CIO Influence
AIOps CIO Influence News Security

Senser Enhances Enterprises’ Production Performance with End-to-End SLA/SLO Management Suite

Senser Enhances Enterprises' Production Performance with End-to-End SLA/SLO Management Suite

AIOps observability platform helps DevOps and SRE teams proactively improve service performance with new AI-powered tools

Senser, the pioneer of zero-instrumentation production intelligence, announced the launch of their AI-powered product suite to continue supporting enterprises in the cybersecurity, financial services, and software and technology sectors effectively manage service level agreements (SLAs) and service level objectives (SLOs). The new offering extends Senser’s core technology to assist DevOps and site reliability engineering (SRE) teams by intelligently and proactively managing SLAs using SLOs and service level indicators (SLIs).

PREDICTIONS SERIES 2024 - CIO Influence

SLAs and SLOs are critical benchmarks companies use to ensure the delivery of high-quality services and maintain optimal system performance. SLAs outline the formal agreements between a service provider and its customers, while SLOs set internal performance goals for the provider to meet customer expectations, usually bounded by SLIs. For many companies, the process of managing SLAs and SLOs is fragmented, ad hoc, and reactive. DevOps and SRE leaders often report a lack of clarity on what metrics to track, creating frustration toward learning about service risks only once an SLA or SLO has been breached.

CIO INFLUENCE News: HAProxy Enterprise Powers Reliability for I-Track Software’s SaaS Platform

Senser’s new SLA/SLO suite offers enterprises the following:

  • Single source of truth: Workflows to quickly import SLAs and SLOs from other systems for a single source of truth
  • Intelligent SLI generation: Automatic generation of SLIs based on service incidents, along with recommended benchmarks and alerting thresholds driven by ML-powered analysis of a customer’s environment
  • Predictive monitoring and alerting: Continuous tracking of performance and machine learning (ML)-powered predictive notifications when a customer is in danger of exceeding the error budget for a given SLA or SLO – along with automated root cause analysis pinpointing exactly what’s driving the variance.

CIO INFLUENCE News: Box Announces Three New Consulting Offerings to Accelerate Secure AI Adoption in the Enterprise

“Many AIOps and DevOps teams heavily rely on SLAs and SLOs to run their business, but often find them to be scattered across multiple systems and reactively managed, rather than proactively monitored,” said Amir Krayden, Senser co-founder and CEO. “Following the company’s recent funding, Senser has been dedicated to creating an SLA/SLO management suite to meet the evolving needs of our customers and the landscape of increasingly complex, distributed production environments.”

Senser harnesses the power of groundbreaking extended Berkeley Packet Filter (eBPF) technology and machine learning (ML) to continuously and non-intrusively collect data on a company’s production environment; automatically create a topology of their infrastructure, network, applications, and APIs; and deliver automated insights into root cause and business impact when issues like outages or service degradations arise.

CIO INFLUENCE News: Zscaler ThreatLabz Finds Most Cyberattacks Hide In Encrypted Traffic

[To share your insights with us, please write to sghosh@martechseries.com]

Related posts

Alteryx Accelerates Customer Innovation in the Snowflake Data Cloud

Flex Logix Raises $55 Million Series D Financing As It Accelerates Market Adoption of AI Inference and eFPGA Solutions

CIO Influence News Desk

HackNotice Hires Two New Leaders to Drive Continued Growth in Partnerships and Customer Success

CIO Influence News Desk