#GigaOM

[govindhtech]

GigaOm: Your Guide to Understanding the Latest Tech Trends

The need of creativity in regional development settings

You probably already know how dev-optimized virtual desktop infrastructure (VDI) can revolutionize today’s developer workstation if you’ve been following our Microsoft Dev Box journey. Complex environment setup, lost productivity from competing setups, and a lack of scalability are often the bane of traditional, physical workstations. By giving developers self-service access to project-based workstations that are already setup, Microsoft Dev Box aims to address these issues while upholding centralized management and IT controls.

About GigaOm

GigaOm will examine the benchmark study Assessing Microsoft Dev Box Cloud-Based Developer Workstations, which was carried out by GigaOm, an independent research organization with extensive experience, in this blog post. Continue reading to find out how alternative dev workstations compare to Microsoft Dev Box.

Key findings from GigaOm’s research

The results of GigaOm’s thorough examination of Microsoft Dev Box capabilities at the beginning of the year, which included a thorough examination of performance configurations and field testing in which they installed a fresh Microsoft Dev Box, created custom images, and made use of Microsoft Visual Studio caching, speak for themselves.

GigaOm’s practical testing further deconstructed this conclusion into three main conclusions:

Compared to VDI options, Microsoft Dev Box greatly increased developer productivity while lowering setup time and IT expense.

Even while using public Wi-Fi and hotspots, the developer typing experience felt just as nice as on a local workstation.

With the example Chromium code base, a Microsoft Dev Box solution coupled with Visual Studio outperformed VDI or local clients in terms of performance.

How Microsoft Dev Box improves security and developer productivity

There are three main ways that Microsoft Dev Box adds value to organizations:

Transforming the experience of using a developer workstation.

Speeding up development processes with settings depending on projects.

Preserving centralized control and security.

GigaOm’s Performance Benchmark verified these claims. Let’s examine Microsoft Dev Box’s perks and GigaOm’s testing.

Enhancing the dev workstation

Self-service, on-demand access to your own workstations with Microsoft Dev Box revolutionizes dev workstations. You may boot up a dev box instance on any device without waiting for IT help, which is crucial when developer agility is key.

GigaOm’s ready-to-code dev box tests:

Microsoft Dev Box made developer typing seem like on a local workstation, even via hotspots and public Wi-Fi, and useable on poor internet connections. Microsoft Dev Box also benefits remote workers with poor or inconsistent internet by eliminating the need to download huge source files or development environments to their local device. Developing, creating, and testing apps feels like being in the datacenter.

GigaOm

GigaOm’s Performance Benchmark praised self-service, ready-to-code computers. Compared to a physical device, “a fully automated Microsoft Dev Box deployment using Azure VM Image Builder and customizations for Microsoft Dev Box sharply reduces time on task.”

GigaOm says Microsoft Dev Box:

“Can cut the setup time for a new user from six or more hours of configuration work and potentially days of shipping lag to under an hour with all the tools, prerequisites, network access, and the latest source code available by default.”

That might be hundreds or thousands of hours spent by your engineers on code.

Project-based setups speed dev processes

Dev Box lets you go beyond IT’s settings. Instead, Microsoft Dev Box lets you and your team customize IT core components like network configurations, base images, compute and storage configurations, and configuration-as-code files to create pre-configurations with everything you need for your project.

Preconfigured, project-based dev boxes for GigaOm:

Deploying numerous Dev Boxes removes the need for developers to frequently change their workstations for various project setups or manage local virtual machines. With distinct Dev Boxes, developers can smoothly transition between these segregated environments to work on projects with different technical needs without resource conflicts or performance degradation.

GigaOm

The GigaOm analysis shows that project-based setups and developer self-service access are beneficial. According to the source, Microsoft Dev Box may be configured with 32 vCPU, 128 GB RAM, and 2 TB storage, “far exceeding the capabilities of nearly every laptop on the market.”

Even more importantly, Microsoft Dev Box lets you mix storage and computing choices with project setups. GigaOm says you may transfer ready-to-code configurations from smaller Dev Boxes to a new computer. This may let you iterate fast on a mission-critical update or hotfix.”

