Sentry's Performance Monitoring for iOS and Release Health for Python give developers a deeper view into application health to deliver consistent, seamless product experiences.
Sentry continues to strengthen its mobile offering, which offers developers rich context on a variety of data points, such as user battery levels, orientations, and out-of-memory actions. With the addition of Performance Monitoring for iOS, teams can now tie user interactions to poor experiences. Whether the mobile user is struggling to load a game on an iPad or an e-commerce shopper is experiencing slow search returns, developers can associate slow user experiences with the backend call that needs attention.
With Release Health for Python, developers can surface user experience issues and pinpoint exactly where a release began to degrade in Python-based applications. Metrics for version adoption, crash-free sessions, and crash-free users, as well as real-time crash reporting and run-time errors within a single view, give developers a holistic, comprehensive view of application health.
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Business leaders are in the unique position of having immediate access to huge amounts of data in today's smartphone and laptop-dominated world. They are also under pressure to make data-driven decisions and mobile business intelligence can one of the most valuable decision making tools in their arsenal ...
Unlike some AI initiatives, AIOps doesn't always necessitate the use of a data scientist, so don't let hiring expenses put your AIOps initiatives on hold. It is always nice to have IT team members with AI skills, but this becomes less critical as more intelligent solutions come into prominence that offer AIOps features out of the box, a readily deployable option for IT ...
AIOps is rapidly becoming a de-facto option for enterprises' IT strategies, with nearly immeasurable benefits to be provided. However, AIOps is still a relatively new discipline and misconceptions surrounding the technology's capabilities and uses have caused bottlenecks and roadblocks in its widespread adoption. So, what should organizations expect from AIOps? How can organizations that want to digitally transform their IT pursue AIOps for maximum benefit? ...
In response to the global pandemic, companies have given their workforce the tools they need to work remote. And research shows it has increased their engagement and productivity. But these gains are on the brink of being wiped out. According to a new study from Citrix Systems, Inc., employees feel they've been given too many tools and not enough efficient ways to execute. And it's hindering their ability to get things done ...
The third installment of Aptum's four-part Cloud Impact Study, A Bright Forecast on Cloud, presents data showing the benefits organizations gain from cloud computing, as well as mistakes to avoid during migration. As organizations migrate workloads to different cloud platforms, they often run into unexpected challenges due to a lack of proactive planning. Here are a few key findings from Part 3 of the Cloud Impact Study ...
Currently, (and most likely well into the future) the overwhelming majority of organizations still need to monitor and maintain enterprise applications. Moreover, where these are complex systems developed, debugged and refined over years, often decades, around a business's core processes, there can also be very strong practical arguments for viewing them as classics. They can offer a valuable legacy, one best left where it is, doing what it does, how it always has done ...
Anti-patterns involve realizing a problem and implementing a non-optimal solution that is broadly embraced as the go-to method for solving that problem. This solution sounds good in theory, but for one reason or another it is not the best means of solving the problem. Anti-patterns are common across IT as well, especially around application monitoring and observability. One that is particularly prevalent is in response to the increasing complexity of cloud-native infrastructure and applications ...
The introduction of the latest technology — such as AI and machine learning — can be seen as a way for organizations to accelerate growth, increase efficiency, and improve customer service. However, the truth is that the technology alone will do little to deliver on these business outcomes. AI for IT operations (AIOps) is one area where the application of technology, if not matched with organizational maturity readiness, will fail to deliver all the promised benefits ...
SREs that fail to deliver customer value run the risk of being stuck in an operational toil rut. Conversely, businesses failing to recognize the bi-modal nature and importance of SRE activities run the risk of losing talented employees and their competitive edge ...
As part of digital transformation initiatives, IT teams are quickly adopting AIOps solutions to accommodate a new multifaceted infrastructure. However, there are still several roadblocks IT leaders must overcome when adopting AIOps — namely, understanding how to showcase ROI and changing their team's cultural mindset around adopting a new strategy ...
