Operations | Monitoring | ITSM | DevOps | Cloud

If you’re just getting familiar with full-stack observability and Coralogix and you want to send us your metrics and traces using the new OpenTelemetry Community Demo Application, this blog is here to help you get started. In this simple, step-by-step guide, you will learn how to get telemetry data produced by the OpenTelemetry Demo Webstore into your Coralogix dashboard using Docker on your local machine.

A new year means a new set of goals. In 2022, we set some lofty goals to help our customers achieve clarity across their modern IT infrastructure. We set out to do this by improving our log collection and analysis within LM Envision, our unified observability platform, which was announced at LogicMonitor’s Elevate user conference this summer. At the conference, we gathered feedback to understand the various ways our customers access and review log data.

One tool for all your Python performance tracking needs We're building this neat service in Python to ingest data in Elasticsearch from various sources (MySQL, Network Drive, AWS, etc.) for Enterprise Search. Sucking data from a third-party service to Elasticsearch is usually an I/O-bound activity. Your code sits on opened sockets and passes data from one end to the other. That's a great use case for an asynchronous application in Python, but it needs to be carefully crafted.

In the world of observability, there are several distinct problems to solve. Fast queries, intuitive visualizations, scalable storage, and more. The technical problems receive the most attention; however, there is another, more subtle problem. How do observability platforms facilitate collaboration on the scale needed by organizations?

Syslog is a standard for message logging that allows devices such as routers, switches, and servers to send event messages to a central log server. The messages sent by these devices are known as syslog messages and include information such as the date, time, device hostname, and message content. Syslog was originally developed as a part of the BSD operating system, but many other operating systems and network devices have since adopted it.

A logs UI is a user interface for displaying log data. Logs are records of events that happen on a computer system, such as messages indicating that a particular operation has been performed or an error has occurred. A logs UI typically allows a user to view and search through log data and may also provide features such as filtering and highlighting to help the user find specific log entries of interest.

Logging as a service (LAAS) is a type of cloud computing service that allows organizations to store and manage their log data in a central location. This type of service typically includes features such as centralized storage, real-time analytics, and search capabilities, as well as tools for visualizing and analyzing log data. Logs help you debug and troubleshoot your applications. They are also useful for other purposes like auditing and compliance, performance monitoring, and security.

Client logging refers to the practice of collecting and storing log messages generated by client software, such as a web browser or mobile application. These log messages can provide valuable information about the behavior and performance of the client software, as well as any errors or issues that may have occurred. Client logging is often used by developers to troubleshoot and debug software issues, as well as to gather data for analysis and performance optimization.

If you are like me, I always look forward to reading (here writing) a company's Year in Review and this year is no different. However, as I reflect back on 2022, I realized we achieved a five year anniversary. An anniversary of completing a very big vision of transforming customer’s cloud object storage such as AWS S3 into the first stream-based Search+SQL Analytic Database. Initially providing access via the Elastic (Search) API, then Presto (SQL), at scale and in production.