Microsoft Dev Box has 64% quicker software creation times than a median-spec physical device due to its configurable flexibility, as demonstrated in the graph:Image credit to Azure

Centralized security and management

Microsoft Dev Box provides these advantages without affecting admin procedures or centralized control. IT administrators configure Microsoft Dev Box by controlling permissions, access restrictions, and network connections. Because Microsoft Dev Box is controlled by Microsoft Intune, IT managers can see all deployed instances from one place.

Microsoft Dev Box security and management: GigaOm

Using Dev Box, administrators can fully monitor and secure the cloud-based developer workstations that developers install using Microsoft Intune.

GigaOm

This control is crucial, according to GigaOm:

Virtual desktops from [Microsoft Dev Box] allow enterprises to safeguard sensitive corporate data on external devices. Contractors and suppliers use a virtual desktop on the company’s network, keeping critical data safe. This centralized method tightens access control, monitoring, and administration, decreasing data breaches and illegal usage.

Today and tomorrow’s dev experience transformation

GigaOm says Microsoft Dev Box can “achieve massive improvements in developer productivity, innovation velocity, and reduction of logistics and physical device management.”

What is Microsoft Dev Box?

Developer-focused cloud-based workstations may boost output and satisfaction.

Built-to-support important developer use cases, cloud workstations

Developers may self-service access preconfigured, project-specific developer boxes using Microsoft Dev Box, an Azure service. To prevent configuration conflicts, connect as needed and collaborate across many development machines. Utilize Microsoft Intune to manage dev boxes with physical devices to optimize security, cost-effectiveness, and compliance.

Infrastructure for cloud-based virtual desktops that is linked with development processes and designed to increase developer productivity

Time spent onboarding developers is reduced from days to minutes by using project-based setups.

Wherever in the globe, dev team members may enjoy excellent realism thanks to region-specific dev boxes.

With Microsoft Intune, businesses can safeguard cloud workstations just as they would traditional workstations.

Change the way developers work at workstations

Develop more quickly and begin coding in minutes with cloud-based workstations geared for developers. With all the resources and tools needed for developers to work with while yet retaining IT control, Dev Box arrives preconfigured and ready to code. Adapt dev boxes to your development tools and processes. With dev boxes ready to install in the nearest Azure region, you and your team can enjoy a high-fidelity connection from anywhere in the globe.

Launch preconfigured, project-based development boxes

Launch a development box fast, preloaded with the tools and code repository for the work at hand. Choose from a collection of development box pools established by your group without the need for IT assistance or picture management. Run many project-based development boxes at once to collaborate and get rid of setup problems. To meet your most demanding requirements on any device, switch between high-compute and daily dev machines.

Optimize developer compliance and security

Granular policy management and governance per dev box may help maintain the security of developers, their workstations, and their workloads. Use Microsoft Intune to centrally manage development boxes in addition to physical devices. Configure individual access restrictions and permissions for each development box based on the project, with zero trust as the default. Workflows may be isolated to prevent orphaned source code while maintaining productivity.

Microsoft dev box pricing

Using your current, valid Windows or Microsoft 365 licenses, pay as you go. Install development boxes according to your developers’ requirements; the cost of a dev box is determined by how much computation and storage it uses.

The cost of a Microsoft Dev Box��is split into two parts:

1) Licenses for users:

Each user must have a license for Microsoft Endpoint Manager, Azure Active Directory P1, Windows 11 Enterprise, or Windows 10 Enterprise in order to utilize Microsoft Dev Box.

These licenses are included in subscriptions for Microsoft 365 F3, Microsoft 365 E3, Microsoft 365 E5, Microsoft 365 A3, Microsoft 365 A5, Microsoft 365 Business Premium, and Microsoft 365 Education Student Use Benefit in addition to being available separately.

Applications are designed, developed, and tested using Microsoft Dev Box.

2) Cost:

Microsoft Dev Box price covers all the costs associated with setting up development workstations in the cloud and offers both hourly and monthly pricing choices per dev box instance.

