
Security Flaws in Anthropic’s Claude Code Risk Stolen Data, System Takeover
Three critical vulnerabilities found in Anthropic’s Claude Code agentic AI developer tool could be exploited simply by cloning and opening an untrusted project and lead to system takeover, stolen API keys, and credential theft, according to security researchers with Check Point. The security flaws, which Anthropic fixed last year and last month after the researchers […]

Sawmills Emerges From Stealth to Apply AI to Managing Telemetry Data
Sawmills today emerged from stealth to launch a platform that makes use of artificial intelligence (AI) models to manage telemetry data more cost-effectively.

North Korea’s Lazarus Group Targets Developers, Supply Chain
North Korea’s notorious Lazarus Group is using an advanced malicious implant to target cryptocurrency wallets and spreading it via legitimate GitHub profile and possibly through npm packages. The ongoing campaign, dubbed Operation Marstech Mayhem, is the example of a threat group using open-source code repositories like GitHub, npm, and Python Package Index (PyPI) in software supply […]

Data Pipeline Modernization in 2025 Hinges on Unifying DevOps, DataOps and Database Workflows
Data pipelines are growing exponentially larger and more complex every year, thanks to artificial intelligence (AI)/machine learning (ML) and other data-centric innovations.

Optimizing ETL Testing for Enhanced Data Quality and Reliability
This blog highlights the best practices, common challenges and innovative solutions for optimizing ETL testing, helping you safeguard the integrity of your data and make decisions with confidence.

Navigating Agile Waters: Why Integrating Copilot Demands Methodological Adjustments
Changes to agile methodology are inevitable because GenAI and Agile are providing real competitive advantages.

CISA: Critical Jenkins Flaw Exploited in Ransomware Attacks
The security vulnerability in the popular open-source development tool helps threat actors gain initial access into victims’ systems.

AIOps Success Requires Synthetic Internet Telemetry Data
The data used to train AI models needs to reflect the production environments where applications are deployed.

Sumo Logic Eliminates Ingest Fees for Observability Log Data
Sumo Logic will no longer charge a fee for ingesting log data into its observability platform to encourage DevOps teams to apply analytics more deeply.

Techstrong Research PulseMeter: Caching Transforms Application Performance
The Techstrong Research PulseMeter report underscores the critical role of database caching in supporting real-time applications and digital experience delivery.

JFrog Extends MLOps Integration Efforts via Qwak Alliance
JFrog’s integration with Qwak’s MLOps platform will advance collaboration between teams building and deploying multiple classes of software artifacts.

What the Evolution of Specialized Hardware for AI and ML Means for DevOps
DevOps teams should consider a number of different strategies to ensure apps remain efficient and portable across various chip architectures.

How Can DevOps Teams Use Customer Intelligence Data?
DevOps can use the insights drawn from customer intelligence in addition to its use informing business strategy, product development and marketing.

DevOps Guide to Java Profiling
By using a Java profiler, developers can gain a deep understanding of the application’s performance characteristics and identify potential areas for optimization.

Dynatrace Extends Data Reach and Scope of Observability Platform
Dynatrace unfurled a Dynatrace OpenPipeline that makes it possible to apply analytics to multiple types of data sources in real time.

2024 Infrastructure Tech Predictions
From the death of the modern data stack sprawl to the birth of generative AI, 2024 represents the beginning of a new era in infrastructure tech.

Navigating the Hybrid Cloud Maze: Overcoming Adoption Hurdles
Hybrid clouds cater to the strategic shift toward more agile, responsive and cost-effective IT operations.

Navigating the Multi-Cloud Ecosystem
Multi-cloud environments involve businesses using services from multiple cloud providers to meet diverse operational needs.

Implementing Data Analytics in Multi-Cloud Environments
The dynamic nature of data analytics workloads, coupled with data transfer expenses between multiple clouds, contributes to complexity.

Running MongoDB on AWS: A Practical Guide
Many organizations are opting to run MongoDB in the AWS cloud to gain improved scalability and reliability for their MongoDB deployment.

How Supergraphs Help Consolidate Data Access
If used to aggregate various data sources and APIs into a unified graph, GraphQL could become ‘one schema to rule them all’ for enterprises.

KubeCon 2023: Telemetry and Data Management
Alan Shimel talks with Mezmo’s Tucker Callaway about observability, data management and the challenges of too much telemetry data.

Data Observability and its Importance: Everything you Need to Know
If you want to modernize your data management practices and improve your data quality, data observability is the way forward.
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