The latest News and Information on Log Management, Log Analytics and related technologies.
Maintaining a smooth operation of your web application is crucial for the success of your business. When customers encounter performance issues while using your application, it will likely affect your business reliability and customer satisfaction. This can lead to churn rate increase which will cause a loss of revenue. As a Site Reliability Engineer (SRE) or DevOps professional, you would want to keep your product reliable for end users.
Extracting numerical values from public or private JSON API responses can help you track and analyze data, easily spot trends, and alert on data that is important to your business. If you can passively have this information periodically come to you and if you can receive alert notifications when certain conditions are met, you can avoid checking each metric manually and – obviously – save a ton of time. Synthetic monitoring tools let you do these things automatically.
To ensure a good end user experience, smart businesses periodically gather performance data from their websites. They measure the responsiveness and speed of their services to ensure fast and reliable websites. Having a responsive and fast website improves companies’ conversion rates, keeps their reputation intact, and helps increase traffic and revenue. Website monitoring applications help determine whether the website achieves the desired response times and uptimes.
Websites provide advisory services, research, and user reviews on SaaS companies to help users find the right product for their needs. Information and reviews shared by genuine users of your product or service is the strongest recommendation that can be received by your potential customers. This is why online user reviews are important for eCommerce and SaaS companies.
Over the years working as a software engineer and now a product manager, I’ve encountered multiple situations where I needed to extract numerical data from a page on a periodic basis and create visualizations, typically line charts to help me see trends over time. For example, I wanted to extract product prices and monitor them over time. Or, I wanted to query a search engine periodically and extract the number of matches or the position of a specific page for SEO purposes.
The Loki squad is excited to announce Grafana Loki 2.9 is here! For this release, we’ve developed additional TSDB endpoints to help you better understand your log volume; introduced query language optimizations to make parsing more performant; and restructured our documentation so it is easier to use. This coincides with the release of Grafana Enterprise Logs (GEL) 1.8, so all the features discussed here are available in both Loki 2.9 and GEL 1.8.
Even as the global economy shows signs of a rebound, today’s observability customers are more focused than ever on driving utmost value from their investments. This isn’t simply because economics have forced organizations to closely review overhead and drive out unnecessary costs; the reality is that observability has become one of the leading budget items for every cloud software organization, full stop.