Read more on govindhtech.com

[iiar]

IIAR> Analyst Firm update: GigaOm

GigaOm is passionate about enabling vendors and partners to optimize how they work with clients and prospects, whilst empowering end-user organisations to make the best possible technology decisions based on their needs. Their practitioner-led model enables them to navigate the technical details and deployment realities faced by enterprises today, in this rapidly evolving market.  For vendors,…

[cyber-security-red-teaming]

GigaOm Radar for Attack Surface Management

[news-buzz]

Driving AI Transformation - Gigaom

As we head into 2025, CEOs are targeted on a transparent set of priorities—AI-enabled development, dynamic capability, danger administration, and human-machine integration. But, many CIOs are nonetheless too targeted on managing IT infrastructure and never getting into their rightful position as strategic advisors. To fulfill the wants of at the moment’s CEO, the CIO should rework from a…

[econsider]

Levantamento encomendado pela Commvault revela como investimentos proativos e atenção à recuperação cibernética podem economizar milhões em caso de violação 

São Paulo, setembro de 2024 – A Commvault, fornecedora líder de soluções de resiliência cibernética e proteção de dados para organizações de nuvem híbrida, divulgou novos insights críticos de seu Relatório de Prontidão para Recuperação Cibernética de 2024. Esta pesquisa global com 1.000 profissionais de segurança e TI em 11 países revela mudanças de comportamento para organizações que foram violadas em comparação com aquelas que não foram. 

A pesquisa da Commvault, feita em colaboração com a GigaOm, mostra que organizações que sofreram incidentes cibernéticos no passado não querem se prejudicar novamente. Decorrente disso, elas frequentemente reavaliam e investem em estratégias de resiliência cibernética e recuperação de maneiras muito significativas. 

De acordo com a pesquisa: 

Os investimentos em resiliência cibernética aumentam: organizações que foram violadas gastam quase

30% a mais em medidas de segurança cibernética do que aquelas que não foram. 

·                

Mais atenção é dada à compreensão dos perfis de risco de dados: organizações violadas têm quase 2,5 vezes mais probabilidade de priorizar a compreensão de seus perfis de risco de dados, que destacam os tipos de dados e os níveis relativos de risco. 

·                

Os testes de prontidão cibernética são priorizados: organizações violadas conduzem mais testes para encontrar lacunas em seus planos de preparação cibernética. Das organizações pesquisadas, 20% que não foram violadas não testam seu plano de recuperação, esse número cai para apenas 2% para organizações que foram violadas. 

O impacto desses investimentos adicionais e foco na resiliência cibernética é significativo. De acordo com a pesquisa, organizações violadas que investiram em planos abrangentes de recuperação cibernética se recuperam 41% mais rápido do que suas contrapartes menos preparadas. Em termos de tempos de recuperação específicos, organizações atacadas afirmam que têm 32% mais probabilidade de se recuperar em 48 horas em comparação com aquelas que não foram violadas — um resultado muito melhor do que os tempos de recuperação observados por outros entrevistados, que podem ser de três semanas ou mais. Esse tempo de inatividade reduzido pode se traduzir em economias significativas, tanto em termos de perdas financeiras diretas quanto na preservação da confiança do cliente e da reputação da marca. 

“Todos nós já ouvimos a expressão retrospectiva é 20/20, e isso não poderia ser mais aplicável quando se trata das descobertas desta pesquisa”, disse Brian Brockway, diretor de Tecnologia da Commvault. “Nossa pesquisa mostra que as organizações mais resilientes são aquelas que testam e refinam continuamente suas estratégias de recuperação, aprendendo com cada incidente para fortalecer suas defesas. É essa mentalidade proativa, em vez de gastos reativos, que faz a diferença”. 

Assim como o plano de saúde, em que o custo da cobertura geralmente supera as potenciais despesas de emergências médicas, a prontidão para recuperação cibernética serve a um propósito semelhante. O relatório ressalta que os custos de ser atacado — que variam de interrupção operacional a multas regulatórias — excedem em muito as despesas de medidas proativas de resiliência cibernética. 

