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Neither system can have expansion trays. The E590 is priced below the E790. The shared base chassis can hold 24 SSDs, whose capacities can be 1. 9TB, 3. 8TB, 7. 6TB, or 15. 3 TB. RAID levels 5, 6 and 1 are available; specifically RAID6 (6D+2P, 12D+2P, 14D+2P), RAID5 (3D+1P, 4D+1P, 6D+1P, 7D+1P), and RAID1 (2D+2D, 4D+4D). External access can be via 24 x 16 or 32Gbit/s Fibre Channel ports or 12 x 10Gbit/s iSCSI. Hitachi said the array increases effective capacity, courtesy of data reduction software and provides a 4:1 effective capacity guarantee. The E Series incorporates embedded management software to speed installation and provisioning storage to applications. They can also be managed by Ops Center, Hitachi's enterprise-grade management software. There are three series of products in Hitachi Vantara's VSP (Virtual Storage Platform) all running Hitachi's SVOS RF software: E Series all-flash NVMe and SAS drive arrays with up to 21m IOPS, and down to 70μs latency F Series all-flash SAS array with 600K to 4.

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That's probably the biggest thing, just growing that community of both users as well as contributors and maintainers. We've had a lot of success working with other organizations around contributing functionality to Ambassador, they've been terrific, and we think just by being part of CNCF that other organizations will realize it's not just an Ambassador Labs project. " The Emissary Ingress roadmap includes adding support for Web Assembly (WASM) and caching APIs, but Li seems most interested in their collaboration with Argo on canary releases, progressive delivery, and merging native support for Emissary Ingress into Argo rollouts. Beyond that, Li also said that they are working to support the Gateway API, a successor to the Ingress Specification, which he sees a lot of community interest around. The Gateway API is "a collection of resources that model service networking in Kubernetes" that "aim to evolve Kubernetes service networking through expressive, extensible, and role-oriented interfaces that are implemented by many vendors and have broad industry support. "

Service Mesh Products A service mesh is a great problem solver when it comes to managing your cloud applications. If anybody runs applications in a microservices architecture, they are probably considered a good candidate for a service mesh. As the organization adopts a microservices architecture, the services tend to grow in number, and a service mesh allows you to declutter the enhanced complexity from a huge collection of microservices. Some widely-used service mesh products include: Linkerd, released in 2016, and introducing this new category, is an open-source Cloud Native Computing Foundation incubating project primarily maintained and sponsored by Buoyant. Istio, released in May 2017, is an open-source project from Google, IBM, and Lyft. Consul Connect, released in November 2018, is an open-source software project stewarded by HashiCorp. API Gateway vs. Service Mesh: Better Together? While an API gateway can handle east-west traffic, a service mesh seems like a better fit here because a service mesh holds a proxy on both the sides of the connection.

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Making fast, reliable, and secure service-to-service calls within a microservices architecture is what a service mesh strives to do. Although it is called "mesh of services, " it is more appropriate to say "mesh of proxies" that services can plug into and completely abstract the network away. Image source: Glasnostic In a typical service mesh, these proxies are infused inside each service deployment as a sidecar. Rather than calling services directly over the network, services call their local sidecar proxy, which handles the request on the service's behalf, thus encapsulating the complexities of the service-to-service exchange. The interconnected set of sidecar proxies implements what is known as the data plane. The components of a service mesh that are employed to configure the proxies and gather metrics are collectively known as the service mesh control plane. Service meshes are meant to resolve the multiple hurdles developers encounter while addressing to remote endpoints. In particular, service meshes help applications running on a container orchestration platform such as Kubernetes.

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  • The New Stack Context: Serverless Web Content Delivery with JAMstack – The New Stack

I always tell people that content delivery networks were the OG serverless — because they never required management. They were perfectly delegated. It's a globally distributed system with no single point of failure. You're not going to have to worry about Linux and Apache because you can deploy to any distributed global network that can serve essentially markup, JavaScript, CSS and static files. Then obviously to power the API, server rendering and more advanced functionality, the Vercel network gives you serverless functions. So we try to complete the entire JAMstack equation. In our interview, we also discussed: The motivation for writing How JAMStack differs from the typical server-browser model. The developer experience for Vercel. The importance of running a content delivery network for Vercel. The developer experience for cloud platforms. Later in the show, we reviewed some of the top TNS stories and posts of the week, including: This Week in Programming: Linux Kernel Keepers Mull In-Tree Support for Rust How AI Observability Cuts Down on Kubernetes Complexity Bridgecrew: All These Misconfigured Terraform Modules Are a Security Issue At this time, The New Stack does not allow comments directly on this website.

Companies will often employ both a service mesh and an API gateway, and use them simultaneously to compliment each other. Learn more about service meshes at " Service Mesh Solutions: A Crash Course " by Melissa McKay. Do You Really Need a Service Mesh? The very generic and safe answer is, "it depends. " It depends on the use case, the timing, how many microservices you are running, the cost, and careful consideration of cost vs benefit. Service meshes enable software platforms to do a lot of heavy lifting of applications. They provide infrastructure standardization when it comes to security, scalability, observability, and traffic management challenges faced by developers and managed centrally. If you are deploying your first, second, or third microservice, you probably don't need a service mesh. Instead, proceed down the path of learning Kubernetes and employ it in your enterprise. There will come a tipping point where you will appreciate the need for a service mesh. Also, when the number of microservices in our project increases, we will naturally develop familiarity with the obstacles that a service mesh will solve.

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