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Mar 6, 2020 | By Sandeep Subbaiyan
It’s common for modern businesses to rely on 2,000+ custom-developed applications and it requires substantial cost, time and effort to ensure 24/7 optimal performance of those applications. IT Ops teams depend on advanced application performance monitoring (APM) to scale up key business capabilities and boost innovation. But the APM tools that provide the deepest insights for critical applications are extremely expensive and are cumbersome to deploy.
Gartner's Latest Recommendations in IT Infrastructure Monitoring: Modernizing Infrastructure, Ops and Cloud Management
Jan 29, 2020 | By Anirban Chatterjee
Gartner’s latest Market Guide for IT Infrastructure Monitoring Tools has just been released, and we are once again proud to be included as a Representative Vendor. Unsurprisingly, Gartner has found that customer trends toward the adoption of multicloud technologies continue to progress, which can have big implications on the monitoring platforms deployed to keep pace.
Dec 19, 2019 | By Sandeep Subbaiyan
In our previous blog post, we discussed how investments in AIOps platforms have been justified on the basis of their ability to decrease mean time to problem resolution and the resultant cost reduction. But one of the challenges most IT Ops teams face is in the approach of deploying AIOps solutions for business-critical use cases: Where do we start?
Dec 17, 2019 | By Sandeep Subbaiyan
In our previous blog post, we discussed how we are approaching an important inflection point in the cloud migration timeline. Certain legacy applications will remain on owned infrastructure for the foreseeable future, but the scale and agility offered by cloud platforms offers competitive and operational advantages that most organizations cannot ignore. As cloud adoption became mainstream, many enterprises saw fewer objections to migrating their infrastructure to cloud.
Dec 10, 2019 | By Sandeep Subbaiyan
IT monitoring solutions haven’t kept pace with the rapid evolution of modern IT infrastructures. Many organizations still rely on disparate and siloed monitoring tools built on legacy framework that present a fragmented view of IT operations.
Apr 1, 2020 | By Zenoss
AIOps, i.e., artificial intelligence for IT operations, has become the latest strategy du jour in the IT operations management space to help address and better manage the growing complexity and extreme scale of modern IT environments. AIOps enables some unique and new capabilities on this front, though it is quite a bit more complicated than the panacea that it is made out to be. However, the underlying AI and machine learning (ML) concepts do help complement, supplement and, in particular cases, even supplant more traditional approaches to handling typical IT Ops scenarios at scale.
Dec 18, 2018 | By Zenoss
During our recent webinar, Using the Right Data In Context to Prevent IT Outages, Forrester Principal Analyst Charles Betz shared his insights on the importance of leveraging the different types of machine data collected through intelligent monitoring and analytics solutions.
Dec 1, 2018 | By Zenoss
The ability to analyze data across customers in order to inform their offerings is emerging as a potentially significant differentiator between monitoring vendors that have SaaS deployment offerings and those that don't. While some vendors pursue this opportunity, others are waiting on the sidelines, uncertain about privacy implications.
Dec 1, 2018 | By Zenoss
This essential guide for IT leaders demonstrates four key monitoring insights that can help beleaguered teams solve incidents quickly, avoid outages, and get closer to the nirvana of a self-healing, lights-out data center through software-defined IT operations.
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