"As descobertas devem ser um chamado à ação para todas as organizações, não apenas aquelas que foram violadas", disse Chris Ray, analista de segurança cibernética da GigaOm. "As ameaças cibernéticas estão em constante evolução e o mesmo deve acontecer com as estratégias para combatê-las. Trata-se de adotar uma abordagem holística para a resiliência cibernética que integre pessoas, processos e tecnologia, garantindo prontidão em todos os níveis”, conclui. 

Além dessas descobertas, a Commvault e a GigaOm conseguiram identificar cinco recursos principais, também chamados de marcadores de resiliência, que, quando implementados juntos, ajudam as empresas a se recuperarem mais rapidamente de ataques cibernéticos e a sofrer menos ataques em comparação com empresas que não seguiram o mesmo caminho. Esses cinco marcadores de resiliência surgiram depois que equipes de análise de dados vasculharam os mesmos resultados da pesquisa em uma série de tópicos, incluindo: com que frequência as empresas foram violadas, quais tecnologias de resiliência foram (ou não) implantadas e com que rapidez as empresas

conseguiram recuperar dados e retomar as operações normais. Leia mais sobre os

cinco marcadores de resiliência aqui. 

Metodologia 

A Commvault em conjunto com a GigaOm conduziu este estudo inaugural com 1.000 entrevistados em 11 países em abril de 2024 para entender melhor suas opiniões sobre prontidão cibernética e quão preparadas suas organizações estão diante de ameaças cibernéticas. Os entrevistados eram de empresas que ganhavam pelo menos US$ 10 milhões em receitas anuais, com a maioria ganhando US$ 500 milhões ou mais. Trinta e cinco por cento dos entrevistados eram executivos de nível de conselho ou C-Suite, 48% eram gerentes de nível sênior e os 17% restantes eram gerentes de nível médio ou júnior. Os 11 países incluídos na pesquisa são Austrália, Canadá, França, Alemanha, Itália, Japão, Holanda, Espanha, Suécia, Reino Unido e Estados Unidos. 

Sobre a Commvault 

A Commvault (NASDAQ: CVLT) é o padrão ouro em resiliência cibernética, ajudando mais de 100.000 organizações a manter os dados seguros e os negócios resilientes e avançando. Hoje, a Commvault oferece a única plataforma de resiliência cibernética que combina a melhor segurança de dados e recuperação rápida em escala empresarial em qualquer carga de trabalho, em qualquer lugar – com o TCO mais baixo. 

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Estela Silva – estela@capitalinformacao.com.br

Cláudia Müller - claudia@capitalinformacao.com.br

Capital Informação (11) 3926-9517 www.capitalinformacao.com.br  

[ericvanderburg]

Check Point Software Recognised as a Leader in GigaOm Radar Report for Security Policy as Code

http://securitytc.com/TD5qFt

[jcmarchi]

Rehan Jalil, CEO of Securiti – Interview Series

New Post has been published on https://thedigitalinsider.com/rehan-jalil-ceo-of-securiti-interview-series/

Rehan Jalil, CEO of Securiti – Interview Series

Rehan Jalil is the CEO of Securiti.AI, Venture Advisor at Mayfield Fund and an investor and mentor to many Silicon Valley startups. He was the SVP and GM for Cloud Security at Symantec.

Securiti AI is an enterprise-grade centralized platform that enables the safe use of data and AI – and the pioneer of the Data+AI Command Center.  Companies rely on Securiti for their data security, privacy, governance and compliance. Securiti has been recognized with numerous industry and analyst awards, and most recently was acknowledged by Gartner Peer Insights as Customers’ Choice for DSPM, and by GigaOm as the top-rated vendor for DSPM.

Can you elaborate on the vision behind Securiti AI’s Data Command Center and how it differentiates from other data management platforms in the market?

