Operations | Monitoring | ITSM | DevOps | Cloud

After a mortgage payment, energy costs are typically the largest household expense. In my case it was an easy decision to install solar panels, but I wanted to perform in-depth analyses with historical data. Deploying monitoring sensors was straightforward; collecting and processing the raw data became the main challenge. Telegraf and InfluxDB are ideal choices for managing time series data. Although I had no prior experience, a Docker instance of Telegraf was onboarded in no time.

Digital transformation has been foundational to any forward-looking business and organizational strategy for many years, but never more so than today. In the digital era, centering an innovative approach to technology at the heart of your business is essential to credibility, impact, growth and efficiency. However, ensuring readiness to adapt to future market, customer or employee needs demands continuous effort and re-appraisal.

AIOps (artificial intelligence in IT operations) in monitoring refers to the convergence of artificial intelligence, machine learning, and data analytics to make IT monitoring a responsive, intelligent, and agile business function. AIOps is not an alternative to DevOps but a great partner to it that provides intelligent insights when integrated with every stage of the cycle.

Infrastructure monitoring is used to collect health and performance data from servers, virtual machines, containers, databases, and other backend components in a tech stack.

Kafka is an open-source program for storing, reading, and analyzing streaming data. It is open-source, which means it’s free-to-use amongst a big community of users and developers contributing to new features, upgrades, and support on a regular basis. Kafka can run on multiple servers as a distributed system, allowing it to take advantage of each server’s processing power and storage capacity.

The Exoprise marketing team sat down with their CEO, Jason Lieblich, to discuss predictive analytics, market trends, and the technology’s usage in troubleshooting network issues.

Like cloud-native and DevOps, full-stack observability is one of those software development terms that can sound like an empty buzzword. Look past the jargon, and you’ll find considerable value to be unlocked from building observability into each layer of your software stack. Before we get into the details of observability, let’s take a moment to discuss the context.

For this Black Friday, Sematext wishes you: Now seriously, applications tend to generate a lot more logs on Black Friday, and they also tend to break down more – making those logs even more precious. If you’re using the Elastic Stack for log management, in this post we’ll share some tips and tricks to prepare you for this extra traffic.

Kubernetes has quickly grown in popularity, also due to its flexibility and power as a container orchestration system. It can scale virtually indefinitely, which has enabled it to provide the backbone for many of the world’s most popular online services. Plus, it is accessible and easy to set up. But, Kubernetes also comes with a few challenges in production.