As a key part of furthering its autonomous IT operations vision, OpsRamp, a Hewlett Packard Enterprise company, this week announced its new operations copilot feature, a natural-language interface that enables enterprises to identify, predict and solve IT problems more quickly by converting machine data into a human-friendly and actionable form.

Artificial intelligence is a game-changing technology across industries and business processes, designed to make workers more efficient, reduce the steps it takes to complete a task, and gain answers and insights faster. But those powerful capabilities also put new demands on compute infrastructure and this requires a new class of infrastructure observability metrics.

Autonomous IT operations requires 100 percent visibility of hybrid IT environments. With that in mind, OpsRamp, a Hewlett Packard Enterprise company, today announced a new network observability solution to help enterprise IT organizations, global systems integrators (GSIs) and managed service providers (MSPs) better manage the mission-critical network infrastructure that connects and powers their hybrid cloud systems.

It takes a complex IT infrastructure of on-premises and multi-cloud environments to support a satellite communications business like EchoStar’s that serves corporate and government clients around the world. For customers, these services are mission-critical so keeping services operational is vital for the service provider. But EchoStar had a problem. It was trying to manage this complex IT infrastructure with eight different legacy monitoring tools running across 75 different internal servers.

In today's fast-paced digital landscape, maintaining robust and efficient IT operations is more critical than ever. As organizations embrace complex infrastructures, integrating cloud services, microservices, and distributed architectures, the need for comprehensive visibility across the entire stack becomes paramount.

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.