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Florida lawyer Lawrence Walters, an expert on obscenity law, said that web model camera shows are not illegal in nature as long as the models are over the age of 18 and are being performed at home or in a model’s studio. Rachel Stuart, a sex work researcher, points to an interesting paradox in English law that focuses on uploading pornographic records, but is not interested in erotic performance when posted on camera online.

For example, the 2014 Audiovisual Media Services Regulation prohibits the depiction and uploading of certain actions by pornography producers in the UK, and the 2017 Digital Economy Act aims to restrict minors’ access to pornographic material online. And yet neither law will have any effect if performances are published rather than recorded. Stuart describes the legal enigma in the UK as follows: “There is no effect of committing an explicitly pornographic act through a webcam, but if the same show was recorded and uploaded, the actor could be fined.”

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Newly detected ‘mysterious’ malware targets Macs running Intel and M1 chips

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Intel Corp. chips and the company’s own M1 chips. A new type of malware has been discovered that infects their computers, but what is the purpose behind the malware is oddly unknown.

Detailed As a result of security research conducted at Red Canary last week, the malware targets LaunchAgent, a root-level folder in macOS that contains scripts to automatically manage system processes such as backups made with Apple’s Time Machine. LaunchAgents folders initialized at startup In 2012 To help prevent malware attacks, however, the same folders today are now targeted in the “mysterious” malware attack.

Usually at this point in a malware-related post, there will be a description of what the malware is doing and a description of its purpose. This is not the case here, which Red Canary researchers call “Silver Sparrow”. The malware has been confirmed to exist on newer Macs, including those with the M1 chip, but it hasn’t done anything bad so far.

However, this could change. “While we have not yet observed that Silver Sparrow provides additional malicious payloads, its forward-looking M1 chip compatibility, global reach, relatively high contamination rate and operational maturity make Silver Sparrow a very serious threat and unique to provide a potentially effective load it shows that it is positioned in some way as soon as possible, ”the researchers said.

So, even though the malware has been detected and is clearly visible, at some point in the future, those behind the malware can use it to install various code that can harm macOS users.

Silver Sparrow is said to infect macOS installations with the use of a new JavaScript for execution, a type of infection that researchers have previously stated they have not encountered with other types of macOS malware. It is also the first approved form of malware to infect Apple computers running M1 chips. introduced In November. Over time, they will replace Macs running Intel processors.

“The ultimate purpose of this malware is a mystery,” the Red Canary researchers concluded. “If a payload has already been delivered and removed, or if the enemy has a future timeline for distribution, we cannot know with certainty which payload will be distributed by the malware.”

Image: Red Canary

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Low-code software platform provider Creatio raised $ 68 million

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Low code software platform company Creatio He hopes to grow his business after announcing a $ 68 million capital increase today.

The tour was led by the US growth capital firm Volition Capital. Horizon Capital, a private equity firm, also joined the tour. Creatio said it will use its new funds to invest in research and development, global marketing and sales expansion to boost its current momentum.

Formerly bpm’online Ltd. Creatio, known as Creatio, sells tools that include a low-code business process management platform that enables employees with no coding skills to build enterprise applications with minimal effort using drag and drop. interface to guide them. The same user interface can be used to create complex business processes that help manage interactions between colleagues, customers, and partners.

The company also offers a customer relationship management platform that helps accelerate marketing, sales and service delivery, as well as Creatio Marketplace, which includes a variety of ready-to-use applications and templates that can extend the platform’s functionality in just a few clicks.

Creatio’s funding announcement is timely, as it is a market for low-code software development tools. quickly entering the hyper-growth phaseAccording to a report from the analyst firm Gartner Inc. last week. Gartner said the low-code market “combined with digital outages, hyper-automation, and the rise of aggregable business,” a direct result of the COVID-19 outbreak, will grow 23% this year to $ 13.8 billion. .

Creatio said it saw rapid exponential growth in 2020 and reached the highest net holding rate in its history that year.

Creatio’s new supporters cited this growth potential as the main reason they got behind the company. “We see Creatio’s leadership position getting stronger as companies adopt low-code solutions that close the IT delivery gap and turn any organization into a low-code company,” said Roger Hurwitz, managing partner of Volition Capital.

“It’s a critical time for digital and IT leaders to leverage technology and transform their organizations into low-code companies,” said Katherine Kostereva, co-founder and CEO of Creatio. “This investment will enable us to continue building towards the vision of creating a new world in which any company can automate and change business processes quickly and at scale.

