AWS Nitro: El secreto detrás de la virtualización en AWS - Related to el, percona, valkey, units:, de
AWS Nitro: El secreto detrás de la virtualización en AWS

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After months or years of hard work, you’ve just pushed your open source project to GitHub and made it public. Now it’s time to tell the world about it......
The counter mode of operation (CTR) is defined in the NIST Special Publication 800-38A, pp. 15-16. I'd summarize it like this: The CTR mode transforms......
Container query units: cqi and cqb

A little gem from Kevin Powell’s “HTML & of the Week” website, reminding us that using container queries opens up container query units for sizing things based on the size of the queried container.
cqi and cqb are similar to vw and vh , but instead of caring about the viewport, they care about their containers size. cqi is your inline-size unit (usually width in horizontal writing modes), while cqb handles block-size (usually height).
So, 1cqi is equivalent to 1% of the container’s inline size, and 1cqb is equal to 1% of the container’s block size. I’d be remiss not to mention the cqmin and cqmax units, which evaluate either the container’s inline or block size. So, we could say 50cqmax and that equals 50% of the container’s size, but it will look at both the container’s inline and block size, determine which is greater, and use that to calculate the final computed value.
That’s a nice dash of conditional logic. It can help maintain proportions if you think the writing mode might change on you, such as moving from horizontal to vertical.
Transitioning Top-Layer Entries And The Display Property In CSS.
We are getting spoiled with so many new feat......
In my previous posts, we explored how LangChain simplifies AI application development and how to deploy Gemini-powered LangChain applications on GKE. ......
We're a place where coders share, stay up-to-date and grow their careers....
Percona Backs Valkey With Enterprise-Grade Support

Percona, which provides enterprise support for open source database systems such as MongoDB and MySQL, has expanded its portfolio to also support the open source Valkey in-memory data store as well, the enterprise revealed Tuesday.
The support plan, Percona Support for Valkey, is a comprehensive service for 24/7 support of Valkey deployments. It comes in two forms: one for production and another “premium” offering for critical applications that may need immediate help when things go awry.
For those already on Redis, from which Valkey was forked last year, the enterprise also offers Valkey Migration services to help with the transition, should they wish to go that route.
“The almost immediate explosion of interest and support for Valkey goes beyond just the technology itself,” introduced Peter Zaitsev, co-founder at Percona, in a statement. “It wasn’t simply a matter of companies looking to control costs. It was an expression of widespread dissatisfaction and frustration that people are feeling with self-proclaimed ‘open source’ software vendors suddenly deciding to abandon the model.”.
“Redis never moved this fast,” expressed Martin Visser, Percona tech lead for Valkey, in an interview with TNS, noting the second major release of Valkey, version [website], is due to be released soon.
The project attracted engineering help from major tech players, including Amazon Web Services (AWS), Google Cloud, Ericsson — and from Percona itself.
Valkey version [website], which came out in September, was the first major release that advanced the original codebase in significant ways, including multicore utilization and asynchronous I/O threading, which were two long-sought-after capabilities that improved performance considerably, .
Those wishing to use the software — or migrate their current version of Redis over — will likely need some commercial support, Visser noted.
Like any open source software, organizations can certainly run Valkey in-house, though there will be issues that they will run into that will be difficult to mitigate without some serious engineering help, including inefficient key-value store configurations, high-latency operations, complex migrations and misconfigured settings, the enterprise warned.
A Percona survey found that 75% of Redis customers are either testing, considering or have already adopted Valkey, and 76% are planning to utilize third-party enterprise support.
Going forward, Percona will dedicate engineering resources to enhancing Valkey’s programmability, as well as offer security enhancements and bug fixes.
The business has no plans of launching its own distribution, like it did for MongoDB and MySQL, but contribute capabilities directly upstream, Visser explained.
Artificial intelligence (AI) lets you manage WordPress in many ways, including generating AI content, creating images, improving SEO, and more.
You’ve read the memos and listened to the talks.
InfoQ is introducing its first hands-on software architecture certification at QCon London 2025 (April 7-11), the international software development c......
Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
7.5% | 9.0% | 9.4% | 10.5% | 11.0% | 11.4% | 11.5% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
10.8% | 11.1% | 11.3% | 11.5% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Enterprise Software | 38% | 10.8% |
Cloud Services | 31% | 17.5% |
Developer Tools | 14% | 9.3% |
Security Software | 12% | 13.2% |
Other Software | 5% | 7.5% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Microsoft | 22.6% |
Oracle | 14.8% |
SAP | 12.5% |
Salesforce | 9.7% |
Adobe | 8.3% |
Future Outlook and Predictions
The Nitro Secreto Detrás landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the software dev sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing software dev challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of software dev evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.