CloudFabrix

Pleasanton, CA, USA
2015
May 19, 2022   |  By CloudFabrix
One of our partners in the LATAM region is working with an end customer, to implement a custom predictive maintenance dashboard, by pulling in and correlating data from multiple sources (like Zabbix, Jira Cloud, Cato Networks, Extreme Networks CloudIQ, etc.) and sending out the data to update a Grafana dashboard, which can read data from OpenSearch. Partner is using our data bots and low-code/no-code pipelines to implement this project.
May 10, 2022   |  By CloudFabrix
According to Insight Partners, the AIOps platform market size is expected to grow from $2.83 billion in 2021 to $19.92 billion by 2028 at a compounded annual growth rate of 32.2%. This skyrocketing growth is fueled by the pace of the IT data deluge getting out of the human hand and the need for resource optimization. Every organization is increasingly producing more IT data, whether in a siloed or unified form.
Apr 1, 2022   |  By CloudFabrix
Organizations today are pressured to keep their IT applications and infrastructure up and running and minimize their downtime. While this has always been a critical goal, it’s become harder to achieve with modern architectures, such as microservices, containerization, edge computing, hybrid-cloud deployments and the newer development methods such as agile DevOps techniques.
Mar 21, 2022   |  By CloudFabrix
Enterprise data systems are like busy family households. You see a constant flow of activity to varying degrees from room to room. This activity includes people wandering, opening and closing doors. And then there are other streams constantly flowing through the household- electricity, water, Wi-Fi networks and more. In modern enterprises, the data deluge is a critical issue. While we take the complexity for granted in a household, such is not allowed in a connected enterprise.
Feb 28, 2022   |  By Srinivas Miriyala
According to Gartner, enterprise usage of AIOps is set to surge from a mere 5% in 2018 to a whopping 30% in 2023. To survive in an increasingly competitive market, MSPs must not only respond well to customer expectations but anticipate them. Another Gartner report states that by 2025, over 80% of public cloud managed and professional services deals will require both hybrid and multi-cloud capabilities from the provider, up from below 50% in 2020.
Feb 12, 2022   |  By Tejo Prayaga
AIOps or Artificial Intelligence for IT Operations refers to a set of technologies that augment human decisions with autonomous decisions driven by AI and machine learning that learn patterns, relationships from data. AIOps is the term originally coined by Gartner, and pictorially illustrated in the following way
Feb 11, 2022   |  By Tejo Prayaga
One of the core value propositions of AIOps platforms is to increase IT efficiency & productivity by applying AI & ML techniques to perform Alert Noise Reduction. This in turn translates to direct cost reduction due to savings in IT man-hours. In this approach, the AIOps platform kind of becomes like a gatekeeper for all the IT alerts/events, and it can help effectively, reduce and correlate such events, so as to send meaningful incidents to NOC or Service Desk.
Jan 31, 2022   |  By Srinivas Miriyala
The security stack is a crucial part of any company’s IT infrastructure. However, Security teams increasingly report that traditional SIEM solution approaches are “costly, complex, and resource-consuming,” according to a recent ESG survey. Fortunately, there has been significant innovation in how firms approach cybersecurity with new cloud-native technologies stack and breaking free from vendor lock-in and giving themselves more flexibility, cost advantage, and future-proofing.
Jan 21, 2022   |  By Bhaskar Krishnamsetty
Observability has gained a lot of momentum in the past year, be it full stack observability or data observability. Modern complex IT systems using clouds, microservices and serverless are easy to develop and deploy but extremely difficult to observe. These systems generate tremendous amounts of data and need an automated way of handling the volume. The next era of delivering customer experience is underpinned by the full stack observability capability.
Dec 15, 2021   |  By Gurubaran Baskaran
“Have you tried shutting it off and turning it back on?” While AIOps won’t likely remove this query from our vocabulary any time soon, technology is certainly here to take on a bulk of the heavy lifting. For all-sized companies, service calls are still going to continue to pour in. And, there’s no sign of any of the world’s CompTIA certs going to waste in the near future. Still, thanks to AIOps, many jobs within the world of IT will become more streamlined.
Apr 28, 2022   |  By CloudFabrix
Welcome and keynote address | Shailesh Manjrekar Vice President AI & Marketing at CloudFabrix, Forbes Technology Council Member
Sep 22, 2021   |  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?
Sep 2, 2021   |  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
Aug 25, 2021   |  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.
Aug 13, 2021   |  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.
Aug 9, 2021   |  By CloudFabrix
Handling a huge volume of alerts can be quite challenging and can severely affect your business if not managed correctly!
Jun 15, 2021   |  By CloudFabrix
Robotic Data Automation (RDA) helps enterprises realize value from data faster by simplifying and automating repetitive data integration, preparation and transformation activities using Low-Code workflows and data bots, including built-in AI/ML-bots.
Jun 7, 2021   |  By CloudFabrix
The AI market is projected to reach a $3 trillion mark by 2024, and machine learning, which is a big part of AI, is the key driver of that growth. Machine learning can augment human understanding in processing large and complex datasets that are typical in IT operations. With rapid advancements in AI/ML technologies, enterprise leaders are beginning to take big bets on AI.

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.