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Jul 30, 2021   |  By Gurubaran Baskaran
Incident management is the process of identifying and resolving problems that occur in IT services. Incident Management is also used as a metric to measure the health of the IT Service Desk. Let’s discuss what incident management is, why it matters to your business, and how you can apply it to your organization.
Jul 23, 2021   |  By Srinivas Miriyala
The onset of ServiceNow has relieved the IT Services workforce. With CloudFabrix RDA added to it, we made it even better. Let’s face it that many IT Service transformation implementations take longer because of a lack of automation around migration and production. The efficiency of ITSM is further compromised due to the absence of data automation and enrichment. ServiceNow with Robotic Data Automation stirs a positive impact on three critical areas of data operations ITSM teams.
Jul 1, 2021   |  By Srinivas Miriyala
Automating incident recovery has inculcated rhythm to systems. But ITOps need more than automation. And, that is the acceleration of automated incident recovery. 79% reported in a survey that adding more IT staff to address IT incident management is not an effective strategy. Incident recovery needs accelerated intelligent automation. The two core outputs when accelerated are better and faster Incident Diagnosis and Resolution.
Jun 29, 2021   |  By Tejo Prayaga
Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right.
Jun 21, 2021   |  By Gurubaran Baskaran
For a long time, IT Ops teams have been trying to keep up with the advancements in data analytics and management. In certain organizations, this problem is charged to DataOps teams. .These teams are tasked with managing data growth and complexity as well as keeping pace with new technologies like Artificial Intelligence driven Ops (AIOps).
Jun 18, 2021   |  By Tejo Prayaga
If you want to automatically send Apache Kafka messages to an Email recipient or a Slack channel, it is very easy to do with our new Software Bots.
May 31, 2021   |  By Srinivas Miriyala
What is NLP Natural Language Processing is a specialized subdomain of Machine Learning which is generally concerned with the interactions between the human and machine using a human verbal or written language. NLP helps in processing huge volumes of text which would take a significant amount of time for a human to comprehend and process otherwise. Hence a lot of organizations take advantage of NLP to gain useful insights out of their text and free formatted data.
May 11, 2021   |  By Tejo Prayaga
In this blog, we will walk through the scenario of sending or E-bonding ServiceNow incidents to 5 destinations simultaneously, using Robotic Data Automation and AIOps Studio. E-bonding refers to a scenario where data is delivered (one-way) or synchronized (two-way) between two or different systems, which are typically under different administrative boundaries. E-Bonding term originally appeared in Service Provider and Telco space (see: ATT E-Bonding).
May 1, 2021   |  By Tejo Prayaga
Implementing any IT project requires time, planning, and effort and AIOps probably requires even more planning and stakeholder involvement, because of the breadth of coverage and potential to bring profits to multiple IT domains/functions (ex: ITOps/ITSM/NOCOps). Customers have high expectations from AIOps, but, even after taking such major projects, most AIOps vendors are only able to support a few core AIOps use cases, which severely limits the utility and potential of AIOps.
Apr 27, 2021   |  By Tejo Prayaga
Lately, I have seen fewer call outs from our field teams to our solution engineering team, and I was wondering what could be the reason? Sometimes, our field engineers approach our solution engineering team with advanced requests for data analysis, running what-if scenarios and assessing the quality of data and what new value can be gleaned by combining related datasets.
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.
Jun 7, 2021   |  By CloudFabrix
Unified Observability lens to your Full-Stack, Hybrid-Cloud environment. Bring together metrics, logs, traces and events from your multi-cloud environment for your DevSecOps and SRE teams
Jun 5, 2021   |  By CloudFabrix
This video covers how easily you can do eBonding integration of ServiceNow Incidents to 5 targets simultaneously using RDA Pipelines and AIOps Studio
Jun 3, 2021   |  By CloudFabrix
This video covers how to signup for RDA AIOps Studio and get started with the product. Robotic Data Automation (RDA) is a modern low-code data pipelining solution that is purpose built to accelerate data preparation and integration activities in modern IT environments, particularly around AIOps, Observability, IT Asset Management (ITAM/SAM), IT Service Management, Collaboration and Hyper Automation/RPA.
Jun 3, 2021   |  By CloudFabrix
Robotic Data Automation (RDA) is a modern low-code data pipelining solution that is purpose built to accelerate data preparation and integration activities in modern IT environments, particularly around AIOps, Observability, IT Asset Management (ITAM/SAM), IT Service Management, Collaboration and Hyper Automation/RPA. RDA pipelines use software bots to automate various data operations and comes with an extensive and growing bot library, which includes native AI/ML bots, 3rd party ML bots, NLP bots, along with many data management, data security, data integrity bots and integration bots.

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.