At Salesforce, we operate thousands of services of various sizes: monolith and micro-services, both customer-facing and internal, across multiple substrates, i.e. first party and public cloud infrastructure. In our earlier blog “READS: Service Health Metrics,” we talked about the Service Level Objective (SLO) framework called READS that we developed Salesforce to standardize SLO tracking for […]| Salesforce Engineering Blog
Go behind the scenes with Salesforce’s big data processing team in India to learn how they engineer Data Cloud.| Salesforce Engineering Blog
Learn how Salesforce transformed Apache Phoenix to handle flexible, document-style data while retaining its core strength as a high-scale SQL database.| Salesforce Engineering Blog
Learn how Salesforce managed a sudden 5x traffic surge, addressed autoscaling challenges, and supported billions of daily requests across 25 AWS regions.| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Phil Mui, SVP of Agentforce Software Engineering. Phil and his team led the development of Agent Graph, the core technology behind hybrid reasoning. This groundbreaking approach externalizes reasoning into design-time graphs, ensuring reliable behavior (enterprise “Standard Operating […] The post Agentforce’s Agent Graph: Toward Guided Determinism wi...| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Hari Priyanka Nunna, Director of Software Engineering for Data Cloud. Hari led her team in developing Data Cloud One, a distributed systems solution that allows enterprise customers to connect multiple Salesforce orgs to a single Data Cloud […] The post Creating Data Cloud One: Enterprise Metadata Synchronization Across 850+ Orgs in Days, Not Weeks appea...| Salesforce Engineering Blog
By Rajeev Kumar and Bhargava Ravali Koganti. In our “Engineering Energizers” Q&A series, we shine a spotlight on the innovative engineers at Salesforce. Today, we feature Bhargava Ravali Koganti, a Lead Software Engineer who is part of Data Cloud’s data governance system. Her team developed Data Cloud’s first comprehensive unstructured security system. This system automatically […] The post Building Data Cloud’s New Unstructured Data Governance: Automated PII Detection at Enterpri...| Salesforce Engineering Blog
By Vaibhav Raizada and Ashish Gite. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Vaibhav Raizada, a Senior Software Engineer building Salesforce Prompt Builder. Vaibhav led his team in developing multimodal AI capabilities that unlock file-based data previously invisible to Prompt Builder. Discover how the […] The post Engineering Real-Time Multimodal AI Pipelines: Scaling File Processing to 50M Daily...| Salesforce Engineering Blog
Learn how Salesforce reverse-engineered Amazon’s most scalable and powerful 15-year-old database APIs, built highly scalable features, and much more.| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Andrew Patti, Senior Manager of Software Engineering for Salesforce Personalization. Andrew and his team developed the first Data Cloud-native ML recommendations system. Discover how they engineered this flexible schema, adopted a unique multi-cluster architecture, and implemented automated […] The post Revolutionizing Data Cloud: Unleashing the Power of...| Salesforce Engineering Blog
By Kristin Foss, Jason Nassi, and Vincent Nordell. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, meet Kristin Foss, VP of Software Engineering for Customer Centric Engineering (CCE), who led her 180-person Engineering team to revolutionize customer escalations with AI-powered agents and automation tools. Discover how they […] The post How AI Tools Cut Customer Escalation Time: From Days of Manual Work to Minut...| Salesforce Engineering Blog
Discover how Salesforce maintained three runtime generations at once, transitioned from proprietary technologies to open source standards, and more!| Salesforce Engineering Blog
Explore how the Einstein team overcomes tough technical challenges and pioneers exciting new features — giving developers on platform the critical edge for taking their game to the next level.| Salesforce Engineering Blog
Explore how Salesforce enhances customer service with RAG integrated within Data Cloud, enabling efficient information retrieval and generation.| Salesforce Engineering Blog
By Aya Yohanan-Rokach and Vivienne Wei. How do you enable thousands of engineers to adopt AI tools at a 94% rate while maintaining enterprise security and reliability? Salesforce achieved this by operationalizing AI productivity at scale and fostering an AI-native engineering culture, with a critical focus on operational trust. “Trust is our number one value […] The post The Trust Foundation: How Unified Agentforce Platform’s Operational Excellence Unlocks Rapid AI Adoption appeared fir...| Salesforce Engineering Blog
Discover how Salesforce redesigned a critical network path to enhance scalability for migration of over 90% of customer traffic to Hyperforce.| Salesforce Engineering Blog
