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Uneven Adoption of Emerging Tech Found in a New Cloud Security Alliance Survey

Cloud Security Alliance | February 07, 2022

Cloud Security Alliance (CSA), the world's largest organization dedicated to creating standards, certifications, and best practices that ensure a secure cloud computing environment, revealed the results of its most recent poll, Cloud Security and Technology Maturity, today. The poll, which was commissioned by CyberRes, a microfocus line of business and one of the world's top corporate software vendors, provides insight into enterprises' current and future intentions for cloud strategy, security, cloud services, and cloud-related technology.

"Cloud is a continuously evolving space with new services, strategies, and technologies springing up seemingly overnight. It's imperative, therefore, that organizations regularly change and adapt their approach to cloud and cloud security. While many of the survey's findings were in line with what we would expect, it was surprising that some technologies that have garnered the most hype are not, in fact, what organizations are planning to implement,"


Hillary Baron, lead author, and research analyst, Cloud Security Alliance

Despite introducing the General Data Protection Regulation (GDPR) in 2018, privacy-by-design is still in its early stage of development. With two-thirds of organizations (65%) either developing or planning to develop strategies, only 8% of respondents indicated that they have a fully implemented privacy-by-design strategy. Similarly, the survey also found that while blockchain and distributed ledger technology have been hyped for years, implementation rates have stagnated, owing to high failure rates caused by a lack of technical understanding combined with a high demand for resources.

Quantum-safe security and 5G aren't widely used yet, and additional research is required to determine the root causes and forecast a more reliable adoption timeframe.

"The growing popularity of artificial intelligence, machine learning, and Zero Trust, for instance, was definitely in keeping with what we have been hearing anecdotally across the industry, but there were also some surprises in what companies aren't using. While multi-cloud adoption is strongly favored, many organizations are facing challenges in taking deployments to a next level," said Satya Divadari, Head of Enterprise Security Architecture, CyberRes, a Micro Focus line of business.

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SADA Partners with Google Cloud to Build and Deploy New, Generative-AI Powered Features

Businesswire | May 25, 2023

SADA, a leading business and technology consultancy and award-winning Google Cloud Partner, announced a new collaboration with Google Cloud to accelerate the deployment of generative AI solutions across its joint customer base. With this alliance, SADA will bolster its generative AI capabilities, help its global customer base accelerate their AI journey, and create new AI-powered features and experiences. SADA has seen a growing demand for its recently launched ‘Generative AI discovery workshop’ that is tailored to help organizations reimagine their operating model, embrace automation, boost productivity, and create new revenue streams. The quick assessment serves two main customer categories: Evaluators - helping customers understand Google Cloud’s generative AI solution portfolio and where it fits best, validating specific use cases, and sharing best practices on the integration strategy that centers around ensuring an effective and safe adoption. Accelerators - leading solutions and architecture design for specific use case(s), integrating generative AI tools into a customer’s internal and/or external systems, and accelerating the deployment of Vertex AI and other foundational models. SADA’s technical team of cloud experts believes the most desired use cases for AI are spread across five capabilities: 1) searching and summarizing complex content, 2) creating new content, 3) having automated human-like conversations, 4) recommending personalized products, and 5) automating business processes and decision-making. SADA is also expanding its portfolio of point solutions, developing them internally as well as in strategic collaboration with some of its ISV partners and customers. “The possibilities of leveraging Google Cloud’s generative AI are extremely exciting, and these tools will unlock quick and meaningful value for businesses. The key to success in the space is, and will continue to be, implementing generative AI tools thoughtfully while understanding how and where to mitigate risk in order to drive long-term, successful outcomes,” said Miles Ward, Chief Technology Officer for SADA. “Our new alliance will enable SADA’s team of experts to help businesses go to market with Generative AI features at greater scale and speed.” “Generative AI has the potential to transform many of our most common processes at work and to unlock entirely new opportunities and value for businesses,” said Bron Hastings, VP, ISV Ecosystem & Channels at Google Cloud. “Partners like SADA will play a critical role helping customers understand the business case for generative AI and implementing Google Cloud generative AI quickly, responsibly, and at scale - so it’s exciting to see SADA further deepening its AI expertise and offerings for businesses.” ABOUT SADA SADA is a market leader in professional services and an award-winning solutions provider of Google Cloud. Since 2000, SADA has been committed to helping customers in healthcare, media, entertainment, retail, manufacturing, and the public sector solve their most complex challenges so they can focus on achieving their boldest ambitions. With offices in North America, India, and Armenia providing sales and customer support globally, SADA is positioned to meet customers where they are in their digital transformation journey. SADA is a 5x Google Cloud Partner of the Year award winner with 10 Google Cloud Specializations and a proven track record of offering customers best-in-class service. SADA is a 15x honoree of the Inc. 5000 list of America’s Fastest-Growing Private Companies and has been named to Inc. Magazine’s Best Workplaces four years in a row.

