Experiment: IT companies eager to hire self-taught pros
“Self-education can be a valuable pathway to a successful career in
cybersecurity and IT,” he says. “However, it may be challenging for
self-learners to gain a comprehensive understanding of complex topics without
structured guidance.” He adds: “Many cybersecurity roles require
certifications and degrees for the validation of skills and knowledge. And while
self-learners can earn certifications through self-study, some employers may
still prefer candidates with formal degrees or recognized
certifications.” Traditional education often provides opportunities for
networking and internships, which can also be essential to career
growth. "It's a very exciting time for education right now. People who are
yearning to learn have a myriad of choices. Traditional paths are no longer the
only way to secure essential experience and expertise to build careers,” said
Sharahn McClung, career coach at TripleTen, an online part-time coding
bootcamp. She believes that self-education puts learners in the driver’s
seat, and people can find what they need to fit their unique circumstances and
goals.
Eliminate roles, not people: fine-tuning the talent search during times of change
When someone expresses an interest in something, whether it’s emerging tech or
a new process, are they going to step up? Do they know what they claim to
know? And at the end, are they excited about sharing that? If you see that
passion, pick them up and put them where they want to be and you’ll have such
greater morale and engagement. It really is something any organization can do;
they just have to make the space for it. It’s something where any HR leader
can ask an employee, “Are you doing something you’re passionate about? Is
there something you want to learn more about? Would you rather grow more in
your current role, or explore another facet of the business?” Ask and you’ll
be amazed at the data you get from one well-crafted question. From there, you
can create that talent bank that says, “Oh, Julia actually said she was really
interested in mobile computing, so we’re picking you up and putting you right
here.” It’s easily done and accomplished, but I’m also a big fan of
demonstrating what you know. So if you’re passionate about something, you know
the universal knowledge behind it.
Top Intent-Based Networking Benefits and Challenges Explained
Intent-based networking (IBN) is a software-enabled automation technique that
improves network operations and uptime by combining machine learning, artificial
intelligence, analytics, and orchestration. IBN allows for flexible and agile
network design that optimizes the quality of service for end users, using an
algorithm that automates much of the process and scales well at a low cost.
While traditional approaches to network management can scale up to a certain
point, they quickly run into problems as a network grows larger. IBN addresses
these issues by automating processes based on intent, giving network
administrators tools that make it easier to manage large networks. ... IBN
architecture is guided by a high-level business policy derived from user
feedback. The software then checks to see if a user’s query is doable and sends
proposed setups to the network administrator for authorization. This means
intent is translated into actionable plans by validating against current network
constraints.
Older workers are skilled and attentive listeners and prove to be exceptional
assets in the workplace due to their receptiveness to training. Their ability
to grasp instructions effectively and apply them with minimal repetition is a
valuable trait. ... Older talents make excellent employees due to their
efficiency and the confidence they have in sharing their suggestions and
ideas. Their extensive experience in various roles equips them with a deep
understanding of how tasks can be executed more effectively, ultimately
leading to cost savings for companies. Additionally, their years of experience
have cultivated their self-assuredness, making them unafraid to communicate
their insights and recommendations to management. ... Hiring older workers can
lead to significant savings in labour costs. Many of them come with existing
insurance coverage from previous employers or have supplementary sources of
income, which makes them more open to accepting slightly lower wages for their
desired positions.
Are You a Disruptor or a Destructor? A Complete Guide to Innovation for Today's Leaders
Disruptive Innovation is a term coined by Clayton Christensen in 1997. It refers
to a process where a smaller company, often with fewer resources, manages to
challenge established industry leaders. The disruptors do this by targeting
overlooked market segments or creating new markets altogether. Over time, these
disruptors refine their products or services and start attracting a broader
audience, eventually undermining the existing market leaders. ... On the flip
side, Destructive Innovation refers to technologies or practices that harm or
make existing models obsolete without adding significant value to the industry
or consumers. ... the path you choose has profound implications for your
business model, market positioning, and long-term sustainability. Whether you're
a seasoned executive, a budding entrepreneur or a forward-thinking sales
director, understanding these terms can help you steer your company in the
direction that leads to long-term success rather than a short-lived buzz.
Platform Engineering: What’s Hype and What’s Not?
