Operations | Monitoring | ITSM | DevOps | Cloud

IT and security teams have been on parallel tracks for years—each with its priorities, each speaking a slightly different language. IT focuses on uptime and performance, while security zeros in on risk mitigation and threat defense. Alignment has improved, but as cyber threats grow more sophisticated, IT and security leadership must continue working in lockstep.

The unified endpoint management market is expected to grow by 22.4% between 2023 and 2030. This is due in large part to the continuing shift to remote and hybrid work models. Even now, 90 percent of organizations say they cannot manage all their endpoints. With a more mobile workforce, more laptops, tablets, and smartphones are being used on company networks than ever before. Some of these mobile devices are personal devices doing double duty as work tools.

Are you using AI to inform or guide your pricing strategy? It offers concrete financial benefits thanks to three (exclusive) capabilities: granular demand forecasting, advanced price elasticity modeling, and dynamic markdown optimization. Could a human do these things? With enough time…maybe. But why wait that long? There are significant margin and revenue improvement opportunities right now. With AI, you can seize them immediately. Traditional pricing models make it nearly impossible to see gains.

Database security has often been treated as a final checkpoint before release. But DevSecOps ensures security is integrated throughout the DevOps process, making compliance more efficient, reducing manual effort, and ensuring organizations stay ahead of evolving threats.

Can you ever get too much data? With modern architectures getting increasingly more complex with hundreds of microservices and containers, data volume grows at an exponential rate, and there’s no pause in sight. In this era of ever-expanding volume of telemetry, it’s nearly impossible to separate valuable data from noise, making things like root cause analysis or alerting needlessly more complicated, while putting pressure on the performance of your stack, your scalability and budget.

AIO Monitoring refers to the practice of tracking and analyzing the presence and impact of AI Overviews in search engine results pages (SERPs). AI Overviews are AI-generated summaries that appear at the top of SERPs, providing users with concise answers to their queries without necessitating a click-through to a website. This shift has profound implications for organic traffic and visibility, prompting SEO professionals to seek effective monitoring solutions.

In today’s fast-paced digital landscape, customers expect seamless and reliable user experiences and have little tolerance for poor performance or downtime. In order to avoid the costs to revenue and reputation that can come from poor customer experiences, organizations across all industries are increasingly prioritizing digital experience monitoring (DEM), the practice of monitoring how end users interact with business-critical applications in order to understand and optimize user journeys.

Cloudflare is a content delivery network (CDN) that helps businesses accelerate, protect, and optimize their websites, applications, and APIs. It acts as a reverse proxy, sitting between users and a website’s origin server to provide DDoS protection, web application firewall (WAF), CDN caching, and load balancing.

Part 2: Optimizers in Apache DataFusion In the first part of this post, we discussed what a Query Optimizer is and what role it plays and described how industrial optimizers are organized. In this second post, we describe various optimizations found in Apache DataFusion and other industrial systems in more detail.

Every day, your developers are pushing software. Some of that software will make it to production, but many of those incremental builds will not. While you shouldn’t remove those incremental builds and old release versions haphazardly, if left unchecked, they can clog up your software repositories as well as the workflows and systems they serve.