Our client is known for being innovators in the new digital content steaming platform services. Some of the brightest technologist and architects work here at Digital Television, but when it comes to Elasticsearch lacked expert level skills. When designing or configuring Elasticsearch to support high loads, heavy interactive search in an 99.9% uptime use-case, key critical skills are needed. If you couple that with complex application search code at the search API layer, this can bring your development team to a complete halt and bring frustrations with overall search performance. It not only takes a deep understanding Elasticsearch, but in many cases understanding of software systems in general to tackle such complex types on configuration problems with Elastic. At Weblink, we not only excel at Elasticsearch professional services, but also bring over 20+ years of deep software development and implementation skills on various application stacks. Organization that engages our Expert Elastic consultant service typically avoid these 5 typical outcomes with their Elasticsearch project

• Delayed release of key enhancement or features
• Delayed release of key enhancement or features
• Delayed release of key enhancement or features

If your organization have experienced any of the above 5 outcomes, then consider engaging with Weblink technologies for our Search Application Assessment discovery service. You will avoid costly mistakes and the above-mentioned outcomes which can affect the overall ROI around your search project. With we Discovery service we typically achieve a 20% ROI improvement from our Search Application Assessment in the form of cost savings and team loss.

The Challenge

In one search intensive use-case, at any time 20% of 2.2 million users or more could browse digital content from a well know digital content streaming service. Their users expect fast content information rendering and smooth displaying of content ribbons full of relevant content curated especially for them. Additionally, users typically channel surf, switching between multiple digital channels at any given time looking for the content ribbons to display in an ultra fast or instant manner. Elasticsearch was expected serve this content and to respond within 200ms to any change on the user’s content portal, see below.

The Stratergy

After you have the right deployment configuration, we look deeper into the structure of the overall data index. We have proven that size matters when it comes to speed in getting your indexes to the right size is crucial for achieving the fastest possible spots times. It is also important to understand your data sets in terms of size and structure. Know what things you need and what things you can do without. Many times, we see customers returning all the data fields from a query, when actually they are only using a handful of these fields. We our approach streaming the data sets down to bare minimum, I constantly achieve response payload size reductions of 50% smaller or more. This superior optimization can easily increase response times by 20% to 30%.