Dynamo Bryansk vs FK Kvant – Betting Analysis

Match Analysis: Dynamo Bryansk vs. FK Kvant – Scheduled for June 7, 2025, at 10:00 AM, this match presents intriguing predictions across multiple betting segments. Below is a detailed breakdown offering insights into potential outcomes.

This analysis comprehensively covers the betting landscape for the Dynamo Bryansk vs. FK Kvant match, offering insights into potential outcomes through various betting segments.fabric8-analytics/fabric8-analytics-devops/fabric8-analytics-chaos/src/main/resources/chaos/fabric8-analytics.broken-timer.yaml
apiVersion: “v1”
kind: “Service”
metadata:
name: “fabric8-analytics-timer”
spec:
ports:
– port: 80
protocol: TCP
targetPort: 9090
—
apiVersion: “apps/v1”
kind: “StatefulSet”
metadata:
name: “fabric8-analytics-timer”
spec:
serviceName: “fabric8-analytics-timer”
selector:
matchLabels:
app: “fabric8-analytics-timer”
replicas: 1
template:
metadata:
labels:
app: “fabric8-analytics-timer”
spec:
terminationGracePeriodSeconds: 10
containers:
– name: “fabric8-analytics-timer”
image: “fabric8analytics/fabric8-analytics-timer:latest”
imagePullPolicy: “IfNotPresent”
ports:
– name: “http-server”
containerPort: 9090
protocol: “TCP”
readinessProbe:
httpGet:
path: “/”
port: 9090
– name: “broken-fabric8-analytics-timer”
image: “alpine”
fabric8-analytics/fabric8-analytics-devops/fabric8-analytics-demo/src/main/webapp/app/i18n/en/costReport.json
{
“costreport”: {
“title”: “Cost Reports”,
“createLabel”: “Create a new cost report”,
“createTitle”: “Create new Cost Report”,
“created”: “A new Cost Report ‘{{ entity }}””,
“editLabel”: “Edit Cost Report”,
“editTitle”: “Edit Cost Report”,
“delete”: “Delete Cost Report”,
“deleteTitle”: “Delete Cost Report”,
“deleteConfirm”: “Are you sure you want to delete Cost Report ‘{{ id }}’?”,
“hint”: “Total Expenses”,
“list”: {
“title”: “Cost Reports”,
“emptyList”: “No Cost Reports yet!”
},
“month”: {
“Jan”: “January”,
“Feb”: “February”,
“Mar”: “March”,
“Apr”: “April”,
“May”: “May”,
“Jun”: “June”,
“Jul”: “July”,
“Aug”: “August”,
“Sep”: “September”,
“Oct”: “October”,
“Nov”: “November”,
“Dec”: “December”
}
},
“costreport-detail”: {
“title”: “Cost Report Detail”,
“cancelLabel”: “Cancel”,
“saveLabel”: “Save”,
“approveLabel”: “Approve”,
“reApproveLabel”: “Re-approve”,
“unApproveLabel”: “Un-approve”
}
}
fabric8-analytics/fabric8-analytics-devops/deploy/docker/fabric8-analytics-storage/Dockerfile
FROM centos

ADD config/rack1.roles /etc/ansible/roles/rack1.roles
ADD config/rack2.roles /etc/ansible/roles/rack2.roles
RUN chown -R ansible /etc/ansible
ADD docker-start.sh /tmp/
RUN chmod a+x /tmp/docker-start.sh
RUN yum install -y python-gevent
RUN yum install jpackage-utils -y
RUN subscription-manager repos –enable=”JDK for RHEL-7″ && yum clean all
RUN yum install java-1.8.0-openjdk-devel -y
RUN curl -sL https://rpm.nodesource.com/setup_10.x | bash –
RUN yum install -y nodejs
ENV PATH=$PATH:/opt/stackstorm/bin
ENV PATH=$PATH:/opt/rh/rh-python35/root/usr/bin
RUN mkdir /opt/stackstorm && cd /opt/stackstorm && curl -O https://github.com/StackStorm/st2-docker-pack/releases/download/v1.1.0/st2-docker-pack-1.1.0.tar.gz && tar xzf st2-docker-pack-1.1.0.tar.gz –strip=1 && rm st2-docker-pack-1.1.0.tar.gz

#Jenkins slave config will be placed in this directory
WORKDIR /tmp/home

#Install jq and Git
RUN yum -y install curl git jq

#Install Ansible
RUN yum -y install epel-release &&
yum -y install ansible &&
pip install wheel

#InOfficial Installation of Giraph for Spark
RUN yum install -y wget gcc make java-1.8.0-openjdk-devel &&
wget http://apache.cpant.org/authors/id/M/MA/MARKSTOS/giraph-1.0.0-Spark2.zip &&
unzip giraph-1.0.0-Spark2.zip &&
cd giraph-1.0.0-Spark2 / &&
mvn install -DskipTests=true -Dmaven.javadoc.skip=true -B -V

# Install Giraph Spark Connector Library
RUN cd /tmp &&
git clone https://github.com/ryotarai/spark-giraph.git &&
cd spark-giraph &&
mvn clean install -DskipTests=true -Dmaven.javadoc.skip=true -B

# Install Giraph Python Connector Library
RUN cd / &&
git clone https://github.com/ryotarai/giraph-api.git &&
cd giraph-api/pyspark-giraph-cli/src &&
pip install .

