Telemetry & Observability

With the rising complexity of today's architectures and the era of microservices and distributed systems, the bar is set high for development teams seeking to troubleshoot problems or optimize systems. As we have discovered, data is the new gold and plays a significant role in understanding system complexity. One possible solution to address distribution and scalability challenges is telemetry, which provides insights into the system and makes it observable.

Observability Playground
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Effective troubleshooting

Reduce downtime and improve the overall performance of the system by quickly identifying bottlenecks or errors

Fast corrective actions

Easily correlate root causes across various data sources to quickly pinpoint and resolve issues within the system

Pinpoint performance issues

Uncover performance issues, optimize the software, and ensure that it is performing at its best

Real-time feedback

See interactions with the system and quickly make optimization adjustments to improve the user experience

Put on guard

Build awareness of current state of the system and ensure quick and timely resolution of issues

Unleash the power of data

Gain insights into system to improve user experience and identify new business opportunities

TECHNOLOGY STACK
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Telemetry

Telemetry is a powerful tool that can greatly benefit software development teams by providing valuable insights into the performance and behavior of their software. By monitoring various data sources such as traces, logs, and metrics, telemetry enables developers to identify and troubleshoot performance bottlenecks and errors within their microservices quickly. This helps to reduce downtime and improve the overall performance of the software.

Telemetry also enables developers to correlate root causes across different data sources, providing a comprehensive view of the system and helping to identify the root cause of any issues that arise. This helps take corrective action quickly and improve the software's overall stability and reliability.

Collect and analyze
Identify and troubleshoot
Observe and improve
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Analysis

One of the most significant benefits of telemetry is the ability to unleash the power of data analytics. The data gathered through telemetry can be analyzed to gain insights into system performance, user behavior, and other important metrics. This information can be used to optimize the software, improve user experience, and identify new business opportunities.

Telemetry data also provides feedback on the behavior of systems making quick adjustments possible. Teams having visibility into how users are interacting and how the system is responding, allows them to track and respond to any issues that arise.

Gain insights into system
Correlate root causes
Pinpoint performance issues
Monitoring and alerting dashboard

Alerting

The Instrumented system provides data that is collected in the observability backend, which enables setting up alerts and issuing notifications when problems arise. A regularly monitored system can be described by various metrics related to resource consumption by the application and infrastructure, such as CPU or memory utilization, request rates, and response times.

Processing telemetry data and periodically analyzing various metrics allows addressing the question of system reliability and building awareness of the provided business value.

Measure and evaluate
Alert and respond
Increase awareness of the system
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Anomaly Detection

Implementing observability helps identify abnormal behavior or unexpected events within a system. By analyzing the collected data, an observability system can establish a baseline for normal behavior and then detect any deviations from this baseline. These deviations can be caused by a variety of issues, such as network outages, hardware failures, or software bugs.

Anomaly detection can help to proactively identify and handle novel problems and potential issues before they escalate and cause significant damage to the system.

Continuous monitoring and alerting
Detection of abnormal patterns
Machine learning techniques
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Adding observability is a crucial step in ensuring efficient and uninterrupted operations. Take advantage of our experience, gain visibility into your system and make informed decisions.

1

Discovery

We help you define the requirements for observability. This includes the metrics, logs, and traces that need to be collected to ensure telemetry and understand a system from the outside.

2

Toolbox

Our team supports the right observability instruments selection. Applying the right tools for the job allows you to monitor system reliability and performance.

3

Instrumentation

Instrument the system by adding the necessary libraries or agents to collect the required data. This way the system emits traces, logs and metrics becoming observable.

4

Collection

Once the instrumentation is in place, data will be collected and stored for further analysis. This will paint the picture of a system and support monitoring and troubleshooting.

5

Visualize

We help you to design and create dashboards and visualizations. This will provide a clear and concise view of the system health and help in identifying potential issues or places for optimization.

6

Monitor

Our team helps you to use the data. Based on the collected information you can continuously monitor the system and notify appropriate teams when an alert is triggered.

Use cases