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ssh – How can 1gig hyperlink be slower to WAN than 10gig hyperlink, on the identical machine?

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ssh – How can 1gig hyperlink be slower to WAN than 10gig hyperlink, on the identical machine?


I am utilizing the next command to check community pace to my.distant.server:

dd if=/dev/random | pv -L 39M | ssh my.distant.server "dd of=/dev/null"

Once I set en0 to 10Gb, efficiency drops considerably (15MB/s add).
However once I set en0 to 1Gb, I get significantly better outcomes (56MB/s add).

This occurs regardless of the 10Gb hyperlink working completely in each different state of affairs!

  • 10Gb performs reliably, giving me round 900MB/s through Samba, and over 10Gbps to an area server utilizing iperf
  • netstat -ibn | grep -i en0 exhibits no errors or collisions on both 1Gb or 10Gb
  • iperf to my.distant.server exhibits anticipated efficiency (56MB/s add) — it is solely SSH that’s gradual!

I’ve analyzed tcpdump captures, and this is what I discovered when utilizing 10Gb:

  • SACK packets seem → packets are arriving out of order on the server (this does not occur on 1Gb)
  • packet measurement is smaller (1440 bytes with 10Gb vs 8640 with 1Gb)

The shopper is macOS. I in contrast settings utilizing sysctl -a and ifconfig en0 for each 10Gb and 1Gb, and confirmed no sudden variations when switching between them.

I’ve examined a number of Mac Studios (together with a brand-new M3 Extremely) utilizing each built-in Ethernet and an OWC exterior Thunderbolt 10Gb adapter. All of them seem to make use of the identical driver:
AppleEthernetAquantiaAqtionInterface

May this sort of conduct be attributable to one thing aside from a buggy community driver? Are there any concepts or workarounds I may strive?

(For now, my plan is to make use of two totally different NICs: one 10GbE for LAN and one 1GbE for WAN.)

Some extra weirdness from testing:

  • When connecting through the VPN IP of the distant server, 10Gb efficiency improves barely (25MB/s vs 15MB/s), however continues to be worse than 1Gb
  • Once I use Cyberduck (SFTP over port 22) to connect with the identical my.distant.server, I constantly get anticipated speeds (50+MB/s)

Issues I’ve tried:

  • sshhpn enabled on each shopper and server (sure, I get the “warning: enabled none cipher” message exhibiting it’s energetic)
  • throttling SSH utilizing pv -L
  • guaranteeing dd makes use of symmetric bs=… choices on each ends
  • sadly, I don’t have entry to non-Apple machines with 10Gb NICs for testing
  • tweaking each related sysctl setting I may discover or that was advisable in macOS efficiency tuning guides

Cisco Safe Consumer’s Cloud Transformation

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Cisco Safe Consumer’s Cloud Transformation


It began over 16 years in the past. Cisco Safe Consumer, then referred to as AnyConnect, rapidly rose to prominence because the go-to VPN answer for organizations worldwide. It grew to become synonymous with dependable, safe distant connectivity, serving to companies bridge the hole between their groups and the assets they wanted.

However know-how by no means stands nonetheless. As threats advanced and workforces grew to become extra dynamic, so did Cisco Safe Consumer. Over time, it remodeled from a trusted VPN shopper right into a multifaceted safety software, providing a variety of superior providers by means of its modular design. Its potential to adapt to trendy calls for made it an indispensable a part of enterprise safety.

For a lot of its journey, deploying Cisco Safe Consumer adopted a well-recognized sample. Directors used tried-and-true strategies: pre-deploying through software program administration programs, delivering it by means of Cisco VPN headends, or instantly putting in it on particular person endpoints. These strategies have been dependable and efficient, standing the take a look at of time as organizations relied on them to maintain customers linked and safe.

However, as with the shopper itself, the best way organizations handle and deploy it’s evolving. Enter the following chapter within the Cisco Safe Consumer story—the place cloud-first methods, built-in instruments, and streamlined deployment pave the best way for a brand new period of endpoint safety.

Revolutionizing Endpoint Safety: Cisco Safe Consumer and XDR

Managing endpoint safety in at present’s panorama isn’t any small job. Enter the Cisco Safe Consumer, now deployable and manageable by means of Consumer Administration in Cisco XDR. For these not utilizing XDR, the standalone Safe Consumer Cloud Administration (CSCCM) software gives comparable performance, with a shared, easy deployment course of.

