Next Pathway Inc., the automated cloud migration company, is unveiling SHIFT Cloud, a self-service approach to legacy code translation. After expressing the desire for a more individualistic and customer-centric strategy for code translation, Next Pathway’s client base will be able to witness SHIFT Cloud’s highly flexible and streamlined translation process for themselves.
Previously unavailable to users, Next Pathway is offering their translation technology to their client base in an effort to deliver the same level of operation to the end-user. Not only is it a self-service solution, it’s also fast; SHIFT Cloud rivals the time it takes for other translation tools on the market, cutting years down to hours, according to the vendor.
“Companies have invested years in developing legacy applications; moving these to the cloud was previously time-intensive and expensive, often leaving the customer with partially translated files,” said Chetan Mathur, CEO of Next Pathway. “Our entire focus at Next Pathway is to build the best and most innovative products to accelerate and simplify the end-to-end migration to the cloud. Our technology does all the heavy lifting, so you don't have to.”
Mathur explained that customers are “really going to have an opportunity to use our technology to greatly accelerate their journey to the cloud. So, instead of having these multi-year, multi-million dollar projects, through the use of our technology, they're going to be able to get to the cloud a lot faster.”
By uploading their entire legacy code base, such as SQL code and ETL pipelines, SHIFT Cloud users will be able to leverage its self-service architecture to comprehensively analyze and translate their complex workloads to cloud targets. The solution can be accessed either as a SaaS model or deployed directly into the user’s environment, allotting more control over the migration journey to the customer.
The process is simple, boiling down to just three steps: upload, analyze, and translate.
Users select the legacy files for code translation, directly uploading them to SHIFT Cloud. The solution supports numerous legacy sources, including Teradta, Netezza, SQL Server, Hive, and Oracle, as well as DB2 plus ETL pipelines such as DataStage and SSIS.
The legacy files are then automatically scanned to highlight the total composition of the objects, deriving the expected automatic code translation based on the chosen cloud destination. The Analyzer Report feature offers a comprehensive inventory of all code objects, such as line counts by object type and any exceptions to the cloud target, by reviewing the legacy source system’s size.
“We can analyze a million lines of code in minutes—some 30 minutes—and produce a very beautiful and detailed analyzer report,” said Mathur. “It gives you what was translated, and it gives you a list of things that couldn't be translated.”
Anything not able to be translated is typically due to the target cloud not supporting certain functions or features that the legacy system did; SHIFT Cloud calls that out for you, Mathur explained.
Finally, the legacy files enter the translation phase. With simplicity akin to tools like Google Translate, SHIFT Cloud auto-translates SQL code and ETL pipelines to cloud targets, including Snowflake, Azure Synapse, Azure Data Factory, AWS RedShift, and Google BigQuery. The status of translation is continuously viewable by the user, further notifying them when the translation has been completed. Following its completion, users can view both the original and translated source code in a side-by-side UI.
Ultimately, SHIFT Cloud can reduce translation speed, empowering faster migrations despite complexity associated with stored procedures and intricate ETL pipelines.
“We've really made this very simple to use. And we're also very excited about the performance,” emphasized Mathur. “We're able to generate and analyze your reports in 5-10 minutes of hundreds of thousands of lines of code, and we can translate millions of lines of code in hours.”
For more information about SHIFT Cloud, please visit https://www.nextpathway.com/.