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CloudMile Achieves Google Cloud Specialization for Work Transformation - Enterprise

Prnewswire | May 11, 2023

CloudMile, a leading cloud, data analytics and artificial intelligence (AI) company in Asia, is excited to announce that it has achieved the Google Cloud Specialization title in the Work Transformation Enterprise category. This accreditation is a recognition of CloudMile's recent achievements, particularly its work with a large GLC (government-linked company) customer in Malaysia, and highlights CloudMile's expertise in delivering exceptional cloud solutions to enterprise clients. The specialization badge indicates a deep level of commitment and an unrivaled set of skills to the market. This new specialization complements the specialization awards that CloudMile has already achieved for Machine Learning, Data Analytics, Cloud Migration, and Infrastructure. With these specializations, CloudMile is well-positioned to provide end-to-end cloud solutions for enterprise customers across Asia, delivering exceptional value and service for businesses to embark on their digital transformation journey. Google Cloud Specialization: Demonstrating Expertise and Capabilities in Cloud Solutions CloudMile's achievement of the Work Transformation – Enterprise specialization is an evidence to the company's expertise and capabilities on Google Cloud solutions. This accreditation highlights CloudMile's commitment to providing high-value services to its customers and reinforces its position as a leading cloud, data analytics, and AI company in Asia. CloudMile's robust framework helps organizations migrate, deploy, and adopt changes within the Google Workspace ecosystem seamlessly. This expertise and success in work transformation and migration enable CloudMile to continue providing best-in-class service and professional technical support to its customers, unlocking the full potential of the cloud for organizations across Asia. Migrating 9,000 Users and 52 Legacy Applications for a Large GLC in Malaysia CloudMile played a critical role in helping a large GLC customer in Malaysia migrate its platform to Google Workspace in six months. With CloudMile's expertise, the large GLC in Malaysia was able to migrate approximately 9,000 seats to Google Workspace, including 52 legacy applications. The seamless transition to a cloud-based solution enabled this client to achieve its goals of employee flexibility and enhanced collaboration. CloudMile and Google Cloud's ongoing partnership includes providing managed services for Google Workspace and Google Cloud Platform. This ensures that the organization remains at the forefront of technological innovation, with access to the latest cloud solutions and professional support. About CloudMile CloudMile, a leading AI and cloud technology company in Asia, focuses on digital transformation for its corporate clients and driving growth. Leveraging machine learning and big data analysis, CloudMile assists over 700 client corporations with business forecasts and industrial upgrades. CloudMile has earned 130+ accreditations, with 60+ Google Cloud professional certifications. As a Premier Partner of Google Cloud, CloudMile is qualified for Machine Learning Specialization, Data Analytics Specialization, Cloud Migration Specialization and Infrastructure Specialization in North Asia. The company has become Google Cloud Managed Service Provider (MSP) covering Taiwan, Hong Kong and Singapore as well as the Public Sector Partner of the Year for APAC Region 2020 and was named 2022 Google Cloud Partner All-star in Sales. For more information, visit https://www.mile.cloud/ or follow CloudMile on LinkedIn, at CloudMile Inc.

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Grafana Labs Announces New Tools for Metrics Cost Management in Grafana Cloud

