Operations | Monitoring | ITSM | DevOps | Cloud

Goutham Veeramachaneni, a product manager at Grafana Labs, and Carrie Edwards, a senior software engineer at Grafana Labs, are both contributors to the Prometheus open source project. This post, which they wrote together, was originally published on the Prometheus.io blog in March 2024. The OpenTelemetry project is an observability framework and toolkit designed to create and manage telemetry data such as traces, metrics, and logs.

Observability is the process of understanding complex systems by analyzing their outcomes and enhancing those outcomes by monitoring events within the system. Today, observability is essential for IT services to achieve a better user experience and optimize software performance. With cloud platforms dominating the IT services landscape, organizations are inclined to deploy their software and hardware systems in the cloud to reduce operational costs and enhance flexibility.

To increase business agility, IT organizations are deploying dynamic, modern architectures enabled by virtualization technologies. That includes containers, elastic clouds, microservices, and virtual machines. If you are rethinking your IT stack, you must also reconsider its management. IT operational silos limit business velocity.

We are very excited to announce that we redesigned our monitoring results chart to make it easier for you to understand check performance over time and easily investigate any past anomaly. The redesign is a result of our UX research that showed that the old check overview chart made it challenging for users to find check results from the past. While we were redesigning our monitoring results charts, we wanted to achieve two things: And, we achieved this in three attempts. Let’s dive in.

While the Biden administration aggressively pushes federal agencies to modernize their IT infrastructures, ITOps managers are left wondering how to do so without making network management more complex than it already is. Modernization necessitates the addition of more tools, which can easily lead to tool sprawl and increase technical debt. Managers are already using multitudes of vendor-specific tools to monitor different devices and applications. The last thing they want is to add more.

In the digital age, efficient document management is more than a convenience—it’s a necessity. SharePoint, a product of Microsoft, stands out as a premier tool for organizing, storing, and retrieving documents. But the real game-changer within SharePoint is the feature known as “Document Sets.” Document Sets in SharePoint serve as a method to group related documents together, allowing them to be managed as a single unit.

One of the biggest challenges that cloud service providers (CSPs) face these days is to deliver an extension of the public cloud they host to a small-scale piece of infrastructure that runs on customers’ premises. While the world’s tech giants, such as Amazon or Azure, have developed their own solutions for this purpose, many smaller, regional CSPs rely on open source projects like OpenStack instead.=

AWS Elastic Beanstalk streamlines the deployment and management of applications in the cloud, offering developers an easy way to deploy services without worrying about the underlying infrastructure. However, while it simplifies many aspects of cloud deployment, it also presents challenges, including limited customization and potential vendor lock-in, which might not suit all project needs or scalability requirements.

Whether you are a developer, an IT professional, or a tech leader in your organization, AWS Fargate promises to make provisioning, configuring, and managing your containers’ servers easier. AWS Fargate is like that cool gadget you didn’t know you needed – it’s nifty, powerful, and a bit mysterious. In this post, we’re unraveling the mystery, including what Fargate is, its key features, and how it stacks up in terms of pricing and performance for serverless computing.

As data keeps growing at incredible rates, it’s becoming increasingly difficult to store and monitor at a reasonable cost leaving you to cherry-pick which data to store. As developers are accustomed to integrating metrics within their logs and spans, this can result in poor monitoring & analysis, alert fatigue, and longer MTTR. Teams are left having to dig out the most relevant data, which results in missed trends and analysis.