Mitigating downtime requires good workflows, human response and – most importantly – proper alarms to alert relevant individuals when things go wrong. Proper incident notification is crucial to effect management of IT downtime.
Proper IT management requires proper incident management. Otherwise, you court Murphy’s law at your peril. In the IT world, if a server can fail, a cache overload or traffic overload the network – it will. And the consequences are significant.

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Continuous testing helps bridge the gap between developing quickly and maintaining high quality products.
But to implement continuous testing, CTOs must take a strategic approach to building a testing infrastructure and toolset that empowers their team to move fast.
Download our guide to laying the groundwork for a scalable continuous testing strategy.

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FalconStor Software has announced that organizations using FreeStor® to seamlessly migrate, protect and recover data in the cloud are able to do so without being tied to specific hardware, networks or protocols, making it an ideal solution for businesses that are looking to cut costs and recovery time, as well as enabling Managed Service Providers (MSPs) to offer Backup-as-a-Service (BaaS) or Disaster-Recovery-as-a-Service (DRaaS) offerings.

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«We are an outsourcing company, offering sysadmin and DevOps services mostly for managed service providers, cloud providers and hosting providers,» stated Nikola Trajkovic, Business Development Manager at SuperAdmins, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.

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Human interaction has long been altered by the introduction of new technology. In the world of today those alterations have been rapidly accelerated by technology that incubates the creation of new and innovative applications that interconnect people. Specifically, properly secured cloud technology that can leverage mobile devices has allowed for inventors and innovators alike to permeate their ideas into everyday human technology at a faster rate than can be seen anywhere in history.

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In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.’ Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene.
In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists discussed the patterns and anti-patterns of DevOps, and what it means to ‘do the right thing’ in a DevOps way, but in the real world.

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«There’s a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions – what drives us at Catchpoint Systems is the idea to measure that and to analyze it,» explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.

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Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to making Riak TS available as open source software, version 1.3 expands support for SQL commands, enhances API support and provides support for shell commands. Riak TS Enterprise 1.3 also includes Multi-cluster Replication.

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Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future.

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After many years of research, misfires and frightening Hollywood plotlines, artificial intelligence (AI) is finally coming into its own and beginning to demonstrate significant business value. The combined forces of big data, human expertise and AI are being used across industries as diverse as healthcare and manufacturing, as well as within all aspects of business. IT operations is one area that AI is beginning to contribute to enormously.
IT infrastructures are changing rapidly today, particularly hybrid cloud environments.
While they are increasingly dynamic and agile, they are also extraordinarily complex. Humans are no longer able to sift through the variety, volume and velocity of Big Data streaming out of IT infrastructures in real time, making AI – especially machine learning – a powerful and necessary tool for automating analysis and decision making. By helping teams bridge the gap between Big Data and humans, and by capturing human domain knowledge, machine learning is able to provide the necessary operational intelligence to significantly relieve this burden of near real-time, informed decision-making. Industry analysts agree. In fact, Gartner named machine learning among the top 10 strategic technologies for 2016, noting “The explosion of data sources and complexity of information makes manual classification and analysis infeasible and uneconomical.”

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