Kubernetes defense in focus as Dynatrace rolls with Runecast tech
Kubernetes’ quick rise to prominence in cloud computing may have left a few holes in applications’ defenses. That is something Dynatrace looks to address with Kubernetes Security Posture Management (KSPM) software. It’s said to employ observability data to enable quick response and mitigation of risks.
Dynatrace has a lineage when it comes to AI, originally arising out of the movement that placed AI agents on network nodes in order to track activity. KSPM employs Dynatrace’s Davis hypermodal AI which combines predictive AI, Causal AI and Generative AI methods. The company said KSPM, thus accoutered, can ably convey immediate context for decision making as threats occur.
The company said KSPM follows the integration of Runecast cloud native technology into the Dynatrace platform following the company’s successful acquisition earlier this year. Runecast technology supports continuous Kubernetes vulnerability scans, security compliance based on best practices, and remediation recommendations.
AI continues to find renewed influence in the observability space. Updates are coming quickly, as this follow latest follows up on Dynatrace’s January roll-out of AI Observability extensions for large language models (LLMs).
StarTree Cloud extends observability
StarTree Cloud gains new observability and anomaly detection capabilities as well as vector search capabilities for its underlying Apache Pinot database engine with a new release reported by StarTree.
StarTree offers these services to customers of a cloud-based database-as-a-service that is specially targeting analytics jobs. Like Confluent, StarTree arose out of the open-source activity of LinkedIn during the 2010s.
While Confluent has focused most effectively on data ingestion, StarTree has concentrated on data analytics, based on an implementation of the Pinot OLAP distributed columnar database.
The StarTree product suite is said to serve user-facing applications where a broad user base can query real-time data. The company noted DoorDash as a customer in this regard. The company said it partners with cloud and big data players such as AWS, Google Cloud, Microsoft, Confluent, Databricks and others in customer engagements.
The observability functionality new to the platform should allow StarTree users, serving as developers or system administrators, to troubleshoot issues that arise within their cloud-based applications.
StarTree announced the general availability of StarTree ThirdEye software, offering multidimensional anomaly detection. As well, a write API supporting real-time sync for ELT pipelines such as Debezium, Fivetran, or dbt , is now in “private preview,” and integrations with visualization platforms, including Tableau and Grafana are available now.
Like others, StarTree is bringing nearest-neighbor vector search capabilities to its users, as well as users of the open-source Apache Pinot project.
Besides DoorDash, StarTree cites customers such as Citi, Stripe, Nubank, and Zomato. For its part, in March, Citi announced a strategic investment in StarTree.
At the time, Katya Chupryna, Director, Markets Strategic Investments at Citi marked StarTree and the underlying Pinot engine for speed of data ingestion.
“User-facing analytics have seen profound growth in recent years across all industries, accelerating the need for enterprise-ready, real-time data solutions. StarTree and Pinot’s speed of ingestion is unmatched on complex queries over rapidly changing data,” Chupruna said.
Also on tap
Cisco announced a virtual appliance for its AppDynamics On-Premises application observability offering. It’s aimed at users looking for customer-managed observability for on-premises deployments or cloud-based deployments where the customer retains control of all data and associated operations. AI-Powered Detection and Remediation with Cisco’s Cognition Engine is said to speed anomaly detection and root cause analysis … Riverbed announced Riverbed Unified Agent which allows IT to add SaaS-delivered visibility modules – for example, for end user experience and network monitoring – without adding more agents. Riverbed’s Platform initially launches with approximately 35 pre-built application integrations for third-parties including ServiceNow, Dynatrace, AppDynamics and DataDog. A Topology Viewer generates dynamic mapping of connected devices, while Riverbed NPM+, using the Riverbed Unified Agent, is said to overcome network blind spots created by remote work, public cloud, and encrypted architectures such as Zero Trust environments. This, while extending packet visibility to collected decrypted data at every user and server endpoint, including gaps such as encrypted tunnels in Zero Trust architectures. [PG]