There are many problems that modern data infrastructure faces. One of these is observability. What is observability, you ask? It is the ability to see into your system to diagnose and fix issues. In the past, it was easy to tell when something was wrong with your system. Your applications would crash, or you would see errors in your logs. Today, however, things are a bit more complicated. With microservices and distributed systems, it can be difficult to determine where an issue is occurring. In this article we will address some the of overarching challenges modern data infrastructure is facing.
Volume of Data
The volume of data is constantly increasing, making it difficult to store and manage. One way to address this issue is to invest in a scalable storage solution. This will allow you to easily add more storage capacity as your needs grow.
Data is becoming more complex, making it harder to analyze. One way to overcome this challenge is to use data visualization tools. These tools can help you make sense of complex data sets by displaying them in an easy-to-understand visual format.
Expanding Data Sources
The variety of data sources is growing, making it difficult to consolidate. To deal with this problem, you need to implement a data management platform that can integrate with multiple data sources. This will allow you to easily access and analyze all of your data in one place.
Shortage Of Qualified Professionals
There is a shortage of qualified data professionals, making it hard to find people who can help manage and analyze data. One way to address this issue is to invest in data management and analysis software. This type of software can automate many of the tasks that are typically performed by human analysts.
Hurdles For Businesses Sharing Data
Security and privacy concerns are preventing businesses from sharing data. To overcome this challenge, you need to implement a data security solution that will protect your data from unauthorized access.
Regulations are changing rapidly, making it difficult for businesses to keep up. One way to deal with this problem is to use a compliance management platform. This type of platform can help you track changes in regulations and ensure that your business is compliant with all applicable laws.
Observability Some Of The Key Features Of Observability And How They Help You Manage Your Data Infrastructure
- Monitoring is the process of collecting data about your system’s performance. This data can be used to identify current and potential issues.
- Logging: is the process of recording what happens in your system. This data can be used to troubleshoot issues, collect and store application and system logs for later analysis.
- Metrics: Monitor key performance indicators (KPIs) to identify issues early on.
- Tracing: is the process of following a request as it moves through your system. This data can be used to identify where an issue is occurring and follow the path of a request as it moves through your system to identify bottlenecks.
- Alerting: Set up alerts to notify you when an issue arises so that you can take action quickly.
How To Get Started And Begin Reaping Benefits
There are many tools available to help you get started. Some of these tools are open source, while others are commercial. Here are a few options to get you started:
- OpenTracing: An open standard for distributed tracing.
- Zipkin: A distributed tracing system developed by Twitter.
- AppDynamics: A commercial application performance monitoring tool.
Getting started easy! All you need to do is choose a tool and start instrumenting your applications. Once you have data flowing into your platform, you can start to reap the benefits of being able to see into your system and identify issues quickly.
In spite of these challenges, the future of is looking bright! With the help of AI and ML, we will soon be able to automate the collection and analysis of data. This will help us identify issues quicker and improve our data infrastructure.