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.
This report looks at the operational maturity of organizations and matches the technology to that level. Only by ensuring that technology, people, and processes are aligned can an organization see any new technology become transformative and deliver real business value.
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DevOps has transformed the way businesses think and software development teams work, but the power of DevOps is still limited. Testing still stands in the way of achieving true DevOps and continuous delivery. It is a time-consuming process that requires many moving parts to happen in the right way, and many questions to be asked upfront. Luckily, there are some ways teams can start to break down the barriers of testing in DevOps.
Even systems like Kubernetes need to be tested to verify that they can handle turbulent production conditions. By thoughtfully injecting failure into Kubernetes, engineers can identify bugs before migrating a new service over and ensure successful launches and the stable ongoing performance of their application. This reduces time fighting fires so teams can ship more code, faster.
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Serverless functions are becoming a bigger part of microservices applications in today’s modern software architectures, helping organizations gain flexibility and substantially cut compute costs. But are those applications performing well to deliver business value? It’s hard to know, because nothing about serverless fits the model of how application performance monitoring works. Today’s tools don’t work well in the serverless world, when a function executes and is gone before its performance can even be observed. Tracing stateless requests with no runtime is extremely difficult.
IT organizations understand the benefits of serverless, but they are scared to manage it. In this webinar, David Rubinstein, editor-in-chief of SD Times, Chris Farrell, technical director and APM strategist at Instana and Drew Flowers, Solution Architect at Instana, dive into the challenges of monitoring serverless functions and talk about ways to gain production-level visibility into these applications.
· Quickly adapting to the changing needs of employees, customers, and communities during a crisis is paramount. In New Orleans, the city’s emergency
· Track incidents in real-time through their new self-quarantine registry, which allows symptomatic and self-isolating citizens to inform the parish
· Provide real-time visibility to leadership by creating dashboards that integrate with the city’s GIS system for New Orleans’ mayor
· Help the community share information through their new reporting system, where citizens can report illegal evictions and non-compliant businesses
With the amount of software being installed into devices across all industries, it has become essential that the embedded code is safe and secure, reliable, and high quality. However, ensuring that the embedded code meets these standards and is delivered in a timely manner can be a daunting and time-consuming challenge. For that reason, it is essential that developers pair static code analysis with efficient software development practices, such as CI/CD pipelines. View this webinar and learn how to add static analysis to your DevOps process.
When building out your AppSec program, remember that something is always better than nothing. While achieving best practices should be your end goal, oftentimes budget, expertise and time get in the way. But even a few practical steps taken now can help craft an AppSec foundation that can move the needle while positioning your program for improvement later. In this guide, we’ll look at five key AppSec best practices and discuss the practical steps you can take immediately to get the ball rolling in each of these areas.
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451 Research’s data and conversations reveal that while enterprises tend to embrace open source software, they are currently struggling to address the unique challenges that open source software can bring regarding support, software quality, licensing and security. Simply using open source software and making it available to users is not enough. This is where managed open source can enable use of these critical components while maintaining quality, stability, performance and security. Read this Research Report to learn about issues surrounding a specific technology or business case, explore the business value of adoption, and recommendations as to the range of considerations and concrete next steps in the decision-making process.
Businesses today struggle as a result of the three big challenges with traditional analytics products – legacy tools that won’t work with all of their data, that don’t have the architecture to handle big data, and that can’t take actions in real-time to keep them ahead of the competition.
Qrvey is the next generation of business analytics that moves beyond visualizations to include data collection, transformation, automation and machine learning, providing the fastest and easiest path to harness the full power of AWS without coding. By bringing analytics into the age of microservices, Qrvey’s platform empowers its customers to build and embed highly performant analytic applications that can be widely distributed. At Qrvey, embedding is not a feature set, it’s a mindset.
See what’s possible with the next generation of embedded analytics.