Onboarding new resources typically means steep learning curves of the technical and business application environments before developers can be successful.
Integrated Polyglot Environment
Optima is PolyATOM’s integrated polyglot environment which enables developers to dramatically streamline their build and deploy processes. Training and onboarding times are dramatically reduced with Optima’s modernized cloud management ecosystem. Time to market declines as developers leverage agile testing and development processes, reducing costs and improving customer satisfaction.
Manage multi program implementations
Use Case
Multiple changes are planned for the same suite of applications. Using Optima, each team codes and tests their changes in a segmented environment that mimics production, inclusive of all required security and authentication processes. Even though program development timelines overlap, each team moves confidently from Dev to Test to Prod knowing Optima’s polyglot automated integration process coordinates all changes across all platforms.
Organizational digitization means more data in more places.
To capitalize on that transition, organizations must find, harness, and leverage data to create real business value.
Provides discrete
data link-ability
DataLink facilitates data traversal in an asynchronous manner between applications, environments, and data formats providing insight into real-time trends, behaviors, data movement and resource consumption.
Identify product consumption over last 3 years
Use Case
A dashboard to systematically merge and aggregate data located in 15 different databases on 3 different platforms was created in days instead of months providing valuable consumer insights. DataLink enabled the team to create required reports without relying on scarce data architects and mining resources generating valuable cost savings for the organization.
Increasingly complex system and application environments require specialized technical training and increased onboarding time for support teams.
360 view of applications interaction
Insight provides an in-depth view of all workloads, giving IT SRE teams the information, they need in today’s fast-paced cloud environment. Distributed tracing services continuously monitor and profile each microservice from initial request to final delivery identifying current and potential bottlenecks before outages can occur. Teams are more efficient and effective, improving reliability and operations. Time to market for new apps and services drops dramatically with no additional operationalization effort.
New code deployed last night within the call center environment.
Use Case
Routine monitoring using Insight shows latency on Member look up related services. Using the drill down feature, the team notices the slowdown is related to a specific microservice associated with a specific customer. Additional API analysis and distributed tracing pinpoints the problem. They quickly realize the latency is related to a specific call command updated in the last release. The entire investigative process took minutes as opposed to hours and was completed by an IT SRE team member. While a developer had to make the code change, the time investment of this high demand resource was reduced significantly.
Digital transformation creates complexity and complexity impedes the ability to track, monitor and manage application usage and performance metrics.
Monitoring, Dashboards and Alerting
IT SRE teams are continuously challenged to reduce costs and improve response time. Automated alerting systems monitor across the enterprise focusing on areas of operations, security, and business KPIs. Support teams are notified proactively, business critical outages can occur. With reduced effort on incident identification and resolution, IT SRE teams can focus on innovations, new product development and implementations.
Streamline operational
upgrade costs
Use Case
Prior to starting development, the engineering team reviews routine reports from Scope and finds several underutilized resources / features. The discovery is discussed in the next scrum planning meeting. Additional research with the user community confirms the features aren’t needed. The engineering team removes the features from their development plan saving the company valuable financial resources.