Businesswire | May 10, 2023

Grafana Labs, the company behind the world’s most ubiquitous open and composable operational dashboards, today announced updates to its fully managed Grafana Cloud observability platform: The powerful new Adaptive Metrics feature, which enables teams to aggregate unused and partially used time series data to lower costs, is now available for broader public access. This feature leverages enhanced insights into metrics usage recently added to Grafana Cloud's Cardinality Management dashboards, which are now available in all Grafana Cloud tiers, both free and paid. Together these advancements, powered by the open source project Grafana Mimir, help organizations rapidly scale at cloud native pace while optimizing metric cardinality and controlling costs. With the increasing usage of cloud native architectures and rapid adoption of Prometheus and Kubernetes, observability teams are faced with an explosion of metric data. Prometheus cardinality can often lead to surges in metric costs. Teams are looking for solutions that help them scale out metrics adoption within their company without massively growing their spend. To help solve this problem, Grafana Cloud now offers: Cardinality Management dashboards for identifying unused metrics Grafana Cloud’s Cardinality Management dashboards now include insights into the usage of high cardinality metrics, to help distinguish between metrics that are being used and metrics that are unused. The ability to identify high cardinality metrics that are unused in dashboards, queries, recording rules, and alerting rules results in actionable outcomes for SRE or centralized observability teams looking to confidently make data-driven decisions to reduce metrics spend without impacting observability. The Cardinality Management dashboards were first introduced late last year to Grafana Cloud Pro and Advanced customers, but now are generally available to all Grafana Cloud users, including those on the Grafana Cloud Free tier. Adaptive Metrics for turning usage insights into cost savings Grafana Cloud's Adaptive Metrics feature takes insights about usage from the Cardinality Management dashboards one step further: It gives users better control of spend on observability metrics by enabling aggregation of unused or partially used metrics. (With partially used metrics, only a subset of the metric’s labels are used.) The Adaptive Metrics aggregation engine transforms these metrics into lower cardinality versions of themselves at ingestion. Unused or partially used labels are stripped from incoming metrics, reducing the total count of time series persisted – and thus the user’s monthly bill. Adaptive Metrics recommends aggregations based on an organization's historic usage patterns, and users can choose which aggregation rules to apply. Dashboards, alerts, and historic queries are guaranteed to continue to work as they did before aggregation, with no rewrites needed. If usage needs change, users can immediately revert back to the unaggregated version of a metric and get the extra detail they need going forward. Based on results reported by early users, Grafana Cloud Adaptive Metrics can eliminate an estimated 20-50% of an organization’s time series with no perceived impact on their ability to observe their systems. "We carefully watch our metric and cost consumption, and in the past we manually evaluated every metric to identify what to drop, which was extremely time consuming and a tedious process. Grafana Cloud Adaptive Metrics simplified this process for us by generating recommendations curated for our environment, reducing the amount of time spent by half. I wish I had this feature sooner," said Lydia Clarke, DevOps Engineer at SailPoint. Grafana Cloud Adaptive Metrics is now available in a public access program for all Grafana Cloud tiers. Sign up for access here. "While we've seen the value that Prometheus brings to organizations, we've also seen its popularity lead to rapid adoption and uncontrolled costs," said Tom Wilkie, CTO at Grafana Labs. "In fact, we even had this problem at Grafana Labs, running our own Prometheus monitoring for Grafana Cloud. One of our clusters had grown to over 100 million active series, and 50% of them were unused. We started thinking about how we could solve this problem, and Adaptive Metrics was the answer. We've reduced that cluster by 40%, and we're excited to share this powerful capability with our Grafana Cloud users.” About Grafana Labs Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are more than 3,000 Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and more than 1M active instances of Grafana around the world. Grafana Labs helps companies manage their observability strategies with the LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise offerings, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security. Grafana Labs is backed by leading investorsLightspeed Venture Partners, Lead Edge Capital, GIC, Sequoia Capital, Coatue, and J.P. Morgan. Follow Grafana Labs on LinkedIn and Twitter or visit grafana.com.

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SADA Partners with Google Cloud to Build and Deploy New, Generative-AI Powered Features

