Tag: splunk observability AI

  • OllyList Weekly – July 28, 2025

    OllyList Weekly – July 28, 2025

    Here’s your weekly digest of observability‑market headlines (week ending July 25 2025). The pace of innovation remained high as vendors paired AI with new features and customers looked for concrete results. Platforms announced autonomous‑intelligence capabilities, FinOps tools, greener infrastructure and deeper end‑to‑end observability. Customers also shared success stories, showing how modern observability slashes downtime and costs.

    • Dynatrace launches next‑gen “autonomous intelligence” platform – Dynatrace unveiled upgrades to its third‑generation observability platform built on the Grail lakehouse. The release adds an agentic AI assistant that guides troubleshooting and auto‑remediation, integrates business‑data context via the Model Context Protocol (MCP), improves log management with flexible pricing and petabyte‑scale ingest, and accelerates app development – view source.
    • Aviz Networks invites enterprises to test Deep Network Observability (DNO) Interop – On July 21, Aviz announced a program letting customers validate a software‑first observability stack across datacenter, edge and AI fabrics. The DNO Interop offers AI‑powered insights through Network Copilot (a large‑language‑model‑based assistant), an open packet broker and an Aviz Service Node. Participants can test use‑cases on heterogeneous hardware, see AI‑powered conversational workflows and receive TCO/migration reports – view source.
    • Splunk Observability Cloud July release: archiving, unified identity and AI assistant expansion – Splunk’s July release introduces a “Related Content” preview inside Splunk Platform searches, a quick‑access action button for alerts, and automated archival that sends unused metrics to a low‑cost tier (~10 % of normal cost). Other highlights include a new Data Management overview tab, homepage alert‑trend history, default connection settings for unified identity, expanded AI Assistant availability in the EU and Japan, and preview programs for database monitoring and multi‑org management – view source.
    • BigPanda report: noise overwhelms observability tools – BigPanda analyzed telemetry from 130 enterprises and found they send an average of 9.6 million observability events per year but act on fewer than 18 % of them. The report notes that more tools don’t mean more value; enterprises average over 20 monitoring products, yet open‑source platforms often produce low‑quality signals. Weekend alerts account for 27 % of events, suggesting opportunities to consolidate tooling and reduce alert fatigue – view source.
    • NETSCOUT cuts energy use in InfiniStreamNG by 23 % – NETSCOUT announced it has optimized its InfiniStreamNG observability appliances to reduce electricity consumption by an average of 23 % across more than 500 devices. By consolidating compute and storage functions and using intelligent data processing, customers can lower rack‑space requirements and energy costs. NETSCOUT’s Ray Jones said the efficiency improvements help organizations meet sustainability goals while maintaining comprehensive network visibility – view source.
    • Cribl introduces FinOps Center to track telemetry value – Cribl launched FinOps Center, a capability within Cribl.Cloud that gives administrators a unified view of how telemetry data flows through systems and what it costs. Available immediately, the tool provides change‑detection and spend‑tracking, granular usage insights, flexible time‑range filters and detailed billing, aiming to help finance and technical teams understand the return on telemetry investments – view source.
    • OpenText Cloud Editions 25.3 brings generative‑AI service management – OpenText released Cloud Editions (CE) 25.3, bundling AI assistants, developer‑productivity tools, cloud‑native platforms and cybersecurity enhancements. A standout feature is OpenText Core Service Management, which uses a generative‑AI virtual agent for self‑service, automated workflows and contextual guidance; it aims to reduce call volumes and accelerate issue resolution without developer intervention – view source.
    • Datadog customer ROLLER saves 60 % on cloud costs with unified observability – Australian attractions‑software firm ROLLER consolidated multiple tools onto Datadog’s observability and security platform, improving availability and cutting cloud compute costs by ~60 %. Datadog’s unified view allowed the small team to troubleshoot faster, reducing mean time to remediation by 99 % and helping the company meet service‑level agreements – view source.
    • Telmai becomes the data‑trust layer for agentic‑AI lakehouses – Data quality platform Telmai reported strong enterprise adoption as organizations deploy “agentic AI” and open table formats (Apache Iceberg, Delta Lake). PropertyGuru and a leading fintech selected Telmai to monitor data reliability across multi‑cloud lakehouse environments; Telmai provides AI‑driven anomaly detection and real‑time remediation, enabling proactive data governance – view source.

    These developments illustrate how the observability ecosystem is evolving. Vendors are integrating generative and agentic AI, focusing on cost and energy efficiency, and bridging gaps between data quality, service management and financial accountability.