AnsibleFest Atlanta – Infrastructure Automation
AnsibleFest is only a few short weeks away and we are excited to share with you all the great content and sessions we have lined up! On the Ansible blog, we have been taking a closer look at each of the breakout session tracks so that attendees can better personalize their AnsibleFest experience. We sat down with Track Lead Dylan Silva to find out more about the Infrastructure Automation Track and sessions within the track.
Who is this track best for?
This track is best for sysadmins that are looking for information related to general infrastructure automation with Ansible.
What topics will this track cover?
Sessions in this track will cover bare-metal, server administration, and inventory management, among other related topics. There will be a session covering the automation of VMware infrastructure using REST APIs, how to use Ansible against your vSphere environment, how to use Ansible to pull approved firewall change requests from our change management system, and much more.
What should attendees expect to learn from this track?
Attendees should expect to learn best practices related to infrastructure management. This includes scaling Ansible for loT deployments, taking a closer Continue reading
Accelerating AI With GPU Virtualization In The Cloud
In July, VMware acquired Bitfusion, a company whose technology virtualizes compute accelerators with the goal of enabling modern workloads like artificial intelligence and data analytics to take full advantage of systems with GPUs or with FPGAs. …
Accelerating AI With GPU Virtualization In The Cloud was written by Jeffrey Burt at The Next Platform.
SDxCentral’s Top 10 Articles — August 2019
HCX, VMware’s Top-Secret Sauce, Comes Out; VMware Buys Veriflow for Network Monitoring,...
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Lanner Joins Forces With Hot OCP Ecosystem
Networking manufacture Lanner, well known for its uCPE and white box appliances, is the latest...
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Huawei Accuses US of Cyberattacks, ‘Menacing’ Its Employees
Huawei accused the U.S. government of using cyberattacks and “every tool at its disposal” to...
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AT&T Asks to Play With Its mmWave 5G Spectrum
The carrier has asked the FCC for early access to the 24 GHz spectrum it won during a recent...
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Top Redis Use Cases by Core Data Structure Types
Redis, short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system. This implies that unlike SQL (Structured Query Language) driven database systems like MySQL, PostgreSQL, and Oracle, Redis does not store data in well-defined database schemas which constitute tables, rows, and columns. Instead, Redis stores data in data structures which makes it very flexible to use. In this blog, we outline the top Redis use cases by the different core data structure types.
Data Structures in Redis
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2019 Chapterthon – Our Chapters, Connecting the World One Community at a Time
Each year, the Chapterthon project competition brings enthusiasm and excitement among our global community. We look forward to this time of year, when our communities mobilize and work alongside each other to achieve a common goal for the development of the Internet.
For the 2019 Chapterthon, we are delighted to announce that 34 Chapters and Special Interest Groups (SIGs) from across the globe have started implementing their work on local solutions that will bring some of the hardest-to-reach places and community segments online—connecting the unconnected.
Over the next two months, these 34 projects will:
- connect underprivileged and rural areas in Armenia, Bangladesh, Benin, Mali, and South Africa;
- build a community network in Kenya;
- establish online databases for rural farmers in Burkina Faso and Saint Vincent and the Grenadines;
- create an online audio library for people living with disabilities in northern rural Argentina;
- revolutionize a mobile network unit in Madagascar for use in the event of a natural disaster;
- educate and empower over fifty rural women on how to use the Internet during a friendly game of “Tag”;
- build an FM broadcast system in rural Ghana; preserve Indigenous culture in rural Brazil;
- sweat it out at a bootcamp in Continue reading
Tech Bytes: Applying Cloud Principles To Networking With Big Switch Networks (Sponsored)
Today's sponsored Tech Bytes explores how Big Switch Networks applies cloud design principles to data center and cloud networks. Network engineers can provide a developer-friendly environment while still enforcing policy, enabling security controls, and getting visibility into the network. Our guest is Big Switch CTO Paul Unbehagen.Tech Bytes: Applying Cloud Principles To Networking With Big Switch Networks (Sponsored)
Today's sponsored Tech Bytes explores how Big Switch Networks applies cloud design principles to data center and cloud networks. Network engineers can provide a developer-friendly environment while still enforcing policy, enabling security controls, and getting visibility into the network. Our guest is Big Switch CTO Paul Unbehagen.
