We have solutions dedicated to your industry:

Finance and banking
E-commerce
Public administration
Telco
Manufacturing
Health care

Improved customer experience with web and mobile applications, higher transaction conversions

Higher reliability of IT and network environments

Improved Customer Experience thanks to a full insight into the user's interaction with the website or mobile application

Improved network performance and IT security levels

Increased performance and stability of key applications and IT environments

Improved performance and reliability of websites and applications

Considerable savings through improved operational efficiency

Better scalability of customer portals and applications

Faster processing of queries, improved customer satisfaction, First Contact Resolution and Service Level

Earlier detection of problems, prevention of failures

Support of the processes of migration to the cloud

Improved Customer Experience thanks to a full insight into the user's interaction with the website or mobile application

Complete observability of IT environments

Support of process automation and DEVOPS implementation

Increased sales and better customer retention thanks to the elimination of bottlenecks

Ensured quality of service delivery

Ensured comprehensive application security

More efficient and faster customer service

Faster innovation, increased application security

Improved application security

Increased productivity of development and Quality Assurance teams

Complete observability and control of customer activities, increased level of conversion of their behaviour

Support of digital business transformation

Support of the processes of migration to the cloud

Maximised Return On Investment (ROI) for deployed business applications

Support of the processes of migration to the cloud

Support of digital transformation processes

Support of process automation and DEVOPS implementation

Accelerated IT systems migration to the cloud

Enabled implementation of Site Reliability Engineering (SRE) principles

Improved customer experience with web and mobile applications, higher transaction conversions Improved network performance and IT security levels

Considerable savings through improved operational efficiency Earlier detection of problems, prevention of failures Improved performance and reliability of websites and applications

Complete observability of IT environments Higher reliability of IT and network environments Improved Customer Experience thanks to a full insight into the user's interaction with the website or mobile application Increased performance and stability of key applications and IT environments Improved Customer Experience thanks to a full insight into the user's interaction with the website or mobile application

Faster innovation, increased application security Better scalability of customer portals and applications Faster processing of queries, improved customer satisfaction, First Contact Resolution and Service Level Support of automation processes More efficient and faster customer service

Maximised Return On Investment (ROI) for deployed business applications Support of process automation and DEVOPS implementation Increased sales and better customer retention thanks to the elimination of bottlenecks Ensured quality of service delivery Ensured comprehensive application security Support of the processes of migration to the cloud

Support of digital transformation processes Improved application security Increased productivity of development and Quality Assurance teams Complete observability and control of customer activities, increased level of conversion of their behaviour Support of digital business transformation

Support of process automation and DEVOPS implementation

Accelerated IT systems migration to the cloud

Finanse i bankowość
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E-commerce
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Administracja publiczna
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Telekomunikacja
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Produkcja przemysłowa
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Ochrona Zdrowia
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500

Applications

we monitor

5min

How much time

it takes us to set up monitoring

5000

Containers/Servers/Services

monitored

300

Issues

diagnosed daily

100

Years of experience

in large projects

200min

Customer sessions

monitored per year

500

Applications

we monitor

5min

How much time it takes us

to set up monitoring

5000

Containers/Servers/Services

monitored

300

Issues

diagnosed daily

100

Years of experience

in large projects

200min

Customer sessions

monitored per year

500

Applications

we monitor

5min

How much time it takes us

to set up monitoring

5000

Containers/Servers/Services

monitored

300

Issues

diagnosed daily

100

Years of experience

in large projects

200min

Customer sessions

monitored per year

500

Applications

we monitor

5min

How much time it takes us

to set up monitoring

5000

Containers/Servers/Services

monitored

300

Issues

diagnosed daily

100

Years of experience

in large projects

200min

Customer sessions

monitored per year

500

Applications

we monitor

5min

How much time it takes us

to set up monitoring

5000

Containers/Servers/Services

monitored

300

Issues

diagnosed daily

100

Years of experience

in large projects

200min

Customer sessions

monitored per year

500

Applications

we monitor

5min

How much time it takes us

to set up monitoring

5000

Containers/Servers/Services

monitored

300

Issues

diagnosed daily

100

Years of experience

in large projects

200min

Customer sessions

monitored per year

FAQ

The tools support a full range of the most common technologies, transmission standards and hardware integrations. For non-standard technologies (including legacy), extensive integration and customisation to meet system requirements is possible. There is also full, built-in support for the OpenTracing standard.

Most problems are related to infrastructure (at the level of resource or connection availability and traffic distribution) or to the optimisation of the application itself (intensive queries to the database, slowdowns in services with the highest load, exception handling). Application monitoring enables effective diagnosis of such slowdowns and links them with a particular factor.

Customer experience shows that the level of complexity of environments running within a private, public, or hybrid cloud is one of the most underestimated challenges in digital transformation. However, it is possible to mitigate the associated risks by implementing integrated, intelligent systems to review and continuously monitor IT environments. Most standard monitoring tools are not designed to operate autonomously under rapidly changing conditions. Therefore, it is crucial to choose a platform that naturally supports both the modern world of cloud and microservices as well as classic architectures. Analysing the relationship between them, automatically detecting and adapting to changes saves time and keeps services secure.

Intelligent monitoring solutions can clearly determine the level of availability and performance of services but also directly indicate their impact on the achievement of business parameters. They monitor the satisfaction level of application users as well as its dependence on the state of the ICT infrastructure: servers, databases, networks, and external service providers – the monitoring systems directly indicate which elements are responsible for the failure to meet the set parameters. The parameters monitored in continuous 24/7 mode enable the implementation of modern methods such as SRE (Site Reliability Engineering) and real-time monitoring of indicators: SLI, SLO or SLA. From the point of view of diagnostics and problem solving, our monitoring solutions allow descending to the level of individual queries, packages, and direct linking of effects to causes.

The obvious consequences are a loss of reputation and lower profits for the company due to customer migration to more efficient competitor solutions or lower employee productivity due to slower applications. The lack of knowledge about the causes of poor performance very often generates unnecessary infrastructure and staff augmentation costs.

No, Kubernetes monitoring is very simple to run and does not force any change on the part of the applications running in that environment, be it on the configuration level or on the code level. The system itself detects the components running there as well as their dependencies and automatically connects to them for monitoring. Even changes resulting from the automatic scaling of services are detected “on the fly” and require no additional effort.

Negligible – even with very high production traffic, monitoring analyses all queries down to the code level without impacting performance. Dynatrace offers a unique technology on the market that, unlike the competition, does not require sampling in production environments.

Only positive – network monitoring is passive, it analyses a copy of the traffic or netflow records and monitoring does not affect the original network traffic in any way.

Workload is kept to a minimum – agents self-discover and connect to the technologies they need to monitor, built-in artificial intelligence creates a picture of the relationships between components and automatically detects anomalies at the application and infrastructure levels. In addition, when a problem is detected, the root cause of its occurrence is analysed so that users do not have to manually analyse the data and can benefit from pre-built tips. Compared to traditional solutions, artificial intelligence-based monitoring enables the company's key resources to be freed from problem analysis to the implementation of innovations that increase the company's competitiveness.

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We have solutions dedicated to your industry:

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FAQ

Are application and network monitoring tools universally applicable, i.e. can they be applied in every customer IT environment?

What are the most common problems that cause the application's performance to drop?

Is managing multiple microservices and numerous cloud platforms problematic and difficult to manage?

What insights into the performance of applications and company IT networks can monitoring solutions provide?

What could be the consequences of prolonged use of applications and use of company networks with reduced performance?

Does Kubernetes monitoring require intervention in the applications running there?