Explore how Salesforce fended off DDoS attacks of up to 1.6 terabytes per second from 2 million unique IP addresses in 130 countries and much more.| Salesforce Engineering Blog
Discover how Salesforce removed cultural barriers to AI adoption, addressed technical hurdles in large-scale codebases, and much more.| Salesforce Engineering Blog
Discover how Salesforce optimized retrieval performance, enhanced AI accuracy, and built a secure, scalable, and highly available system.| Salesforce Engineering Blog
Discover how Salesforce optimized metadata interpretation and AI accuracy, reducing execution time from 10 minutes to just 10 seconds.| Salesforce Engineering Blog
Explore Einstein's team's initial LLM latency challenges, their selection of Amazon SageMaker, and the resulting performance gains.| Salesforce Engineering Blog
Learn how Salesforce reduced AI infrastructure costs, and improved GPU utilization across various AI workloads, and much more.| Salesforce Engineering Blog
Learn how Salesforce tackles challenges like balancing throughput and latency, ensuring secure AI deployments with AWS SageMaker, and more.| Salesforce Engineering Blog
Learn how Salesforce tackled GPU onboarding delays, integrated Bedrock, and addressed key reliability and security issues.| Salesforce Engineering Blog
Learn how Salesforce's new similarity model identifies incident commonalities, preventing alert overload and facilitating effective resolution processes.| Salesforce Engineering Blog
Explore Zero Copy, which transforms how Salesforce interacts with external data, enabling real-time analysis without the need for data migration.| Salesforce Engineering Blog
Learn how Salesforce scales their systems to handle billions of records and optimizes data retrieval speeds to provide fast lookups.| Salesforce Engineering Blog
Learn how Salesforce developed an AI-powered Test Failure (TF) Triage Agent, transforming how developers manage test failures.| Salesforce Engineering Blog
Learn how Salesforce's Data Cloud team revolutionized indexing to bypass ElasticSearch limitations, introduced a dual-phase fuzzy matching system, and more.| Salesforce Engineering Blog
Learn how Salesforce tackled the challenges of scaling AI agents, implementing modular updates without disrupting functionality, and more.| Salesforce Engineering Blog
Discover how Agentforce combines agentic AI, multi-agent collaboration, and real-time observability to drive 1B predictions daily at enterprise scale.| Salesforce Engineering Blog
Learn how Salesforce tackled the complexities of reasoning across highly customized orgs, addressed latency and scalability issues, and more.| Salesforce Engineering Blog
How the Data Spaces team built structured security for 300,000 orgs, solved complex scaling challenges, and enforced cross-platform data governance.| Salesforce Engineering Blog
Discover how Salesforce reengineered Data Cloud to support Agentforce, AI grounding, and real-time activation across 100K tenants and 1,000+ domains.| Salesforce Engineering Blog
Learn how Data Cloud Engineering handles challenges in managing unstructured data, from processing multiple data formats to resolving scalability concerns.| Salesforce Engineering Blog
Explore Salesforce Engineering's CodeGenie, an internal IDE tool that boosts productivity by supporting multiple languages.| Salesforce Engineering Blog
Discover how Agentforce was engineered to orchestrate modular, multi-model AI agents for safe, scalable deployment in enterprise environments.| Salesforce Engineering Blog
Discover how Salesforce created dynamic retrieval systems that balance precision and speed by adjusting query complexity and much more.| Salesforce Engineering Blog
Discover how Salesforce overcame complex developmental obstacles that helped ensure a seamless transition to Hyperforce for Salesforce teams.| Salesforce Engineering Blog
Learn how Salesforce overcame complex challenges and developed proprietary innovations that facilitated the transition of workloads to Kubernetes.| Salesforce Engineering Blog
Learn how Data Cloud optimizes platform scalability, reduces processing times, and more to deliver high-performance solutions.| Salesforce Engineering Blog
Discover how the Hyperforce team managed the Hyperforce migration and integrated AI to enhance performance, UX, and incident prevention.| Salesforce Engineering Blog
Learn how Salesforce tackles significant scalability challenges to unlock deeper insights for Salesforce customers.| Salesforce Engineering Blog
Learn how Salesforce's cross-cloud Scrum team built Einstein for Flow, a game-changing AI product that revolutionizes Salesforce workflow automation.| Salesforce Engineering Blog
We analyzed user email open and click behaviors across hundreds of billions of emails to build an algorithm for send time optimization.| Salesforce Engineering Blog
