ContentPosts from @minithor..
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@squadcast shared a post, 1 year, 2 months ago

MSP's As NOC's, Handling Multiple Clients

Discover how MSPs leverage Incident Management platforms like Squadcast to streamline operations, reduce MTTR, and improve service reliability. Learn how these tools enhance communication, collaboration, and customer satisfaction.

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@squadcast shared a post, 1 year, 2 months ago

Looking Beyond Atlassian StatusPage: The 5 Best Alternatives

Explore alternatives to Atlassian Status Page, including Squadcast, Better Stack, and open-source options like Cachet. Learn how these tools offer cost-effective solutions with integrated Incident Management and Status Page capabilities.

Story
@laura_garcia shared a post, 1 year, 2 months ago
Software Developer, RELIANOID

Understanding VPN IPSec Modes

Virtual Private Networking (VPN) is crucial for secure online communication, and IPSec is a key protocol in ensuring this security. IPSec offers two modes—Tunnel Mode for site-to-site connections and Transport Mode for device-to-device communication. RELIANOID enhances VPN performance by supporting ..

VPN IPSec Modes
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@adammetis shared a post, 1 year, 2 months ago
DevRel, Metis

Concurrency Issues in SQL and Distributed Systems

Executing transactions is not atomic and takes time. For example, a single UPDATE statement might modify multiple rows, and the database system needs time to update each row. During this update process, another transaction might start and attempt to read the modified rows. This raises the question: should the other transaction read the new values of the rows (even if not all rows are updated yet), the old values of the rows (even if some rows have been updated), or should it wait? What happens if the first transaction must be canceled later for any reason? How should this affect the other transaction? Read on to understand!

Concurrency.webp
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@angie shared a post, 1 year, 2 months ago
Product Marketing Analyst, manageengine

The intricate world of cloud monitoring

Applications Manager

The cloud offers a world of potential, including scalability, agility, and cost savings. But harnessing its full power requires careful management. That's where cloud monitoring comes in. By providing insights into system behavior, resource utilization, and potential threats, monitoring is the cornerstone of a successful cloud strategy. Let's explore how monitoring can keep your cloud running smoothly and efficiently.

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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

Former Samsung Staff Arrested for Allegedly Sharing Chip Secrets With China

An ex-Samsung executive and a senior researcher are being accused of helping Chinese authorities build a chip factory that uses Samsung tech... read more  

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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

Build Redis from scratch

Learn how to build an in-memory database like Redis in Go, covering commands like strings and hashes, using go routines for concurrency, and persisting data with the Append Only File, all explained through four straightforward code files... read more  

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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

How to manage the rising tide of CVEs

In2023, SecurityScorecard recorded29,000 vulnerabilitieswith an expectation of hitting nearly35,000 in 2024, highlighting the ongoing challenge for organizations to manage and prioritize CVEs effectively amidst a rising tide; as Amit Bismut emphasizes, context and risk-based prioritization are cruci.. read more  

How to manage the rising tide of CVEs
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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

Meta scraped every Australian user's account to train its AI

Meta's global privacy director admitted that, unlike the EU where GDPR mandates opt-out options for AI data collection, Australians can't prevent Meta from scraping their Facebook and Instagram data for AI training, including photos and texts from as far back as 2007, unless set to private, sparking.. read more  

Meta scraped every Australian user's account to train its AI
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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

Noisy Neighbor Detection with eBPF

eBPF hooks track process state changes and CPU switches, enabling precise run queue latency measurement by storing timestamps in a hash map and calculating delays, while integrating cgroup IDs through RCU-protected kfuncs for detailed metrics which are then sent via ring buffer to a Go userspace app.. read more  

Noisy Neighbor Detection with eBPF