Let's recap what we learned from the previous chapters in the series: episode 1 and episode 2. We learned that a good rollback mechanism cannot be designed without having an intimate knowledge of the application architecture, the nature of your components and their dependencies. Now that we know what we have to restore and in which order, the question is how?

Large enterprises today are juggling an enormous variety of network equipment. Business users are asking for specific network throughput guarantees when it comes to their critical applications, legal departments require compliance with mandated regulatory frameworks, and operations are asked to do more with shrinking budgets. All these requirements do not easily align with existing network architectures; hence, network operators are continuously faced with a slew of granular parameter change requests, trying to meet ongoing network requirement changes without having the proper tools in place.

In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.

Apache Hadoop is a key technology for gaining business insights from your Big Data, but the penetration into enterprises is shockingly low. In fact, Apache Hadoop and Big Data proponents recognize that this technology has not yet achieved its game-changing business potential. In his session at 19th Cloud Expo, John Mertic, director of program management for ODPi at The Linux Foundation, will explain why this is, how we can work together as an open data community to increase adoption, and the importance of open source-based Big Data standardization to help unlock more business value for Apach...

With the rise of Docker, Kubernetes, and other container technologies, the growth of microservices has skyrocketed among dev teams looking to innovate on a faster release cycle. This has enabled teams to finally realize their DevOps goals to ship and iterate quickly in a continuous delivery model. Why containers are growing in popularity is no surprise — they’re extremely easy to spin up or down, but come with an unforeseen issue. However, without the right foresight, DevOps and IT teams may lose a lot of visibility into these containers resulting in operational blind spots and even more hays...

As applications are promoted from the development environment to the CI or the QA environment and then into the production environment, it is very common for the configuration settings to be changed as the code is promoted. For example, the settings for the database connection pools are typically lower in development environment than the QA/Load Testing environment. The primary reason for the existence of the configuration setting differences is to enhance application performance. However, occasionally there are instances where the application code is mistakenly promoted into production withou...

When scaling agile / Scrum, we invariable run into the alignment vs autonomy problem. In short: you cannot have autonomous self directing teams if they have no clue in what direction they should go, or even shorter: Alignment breeds autonomy. But how do we create alignment? and what tools can we use to quickly evaluate if what we want to do is part of the mission or better left out? Niel Nickolaisen created the Purpose Alignment model and I use it with innovation labs in large enterprises to decide what should be part of our innovation and what should be left to others.

Throughout history, various leaders have risen up and tried to unify the world by conquest. Fortunately, none of their plans have succeeded. The world goes on just fine with each country ruling itself; no single ruler is necessary. That’s how it is with the container platform ecosystem, as well. There’s no need for one all-powerful, all-encompassing container platform. Think about any other technology sector out there – there are always multiple solutions in every space. The same goes for container technology. When you create something that is super scalable, the drawback is that it’s not goi...

Many IT organizations look to the private cloud to improve agility and simplify business operations. More and more are introducing converged and hyperconverged infrastructure solutions to support cloud initiatives and agile development practices. But there is too often a road block — legacy data center networks. Private clouds require a new multipurpose data center network to support diverse applications and workloads without sacrificing performance or service quality. Fully programmable and highly adaptable, the next-generation network easily integrates with service orchestration tools and...

Sharding has become a popular means of achieving scalability in application architectures in which read/write data separation is not only possible, but desirable to achieve new heights of concurrency. The premise is that by splitting up read and write duties, it is possible to get better overall performance at the cost of a slight delay in consistency. That is, it takes a bit of time to replicate changes initiated by a "write" to the read-only master database. It's eventually consistent, and it's generally considered an acceptable trade off when searching for higher and higher scalability.

Node.js and io.js are increasingly being used to run JavaScript on the server side for many types of applications, such as websites, real-time messaging and controllers for small devices with limited resources. For DevOps it is crucial to monitor the whole application stack and Node.js is rapidly becoming an important part of the stack in many organizations. Sematext has historically had a strong support for monitoring big data applications such as Elastic (aka Elasticsearch), Cassandra, Solr, Spark, Hadoop, and HBase, as well as more traditional databases, web servers like Nginx, Nginx Plus a...

Modern organizations face great challenges as they embrace innovation and integrate new tools and services. They begin to mature and move away from the complacency of maintaining traditional technologies and systems that only solve individual, siloed problems and work “well enough.” In order to build...

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If you are within a stones throw of the DevOps marketplace you have undoubtably noticed the growing trend in Microservices. Whether you have been staying up to date with the latest articles and blogs or you just read the definition for the first time, these 5 Microservices Resources You Need In Your Life will guide you through the ins and outs of Microservices in today’s world.

The following fictional case study is a composite of actual horror stories I’ve heard over the years. Unfortunately, this scenario often occurs when in-house integration teams take on the complexities of DevOps and ALM integration with an enterprise service bus (ESB) or custom integration. It is written from the perspective of an enterprise architect tasked with leading an organization’s effort to adopt Agile to become more competitive. The company has turned to Scaled Agile Framework (SAFe) as a way of scaling Agile, since initial attempts at Agile were not successful despite many scrum maste...

Let's just nip the conflation of these terms in the bud, shall we?

"MIcro" is big these days. Both microservices and microsegmentation are having and will continue to have an impact on data center architecture, but not necessarily for the same reasons. There's a growing trend in which folks - particularly those with a network background - conflate the two and use them to mean the same thing.

They are not.

One is about the application. The other, the network. There is a relationship, but it's a voluntary one. They are two very different things and we need to ...