3 Ways Our Dev Teams Create Velocity with Multi-System Integrations

We use our integration platform to improve the quality of our products and services, accelerate continuous delivery, and minimize downtime.

Read three use cases that rely on key integrations and toolchains to remove the kinks that slow us down to:

  • Resolve product defects with tools including Zendesk, JIRA, and Slack
  • Monitor and automate releases using systems like Pingdom, JMeter, and Runscope
  • Manage major incidents by using tools like Zendesk, JIRA, and Confluence
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Is Your DevOps Pipeline Leaking?

As a DevOps leader it’s up to you to balance the autonomy and flexibility of a DevOps approach with the business value it was meant to create by making all your pipeline tools more collaborative, integrated, and automated. But challenges arise when you have multiple instances of the same tool, different tools with overlapping functionality, no ability to collaborate across teams—all resulting in unknown bottlenecks and complicated or no reporting.

Read this Gartner research note to learn how to patch any leaks in your DevOps toolchain with:

  • Common challenges of disparate DevOps tools
  • Recommendations for unifying toolchains
  • Tips to optimize your toolchain for continuous delivery
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TrustRadius Report on IBM Cloudant

The IBM Cloudant Product Report, developed with TrustRadius based on user reviews, showcases why TrustRadius designated Cloudant as a “Top Rated Product” in its NoSQL Databases category. You’ll learn why users chose the Cloudant JSON doc store, built on open source Apache® CouchDB™, to develop their scalable and always-on web, mobile and Internet of Things apps, through reviews like these:

  • “Replication: powerful and easy DevOps function to save, copy or back up the data from one Cloudant database to another”
  • “[Cloudant] allows us to scale our growth in the terms of transactions without too many headaches”
  • “Switching to Cloudant meant my administration time went from two hours to about five minutes per week”

The IBM Cloudant Product Report will also explain why Cloudant is ideal for apps that perform offline, and how its built-in geospatial querying and integrated connectors to analytics tools make it purpose-built for developers bringing new data-driven capabilities to their apps.

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Faster Insights with IBM Cloudant and Apache Spark

The potent combination of NoSQL databases, like IBM Cloudant, and Apache Spark provide developers and data scientists with access to rapid integration, transformation and analysis of all kinds of business data.

This free ebook, "Getting Faster Insights from Application Data with IBM Cloudant and Apache Spark," explains how to deploy the open source Spark-Cloudant connector to conduct in-memory analytics of your Cloudant JSON data in a Jupyter Notebook. Through examples, this eBook showcases:

  • How one company used Cloudant and Spark to conduct smarter, real-time maintenance of its assets using connected sensors
  • How Notebooks offer a powerful back-end interface for data science and analysis, while displaying text and annotations, code and data, and visualizations, all in the same environment
  • How to get started with analytics on your own JSON data while tapping into additional features of Cloudant, such as offline data access and native support for GeoJSON

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A Field Guide to the World of Modern Data Stores

There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right one? What about polyglot persistence and the need for advanced analytics?

If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions available to meet your app’s unique needs. You’ll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.

This field guide will help you answer:

  • What are the defining characteristics and strengths of today’s different cloud databases?
  • How can data in NoSQL stores be analyzed to learn more about your customers?
  • How are different open source databases used together to achieve polyglot persistence?

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How to Overcome the Microservices Sprawl

Recent survey data reports that over 85% of IT professionals who adopt a container framework see a significant improvement in their overall approach to crucial IT operations. Has your team optimized their microservices and container framework?

Are you optimizing your microservices frameworks to the best of your ability? IT organizations know how critical it is to maintain performance while adopting and expanding into a container-based framework, so a main component of ensuring your applications are built to scale is identifying the best solution to monitor the performance of container based functions and capabilities.

Read our guide to overcoming the complexity of adopting microservices and containers to understand how its transformation and adoption within IT organizations applies the DevOps transformation to critical business outcomes.

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Why DevOps is an Essential Part of Digital Transformation

Digital transformation disrupts every industry vertical, and applications are the key differentiator between who succeeds and who misses the bar. Every successful application needs a successful strategy. For modern web and mobile apps, we look to DevOps.

As DevOps becomes more than just a nice-to-have component of digital transformation, it’s critical to know the aspects that bring the best ROI from its adoption. As it brings together cross-functional teams to collaborate and streamline results into business outcomes, it requires tools that manage business, performance, and user data in one platform; it requires Application Intelligence.

This eBook delves into the best practices in implementing DevOps toward your digital transformation.

