Many of you might have seen our blogs about different techniques for identifying anomalies. Perhaps you even have a handful of analytics running in Splunk to identify anomalies in your data using statistical models, using probability density functions or even using clustering.

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically.

Are you looking to get started with InfluxDB on Google Cloud? We’ve pulled together our top resources to help you get the most out of your time series data whether that’s coming from your Google Cloud infrastructure or your own application. Read how customers like Wayfair and Vera C. Rubin Observatory use InfluxDB on Google Cloud to solve their time series data collection and processing challenges to power their multifaceted, complex real-world use cases.

Power BI (Business Intelligence) is a business analytics platform/service provided by Microsoft. This service aims to provide interactive visualizations and business intelligence, enabling the end-user to create individualized reports and dashboards independently. Especially for retail businesses, Power BI helps them meet the dynamic customer demands in advance with actionable insights. Microsoft Power BI service is based on cloud service, which also offers a desktop-based interface.

Consider for a moment that you are building a webpage that displays data stored in Elasticsearch. You have so much information in your index that your API Gateway cannot handle it all at once. What you’ll need to do is paginate your results so that the client can have a predictable amount of data returned each time. Before paginating your results with your client, you will need to know how to paginate data in your backend storage.

It could be argued that consumer broadband networks have historically been poor neighbours of business networks, with CSPs investing more funds in providing better SLAs to their higher paying business customers. But like it did for many of our pre-set ideas, the pandemic turned the tables around for broadband priority. Forced work from home policies, remote learning, and quarantines have effectively turned consumer broadband into business/educational/health broadband services for many.

Organizations are migrating an increasing amount of their infrastructure into the cloud. The cloud provides organizations with a number of benefits like greater scalability, improved reliability and faster time to value. However, these potential benefits can be offset if security is an afterthought.

Last week we released Telegraf 1.18 with a range of new plugins including Elastic Beats, directory monitoring, NFS, XML parsing and some aggregators and processors to help with your data ingestion. All of these packages were written in Go 1.16.2. This was one of our largest releases in a while and couldn’t have been done without the 70+ Telegraf community members who contributed to writing plugins, fixing bugs, reviewing code, and everything else to improve Telegraf!