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By Tejo Prayaga
Artificial Intelligence for IT Operations (AIOps) is an advanced analytics and operations management solution that is designed to help organizations address the challenges of monitoring and managing IT operations in the era of digital transformation. AIOps leverages the power of Artificial Intelligence and Machine Learning Technologies to enable continuous insights across IT operations monitoring.
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By Srinivas Miriyala
According to one survey, 94% agree that AIOps is “important or very important” to manage network and cloud applications performance. AIOps intends to help customers contextualize humongous data volumes and streamline IT operations with automation. As IT infrastructure grows in complexity, alerts flood IT Ops centers and Ops teams drown in managing the deluge.
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By Tejo Prayaga
The absence of topology can be a key inhibitor for AIOps tools, creating blind spots for AIOps as they only have access to event data. A topology, an IT service model, or a dependency map is a real-time picture of tools and services that are connected and dependent on each other to deliver an IT service. Suppose an application is driven by cloud-native technology, connected with any kind of ephemeral systems (containers and microservices), and relies on storage, database, and a load balancing tool.
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By Jason English
There’s plenty of loaded terminology and buzzword bingo when it comes to the latest advances in cloud application delivery. Especially when it comes to multi-cloud – which should merely mean multiple cloud instances when modern cloud applications really leverage multiple hybrid IT operating models, atop both existing business silos and newer microservices application workloads.
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By CloudFabrix
A pivotal inhibitor to mitigate these challenges is the Data Value Gap. Data automation and Data Fabric are emerging as key technologies to overcome these challenges. Learn from industry experts about these key technologies and how they create a lasting impact in enterprise IT.
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By CloudFabrix
This is the first Feature Byte in the AIOps series. The idea of the Feature Byte series is to talk about key operational tasks and processes in AIOps, and how CloudFabrix Data-Centric AIOps platform features help implement such tasks. Look for more such feature bytes over the next few weeks.
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By CloudFabrix
Data laying all around an enterprise’s premises and over the cloud is of no use unless it forms part of a bigger and clearer picture. This is what a data stack does by helping enterprises leverage data to its fullest potential- it turns raw data into insights that can be acted on and lead to business benefits. The complicated modern enterprise of today cannot make do anymore with the obsolete ways of data management.
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By CloudFabrix
AI has certainly become the hallmark of digital transformation strategy. According to IDC, global AI spending is forecasted to reach $500 billion in 2024 with a CAGR of 17.5%. Likewise, Gartner predicts low-code application platforms (LCAP), robotic process automation (RPA) and AI are fueling the growth for hyperautomation, and the market will reach $596 billion in 2022, up nearly 24%.
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By CloudFabrix
According to Norton’s Cyber Safety Pulse Report, India faced over 18 million cyber threats in only Q1 2022, roughly 200,000 threats every day. Of the bulk, 60,000 were phishing attempts, and 30,000 were tech support scams. For perspective, phishing attempts around the world during the same period counted for approximately 16 million. CERT-In also reported over 2.12 lakh (~0.1 million) cybersecurity incidents until February 2022.
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By CloudFabrix
Digital-first businesses are striving for service assurance, which has become the lifeblood for their businesses processes. But they are increasingly getting complex across legacy and cloud-native applications, multi-cloud distributed services, with the rise of edge and when leveraged with Kubernetes and microservices architectures. Service assurance needs full-stack observability; however, customers need an approach to tame the data deluge while enabling actionable insights.
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By CloudFabrix
Welcome and keynote address | Shailesh Manjrekar Vice President AI & Marketing at CloudFabrix, Forbes Technology Council Member
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By CloudFabrix
Perform real-time face detection through a webcam/recorded video using Robotic Data Automation(RDA) in 4 mins. This method is so quick that we can start getting real-time reports on the faces of every person/object in the video without much performance overhead. The best part is it's a low code tool. Intriguing enough?
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By CloudFabrix
We have been talking about RDA recently, but what is it, and how to get started with RDA? Watch this insightful video by Shyam, where he throws light on the fundamentals of Robotic Data Automation.#aiops #roboticdataautomation #cloudfabrix
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By CloudFabrix
Verge.io is partnering with CloudFabrix, a leader in artificial intelligence for IT operations, to chat about why software-defined everything is the way to go. This is a great opportunity to learn how to transform your current data center operations using the latest technology and intelligence. Here’s what we’ll cover: – How artificial intelligence and data center virtualization operating systems work together to change the thinking around traditional data centers.
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By CloudFabrix
Much like oil, data that is available in a raw form is not useful at all. It has to go through various steps before AI/ML could touch it and derive valuable!! Check out the latest video by Shyam Sreenivasan, where he talks about DataOps and why you should automate your data pipelines to run AIOPS at scale.
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By CloudFabrix
Handling a huge volume of alerts can be quite challenging and can severely affect your business if not managed correctly!
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CloudFabrix Software is a an application analytics & intelligence company that provides cross-layer and cross-domain application operations insights irrespective of underlying technology stacks to meet the desired business and operational outcomes.
CloudFabrix helps customers with consistent and guaranteed delivery of application performance and agility from business and operations point of view. CloudFabrix allows enterprises to holistically transform and govern many transforming entities such as people, processes, applications and operations to meet business outcomes in a consistent, quantifiable and insights driven automated manner.
AI & ML Driven IT Operations and Decisions at Scale:
- Observability in a Box: CloudFabrix Observability solution comes with native support of monitoring infrastructure, application, services of both traditional and cloud native architectures with metrics, logs and traces using open source technologies. Customers can also ingest data from 3rd party tools to standardize access of observability data across the enterprise.
- Alert Noise Reduction: Ingest logs, events and traces from any monitoring tool (APM, ITIM, Cloud, Log etc.) to perform high-scale unsupervised ML driven from multiple data sources to reduce alert noise, reduce tickets and bring actionability to incidents.
- Accelerate Incident Resolution: Accelerate incident resolution by having all the incident context, incident causing alerts, CI/stack impact assessment, triage data like time series metrics & logs, root cause insights, in-place collaboration console and diagnostic tools - all at one place.
- Predictive Insights: Proactively watch critical IT services or stacks to predict or prevent IT failures, by continously observing leading indicators, anomalies, correlated behaviors or user specified outcomes. Stacks or services are automatically learned by system, but can also be feteched from CMDB or manually defined by administrator.
- Asset Intelligence & Analytics: Gain real-time 360-degree IT asset visibility, utilization and dependencies, along with key insights about upcoming lifecycle events (like end of sale/support/life), supportability risks due to missing or out-of-contract assets, identify non-compliant assets and measure/track enterprise specific plan of record or compliance policies.
Unified Observability lens to your Full-Stack, Hybrid-Cloud environment.