terraform plan -out=aws_kubespray_plan This will generate a file, aws_kubespray_plan, depicting an execution plan of the infrastructure that will be created on AWS. To apply, execute: $ terraform init $ terraform marathon... ... ... ... ... Done Step 6: Simulate a Web-Server and Clients Use curl to submit a task to Marathon for scheduling, with data to run the simulated web-server provided by the web-server.json f00d::a0f:0:0:c76d 10.15.34.97 ready Marathon runs the tasks as batch jobs with stdout logged to task-specific files located in /var/lib/mesos. To simplify the retrieval of the stdout log, use the tail_client

translates the generic bytecode of the program into the machine-specific instruction set to optimize execution speed. This makes eBPF programs run as efficiently as natively compiled kernel code or as code After years of proven production experience, eBPF has been adopted for Windows and other privileged execution contexts. The eBPF Foundation now brings together a cross-platform community of eBPF-related projects overall vision of eBPF and as of 2023, there is work in progress with the IETF (Internet Engineering Task Force) for standardizing eBPF. Under this new banner, bees now help innovate Teams on various vessels

terraform plan -out=aws_kubespray_plan This will generate a file, aws_kubespray_plan, depicting an execution plan of the infrastructure that will be created on AWS. To apply, execute: $ terraform init $ terraform marathon... ... ... ... ... Done Step 6: Simulate a Web-Server and Clients Use curl to submit a task to Marathon for scheduling, with data to run the simulated web-server provided by the web-server.json f00d::a0f:0:0:c76d 10.15.34.97 ready Marathon runs the tasks as batch jobs with stdout logged to task-specific files located in /var/lib/mesos. To simplify the retrieval of the stdout log, use the tail_client

terraform plan -out=aws_kubespray_plan This will generate a file, aws_kubespray_plan, depicting an execution plan of the infrastructure that will be created on AWS. To apply, execute: $ terraform init $ terraform run and a JIT compiler converts the bytecode to CPU architecture specific instructions for native execution efficiency. BPF programs can be run at various hooking points in the kernel such as for incoming cilium pod is started. Note In order for the the cni-install.sh script to work properly, the kubelet task must either be running on the host filesystem of the worker node, or the /etc/cni/net.d and /opt/cni/bin

terraform plan -out=aws_kubespray_plan This will generate a file, aws_kubespray_plan, depicting an execution plan of the infrastructure that will be created on AWS. To apply, execute: $ terraform init $ terraform run and a JIT compiler converts the bytecode to CPU architecture specific instructions for native execution efficiency. eBPF programs can be run at various hooking points in the kernel such as for incoming cilium pod is started. Note In order for the cni-install.sh script to work properly, the kubelet task must either be running on the host filesystem of the worker node, or the /etc/cni/net.d and /opt/cni/bin

terraform plan -out=aws_kubespray_plan This will generate a file, aws_kubespray_plan, depicting an execution plan of the infrastructure that will be created on AWS. To apply, execute: $ terraform init $ terraform run and a JIT compiler converts the bytecode to CPU architecture specific instructions for native execution efficiency. eBPF programs can be run at various hooking points in the kernel such as for incoming cilium pod is started. Note In order for the cni-install.sh script to work properly, the kubelet task must either be running on the host filesystem of the worker node, or the /etc/cni/net.d and /opt/cni/bin

terraform plan -out=aws_kubespray_plan This will generate a file, aws_kubespray_plan, depicting an execution plan of the infrastructure that will be created on AWS. To apply, execute: $ terraform init $ terraform run and a JIT compiler converts the bytecode to CPU architecture specific instructions for native execution efficiency. eBPF programs can be run at various hooking points in the kernel such as for incoming cilium pod is started. Note In order for the cni-install.sh script to work properly, the kubelet task must either be running on the host filesystem of the worker node, or the /etc/cni/net.d and /opt/cni/bin

marathon... ... ... ... ... Done Step 6: Simulate a Web-Server and Clients Use curl to submit a task to Marathon for scheduling, with data to run the simulated web-server provided by the web-server.json 5113 mesos:id=badclie Marathon runs the tasks as batch jobs with stdout logged to task-specific files located in /var/lib/mesos . To simplify the retrieval of the stdout log, use the tail_client pod is started. Note In order for the the cni-install.sh script to work properly, the kubelet task must either be running on the host filesystem of the worker node, or the /etc/cni/net.d and /opt/cni/bin

OSDI'20 [0] [0] https://sites.google.com/site/tangchq/papers/Twine-OSDI20.pdf twagent Container (aka “task”): ● namespaces: cgroup, mount, pid and optionally: ipc, net, user, uts ● cgroup v2 ● ... other ): cgroup-bpf 3 Task IP assignment (aka IP-per-task) ● Facebook DC network is IPv6 only ● Every server has /64 IPv6 prefix ● Convenient to have a unique IPv6 per twagent task (e.g. for QoS tagging) Solution: ● Make task use specified IP by a set of BPF_PROG_TYPE_CGROUP_SOCK_ADDR and BPF_CGROUP_SOCK_OPS programs Move TCP/UDP servers to task IP: ● bind(2): ctx.user_ip6 = task_ip Make TCP/UDP clients

rbperf - Profile Ruby programs rbperf - Profile Ruby programs - Trace complex Ruby programs execution rbperf – on-CPU profiling - $ rbperf record --pid=124 cpu - $ rbperf report [...] rbperf – Rails