A privately held company that was founded far back in 1889. It specializes in public warehousing, cold storage, transportation, dry warehousing, and dedicated distribution facilities.
The Innovecs team has recovered the WMS codebase. The codebase was revamped, which increased deployment speed by 8 times. The team is integrating new project features into the system. Their goal is to do an Oracle conversion. For this, the client has formed a sub-team within Innovecs solely focused on performance.
Migration to IBM WebSphere for Linux to improve WMS operation and decrease the deployment speed from 2 hours to 15 minutes.
Reduced amount of calls to the database to accelerate its work. This was implemented to store the rarely changing data in the cache and speed up the entire software development process.
Moving from JSP to Single Page Application (Angular) happened to be an optimal solution for displaying all the loaded data, which is simple to navigate for users and developers.
Challenge: The production is deployed in both the East and West client’s country regions to reduce network latency for customers. The topology consists of application and DB instances spread across these regions. There’s a requirement for certain data to be shared across regions, and in the event of a region failure, users should be rerouted to another region without any data loss.
Resolution: We developed a tool synchronizing data between the East and West regions. This tool replicates data changes bidirectionally between servers in both regions with minimal latency. Post-implementation, it was also configured to replicate one-way to create a copy of the DB. This allows us to execute resource-intensive tasks without disturbing main DB users.
Challenge: Due to replication latency between the East and West regions, sysids generated independently in each region can occasionally fall out of sync, leading to duplicate sysids.
Resolution: We addressed this by assigning odd and even sequences exclusively to each region.
Challenge: Repeatedly reading user settings and certain object properties from the DB during application runtime was causing significant performance degradation.
Resolution: We implemented Hazelcast for caching settings and properties, resulting in improved application performance.
Challenge: Developers require a DB instance for debugging. Using separate Oracle Cloud instances proved costly and underperforming, while a single instance led to database deadlock exceptions and unpredictable results when used by multiple developers simultaneously. Remote instances also required internet and VPN connections for access.
Resolution: We containerized the DB for local debugging. This allows each developer to use their own data without interference, and it’s faster, simpler to run, and can operate offline.
Challenge: Several application flows generate files that need to be readily accessible to users.
Resolution: We consolidated the process of document generation, storage, and email using a custom solution based on OCI Object Storage.
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