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To get the look – and in the event of the infigures – the enterprise is becoming more difficult for cloud assets.
Cloud Estates are expanding and fragmented and inventory capabilities in existing tools can be narrow and foolish, as elements such as elements and Security information to cut platforms with limited convenience.
Cloud management company Jungle This problem allows cloud assets, security metadata and one place to solve this problem, and allows it to get it easily, installed SQL queries and reports. The company takes the first approach to cloud management, 60’s sources – 60 plus sources, including AWS, GCP, Azure, October and Wiz.
The company now announces a $ 15 million financial round, which is led by the Partex, approaches the vision of the cloud.
“The biggest problem with existing means, one for security, one for the cost, one for the cost is one for an active inventory – it is difficult to get a unified landscape between the domains,” said CQ’s founder Venturebeat. “Even as simple questions” ECS volume closes, closing an EC2? Multiple instruments are difficult to answer together. ”
Cloudy under the hood
CloudQuery uses two basic technologies under the hood: CLICK DATA WARNING AND OPEN SOURCE DATABASE and Apache arrow Information Analytics Frame to develop analytics applications.
This high-performance plagoon architecture built in Go combines direct AWS, Azure, Google Cloud Platform (GCP) and as many other platforms, as many other platforms and many other platforms and many other platforms. Motatata. The platform continuously synchronizes dozens of cloud providers and services to normalized, centralized active inventory.
“We have a deep emphasis on teams to synchronize high-frequently in high frequency to work with the most reliable, modern data,” he said.
The information described by this information is established in accordance with the SQL engine and installed reports of power clouds, so the teams can get full flexibility without trusting black box tools.
The company also uses “voter” Great language models (LLMS) To ask natural language, SQL generations and tricks, “but are always in the baseline of accurate, transparent data,” said Pats. The EU figured out the SQL well that tools such as Claude and Openai can create special reports and analysis in plains and flat English.
It is critical to make a developer-first approach, because the developers eventually manage and provide today’s cloud infrastructure. Again, many cloud visibility tools have been set up for people in people who are really in the trenches of people, but for top-down management tools.
“Initially, you strongly enhance developers, accessible information, flexible API and mother tongue, to move faster, catch problems, and build more reliable.”
Customers find ways to use CloudQuery beyond active inventory. “Many begin with visibility, then matching monitoring, security posture management, value optimization, all uses the same basic platform,” he said.
Hexagon built a server-free information for all cloud stores
An entity already is an enterprise that sees the result Hexagonal. The program company’s Perfection (CCOE) team was aimed at collecting information from all cloud accounts, and to collect information from all cloud accounts and prepare lake in a data lake.
Asking this information using SQL and asked for the opportunity to explore and visualize the date of the cloud configuration (such as AWS Quicksight).
The team set up a server-free data pipeline using cloudquery to collect information from all accounts and save it in S3. AWS glue then attaches to the glue to the glue in a format that Athena in Amazon could survey, then ATHENA said, he said.
“It was an important demand for being a completely server solution,” Hexagonal cloud management and Finnish specialist Peter Figue Edcale and Engineering Herman Schafa Lerman Schafa Lerman Schaaf Blog Post. “This decision has made a large number of benefits because there are no need for updates and almost zero.”
Especially Amazon S3 should have repel some difficulties with support plugins. The CCOE team was one of the first to offer concepts with clouds in S3 and leading to new features. These include:
Parquet support: CloudQuery file destination initially supported only CSV and JSON data formats. JSON comments errors LED LED LED LED LED to add parquet support.
Data Section: Allows a cloudy file destination plug to divide in original written (previously unnecessary steps resulting in the resulting unnecessary steps).
Resource View for Athena: Youduklu first offered a source for AWS that matches only postgres. However, Athena added a function that could get a list of all tables to create or update a resource view of a cloudy resource.
Figuededo Team, AWS VPC IP address (cloud) – used CloudQuery to replace AWS-in VPC IP address manager (IPAM) for expensive and other cloud providers.
As a result, his team continues to clouds in “Ultra Cheap Infrastructure” using Ultra Cheap Infrastructure “Ultra Cheap Infrastructure.
“Quickly find any IP along the plaque, we can find out whoever and the owners of the Quickly,” Figueire said. “Now we can collect everything we need in a very cheap price near the zero maintenance. This is the holy grail for our team.”
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