What is Observability?
What is observability? And why does it matter? Charity Majors gives an excellent overview.
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Auvik ASMR - This way to SaaS Serenity...
Shhh... hear that? It's the sound of perfectly managed SaaS. Shadow IT? Vanished. Compliance? Handled. Budgets? Breathing easy. Your SaaS stack deserves a spa day.
Optimizing SQL (and DataFrames) in DataFusion: Part 2
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.
Leverage Cloudflare logs for cost optimization, troubleshooting, and security
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.
Gain key insights into user experiences faster with Datadog Synthetic Monitoring
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.
Executive Buy-In is Driving Observability Maturity: 2025 Observability Survey Results | Grafana Labs
In this video, CTO Tom Wilkie from Grafana Labs breaks down some of the most compelling findings from our third annual Observability Survey, based on over 1,200 industry responses. The big takeaway? Executive involvement is on the rise—and it’s accelerating adoption of advanced observability practices like distributed tracing, profiling, and SLOs. He also explores how SaaS adoption, the maturation of central observability teams, and new instrumentation methods like eBPF and Beyla are reshaping the observability landscape.
How to use custom variables in Grafana dashboards
Custom variables let you define your own options for dashboard viewers to select. They're a way to fine-tune how your dashboard behaves. In this video we'll look at how to use custom variables in your own dashboards. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.
Why you should be skeptical of SEO monitoring tools promising AIO monitoring in 2025
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.
ScienceLogic Earns Trusted Seller Recognition from TrustRadius
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.
Observability Costs: Tips for More Efficient Data Management
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.