
Calsoft is a leading software product engineering services company specializing in #Storage, #Networking, #Virtualization, #Cloud and #IoT #Analytics domains.
San Jose, CA
Joined May 2010
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One framework. Every region. 75% faster failover validation. 60%+ fewer manual recovery steps. Download the case study:
na2.hubs.ly/H08GkRh0
#DisasterRecovery #CloudResilience
43% of breached organizations had a shadow AI incident, up from 20% (IBM, 2026). Recurring problems (governance, evaluation, testing, migration) deserve reusable engineering. Pilot first.
na2.hubs.ly/H08D-vb0
#AI
Migrating from NSX-V to NSX-T? Don't overlook the differences.
From architecture and security to automation and scalability, know what changes before you migrate: na2.hubs.ly/H08DZNK0
#NSX #NetworkVirtualization #TechnologyFirst
Security should not be the final checkpoint in software development.
Discover the best practices to detect vulnerabilities early, strengthen code security, and build safer applications: na2.hubs.ly/H08D_l30
#SoftwareSecurity #TechnologyFirst
Cloud-ready apps tend to share a few habits: stateless design, session data in persistent storage, and centralized logging instead of file-based logs. na2.hubs.ly/H08BQtq0
#CloudNative #DevOps #TechnologyFirst
𝗠𝗘𝗖 isn’t only about lower latency. It lets operators expose network capabilities and context to third-party applications, which opens up new business models. na2.hubs.ly/H08BQs-0
#MEC #Telecom #TechnologyFirst
Where to begin with a supply chain digital twin: one warehouse or lane with strong sensor coverage. Prove ROI before fidelity. Scale gradually: data maturity first, automation second.
na2.hubs.ly/H08BQh_0
#DigitalTwin
Provisioning makes infrastructure available. Configuration sets it up. Automation handles repetitive tasks. Orchestration strings those tasks into one workflow. na2.hubs.ly/H08BQl30
#IaC #DevOps #TechnologyFirst
Go’s garbage collector kicks in at a threshold set by 𝗚𝗢𝗚𝗖, default 100. Raise it for fewer collections and more memory use, or lower it for the opposite. na2.hubs.ly/H08BQnh0
#Golang #GarbageCollection #TechnologyFirst
Unit tests catch flaws before code is integrated, when they’re cheapest to fix. Mocks keep each test focused on one unit by replacing everything it depends on. na2.hubs.ly/H08BQn10
#Java #Mockito #TechnologyFirst
QA isn’t just a test plan. It’s five decisions: who pays for defects, which vendor you can leave, how much regression guards releases, gate or engine, who owns audit evidence. na2.hubs.ly/H08BQc80
#QualityAssurance
AI workloads that process massive datasets in real time need low-latency storage. That’s why SSDs are the preferred choice for AI-focused hardware. na2.hubs.ly/H08BNWC0
#AIInfrastructure #SSD #TechnologyFirst
Planning AI infrastructure?
Avoid 5 mistakes:
• Ignoring data readiness
• Misjudging compute
• Overlooking storage
• Delaying security
• Underestimating costs
Read more: na2.hubs.ly/H08wZMs0
AI can't scale on fragmented data.
Reusable data foundations bring quality, governance, and lineage together—helping enterprises support analytics and AI without rebuilding from scratch.
Explore the report: na2.hubs.ly/H08wZC-0
Third parties were involved in 48% of breaches (Verizon DBIR 2026). Automate pipeline controls: policy checks, dependency lineage, access control, vulnerability scoring. na2.hubs.ly/H08wWNB0
#DevSecOps
Beyond encryption: data masking swaps sensitive values for dummy ones in test environments, and redaction hides sensitive fields from users who shouldn’t see them. na2.hubs.ly/H08y1wv0
#DataSecurity #DataStorage #TechnologyFirst
Monitoring isn’t the same as measuring. 𝗙𝗼𝘂𝗿 𝗞𝗣𝗜𝘀 worth tracking: first call resolution, mean time between failures, mean time to restore, and customer satisfaction. na2.hubs.ly/H08y1sk0
#NOC #ITOperations #TechnologyFirst
A backup you’ve never tested is a guess. 𝗦𝘁𝗲𝗽 𝘀𝗲𝘃𝗲𝗻: test regularly and set clear RPO and RTO targets, meaning how much data you can lose and how long you can be down. na2.hubs.ly/H08y1r-0 #NetworkSecurity #Backup #TechnologyFirst
𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱? 𝗪𝗵𝘆? 𝗪𝗵𝗮𝘁 𝗺𝗶𝗴𝗵𝘁 𝗵𝗮𝗽𝗽𝗲𝗻? 𝗪𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝗱𝗼? Descriptive, diagnostic, predictive, and prescriptive analytics each answer one. All four depend on data quality. na2.hubs.ly/H08y1qx0
#DataAnalytics #TechnologyFirst
#Encryption protects data at rest and in transit. Tokenization swaps confidential values for non-sensitive tokens, so a leaked token carries no sensitive data. na2.hubs.ly/H08y1ly0
#CloudSecurity #TechnologyFirst








