Operations | Monitoring | ITSM | DevOps | Cloud

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Incident Response Automation: How It Works & Why It Speeds Up Resolutions

The speed at which you respond to incidents can make or break user satisfaction, team morale, and business continuity. Whether it’s a server crash, a security breach, or a software bug affecting users, rapid and efficient incident management is key to maintaining a strong reputation and minimizing operational downtime. And while traditional manual responses have worked in the past, automated incident response is now paving the way for faster, smarter, and more efficient handling of these issues.

How to Connect PHP With MySQL

When it comes to building interactive, scalable, and data-driven websites and applications, you may consider a combination of PHP with MySQL. Integrating PHP as a server-side language with MySQL as a relational database allows for dynamic content generation, user authentication, form handling, and easier data management. In the article, we’ll explore several methods to connect PHP with a MySQL database, including the mysqli and PDO (PHP Data Objects) extensions.

SQL Server Backup Types and Key Concepts

The importance of regular database backup and recovery can be neither underestimated nor ignored. And since your data is subject to modification, the primary task is to ensure its safety and mitigate the risks of data loss. That’s why we have database backups at hand—and in this article, we’ll guide you through main types and key concepts of backups as related to SQL Server databases.

Maximize Azure Stack HCI Performance: Proven Resource Optimization Techniques

Looking to optimize your Azure Stack HCI and boost the efficiency of your on-prem infrastructure? Watch this exclusive on-demand webinar to learn actionable strategies for improving performance and reducing costs, tailored specifically for IT professionals managing Azure Stack HCI environments.

Building Resilience from Architecture to Production with AWS & Gremlin

Unreliable software can have a painful impact on your customers and your business—something we’ve all seen and felt during high-profile outages. And while building on the cloud with AWS unlocks improved scaling and reliability capabilities, the complexity of modern distributed systems can potentially introduce outage-causing reliability risks. How can you be sure your systems are resilient to failure when they’re based on complex architecture, built by hundreds of teams, and are being updated almost constantly?

EBS Vs. EFS: Which AWS Data Storage Solution Is Best For You

AWS currently offers eight main data storage services that cover different needs, from object storage to file and block storage. The most popular is Amazon S3, an object storage service. Amazon Elastic Block Store (EBS) and Amazon Elastic File System (EFS) follow. Both offer persistent, secure, and scalable storage. Yet, each has a distinct architecture and use cases. In this guide, we compare EBS vs EFS to help you decide which is better for your AWS data storage needs.

Resolving Application Issues Faster with Stackify Retrace

In an agile DevOps environment, developers move quickly and often, making small changes in ongoing sprints. Once applications go live, operations teams (and often times, developers themselves) take over performance management and issue resolution, while updates and improvements continue. Developers and DevOps teams need a continuous flow of information on how each iteration works, fails, or worse – introduces new problems.

Netdata's Native Windows Agent: The Best Way to Monitor Windows!

We are pleased to announce a significant advancement in system monitoring: the launch of Netdata’s first-ever native Windows agent. This release represents a major step forward in our mission to provide comprehensive and efficient monitoring solutions across all platforms. With the introduction of the native Windows agent, we are extending our robust monitoring capabilities to Windows environments, enabling seamless and unified monitoring across diverse infrastructures.

Troubleshooting RAG-based LLM applications

LLMs like GPT-4, Claude, and Llama are behind popular tools like intelligent assistants, customer service chatbots, natural language query interfaces, and many more. These solutions are incredibly useful, but they are often constrained by the information they were trained on. This often means that LLM applications are limited to providing generic responses that lack proprietary or context-specific knowledge, reducing their usefulness in specialized settings.