Skip to main content

Posts

Showing posts from July, 2020

I Hate 'Hubby'

The internet is full of irksome words – “heckin,” “awesomesauce,” “updoot” – but the worst one by far is “hubby.” from gizmodo http://www.gizmodo.co.uk/2020/07/i-hate-hubby/
Post a Comment
Read more

What We Do in the Shadows' 'Vampire Jedi' Moment with Mark Hamill Wasn't Pre-Planned

We’d watch the cast of our beloved What We Do in the Shadows read the dictionary, but fortunately the FX show’s San Diego Comic-Con panel was more lively than that—and brisk, clocking in at just over 30 minutes from gizmodo http://www.gizmodo.co.uk/2020/07/what-we-do-in-the-shadows-vampire-jedi-moment-with-mark-hamill-wasnt-pre-planned/
Post a Comment
Read more

Fear the Walking Dead Will Return for More Humans vs. Humans vs. Zombies Just in Time for Halloween

Fear the Walking Dead’s fifth season wrapped up back in September, and a promo (dropped in April) for season six hinted of more grim Wild West vibes ahead, complete with cowboy hats, mask-wearing horseback riders, and flaming oil wells from gizmodo http://www.gizmodo.co.uk/2020/07/fear-the-walking-dead-will-return-for-more-humans-vs-humans-vs-zombies-just-in-time-for-halloween/
Post a Comment
Read more

Enabling the New Generation of Home Workers

COVID-19 has created a new normal: knowledge workers setting up their offices at home, juggling child care, homeschooling, and household chores even as they try to maintain and develop business relationships over video links. All this comes following years marked by declining employee engagement and rising levels of stress in the workplace. Now the sudden and unexpected shift to home working has caused unprecedented levels of disruption to the lives of workers. No surprise, most organizations were caught cold by the pandemic. The question now becomes, how can they support their teams as the world structurally shifts to a work-from-home model? Supporting the Distributed Workplace The COVID-19 pandemic has forced a scramble to upgrade and align central IT infrastructures—from security approaches and software deployment models to the adoption of user-facing solutions like intranets and workplace technologies like chat, file sharing, and digital whiteboards. But those efforts won’t fr
Post a Comment
Read more

Inside Research: Evaluating SD-WAN

In his recent Key Criteria Report, respected analyst and author Chris Grundemann explores the criteria needed to understand and evaluate software-defined wide area network (SD-WAN) solutions and how they are transforming the performance of traditional wide area networks (WANs). The report, “ Key Criteria for Evaluating SD-WAN ,” explores this fast-developing area of network solutions. It outlines the key elements that define an SD-WAN, including centralized management, network virtualization with encryption, the use of multiple circuits, and path measurement. These features are the basic set of requirements for an SD-WAN and help give it the qualities that set it apart and make it a useful networking technique to simplify and improve WANs. Chris outlines how those looking to incorporate an SD-WAN solution into their organization can differentiate between solutions and how different features and criteria can boost the capabilities of a network. These features include: Routing and fo
Post a Comment
Read more

The Evolution of ML Infrastructure

Data is the “new oil” for modern tech, transforming countless industries and providing invaluable insight as organizations leverage artificial intelligence (AI) and machine learning. But this data-rich future—where information once bound for cold storage becomes an actionable, strategic asset—comes with challenges. More data must be stored safely at reasonable cost over longer time spans, even as enterprises forge a data foundation layer to transform every type of data they own from a liability to be stored and defended into an asset to be leveraged. Enterprises need the right storage infrastructure to manage this transition and unlock the potential value in their data. In this blog post, we outline how storage has evolved to combat the challenges of AI, ML, and big data and how the new generation of data storage offers a better solution than traditional stacks. What ML and Big Data Need To make a successful data storage layer for AI and ML operations using large amounts of data, yo
Post a Comment
Read more

Data Center Acceleration

Do you remember the data center of the past? And by past, I mean 20 to 25 years ago, when there was this huge, almost philosophical debate about complex instruction set computer (CISC) and reduced instruction set computer (RISC) architectures, and between large symmetric multi-processing (SMP) servers and mainframes and smaller systems. There were even fights over some esoteric system designs. All of this was happening before there were co-processors, ASICs and other fancy accelerators to speed data access and optimize complex operations. You might think we are past the fighting, now that data centers have largely aligned around commoditized x86 (ahem, CISC) CPUs, small two-socket servers, and a general standardization of the components that make up the modern data center. But the reality is that an increasing number of companies are rethinking the data center in ways that remind me of the ideological tussles of the past, while introducing new paradigms and innovations based on recent
Post a Comment
Read more

Is Visibility the DevOps Magic Bullet?

DevOps is an area defined by aspiration – there’s a better way of doing things, it suggests, a path to faster software delivery, better results, more efficient processes and higher levels of productivity. The potential is there, but as we cover in our report Driving Value Through Visibility, the path to success is beset by challenges. Not least: Siloed teams Complex architectures and legacy constraints Complicated and challenging compliance issues Communications issues internally These challenges can stymie development efforts, diminish potential value and negatively shape the view of development projects internally. It’s not just traditional enterprises that can suffer: younger, and reputedly ‘agile’ organizations can hit similar challenges when they attempt to scale. At least part of the answer, in our experience, comes down to visibility (or, as somebody once said, “if you can’t measure, you can’t manage” . Building on themes we have been developing across our DevOps report
Post a Comment
Read more

Twitter Says Its Partner Dataminr Wasn't Surveilling Protests for Local Police, Just 'News Alerting'

AI intelligence analysis startup Dataminr reportedly monitored US protests against the death of George Floyd using rarely granted, privileged access to Twitter’s "firehose" data feed. from gizmodo http://www.gizmodo.co.uk/2020/07/twitter-says-its-partner-dataminr-wasnt-surveilling-protests-for-local-police-just-news-alerting/
Post a Comment
Read more

Kubernetes: Overcoming Complexity

Kubernetes was created in 2014 to allow administrators to run distributed systems easily. Thanks to its 100% open source nature, it can run both on-premises and in the cloud, including public, hybrid, and multi-cloud environments. Kubernetes has seen rapid adoption since its introduction. As it is built specially to deal with containers at scale, it is both fast and lightweight, can be used on top of any VM or bare metal server, and provides robust container-centric features. Kubernetes can run equally well on any VM infrastructure, which is huge from a DevOps perspective, as the portability of containers should be equally matched by the portability of the container manager. For all of its advantages, Kubernetes presents unique challenges. Running stateful services such as databases on Kubernetes requires specific container-native storage systems. Without this technology, certain issues will become commonplace: stuck volumes, downtime, overprovisioning, lost data, and manual backups
Post a Comment
Read more