Operations | Monitoring | ITSM | DevOps | Cloud

The way software is written is changing fast. In the past few years, AI coding assistants and large language models (LLMs) have gone from novelty to necessity for many developers. Tools like Cursor, ChatGPT, and custom in-house models are helping teams generate boilerplate, scaffold features, and even build entire apps within minutes. It’s exciting. But it also raises the stakes. When code is written faster, it’s deployed faster.

Change Reports show how many objects are added, modified, and deleted at a glance by comparing the desired state of the objects to a target database. You can also drill into each object and see the exact changes in a side-by-side difference view.

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.

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.

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.

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.

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.

At ScienceLogic, transparency and integrity are not just principles—they are the foundation of our mission. We are proud to share that ScienceLogic has been recognized as a Trusted Seller by TrustRadius. This distinction affirms our dedication to ethical review sourcing, accurate product information, and building customer trust.

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.