logz.io

logz.io

Prometheus vs Nagios

Production environment stability and high availability are the holy grail of every SaaS company. R&D organizations put a lot of effort into achieving these goals by implementing different monitoring and alert methodologies and by utilizing a variety of systems and tools. Mean-time-to-detect (MTTD) and mean-time-to-repair (MTTR) are two crucial KPIs that help R&D management personnel determine the efficiency and proficiency of their teams’ responses to production incidents.

logz.io

Monitoring + Automation: An Elusive Goal

Today’s monitoring investments align more often with automation than any other technology. Automation is one of the principal objectives of DevOps to reduce toil, i.e. manual work. This helps keep engineers happy and engaged, allowing for better scale in building and operating applications. Automation typically spans infrastructure and application technologies. The challenge is that many organizations just have too many automation tools.

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What's New in Logz.io with Infrastructure Monitoring? Upgrading to Grafana 7

Logz.io Infrastructure Monitoring just got some substantive upgrades to kick off the summer. The major change is the Grafana 7 update, specifically to version 7.0.3. This includes several new features. The Logz.io deployment will also include applying Grafana to logs. The Transform tab gives users the option to quickly add non-time series data to tables and then pair it with other data (time series or not) in your Metrics deployment.

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Chaos Engineering for a More Secure Kubernetes

Netflix, Amazon, Google, Facebook, and a host of other companies have adopted chaos engineering, which encourages designing systems to proactively ward off potential issues through testing and the anticipation of failure. When it comes to container orchestration tools like Kubernetes, chaos engineering is a vital tactic for enhancing security.

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Distributed Tracing Tools and New Industry Standards

Metrics and logs have been around for a long time, yet we haven’t adopted common standards for them. Sure, there have been attempts on the metric side with OpenMetrics. Similarly, tracing only got a standardization effort with OpenTracing just a few years ago. There was no effort in a unified approach to standardize all observability signals until OpenTelemetry began a little less than two years ago. And there has been a need.

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Monitoring Zoom Metrics from Your Machine with Logz.io

Like everyone else, my life for the last few months has become a never-ending stream of video calls. With Zoom calls, and the occasional Skype, Google Meet, or Microsoft Teams, becoming the norm I’ve noticed that the fans on my Macbook have been kicking in and sounding like a tiny jet trying to take off.

logz.io

What Are the Hardest Parts of Kubernetes to Learn?

Many enterprises have already adopted Kubernetes or have a Kubernetes migration plan in place, making it clear that the platform is here to stay. While it provides a lot of benefits to its users, to take advantage of them, you need to thoroughly learn Kubernetes and how it works in production. Typically, the most difficult aspects of Kubernetes are learned through experience solving real-world problems.

Introduction to Kibana Best Practices for Log Search and Visualizations

Kibana is a powerful and flexible tool to search and visualize your logs in Elasticsearch – but only if you know how to use it! Zach Hamilton, a Sales Engineer at Logz.io, has enabled hundreds to be successful with Kibana and will provide his insights for best practices in this webinar. Understanding Kibana’s strengths and quirks can help you more efficiently explore your log data so you can quickly understand what’s happening in your environment.