Operations | Monitoring | ITSM | DevOps | Cloud

A look at what Parquet is, how it works and some of the companies using its optimization techniques as a critical component in their architecture. As the amount of data being generated and stored for analysis grows at an increasing rate, developers are looking to optimize performance and reduce costs at every angle possible. At the petabyte scale, even marginal gains and optimizations can save companies millions of dollars in hardware costs when it comes to storing and processing their data.

s3gw is an S3-compatible service, focused on deployments in a Kubernetes environment backed by any PVC, including Longhorn (https://longhorn.io). Since its inception, the primary focus has been on Cloud Native deployments, however, the s3gw can be deployed in a myriad of scenarios, provided there is some form of storage attached.

When you are downloading or sharing files online, there is a good chance that one of them will be in the form of a zip file. A zip file is a compressed folder that compresses multiple files into a single folder. The main benefit of zip files is to reduce the size of various files into smaller ones. Especially when you are transferring these files over the internet, reducing their size means they take up less bandwidth and download faster.

The internet is inherently complex, and it can be difficult to understand all the various moving parts that make it work. But that doesn't mean you can learn a little more about what makes the World Wide Web tick. In this article, you'll learn what the internet is, how it's structured, and how information flows across the web.

The internet is helpful, but it can also be dangerous. With cybercriminals on the hunt for your precious data and intrusive government agencies spying on the activities of everyday citizens, internet security and privacy have become a genuine concern. Your internet service provider has a front-row seat to all of your private browsing data, and they can monitor you, throttle you, and share that information at will. If this sounds like a gross invasion of privacy, you're absolutely right!

Last week InfluxData announced IOx, the new time series engine for InfluxDB. We’ve revisited the core of our database to achieve big things with the underlying technology. Users can expect higher performance and more options for querying data. Here’s a quick intro to some of the most exciting things coming with InfluxDB IOx.

This post is part 1 of a 3-part series about monitoring MongoDB performance with the WiredTiger storage engine. Part 2 explains the different ways to collect MongoDB metrics, and Part 3 details how to monitor its performance with Datadog. If you are using the MMAPv1 storage engine, visit the companion article “Monitoring MongoDB performance metrics (MMAP)”.

Two years ago I announced that InfluxData was working on a new core for InfluxDB, a project we named InfluxDB IOx. InfluxDB IOx is a cloud-native, real-time, columnar database optimized for time series data built in Rust on top of Apache Arrow and DataFusion. Today I’m excited to announce that we deployed our next-generation storage engine that’s built on InfluxDB IOx in our InfluxDB Cloud platform.

Rebuilt and reimagined storage engine built on open source project InfluxDB IOx delivers faster queries, unlimited time series, and introduces SQL for writing queries and BI tool support.

By 2025, it's expected that the amount of data produced per day will be 463 exabytes. 1 exabyte is 1 million terabytes or 1 billion gigabytes—that's a lot of data! Safely storing data ensures that all the knowledge you gather over the years is retained and maintained. Proper storage is super vital for all individuals, businesses, and other organizations. There are many ways to store data, from old-fashioned paper records to modern digital methods.