Operations | Monitoring | ITSM | DevOps | Cloud

Find out how to effectively and easily monitor and troubleshoot Dnsmasq for DHCP using Netdata.

A hybrid infrastructure brings business benefits but it also brings new challenges. Migrating workloads to the cloud is a complex operation that generates more data than engineering teams can adequately manage. Traditional monitoring tools are limited in helping teams find and fix problems during and after a cloud migration. This can throw business strategies off course, limit customer value and hurt the bottom line.

In data management, numerous roles rely on and regularly use observability data. The Site Reliability Engineer is one of these roles. Site Reliability Engineers (SREs) work on the digital frontlines, ensuring performant experiences by using observability data to maintain stability and awareness of software running in various environments across organizations.

When you run the uptime command, most of you might be familiar with the three numbers appearing on the top right corner of your Linux screen. But, do you know what those numbers indicate or why there are three such numbers? It is called the load average, a metric that assesses the load on your computer systems. While it can be considered a precise tool for measuring system and resource engagement, it would only be worthwhile if you understand it right.

Time series data often comes in large volumes that need to be handled carefully to produce insights in near real time. We’re constantly moving through time. The time it took you to read this sentence is now forever in the past, unchangeable. This leads to something unique about data with a time dimension: It can only go in one direction. Time series data is different from other data for many reasons.

Most customers running Kubernetes clusters Amazon EKS are regularly looking for ways to better understand and control their costs. While EKS simplifies Kubernetes operations tasks, customers also want to understand the cost drivers for containerized applications running on EKS and best practices for controlling costs. Anodot has collaborated with Amazon Web Services (AWS) to address these needs and share best practices on optimizing Amazon EKS costs.

We are at the cusp of an important technology transformation. A discontinuity in technology as Peter Drucker would call it (precipitated by Covid). For decades, IT organizations invested in building, managing, and monitoring LANs. Everything was on your local network: your CRM, your Exchange email, the file shares, and the print server. Today, many companies are shutting down their “old legacy network” and are running their enterprise without a LAN, WAN, or an OnPrem datacenter.

Is all observability data worth the same cost? If you guessed no, then you’d obviously be correct. Anyone familiar with the very nature of gaining targeted observability knows that some data points hold more value than others. Yet, many observability platforms still treat all types of log data the same, and as a result, related costs remain uniform. One of the most persistent observability challenges today is the cost of indexing log data.

Software development doesn’t end when deployment is complete. Instead, developers constantly tamper with the code even after deploying the app. Staying up-to-date with security fixes, bugs, and dependencies is crucial to ensure your app performs properly. After all, nobody wants a malfunctioning product, right? GitHub Dependabotis one of the several tools you can use to update dependencies.