The ability to deliver IT services in an effective and user-friendly manner is a key to success in the IT Service Management world. Alloy Navigator delivers a great experience to employees and customers by automating a broad range of standard service requests, including employee onboarding, password resets, provisioning remote access, and hardware requests. Now with the latest update for our mobile app, service requests can be managed using phones or tablets.

Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! 🚀 Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow To make Kubeflow the standard cloud-native tool for MLOps within the AI landscape, the open-source community has accomplished the aggregation and integration of many projects on top of Kubernetes.

At Cloudsmith, helping fledgeling startups grow from a single person operation to enterprise-level organisations is a constant joy! In those early stages, startups need all the help they can get to survive, and even veteran organisations experience similar challenges when scaling up rapidly. Cloudsmith can help with our self-service approach to managing and defining storage and bandwidth limits to keep costs under control while allowing you to scale when needed.

Logz.io has a comprehensive API that allows you to send and query logs or metrics easily. Now, that process is getting even easier for infrastructure monitoring. Logz.io has added support for the open source grafana API. In other words, you can use the OSS grafana’s integration within Logz.io.

With the promise of unprecedented potential, artificial intelligence (AI) and predictive analytics have permeated into every field of business. Due to their ability to help retail staff serve customers better, personalize video recommendations based on users’ preferences, reduce employee churn, and detect fraud and security threats, AI and predictive analysis are rapidly being adapted across industry verticals.

As data continues to explode across the enterprise, we are finding that it is becoming increasingly challenging for organizations to keep up. A recent Splunk report, "The Data Age is Here," found that 57% of companies interviewed expressed that the volume of data is growing faster than they can manage, with 47% bluntly saying they will fall behind when faced with rapid data volume growth.

As your tech stack increases, every new device (network devices, servers, applications) creates a large amount of distributed log data. This forms part of what is called “machine data”, which is growing 50x faster than traditional business data. In fact, everything in your stack is continuously writing new events to your log files, including error logs that contain a record of critical errors encountered by a running application, operating system, or server.

Canonical, the publisher of Ubuntu, releases Charmed Kubeflow, a set of charm operators to deliver the 20+ applications that make up the latest version of Kubeflow, for easy consumption anywhere, from workstations to on-prem, public cloud, and edge. > Visit Charmed-kubeflow.io to learn more. Kubeflow provides the cloud-native interface between Kubernetes, the industry standard for software delivery and operations at scale, and data science tools: libraries, frameworks, pipelines, and notebooks.

Managing large numbers of checks by hand quickly becomes cumbersome. Luckily, Checkly's REST API allows us to automate most of the repetitive steps. Building on that API, the Checkly Terraform Provider takes automation one step further, enabling users to specify their active monitoring setup as code. In this article, we will be building on top of John Arundel's great intro from a few months back and showing how to manage multiple checks using groups and shared code snippets.