Organizations are saddled with legacy tech operations-related infrastructure, systems, tools and fixed costs for running BAU.
Organizations are saddled with legacy tech operations-related infrastructure, systems, tools and fixed costs for running BAU. The varying scale demands on the production systems place an added challenge on the organizations, often determining how well they can avail growth opportunities and also optimize costs at the same time.
TechMojo removes manual work involved with dynamics of business demand on technical operations by embracing higher levels of automation. This replaces the reactive nature of:
Automation at the core
TechMojo emphasizes end-to-end automation of operations, starting from configuration and deployment to that of infrastructure provisioning and scaling. Horizontal scaling of services coupled with infrastructure ramp up using automation tools like Kubernetes have enabled some of our clients take 2.8x workloads caused by corresponding traffic in a matter of 3 weeks, with no additional man hours incurred.
Our belief and expertise in designing software systems upfront for scale, with right enterprise architecture definitions and continuous benchmarking processes, have come handy in the process and saves time needed to scale.
Intelligent monitoring systems and service desks
TechMojo leverages log analytics from the data generated from OLTP to building intelligence into the systems that proactively identify fault patterns using technologies stack like ELK. This enables the building of intelligence into observability and monitoring, and shifts the paradigm from human dependency in service desk management to that of building intelligence for proactive fault identification using data and automation.
Site Reliability Engineering
Strong feedback loops between the different stakeholders in the application development and technical operations are leveraged via site reliability engineering processes to achieve “four 9s” of availability and reliability. Our agile processes build on the strong feedback loops between application teams and operations teams to build a culture of continuous collaboration to reduce tech debt and higher responsiveness to production reliability.