Operations | Monitoring | ITSM | DevOps | Cloud

bigpanda

How AIOps turns anomaly detection into faster incident resolution

Jan 24, 2024 By Amy Brennen In BigPanda
Quickly finding and resolving monitoring anomalies can make all the difference between service issues – and service excellence. But it’s far from easy, whether you’re trying to sift through countless alerts, understand the context behind anomalies, or swiftly pinpoint their root causes. If you’re an ITOps practitioner or enterprise architect looking to fine-tune your anomaly detection and resolution skills, you’ve come to the right place.
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canonical

Canonical's recipe for High Performance Computing

Jan 24, 2024 By Igor Ljubuncic In Canonical
In essence, High Performance Computing (HPC) is quite simple. Speed and scale. In practice, the concept is quite complex and hard to achieve. It is not dissimilar to what happens when you go from a regular car to a supercar or a hypercar – the challenges and problems you encounter at 100 km/h are vastly different from those at 300 km/h. A whole new set of constraints emerges.
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circleci

LLM hallucinations: How to detect and prevent them with CI

Jan 24, 2024 By Michael Webster In CircleCI
An LLM hallucination occurs when a large language model (LLM) generates a response that is either factually incorrect, nonsensical, or disconnected from the input prompt. Hallucinations are a byproduct of the probabilistic nature of language models, which generate responses based on patterns learned from vast datasets rather than factual understanding.
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turbo360

Azure Storage cost optimization to achieve maximum cost savings

Jan 24, 2024 By Dhanasuya Guruswamy In Turbo360
Azure Storage Cost Optimization is a crucial aspect for organizations looking to harness the power of Azure storage while keeping expenses in check. This involves implementing strategies to minimize expenses, optimize resource utilization, and select appropriate storage types. It encompasses understanding and leveraging various features to optimize resource utilization, choosing the right storage types, and implementing best practices.
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turbo360

Azure Unit Economics for Crafting a Financially Sound Strategy

Jan 24, 2024 By Ranjith Eswaran In Turbo360
Embarking on a journey through the cloud landscape, Azure Unit Economics is a compass, guiding through the intricacies of financial optimization in the realm of Microsoft Azure. This blog post aims to clarify the complexity of Azure Unit Economics, underscoring its critical role in optimizing resource allocation and ensuring cost-effectiveness within the realm of cloud computing.
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NEW FEATURE: Rainbow Deployments with Zero Downtime! (Jan 24 2024)

Jan 24, 2024 By Cycle In Cycle
In this video, Jake Warner (CEO / Founder) does a quick dive into one of our latest features: Rainbow Deployments. These deployments enable teams to maintain multiple independent versions of their applications within one single environment. Additionally, deployments make it easy to take new versions of your applications live with zero downtime. Cycle is a container orchestration and infrastructure management platform built to provide a true alternative to Kubernetes.
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grafana

Grafana Beyla 1.2 release: eBPF auto-instrumentation with full Kubernetes support

Jan 24, 2024 By Mario Macías In Grafana
We’re excited to announce that with the release of Grafana Beyla 1.2, Kubernetes support is now fully integrated. With this update, the Grafana Beyla configuration now “understands” Kubernetes semantics to provide a more fine-grained selection of services to instrument. Beyla users can decorate metrics and traces with the metadata of Kubernetes entities, such as pods and deployments, that run the automatically instrumented services.
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datadog

Streamline Azure container monitoring with the Datadog AKS cluster extension

Jan 24, 2024 By Addie Beach In Datadog
Azure Kubernetes Service (AKS) enables you to easily deploy and manage containerized applications in Azure while leveraging Microsoft resources such as development tools, security features, and more. As with any Kubernetes service, the sheer volume of containers being orchestrated makes monitoring AKS cluster health challenging, which can slow response times to critical incidents and create bottlenecks around long-term optimizations.
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