How Cisco XDR Transforms Your SOC

Sam, a Safety Analyst, and Remi, an Incident Responder, work in a busy Safety Operations Heart (SOC), always managing threats and incidents. They’re typically overwhelmed by the quantity of alerts and the complexity of noticed assaults. However with Cisco XDR, their roles grow to be extra centered and efficient.

Cisco XDR gives Sam with a unified view of safety throughout Cisco and third-party sources, eliminating blind spots. Sam now not wants to change between instruments or fear about lacking essential threats. With AI-driven insights, Cisco XDR hurries up detection and response, serving to Sam establish potential dangers sooner and extra precisely.

When an incident happens, Remi advantages from Cisco XDR’s integration with MITRE ATT&CK mappings, which gives detailed context concerning the assault. This helps Remi perceive the techniques and methods being utilized by adversaries, permitting him to rapidly shut safety gaps and reply with precision.

The ability of noise discount and job automation in Cisco XDR additionally helps Sam and Remi keep centered. By filtering out irrelevant alerts and automating routine duties, they’ll spend extra time addressing high-priority incidents, enhancing their productiveness and response occasions.

For Sam and Remi, Cisco XDR isn’t only a software—it’s a game-changer that makes their SOC extra environment friendly, proactive, and higher outfitted to deal with the evolving risk panorama.

Simplified Administration

The mixing of AMP for Endpoints (Cisco Safe Endpoint) into Cisco Safe Consumer means fewer shoppers to handle and a extra intuitive interface. Shifting from SecureX to XDR or CSCCM is seamless, guaranteeing a easy transition with out shedding essential capabilities.

With Cisco Safe Consumer in XDR, you’re not simply managing endpoints—you’re constructing a safe, environment friendly, and resilient future.

Configuration Familiarity for directors

Lin, the Endpoint Administrator, is tasked with deploying the Cisco Safe Consumer to distant endpoints. She begins by both creating new profiles utilizing the built-in profile editor or importing pre-configured profiles from earlier deployments.

Subsequent, Lin units up the deployment configuration by choosing the required modules—such because the AnyConnect VPN module, Umbrella, and NVM—and associates the suitable profiles with every module to be put in.

The deployment ends in two installer choices:

  • Community Installer: A light-weight installer that features solely the Cloud Administration shopper. Throughout set up, it robotically fetches the remaining mandatory parts.
  • Full Installer: A bigger package deal that incorporates all configured profiles and modules, together with the Cloud Administration shopper, for full set up.

After choosing the suitable installer choice, Lin downloads the installer and distributes it to the endpoints utilizing the identical technique as every other software program deployment. This might contain a programs administration answer like Microsoft Endpoint Configuration Supervisor (MECM), previously referred to as SCCM; Cellular Gadget Administration (MDM), or Enterprise Mobility Administration (EMM) options.

Perception into your cloud-deployed endpoints

A key benefit of cloud deployment—whether or not by means of XDR or CSCCM—is the Consumer Stock. Lin, the Endpoint administrator, advantages from the truth that endpoints deployed through the cloud commonly sync with the administration platform, guaranteeing the stock stays correct and updated in actual time.

The Purchasers web page gives Lin a centralized, detailed view of all Safe Consumer gadgets throughout the group. With each chart and desk codecs, it gives an intuitive overview of deployed endpoints, making monitoring simpler and streamlining the administration of the whole endpoint ecosystem.

Managing Endpoints with Ease: A Unified View

One of many key benefits of cloud deployment—whether or not utilizing XDR or CSCCM—is the Consumer Stock. Equipment, the IT administrator, and Lin, the community administrator, each profit from this function, as endpoints deployed through the cloud robotically sync with the administration platform. This ensures the stock stays correct and updated in actual time, offering them with precious insights into endpoint standing and safety.

The Purchasers web page gives Equipment and Lin a centralized, detailed view of all Safe Consumer gadgets inside the group. With each chart and desk codecs, it gives an intuitive, at-a-glance overview of deployed endpoints. This simplifies monitoring and helps streamline the administration of the whole endpoint ecosystem, enabling each directors to effectively coordinate and deal with any points that come up.

Ongoing Administration of Deployments:

After the preliminary deployment, Equipment, the IT administrator, and Lin, the endpoint administrator, might establish a gaggle of endpoints that want extra modules or up to date profiles for the present configurations. To deal with this, Lin can create a brand new deployment, choose the related shoppers from the stock, and use the Transfer Deployment function. As soon as the chosen endpoints connect with the cloud once more, they may robotically transition to the brand new deployment and set up the up to date modules and profiles.

