Observability is the new monitoring
Observability stands for a cross-system approach that encompasses all factors for monitoring and observing the behavior of software.
Understand the state of your system and improve stability.
Measure CPU utilization, memory usage, response times, performance and throughput.
Quickly detect, isolate, and resolve system failures.
Our services around Observability
The implementation of observability practices and the use of appropriate tools enable developers and operators to improve the performance, stability and reliability of systems.
Observability helps quickly identify, isolate, and troubleshoot problems to ensure high availability and optimal performance.
Automation of configurations
Automated, reproducible rollout of predefined configurations guarantee desired target states and fast recovery.
Logfile analysis
Evaluate system and application events centrally and use event aggregation and correlation to provide the basis for critical fault detection and security audits.
Integration of a Time Series database
A high degree of scalability and speed through the optimized storage of monitoring data for evaluations and visualizations.
Monitoring of the entire IT environment
Ubiquitous monitoring of the entire IT environment from hardware, virtual machines, containers, through applications and interfaces to business processes from a user perspective (end-to-end) provide the basis for effective and targeted triggering of self-healing mechanisms and alarms.
Visualization from different data sources
Easy and fast analysis of live states and historical data by means of various graphical representations of different systems from different data sources.
System monitoring
The collaboration of microservices
Cloud infrastructures also present the
IT monitoring
new tasks: Modern monitoring tools should, for example, be able to observe agile workloads that are deployed situationally and dynamically. They must comply with current standards and have open interfaces for a wide range of functionalities so that they fit into today’s heterogeneous cloud landscapes. They do not need to support all aspects of monitoring themselves. Instead, they could work as specialized microservices with other microservices in the cloud. We will help you with that!
System monitoring
The collaboration of microservices
Cloud infrastructures also present the
IT monitoring
new tasks: Modern monitoring tools should, for example, be able to observe agile workloads that are deployed situationally and dynamically. They must comply with current standards and have open interfaces for a wide range of functionalities so that they fit into today’s heterogeneous cloud landscapes. They do not need to support all aspects of monitoring themselves. Instead, they could work as specialized microservices with other microservices in the cloud. We will help you with that!
About
Cloud and Data Center
Whether operated independently or externally, IT systems and applications are at the heart of businesses. They are firmly integrated into workflows and form the basis of many digitized business processes.
Virtualized machines and containers offer a high degree of flexibility and scalability for cloud applications. Depending on the workload, resources can be added or removed dynamically and automatically.
At the same time, parallel use of on-premises and cloud applications is becoming increasingly common. To ensure that these systems and applications run smoothly and without downtime or downtime, a number of tools are required to keep mission-critical processes up and running and to minimize downtime.
About
Cloud and Data Center
Whether operated independently or externally, IT systems and applications are at the heart of businesses. They are firmly integrated into workflows and form the basis of many digitized business processes.
Virtualized machines and containers offer a high degree of flexibility and scalability for cloud applications. Depending on the workload, resources can be added or removed dynamically and automatically.
At the same time, parallel use of on-premises and cloud applications is becoming increasingly common. To ensure that these systems and applications run smoothly and without downtime or downtime, a number of tools are required to keep mission-critical processes up and running and to minimize downtime.
About
Document infrastructure and automate data center processes
Digitization is causing corporate IT infrastructures to continue to grow and grow: More and more business-critical processes and even entire business models rely on all technical components in the data center to function smoothly. Central IT documentation with a CMDB such as i-doit ensures that IT managers maintain an overview and that processes run smoothly.
For small and large companies alike, the introduction of systematic IT documentation can be simple and pragmatic, and then continuously developed.
We help you document your data center infrastructure step by step and automate data center processes.
About
Document infrastructure and automate data center processes
Digitization is causing corporate IT infrastructures to continue to grow and grow: More and more business-critical processes and even entire business models rely on all technical components in the data center to function smoothly. Central IT documentation with a CMDB such as i-doit ensures that IT managers maintain an overview and that processes run smoothly.
For small and large companies alike, the introduction of systematic IT documentation can be simple and pragmatic, and then continuously developed.
We help you document your data center infrastructure step by step and automate data center processes.
About
How IT documentation supports IT service management
The central IT documentation of systems in the data center gives IT administrators a precise overview of the status and relationships of various aspects in their IT landscape. If errors, failures or even security-relevant events occur here, it is usually necessary to react quickly and communicate clearly.
Observability
Links
Solutions
Monitoring
Log Analysis
Time Series Database
Products
Sensu & Grafana
Elastic Stack
Influxdb
becon blog
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