CA Technologies marked a major milestone in the company’s autonomous strategy with the availability of CA Digital Experience Insights which is now combined with the power of CA Operational Intelligence and CA Automic Service Orchestration. Together they form the new CA Artificial Intelligence for IT Operations (AIOps) platform, to enable IT teams to automate and eliminate key tasks and make self-healing applications a reality.
The CA AIOps-driven platform leverages new, innovative AI, machine learning and automation capabilities. The platform normalizes, correlates and analyzes the rapidly increasing volume and variety of IT operational data across the entire digital delivery chain. Seamlessly spanning cloud to mainframe, it provides for superior user experiences, while speeding innovation and increasing IT efficiency.
In a recent survey conducted by TechValidate, 76 percent of customers indicated that predicting probable future events, that may impact availability and performance, is the primary benefit of AIOps platforms.
“Speed, scale and customer experience define value in today’s digital economy, and AI-driven systems of intelligence that increase revenue and improve operations are critical to our customers’ digital transformation,” said Ashok Reddy, GM of DevOps Solutions at CA Technologies. “With the advent of nondeterministic, ‘self-driving’ apps, only CA can deliver the AI-driven analytics and machine learning required to autonomously predict and remediate incidents whereby transforming IT into a strategic competitive advantage.”
According to Gartner, “By 2023, 30 percent of large enterprises will be using artificial intelligence for IT operations (AIOps) platforms and digital experience monitoring (DEM) technology exclusively to monitor the nonlegacy segments of their IT estates, up from 2 percent in 2018.” Furthermore, “by 2023, AIOps platforms will become the prime tool for analysis of monitoring data. Today's domain-specific monitoring tools will become specialist, midlevel managers, who, while continuing to exist, will feed their important data into AIOps for consolidated, higher-level analysis.”
To create apps that are truly self-healing, IT teams need systems that can automate problem recognition and the execution of multiple corresponding steps to fully remediate issues across complex hybrid IT environments. CA Digital Experience Insights uses machine learning and complex pattern matching to automatically identify the root cause of common app performance issues such as limited computing capacity and Java memory errors. Through a seamless connection to CA Automic Service Orchestration, this root cause identification automatically triggers a cascade of corresponding actions such as scaling up additional resource, initiating restarts or failing over to active resource. The end result is that many common performance issues can be remedied before they ever impact end users, often without any human intervention.
Capabilities and benefits of the CA AIOps platform include:
- Comprehensive Contextual Operational Intelligence. CA Digital Experience Insights ingests structured and unstructured data from IT performance monitoring tools spanning mainframe to the cloud and any third-party source into a single, resilient data lake. Supported coverage includes metric, alarm, log, topology, text and API data.
- Proactive Closed Loop Remediation. CA Digital Experience Insights combined with Automic Service Orchestration offers predictive analytics to help solve complex IT problems like performance and capacity. Configuration issues can be detected proactively (before they impact users) and remediated automatically.
- Vendor-agnostic Integrations. Customers can more quickly and easily stream metric, event, log and topology data to and from any third-party monitoring, management, analytics, and visualization tools, including Splunk, IBM, Elastic, ServiceNow, Dynatrace, AppDynamics, SolarWinds, Puppet, Chef, Tableau and more.
- Pre-packaged Algorithms and CA Integrations. Built-in machine-learning-driven algorithms, dashboards, and integrations speed time to value for customers. The CA AIOps platform also integrates with a wide variety of CA solutions.
- Powerful open source-based engine. Built on top of CA Jarvis, a powerful analytics engine that leverages open technologies such as Elasticsearch, Apache Kafka®, and Apache Spark™, the solution scales and allows teams to more easily integrate with third-party business or IT data sources to further enrich the data set.
Unlike point monitoring and incident management tools, CA offers cross-tier correlated insights, enabled by AIOps, that provide IT Ops teams with streamlined insight into the state of the customer experience. Understanding how underlying apps and infrastructure affect performance and having the availability and intelligence to predict and prevent future problems is critically important in this day and age. In TechValidate’s research, 82 percent of surveyed customers agreed that CA has the breadth and depth of monitoring expertise to deliver the cross-correlation of data from app to infra to network[
The Latest
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...