Operations | Monitoring | ITSM | DevOps | Cloud

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EdgeIQ and Ubuntu Core; bringing security and scalability to device management

Today, EdgeIQ and Canonical announced the release of the EdgeIQ Coda snap and official support of Ubuntu Core on the EdgeIQ Symphony platform. EdgeIQ Symphony helps you simplify and scale workflows for device fleet operations, data consumption and delivery, and application orchestration. Distributing EdgeIQ Coda as a snap brings the power, connectivity, and control of the EdgeIQ Symphony platform to millions of Linux users who can now install this enterprise tool with a single terminal command.

Unlock Unmatched Insights: Introducing the *deepest* Hybrid Infrastructure Observability Platform

If you want to ensure that your infrastructure is resilient by modern standards, you need to have a deep understanding of how processes and technology impact your business metrics. Learn how Virtana unlocks unmatched insights into your infrastructure through our Virtana AI Platform for deep hybrid infrastructure observability, to give you the deep understanding you need for a resilient infrastructure.

Windows Server 2025 Upgrade Issues #patchmanagement

Windows Server 2025 is facing challenges with automatic upgrades, causing confusion among users. Microsoft has acknowledged a misclassification of the update after initial silence. The issues arise from patch delivery methods, particularly through WSUS and third-party tools, leading to unexpected upgrades based on configurations and update flags. The focus is on understanding the root causes of these issues rather than identifying specific vendors. Accurate information is crucial to resolving these problems effectively.

Elevating Security Posture to Maximize Threat Response - Customer Brown Bag - November 21st, 2024

Join us as Marvin, a Technical Account Engineer at Sumo Logic, addresses the following customer questions on how to elevate their security posture and maximize threat response: How can we mature our Sumo Logic SIEM? How can we identify if we have gaps in logs or detections? How can we create or identify custom rules for use cases that are critical to us and that we want to monitor closely?

The Real Cost of High Network Latency

High latency and inflexible bandwidth have a domino effect across your entire business, impacting your productivity and revenue. Here’s how to improve it. When we talk about network latency, we’re referring to more than just the occasional lag or slow loading speed. At scale, the consistency of your network can be the difference between your enterprise making and losing money – and latency is where it all starts.

Transform Troubleshooting with Logz.io's AI Agent

As Gartner predicts, AI will support up to 70% of performance monitoring and troubleshooting tasks in the next few years. The Logz.io AI Agent helps teams get ahead of this curve today. Too much time spent troubleshooting? You’re not alone. Manual investigation, jumping between dashboards, and piecing together scattered data are time-consuming and frustrating.

What are the benefits of generative AI for IT?

Can generative AI help improve IT efficiency? Imagine you’re part of an IT team constantly juggling a growing number of support tickets, system issues, and daily maintenance tasks. It can feel like you’re always playing catch-up. It’s a common challenge: Repetitive tasks and troubleshooting waste valuable time, leaving little room for innovation or strategic improvements. Generative AI (GenAI) for IT provides a solution.

Early Observability in Platform Engineering: Challenges and Solutions

Since the emergence of the cloud, the DevOps movement, and the rise of microservices, developers have been increasingly responsible for the operation of their software. “You build it, you run it” (YBYR) and “You build it, you operate it” (YBYO) have become common mantras in the software engineering industry. However, there’s a misunderstanding in this statement. Developers should remain focused on building software.

Data Pipelining with InfluxDB

In this blog post, we’ll explore how to build a data pipeline using Kafka, Faust, and InfluxDB to effectively ingest, transform, and store data. We’ll start with an overview of Kafka, a high-performance messaging platform, and Faust, a Python library designed for stream processing, now maintained by the community as Faust-streaming.