We make Abstract ideas Real
Being a trusted supplier of software development services operating worldwide abstractR is delivering IT solutions helping leading technology innovators to build successful software products in the variety of industries.
We provide services in the following domains:
- Web services;
- Mobile applications development;
- Data mining;
- Embedded software;
- Security audit;
- DevOps;
- Video and audio streams processing.
Having only Senior to Principal engineer levels between us you won't be investing into beginner specialists studying on your project. We build solutions that last by writting code that doesn't smell.
See full version of our portfolio items and much more at our website:
headquarters
other locations
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Peremohy Ave 67bKyiv, KV 03062Ukraine
Focus
Portfolio
Nimble inc, GoodData, Open source
Embedded full-text search engine for contact segments
Nimble is a social sales and marketing CRM that enables you to store and organize your contacts, create tasks for follow-up reminders, send trackable templated outreach to targeted lists, track to-do's, manage multiple pipelines at once, and much more.
abstractR took care of implementing Nimble's contact segmentation using combination of MongoDB and ElasticSearch and later using full-text features of PostgreSQL.
Read more at our website
Proactive alerting for machine learned metric
GoodData is an embedded BI and analytics platform that provides fast, reliable, and easy to use analytics.
System operators at GoodData wanted a solution which would allow to avoid doing routine job of manually updating threshold for monitored metric. abstractR created a monitoring system able to automatically detect a degradation in the application system performance caused by recent SW changes or HW hiccup using custom multidimensional version of Kalman filter in for of Splunk plugin prowiding Splunk pipeline commands and rich GUI.
Read more at our website:
Extended logging library for Python language
abstractR created Python library implementing extended capabilities to the std module. It adds support of RFC 5424-5428 logs format, extended by multiline support. This format is digestable by majority of loging software like syslog-ng or logstash for further processing. It is shared to opensource community and has Apache 2.0 license.
Features:
- Useful attrs like user, application name, hostname, path/lineno, pid are automatically added to the log;
- Standardized interface;
- Built in trace/stack generation and formatting;
- Support of Flask. Request id generation and tracing.
Read more at our website:
https://abstract-r.com/project/open_source_extended_logging
Reviews
the project
Search Engine Dev for CRM Platform
"They went above and beyond to find the best solution and worked very closely with our product team."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I'm Head of Product for a leading CRM for small businesses.
For what projects/services did your company hire abstractR, and what were your goals?
As CRM, search engine is crucial for our users to find the data they entered and make sense of it. We hired Sergii to help us build an advanced search engine that will support complex rules and filters across multitude of data fields and millions of contacts our customers have. The goal of the project was create indexing engine, query language to support groups and rules for search filters (e.g. companies with revenue under X and located in San Francisco), and to respond in under 2 seconds for databases with up to 500k contacts.
How did you select abstractR and what were the deciding factors?
We selected Sergii because of his expertise in elastic search, his attitude and his willingness to work hard to solve this challenging problem for us.
Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.
- Index fields from our MongoDB into elastic search (numbers, strings, text, addresses, etc.)
- Build an engine that will sync contacts to search with minimal delay on any update.
- Implement rules logic and APIs to support queries by multiple criteria
- Implement faceting and full-text search for a specific set of fields (like education, titles, locations)
- Implement suggestions engine for specific set of fields (tags, companies, etc.)
How many people from the vendor's team worked with you, and what were their positions?
Only Sergii
Can you share any measurable outcomes of the project or general feedback about the deliverables?
The engine Sergii built was powering our search for multiple years and was backbone functionality that our users utilized daily. It was handling millions of queries a day and was stable. Sergii did a great job of documenting his work and our internal team was able to support his solution even after our contract has ended.
Describe their project management style, including communication tools and timelines.
We used JIRA for task management and had daily stand-ups 5 times a week. Sergii communicated well about timelines and was overall very easy to work with. Despite the huge size of the project, Sergii split it into chunks and multiple deliverables, so we never had any downtime on production and minimized the risk of feature rollout.
What did you find most impressive or unique about this company?
How much they care about delivering the best result for customers. They went above and beyond to find the best solution and worked very closely with our product team to accommodate for changing requirements.
Are there any areas for improvement or something they could have done differently?
Nothing major. We are very pleased with their work.
abstractR developed a key fucntionaility that the CRM platform has been able to utilize for years. The team documented their work properly which allowed the client's internal teams to streamline support even after the engagement. They were communicative, organized, and overall easy to work with.