This streamlined course of ensures that endpoints stay present with the most recent configurations, enabling the crew to rapidly reply to evolving necessities with out the necessity for handbook intervention.

When and When To not Make Modifications

Each endpoint could have a Cloud Administration Module and a Cloud Administration Profile. The Cloud Administration (CM) profile directs the endpoint to how typically to contact the cloud for check-ins. If there have been any modifications to the endpoint’s present deployment, these modifications will likely be utilized in the course of the check-in course of.

The check-in Interval units how typically every Safe Consumer endpoint checks in with the cloud for brand spanking new product variations and up to date profile settings. Shorter check-in intervals end in extra community site visitors, whereas longer intervals imply that your endpoints is not going to obtain updates as rapidly.

The Product Replace Window lets you select to let product updates occur every time they’re obtainable or specify a time vary for them to be put in. This lets you limit updates to your off-hours or extra handy occasions.

Centralized Entry to Important Logging and Gadget Occasions

The Audit Logs gives an in depth document of actions taken within the system, capturing who carried out every motion, when, and the way. It tracks duties comparable to creation, modification, and deletion carried out by directors. Every entry consists of important info—IP deal with, motion (message), operation sort, goal, timestamp, and person particulars—providing clear visibility into current modifications and admin exercise inside the system.

The Gadget Occasions web page gives key info comparable to Host Identify, Final Up to date timestamp, OS Sort, OS Model, and UID. Increasing every occasion entry reveals deployment exercise particulars, together with Occasion Time, Occasion Sort, Timestamp, and IP Handle. Moreover, admins can view full endpoint particulars by pivoting by means of the clickable UID hyperlink.

Conclusion

Cisco Safe Consumer has advanced from a standard VPN answer right into a unified, complete safety shopper that adapts to various safety wants with its modular structure. This single-agent method not solely enhances operational effectivity by consolidating a number of safety features but in addition simplifies deployment and administration for Safety, Community, and IT groups.

With new cloud-based administration choices, comparable to Consumer Administration in Cisco XDR and the standalone Cisco Safe Consumer Cloud Administration (CSCCM) software, directors achieve larger flexibility and management over deployment workflows. These improvements underscore Cisco’s dedication to delivering sturdy, scalable, and versatile safety options tailor-made to the complexities of at present’s dynamic IT environments.

References

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Google Play Console will get a makeover to offer app builders with simpler entry to insights into efficiency and high quality

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Google Play Console will get a makeover to offer app builders with simpler entry to insights into efficiency and high quality


Google’s Android crew is making an attempt to provide app builders higher insights into how their apps are doing with a redesigned Play Console dashboard and new metrics. 

The brand new app dashboard now teams metrics into 4 core developer targets: take a look at and launch, monitor and enhance, develop customers, and monetize with Play. Inside every goal, three of a very powerful metrics for that purpose are highlighted. 

The brand new approach of organizing insights permits builders to see at a look how their app is at the moment doing and the way the metrics change over time. For example, builders can examine their newest launch with total efficiency to see if updates are inflicting any points for customers. 

The Android growth crew can be engaged on including overview pages for the 4 core objects, which must be out there later this 12 months. 

“These pages will assist you shortly perceive your efficiency, showcase instruments and options inside every area, and listing beneficial actions to optimize efficiency, engagement, and income throughout all of your apps,” Dan Brown, Dina Gandal, and Hadar Yanos, product managers at Google Play, wrote in a weblog publish. 

The dashboard additionally presents entry to weblog posts from the Android crew, updates on new options related to an app, and particular invites to early entry applications. 

Builders may even now be capable of personalize their dashboards with particular metrics vital to them by way of the “Monitor KPI developments” part.

Different updates to assist builders enhance app high quality embody:

  • Pre-review checks for detecting and stopping show points on massive screens attributable to letterboxing and restricted layouts. 
  • Prioritized high quality points within the launch dashboard, together with directions on easy methods to repair them
  • A “low reminiscence kill” (LMK) metric that gives insights into reminiscence constraints to enhance app stability
  • An extreme wake locks metric (in beta) to forestall battery drain from apps which are incessantly partially waking the machine

“Collectively, these updates offer you much more visibility into your app’s efficiency and high quality, enabling you to construct extra steady, environment friendly, and user-friendly apps throughout the Android ecosystem,” the crew wrote.

