Sync Computing

?? Partnership Spotlight??? Sync is proud to partner with Apex Systems, a leader in IT services and solutions. Together, we are set to redefine the landscape of technology and innovation. ?? Learn how this partnership will empower organizations to achieve greater efficiency and cost savings in this post: https://lnkd.in/gXA8sy_q ?

?? Lessons learned from optimizing Databricks SQL Serverless. Our $12K experiment with SQL Serverless and dbt revealed: ? Serverless scaling has limits ? Rules of thumb for optimization don't always apply ? Medium warehouses offer surprising performance Get the full scoop on maximizing your Databricks investment in this post: https://hubs.ly/Q02SsTB50

It's no secret that Databricks default cluster settings aren't always the best for performance. Here's a real user example of when optimized EBS settings got 55% cost and runtime reduction - and even got their runtimes to meet their 2 hr SLA! Gradient custom tunes these settings for each job to achieve optimal performance while maintaining SLAs - going far beyond default settings. Best of all, this happened automatically across thousands of jobs while engineers were busy working on more important tasks. Global heuristics and default settings are designed for the best "general" settings. However, true gains come from customized optimizations for each pipeline, no two are alike. In my opinion, this is the true power of AI - customization at scale. It's a complete game changer when it comes to cloud infrastructure! Give Gradient a shot yourself today to see how automation can save your engineers time and money. Sync Computing #dataengineering #databricks

??Data Engineers, ready to unravel the mystery of Databricks costs? With Gradient by Sync you can see ??Clear breakdown of cloud vs Databricks costs ??High-level ROI metrics across jobs ???♂? In-depth cost analysis per workload Read all about it in this post: https://hubs.ly/Q02YqT4V0

???? We're thrilled to share that Sync is a #NVIDIAInception program member! This collaboration marks a significant milestone in our journey to extend our compute infrastructure management solution from CPUs to also include GPUs for data and AI workloads.??? Read all about it in this post: https://lnkd.in/eRAXiVcu

??? Data Warehouse vs. Data Lake vs. Data Lakehouse Wondering which one to use? We've got you covered! Our latest blog post compares the three data storage options, looking at: ? Key differences between the three ? Pros and cons of each ? Ideal use cases for each Here's everything you need to know: https://hubs.ly/Q02XsJsD0

One of the best parts of the job is seeing Gradient working at scale for customers. Here's a screen shot of gradient optimizing hundreds of Databricks jobs for a single user. In a single day we see hundreds of thousands of dollars being wiped out from a user's potential annual Databricks + cloud spend. It's crazy. The best part is - the algorithm isn't even done yet. More savings are coming. Managing and optimizing jobs to lower costs and hitting SLAs used to be a manual and undesirable task for many data engineers. Gradient's AI automates all of this away so engineers can focus on building new pipelines and managers can stay happy with the efficiency. Sync Computing https://lnkd.in/gxH4eRcp

Get to grips with Azure Databricks pricing with this 2024 pricing guide: ?? Explore various pricing models ?? Discover cost-saving strategies ?? Understand essential considerations for Azure Become an expert in Azure Databricks pricing with our all-inclusive guide: https://hubs.ly/Q02NVwBw0

A leading ad-tech company used Gradient on just 3 of their hundreds of Databricks jobs and got the following results: - Saved over 300 engineering hours by automating the monitoring, testing, and tuning of their clusters - $10K in annual savings - Maintained SLAs despite changing code bases by auto-adapting clusters The power of AI and automation in cloud infrastructure goes way beyond just cost savings. Saving engineering time and mental bandwidth is the major value add Gradient provides. Read the detailed case study here: https://lnkd.in/eFAgvnij Sync Computing

?? Fine-tuning Databricks compute clusters requires finding the right balance between cost and performance. See how to fine tune your clusters for maximum efficiency and savings in this post. ? Strategies for cluster sizing ? Best practices for autoscaling ? Tradeoffs between cost and performance ???? https://hubs.ly/Q02SsjZm0