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Monitoring

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Getting At The Good Stuff: How To Sample Traces in Honeycomb

(This is the first post by our new head of Customer Success, Irving.) Sampling is a must for applications at scale; it’s a technique for reducing the burden on your infrastructure and telemetry systems by only keeping data on a statistical sample of requests rather than 100% of requests. Large systems may produce large volumes of similar requests which can be de-duplicated.

Getting Started with InfluxDB and Pandas

InfluxData prides itself on prioritizing developer happiness. A large part of maintaining developer happiness is providing client libraries that allow users to interact with the database through the language and library of their choosing. Data analysis is the task most broadly associated with Python use cases, accounting for 58% of Python tasks, so it makes sense that Pandas is the second most popular library for Python users.

Tracking Systems Metrics with collectd

System administrators hold many key responsibilities within an IT organization. Most importantly, they must ensure that all systems, services, and applications are up, running, and performing as expected. When a system starts to lag or an application is down, the system administrators are called upon to troubleshoot and resolve the issue as quickly as possible to limit the impact on customers.

8 Mobile Apps That Help You Create Content With Unique Features

Creating content for your website is like decorating the interior of your new house, if you don’t get it right, you would have your visitors dissatisfied and see them leave! Whether it is business or life, time is of the essence and the biggest currency in modern times. So, how can you create unique content, coping up with your busy schedule and other projects? It is quite simple, and you can go mobile! How?

Weekly and Monthly Alert Insights

SRE and Security teams rely heavily on alerts to know whether their systems are experiencing issues and to prevent any future outages. At LogDNA, customers can set alerts that trigger when specific logs match (presence alerts) or set an alert to go off if there are expected lines that haven’t come through (absence alerts). These alerts can be set up with various channels so you can be alerted in the product of your choice (Slack, Email, PagerDuty, etc).

Securing Sensu 101

Because monitoring requires some degree of access to your applications, it’s important that you take certain steps to ensure the right amount of access without compromising your app’s security. In this first in a series of posts, we’ll go over some high-level best practices to securing Sensu, followed by a webinar later this month which will offer a deeper dive into setting up certificates.

2019 Magecart Timeline

We break down the timeline of the number one threat to ecommerce sites today – Magecart! This timeline includes all the significant Magecart attacks in 2019. With 4,800 formjacking attacks each month alone, this timeline only represents a small proportion of attacks reported in the public domain in 2019. Detect Web-skimming, Formjacking, and Supply Chain attacks before a Data Breach occurs with Magecart detection.

Everything You Need to Know About the Grafana-Prometheus-GitLab Integration

You probably missed it. Don’t feel bad. It was just one small paragraph, buried in the GitLab 11.9 Omnibus Release Notes: Grafana is now bundled in our Omnibus package, making it easier than ever to understand how your instance is performing. “Omnibus” is what GitLab calls its main installation package, and “Grafana” is the time-series visualization software, but what does this paragraph even mean?

Pros and Cons of Using structure.sql in Your Ruby on Rails Application

In today’s post, we’ll cover the significant differences and benefits of using structure.sql versus the default schema.rb schema formats in your Ruby on Rails application. In a data-driven world, knowing how to exploit all of your database’s rich features can make the difference between a successful and unsuccessful enterprise.