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The starting point in traffic management is to examine your router policies to
see whether you’re picking routes correctly, but sometimes even controlling
routing policies won’t get your flows going along the routes you want. If that’s
the case, you have a traffic-management issue to address. The best tools to add
traffic management capability are MPLS and SDN. MPLS lets routers build routes
by threading an explicit path through routers. SDN eliminates the whole concept
of adaptive routing and convergence by having a central controller maintain a
global route map that it gives to each SDN switch, and that it updates in
response to failures or congestion. If your network consists of a VPN service
and a complicated LAN, SDN is likely the better option. If you actually have a
complex router network, MPLS is likely the right choice. With either MPLS or
SDN, you know where your flows are because you put them there. There’s also the
option of virtual networking, if neither MPLS nor SDN seems to fit your needs.
Almost all the major network vendors offer virtual networks that use a second
routing layer, and by putting virtual-network routers at critical places you can
create explicit routes for your traffic.
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There’s a lot to like about this approach to UIs. For one, it builds on what I
consider to be the key lesson of the last decade on the web: We need to design
our APIs first. That makes UI just another API client, using REST and JSON to
communicate with microservices. We can then have many different UIs working
against the same back end, all using the same calls and having the same impact
on our service. It simplifies design and allows us to predictably scale
application architectures. At the same time, a fixed set of APIs means that
service owners can update and upgrade their code without affecting clients. That
approach led to the development of concepts like the Jamstack, using JavaScript,
APIs, and Markup to deliver dynamic static websites, simplifying web application
design and publishing. Blazor Hybrid takes those concepts and brings them to
your code while skipping the browser and embedding a rendering surface alongside
the rest of your application. You can work offline where necessary, a model that
becomes even more interesting when working with locked-down environments such as
the Windows 11 SE educational platform.
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The Stream API brought a new programming paradigm to Java: a declarative way
of processing data using streams—expressing what should be done to the values
and not how it should be done. More importantly, the API allows you to harness
the power of multicore architectures for the parallel processing of data.
There are two kinds of streams.A sequential stream is one whose elements are
processed sequentially (as in a for loop) when the stream pipeline is executed
by a single thread. A parallel stream is split into multiple substreams that
are processed in parallel by multiple instances of the stream pipeline being
executed by multiple threads, and their intermediate results are combined to
create the final result. A parallel stream can be created only directly on a
collection by invoking the Collection.parallelStream() method. The sequential
or parallel mode of an existing stream can be modified by calling the
BaseStream.sequential() and BaseStream.parallel() intermediate operations,
respectively. A stream is executed sequentially or in parallel depending on
the execution mode of the stream on which the terminal operation is
initiated.
Design-First begins with both technical and non-technical individuals from
each of the functions involved participating in the process of writing a
contract that defines the purpose and function of the API (or set of APIs).
Obviously, this approach requires some time upfront spent on planning. This
phase aims to ensure that when it comes time to start coding, developers are
writing code that won't need to be scrapped and rewritten later down the line.
This helps create iterative, useful APIs that, in turn, lead to a better, more
scalable API program — and value to your business — as a whole. Regardless of
which approach you choose, the most critical thing to think about is how to
deliver positive experiences for stakeholders, including end-users,
third-party or in-house developers, and even folks from the rest of the
company who may have a role. I think of APIs like technology ambassadors — the
digital face of a brand — as they form a network of internal and external
connections. And as such, they should be designed and crafted with care, just
like any other product or service that your company offers.
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At Western Digital, we recognize the importance of doing our part to contain
global temperature rise. So it was important to pledge and set our ambitious
goal to help limit the increase to less than 1.5°C by 2030. While we’ve made
significant improvements the past few years, we have a lot of work to do to
achieve our goal. It is particularly challenging to achieve the goal while the
factory is going through expansion. So that’s why we rely on 4IR technologies to
drive eco-efficiency. ... Our strategy hinges on three approaches:
accountability, digital, and partnerships. First, it’s about setting bold
climate commitments that demonstrate our accountability to making science-based
progress. For more than three decades, we’ve been setting publicly facing
environmental goals. And we continue to commit to bold goals, including the
intention to source 100 percent of our global electricity needs from renewable
sources by 2025 and to be carbon neutral in our global operations by 2030. Along
with that, we’re harnessing digital and Industry 4.0 advanced-manufacturing
technologies to reduce our carbon footprint and, to your earlier point, drive
greater resilience.