Rather than dealing a death blow to DevOps, a more accurate take is that
platform engineering is the next evolution of DevOps and SRE (site reliability
engineering). In particular, it benefits developers struggling with code
production bottlenecks as they wait on internal approvals or fulfillment. It
also helps devs deliver on their own timeline rather than that of their IT team.
And it helps operator types (such as SREs or DevOps engineers) who are feeling
the pain of repetitive request fulfillment and operational firefighting — busy
work that keeps them from building their vision for the future. ... The agile
development practices that are at the core of DevOps culture — such as
collaboration, communication, and continuous improvement — have not extended to
the operations domain. This has hobbled the ability of agile development teams
to quickly deliver products. In order not to perpetuate this dynamic, DevOps
team culture should evolve to support platform engineering, and platform teams
should embrace DevOps team culture.
10 principles to ensure strong cybersecurity in agile development
Security is a team sport. Every developer needs to play their part in ensuring
that code is free of security loopholes. Developers often lack the knowledge
and understanding of security issues and they tend to prioritize software
delivery over security matters. To empower developers, organizations must
invest resources towards coaching, mentoring, and upskilling. This includes a
combination of security training and awareness sessions, mentoring from senior
developers, specialized agile security training events, and access to freely
available resources such as OWASP, CWE, BSIMM (Building Security In Maturity
Model), SAFECode, and CERT. ... It’s less costly and more efficient to bake
security in from the start, rather than trying to add it after the cake comes
out of the oven. Leadership must establish processes that help manage
information risk throughout the entire development lifecycle. This includes
agreeing on high-level application architecture from a security perspective,
identifying a list of "security-critical" applications and features,
performing a business impact assessment, conducting information risk and
vulnerability assessments at early stages, and a process for reporting newly
identified risks.
“Embrace cybersecurity automation and orchestration, but in moderation,” says my puppy
There are three general principles to employ when using automation and
orchestration to minimize these risks and maximize the gains in efficiency,
cost reduction, and security effectiveness:Scale: automate at small scales,
not large. Large-scale automation can be done, but is best done through
incremental increases and gains over time rather than in monumental leaps and
gains. Look and test: look at the blind spots that automation can cause and
test actively with red teaming and purple teaming. If automation is driving
analysts to investigate a certain way, occasionally send them different types
of prompts or alerts or look at the data that is ignored. Check under the
hood: make sure that those who are getting support and are growing their
skills in the shadow of automation and orchestration understand how that
happens. Encourage skepticism in the system itself in operations. Overall,
automation and orchestration are both critical components of a strong
cybersecurity strategy. Arguably, they may be necessary to grow in maturity
and handle advanced threats at scale.
The future of private AI: open source vs closed source
When deciding which approach to take, investment is always a consideration.
Developing private AI models in-house typically involves a greater investment
than platform or public cloud options, as it requires businesses to fund and
build a team of experts, including data scientists, data engineers and
software engineers. On the other hand, taking a platform approach to private
AI does not require a team of experts, which significantly reduces the
complexity and cost associated with private AI deployment. Speed of deployment
is another consideration. ... Another important factor to consider when
choosing an AI strategy is whether to train AI using an open source AI or a
closed AI model. While open source AI is pre-trained on huge sets of publicly
available data, the security and compliance risks associated with this
approach are significant. To mitigate risks, organisations can adopt a hybrid
open source AI model, where their data is kept private but the code, training
algorithms and architecture of the AI model are publicly available. Closed AI
models, on the other hand, are kept private by the organisations that develop
them, including the training data, AI codebase and underlying
architecture.
Domain-Driven Cloud: Aligning your Cloud Architecture to your Business Model
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DDC extends the principles of DDD beyond traditional software systems to
create a unifying architecture spanning business domains, software systems and
cloud infrastructure. Our customers perpetually strive to align "people,
process and technology" together so they can work in harmony to deliver
business outcomes. However, in practice, this often falls down as the Business
(Biz), IT Development (Dev) and IT Operations (Ops) all go to their separate
corners to design solutions for complex problems that actually span all three.
What emerges is business process redesigns, enterprise architectures and cloud
platform architecture all designed and implemented by different groups using
different approaches and localized languages. What’s missing is a unified
architecture approach using a shared language that integrates BizDevOps. This
is where DDC steps in, with a specific focus on aligning the cloud
architecture and software systems that run on them to the bounded contexts of
your business model, identified using DDD.
Quote for the day:
"If you spend your life trying to be
good at everything, you will never be great at anything." --
Tom Rath
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