Avekshaa's unique, core technology platform "P-A-S-S™ Assurance Platform" uses an innovative and disruptive approach to manage IT complexities across the four pillars of Performance, Availability, Scalability and Security (P-A-S-S™). The P-A-S-S™ Assurance Platform is best suited for wide range of IT systems and applications; from complex integrated environments to off-the-shelf application suites, from legacy applications to cloud solutions, with current as well as new IT systems. The platform is built using company's core IPs, proven methodologies, knowledge base of use cases, and real life scenarios.
Avekshaa's P-A-S-S™ Assurance Platform supports solutions across all phases of the Application Life Cycle: development, maintenance, and production phases, and are adaptable across all delivery models (e.g. Agile, DevOps, etc.). Our P-A-S-S™ assurance platform helps us to rapidly analyze and isolate issues across the technology stack, engage with the impacted technology layer through a data-driven approach and resolve complex technology issues in a timely manner, and helps us to consistently deliver results.
Our P-A-S-S™ Assurance Platform led solutions have helped us prevent and solve 2300+ problems and 2X return on value through projects for our customers worldwide. Know More
COM-P-A-S-S™ is an automated performance modeller that is built on our experience in modelling some of the largest IT systems across the globe. Building mature models that can predict performance levels is a highly specialized skill that is acquired through experience frommultiple projects.
The tool provides the perfect platform for taking objective decisions related to hardware augmentation, and is an early-warning system for avoiding performance and scalability issues from disrupting business.
COM-P-A-S-S™ helps IT teams to address some of the most endemic concerns in any IT setup:
Our Cloud based P-A-S-S™ Analytics leverages existing APM tools and provides insightful information for identifying bottlenecks across the various layers in the environment: web server, application server, code, database, network, etc. P-A-S-S™ Analytics is composed of Data Collection Engine, Data Modelling framework and Analytics components. The Analytics engine comes in-built with various common failure patterns and rule-sets that are constantly updatedbased on our experience fromvarious projects, making it progressively more intuitive and insightful over time. It also has self-learning capabilities that use issues identified over a period of time as a basis for building intelligence. P-A-S-S™ Analytics helps in swift analysis, performance engineering andmonitoring activities, and capacity planning.
While enterprises put a lot of emphasis on monitoring performance levels of online transactions and interactions, batch operationsare oftenneglected. Gathering intelligence about batch performance and whetherit is degrading over time is usually missed. The Avekshaa P-A-S-STM BatchMon performance monitoring tool addresses this gap by providing a configurable framework for collecting metrics that can be used tomonitor and illustratebatch performance levels over a period of time.
Avekshaa CusExp P-A-S-STM helps understand the actual performance levels experienced by the end user - this is critical for getting a view that is not limited to data center performance levels. The tool is useful in getting insights into performance levels that may be experienced by certain branches, customers, agent groups, etc. This intelligence is extremely crucial for corroborating feedback given by end users, which at times maynot match the inputs given by IT teams. The tool has the following features:
Complex distributed applications are a reality today. Failure or degradation in downstream applications is one of the most common causes of failure in upstream applications. For example, a CRM that is not performing optimallycan potentially cause failuresinthe Internet Banking channel which depends on the CRM. Avekshaa IntgApp P-A-S-STM intelligently monitors downstream applications that are integrated with the core application, with minimal CPU and memory overhead. The tool provides a feedback loop to the core application which can then fail-over in a graceful manner, or isolate the problematic application by temporarily suspending traffic.