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Extended detection and response tools are open or native. Learn the differences between them, and get help choosing the right XDR type for your organization.

Let's break down some cloud security alphabet soup. CASB, CSPM and CWPP overlap to an extent, but you'll want to pay close attention to how they accomplish different things.

When it comes to adopting SASE or zero trust, it's not a question of either/or, but using SASE to establish and enable zero-trust network access.

SaaS has become ubiquitous. To secure it, take steps to inventory SaaS usage, securely authenticate usage, encrypt data, adopt single sign-on and more.

With so many apps and data residing in cloud, employing a security framework to help protect cloud infrastructure is an essential move for an organization.

Automating security in the cloud can be invaluable for threat detection and mitigation. Explore key areas where security professionals should implement automation.

This cloud security guide explains challenges enterprises face today; best practices for securing and managing SaaS, IaaS and PaaS; and comparisons of cloud-native security tools.

What are the necessary components of a cloud security policy, and why should an organization go to the trouble to create one? Download a template to get the process started.

The Cloud Security Alliance (CSA) is a nonprofit organization that promotes research into best practices for securing cloud computing and the use of cloud technologies to secure other forms of computing.

Check out the latest security news from the Informa TechTarget team.

Article URL: https://www.techpolicy.press/indias-cjp-protests-meet-internet-shutdowns-and-pervasive-surveillance/

Comments URL: https://news.ycombinator.com/item?id=49029358

Points: 1

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Article URL: https://www.canva.dev/blog/engineering/session-revocations-at-scale/

Comments URL: https://news.ycombinator.com/item?id=49029356

Points: 1

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Article URL: https://www.businesslawprofessors.com/2026/07/quick-followup-on-the-truth-social-thing/

Comments URL: https://news.ycombinator.com/item?id=49029346

Points: 2

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I'm a long-time macOS user and I just want a change. Curious what people here actually use every day and what made you stick with it. Curious if you also switched from a Mac too. I'd like to get out of the "walled garden" ecosystem.

Comments URL: https://news.ycombinator.com/item?id=49029345

Points: 1

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Article URL: https://www.osnews.com/story/145593/freebsd-ports-frozen-after-someone-commits-the-entire-150mb-linux-copilot-binary/

Comments URL: https://news.ycombinator.com/item?id=49029342

Points: 1

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Article URL: https://www.thelightphone.com/lightflip

Comments URL: https://news.ycombinator.com/item?id=49029325

Points: 1

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Article URL: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2654/

Comments URL: https://news.ycombinator.com/item?id=49029323

Points: 1

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Article URL: https://blazephoenix.xyz/

Comments URL: https://news.ycombinator.com/item?id=49029318

Points: 1

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Hi All,

March 2023. I was in touch to join a "big data" IT service company. I didn't get the job... Before the team decided I was too old, they introduced me to products I wasn't previously aware of. Since that time, I’ve been building a distributed SQL data engine. I started from 2 previous personal projects. A distributed network filesystem and a peer-to-peer Linux cluster. The goal was to manage "impossible tables": narrow tables with billions of rows or wide tables with columns by the million.

My opinion was and remains this simple idea: you can orchestrate single MariaDB servers to build a global resilient and massively parallel SQL service.

How SynSQL works under the hood:

Storage Delegation: Physical storage is delegated to MariaDB data brokers to store table data. The data dictionary is also delegated to MariaDB master brokers (mirror managed). Wide tables are vertically sliced into chunks. Each chunk is mapped to a specific broker. You can consider a narrow table as a single chunk table. All tables are mandatorily partitioned across nodes using a primary hash key. When a query hits a SynSQL server, it dynamically spawns a tree of Linux processes via fork(). Leaf processes query only the specific brokers holding the requested data and ignore unneeded chunks. Other node processes assemble rows. Memory control: Any node at any position in the process tree reads and sends data using a limited 64K buffer. Huge rows are assembled part by part to avoid OOM issues. High Availability & Resilience:

A SynSQL Cluster may present up to 32 SynSQL servers sharing a minimal global state. If a node fails, the resilient client automatically reconnects to another active node. Metadata: Dictionaries are mirrored across Master Brokers and out-of-sequence resynced at cluster boot. You can also add a master broker on the fly. Data layer: Partitions rely on 1 to 3 "reflects" (dedicated MariaDB instances) per partition. Try the Live Workshops:

No slides. No benchmarks. Run your own queries on two live datasets:

- Wide Table example multi_omics: 585,010 columns × 10,000 rows. Pick any set of columns and test the extraction speed. https://synsql.com/multiomics_demo.html - Deep Table Example: A real-time join across astronomical datasets: Gaia source_data and astrophysical_parameters. 1.8B x 1.5B row join. https://synsql.com/gaia_demo.html You would like to try it on premise ? Let's get in touch.

Thanks for checking it out, Stéphane

Comments URL: https://news.ycombinator.com/item?id=49029295

Points: 2

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