Operations | Monitoring | ITSM | DevOps | Cloud

Elastic has an entirely new Heartbeat/Synthetics workflow superior to the current workflow. If you’re a current user of the Elastic Uptime app, read on to learn about the improved workflow you can use today and should eventually migrate toward.

OpenTelemetry consists of several main components. But to understand the architecture, we will start by understanding some of the key design principles behind the design and architecture of OpenTelemetry. But before that, let us have a brief overview of OpenTelemetry.

Complex environments are notorious for generating a high volume of alerts. For IT teams, this deluge presents a critical, time-consuming challenge. Managing alerts and incident response keeps these busy professionals under constant pressure and risks alert fatigue. Nonstop “noise” can desensitize people and actually lead to missed or ignored alerts—risking delayed responses and downtime. These high stakes make handling alerts a key security and productivity issue.

In an earlier blog post we talked about how to stream data from the Mastodon timeline into an Apache Kafka® cluster. If you missed it, read it to learn how to connect to Mastodon and stream data into an Apache Kafka topic. This article assumes that you already have an Apache Kafka environment running with data in a topic that is called Mastodon.

Unmanageable incidents are what nightmares are made for – as far as ITOps managers and their teams are concerned. Sometimes, risks become issues. Other times, incidents turn into problems. Any of these could lead to disastrous consequences, such as security breaches, unexpected data risks, and unplanned application downtimes, which directly impact the organization.

Developer environments can streamline testing, and can encourage experimentation and creativity from engineers and non-engineers alike. In this article, we’ll take a look at the pros and cons of developer environments, and dive into best practices for those who adopt them.

In this series, we’ve been exploring the different layers of business value you can gain from deploying software more frequently. We’ve already looked at the hard costs you can save, and the valuable developer time you can recoup. But that’s not the end of the story. Not by far. Picture an iceberg. The top, the visible part, is those hard costs. Just beneath the surface is that time that can be gained by redeploying wasted time to projects that matter.

In my last blog I took a look at some of what I see as the most obvious signs that your MSP business might have outgrown its RMM. These included: In this blog, I’m going to turn my attention to looking at some of the less obvious signs to reconsider your RMM.

The team at Cloudsmith is excited to build upon our past support and integration with Hashicorp Terraform to include managing teams, update repository settings, and manage services (API Keys) via the Terraform Provider Module. The team at Cloudsmith is excited to build upon our past support and integration with Hashicorp Terraform to include managing teams, update repository settings, and manage services (API Keys) via the Terraform Provider Module.

Prometheus metrics are usually visualized as numeric values on a graph, with the metrics categorized by labels. But what do you do when the numerical value doesn’t matter, and all of the information is in the labels? In that case, you might need to visualize the labels themselves. This scenario can arise because you’re not always in control of how the metrics get reported, but you do often need to visualize what’s there.