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This blog series explores how Zabbix and Nagios users can leverage the SRE Golden Signals for effective application monitoring. It focuses on the importance of monitoring for maintaining high availability and introduces the concept of SRE Golden Signals.

SRE Golden Signals: These are four core metrics (Latency, Traffic, Errors, Saturation) that provide a foundational understanding of a system's health.

The blog delves into Latency, explaining how to measure it from different perspectives (client vs server) and the importance of differentiating between successful and failed request latencies. It highlights how Zabbix and Nagios can be configured to address these aspects.

The summary mentions that future parts will explore the remaining Golden Signals (Traffic, Errors, Saturation) and even delve into strategies for incorporating additional metrics for more in-depth monitoring.

This blog post compared Sentry and Bugsnag, two popular error monitoring tools for software development teams. Here's a summary:

Both tools effectively identify and fix errors. Sentry offers a wider range of features, including performance monitoring and user feedback capture, while Bugsnag excels at delivering actionable insights through automatic error grouping.

Integration with development workflows is easy for both. They provide SDKs and plugins for various programming languages and frameworks.

Customization is a key strength of Sentry. It allows for tailoring error tracking and reporting, while Bugsnag prioritizes pre-configured insights with features like smart notifications.

User interfaces are modern and user-friendly. Sentry offers more customization options for dashboards and workflows, while Bugsnag focuses on prominent error grouping and search functionalities.

Pricing caters to different team sizes. Sentry has a free plan ideal for small teams, while Bugsnag offers a free trial and caters more towards enterprises with advanced features.

Ultimately, the best choice depends on your team's needs. Choose Sentry for extensive customization and a free plan, or Bugsnag for actionable insights and advanced features for larger projects.

This article compares Sentry.io vs Datadog, two popular monitoring and alerting solutions for DevOps teams. Sentry.io excels in error tracking and performance monitoring, while Datadog offers a wider range of monitoring capabilities including infrastructure, application performance, and logs. Both are easy to use and integrate with other tools. Sentry.io is better for those who prioritize error tracking, while Datadog is more suitable for organizations with diverse monitoring needs. The choice depends on your specific requirements and budget.

Zabbix vs Grafana: Choosing the Right Monitoring Tool

Both Zabbix and Grafana are open-source tools that help monitor IT infrastructure, but they serve different purposes.

Zabbix: Offers comprehensive monitoring with features like alerting, reporting, and data analysis. It's ideal for enterprises needing deep visibility and control.

Grafana: Excels in data visualization, creating beautiful dashboards from various sources. It's user-friendly and integrates well with existing tools.

Key Differences:

Functionality: Zabbix monitors, Grafana visualizes.

User Interface: Zabbix is functional, Grafana is visually appealing.

Alerting: Zabbix has built-in alerting, Grafana integrates with external tools.

Setup: Zabbix is more complex, Grafana is easier to set up.

Pricing: Both have free versions with paid options for enterprise features.

The best choice depends on your needs. Zabbix is ideal for comprehensive monitoring, while Grafana is better for data visualization. They can even work together for a powerful solution.

We can’t let our databases fail. We need to have measures in place to guarantee that the crucial business data is not impacted. One way of doing that is real-time database monitoring which involves continuously observing, analyzing, and managing the performance and health of a database system. Let's see what that is and how to use it.

OpenTeleletry Collector is an open source data collection pipeline that allows you to monitor CPU, RAM, disk, network metrics, and many more.

Collector itself does not include built-in storage or analysis capabilities, but you can export the data to Uptrace and ClickHouse, using them as a replacement for Grafana and Prometheus.

When compared to Prometheus, ClickHouse can offer small on-disk data size and better query performance when analyzing millions of timeseries.

The unprecedented growth of data in recent years has led to a demand for evolution in traditional monitoring practices.

The current observability maturity model is a good solution but needs further augmentations.

The widely accepted model includes the following stages:

1) Monitoring (Is everything in working order?)

2) Observability (Why is it not working?)

3) Full-Stack Observability (What is the origin of the problem, and what are its consequences?)

4) Intelligent Observability (How to predict anomalies and automate response?)

LOGIQ is supporting the next stage in the model i.e, Federated Observability. In other words, data availability for consumers with on-demand convenience.

In part 1 I proposed a simple modification to Google’s Multi-Window Multi-Burn Rate alerting setup and I showed how this modification addresses the cases of varying-traffic services and typical latency SLOs.

Holiday season's peak traffic is the most challenging period for SREs and on-call engineers. In this blog, we have highlighted the things that SREs can do to make the holiday season less chaotic.

Vendor lock-in refers to a situation where the cost of switching to a different vendor is so high that the customer is essentially stuck with the original vendor