How To Reduce IT Management Costs With An AIOps

Just imagine the biggest city in Europe and how dozens of millions of citizens are dependent on the stable work of the city’s digital services during the pandemic. Doctor’s check-ups and appointments, coronavirus tests’ results, digital grades’ lists for children, taxes declarations, and payments — everything is online. Managing this “IT zoo” is not simple and not cheap at all, but the costs of errors are very high.

Hi, I’m Nikolay Ganyushkin, CEO of MONQ Digital Lab. My today’s story is about opportunities that MONQ AIOps (Artificial Intelligence for IT Operations, Gartner) solutions give to the business and how it helps to manage IT infrastructure and digital services more efficiently. Let’s have a look at it throughout the story of one of AIOps MONQ’s customers from the public services industry. This case illustrates how AI technologies help to solve the main IT management issues.

Client Profile

Just a couple of details about the client that helps to understand the scale of Its IT infrastructure and digital services:

This is how the IT infrastructure and digital services of the client look like

Issue Solved #1. Users Notice Failures Before IT, Incidents’ Resolution Is Too Long

The client was in the state when public services portal, digital services, and software for employees had been working unstably. External and internal users were complaining about the unavailability of services, but due to complexity IT could not ensure the reliability of services and discovered problems after users. Critical incidents had been resolving for more than 30 minutes, sometimes up to 1 hour.

At this time, the main goals were detecting failures before users notice them, reducing incident resolution time, and monitor services from the user’s point of view, for instance, by running centrally autotests which would simulate user behavior in the system. Based on these tests, support engineers could look for possible errors, threats, and failures and react proactively.

Moreover, the client needed to build a hybrid monitoring system and correlate business and technical data to answer the question of where exactly the failure occurred.

How the issue has been solved?

1. The set up synthetic interface testing

The administrative interface of AIOps MONQ synthetic monitoring

2. MONQ’s Hybrid Monitoring

At first, the client was focused on the monitoring of simple systems, external and internal portals. For example, it had been monitoring an internal portal where the script included simple authorizations, checking the availability of content, searching for buttons, checking subscription services, etc. Then he has decided to monitor systems with more complex logic. For example, in public services, legal entities need an EDS [electronic digital signature], and to check the correctness of the report generation function, it was necessary to look at the composition of Word documents.

What were the results achieved?

Issue #2. High Costs For IT Monitoring.

The client operated over 100 city information systems, worked with 22 contractors, and the systems were manually monitored by 50 engineers. There was an expensive contract for ineffective manual checks that cost over $ 1.5 million per year. If a failure was detected, the incident had been resolving manually, it had been taking a long time.

The monitoring costs were very high, nevertheless, the efficiency was low due to the difficulties in coordinating all disparate processes, and, of course, the human factor. A contractor had been manually checking a large number of interfaces and services. There were about 80 information systems and five scenarios to check, which is a total of 400 scripts to process. They had been checked a minimum of 10 times per day. In total, 4,000 manual checks were performed daily, each check took a minimum of 20 minutes. If a problem was found, the incident resolution had been processed manually. The engineers’ time was used ineffectively.

The main goal at this step was to reduce the cost of IT monitoring and improve incident management.

To achieve it, the client has started to use the following AIOps functionality:

MONQ AIOps automation library

What results have been achieved?

Issue #3. A Lot of Noise From Monitoring Systems, The IT Visibility Is Low

Due to the complexity of IT infrastructure, one information system could send several hundred notifications per day. It was not clear which of those notifications were important and which ones needed to be responded to faster, and which could be dealt with later. Moreover, it is unclear how the incident could affect the business. So for the client, it was very important to sort alerts from monitoring systems and automate this flow so that engineers receive only useful events that need to be responded to.

This large use case had required the following AIOps functionality:

1. Autoclustering and deduplication functions. Using MONQ, auto-clustering, and event deduplication were set up.

2. Resource-service model that visualizes the current state of health of all IT systems on one screen. The resource-service model made it possible to see which services crash could critically affect the availability of digital services and to correctly prioritize incident resolution.

3. Visualization and health map. The client received advanced visualization tools. By the dependency graph, it was possible to set up triggers and combine events.