How Google’s Geospatial Reasoning Can Remodel Disaster and Local weather Response

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How Google’s Geospatial Reasoning Can Remodel Disaster and Local weather Response


Google’s newest developments in geospatial synthetic intelligence (AI) are remodeling how we work together with spatial information. By integrating generative AI with specialised geospatial fashions, Google has developed a framework for asking advanced geospatial inquiries to their massive language mannequin, Gemini. This innovation permits professionals in fields like emergency response, metropolis planning, and local weather science to entry quicker and extra environment friendly insights into crucial geospatial intelligence.

Understanding Google’s Geospatial Reasoning Framework

The inspiration of Google’s geospatial AI is its Geospatial Reasoning framework, which mixes generative AI and specialised geospatial fashions to reply advanced questions on spatial information. On the core of this framework is Gemini, Google’s superior massive language mannequin (LLM). Gemini acts as each an orchestrator and an clever analyst. Given a query, it breaks it down into smaller duties and attracts on a number of information sources to generate a solution.

For instance, if requested, “What’s the affect of the latest hurricane on infrastructure?” Gemini pulls satellite tv for pc imagery to evaluate harm, climate information to foretell additional dangers, and demographic info to prioritize help efforts. It integrates these information factors and offers a response, typically accompanied by visualizations like maps and charts. This technique ensures that even advanced, multi-layered questions might be answered in actual time, with out requiring deep technical experience.

Google’s distant sensing basis fashions, educated on satellite tv for pc and aerial imagery, play a crucial function within the system. These fashions can establish options comparable to roads, buildings, and areas affected by disasters. Moreover, the AI system can mix this visible information with different fashions that assess inhabitants actions, infrastructure, and local weather statistics. This integration of various information sources permits Gemini to reply extremely advanced geospatial questions comparable to, “The place are residential buildings with photo voltaic panels?” or “What roads are impassable resulting from flooding?”

Geospatial Reasoning for Disaster Response

Probably the most quick functions of Google’s geospatial reasoning framework is in catastrophe response. Throughout crises like floods, wildfires, hurricanes, or earthquakes, responders face the problem of processing massive volumes of knowledge shortly. Conventional strategies of analyzing this information, comparable to manually reviewing satellite tv for pc pictures or consulting climate forecasts, are sluggish and fragmented. Google’s geospatial framework accelerates this course of by offering real-time insights that may assist responders make higher choices quicker.

As an illustration, after a hurricane, a disaster supervisor might use AI reasoning to match pre- and post-disaster imagery, shortly figuring out areas of extreme harm. The AI may predict secondary dangers, comparable to additional flooding, by incorporating climate forecasts. A easy question like “The place is further flooding seemingly?” would generate a solution backed by each satellite tv for pc information and climate predictions.

Furthermore, the system can reply advanced questions by cross-referencing totally different information units. For instance, a disaster supervisor might ask, “What share of buildings in every neighborhood are broken, and what’s the price of that harm?” The AI would mix satellite tv for pc pictures with property worth information to estimate the financial affect, offering a prioritized record of neighbors in want of help.

By automating these processes, Google’s geospatial reasoning permits the responders to get most correct and up-to-date info shortly in high-pressure conditions.

Geospatial Reasoning for Local weather Resilience

Google’s geospatial reasoning may play a vital function in long-term local weather resilience. As local weather change continues to pose growing dangers to communities worldwide, understanding and mitigating these dangers has by no means been extra crucial. Google’s AI framework can analyze satellite tv for pc imagery over prolonged intervals, serving to to establish patterns in environmental adjustments, comparable to coastal erosion or vegetation loss resulting from drought.

By integrating these geospatial insights with local weather fashions, the AI can reply questions on future local weather dangers, comparable to, “Which residential areas will face the very best flood dangers in 20 years?” or “How will wildfire-prone zones increase by the tip of the last decade?” This capability to foretell future local weather situations, backed by strong information, permits metropolis planners and local weather specialists to make knowledgeable choices about adaptation and mitigation methods.

Moreover, Google’s Inhabitants Dynamics Mannequin can be utilized to simulate how local weather occasions affect human populations, providing very important insights for metropolis officers. For instance, a mannequin might predict which areas are more likely to expertise important inhabitants actions in response to heatwaves, enabling cities to organize cooling facilities and emergency providers prematurely.

Key Benefits of Google’s Geospatial AI

A key benefit of Google’s leap in geospatial reasoning is its scalability and accessibility. In contrast to conventional geospatial instruments that require specialised expertise, geospatial reasoning permits customers to work together with information utilizing easy, pure language queries. This makes geospatial intelligence extra accessible to professionals throughout numerous fields, together with city planners, emergency responders, and environmental scientists.

