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Copado Robotic Testing Debuts in AWS Marketplace, Enabling AI-powered, Salesforce-native Test Automation at Scale
Copado Robotic Testing Debuts in AWS Marketplace, Enabling AI-powered, Salesforce-native Test Automation at Scale

Yahoo

time12 hours ago

  • Business
  • Yahoo

Copado Robotic Testing Debuts in AWS Marketplace, Enabling AI-powered, Salesforce-native Test Automation at Scale

CHICAGO, June 2, 2025 /PRNewswire/ -- Copado, the leader in AI-powered DevOps for business applications, today announced that Copado Robotic Testing is available in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). Copado Robotic Testing delivers AI-powered, Salesforce-native test automation at scale, helping teams reduce defects, increase test coverage, and release faster. As digital transformation accelerates across industries, DevOps and QA teams are under immense pressure to deliver faster releases without compromising quality. Traditional testing tools can't keep up with the complexity of Salesforce and multi-cloud environments. Copado enables enterprises to access AI-powered intelligent, scalable testing capabilities built specifically for Salesforce. Now offered via AWS Marketplace, customers can directly purchase and deploy Copado Robotic Testing through their existing AWS agreements, simplifying enterprise procurement processes. "Making Copado Robotic Testing available in AWS Marketplace gives our customers a faster, easier path to AI-powered test automation at scale," said Gloria Ramchandani, Senior Vice President of Product at Copado. "AWS customers can now seamlessly procure and deploy Salesforce-native test automation through their trusted cloud platform. Users can dramatically reduce manual testing efforts, improve coverage, and accelerate their release cycles – all with the simplified procurement and consolidated billing that AWS Marketplace provides." Key benefits of Copado Robotic Testing in AWS Marketplace: Faster time-to-value: AWS-native deployment enables immediate setup without complex infrastructure requirements. Improved quality: AI-powered automation reduces manual testing effort and increases coverage. Seamless scalability and security: Cloud-native architecture enables immediate test automation at scale while maintaining security and quality standards. Streamlined procurement: AWS Marketplace simplifies contracting and billing with trusted processes. With a decade of experience helping the world's largest enterprises accelerate digital transformation, Copado provides an AI-powered DevOps platform that delivers high-quality, secure, and compliant releases across all Salesforce clouds. Now available in AWS Marketplace, Copado Robotic Testing empowers AWS customers to deploy test automation at scale with the speed, flexibility, and security of the AWS Cloud. Follow Copado:LinkedIn: About CopadoCopado is the leader in AI-powered DevOps for business applications. Backed by Insight Partners, Softbank, IBM, Capgemini and Salesforce Ventures, Copado revolutionizes development workflows by leveraging advanced AI capabilities to build end-to-end digital transformation for more than 1,750 global brands including Coca-Cola, Medtronic, T-Mobile and Volkswagen. Copado is proven to drive 20X more frequent releases, 95% less downtime, 10X faster testing and 20% greater productivity. More information can be found at: View original content to download multimedia: SOURCE Copado Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning
Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning

Yahoo

time3 days ago

  • Business
  • Yahoo

Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning

SAN FRANCISCO, May 30, 2025 (GLOBE NEWSWIRE) -- Yuki, the leader in automated cost optimization for Snowflake, has released its first flagship gated asset: The Ultimate Guide to Snowflake Optimization (2025 Edition), a hands-on playbook for data teams, FinOps leaders, and platform owners navigating the growing complexity (and cost) of large-scale Snowflake environments. The guide breaks down the root causes of Snowflake overspend from idle warehouses and ingestion traps to runaway cloud services charges and shares actionable strategies that have helped leading teams cut compute costs by 30–60% without sacrificing performance. 'Snowflake transformed the data stack but cost control hasn't kept up,' said Ido Arieli Noga, Co-Founder and CEO of Yuki. 'Too many teams are drowning in dashboards, tuning settings by hand, or relying on visibility tools that don't actually optimize anything. This guide is about taking back control and showing how real automation changes the game.' Key Takeaways from the Guide: Why traditional FinOps is broken and why dashboards aren't enough. 6+ Snowflake join optimization techniques to slash query costs. How hidden services like ingestion and metadata lookups quietly drain budgets. Real-world cost benchmarks (e.g. $11,500/month for a single 2XL warehouse) and how to prevent them. The ROI of replacing manual tuning with real-time automation from tools like Yuki. Built for Data Teams at Scale This new guide comes on the heels of Yuki's launch in the AWS Marketplace and reflects the company's continued push to make enterprise-grade cost control accessible, fast, and fully automated. Trusted by large data teams, Yuki delivers dynamic warehouse optimization, plug-and-play integration, and immediate ROI, without code changes or performance tradeoffs. Download the guide: Snowflake Cost Optimization Guide Get a free Snowflake efficiency assessment About YukiYuki is the real-time optimization platform for Snowflake. We eliminate compute waste, maximize performance, and keep your data platform lean, without the dashboards, manual tuning, or operational overhead. One connection string, zero manual effort, 30%+ savings. Learn more at ContactPerry TapieroPublic Relationspr@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning
Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning

Business Upturn

time3 days ago

  • Business
  • Business Upturn

Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning

SAN FRANCISCO, May 30, 2025 (GLOBE NEWSWIRE) — Yuki, the leader in automated cost optimization for Snowflake, has released its first flagship gated asset: The Ultimate Guide to Snowflake Optimization (2025 Edition) , a hands-on playbook for data teams, FinOps leaders, and platform owners navigating the growing complexity (and cost) of large-scale Snowflake environments. The guide breaks down the root causes of Snowflake overspend from idle warehouses and ingestion traps to runaway cloud services charges and shares actionable strategies that have helped leading teams cut compute costs by 30–60% without sacrificing performance. 'Snowflake transformed the data stack but cost control hasn't kept up,' said Ido Arieli Noga, Co-Founder and CEO of Yuki. 'Too many teams are drowning in dashboards, tuning settings by hand, or relying on visibility tools that don't actually optimize anything. This guide is about taking back control and showing how real automation changes the game.' Key Takeaways from the Guide: Why traditional FinOps is broken and why dashboards aren't enough. and why dashboards aren't enough. 6+ Snowflake join optimization techniques to slash query costs. to slash query costs. How hidden services like ingestion and metadata lookups quietly drain budgets. Real-world cost benchmarks (e.g. $11,500/month for a single 2XL warehouse) and how to prevent them. (e.g. $11,500/month for a single 2XL warehouse) and how to prevent them. The ROI of replacing manual tuning with real-time automation from tools like Yuki. Built for Data Teams at Scale This new guide comes on the heels of Yuki's launch in the AWS Marketplace and reflects the company's continued push to make enterprise-grade cost control accessible, fast, and fully automated. Trusted by large data teams, Yuki delivers dynamic warehouse optimization, plug-and-play integration, and immediate ROI, without code changes or performance tradeoffs. Download the guide: Snowflake Cost Optimization Guide Get a free Snowflake efficiency assessment About Yuki Yuki is the real-time optimization platform for Snowflake. We eliminate compute waste, maximize performance, and keep your data platform lean, without the dashboards, manual tuning, or operational overhead. One connection string, zero manual effort, 30%+ savings. Learn more at ContactPerry TapieroPublic Relations [email protected]

Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning
Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning

Yahoo

time3 days ago

  • Business
  • Yahoo

Yuki Releases First Industry Guide to Snowflake Optimization, Helping Data Teams Save 30-60% Without Manual Tuning

SAN FRANCISCO, May 30, 2025 (GLOBE NEWSWIRE) -- Yuki, the leader in automated cost optimization for Snowflake, has released its first flagship gated asset: The Ultimate Guide to Snowflake Optimization (2025 Edition), a hands-on playbook for data teams, FinOps leaders, and platform owners navigating the growing complexity (and cost) of large-scale Snowflake environments. The guide breaks down the root causes of Snowflake overspend from idle warehouses and ingestion traps to runaway cloud services charges and shares actionable strategies that have helped leading teams cut compute costs by 30–60% without sacrificing performance. 'Snowflake transformed the data stack but cost control hasn't kept up,' said Ido Arieli Noga, Co-Founder and CEO of Yuki. 'Too many teams are drowning in dashboards, tuning settings by hand, or relying on visibility tools that don't actually optimize anything. This guide is about taking back control and showing how real automation changes the game.' Key Takeaways from the Guide: Why traditional FinOps is broken and why dashboards aren't enough. 6+ Snowflake join optimization techniques to slash query costs. How hidden services like ingestion and metadata lookups quietly drain budgets. Real-world cost benchmarks (e.g. $11,500/month for a single 2XL warehouse) and how to prevent them. The ROI of replacing manual tuning with real-time automation from tools like Yuki. Built for Data Teams at Scale This new guide comes on the heels of Yuki's launch in the AWS Marketplace and reflects the company's continued push to make enterprise-grade cost control accessible, fast, and fully automated. Trusted by large data teams, Yuki delivers dynamic warehouse optimization, plug-and-play integration, and immediate ROI, without code changes or performance tradeoffs. Download the guide: Snowflake Cost Optimization Guide Get a free Snowflake efficiency assessment About YukiYuki is the real-time optimization platform for Snowflake. We eliminate compute waste, maximize performance, and keep your data platform lean, without the dashboards, manual tuning, or operational overhead. One connection string, zero manual effort, 30%+ savings. Learn more at ContactPerry TapieroPublic Relationspr@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Should You Buy, Sell or Hold CrowdStrike Stock Before Q1 Earnings?
Should You Buy, Sell or Hold CrowdStrike Stock Before Q1 Earnings?

Yahoo

time3 days ago

  • Business
  • Yahoo

Should You Buy, Sell or Hold CrowdStrike Stock Before Q1 Earnings?