 Our vision with the Data Command Center is straightforward: we aim to empower organizations to fully leverage their data assets without compromising privacy, security or compliance. This is achieved by automatically scanning an organization’s data landscape (SaaS, IaaS, cloud data lakes and warehouses, etc.) and getting granular insights into all the sensitive information and AI systems. These insights, captured in a unique real-time knowledge graph, are used to enforce privacy and security controls and ensure compliance with global data regulations. This platform is particularly valuable in developing modern generative AI systems, which feed on data – especially unstructured data. Historically, organizations have relied on a series of fragmented tools to address their data obligations, which has been costly and complex. Securiti’s unified platform increases efficiency, reduces costs, mitigates risks and enables the safe use of data and AI.

What were the key challenges you faced while launching Securiti in 2019, and how did your experience at Symantec shape your approach?

 One of the challenges we faced launching Securiti was running into the Covid epidemic just six months after launching the company. In the early days of launching a company, gaining customers and early revenue is key. We had a lot of momentum, including early customer traction and winning the RSAC 2020 Most Innovative Startup. A week after we won the RSA accolade, the world shut down and we entered an uncertain economic climate. Through my experience with Symantec and previous companies, I was very familiar with working with the largest global organizations on their complex security needs. As a team, we have also been through economic downturns in the past. This experience gave us the confidence to stick to our strategy, continue to invest in solving real problems large enterprise organizations face, and patiently wait for the markets to return to a more normal state.

How does Securiti AI ensure the security of sensitive data across hybrid multicloud environments?

Securing sensitive data across complex hybrid multicloud environments demands a holistic approach. Securiti uses advanced technology to automatically discover and classify data across an organization’s entire data landscape, such as SaaS, IaaS, data lakes, warehouses, and on-premises systems including both structured and unstructured data. Securiti further enriches this information with deep contextual insights building a real-time knowledge graph, including whom the data belongs to, access entitlements, what regulations apply, where the data is located and more. This foundation is critical for automating precise controls to safeguard sensitive information and comply with relevant regulations. For example, the platform automates privacy obligations such as data mapping, data subject rights requests and assessments. It also addresses data security obligations such as data access intelligence and governance, data security posture management, data minimization and breach management. Of keen interest currently is governing unstructured data and the safe development of AI systems, including identifying shadow AI, ensuring sensitive data is not feeding AI models, cataloging and monitoring risks of AI systems, and enforcing controls with LLM firewalls to protect AI systems from misuse or abuse. Our Data Command Center provides unparalleled visibility and control enabling the safe use of data and AI.

With the increasing complexity of data privacy regulations, how does Securiti AI help organizations stay compliant and manage privacy obligations effectively?

 Navigating the complex web of data privacy regulations can be daunting. New legislation is coming at a rapid pace – like the EU AI Act, the White House AI Executive Order and California Bill 1047 hitting within a matter of months. Enterprises have new requirements to consider daily, while also adhering to frameworks such as NIST’s AI Risk Management and Singapore’s Model AI Governance. Securiti has a dedicated research team that stays abreast of all the latest regulations and builds this knowledge into our Data Command Center. This provides organizations with real-time context to highlight potential risks along with built-in templates to automate compliance with the latest regulations. Securiti’s Data Command Center automates many of the most time-consuming and complicated tasks associated with privacy compliance including data mapping, privacy impact assessments, data subject rights requests, cross-border transfers, breach management and consent management.

Can you discuss the role of AI in Securiti’s platform and how it enhances data security and governance?

 Securiti uses advanced techniques harnessing AI and ML to provide increased accuracy in data discovery and classification. These techniques significantly reduce false positives, and augment detection of sensitive content in challenging datasets like unstructured data, images and video. In addition to leveraging AI in the platform, Securiti’s Data Command Center is also critical to helping organizations govern and manage their AI ecosystems. Part of this includes securely processing large unstructured and structured datasets while making sure that sensitive or incorrect information is not fueling AI models. Additionally, there’s a huge call to safeguard privacy and data access entitlements and protect system-critical AI models from things like prompt injection and data exfiltration. Putting comprehensive controls and guardrails in place around AI systems enables organizations to embrace innovation safely.

How does Securiti’s LLM Firewall work, and what benefits does it offer in securing GenAI applications?

