CA Technologies has announced that CA Digital Experience Insights is now combined with 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 normalises, correlates and analyses 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.
CA Technologies believes it is the only vendor in the market to combine app, infrastructure, network monitoring and machine learning analytics with automated service orchestration; helping users solve complex IT problems including performance, capacity and configuration problems before they impact the business.
In a recent survey conducted by TechValidate, 76% 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,” says 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% 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%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.”
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 visualisation 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.