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A resourceful CIO is able to blend prior experience with multiple variables,
such as accepted frameworks, methodologies, and cultural and political
landscapes. “In essence, the new CIO, when effectively using resourcefulness, is
in the best position to challenge the current paradigm of the enterprise and
chart the path forward,” says Greg Bentham, vice president of cloud
infrastructure services at business advisory firm Capgemini Americas. Joining a
major enterprise and establishing trust within a new organization is perhaps the
most challenging task a CIO will ever face. Many obstacles will inevitably
surface and need to be resolved. While prior experience and frameworks can be
applied, reality suggests that history never exactly repeats itself. Top
enterprises expect that their new CIO will possess the knowledge and creativity
to overcome even the most challenging barriers. The best way to become
resourceful is through direct experience gathered throughout an IT career,
particularly experiences that spurred organizational changes, Bentham says.
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In a perfect world, employees in labor-intensive roles will be re-trained to
tackle more creative and complex problem-solving tasks. Less-experienced workers
will be able to quickly skill up with AI-augmented on-the-job training. In some
cases, AI-equipped cameras are already enhancing, rather than replacing, human
labor. By monitoring assembly-line production, tracking worker steps and
processing findings into actionable feedback, this data technology can deliver
valuable movement-efficiency training to employees on the line – including how
to safely and efficiently move and operate in spaces shared by humans and
robots. Yet who’s footing the bill here? How do business owners benefit from the
adoption (and, of course, investment in) data technology? First and foremost is
the obvious and immediate benefit of reducing lost labor hours due to injuries
and worker-compensation-related costs. But there is also the knock-on effect of
promoting a healthier and (hopefully) happier workforce. The question then
becomes how to gain the buy-in of labor.
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IT and facilities teams sometimes rely on strong third-party relationships to
enable multi-location collaboration. This often means having a good relationship
with a telecommunication service provider (or providers, depending on the
internet services available in the various locations), complete with a service
level agreement that specifies the exact network performance standards to be
met. Likewise, it’s essential to have built trust between all the companies that
deliver the organisation’s collaboration technology, whether hardware or
software. It may also be that IT teams rely on local managed service providers
to provide on-site support on their behalf. Collaboration, and the technology
that enables it, has become a core tenet of the post-pandemic workplace – but it
means different things to different organisations. Sometimes, it’s about
internal communication using voice and videoconferencing, messaging, and
webinars. Perhaps these integrate with an office productivity suite or customer
relationship management software, enhancing productivity and communication with
colleagues, clients, or prospects. Other times, it’s about implementing the best
solutions for your office space.
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Edge cloud networks can provide continuous high-bandwidth connectivity between
aircraft and the internet. This enables data transmission even in mid-air, with
edge computing providing a filter for the most relevant information – reducing
overall bandwidth usage. Servers on the ground can then selectively pull data
from the edge servers on the aircraft for more detailed, real-time analysis –
helping to spot potential problems and advise immediate remedial actions. This
high-bandwidth connectivity can send the information needed to allow airlines to
predict components and other failures before their occurrence and empower
organisations to take the necessary steps to address these faults. Systems can
generate automatic notifications from the plane to enable ground crews to
prepare for repairs at the next landing point. Maintenance teams can more easily
manage their parts and resources with access to detailed information. Edge
computing also holds potential for enabling aviation operators to develop a
mobility infrastructure that incorporates intelligent connected vehicles within
a more extensive transportation network.
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There are five strategies cybersecurity vendors should rely on to help their
enterprise customers close widening gaps in their security tech stacks. Based
on conversations with endpoint security, IAM, PAM, patch management and remote
browser isolation (RBI) providers and their partners, these strategies are
beginning to emerge in a dominate way among the cybersecurity landscape. ...
Enterprises need better tools to assess risks and vulnerabilities to identify
and close gaps in tech stacks. As a result, there’s a growing interest in
using Risk-Based Vulnerability Management (RBVM) that can scale across cloud,
mobile IoT and IIoT devices today. Endpoint Detection & Response (EDR)
vendors are moving into RBVM with vulnerability assessment tools. Leading
vendors include CODA Footprint, CyCognito, Recorded Future, Qualys and others.
Ivanti’s acquisition of RiskSense delivered its first product this month,
Ivanti Neurons for Risk-Based Vulnerability Management (RBVM). What’s
noteworthy about Ivanti’s release is that it is the first RBVM system that
relies on a state engine to measure, prioritize and control cybersecurity
risks to protect enterprises against ransomware and advanced cyber threats.
Quote for the day:
"The art of communication is the
language of leadership." -- James Humes
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