on a higher level than the previous tools required.

Still too early to tell, in the next months we will have a better understanding on this topic.

We use it to monitor our on prem and cloud platforms (Azure, AWS).
It escalates callouts to our engineers via PagerDuty and then raises a ticket in hornbill for the incident.

ScienceLogic was implemented before I started 4 years ago, I don't know what they had before that.

It is used for a particular product, called Unified Communications. ScienceLogic is monitoring and creating reports for this product.
In some cases, it is helping us to generate our report for our customers, i.e. when a customer migration happens.
Also, we create some intelligence about alarming, so the service is better monitored.

In one screen we can see if there is any issue in the service.

I have been using ScienceLogic for the past 2 years now and have seen significant improvement in the tool. It is a highly flexible tool and works efficiently for monitoring the entire IT infrastructure from hardware to software to cloud, application and synthetic monitoring. The tools has open snippet codes, which gives you the flexibility to adapt to any type of environment.

i am working as tools consultant with more than 8 years of experience in the industry and has worked on many infra monitoring tools such as UIM, spectrum, solarwinds and now sciencelogic as well. starting with support to teh implementation teams, i am now being part of COE team wherein we provide recommendations to our new customers.