A Major Overhaul of AppSignal Dashboards: Powerful and Easy to Use
We’ve deployed a major overhaul of how you create dashboards and graphs in AppSignal. Using dashboards is now way easier and smoother, and we’re a bit too excited about this. 🚀
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Building an Observable Enterprise App
Once an app is launched to market, it’s up to the engineering team to ensure that it continues to meet its SLAs. See how we use VMware Tanzu Observability (Wavefront) and Sentry to proactively monitor and fix issues before they become production problems. Every engineering leader has experienced the anxiety and stress of taking an app to production. It’s a mix of excitement and trepidation – your creation will be used in real life, but what if something goes wrong?
Datadog Application Performance Monitoring
Datadog APM provides deep visibility into application performance and code efficiency, so you can monitor and optimize your stack at any scale and provide the best digital experience for your users. APM and distributed tracing are fully integrated with the rest of Datadog, giving you rich context for troubleshooting issues in real time.
Seamless Application and Infrastructure Monitoring With SolarWinds AppOptics
SolarWinds® AppOptics™ is a powerful, SaaS-based infrastructure and application monitoring solution for custom on-premises, cloud, and hybrid systems. By enabling quick identification of performance problems across the stack, AppOptics helps reduce mean time to resolution (MTTR). It can pinpoint performance issues quickly, and removes the guesswork from troubleshooting by monitoring all the way down to the line of code. Regardless of your experience level as an IT professional, AppOptics can help you monitor and improve the health of your IT implementations.
Exploring Demo Data in InfluxDB Cloud
This is a brief introduction to how you can add Demo Data in InfluxDB Cloud, allowing you to explore how data can be visualized in the Data Explorer or with a custom Dashboard. Video Voiceover: Deniz Kusefoglu Video Creation: John Corrigan
SolarWinds Pingdom Synthetic Monitoring
SolarWinds Pingdom synthetic monitoring simulates visitor interaction with your website, so you and your team are the first to know if your website is slow, broken, or unavailable. Get fast and accurate outside-in monitoring 24/7.
Building AIOps Now for the Future
AIOps is a term Gartner invented to describe a general trend of applying AI techniques to IT Operations data sources to provide additional insights and scale to the teams operating today’s complex software system. AIOps is essentially a feature or set of features to analyze, combine, and collect data. Unfortunately, the lack of AI in these solutions often turns many people off, but this promise is still possible.
Achieve Greater Network Visibility with LogicMonitor and Cisco SD-WAN
SD-WAN (Software-Defined Wide Area Networking) centralizes and automates the configuration of network devices and how they route traffic. This is increasingly important as not all network traffic is created equal; there are specific business-critical applications that are relied on more heavily than others. In addition to intelligent routing benefits, SD-WAN also allows IT managers to deploy internet-connectivity quickly, reliability, and securely.
Monitoring User Sentiment
In this Tip of the Day installment, we look at Catchpoint’s latest telemetry point: user sentiment. Last month, we announced this new kid on the block to the Catchpoint platform. During the mid-summer timeframe, we’ll be offering our commercial customers the ability to collect and analyze user sentiment alongside Synthetic, Network, Endpoint and RUM data.
Unlocking new serverless use cases with EFS and Lambda
Today, the AWS Lambda platform has added a new arrow to its quiver – the ability to integrate with Amazon Elastic File System (EFS) natively. Until now, a Lambda function was limited to 512MB of /tmp directory storage. While this is sufficient for most use cases, it’s often prohibitive for use cases such as Machine Learning, as Tensorflow models are often GBs in size and cannot fit into the limited /tmp storage.