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Senser Releases New SLA/SLO Management Suite

Senser 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).

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

"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 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.

Senser's new SLA and SLO offerings are available to current customers.

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Senser Releases New SLA/SLO Management Suite

Senser 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).

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

"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 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.

Senser's new SLA and SLO offerings are available to current customers.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...