Operations | Monitoring | ITSM | DevOps | Cloud

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.

This past year was another busy one for the internet. In this blog post, I will highlight some of the top pieces of analysis that we published in the past 12 months. This analysis employs Kentik’s data, technology, and expertise to inform the industry and the public about issues involving the technical underpinnings of the global internet and how global events can impact connectivity. These posts are organized into two broad categories: major internet disruptions and BGP routing security.

In 2019, KCB Bank Uganda reviewed its systems and came to a startling realization: Due to outdated monitoring processes, its services could be down for hours before anyone was alerted internally. This downtime led to frustrated consumers, a rise in customer service complaints, and a decline in revenue.

The earlier you can integrate APM metrics into your application, especially in your staging environment, the better. Why? Using APM metrics can help with visibility in your application development process, as the sooner you can see how your latest code performs, the faster you can optimize your application.

Find out how to effectively and easily monitor and troubleshoot CoreDNS using Netdata.

It should surprise no one that Kubernetes uptake is growing and will continue to do so. The wildly popular container orchestration platform’s continuous development is fueled by broad adoption. This will continue in 2023 as more companies, teams and individuals embrace it as a platform for innovation, building new applications and scaling existing ones faster than ever before.