This means that two or more Linodes connected via the VLAN can see each other as if they were directly connected to the same physical Ethernet network. This network supports all the logical Ethernet features like L2 broadcast and L2 multicast.
Our new managed database service is now in open beta for new and existing customers! We currently support MySQL during this beta—with a near-term roadmap to add PostgreSQL, Redis, MongoDB—and plan to include additional features.
Under terms of the agreement, Akamai has agreed to acquire all of the outstanding equity of Linode Limited Liability Company for approximately $900 million, after customary purchase price adjustments. As a result of structuring the transaction as an asset purchase, Akamai expects to achieve cash income tax savings over the next 15 years that have an estimated net present value of approximately $120 million. The transaction is expected to close in the first quarter of 2022 and is subject to customary closing conditions.
Dedicated instances are optimized for workloads where consistent performance is required or where full-duty work (100% CPU all day, every day) needs doing.
Doing md5 for 3s on 16 size blocks: 5465798 md5's in 3.00s
Doing md5 for 3s on 64 size blocks: 3761125 md5's in 3.00s
Doing md5 for 3s on 256 size blocks: 1835218 md5's in 2.99s
Doing md5 for 3s on 1024 size blocks: 582162 md5's in 2.96s
Doing md5 for 3s on 8192 size blocks: 102995 md5's in 2.97s
Doing md5 for 3s on 16384 size blocks: 47177 md5's in 2.99s
Linode：
Doing md5 for 3s on 16 size blocks: 11510700 md5's in 3.00s
Doing md5 for 3s on 64 size blocks: 8361353 md5's in 2.99s
Doing md5 for 3s on 256 size blocks: 3751929 md5's in 3.00s
Doing md5 for 3s on 1024 size blocks: 1169457 md5's in 3.00s
Doing md5 for 3s on 8192 size blocks: 157678 md5's in 2.99s
Doing md5 for 3s on 16384 size blocks: 78874 md5's in 3.00s
Vultr (這是 USD$2.5/month 的方案)：
Doing md5 for 3s on 16 size blocks: 14929209 md5's in 2.97s
Doing md5 for 3s on 64 size blocks: 9479563 md5's in 2.97s
Doing md5 for 3s on 256 size blocks: 4237907 md5's in 2.98s
Doing md5 for 3s on 1024 size blocks: 1320548 md5's in 2.98s
Doing md5 for 3s on 8192 size blocks: 161940 md5's in 2.96s
Doing md5 for 3s on 16384 size blocks: 86592 md5's in 2.98s
然後補一個 AWS 的 t2.nano (在還有 CPU credit 可以全速跑的情況下)，不過這不公平，參考用而已：
Doing md5 for 3s on 16 size blocks: 19257426 md5's in 3.00s
Doing md5 for 3s on 64 size blocks: 11168752 md5's in 2.99s
Doing md5 for 3s on 256 size blocks: 4959879 md5's in 3.00s
Doing md5 for 3s on 1024 size blocks: 1518690 md5's in 3.00s
Doing md5 for 3s on 8192 size blocks: 203910 md5's in 3.00s
Doing md5 for 3s on 16384 size blocks: 102321 md5's in 2.99s
