Operations | Monitoring | ITSM | DevOps | Cloud

OpenTelemetry is an open-source observability framework designed to capture distributed traces and metrics from applications and services. It provides a standardized way to collect, process, and export telemetry data to various backends like tracing systems, monitoring platforms, and logging tools. OpenTelemetry, currently an incubating project at the Cloud Native Computing Foundation, is the merger of two popular observability projects: OpenTracing and OpenCensus.

AI is transforming every aspect of our lives, and the world of IT operations is no exception. AIOps (artificial intelligence for IT operations) is no longer a luxury but a necessity in today’s increasingly complex IT environments. A recent OpsRamp survey found that 87% of respondents agree that AIOps tools are improving their data driven collaboration. Organizations today have complex hybrid cloud technology landscapes.

Editor’s Note: This is the fourth and final installment of a series of blog posts previewing our State of Observability 2024 survey report. In last week’s episode of this blog series, we looked at whether observability is replacing or enhancing existing IT monitoring tools. This week, we’ll look at why metrics are the most important observability data type to ITOps teams and what's holding back tracing.

Editor’s Note: This is the third installment of a series of blog posts previewing our State of Observability 2024 survey report. So far in this blog series, we’ve looked at where enterprises and MSPs are in their observability journeys and the benefits and challenges of their observability deployments. This week, we look at whether the observability story so far is more about replacing or enhancing existing IT management tools.

Editor’s Note: This is the second installment of a series of blog posts previewing our State of Observability 2024 survey report. In the first episode of this blog series, we looked at where IT organizations are in their observability journeys and found, rather surprisingly, that most enterprise IT organizations and MSPs were just getting started in observability. Yet 96% of respondents told us their observability solution was delivering the value they expected.

For nearly a decade now, observability has been one of the hottest topics in IT operations. Borrowed from control theory in engineering, observability in IT operations means measuring a system’s performance by the data it generates, typically metrics, events, logs and traces.

You may have heard the phrase “from the edge to the cloud” but what does it really mean, how can your organization take advantage of it, and how can HPE and OpsRamp, a Hewlett Packard Enterprise company, help? Edge to cloud refers to the fact that enterprise data is no longer confined to the traditional data center. It is being generated and processed at the edge in ever-increasing amounts, then stored in the cloud, and used by an increasingly distributed global workforce.

I recently had the privilege of attending KubeCon + CloudNativeCon Europe 2024 in Paris. The conference, hosted by the Linux Foundation, marked the 10th anniversary of Kubernetes. Here are the key takeaways and highlights from the conference.

In today's rapidly evolving digital landscape, efficient management of virtualized environments is crucial for businesses to maintain operational excellence and a competitive advantage. These virtualized environments are the foundation of most private cloud initiatives. OpsRamp, a leading provider of digital operations management solutions and a Hewlett Packard Enterprise company, offers a comprehensive set of capabilities tailored to streamline virtualization management.

It’s April 22 and everybody knows today is Earth Day. But do you know how much energy your IT infrastructure is consuming and what that translates to in cost and carbon footprint? As we place more demands on our IT infrastructure to store and manage the reams of data we’re collecting and run advanced analytics and artificial intelligence on that data, we are inevitably consuming more energy in our data centers.