Operations | Monitoring | ITSM | DevOps | Cloud

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meshiq

Achieving High Performance in Mainframe MQ Systems: Tips and Tricks

Sep 12, 2024 By Richard Nikula In meshIQ
Mainframe MQ systems are like the unsung heroes of enterprise tech. They quietly keep critical business functions running smoothly, but they don’t always get the attention they deserve—until something slows down or, worse, grinds to a halt. If you’re managing a mainframe MQ system, you know how essential it is to ensure peak performance day in and day out. But how do you squeeze every bit of speed and efficiency out of your MQ setup without jeopardizing reliability?
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Anthropic Partners with Datadog to Bring Trusted AI to All

Sep 12, 2024 By Datadog In Datadog
At Datadog’s 2024 DASH conference, Anthropic President and Co-Founder, Daniela Amodei, announced the new Anthropic integration with Datadog’s LLM Observability. This new native integration offers joint customers robust monitoring capabilities and suite of evaluations that assess the quality and safety of LLM applications. Get real time insights into performance and usage, with full visibility into the end to end LLM trace. Enabling you to troubleshoot any issues, reduce downtime and get your Claude powered applications to market faster.
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solarwinds

Troubleshooting Errors and Performance Issues in Laravel

Sep 12, 2024 By By telliott In SolarWinds
In a perfect world, there wouldn’t be any errors or bugs in production applications. However, we don’t live in a perfect world, and from experience, you know there is no such thing as a bug-free application. If you are using the Laravel framework, you can leverage its log tracking and error logging to catch bugs early and enhance the performance of your Laravel-based application.
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Kentik

Optimizing Cloud Networks: The Strategic Approach to Eliminating Suboptimal Routing

Sep 12, 2024 By Phil Gervasi In Kentik
In this post, we look at optimizing cloud network routing to avoid suboptimal paths that increase latency, round-trip times, or costs. To mitigate this, we can adjust routing policies, strategically distributing resources, AWS Direct Connects, and by leveraging observability tools to monitor performance and costs, enabling informed decisions that balance performance with budget.
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logitio

How to Integrate Node.js with Logit.io

Sep 12, 2024 By David Benson In Logit.io
Node.js is an open-source runtime environment, frequently used for backend development, and enables developers to build scalable, high-performance apps that can easily handle a vast amount of simultaneous connections. The solution is suitable for network applications scalable for real-time web apps, RESTful APIs, microservices, and chat apps.
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Monitoring Azure Logic Apps Standard: Auto-Correction and Alert Configuration

Sep 12, 2024 By Turbo360 In Turbo360
The video discusses monitoring Logic Apps Standard, specifically at the workflow level. Michael Stephenson - Product owner for Turbo360, explains how to configure alerts and auto-correction for workflows in Logic Apps Standard. He demonstrates how to set up a rule to trigger an alert when a workflow is disabled and how to auto-correct the workflow back to an enabled state.
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graylog

25 Linux Logs to Collect and Monitor

Sep 12, 2024 By Jeff Darrington In Graylog
While “America runs on Dunkin”, IT increasingly runs on Linux. Between being open-source and highly customizable, everything from video games to enterprise servers can run on Linux. When cloud services took over the corporate IT environment, they brought Linux with them in the form of virtual servers and containers. Meanwhile, developers increasingly use Linux-based Docker to containerize applications and Kubernetes to manage the deployments.
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Cribl

How the Cribl SRE Team Uses Cribl Edge to Collect Metrics

Sep 12, 2024 By Bill Chung In Cribl
This is one of a series of blog posts that explain how the Cribl SRE team builds, optimizes, and operates a robust Observability suite using Cribl’s products. If you haven’t, we encourage you to read the previous blog about how the Cribl SRE team uses our own products to achieve scalable observability. We installed Cribl Edge on the machines we manage for our users and use it to gather metrics.
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