 Our context-aware LLM Firewall has become a key building block in our security stack. For a brief overview, the LLM firewall is equipped with advanced language processing capabilities, meaning it understands user prompts in multiple languages, analyzes multimedia content, and provides robust protection against a variety of threats like data leakage, prompt injections and harmful content. Securiti’s LLM Firewalls are unique, in that they are context aware – having real-time understanding of sensitive content and the context around data, such as access entitlements – providing continuous monitoring and protection based on real-time insights into the data landscape. Securiti’s firewalls are also unique in that they inspect three different points in the AI pipeline, including prompt firewall (between the user prompt and the LLM model, protecting against malicious attacks), the retrieval firewall (between the LLM model and the vector data base, monitoring what data is being fetched for the response) and the response firewall (between the LLM model and the user prompt, ensuring appropriate responses are being issued based on corporate policies). These provide comprehensive real-time controls to safeguard AI systems. All these interactions require real-time inspection to identify external attacks, malicious actors, and even user errors.

Can you provide examples of how global companies are leveraging Securiti’s Data Command Center to break silos and achieve unified data intelligence?

As an example, A Fortune 500 company we worked with had complex requirements across data privacy, data security and data governance. We engaged with key members of these teams at the highest levels, including their CPO, CDO and CISO. They complained about having dozens of fragmented tools in order to try and obtain the data governance they required – and these tools often had inconsistent views of their data. Stitching these systems together to meet their obligations on their data was also complex and costly. They were eager to harness our solution to get a “single source of truth” about their data landscape that could be used by the various teams, eliminating inconsistencies and streamlining operations between the groups (e.g., handling cross border transfers or data breaches, which require input from multiple teams). The unified platform improved operational efficiency, reduced complex integration costs and ensured all teams were working from the same set of data mitigating liability and risks.

Given your extensive background in security, what trends do you see emerging in data security and governance?

Organizations are struggling with a complex array of products to address their data security and governance requirements. One clear trend is the emergence of unified platforms that help reduce costs and complexity and facilitate inter-departmental coordination. Another trend is increased use of AI and automation within these solutions to help scale to address the explosion of data across hybrid multicloud and the complex array of data regulations. Legacy data discovery and DLP solutions are no longer meeting these needs. Finally, the biggest trend of all is the rapid growth in the use of AI, in particular generative AI. While everyone is familiar with consumer AI solutions, such as Chat GPT, the more compelling use case is enterprise AI solutions that can really drive innovation and competitive advantage. To successfully build enterprise grade AI systems, organizations will need comprehensive controls and data governance solutions to embed appropriate guardrails. Successful organizations will be driving hard to build innovative AI solutions, which in turn will create the need for new AI security and governance solutions.

How do you think organizations should prepare for the challenges and opportunities presented by the increasing use of AI in data management?

The explosion of AI is exciting, but businesses must prioritize responsible implementation to avoid AI becoming a financial or reputational liability.  By prioritizing trustworthy AI practices, companies – and their customers – can expect a high level of transparency, control risks, and reputational trust. This means taking control of your AI landscape, evaluating models for bias and security, continuous monitoring, and ensuring ethical data handling. AI should work for you, not against you.

How does Securiti AI integrate automation in managing data security and privacy, and what advantages does this automation bring to businesses in terms of efficiency and compliance?

Securiti AI is built on a foundation of automation, driving efficiency and reducing the risk of human error. By automating tasks like data discovery, classification, and compliance assessments, we free up security and privacy teams to focus on strategic initiatives. Our automation capabilities extend to incident response, threat detection, and remediation – so our customers can react swiftly to security incidents. Additionally, automation plays a crucial role in ensuring compliance with evolving regulations. By streamlining compliance processes, we help organizations reduce costs, minimize risks, and demonstrate their commitment to data protection.

Thank you for the great interview, readers who wish to learn more should visit Securiti AI.

