What is LogicMonitor and what are its top alternatives?
Top Alternatives to LogicMonitor
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog! ...
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License. ...
Solarwinds
Developed by network and systems engineers who know what it takes to manage today's dynamic IT environments, SolarWinds has a deep connection to the IT community. ...
PRTG
It can monitor and classify system conditions like bandwidth usage or uptime and collect statistics from miscellaneous hosts as switches, routers, servers and other devices and applications. ...
New Relic
New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code. ...
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...
Dynatrace
It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before. ...
AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...
LogicMonitor alternatives & related posts
Datadog
- Monitoring for many apps (databases, web servers, etc)130
- Easy setup103
- Powerful ui83
- Powerful integrations80
- Great value66
- Great visualization50
- Events + metrics = clarity41
- Custom metrics39
- Notifications38
- Flexibility36
- Free & paid plans16
- Great customer support13
- Makes my life easier12
- Easy setup and plugins7
- Adapts automatically as i scale up6
- Super easy and powerful5
- In-context collaboration4
- AWS support4
- Rich in features3
- Best than others2
- Cost2
- Docker support2
- Free setup1
- Easy to Analyze1
- Monitor almost everything1
- Automation tools1
- Source control and bug tracking1
- Full visibility of applications1
- Expensive1
- Cute logo1
- Simple, powerful, great for infra1
- Expensive12
- No errors exception tracking2
- Complicated1
related Datadog posts
Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.









We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.
We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.
We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.
You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?
Nagios
- It just works53
- The standard28
- Customizable12
- The Most flexible monitoring system8
- Huge stack of free checks/plugins to choose from1
related Nagios posts
Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:
By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node鈥檚 disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.
To ensure the scalability of Uber鈥檚 metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...
(GitHub : https://github.com/m3db/m3)
related Solarwinds posts
related PRTG posts
New Relic
- Easy setup416
- Really powerful345
- Awesome visualization244
- Ease of use194
- Great ui152
- Free tier107
- Great tool for insights81
- Heroku Integration66
- Market leader55
- Peace of mind49
- Push notifications21
- Email notifications20
- Heroku Add-on16
- Error Detection and Alerting16
- Multiple language support12
- Server Resources Monitoring11
- SQL Analysis11
- Transaction Tracing9
- Azure Add-on8
- Apdex Scores8
- Analysis of CPU, Disk, Memory, and Network7
- Application Response Times6
- Detailed reports6
- Performance of External Services6
- Error Analysis6
- Application Availability Monitoring and Alerting6
- Most Time Consuming Transactions5
- JVM Performance Analyzer (Java)5
- Easy to use4
- Browser Transaction Tracing4
- Top Database Operations4
- Pagoda Box integration3
- Custom Dashboards3
- Weekly Performance Email3
- Application Map3
- Easy to setup2
- App Speed Index2
- Easy visibility2
- Metric Data Retention1
- Team Collaboration Tools1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Analysis and Breakdown1
- Time Comparisons1
- Access to Performance Data API1
- Metric Data Resolution1
- Background Jobs Transaction Analysis1
- Incident Detection and Alerting1
- Real User Monitoring Overview1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Free1
- Super Expensive1
- Exceptions0
- Pricing model doesn't suit microservices18
- UI isn't great10
- Expensive7
- Visualizations aren't very helpful7
- Hard to understand why things in your app are breaking5
related New Relic posts









Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.
Current Environment: .NET Core Web app hosted on Microsoft IIS
Future Environment: Web app will be hosted on Microsoft Azure
Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server
Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.
Please advise on the above. Thanks!
Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).
- Ability to style search results into reports1
- API for searching logs, running reports1
- Query any log as key-value pairs1
- Splunk language supports string, date manip, math, etc1
- Granular scheduling and time window support1
- Alert system based on custom query results1
- Query engine supports joining, aggregation, stats, etc1
- Custom log parsing as well as automatic parsing1
- Dashboarding on any log contents1
- Rich GUI for searching live logs1
- Splunk query language rich so lots to learn1
related Splunk posts
I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.
- Real User Monitoring2
- Automation1
- Easy setup1
- Analytics vMotion events detection Discovery Performanc1
- Automatic instrumentathird generation full stack Agents1
related Dynatrace posts









Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.
Current Environment: .NET Core Web app hosted on Microsoft IIS
Future Environment: Web app will be hosted on Microsoft Azure
Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server
Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.
Please advise on the above. Thanks!
Hi Folks,
I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?
- Deep code visibility17
- Powerful10
- Real-Time Visibility7
- Great visualization7
- Easy Setup6
- Comprehensive Coverage of Programming Languages5
- Deep DB Troubleshooting3
- Excellent Customer Support2
- Expensive5
- Poor to non-existent integration with aws services2
related AppDynamics posts









Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.
Current Environment: .NET Core Web app hosted on Microsoft IIS
Future Environment: Web app will be hosted on Microsoft Azure
Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server
Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.
Please advise on the above. Thanks!
Hi Folks,
I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?