Splunk AppDynamics

we are using this to monitor every aspects of our organisation related to business or operation issues. It detect and resolves issues automatically. It is easy to integrate or implement in the existing infrastructure. It has best in segment monitoring tools. It gives the alerts if any issue occur. It is very beneficial for our IT department. It ensure security and there is no downtime of our existing application. Also we can add indicators for detecting the issues.

• Troubleshooting of issues is quick, reduce crashes and downtime.
• Revenue increase because it reduce manual efforts and saves maintenance cost.

Splunk AppDynamics is our primary tool for monitoring the applications and all the servers and also it analyses the application load and traffic requests to give us clean picture of end to end flow of application so with this all our servers will be actively monitored and we get alerts if anything crosses threashould value apart from this we track the application user requests and monitoring the performance of a complex system also it provides clear vision of the full architecture including the communication/flow between different services part of the solution

• Die to active monitoring of servers we get all the alerts on time and takes action before it really makes an business impact
• Since we monitor application flow also incase if any issues with DB and all we get to know quickly and take actions it avoid ls the business downtime
• Stat analysis helps in demand forecasting as well
• Clear architecture diagram of application flow for betterment services

Nagios XI

HashiCorp Terraform, Jenkins, GitLab

In my case, as a software developer at a financial institution, I am responsible for developing the integration layer in the bank's architecture, so I often use Splunk AppDynamics to monitor my applications: their heartbeats, their status, the number of users using my API, etc. It also shows me the links between the different services.

• negative impact: too expensive for the annual licence fee
• positive impact: comprehensive monitoring of every small and large detail of microservices
• positive impact: in the event of a crash and shutdown, it helps you identify the area of failure

Elastic Observability

Dynatrace, Datadog, Azure Monitor

The solution is used for end-to-end monitoring in B2B and B2C customer applications. We use the SaaS solution, with the instrumentation of machine agents (windows / Linux), introspection in JAVA code, and Oracle and MSSQL databases. Experience monitoring was also used in major web portals. There was the integration of alarms with incident openings and other monitoring tools. Several Dashboards were implemented with business metrics.

• Dashboards
• Fine tuning of alarms
• Escalation

• RAM upgrade because of the machine agent
• Business performance view
• Licensing cost

SolarWinds Network Performance Monitor (NPM), SolarWinds NetFlow Traffic Analyzer (NTA), SolarWinds Web Performance Monitor (WPM), Dynatrace and Zabbix

Dynatrace, SolarWinds Database Performance Analyzer, Zabbix, PagerDuty

AppDynamics was used to perform observability in over all infrastructure and service monitoring setting. the business problem it will address includes giving over all or holistic view of systems from infra Db and application side.

• reduce Downtime
• Plan for growth

Dynatrace, IBM Instana and ManageEngine OpManager

Dynatrace, ManageEngine OpManager, Datadog