AutoSys Workload Automation vs. ignio AIOps

In Informatica or Spark ETL jobs loading data into a Data Warehouse using AutoSys Workload Automation triggers ETL pipelines, monitors completion of jobs and also triggers the power bi report refresh. AutoSys Workload Automation can schedule jobs based on file arrival, and provide alerts if any data loads get failed. A small data team managing greater than 100 jobs. Buying and maintaining AutoSys Workload Automation is overkill in terms of cost, complexity and maintenance does not justify the value

Incentivized

It's good for issue resolution, user access request automation, standard report generation, health checks, executing self-healing as configured in the attributes. Currently not good at real-time monitoring to trigger an action. Health checks have to be on a scheduled basis.

• AutoSys Workload Automation is our scheduler that automates and monitors workflows across all our system reducing manual runs
• Applications which run over multiples systems(cloud, on premise) are coordinated using AutoSys Workload Automation
• AutoSys Workload Automation clustering or failover ensures that workloads continue without any issue.
• AutoSys Workload Automation maintains execution logs and job history, which helps in compliance, audit trails, and root-cause analysis.

Incentivized

• ignio handles 100+ use cases covering the entire organization including applications and infrastructure.
• Centralize the dashboard to view and executed the health of systems in our environment.
• It handles CA services desk Incidents and requests. Using automated tools with power shell scripts.
• ignio event management helps the organization to manage the alerts well and make an informed decision.

• In AutoSys Workload Automation, Workflow and job dependencies are shown in a static way, which makes user difficult to visualize more complex job chains or debug failures in a graphical view.
• Latest schedulers (like Control-M, Airflow) allow more easy workflow design makes user to understand it better, but AutoSys Workload Automation relies heavily on JIL scripts and text-based job definitions.
• AutoSys Workload Automation interface is very slow when searching or filtering over thousand of jobs

Incentivized

• There is a lot more the desktop tool can do. For example, we need to apply an upgrade to get the tool to talk to our infrastructure while employees are working from home. The tool was initially installed with the assumption that the desktops would be in UserLand. Instead after COVID-19 the desktop/laptops have been used for over a year on people's home networks. As of right now, we have to sync when the devices are connected to VPN. Moving forward with the upgrade, we will be getting this data over TLS when they are connected to the untrusted networks.
• The concept of ignio AlOps requires OCM efforts within most operational teams. This isn't necessarily the fault of the tool itself, but when implementing ignio, or any AIOps tool, the team will get a lot of pushback as an outside team is centralizing the operational improvements. The tool should have a centralized intake process that will allow the collection, ranking, and management of automation opportunities. ignio AlOps should then simulate the proposed efficiencies from implementing something within the backlog. Right now a lot of local teams are having a hard time getting on the same page as the enterprise teams, and a common methodology for prioritizing (even if overly simplistic) would go a long way to enterprise planning.
• These tools are very new and things get added to them all the time. There should be a way for the product's stakeholders and process owners to understand the additional value ignio AlOps is gaining over time.

It is a very good product and it helps our organization.

AutoSys Workload Automation is a place to schedule, monitor, and manage thousands of jobs. Time, file arrival, dependencies are much very flexible. Once jobs are set up they run consistently with minimal intervention. AutoSys Workload Automation is powerful but very complex o understand. Mainly for beginners the interface is not user friendly. AutoSys Workload Automation is very useful in terms of job scheduling and automation. AutoSys Workload Automation is also useful for strong logging and reporting purpose. AutoSys Workload Automation has reduced a lot of human efforts and manual processing.

Incentivized

ignio AIOps version upgrades were a heavy lift. Having to learn a new language versus an industry standard language took time. More consideration on overall internal long-term support needs to be determined.

Incentivized

It was up than Dynatrace

Incentivized

We had performance issues in older version butterfly. But the new version cheetah is simply amazing

We have built a healthy relationship with the vendor support team throughout the implementation phase, all incidents raised were resolved within the SLA without a fail

Implementation team has provided necessary training & enablement.

Online training materials are shared by the implementation team and it was good.

I am happy with the way team has implemented and shared the product for our organization. However, would like to see it get extended to the other line of business too.

In AutoSys Workload Automation, strong legacy presence, proven reliability, slightly simpler for basic scheduling if user already have in-house AutoSys Workload Automation expertise. so we already had investments in AutoSys Workload Automation, trained team, and large numbers of jobs running thus making AutoSys Workload Automation more cost-effective to continue rather than migrate to use AutoSys Workload Automation over Control-M. All our workloads are heavily batch-driven (SAP, ETL) real-time pipelines. AutoSys Workload Automation provides the robustness and enterprise support that Airflow lacks without heavy internal engineering overhead.

Incentivized

Self HEAL OOB Capabilites

Quite Scalable!

• Critical job process consistently complete on time without delays
• Significant reduction in team effort due to this resources for available for higher-value tasks. Human intervention is reduced due to this incident costs are also reduced.
• Faster incident resolution, improved productivity, and lower downtime.

Incentivized

• ignio has had a positive impact on our organization by saving 7,000+ hours within Operations and automatically resolving 84% of our service requests.
• ignio has increased our alert coverage by over 60%.