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.

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.

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.

On the October episode of This Month in Datadog, Jeremy Garcia (VP of Technical Community and Open Source) covers unified Error Tracking, Security Operational Metrics, and a new Datadog Serverless feature for retrying or redriving failed AWS Step Functions executions directly from Datadog. Later in the episode, Shri Subramanian (Group Product Manager) spotlights Datadog LLM Observability’s native integration with Google Gemini. Also featured are our blog posts Operator vs.

In today's rapidly evolving technology landscape, Application Performance Monitoring (APM) has become a critical component for DevOps teams striving to maintain high-performing, reliable applications. This comprehensive guide explores everything modern DevOps teams need to know about implementing and optimizing their APM strategy.

We’ve all experienced those frustrating moments when a network error code pops up unexpectedly, and you're forced to stop everything you're doing. We all hate to see a 404 (Not Found) or 500 (Internal Server Error) network error coming. Whether it’s sluggish connections, dropped calls, or websites refusing to load, the instinct is often to try quick fixes, browse a few “how-to” articles, or even just wait for the issue to pass.

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.

Use these ticket deflection strategies and encourage customers to find solutions to their issues on their own.

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.

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.