Problem & Desired Outcome

A Company using legacy a system was falling behind adopting to the technological transformation to remain competitive & embrace new business models.

Our Solution

We built a scalable web based modernized system which was completely service based using micro services architecture. This enabled the system to connect to external services using REST API, a mobile responsive e-commerce platform, ETL systems to consume and convert raw data to operational and analytical data & built a rule based algorithmic system.

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Problem & Desired Outcome

A company required their legacy enterprise system to be responsive to business opportunities, address system inflexibility, maintainability & IT manpower scarcity issues.

Our Solution

We converted a monolithic system with over 100 deeply coupled modules and over 300,000 lines of application code to a distributed micro service platform using AWS services and Netflix OSS as the backbone technology.

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Problem & Desired Outcome

To support a new platform, a company had challenges in migrating PostgreSQL database version 8.x to 9.x without any disruption to the operation

Our Solution

We supported the version upgrade of a system that housed 50+ database instances with 24 * 7 running system with over 100 million transactions per day. The migration included optimizing algorithms, converting existing replication, & monitoring programs

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Problem & Desired Outcome

An Ecommerce business was experiencing many customer complains due to the delayed action by their in-house NOC, who were more reactive rather than proactive in maintaining the networks & systems.

Our Solution

We converted the NOC’s Nagios based infrastructure monitoring system to use ELK, Datadog , Consul with Graffana dashboard to monitor over 200 instances of infrastructure, application behavior, database behavior, network connectivity, tracing and APM. In addition we implemented AWS monitoring solutions with CloudWatch & related AWS services. These improvements enabled the NOC to be proactive in their monitoring service.

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Problem & Desired Outcome

Multiple companies were faced with system performance degradation and slow response times due to increase in the loads on their systems.

Our Solution

Company 1: Optimized several Java based applications to reduce the memory footprint, CPU, IO and database bottlenecks, by re-engineering the code and using java & performance analysis tools.

Company 2 : Resolved database bottlenecks due to increase in data volume and IO operations to optimize performance, using query optimizations, database structure redesign, building a cache layer with REDIS cache and database partitioning.

Company 3 : Worked with several API systems to reduce the response latency from 20 - 30 second to less than 1 second, using downstream caching, map reduce and intelligent work routing.

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Problem & Desired Outcome

Company was facing regular failed releases with roll backs, releases taking over 10 hours with disruption to the operations.

Our Solution

Company 1: transformed the release process from once a month, which took 10 hours, to “on demand releases” and successfully completing within 1 hour. We implemented CI-CD pipelines using Jenkins, QA automation using selenium, cannery deployments & converted artifact based deployments to multiple environments.

Company 2: “On Demand” deployments successfully within 5 minutes, using blue / green deployment. Used Jenkins, infrastructure automation, database automation, QA automation & dynamic traffic routing.

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Problem & Desired Outcome

A bottleneck for the company’s growth was the existing systems and infrastructure could not be scaled at the rate business required

Our Solution

Scaled & migrated systems capable of handling 50k search hits per day to 175 million hits per day by using application re-engineering, moving to distributed architecture, database replication , partitioning , downstream caching and using NoSQL data modeling techniques

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Problem & Desired Outcome

A company kept investing in infrastructure assuming their infrastructure was insufficient to handle the load despite revenue not increasing. Needed to optimize their infrastructure.

Our Solution

We scanned the environment and detected the client’s IT resources were used for crypto currency mining. We, cleaned the malicious software, and hardened the environments to prevent a recurrence. Thereafter we implemented a SIEM solution with a SOC operation to monitor the environment 24/7

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