Systems | Development | Analytics | API | Testing

dreamfactory

AI Connection Pooling Best Practices | DreamFactory

Apr 22, 2026 By Nic Davidson In DreamFactory
Key takeaways: For AI workloads, pooling must handle long connection hold times and heavy traffic. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough. Combined with tools like PgBouncer, these solutions free connections faster and improve scalability. Simple tweaks, such as segmenting pools and setting timeouts, can boost efficiency.
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tricentis

Why traditional QA metrics fall short as AI enters the pipeline

Apr 22, 2026 By Kateryna Gandzeichuk In Tricentis
Take this scenario: Your team ships a release with 91% code coverage. Every test in the suite passes. The pipeline is green, and leadership signs off. But two days later, a critical defect surfaces in production. Upon investigation, you find that the changed code was never actually tested, and the tests that were run covered different paths entirely. That 91% was real, but it was just measuring the wrong thing. And as AI tools generate more of the code inside those pipelines, the gap widens.
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yellowfin

On-Prem and Private Cloud Deployment Models for Analytics

Apr 22, 2026 By Hagop Panosian In Yellowfin
Leadership keeps asking for more dashboards, faster answers, and tighter compliance. The data team hears a different message: do more with the same staff (or, fewer). That is where the difficulty evaluating on-prem and private cloud deployment models for corporate data analytics and visualization solutions starts to bite.
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perforce

How Redundant Data Storage May Be Hurting Both Your Bottom Line and the Environment

Apr 22, 2026 By Perforce In Perforce
Unaccounted data copies within non-production environments can make enterprises vulnerable to cyber theft. Non-production environments — which are often less secure than production environments — are treasure troves for hackers seeking to steal customer data. How many copies of test data are currently floating around your organization’s non-production environments?
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thoughtspot

Why Enterprise AI Can Get the Query Right and the Answer Wrong

Apr 22, 2026 By Antonio Scaramuzzino In ThoughtSpot
Most teams deploying AI agents on their data are watching the wrong things. They check whether the query ran and whether the number looks plausible. When both checks pass, the agent gets credit for a correct answer, and the output flows into dashboards, decisions, and the next agent in the chain. There's a gap between those two checks and actual correctness, and it's where the expensive mistakes live. Getting to a correct answer requires more than a formally valid calculation.
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IBM Vault Alternatives to Consider in 2026

IBM Vault Alternatives to Consider in 2026

Apr 22, 2026 By SystemsDigest In SystemsDigest
HashiCorp Vault (now also referred to as IBM Vault or IBM HCP Vault) has been a default secrets management choice in engineering-heavy organizations for nearly a decade. However IBM's acquisition of HashiCorp has prompted a wave of reassessment and led to consideration of other tools like SplitSecure which are likely more cost effective for most orgs. . IBM has a mixed record of supporting acquired products over the long term. Roadmap direction, licensing changes, and support responsiveness are all open questions for customers planning multi-year deployments.
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thoughtspot

SpotDevOps: Building an AI-Native SDLC Platform at ThoughtSpot

Apr 21, 2026 By Ashok Anand In ThoughtSpot
4,096 Tasks completed 89.8% success rate 302 Active users 4× growth Jan→Mar 86 Agents deployed 73 built by engineers 72 days In production 15,896 messages Modern engineering teams face a familiar paradox: the bigger the system, the more time engineers spend managing the work rather than doing it. Bugs pile up faster than they can be triaged. PRs wait days for review. On-call engineers spend hours reproducing what someone already debugged six months ago.
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Get work done in one place with Snowflake Intelligence

Apr 21, 2026 By Snowflake Inc. In Snowflake
See how Snowflake Intelligence transforms everyday work with a personal work agent built on your enterprise data. In this demo, a sales leader goes from insights to action in minutes—analyzing accounts, preparing meeting briefs, collaborating via Slack, and uncovering root causes with Deep Research—all in one seamless, governed experience.
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