Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

Deploying The ELK Stack on Kubernetes

The ELK (Elasticsearch, Logstash, and Kibana) stack’s main objective is to aggregate logs, but the vastly popular open-source project has numerous uses alongside aggregating logs. ELK can easily integrate with Kubernetes and is a common solution that enables users to gather, store, and examine Kubernetes telemetry data. However, with the continual rise of micro-service architecture, users are searching for an improved method of aggregating and searching through logs for debugging purposes.

Square Pegs, Round Holes: The Challenge of Integrating MELT Data into Traditional Data Warehouses

This is the first in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the second and third posts, you can find them here and here. Imagine this scenario: You’re grappling with the ever-escalating costs of your legacy solutions. What’s the logical next step? For many, it’s exploring the new wave of tools emerging, such as data warehouses.

Cribl Collaborates with Microsoft: Empowering Enterprises to Strengthen their Security Operations

As the cybersecurity landscape becomes more and more complex. It seems like we hear about a major breach of a different company every day. Enterprises are looking for robust solutions to help them manage the surge in data and security incidents. That’s why our recent collaboration announcement with Microsoft means so much to us. It’s not just a piece of paper; it’s a testament to our dedication to providing customers with the best tools and solutions for the job.

Database Monitoring: troubleshooting from the bottom up

A healthy relationship between services and databases is fundamental to overall application performance. Unchecked database issues can compromise application efficiency, user experience, and ultimately, your organization’s bottom line. To steer clear of these consequences, monitoring your databases should be a key component of your observability—and with the launch of Coralogix Database Monitoring, it can be.

Managing High Volume with OpenTelemetry

As your systems grow, so do the challenges of managing high-volume telemetry data. From horizontal scalability strategies to efficient data aggregation and storage techniques, we'll cover everything you need to know to keep pace with your expanding infrastructure. Don't let scalability constraints hinder your observability efforts—learn how OpenTelemetry can empower you to manage high volumes of telemetry data effectively and efficiently.

What Is Log Monitoring? It's Importance, Key Components and Open-Source Options

In its simplest terms, log monitoring is the process of systematically collecting, storing, analyzing, and alerting on log data generated by various systems, applications, and devices within a DevOps environment. Logs are essentially records of events, transactions, and activities that occur within these systems. They can contain valuable information about system errors, performance metrics, user activities, and security events.

The Art of Visibility: Constructing an OpenTelemetry Observability Pipeline

Craft an observability pipeline that offers unparalleled insights into your systems and applications. Watch as we explore the art of constructing an OpenTelemetry observability pipeline, from instrumenting your codebase to effectively analyzing and visualizing telemetry data. Whether you're aiming to enhance troubleshooting, optimize performance, or gain a deeper understanding of your environment, this video series will equip you with the knowledge and tools to elevate your observability game.

The Leading Redis Monitoring Tools

Redis, which stands for remote dictionary server, is an open-source, in-memory data structure store that is commonly used as a database, cache, and message broker. Utilizing Redis provides numerous benefits for your team and organization, which have helped drive the tool's increase in popularity. A key example of this is speed, Redis works primarily in memory, making it particularly fast for data operations.