CrowdStrike CRWD is scheduled to report its first-quarter fiscal 2026 results on June 3, 2025. CrowdStrike anticipates revenues between $1.1006 billion and $1.1064 billion for first-quarter fiscal 2026. The Zacks Consensus Estimate for CRWD's fiscal first-quarter revenues is pegged at $1.1 billion, indicating year-over-year growth of 19.92%. For the fiscal first quarter, the company expects non-GAAP earnings per share between 64 cents and 66 cents. The Zacks Consensus Estimate for CRWD's fiscal first-quarter earnings is pegged at 66 cents per share, indicating a year-over-year decline of 29%. The consensus mark for earnings has been revised upward by a penny over the past 60 days. Image Source: Zacks Investment Research CrowdStrike's earnings beat the Zacks Consensus Estimate in each of the trailing four quarters, the average surprise being 11.65%. (Find the latest EPS estimates and surprises on Zacks Earnings Calendar.) CrowdStrike price-eps-surprise | CrowdStrike Quote Our proven model does not conclusively predict an earnings beat for CrowdStrike this time. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the odds of an earnings beat, which is not the case here. You can see the complete list of today's Zacks #1 Rank stocks here. CRWD currently carries a Zacks Rank #4 (Sell) and has an Earnings ESP of 0.00%. You can uncover the best stocks to buy or sell before they are reported with our Earnings ESP Filter. CrowdStrike's first-quarter fiscal 2026 results are likely to benefit from the robust demand of its cybersecurity products, given the increasing number of threat incidents across the globe. As a rising number of employees log into the enterprise's network, the vulnerabilities of cyber breaches lead to a greater need for security. These factors are likely to have spurred the demand for CRWD's products in the fiscal first quarter. CrowdStrike's robust pipeline of deals indicates that the company is ideally positioned to capitalize on this opportunity. CrowdStrike's robust revenue growth in subscriptions is likely to have contributed significantly to the first-quarter top line. Furthermore, the rising number of net new subscription customer additions might have acted as a tailwind for CrowdStrike. CRWD's partnership with Amazon Web Services ('AWS') is a bright spot, enabling the company to gain from the availability of its products on the AWS platform. The expansion in the volume of transactions through Amazon's AWS Marketplace, growth in co-selling opportunities with AWS and Salesforce, and the uptake of AWS service integrations are likely to have contributed to CRWD's earnings in the to-be-reported quarter. CrowdStrike has achieved C5 compliance from the German Federal Office for Information Security and FedRAMP authorization from the United States. This is likely to have brought in more government-based contracts, providing stability to its top line. Moreover, CrowdStrike gained multiple AI-based capabilities like AI Model Scanning, Shadow AI detection and Charlotte AI Agentic Detection Triage. These innovations are likely to have helped the company gain more customers. In the year-to-date period, shares of CRWD have climbed 34.1%, outperforming the Zacks Security industry and its peers, including Check Point Software CHKP, Palo Alto Networks PANW and SentinelOne S. The Zacks Security industry has returned 17.2% year to date. Shares of Check Point Software and Palo Alto Networks have returned 20.1% and 2.1%, respectively, while SentinelOne shares have plunged 21.7% in the same time frame. Image Source: Zacks Investment Research Now, let's look at the value CRWD offers investors at the current levels. CRWD is trading at a premium with a forward 12-month P/S of 22.29X compared with the industry's 14.24X, reflecting a stretched valuation. Image Source: Zacks Investment Research CrowdStrike is facing several challenges related to customers' negative sentiments since the global IT outage incident on July 19, 2024. The company has been implementing the Customer Commitment Package to retain its customers, which includes product additions and discounts, hence compressing its revenue recognition and profitability. Amid customer backlash and ongoing regulatory scrutiny that could damage CrowdStrike's reputation, competitors may seize the opportunity to attract and convert its customer base. The cybersecurity space already contains players like Palo Alto Networks, SentinelOne and Check Point, which provide similar products like CrowdStrike. For instance, CrowdStrike's Falcon Extended Detection and Response that connects multiple layers, including email, endpoints, servers, cloud workloads, and network, to provide a comprehensive security competes with SentinelOne's Singularity platform, which provides AI-powered endpoint protection and XDR. SentinelOne also offers Autonomous threat hunting and remediation like CRWD. Like CRWD, Palo Alto Networks provides endpoint protection through Cortex XDR, which combines endpoint, network, and cloud data to detect and respond to threats. On the other hand, Palo Alto Networks' Prisma Cloud competes with CRWD's Falcon Cloud Security. CrowdStrike and Check Point Software compete particularly in endpoint protection, cloud security, and threat intelligence. CRWD's stretched valuation and precarious situation amid revenue compression, lowered profitability and stiff competition raise investors' concerns. Considering all these factors, we believe it is prudent to stay away from this stock before the first quarter fiscal 2026 earnings. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Check Point Software Technologies Ltd. (CHKP) : Free Stock Analysis Report SentinelOne, Inc. (S) : Free Stock Analysis Report Palo Alto Networks, Inc. (PANW) : Free Stock Analysis Report CrowdStrike (CRWD) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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