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Top 10 Java Performance Problems

As Java applications become more distributed and complex, finding and diagnosing performance issues becomes harder and harder. The good news is, these performance issues can usually be attributed to only a handful of root causes. In this eBook, Steve Haines talks about how to troubleshoot and diagnose some of the most common performance issues in Java today.

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The Ultimate DevOps Toolkit

Discover and leverage the frameworks, processes, and platforms that support the DevOps Lifecycle.

What exactly makes up a DevOps culture?

DevOps is about continuous delivery while maintaining quality, and it is only possible if the right tools are chosen to support relevant people and processes. This means that it is essential for the tools and applications used to develop, test, deploy, monitor, and manage applications all work seamlessly together.

This e-book breaks down the various foundational components that build up the transition to DevOps within an enterprise. It also introduces the continuous life cycle that maintains the integration and collaboration needed to deliver an exceptional end user experience with your applications.

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How to Build (and Scale) with Microservices

How to migrate, implement, and optimize with microservices, and why your business needs it.

Microservices are a type of software architecture where large applications are made up of small, self-contained units working together through APIs that are not dependent on a specific language. Each service has a limited scope, concentrates on a particular task and is highly independent. This setup allows IT managers and developers to build systems in a modular way.

Read this eBook to gain a deep dive on the essentials of microservices, including the characteristics of the technology and its meaning as a business initiative.

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10 Things Your CIO Should Know About DevOps

Teams that adopt DevOps deploy software 30x more frequently and with 200x shorter lead times. Does your team know what it takes to get results like these?

DevOps has already taken the IT world by storm, and it’s continuing to transform the way organizations develop, deploy, monitor, and maintain applications, along with underlying infrastructure. It’s quickly transitioning from a niche scope to a critical business outcome to all teams hoping to scale to digital transformation.

We collected the top 10 practices around DevOps your CIO and team need to know about to adopt the best model for success.

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How to Connect Network Devices in the Internet of Things

Connected devices are the heart of the Internet of Things (IoT). Without those devices or the connectivity that brings them to life, the IoT simply wouldn’t exist. Gartner Research estimates that there are currently 6.4 billion connected devices in use and projects that the number will balloon to 20.8 billion by 2020.

In a guide from O’Reilly Media, you’ll understand the requirements needed to connect networked devices – from prototyping to scaling IoT for the enterprise. Download the guide and you’ll learn:

  • The unique security challenge for connected devices in the IoT
  • The difference between local devices, devices on the edge of the IoT, and devices in the cloud
  • How to prototype and what is needed to plan for scale
  • What to consider when designing the prototype
  • How to address the key life-cycle activities of a connected device

Get your copy of “Connecting Networked Devices: Prototyping and Scaling IoT in the Enterprise”.

PTC has the most robust Internet of Things technology in the world. In 1986 we revolutionized digital 3D design, and in 1998 were first to market with Internet-based PLM. Now our leading IoT and AR platform and field-proven solutions bring together the physical and digital worlds to reinvent the way you create, operate, and service products.

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Scaling Data Science for the Industrial Internet of Things

By 2020, businesses involved with the Internet of Things (IoT) are expected to spend roughly one-quarter of their entire IoT cost on technologies and services that store, integrate, visualize, and analyze data. That’s nearly twice what companies spend today.

This ebook discusses the current state of IoT analytics and how to use modern techniques to automate data science to achieve advanced real-time analytics. In this ebook you’ll;

  • Understand the demands of IoT analytics,
  • Explore the characteristics of predictive analytics,
  • Examine the tools for IoT analytics used by companies at various levels of data analytics

Get your copy of the O'Reilly Media report, Scaling Data Science for the Industrial IoT.

PTC has the most robust Internet of Things technology in the world. In 1986 we revolutionized digital 3D design, and in 1998 were first to market with Internet-based PLM. Now our leading IoT and AR platform and field-proven solutions bring together the physical and digital worlds to reinvent the way you create, operate, and service products.

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How to Secure Devices in the Internet of Things

Internet of Things security brings its own unique challenges. With the variety of connected applications and devices in operation now in the hundreds of thousands, it’s critical to ensure your IoT-related security standards are up to the task.

In this white paper, Rob Black, CISSP Senior Director of Product Management at PTC explores IoT security best practices including:

  • Data and network encryption
  • Audit trails
  • Granular permissions and visibility
  • Secure Software Development Life Cycle (SDLC)

Download this white paper and learn how an IoT platform can help keep your IoT security best in class.

PTC has the most robust Internet of Things technology in the world. In 1986 we revolutionized digital 3D design, and in 1998 were first to market with Internet-based PLM. Now our leading IoT and AR platform and field-proven solutions bring together the physical and digital worlds to reinvent the way you create, operate, and service products.

Get Whitepaper