alertmanager VS gRPC

- Alert Manager

You could use prometheus as a monitoring tool, blackbox_exporter to "export" the urls to prometheus, alertmanager for notifications, and grafana for nice gui dashboards (and maybe also notifications).

I found this other example below from this repo https://github.com/prometheus/alertmanager/issues/2559, but it is neither working.

vmalert: executes a list of the given alerting or recording rules against configured data sources. For sending alerting notifications vmalert relies on configured Alertmanager. Recording rules results are persisted via remote write protocol. vmalert is heavily inspired by Prometheus implementation and aims to be compatible with its syntax

Yes, I believe you can do all of what you're looking for without a UI. The alertmanager api has the ability to register receivers as well as to poll for alerts, silence them, etc: https://github.com/prometheus/alertmanager/blob/main/api/v2/openapi.yaml

I found it, unfortunately it doesn't help.

#cloud-config # environment: ${environment} runcmd: # install AWS CLI, neeeded for downloading of configuration files - | apt-get update && apt-get install unzip -y curl -Lo awscli.zip https://awscli.amazonaws.com/awscli-exe-linux-aarch64.zip unzip awscli.zip ./aws/install rm awscli.zip # install prometheus binary - | curl -Lo prometheus.tar.gz https://github.com/prometheus/prometheus/releases/download/v2.33.1/prometheus-2.33.1.linux-arm64.tar.gz tar -xvf prometheus.tar.gz cp ./prometheus-2.33.1.linux-arm64/prometheus /usr/local/bin/prometheus rm -rf ./prometheus-2.33.1.linux-arm64 rm -rf prometheus.tar.gz # install alertmanager binary - | curl -Lo alertmanager.tar.gz https://github.com/prometheus/alertmanager/releases/download/v0.23.0/alertmanager-0.23.0.linux-arm64.tar.gz tar -xvf alertmanager.tar.gz mv ./alertmanager-0.23.0.linux-arm64/alertmanager /usr/local/bin/alertmanager rm -rf alertmanager-0.23.0.linux-arm64 rm alertmanager.tar.gz # vait for EBS volume - | while [ ! -b $(readlink -f /dev/nvme1n1) ]; do echo "waiting for device /dev/nvme1n1" sleep 5 done # format volume blkid $(readlink -f /dev/nvme1n1) || mkfs -t ext4 $(readlink -f /dev/nvme1n1) # create a mount mkdir -p /data if ! grep "/dev/nvme1n1" /etc/fstab; then echo "/dev/nvme1n1 /data ext4 defaults,discard 0 0" >> /etc/fstab fi # mount volume mount /data # enable and start systemd services - | systemctl daemon-reload systemctl enable prepare-prometheus.service && systemctl start prepare-prometheus.service && sleep 10 systemctl enable prometheus.service && systemctl start prometheus.service systemctl enable alertmanager.service && systemctl start alertmanager.service write_files: - path: /usr/local/bin/prepare-prometheus permissions: '0744' content: | #!/bin/sh mkdir -p /etc/prometheus aws s3 cp s3://${s3_bucket}/prometheus.yaml /etc/prometheus/prometheus.yaml aws s3 cp s3://${s3_bucket}/alertmanager.yaml /etc/prometheus/alertmanager.yaml aws s3 cp s3://${s3_bucket}/prometheus.rules.yaml /etc/prometheus/prometheus.rules.yaml curl -X POST http://localhost:9090/-/reload || true - path: /etc/systemd/system/prepare-prometheus.service content: | [Unit] Description=Prepare prometheus / alertmanager configuration Wants=network-online.target After=network-online.target [Service] Type=oneshot ExecStart=/usr/local/bin/prepare-prometheus # please note data.mount in dependencies - path: /etc/systemd/system/prometheus.service content: | [Unit] Description=Prometheus Wants=network-online.target After=network-online.target data.mount prepare-prometheus.service [Service] Type=simple ExecStart=/usr/local/bin/prometheus \ --config.file /etc/prometheus/prometheus.yaml \ --storage.tsdb.path /data/ \ --web.enable-lifecycle \ --web.console.templates=/etc/prometheus/consoles \ --web.console.libraries=/etc/prometheus/console_libraries \ --enable-feature=remote-write-receiver [Install] WantedBy=multi-user.target - path: /etc/systemd/system/alertmanager.service content: | [Unit] Description=Alert Manager Wants=network-online.target After=network-online.target data.mount prepare-prometheus.service [Service] Type=simple ExecStart=/usr/local/bin/alertmanager \ --config.file /etc/prometheus/alertmanager.yaml \ --storage.path=/data/ [Install] WantedBy=multi-user.target

Prometheus recently added native support for time ranges in the alerting config https://github.com/prometheus/alertmanager/issues/876

Prometheus)Alertmanager: https://github.com/prometheus/alertmanager | https://prometheus.io/

gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle.

Yes, grpc_cli tool uses essentially the same mechanism except implemented as a grpc service rather than as a stubby service. The basic principle of both is implementing the C++ proto library's DescriptorDatabase interface with cached recursive queries of (usually) the server's compiled in FileDescriptorProtos.

See also https://github.com/grpc/grpc/blob/master/doc/server-reflecti...

The primary difference between what grpc does and what stubby does is that grpc uses a stream to ensure that the reflection requests all go to the same server to avoid incompatible version skew and duplicate proto transmissions. With that said, in practice version skew is rarely a problem for grpc_cli style "issue a single RPC" usecases: even if requests do go to two or more different versions of a binary that might have incompatible proto graphs, it is very common for the request and response and RPC to all be in the same proto file so you only need to make one RPC in the first place unless you're using an extension mechanism like proto2 extensions or google.protobuf.Any.

While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future.

The loadBalancingConfig is what we use in order to decide which policy to go for (round_robin in this case). This JSON representation is based on a protobuf message, then why does the name resolver returns it in the JSON format? The main reason is that loadBalancingConfig is a oneof field inside the proto message and so it can not contain values unknown to the gRPC if used in the proto format. The JSON representation does not have this requirement so we can use a custom loadBalancingConfig .

The Dart implementation of gRPC which puts mobile and HTTP/2 first. It's built and maintained by the Dart team. gRPC is a high-performance RPC (remote procedure call) framework that is optimized for efficient data transfer.

gRPC is a high-performance, open-source RPC (Remote Procedure Call) framework initially developed by Google. It uses Protocol Buffers for serialization and supports bidirectional streaming.

In general, tunneling through HTTP2 turns out to be a great choice. There is a RPC protocol built on top of HTTP2: gRPC[1].

This is because HTTP2 is great at exploiting a TCP connection to transmit and receive multiple data structures concurrently - multiplexing.

There may not be a reason to use HTTP3 however, as QUIC already provides multiplexing.

I expect that in the future most communications will be over encrypted HTTP2 and QUIC simply because middleware creators can not resist to discriminate.

[1] <https://grpc.io>

Even in the https://grpc.io blog says this

gRPC