Businesswire | May 25, 2023

SADA, a leading business and technology consultancy and award-winning Google Cloud Partner, announced a new collaboration with Google Cloud to accelerate the deployment of generative AI solutions across its joint customer base. With this alliance, SADA will bolster its generative AI capabilities, help its global customer base accelerate their AI journey, and create new AI-powered features and experiences. SADA has seen a growing demand for its recently launched ‘Generative AI discovery workshop’ that is tailored to help organizations reimagine their operating model, embrace automation, boost productivity, and create new revenue streams. The quick assessment serves two main customer categories: Evaluators - helping customers understand Google Cloud’s generative AI solution portfolio and where it fits best, validating specific use cases, and sharing best practices on the integration strategy that centers around ensuring an effective and safe adoption. Accelerators - leading solutions and architecture design for specific use case(s), integrating generative AI tools into a customer’s internal and/or external systems, and accelerating the deployment of Vertex AI and other foundational models. SADA’s technical team of cloud experts believes the most desired use cases for AI are spread across five capabilities: 1) searching and summarizing complex content, 2) creating new content, 3) having automated human-like conversations, 4) recommending personalized products, and 5) automating business processes and decision-making. SADA is also expanding its portfolio of point solutions, developing them internally as well as in strategic collaboration with some of its ISV partners and customers. “The possibilities of leveraging Google Cloud’s generative AI are extremely exciting, and these tools will unlock quick and meaningful value for businesses. The key to success in the space is, and will continue to be, implementing generative AI tools thoughtfully while understanding how and where to mitigate risk in order to drive long-term, successful outcomes,” said Miles Ward, Chief Technology Officer for SADA. “Our new alliance will enable SADA’s team of experts to help businesses go to market with Generative AI features at greater scale and speed.” “Generative AI has the potential to transform many of our most common processes at work and to unlock entirely new opportunities and value for businesses,” said Bron Hastings, VP, ISV Ecosystem & Channels at Google Cloud. “Partners like SADA will play a critical role helping customers understand the business case for generative AI and implementing Google Cloud generative AI quickly, responsibly, and at scale - so it’s exciting to see SADA further deepening its AI expertise and offerings for businesses.” ABOUT SADA SADA is a market leader in professional services and an award-winning solutions provider of Google Cloud. Since 2000, SADA has been committed to helping customers in healthcare, media, entertainment, retail, manufacturing, and the public sector solve their most complex challenges so they can focus on achieving their boldest ambitions. With offices in North America, India, and Armenia providing sales and customer support globally, SADA is positioned to meet customers where they are in their digital transformation journey. SADA is a 5x Google Cloud Partner of the Year award winner with 10 Google Cloud Specializations and a proven track record of offering customers best-in-class service. SADA is a 15x honoree of the Inc. 5000 list of America’s Fastest-Growing Private Companies and has been named to Inc. Magazine’s Best Workplaces four years in a row.

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CloudMile Achieves Google Cloud Specialization for Work Transformation - Enterprise

Prnewswire | May 11, 2023

CloudMile, a leading cloud, data analytics and artificial intelligence (AI) company in Asia, is excited to announce that it has achieved the Google Cloud Specialization title in the Work Transformation Enterprise category. This accreditation is a recognition of CloudMile's recent achievements, particularly its work with a large GLC (government-linked company) customer in Malaysia, and highlights CloudMile's expertise in delivering exceptional cloud solutions to enterprise clients. The specialization badge indicates a deep level of commitment and an unrivaled set of skills to the market. This new specialization complements the specialization awards that CloudMile has already achieved for Machine Learning, Data Analytics, Cloud Migration, and Infrastructure. With these specializations, CloudMile is well-positioned to provide end-to-end cloud solutions for enterprise customers across Asia, delivering exceptional value and service for businesses to embark on their digital transformation journey. Google Cloud Specialization: Demonstrating Expertise and Capabilities in Cloud Solutions CloudMile's achievement of the Work Transformation – Enterprise specialization is an evidence to the company's expertise and capabilities on Google Cloud solutions. This accreditation highlights CloudMile's commitment to providing high-value services to its customers and reinforces its position as a leading cloud, data analytics, and AI company in Asia. CloudMile's robust framework helps organizations migrate, deploy, and adopt changes within the Google Workspace ecosystem seamlessly. This expertise and success in work transformation and migration enable CloudMile to continue providing best-in-class service and professional technical support to its customers, unlocking the full potential of the cloud for organizations across Asia. Migrating 9,000 Users and 52 Legacy Applications for a Large GLC in Malaysia CloudMile played a critical role in helping a large GLC customer in Malaysia migrate its platform to Google Workspace in six months. With CloudMile's expertise, the large GLC in Malaysia was able to migrate approximately 9,000 seats to Google Workspace, including 52 legacy applications. The seamless transition to a cloud-based solution enabled this client to achieve its goals of employee flexibility and enhanced collaboration. CloudMile and Google Cloud's ongoing partnership includes providing managed services for Google Workspace and Google Cloud Platform. This ensures that the organization remains at the forefront of technological innovation, with access to the latest cloud solutions and professional support. About CloudMile CloudMile, a leading AI and cloud technology company in Asia, focuses on digital transformation for its corporate clients and driving growth. Leveraging machine learning and big data analysis, CloudMile assists over 700 client corporations with business forecasts and industrial upgrades. CloudMile has earned 130+ accreditations, with 60+ Google Cloud professional certifications. As a Premier Partner of Google Cloud, CloudMile is qualified for Machine Learning Specialization, Data Analytics Specialization, Cloud Migration Specialization and Infrastructure Specialization in North Asia. The company has become Google Cloud Managed Service Provider (MSP) covering Taiwan, Hong Kong and Singapore as well as the Public Sector Partner of the Year for APAC Region 2020 and was named 2022 Google Cloud Partner All-star in Sales. For more information, visit https://www.mile.cloud/ or follow CloudMile on LinkedIn, at CloudMile Inc.

