SolarWinds announces the launch of SolarWinds Observability, a fully-integrated, cloud-native SaaS offering that provides unified and comprehensive visibility for today’s modern, distributed, hybrid, and multi-cloud IT environments.
SolarWinds Observability enables customers to accelerate digital transformation through powerful machine learning (ML) and artificial intelligence (AI) capabilities that make it easy to manage highly complex IT environments. The new SaaS platform blends SolarWinds observability solutions across network, infrastructure, systems, application, database, digital experience, and log monitoring in one end-to-end solution across private and public clouds with single-pane-of-glass visibility. SolarWinds Observability is built for IT Ops and DevOps teams, developers, cloud architects and IT executives to achieve optimum performance, compliance, and resilience by providing actionable business insights needed to identify and remediate issues.
SolarWinds Observability is designed to solve this problem by providing visibility into the complete environment—in both public and private clouds—and expedite anomaly identification and resolution. By enabling IT Ops, DevOps, and SecOps teams to shift from reactive to proactive postures, SolarWinds Observability helps ensure optimal performance and superior user experience, regardless of how distributed a business's services are, where they run, or how often they change. SolarWinds Observability is available as a cloud-native offering on both Azure® and AWS® clouds.
“For more than 20 years, we have focused on providing customers with solutions to digitally transform their companies. Today marks a significant moment in our own transformation as we launch our most impactful observability solution to date,” said Sudhakar Ramakrishna, SolarWinds President and CEO. “We designed SolarWinds Observability to support every customer—regardless of where they are on their cloud journey—and to deliver simplicity, security, and great value to DevOps, SecOps, CloudOps, and IT Ops professionals.”
“At SolarWinds, we’re laying the foundation for autonomous operations through both monitoring and observability solutions built to empower customers to move forward on their cloud and digital transformation journeys,” said Rohini Kasturi, CPO at SolarWinds. “With our Hybrid Cloud Observability and SolarWinds Observability offerings, customers have ultimate flexibility to deploy on a private cloud, public cloud, or as a service. We’re also simplifying our business model with node-based licensing and tier-based entitlements to support customers of all sizes.”
SolarWinds is also unveiling a new version of its Hybrid Cloud Observability solution. Deployed in customer data centers but capable of being easily implemented in hybrid environments, Hybrid Cloud Observability will now feature enhanced anomaly detection capabilities powered by AI and ML. Hybrid Cloud Observability enables SolarWinds customers to migrate from on-premises to SaaS at their own pace.
SolarWinds Observability and Hybrid Cloud Observability build upon the company’s success over more than 20 years in network, system, infrastructure, database, IT service management, and application management software. Both solutions were developed using the SolarWinds Secure by Design principles and a rigorous adherence to an advanced, multi-layer security framework. The launches of SolarWinds Observability and Hybrid Cloud Observability fulfill the company’s goal to introduce both SaaS and hybrid cloud observability solutions in 2022. That vision was first shared by Ramakrishna at the company’s Analyst and Investor Day held in November 2021.
The Latest
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...