Getting Started With Continuous Monitoring

Source:-https://devops.com/ DevOps continues to gain traction among organizations as demand grows for digital product and platform development. According to Gartner, 87% of business leaders believe digitalization is a priority. Every DevOps transformation requires a dedicated, continuous learning process and effective implementation to reach maturity. If a practice or pattern is passed over or ignored, it can put a damper on DevOps success. Continuous monitoring, for example, is a very important part of every DevOps life cycle that is often overlooked.

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Vonage Receives AWS Machine Learning Competency Status in Applied AI

Source:-https://www.prnewswire.com/ HOLMDEL, N.J., March 10, 2021 /PRNewswire/ — Vonage (Nasdaq: VG), a global leader in cloud communications helping businesses accelerate their digital transformation, has announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that Vonage has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers

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New Relic : Resolve Production Issues Faster with Suggested Responders

Source:-https://www.marketscreener.com/ Imagine this familiar scenario: A new incident hits production; your team is getting paged and a growing number of people are getting on the conference bridge or joining the Slack channel to troubleshoot. A lot of chatter takes place. Everyone is trying to figure out what went wrong. But almost immediately, it feels like there are a lot more people on this than are necessary. If I had to throw a number out, maybe 50% more people than necessary.

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Digital.ai Drives Innovation in AI-Powered Value Stream Management with Four New Patents

Source:-https://www.oaoa.com Digital.ai, the creator of the industry’s first intelligent Value Stream Platform, today announced that it has been granted four U.S. patents for advances in AI-powered analytics. The patents represent industry-leading innovations in applying artificial intelligence (AI), machine learning (ML), and automation techniques to address key challenges business and IT leaders face in driving higher levels of performance within their organizations. These four new patents bring the company’s total to more than 45 patents granted and further establish Digital.ai as

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Using Machine Learning and Kubernetes Logs to Automate Security Threat Detection

Source:-https://containerjournal.com Kubernetes is quickly consolidating its place as the leading container orchestration platform for cloud-native applications, with adoption at 59% among enterprise IT professionals as of March. But while Kubernetes delivers agility, flexibility and scalability for DevOps teams, it also creates complexity that can be an enigma for SecOps teams—especially when something goes wrong. When it comes to detecting threats and tracking down breaches in Kubernetes, security teams’ key asset is the Kubernetes API server audit log. The audit log

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As the quantity of test data increases, machine learning could be the answer to sort through it all

Source:-https://www.applause.com Scaling test automation and managing it over time remains a challenge for DevOps teams. Development teams can utilize machine learning (ML) both in the platform’s test automation authoring and execution phases, as well as in the post-execution test analysis that includes looking at trends, patterns and impact on the business. Before diving deeper into how ML can help during both of these phases of the test automation process, it is important to understand the root causes of why test

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AWS Provides Machine Learning Tech for Veteran Mental Health Research Effort

Source:-executivebiz Amazon Web Services partnered with social media platform developer RallyPoint, the Department of Veterans Affairs and Harvard University to develop a machine learning model that can detect mental health issues among veterans, Nextgov reported Friday. Under an agreement with VA, the Amazon Machine Learning Solutions Lab worked with RallyPoint and Harvard’s Nock Lab mental health professionals to utilize data science for identifying “high-value use cases” among users of the military-focused social network. AWS provided data-labeling services as well as

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Infoworks Announces DataFoundry Free Trial on Google Cloud

Source:-valdostadailytimes.com Infoworks.io, the leader in Enterprise Data Operations and Orchestration (EDO2) systems, today announced a free trial program of Infoworks DataFoundry on the Google Cloud Marketplace. The trial features a new version of DataFoundry that incorporates an interactive assistant to guide users in the onboarding of data to Google Cloud and development of advanced analytics use cases. DataFoundry helps Google Cloud customers unleash the full power of Google Cloud’s advanced analytics to make informed business decisions by automating onboarding and

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BRINGING AI AND MACHINE LEARNING ACCESSIBLE TO ENTERPRISES CREDIT TO CLOUD

Source:-analyticsinsight.net Machine learning has a tremendous offering to the enterprise-but how? Machine learning, a sub-component of artificial intelligence, is not new to the enterprise. But with techniques like deep learning, emulating human brain actions, increasingly gaining traction, businesses are identifying new and potentially transformative deployments of digitally disruptive technologies. According to Algorithmia’s 2020 report, the main use cases for machine learning translate to customer service (i.e. chatbots) and internal cost reduction. But machine learning has applications far and wide. Dynamic

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10 Ways AI Is Accelerating DevOps

Source:-forbes.com Startups offering AI-powered software development tools raise $704M over 12 months ending September 2019, according to a Deloitte report published earlier this year. IDC predicts the global market for custom application development services is forecast to grow from $47B in 2018 to more than $61B in 2023, attaining a 5.3% Compound Annual Growth Rate (CAGR) in five years. Poor software quality cost US organizations an estimated $319B in 2019, according to the Consortium for IT Software Quality’s report on

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