Operations | Monitoring | ITSM | DevOps | Cloud

The effectiveness of Tableau Salesforce integration depends on one decisive factor: the connector. While Tableau’s native connector is straightforward and offers quick access, it lacks support for complex joins, uses scheduled extracts for refreshes, and doesn’t extend to other BI or ETL platforms. To overcome these constraints, many organizations implement ODBC Drivers, which deliver SQL depth and governance designed for analytics at scale.

In.NET systems, performance is often won or lost on the read path. Every extra database or API call adds latency and cost. Caching fixes that by keeping frequently used data, like product lists or lookups, close to your code, turning slow trips into instant reads. This is not theoretical, it works in the real world. Stack Overflow runs a two-tier cache (in-process + Redis), where a Redis hop takes only 0.2–0.5 ms and local memory reads are effectively instant.

This month’s DataStream update brings meaningful improvements across pipeline management, MSSP workflows, and endpoint visibility. We’ve focused on giving security teams more control over how data moves through their environment, expanding coverage for both Windows and Linux, and strengthening governance for multi-tenant deployments. Let’s walk through what’s new.

Modern engineering teams are shipping more services, managing more complex infrastructure, and moving faster than ever. But this velocity often comes at a cost to the developer experience. Engineers are frequently bogged down by infrastructure complexity, inconsistent tooling, and a lack of clear standards, which leads to cognitive overload and slower cycle times.

FinOps thrives on clarity, and clarity is built on metrics. Metrics give engineering and finance a shared language to understand costs, evaluate trade-offs, and guide innovation. The most impactful metrics go beyond “how much are we spending?” and help us answer: When we measure these things, we stretch beyond tracking progress to fueling it.

(Almost) everyone is using generative AI, and just as many aren’t seeing any benefits. Research firm Gartner calls it the “gen AI paradox” — nearly 80% of companies say they’ve invested in generative solutions, and the same number report no benefits to their bottom line. What’s more, 90% of projects are stuck in pilot mode; ready to take off, but just can’t get up to speed.

Learn what IPsec is, how it works, key protocols and VPN types, and how to combine IPsec with NaaS for secure, scalable network connectivity.

Harness makes software delivery in AWS faster, safer, and more delightful. Harness, the AI Platform for Everything After Code, offers CI/CD, infrastructure-as-code management, and cloud cost management capabilities tailored to the AWS environment. Harness has come a long way since its 2019 debut on the AWS Marketplace. Back then, over half of Harness customers were already running on AWS, and Harness focused on delivering Continuous Delivery as a Service for AWS applications.

Harness Database DevOps was born from a simple question - how can database delivery be as seamless and safe as application delivery? Through deep collaboration with design partners, open-source learnings, and relentless iteration, the team built a platform that unites developers, DBAs, and DevOps under a single, automated workflow. At its core, it’s a story of empathy-driven engineering - transforming database change management into a faster, more reliable, and collaborative experience.

Shai-Hulud 2.0 shows how quickly a compromised maintainer account can result in thousands of infected NPM packages and repositories within hours. Harness SCS provides end-to-end SBOM visibility, policy enforcement to block compromised NPM packages, and complete traceability to detect malicious components early and prevent them from entering your pipelines.