Skip to main content

Azure–Single Instance VMs with 99.9% SLA

When Microsoft introduced their IAAS offering on Azure, the general rule to have a 99.9% SLA was to have at least 2 VMs provisioned. Most of my customers who I talk to today remember this rule and think that it still applies. Where in fact, there is since 2016 an option to provide a single instance VM and have the 99.9% SLA guarantee too!

The biggest requirement to achieve the 99.9% SLA guarantee for a single instance VM is to use Premium Storage. Premium Storage offers a much higher level of availability and performance with 5,000 IOPS per disk, versus 500 IOPS per disk with Standard Storage. The way Premium storage offers this is by utilizing SSD storage drives within the data center that are located on the same server hardware where the VM is running. Premium storage also offers a much higher throughput rate per disk of 2 Gbps.

Why should I still prefer multi-instance VMs?

It can still be adventagous to use a multi-instance VM configuration, because the SLA is a higher(99.95%). And of course your architecture is easier to scale horizontally.

More information: Azure SLA for Virtual Machines

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...