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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.

Download this report to learn more.

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Process is the lifeblood of every business, and yet too many organizations suffer from processes that
are inefficient and unsustainable. Whether your organization is stuck navigating a snarl of unwieldy
spreadsheets and emails or painstakingly customizing large, complex systems with part-time support
from overworked technical teams, the result is the same: a bogged-down business with frustrated
employees, customers, and shareholders.
This practical guide will show you how to lower operating costs, increase efficiency, and improve customer
satisfaction through process improvement. Among the keys are being able to rapidly adapt to change and non-stop production.
Download this ebook to learn more.

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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.

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High-severity incidents are those involving feature issues, drops in network availability, data loss, revenue loss and security risks. This e-book provides an introduction to the fundamentals of incident management classification, and explores methods for reducing the time it takes SREs to discover their downstream effects.
Read this how-to guide to gain an understanding of:
  • Incident classification: SEV descriptions and levels, and SEV and time-to-detection (TTD) timelines
  • Organization-wide critical service monitoring, including key dashboards and KPI metrics emails
  • Service ownership and metrics for organizations maintaining a microservices architecture
  • Effective on-call principles for site reliability engineers, including rotation structure, alert threshold maintenance, and escalation practices
  • Chaos Engineering practices to identify random and unpredictable behavior in your system
  • Monitoring and metrics to detect incidents caused by self-healing systems

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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.

Read this guide to learn:

  • How to improve the availability and reliability of Kubernetes clusters using the discipline of Chaos Engineering
  • How to use Chaos Engineering to safely inject failure into your applications and nodes in order to detect weaknesses.
  • Specific Chaos Experiments for you to run on Kubernetes to ensure you’ve designed a reliable system.

Webinars

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.

Webinars

When New Orleans became a hot spot for coronavirus, the city’s emergency response had to rapidly adapt and scale its operations to meet the changing needs of its communities, employees and customers.
Tyrell Morris, the executive director of Orleans Parish Communication District, joins Ankit Shah, of low-code platform provider Quick Base, to discuss how Morris and his team are leveraging that platform to:

·         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 

Learning Center item

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.

White Papers

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.

Download the guide to learn more!

White Papers

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.

Learning Center item

Modern software is componentized and distributed, running in the cloud — or multicloud or hybrid environments, so it is, in a word, complex. Add to that users who have just about zero tolerance for any bit of latency, and as a result, application performance monitoring is perhaps more important that ever to companies looking to remain competitive in today’s digital economy.
Read part 1 of this ‘Deeper Look” at monitoring to learn how application monitoring today doesn’t look a whole lot like it did 10 years ago!

White Papers

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.

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