Blogs
Explore the Crest Data blog for the best insights on AI, MLOps, and observability. Learn how cloud-native strategies drive sustainable enterprise growth.
The Future of Secure Workflow Automation: What to Expect in 2026
Explore the future of secure workflow automation in 2026, including agentic AI, autonomous workflows, orchestration, governance, and cloud-first automation strategies.
Top 5 Cybersecurity and AI Trends Driving Enterprise Security Strategies in 2026
In 2026, enterprise security faces an agentic reality where AI outpaces humans. Explore the top cybersecurity and AI trends shaping where to automate, where to lead, and how to stay secure.
Inside the SOC: The 6 Phases that Keep Your Business Secure
Discover the 6 critical SOC lifecycle phases that improve detection, response, and resilience. Learn how integrated SIEM, SOAR, and UEBA enhance security operations.
Accelerated Migrations of Operational and Security Data to Amazon CloudWatch
Crest Data achieves AWS Cloud Operations Competency in Monitoring and Observability, delivering up to 60% faster, cost-efficient migrations to Amazon CloudWatch with AI-led automation and deep AWS expertise.
AI Agents: Transforming Enterprise Operations
Discover how AI agents are revolutionizing enterprise operations by automating tasks, improving efficiency, and enabling smarter decision-making.
Top 10 Compelling Reasons to Automate Your Migration to Datadog
Discover the top 10 reasons why automating your migration to Datadog is the smarter move. Learn how automation cuts costs, reduces complexity, and accelerates your path to unified observability and security.
Crest Data Launches a Migration Acceleration Service for Datadog
Crest Data, a leading technology solutions provider specializing in Security, Observability, Data Analytics, AI/GenAI, and Cloud, today announced the launch of its Migration Acceleration Service for Datadog. This offering helps customers rapidly…
Analyzing Open-Source Package Sustainability: Part 4 – From Clustering to Classification
In this blog, we'll walk you through our transition to supervised classification, share how we tackled some intriguing challenges, and reveal how we expanded our model to handle multiple ecosystems. Whether you're a data science enthusiast or a curious ML developer, there's something here for everyone!
Analyzing Open-Source Package Sustainability: Part 3 – Focusing on Data Preprocessing
Effective data preprocessing is key to reducing outliers and unlocking the true potential of open-source sustainability insights.In this blog we’ll walk you through cleaning and scaling the collected data in order to address issues like missing or inconsistent information, transform data into a suitable format, and create composite metrics to better assess the sustainability of open-source packages.
