AWS disaster recovery strategies In today's interconnected world, business continuity is no longer a luxury but a necessity. Disasters, both natural and man-made, can cripple operations, leading to significant financial losses and reputational damage. To mitigate these risks, organizations are increasingly turning to cloud-based solutions, with Amazon Web Services (AWS) emerging as a preferred platform for disaster recovery (DR) strategies.

As organizations begin developing generative artificial intelligence (GenAI) applications, observability challenges could hinder their progress. Few robust monitoring tools for GenAI applications are available, which makes identifying and resolving issues in these applications time-consuming and error-prone.

We are so excited to share our latest feature with you… our onboarding CLI demo tool! This tool lets new users see how our platform works quickly and seamlessly. You can transfer real CPU, DISK, and RAM data from your device to your account in under five minutes.

Fleet management is a derivative term. Originally used in the automotive industry, it’s now used in a span of domains. It’s being used in data telemetry since the introduction of OpAmp, which is a part of the Open Telemetry project. Now, fleet management has broader implications. It simplifies telemetry data collection by automating agent deployment, and configuration, and providing insights into the real-time health and performance of your sprawling agent infrastructure.

The rapid evolution of work models and security requirements has prompted questions about the relevance of Software-Defined Wide Area Network (SD-WAN) technology. In their insightful report, ‘Is SD-WAN Dead?’ Jonathan Forest and Andrew Lerner of Gartner explore these dynamics, concluding that while SD-WAN is far from obsolete, its role is shifting.

As a product manager for Cribl Stream, I enjoy listening to customer challenges and bringing new features and enhancements into the product to help reduce pain points and better enable customers.

Your team is responsible for ensuring the reliability and performance of your organization’s critical applications and infrastructure. What keeps you up at night? Your applications are more complex, distributed and cloud-native than ever, meaning that understanding what’s happening under the hood has never been more complex than it is now. Is it system bugs, or data bottlenecks? Chasing alerts for latency or service degradation that may or may not be business-critical?

DevFinOps presents a paradigm where cost responsibility is linked with development and operations. This system is particularly good if you work in Cloud environments. Introducing of FinOps or the Finance + DevOps practices into the development cycle could supply your business with hidden cost-saving possibilities.

Adopting best practices for software deployment is essential to maintaining a high standard of quality, minimizing downtime, and ensuring that your applications meet user expectations. Here are five best practices to help you deploy your software more securely and reliably.

Anyone who’s worked in a customer-facing role knows the pressure to find the correct answers quickly. Emotions are high when something is broken, or there’s an outage. The customer is angry. You’re stressed. And your boss is watching and wondering why the problem hasn’t been fixed. You need to troubleshoot quickly and provide the right information ASAP. As a support professional, you want to give customers and stakeholders the best possible experience.