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Grafana Labs Announces New Tools for Metrics Cost Management in Grafana Cloud

Businesswire | May 10, 2023

Grafana Labs, the company behind the world’s most ubiquitous open and composable operational dashboards, today announced updates to its fully managed Grafana Cloud observability platform: The powerful new Adaptive Metrics feature, which enables teams to aggregate unused and partially used time series data to lower costs, is now available for broader public access. This feature leverages enhanced insights into metrics usage recently added to Grafana Cloud's Cardinality Management dashboards, which are now available in all Grafana Cloud tiers, both free and paid. Together these advancements, powered by the open source project Grafana Mimir, help organizations rapidly scale at cloud native pace while optimizing metric cardinality and controlling costs. With the increasing usage of cloud native architectures and rapid adoption of Prometheus and Kubernetes, observability teams are faced with an explosion of metric data. Prometheus cardinality can often lead to surges in metric costs. Teams are looking for solutions that help them scale out metrics adoption within their company without massively growing their spend. To help solve this problem, Grafana Cloud now offers: Cardinality Management dashboards for identifying unused metrics Grafana Cloud’s Cardinality Management dashboards now include insights into the usage of high cardinality metrics, to help distinguish between metrics that are being used and metrics that are unused. The ability to identify high cardinality metrics that are unused in dashboards, queries, recording rules, and alerting rules results in actionable outcomes for SRE or centralized observability teams looking to confidently make data-driven decisions to reduce metrics spend without impacting observability. The Cardinality Management dashboards were first introduced late last year to Grafana Cloud Pro and Advanced customers, but now are generally available to all Grafana Cloud users, including those on the Grafana Cloud Free tier. Adaptive Metrics for turning usage insights into cost savings Grafana Cloud's Adaptive Metrics feature takes insights about usage from the Cardinality Management dashboards one step further: It gives users better control of spend on observability metrics by enabling aggregation of unused or partially used metrics. (With partially used metrics, only a subset of the metric’s labels are used.) The Adaptive Metrics aggregation engine transforms these metrics into lower cardinality versions of themselves at ingestion. Unused or partially used labels are stripped from incoming metrics, reducing the total count of time series persisted – and thus the user’s monthly bill. Adaptive Metrics recommends aggregations based on an organization's historic usage patterns, and users can choose which aggregation rules to apply. Dashboards, alerts, and historic queries are guaranteed to continue to work as they did before aggregation, with no rewrites needed. If usage needs change, users can immediately revert back to the unaggregated version of a metric and get the extra detail they need going forward. Based on results reported by early users, Grafana Cloud Adaptive Metrics can eliminate an estimated 20-50% of an organization’s time series with no perceived impact on their ability to observe their systems. "We carefully watch our metric and cost consumption, and in the past we manually evaluated every metric to identify what to drop, which was extremely time consuming and a tedious process. Grafana Cloud Adaptive Metrics simplified this process for us by generating recommendations curated for our environment, reducing the amount of time spent by half. I wish I had this feature sooner," said Lydia Clarke, DevOps Engineer at SailPoint. Grafana Cloud Adaptive Metrics is now available in a public access program for all Grafana Cloud tiers. Sign up for access here. "While we've seen the value that Prometheus brings to organizations, we've also seen its popularity lead to rapid adoption and uncontrolled costs," said Tom Wilkie, CTO at Grafana Labs. "In fact, we even had this problem at Grafana Labs, running our own Prometheus monitoring for Grafana Cloud. One of our clusters had grown to over 100 million active series, and 50% of them were unused. We started thinking about how we could solve this problem, and Adaptive Metrics was the answer. We've reduced that cluster by 40%, and we're excited to share this powerful capability with our Grafana Cloud users.” About Grafana Labs Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are more than 3,000 Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and more than 1M active instances of Grafana around the world. Grafana Labs helps companies manage their observability strategies with the LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise offerings, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security. Grafana Labs is backed by leading investorsLightspeed Venture Partners, Lead Edge Capital, GIC, Sequoia Capital, Coatue, and J.P. Morgan. Follow Grafana Labs on LinkedIn and Twitter or visit grafana.com.

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