Zenoss, a provider of management software for physical, virtual, and cloud-based IT infrastructures, announced the availability of unified monitoring for the OpenStack Swift cloud storage platform.
Available as a free and open source "ZenPack," the new capability extends Zenoss Core with deep instrumentation of the components that comprise OpenStack Swift and links this with health and configuration information of the underlying server, network and storage infrastructure. The result is end-to-end visibility into the health and capacity of the delivery environment, allowing cloud service providers to rapidly solve problems and proactively manage service levels.
OpenStack Object Storage (code-named Swift) is open source software for creating redundant, scalable object storage using clusters of standardized servers to store petabytes of accessible data. As OpenStack matures, more OpenStack-based clouds are being deployed into production. Running Swift without visibility into the underlying infrastructure is reckless because there are several well-known conditions that are irrecoverable and will lead to data loss.
Before the OpenStack Swift ZenPack, there was nothing for operators to ensure service levels because no specialized, best-practice solution for OpenStack monitoring existed. Zenoss’ OpenStack Swift ZenPack allows Swift-based cloud operators to ensure proper functioning of their storage clouds, and determine whether the cluster is able to perform within given key SLAs. As a result, operators can confirm that cluster and data integrity aren’t compromised by failing disks or object quarantines, cluster requests are fulfilled within given time periods, and cluster capacity meets both short and long-term needs.
“As a founding member of the OpenStack project we’re extremely excited to contribute to the project,” said Bill Karpovich, CEO of Zenoss. “With the OpenStack Swift ZenPack and its holistic approach we are especially trying to help providers manage their cloud infrastructure and meet their SLAs.”
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 ...
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 ...
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 ...