Connect with us

Politics

5 Kubernetes Trends That Will Rock IT in 2022

Published

on

5 Kubernetes Trends That Will Rock IT in 2022


What’s Making Kubernetes So Popular? Kubernetes has become the standard for container management because it enables deployment in various environments, including hybrid cloud, multi-cloud, and on-premises. A growing number of organizations of all sizes employ Kubernetes to automate the deployment process and gain access to a rich set of networking, storage, and security capabilities.

The key advantages of Kubernetes

  • Load balancing—when container traffic is saturated, Kubernetes performs load balancing, distributes network traffic, and stabilizes the deployment.
  • Automated state change—Kubernetes lets you automate various aspects, including removing existing containers, resource provisioning, and various state changes. It enables you to define the container’s desired state and change it as needed.
  • Self-healing—Kubernetes automates various healing tasks. It can filter and replace containers, restart failed containers, and remove or replace containers that are not responding or do not meet user-defined parameters.

Top Kubernetes Trends

Here are key trends driving Kubernetes adoption and use in enterprises.

The Shift to DevSecOps

Containers and Kubernetes create significant security challenges, which are now well understood. Organizations realize that without integrating security into every stage of their development lifecycle, they will not be able to properly secure containerized environments. As a result, DevSecOps patterns are becoming an inseparable part of modern containerized environments.

Supporting this trend, here are some key findings from the recent Red Hat State of Kubernetes Security report:

  • 94% of DevOps teams reported they had a security incident in a Kubernetes cluster over the last 12 months.
  • 55% of teams had to delay Kubernetes production deployments due to security.
  • 60% of teams reported they had a misconfiguration incident over the last 12 months.
  • 15% of teams consider developers as those primarily responsible for Kubernetes security
  • Only 26% of teams still operate DevOps separate from Security—the rest adopt a DevSecOps work model.

GitOps Is Making Continuous Deployment Mainstream

GitOps provides familiar Git-based workflows without managing cloud-native workloads. GitOps is a powerful mechanism because you can treat Git as a single source and reconciling state, and Git lets you quickly roll back.

FluxCD, ArgoCD, Google Anthos Config Management, Codefresh, and Weaveworks are just a few options available for implementing GitOps.

GitOps is evolving to support multi-tenant and multi-cluster deployments, making it easy to manage tens of thousands of Kubernetes clusters running at the edge or in hybrid environments. As a result, GitOps is becoming the gold standard for continuous deployment.

The Accelerating Shift to the Cloud

Cloud migration is not a new concept. In fact, 94% of enterprises already use hybrid, multi-cloud, public, or private cloud services. In addition, organizations employ containers to accelerate software delivery and increase the flexibility of cloud migration.

The shift to the cloud accelerates as remote work increases. This transition is likely to continue this upward trajectory. In fact, Gartner expects organizations to spend more than $1.3 trillion on migration to the cloud in 2022.

As they move to the cloud accelerates, we can expect hyperscalers such as Amazon, Microsoft, and Google to progressively provide new tools to simplify the move to container-native environments.

Stateful Applications

Most applications today are stateful. However, while technological advances such as containers and microservices have made it easier to develop cloud-based applications, their dynamism has made stateful processes more challenging to manage.

The need to run stateful applications in containers continues to grow. Containerized applications can simplify deployment and operations in complex environments including, edge, public cloud, and hybrid cloud. Maintaining state is also essential for continuous integration and delivery (CI/CD) to ensure a coherent process from development to production.

Stateful applications are becoming a primary focus for Kubernetes, with unique mechanisms developed especially for stateful use cases:

  • PersistentVolumes are constructs that allow a Kubernetes cluster to store data persistently and will enable it to be accessed even after containers shut down.
  • StatefulSet is a deployment mechanism that creates a set of pods in which each pod has a sticky identity and a connection to PersistentVolumes.

AI and Machine Learning

Kubernetes has been widely adopted for artificial intelligence and machine learning (AI/ML) workloads. However, AI algorithms often require significant computing power, and organizations have tried different approaches to deliver these capabilities: manual scaling on bare metal, VM scaling on public cloud infrastructure, and high-performance computing (HPC) systems.

But perhaps the most powerful and easy-to-implement option is Kubernetes. Packaging AI/ML workloads as containers and running them as clusters on Kubernetes provides flexibility for AI projects, high utilization of resources, and a self-service experience for data scientists.

Containers allow data science teams to create and consistently replicate tested environments without reconfiguring GPU support each time they run workloads. The latest version of Kubernetes includes experimental GPU support from NVIDIA and AMD. NVIDIA also provides a library of containerized machine learning applications prepackaged as containers and optimized to run on NVIDIA GPUs.

Conclusion

The evolution of Kubernetes is intertwined with the evolution of the DevOps movement itself. If ten years ago, “DevOps” was synonymous with Linux or Jenkins, today it is synonymous with Kubernetes. Thus, the trends driving Kubernetes are the hottest trends being adopted by development teams. From DevSecOps to GitOps, these are big new ideas that can change the way we do things and improve effectiveness by orders of magnitude.

Whether you are a developer, a DevOps engineer, or in a management role, it is becoming more critical than ever to stay current and stay ahead of the curve on the cutting edge of software development.

Image Credit: Tima Miroshnichenko; Pexels; Thank you!

 

Gilad Maayan

Technology writer

I’m technology writer with 20 years experience, working with the leading technology brands including SAP, Imperva, Check Point and NetApp. Three time winner of international technical communication awards. Today I lead Agile SEO, the leading marketing and content agency in the technology industry.

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

Published

on

Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

Continue Reading

Politics

Fortune 500’s race for generative AI breakthroughs

Published

on

Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Continue Reading

Politics

UK seizes web3 opportunity simplifying crypto regulations

Published

on

Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Continue Reading

Copyright © 2021 Seminole Press.