Operations | Monitoring | ITSM | DevOps | Cloud

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AWS re:Invent 2024: Discover the latest & greatest from Coralogix

As we gear up for AWS re:Invent this December, we’re excited to share some of the latest innovations that make our platform stand out. Coralogix continues to evolve with powerful new capabilities designed to simplify observability, improve performance monitoring, and deliver actionable insights across your systems. From advanced visualization tools to AI-powered troubleshooting, these updates reflect our commitment to empowering teams with smarter, faster ways to solve complex challenges.

How to install collectd and send metrics to MetricFire

MetricFire is a full-scale platform offering infrastructure, system, and application monitoring using open-source monitoring tools. The platform allows you to use Graphite-as-a-Service and display your metrics on aesthetically pleasing Grafana dashboards. Because of its powerful monitoring capabilities, MetricFire allows you to understand complex systems at a glance. This article will highlight everything you need to know to understand and use MetricFire for your business.

The Top 10 Prometheus Alternatives

Prometheus is an open-source monitoring solution, it offers efficient, scalable, and flexible monitoring practices and has emerged as a trusted tool for organizations seeking insights into their systems. It’s written in Go, gathers metrics data, and stores it in a time series database. Also, Prometheus employs a robust query language, PromQL, to manipulate and analyze collected time series data, offering versatile monitoring capabilities for various systems and services.

SMART goals: What they are and how to apply them in IT projects

Whether in personal or professional life, goals always set a direction for where you wish to go, in addition to defining the guidelines with which to reach that desired end. In addition, awareness and motivation are generated about the actions that are carried out, which allows us to focus our energies and efforts.

Integrating Gremlin with your observability tools

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. To get the most value out of Chaos Engineering and reliability testing, you need a way to observe your service’s behavior. Observability tools offer insight into how your systems are performing, but observability on its own isn’t enough. You need a way to monitor your systems while testing their reliability so you can determine whether your service passed or failed a test.

Optimizing Queries in InfluxDB 3.0 Using Progressive Evaluation

In a previous post, we described the technique that makes the ”most recent values” queries hundreds of times faster and has benefited many of our customers. The idea behind this technique is to progressively evaluate time-organized files until we reach the most recent values.

Integrate usage data into your product analytics strategy

Web applications emit a wealth of metadata and user interaction information that’s critical to understanding user behavior. However, parsing this data to find what is most relevant to your product analytics project can be challenging—what one product analyst might find useful, another might consider unnecessary noise.

Observability: Self Hosted vs Fully Managed - Exploring the choices

You are running a complex, mission-critical application, and you understand you need an advanced Observability solution to efficiently troubleshoot and proactively prevent issues. Yet you have a choice to make—should you choose a “Fully Managed” SaaS solution such as Datadog, Newrelic, or Dynatrace, or should you pick an Open-Source solution that you can host yourself?

How we handle sensitive data in BigQuery

As a provider of incident management software, we at incident.io manage sensitive data regarding our customers. This includes Personally Identifiable Information (PII) about their employees, such as emails, first names, and last names, as well as confidential details regarding customer incidents, such as names and summaries. Consequently, we approach the management of this data with a great deal of care.