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Monitoring

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

What is Network Troubleshooting? - The Ultimate Survival Guide

Are you tired of feeling like a lost sailor on a stormy sea of computer problems? Well, fear not, dear reader, for we are about to embark on a journey to demystify the world of network troubleshooting! Intermittent network problems interrupt your flow of work, frustrate users, and can wreak havoc on your business. Troubleshooting network problems as fast as possible is the key to making sure that doesn’t happen.

Fixing Citrix Issues with eG Enterprise's Automation

Without any ability to self-heal, fixing Citrix usually requires manual intervention to remediate problems. This leads to time spent on mundane tasks managing the care and feeding of Citrix. Automation of these tasks for fixing Citrix provides: In our latest release, eG Enterprise v7.2, we have added new auto-correction and auto-remediation capabilities for Citrix administrators that remove the need for scripting. There are a few issues that can be a cause of constant frustration for admins.

The Darkside of GraphQL

GraphQL is a query language for APIs that provides a powerful and efficient way to query and manipulate data. As powerful and versatile as GraphQL is, its downside is that it can be vulnerable to certain security threats. In this presentation, we will discuss the security vulnerabilities associated with GraphQL, from the basics to more advanced threats, and how to best protect against them. After this presentation, attendees will have a better understanding of security vulnerabilities in GraphQL, as well as an understanding of the steps needed to protect against them.

How to Assess Device Readiness for Enterprise-wide Windows 11 Migration using Nexthink

The modern workplace demands hybrid working, robust security, and enhanced user experience features. All these interactions rely heavily on the Operating System (OS) and associated software stacks. The sheer scale of migrating tens of thousands of remote devices and their users to a new OS can lead to potential technical failures, delays in migration roadmap and budget overruns. OS migration can be a daunting task for organizations, as it is plagued by uncertainities.

Innovating with Faster, Safer Experimentation

Experimentation is the key to innovation. But experiments come with risks, not just of failure, but of wasted time, effort, and money. I’ll share the experimental approach that NTT DOCOMO, Japan’s largest wireless provider, takes to build digital products that customers love. I’ll also present examples from experiments we performed on NTT DOCOMO’s Smart-life website that improved the user experience and significantly increased conversion rates. In this session, you’ll learn how to reduce the risk of experiments and iterate faster to improve your services.

How Qonto used Grafana Loki to build its network observability platform

Christophe is a self-taught engineer from France who specializes in site reliability engineering. He spends most of his time building systems with open-source technologies. In his free time, Christophe enjoys traveling and discovering new cultures, but he would also settle for a good book by the pool with a lemon sorbet.

Integrating Calico statistics with Prometheus

Metrics are important for a microservices application running on Kubernetes because they provide visibility into the health and performance of the application. This visibility can be used to troubleshoot problems, optimize the application, and ensure that it is meeting its SLAs. Some of the challenges that metrics solve for microservices applications running on Kubernetes include: Calico is the most adopted technology for Kubernetes networking and security.

Splashing into Data Lakes: The Reservoir of Observability

If you’re a systems engineer, SRE, or just someone with a love for tech buzzwords, you’ve likely heard about “data lakes”. Before we dive deep into this concept, let’s debunk the illusion: there aren’t any floaties or actual lakes involved! Instead, imagine a vast reservoir where you store loads and loads of raw data in its natural format. Now, pair this with the idea of observability and telemetry pipelines, and we have ourselves an engaging topic.