[thedatagroupnewsservice]

ICYMI: Graylog Named a ‘Leader’ and ‘Fast Mover’ in GigaOm 2024 Radar Report for SIEM http://dlvr.it/TBK34G

[news2024news]

GigaOm Key Criteria for Evaluating Digital Experience Platforms (DXPs) http://dlvr.it/T8tLbV

[otiskeene]

Ivanti Named A Leader In 2024 GigaOm Radar Report For IT Asset Management

Ivanti, a really cool tech company that focuses on combining IT and security, just got recognized as a top leader in the 2024 GigaOm Radar for IT Asset Management (ITAM). This report helps businesses choose the best vendors for their needs. Ivanti was evaluated along with 17 other ITAM solutions, and they came out on top!

Ivanti's recognition in the Innovation/Feature Play quadrant of the Radar is because they have some awesome features and plans for the future. They've been using AI in their solutions for the past three years, which is super futuristic. They also have big plans to make ITAM more sustainable. Ivanti has been growing by acquiring other companies and making everything work together smoothly. This might mean they'll become a Platform Play in the future.

Ivanti Neurons for ITAM is a really cool solution that helps people manage their IT assets from start to finish. It does lots of things like keeping track of costs, managing contracts, and making sure everything follows the rules. It's really flexible too, so you can customize it to fit your needs or use the pre-made processes. It's easy to use and fits right into your existing IT setup.

Dr. Srinivas Mukkamala, who is the big boss of Ivanti's products, is super excited about the recognition. He says that ITAM is really important for a safe and efficient digital workplace. It helps businesses get the most out of their IT stuff while following the rules and avoiding risks. Ivanti is always working on new ideas and making their solutions even better for their customers. They want to help their customers succeed in a big way!

Read More - https://www.techdogs.com/tech-news/business-wire/ivanti-named-a-leader-in-2024-gigaom-radar-report-for-it-asset-management

[govindhtech]

Azure Ultra Disks Latest Updates In Azure Disk Storage

Azure is thrilled to present the most recent developments in Ultra disks and Premium SSD v2 (Pv2), the upcoming generation of Azure disc storage. For Pv2 and Ultra discs, they have improved backup and disaster recovery capabilities to make it easier for you to safeguard your workloads. Azure has also enhanced the security protocols for Virtual Machines (VMs) using Pv2 and Ultra.

For scenarios ranging from input/output (IO)-intensive workloads like SAP High-performance Analytic Appliance (SAP HANA) to general purpose applications across Relational Database Management System (RDBMS), SQL, and NoSQL databases, Pv2 and Ultra discs offer high throughput, high input/output operations per second (IOPS), and low latency. According to a 2023 GigaOm research, Pv2 offers an unmatched price-performance gain of 23% over the rival cloud, while Ultra offers optimal performance with low latency of less than one microsecond.

Azure managed disk types

There are now five disc types available with Azure managed disks, each designed to cater to a particular customer scenario:

Ultra Disks

Premium SSD v2

Premium SSDs (solid-state drives)

Standard SSDs

Standard HDDs (hard disk drives)

Comparison of disk types

Azure Ultra Disks

The best storage solution for Azure virtual machines (VMs) is Azure Ultra Disks. It’s performance settings can be altered without requiring a VM restart. Top-tier databases, transaction-heavy workloads, and data-intensive workloads like SAP HANA are good fits for Ultra Disks.

It can only be generated as empty disks and must be utilised as data disks. Premium solid-state drives (SSDs) are the best choice for operating system (OS) disks.

Incredibly large disk size

By default, it support up to 100 TiB per region per subscription; however, larger capacities can be requested. You can ask Azure Support for assistance, seek a quota increase, or request an increase in capacity.

Superb Disk efficiency

The low sub-millisecond latencies, provided IOPS, and throughput that these are meant to deliver are guaranteed to occur 99.99% of the time. Additionally, it provide a flexible performance configuration approach that lets you set up throughput and IOPS separately, both before and after the disk is provisioned. It’s performance can be changed four times in a 24-hour period. These are available in multiple fixed capacities, spanning from 4 GiB to 64 TiB.

Azure Ultra disk IOPS

IOPS limitations of 300 IOPS/GiB are supported by Ultra Disks, with a maximum of 400,000 IOPS per disk. Make sure the chosen disk’s IOPS is lower than the virtual machine’s IOPS limit in order to reach the disk’s target IOPS. Higher IOPS Ultra Disks can be shared to accommodate more virtual machines (VMs).