The post Tech Bytes: Applying Cloud Principles To Networking With Big Switch Networks (Sponsored) appeared first on Packet Pushers.
Forwarding using sFlow-RT
- Without Forwarding Each sFlow agent is configured to stream sFlow telemetry to each of the analysis applications. This configuration is appropriate when a small number of applications is being used to continuously monitor performance. However, the overhead on the network and agents increases as additional analyzers are added. Often it is not possible to increase the number of analyzers since many embedded sFlow agents have limited resources and only support a small number of sFlow streams. In addition, the complexity of configuring each agent to add or remove an analysis application can be significant since agents may reside in Ethernet switches, routers, servers, hypervisors and applications on many different platforms from a variety of vendors.
- With Forwarding In this case all the agents are configured to send sFlow to a forwarding module which resends the data to the analysis applications. In this case analyzers can be added and removed simply by reconfiguring the forwarder without any changes required to the agent configurations.
Network Break 250: VMware Embraces Kubernetes; Dell Partners With VMware On Datacenters, SD-WAN
It's a heaping helping of Network Break as we try to parse all the Kubernetes pronouncements coming out of VMworld 2019, including Project Pacific and Tanzu Mission Control. Plus we cover new tech and new partnerships between Dell EMC and VMware, new products from Apstra and Mellanox, and HPE's latest financials.Network Break 250: VMware Embraces Kubernetes; Dell Partners With VMware On Datacenters, SD-WAN
It's a heaping helping of Network Break as we try to parse all the Kubernetes pronouncements coming out of VMworld 2019, including Project Pacific and Tanzu Mission Control. Plus we cover new tech and new partnerships between Dell EMC and VMware, new products from Apstra and Mellanox, and HPE's latest financials.
The post Network Break 250: VMware Embraces Kubernetes; Dell Partners With VMware On Datacenters, SD-WAN appeared first on Packet Pushers.
If You Have to Simulate Your Whole Network, You’re Doing It Wrong
This blog post was initially sent to subscribers of my SDN and Network Automation mailing list. Subscribe here.
Have you ever seen a presentation in which a startup is telling you how awesome their product is because it allows you to simulate your whole network in a virtual environment? Not only that, you can use that capability to build a test suite and a full-blown CI/CD pipeline and test whether your network works every time you make a change to any one box in the network.
Sounds awesome, right? It’s also dead wrong. Let me explain why that’s the case.
Read more ...The TOGAF ADM – Part II
Continuing right off from my last post, we going to continue our run-though of the ADM wrapping the last few phases. Phase E: opportunities & Solution: Now, it’s time for us to review the outputs from our previous phases and to start defining the beginning of our implementation details. We do this in the form of creating the […]VMworld 2019 Vendor Meeting: Lightbits Labs
Last week at VMworld, I had the opportunity to meet with Lightbits Labs, a relatively new startup working on what they called “disaggregated storage.” As it turns out, their product is actually quite interesting, and has relevance not only in “traditional” VMware vSphere environments but also in environments more focused on cloud-native technologies like Kubernetes.
So what is “disaggregated storage”? It’s one of the first questions I asked the Lightbits team. The basic premise behind Lightbits’ solution is that by taking the storage out of nodes—by decoupling storage from compute and memory—they can provide more efficient scaling. Frankly, it’s the same basic premise behind storage area network (SANs), although I think Lightbits wants to distance themselves from that terminology.
Instead of Fibre Channel, Fibre Channel over Ethernet (FCoE), or iSCSI, Lightbits uses NVMe over TCP. This provides good performance over 25, 50, or 100Gbps links with low latency (typically less than 300 microseconds). Disks appear “local” to the node, which allows for some interesting concepts when used in conjunction with hyperconverged platforms (more on that in a moment).
Lightbits has their own operating system, LightOS, which runs on industry-standard x64 servers from Dell, HP, Lenovo, etc. To Continue reading