4. Integration with ITSM. Integration with ITSM made it possible to multiply the number of created incidents. An average of 28 incidents was created automatically per day. Previously, it took about 20 minutes for one employee of the situation center to create one incident. To work out the same volumes as MONQ does, the client would need 10 employees simultaneously working per day.

5. Alerting responsible teams & criticality levels. MONQ fixes all problems and instantly notifies responsible teams. The client, as the operator of the system, determined the list of responsible persons to whom notifications go. The client uses various types of notifications to email and messengers. He has adjusted the criticality of an alert: there are 4 types of alerts, from high to low priority, with different levels of responsibility. The notification itself contains information about its priority, and it is immediately clear how quickly it is needed to react to it.

The MONQ’s main screen increase the visibility and shows the current state of the whole IT

In MONQ AIOps, a resource-service model can be created in 10 minutes without programming skills. It is possible to create a model, bind tests, run them, and set up automated rules for notifying the necessary teams that participate in the project, as well as register an incident in the ITSM with subsequent visualization in the progress system solving the problem. Setting up notifications is very flexible. If, for example, a failure lasts 5 minutes the system sends the notification by mail, if more than 5 minutes — by messenger. If it is more than 10 minutes the system officially registers the incident. All these functions are a part of “the product boх”.

…Results?

1. The number of useless notifications has reduced by 64% due to complex processing logic.

2. The general state of IT and the possible impact of a failure on the stability of services have become clear. It has become simple to prioritize actions and react to those that are important.

4. Issue #4. Manual IT Incidents Resolution

In each IT unit, the state of the systems was monitored by engineers who manually sorted events and made decisions about their criticality. The client had a lot of information systems written by different developers in different languages. Each information system often had its own monitoring, which generated a huge stream of events.

Incident management had to be automated. The client wanted its engineers to be automatically informed about the deviations in working processes and emergencies. Also, it was important to register the incidents for their manual or automatic elimination. The system for automated incident resolution should provide a new level of visualization and centrally manage data from Zabbix, Jenkins, and create incidents and alerts.

The scale and maturity of the client’s products were different. As a result, IT support was very complex. Some of the products had already connected monitoring systems, others not. To all this, there was the resistance of system administrators who wanted to use only their own closed circuits. MONQ AIOps has helped to standardize the monitoring processes, but the operation itself was completely transferred into local teams. Effective collaboration has finally emerged between related teams.

What AIOps functionality has been used to solve the issue?

1. Automated incident management. Auto-escalation of events was set up. All incidents are automatically registered in ITSM. Teams get notifications about IT issues and tips on problems’ resolving.

2. Automation with scripts. Routine tasks, such as reloading of a server, were automated by using automation scripts for routine tasks. The automation was launched at the level of auto-execution of scripts with support for BASH and REST inside.

3. A standard was introduced. The client has connected 26 Zabbix servers to MONQ.

4. One screen for all systems. Almost all major services were connected to MONQ. The system processes up to 30,000 events and triggers per day.

What results have been achieved?

1. Incidents are being resolved automatically. There are being automatically recorded and assigned to the responsible teams. Typical routine troubleshooting operations are automated.

2. Incident assignment has accelerated 10 times. Incident assignment time has been reduced to a couple of minutes instead of 25 minutes earlier.

5. Issue #5. Contractors Overestimate SLA

The client had service support contracts, but it was unprofitable for contractors to register all the incidents in order not to spoil their KPIs by underestimating SLA, for instance, at night. The client hadn’t a tool to control it and wanted all failures to be recorded as well as detailed reports on systems performance.

What has been done?

1. Automatic registration of all incidents. MONQ made it possible to prescribe the response time to failures in the system maintenance conditions, as well as automatically calculate, for example, unavailability. All incidents are immediately registered and transferred to a responsible contractor or subcontractor.

2. SLA reports are built automatically. In SLA reports, reports are automatically generated on the availability of each of the services. The Situation Center assigns tags to events, sees an objective picture of the calculations, and performs the analysis. It is possible to export reports in .xls, .pdf-formats.

MONQ AIOps’ SLA screen

As a result, the client has received an objective control tool for contractors and stopped paying contractors for unfulfilled SLA.

Is it possible for your company?

Yes. You can achieve even better results. Want to try an AIOps? Just write to us.

CEO and Founder of MONQ Digital Lab