Operations | Monitoring | ITSM | DevOps | Cloud

For decades, many of the world’s top enterprises have trusted IBM Power Systems to run their mission-critical applications. IBM’s proprietary Unix operating system, AIX, is widely used in enterprise IT environments for its reliability, availability, and serviceability (RAS). As a result, performance optimization of AIX infrastructure is crucial.

Would you rather have an Incident Management system custom-built to your exact specifications, potentially costing more time and resources, or an off-the-shelf solution that's ready to deploy but might not fit all your unique needs? Decision makers in companies often face this critical decision. And, that’s the debate of the day! Let’s explore and decode the decision of building vs. buying an Incident Management software.

Business consultants are leveraging software and workflow AI to radically elevate service delivery. ‍ According to a survey by Hinge Marketing, the top three reasons businesses hire consultants are to (70%) access specialized expertise, (52%) gain an outside perspective, and (44%) supplement internal resources.

Today, we are excited to announce that we are releasing new code for the OpenTelemetry Datadog receiver as open source. This code allows users to translate Datadog metric formats into native OTLP format. These metrics can then be sent to any OpenTelemetry-compatible metrics system, whether it’s Prometheus, Grafana Mimir, or another backend database.

End-of-day (EOD) processing is a vital routine for retail businesses, encompassing a series of essential tasks that ensure seamless store operations. At the close of each business day, various systems must reconcile transactions, update inventory, process sales data, and generate reports. These activities are crucial for maintaining accurate financial records, optimizing stock levels, and preparing for the next business day.

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.