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Productivity is Paramount

Posted by Rebecca Barnett on March 20, 2017

Nobel laureate Paul Krugman says that the UK’s future prosperity depends on increasing productivity. Which is why it is worrying that productivity has barely grown in the UK since the financial crisis, and now lags 35% behind Germany and 30% behind the US. In real terms, this means that it takes a German worker four days to produce what a British worker makes in five; too many British workers are working longer hours for lower pay.

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The field service trends you need to know in 2017

Posted by Rebecca Barnett on February 6, 2017

Every New Year brings with it an abundance of predictions for the twelve months ahead: some realistic, others more far-fetched. We’ve brought together the best of them to create a round-up of field service trends you need to know about in 2017.

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How to cut AWS ELB costs by 90% using Application Load Balancers

Posted by Leigh Hayward on January 25, 2017
At Cognito iQ we are running around 50 Elastic Load Balancers (ELBs) per customer environment. On an average day, they will cost us around $34 each, these costs soon mount up, especially as we are now about to launch our 15th environment in the cloud. From this, we could see a massive cost inefficiency with the use of ELBs and so we identified it as an area where we could potentially save a decent amount of money. But what to do….. Application Load Balancers!

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Performance Management. It’s all about a single number.

Posted by Rebecca Barnett on January 12, 2017

High performing businesses actively identify key performance metrics for employees who perform similar roles and then measure their progress against target values as a way of measuring their overall effectiveness. Key to this is helping the employee understand how their work supports the business and impacts or influences overall business performance.

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How Cognito iQ Uses ELK and Logz.io for Monitoring and Customer Support

Posted by Chris Funderburg on November 4, 2016

Following the move of Cognito iQ’s infrastructure to the cloud and the growing needs of both the engineering and support teams at the company, the existing methods and tools used for monitoring and logging became too costly. The manual work involved in extracting critical insights from the data consumed too many valuable resources from the developers.

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