A baseline minimum of 100 IOPS is guaranteed overall, with a minimum of 1 IOPS/GiB guaranteed for each disk. For instance, the minimum IOPS for a 4-GiB Ultra Disk that you provisioned is 100, not 4.

High-speed disk throughput

A single Ultra Disk can only handle 256 kB/s of throughput per supplied IOPS, with a maximum of 10,000 MB/s per disk (MB/s = 10^6 Bytes per second). With a baseline minimum of 1 MB/s overall, the minimum assured throughput per disk is 4kB/s for each supplied IOPS.

Without removing the disk from the virtual system, Ultra Disk IOPS and throughput performance can be changed at runtime. It may take up to an hour for a disk’s performance resizing procedure to take effect once it is issued. Within a 24-hour period, up to four performance resize procedures are allowed.

Insufficient performance bandwidth capacity may cause a performance resize operation to fail.

Limitations of Ultra Disk

The limitations of Ultra Disk are listed below:

An OS disk cannot be utilised with this disk.

Azure Compute Gallery cannot be utilised with Ultra Disks.

The only infrastructure options that Ultra Disks now support are Single VM and Availability zone.

Availability sets are not supported by Ultra Disks.

An Ultra Disk cannot be made larger without removing the Ultra Disk or deallocating the virtual machine.

At this time, existing disks are unable to transform into Ultra Disks. They have to be moved.

Customer-managed keys for Ultra disks are not supported at this time by Azure Government or Azure China.

VMs using Ultra Disks are not supported for Azure Disk Encryption. Rather, you ought to utilise platform-managed or customer-managed encryption at rest with keys.

VMs using Ultra Disks are not supported for Azure Site Recovery.

Disk caching is not supported by Ultra Disks.

There are further restrictions on the use of snapshots.

For virtual machines using Ultra Disks, Azure Backup support is typically available. When using this disk, Azure Backup has restrictions.

In addition to supporting 512E sector sizes, Ultra Discs come with a 4k physical sector size by default. While the majority of applications can run with 4k sector sizes, some need 512-byte sector sizes. For instance, release 12.2 or later of Oracle Database is needed to support 4k native disks. A 512-byte sector size is necessary for Oracle Database versions prior to that.

Ultra Disk pricing

Microsoft Azure’s high-performance, low-latency Ultra Disc Storage is designed for IO-intensive workloads. Pricing for Azure Ultra Disc Storage depends on numerous factors:

Cost: Ultra Discs vary in size and cost more. From 4 GiB to 64 TiB.

Your disk’s provisioned IOPS cost you. Ultra Discs can handle 160,000 IOPS each.

It can provide MB/s throughput. Up to 4,000 MB/s per disc is possible.

Area: Azure disK pricing varies by area.

Use the Azure Pricing Calculator or Azure Ultra Disk Storage pricing page for precise pricing.

As of Latest Update: Example Pricing

Disk Size: Per GiB per month prices may be set. Example: $0.000122/GiB/hour.

A charge per provided IOPS may exist. One IOPS per hour costs $0.000073.

Provisioned Throughput: $0.000024 per MB/s/hour.

Pricing Calculation Example

For a 1 TiB Ultra DisK with 20,000 IOPS and 500 MB/s throughput in a specific region, compute the monthly cost:

Disk Size Cost:

1 TiB = 1024 GiB

Cost per GiB: $0.000122 per hour

Monthly cost = 1024 GiB * $0.000122/hour * 730 hours (average month)

= $91.09

Provisioned IOPS Cost:

20,000 IOPS * $0.000073 per IOPS per hour * 730 hours

= $1,066

Provisioned Throughput Cost:

500 MB/s * $0.000024 per MB/s per hour * 730 hours

= $8.76

Total Monthly Cost:

Disk Size: $91.09

IOPS: $1,066

Throughput: $8.76

Total = $1,165.85

The area, service agreements, and discounts or promotions may affect these rates. Azure’s official resources always have the newest prices.

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