High-level architecture of browser

The below image shows the main components of a web browser: 

How does a developer find a new tool to add to their stack? There’s no single answer, but most will tell you that technical content is part of that journey. Certainly, documentation is crucial to developer experience. But more often than not, the first piece of content they’ll discover is a helpful resource returned as search results or shared from another dev. Your goal is simple: be that resource.

A Comprehensive Guide to Font Loading Strategies 

A beginner’s guide to Cache synchronization strategies

Fixed In This Release of Visual Studio 2019 version 16.5

• Modified the find "List View" to work with the VsColorOutput extension.
• Fixed a regression introduced with version 16.5 where use of default indexed properties with value-types caused an internal compiler error.
• Modified find in files to preserve user settings between Visual Studio 2019 sessions.
• Fixed an issue where Goto next/previous entry failed to work in the find results list when "preview selected files in find results" is turned off.
• Fixed an issue with find when doing a regex search a pattern that did not contain regex special characters.
• Fixed the button placement in find in files tool window when its in a docked position. Changed alignments for better experience in docked mode.
• Fixed an issue where the find list view did not navigate to results when enter was hit.
• Fixed an issue where Goto next/previous entry failed to work in the find results list when "preview selected files in find results" is turned off.

Security Advisory Notice

CVE-2020-0899 Microsoft Visual Studio Elevation of Privilege Vulnerability
CVE-2020-0900  Visual Studio Extension Installer Service Elevation of Privilege Vulnerability
CVE-2020-5260  Git for Visual Studio Credential Leak Vulnerability due to insufficient validation on URLs

• Calculates asynchronously for better overall performance
• Simple API
• Small. ~5kb
• Use it with any existing Javascript Framework

MongoDB, one of the leading NoSQL databases, is well known for its fast performance, flexible schema, scalability and great indexing capabilities. At the core of this fast performance lies MongoDB indexes, which support efficient execution of queries by avoiding full-collection scans and hence limiting the number of documents MongoDB searches.