To talk more about Creatio’s CRM platform capabilities, Kostereva appeared on SiliconANGLE Media’s mobile livestream studio CUBE in 2019:

Photo: SiliconANGLE

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Splunk clears ‘fog of complexity’ to bring observability from cloud to device

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The benefits of adopting the cloud are indisputable, but the resulting architectural complexity has hampered the vision of IT professionals. In-house network monitoring, a requirement for local observability in the cloudy from the data center to the edge, in an organization’s information technology stack.

“Where an application is run in a data center with three different layers, it can now be on hundreds of machines all over the world, and opaque networks, opaque data centers, and often the only time you see how things come together can be obvious to the user’s desktop,” he said. Craig hyde, Senior Manager of Product Management at Splunk Inc.

Hyde and Splunk colleagues Arijit Mukherjioutstanding architect; Mike cohen, head of product management, network monitoring; and Patrick lin, (pictured), vice president of product management, observability, attended John furrierPresenter of theCUBE, SiliconANGLE Media’s live broadcast studio, for a special four-part CUBE Talk on the importance of observability and how to do it. Splunk’s history Big data analytics helps the company tackle today’s monitoring challenges. (* Description below.)

View the full CUBE Chat with Craig Hyde here:

Keeping an eye on microservices and containers

The trend for containers and microservices stems from the need for speed and scalability in the development line. But cloud architecture blurred.

“Instead of putting an end to your application that you watched on some hosts that you can restart when there is a problem, now there are dozens, maybe hundreds of services running in a row, maybe hundreds, thousands, maybe tens of thousands of containers,” Lin said.

This provides a few problems in terms of observability: First, you need to watch this in enough detail and at a sufficiently high resolution so that you know when things will come in and out, “said Lin. The movement of the up or down rotating containers.” However, the dependencies and relationships between these different services. understanding is equally important. “

There are many tools to achieve this. Too much for Lin.

“I was looking at some of the toolsets some of our customers have put together and they have the ability to get information about everything, but they did not tap together in a useful way,” he added.

According to Lin, an integrated toolkit is needed to combat the proliferation of this tool, and it needs to be a purpose-built, real-time solution.

“It is difficult to strengthen a system,” he said. “You need to start over… you need some kind of real-time streaming architecture; something that can provide real-time detection and alerts on a wide variety of things to handle the scale and transient nature of cloud environments.”

It, Splunk Observability Suite, published as part of the company Data to Everything Platform during Splunk .conf20 event Lin explained that the integrated solution provides a single and consistent user experience in metrics, logs and monitoring, and provides seamless monitoring, troubleshooting, and research.

“I would say we have the industry’s most comprehensive and powerful combination of solutions to help both IT and developer operations teams tackle these new challenges for monitoring and observability that other tools can’t solve,” he added.

5 Essential DevOps ImplementationsSplunk’s report, with more than 3,000 participants, reveals what separates successful DevOps teams from failed ones, outlining the importance of true end-to-end visibility and recommendations for achieving it.

View the full CUBE Talk with Patrick Lin here:

Under the heading: Splunk Observability

What companies need today observability To be able to monitor and manage application performance, infrastructure, logging, real user activity and digital experience. But tomorrow will bring new ones difficulties.

“Technologies and infrastructures will continue to change; This is a kind of rule of nature right now. The question is, how can we best address this in a future-proof system? “Mukherji asked.

Speaking with Furrier, Mukherji explained how Splunk architects approached the technical challenge of creating a comprehensive and integrated observability solution. According to Mukherji, the most important thing companies have to do is create what they want from an observability solution. Observability is not “just a set of parts,” but “it also provides direct product benefits such as fewer downtime and faster average resolution to understand root causes, understanding what is happening in your environment,” he said.

Full accuracy – to understand every single transaction – it’s a “fascinating superpower” according to Mukherji, because this is “so liberating if you can avoid the loopholes and if you can go back and follow any bad transactions at any time.” I said.

Mukherji stated that the Splunk Observability Suite has what the company calls the NoSample full compliance tracking acquisition “a fundamental guideline”. “For us, it’s not limited to application performance management where a user gets your API and you can keep track of what happened. We’re moving this up to the user where the user performs actions in the browser,” he continued, the end-to-end, no gaps, no sampling of the entire user action. he realized that he was extremely powerful.