Google’s reasoning framework integrates a number of information streams, comparable to satellite tv for pc imagery, sensor readings, and climate forecasts, to supply a complete evaluation of any given location. A metropolis planner, for instance, might question Gemini about the perfect areas for brand spanking new infrastructure whereas contemplating elements like flood dangers and inhabitants density. The AI would then present data-driven solutions, full with maps, charts, and different visualizations.

The AI’s capability to interpret advanced, multimodal information ensures that customers can simply entry the data they want with out requiring experience in geospatial evaluation. This user-friendly interface empowers decision-makers to make knowledgeable decisions shortly, bettering each disaster administration and local weather resilience efforts.

Moral Issues and Duties

As with all highly effective know-how, using geospatial AI comes with moral concerns. Making certain the accuracy and equity of AI’s response is significant. As an illustration, satellite tv for pc imagery might not seize information equally throughout all areas, doubtlessly resulting in biased outcomes. Moreover, there are privateness issues associated to using delicate geospatial information, comparable to satellite tv for pc pictures of personal properties.

It’s important to ascertain transparency and accountability in how AI programs are used, significantly in high-stakes situations like catastrophe response and local weather planning. Professionals should be sure that AI-generated insights are verified and interpreted inside their correct context. Furthermore, human oversight stays essential, as native specialists might have information that AI programs can not seize.

The Backside Line

Google’s geospatial AI framework is a big development in how we work together with geospatial information. By combining generative AI with superior geospatial fashions, Google is enabling professionals throughout industries to achieve speedy, actionable insights from advanced spatial information. Whether or not it’s serving to emergency responders save lives or supporting city planners in constructing climate-resilient cities, geospatial reasoning has a possible to rework how we perceive and work together with the world round us.

As geospatial AI reasoning evolves, it’s anticipated to develop into a vital software in addressing a number of the most pressing challenges we face in the present day. Nonetheless, it’s important to make use of this know-how responsibly, making certain that it advantages all communities equitably and is deployed in an moral method. With continued growth and cautious oversight, geospatial reasoning can play a vital function in constructing a extra resilient and sustainable future.

Lower than 10% of plastics are being manufactured from recycled supplies

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Lower than 10% of plastics are being manufactured from recycled supplies



Lower than 10% of plastics are being manufactured from recycled supplies

Solely 9.5% of plastic supplies produced globally in 2022 had been manufactured from recycled supplies. The findings, reported in Nature Communications Earth & Setting, are a part of a complete evaluation of the worldwide plastics sector, which additionally reveals a big improve within the quantity of plastic being disposed of by incineration and substantial regional variations in plastic consumption.

Plastic manufacturing has elevated from two million tonnes per 12 months in 1950 to 400 million tonnes per 12 months in 2022 and is projected to succeed in 800 million tonnes per 12 months by 2050. Because of this, plastic air pollution is a urgent and rising international problem, posing main challenges for the atmosphere, economic system, and public well being. Nevertheless, there’s at present little complete evaluation of the up to date international plastics sector.

Quanyin Tan and colleagues performed an evaluation of the worldwide plastics sector in 2022, utilizing information from nationwide statistics, trade reviews, and worldwide databases to provide an in depth international and regional overview of plastic manufacturing, use, and disposal. Knowledge from their evaluation highlights key tendencies within the international plastic provide chain. Of the 400 million tonnes of plastic produced over the 12 months, just below 38 million tonnes (9.5%) was produced from recycled plastic. 98% of the remaining 362 million tonnes was produced from fossil fuels, predominantly coal and oil.

Round 268 million tonnes of plastic was disposed of over the 12 months, with solely 27.9% despatched for sorting and potential recycling — 36.2% was as a substitute despatched on to landfill and 22.2% was despatched on to incineration. Moreover, solely half of the sorted plastic was truly recycled, with 41% of the sorted plastic as a substitute incinerated and eight.4% despatched to landfill. Nevertheless, the entire share of world plastic waste despatched to landfill in 2022 (40%) has nonetheless decreased considerably in comparison with the estimated 79% of all international plastic waste despatched to landfill between 1950 and 2015. The USA had the very best per capita plastic consumption, with a median of 216 kg of plastic consumed per particular person per 12 months, while China consumed essentially the most plastic total — 80 million tonnes per 12 months.

The authors say the examine supplies essential information for devising future insurance policies and laws.

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