Another major problem that Splunk addresses is the inefficiency of vehicle spread.

“If you find yourself using three or four different tools, all of which are part of the critical workload … something could be optimized,” Mukherji said.

Integrating tools into a single user interface that provides cross-tool data on, for example, incident management, infrastructure monitoring, and incident management enables engineers to make faster, faster decisions and preventing or controlling crises.

View the full CUBE Chat with Arijit Mukherji here:

Obtaining network observability for distributed services

The network is a common scapegoat for public cloud problems thanks to the increased opacity of the network infrastructure in the cloud. Although the network is sometimes to blame, equally another reason for the subject.

“To have the right level of visibility in your systems, you need to understand where these issues arise,” said Cohen during a CUBE Talk that got into the core of network-level observability.

Rather than being the culprit for outages, the network is an “untapped resource” for site reliability engineers trying to understand the complex environments created by distributed systems, according to Cohen. Next-level network performance monitoring technologies such as the Extended Berkeley Packet Filter are stylized as follows: eBPF, and Operating system level monitoring They are giving visibility how processes and containers communicate.

“The network is a powerful new dataset that we can combine with other aspects of what people are currently doing in observability,” Cohen said.

eBPF (integrated into the Linux operating system) provides the ability to visualize and optimize a service architecture. This is a big step forward in clarifying the complexities of distributed systems.

“It provides you with an interesting point of contact to automatically observe the behavior of each processing vessel,” Cohen said. “You can see what they’re doing with little overhead and associate it with data from systems like Kubernetes to understand how distributed systems behave. [and] to see how things connect to the other two things. “

According to Cohen, the Splunk Observability Suite takes this to another level, automatically generating a complete service map of the system in seconds without developer input.

“They can automatically gain visibility across the entire system without forcing anyone to change their code,” he said.

It visibility provides not only proactive problem identification and resolution, but also the ability to optimize the system and reduce costs. Cohen said it transforms the network “from a responsibility to a power in these dispersed environments.”

Gartner’s “Innovation View for Observability” notification It outlines the importance of true end-to-end visibility and recommendations for achieving this. The report’s findings underline the importance of an open source solution and approach, applying pragmatic observability to digital work, and increasing implementation uptime by design.

View the full CUBE Chat with Mike Cohen here:

End-to-end observability based on user experience

According to Hyde, the digital transformation genie is out of the bottle and no more putting it back. He defines observability in a broader context than “machine data or network data only” and argues that “is where you can see everything going on inside the application and the digital user experience.”

Advocating the “backward working” method, Hyde, end user experience as a criterion to work on.

“Availability on a server or CPU or processing time in a database, this is all great, but without the context of the target you’re after, it’s kind of useless,” he said.

Splunk “monitoring needs hierarchy”Has three layers, which Hyde describes, starting with simple but simple piles: Check if the machine is in working order. Next scale: Are the apps running on that machine? “How they talk to each other; Are other components with which you make API calls timing out or breaking things? “Hyde explained the need to gain visibility at the container and microservices architecture level.

The cherry on top is the third layer that addresses how the entire technology stack serves the end user. “What’s the experience?” Hyde asked.

According to Furrier, Splunk’s vision of unlocking the power in data has not changed since the company started in the early 2000s. It has yet to evolved to deal with the increasing complexity of cloud services and cloud native architectures.

“Not only is it large to gather everything under one roof, you can also go deep and make all the information you gather into action and useful,” says Hyde, Splunk. “An 800-pound gorilla getting data on machine data and at a large scale.”

Be sure to check out more than siliconANGLE and theCUBEs. CUBE Talks. (* Disclosure: Splunk Inc. sponsored this CUBE Talk. Neither Splunk nor other sponsors have editorial control over the content on the CUBE or SiliconANGLE.)

Photo: SiliconANGLE

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… We would also like to tell you about our mission and how you can help us achieve it. SiliconANGLE Media Inc.’s business model is based on the true value of content, not advertising. Unlike many online publications, we don’t have a paywall or do banner advertising because we want to keep our journalism open with no influence or the need to track traffic.Journalism, reporting and commentary SiliconANGLE – Live, scripted video from our Silicon Valley studio and video teams traveling the world cube – working hard, taking time and money. Keeping quality high requires the support of sponsors that align with our vision of ad-free journalistic content.

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