# Install Stackstorm PIP packages into python site-packages folder.
RUN pip install –no-cache-dir src_executors_core &&
pip install –no-cache-dir src_executors_graph executors_core executors_pagerduty executors_jira executors_influxdb executors_es_meta executors_oracle executors_logging executors_kubernetes executors_vsphere executors_ansible executors_graph executors_hive executors_graphite executors_ldap_python3 executors_prometheus executors_opsgenie executors_pagerduty executors_graphite executors_giraph &&
pip uninstall -y st2common && pip install –no-index –find-links /tmp/st2.src/st2common st2common==3.3.0

#Mandatory for centos to start applications as root
COPY st2ctl /usr/bin/st2ctl

#Install Ontopia Graphdb and PrestoDB
RUN yum clean all &&
yum install -y unzip &&
wget https://github.com/Ontotext/GraphDB/releases/download/v9.8.0/GraphDB-rhel-6-9.8.0-x86_64-rpm.tar.gz && tar xzvf GraphDB-rhel-6-9.8.0-x86_64-rpm.tar.gz &&
yum install –nogpgcheck -y GraphDB*.rpm &&
yum -y remove https://cloud.centos.org/centos/7/os/x86_64/Packages/unzip-6.0-16.el7.x86_64.rpm GraphDB*.rpm

#Install Oneprovider
RUN curl -O https://github.com/fabric8-analytics/onerepo/releases/download/v1.7.6/onerepo-server-1.7.6.tar.gz &&
tar xzf onerepo-server-1.7.6.tar.gz &&
cd onerepo-server-1.7.6/ && ./bin/onerepo-bootstrap.sh

#Install InfluxDB
USER root
RUN curl -sL https://repos.influxdata.com/influxdb.key | sudo apt-key add – &&
echo ‘deb https://repos.influxdata.com/debian stretch stable’ | sudo tee /etc/apt/sources.list.d/influxdb.list &&
apt-get update && apt-get install -y influxdb

#Expose Port
EXPOSE 80

ENTRYPOINT [“/tmp/docker-start.sh”]
CMD []

fabric8-analytics/fabric8-analytics-devops/chaos-infra-istio/script/killDeployment.sh
#!/usr/bin/env bash

set -e

if [ -z ${K8S_MASTER_URL+x} ]; then
K8S_MASTER_URL=http://localhost:8080
fi

if [ $# -ne 1 ]; then
echo “Usage $0 [deploy-name]”
exit
fi

label=$(kubectl get pods | grep ${1} | head -1 | awk ‘{print $3}’ | tr -d ‘[:space:]’)

echo $label

kubectl delete pods -l app=${label}

ST2_CONFIG_KUBERNETES_DEPLOYMENT_NAME=storage-devstack
ST2_CONFIG_KUBERNETES_ENV_VAR_PREFIX=ST2_KUBERNETES_
HOSTNAME=$(hostname)
STAN_HOSTNAME=${HOSTNAME}-stan-stan-infra.sa.svc.cluster.local
SYSLOG_HOSTNAME=${HOSTNAME}-syslog-microsvc-stan-infra.sa.svc.cluster.local
MONGO_HOSTNAME=mongo-microsvc-stan-infra.sa.svc.cluster.local

cd dsl/

if [ $# -ne 1 ]; then
echo “$0 release-tag-name”
exit 1
fi

skaffold config set docker.ui=false
skaffold config set docker.showLogs=false

skaffold run –default-repo=stan_infra –default-tag=$1 –kube-context=local dev

docker tag stan_infra/stan-microservice-local:$1 stan_infra/stan-microservice-local:$2
docker tag stan_infra/stan-microservice-local:$1 stan_infra/stan-microservice-local:latest
docker tag stan_infra/stan-nginx-local:$1 stan_infra/stan-nginx-local:$2
docker tag stan_infra/stan-nginx-local:$1 stan_infra/stan-nginx-local:latest

skaffold config set docker.showLogs=false

skaffold run –default-repo=stan_infra –default-tag=$2 –kube-context=local deploy

#fabric8analytics storage devstack

##Deploys the devstack for storage and connected services.

### Prerequisites
* fabric8analytics/inithostcontainer repo located in $HOME/fabric8-analytics-devops (or changed in fab-stg.yaml)
* ST2 and it related microservices (.tgz) at $HOME/fabric8ansible/storage (or changed in fab-stg.yaml)
* Sync stackstormrepo into $HOME/fabric8ansible/storage (or changed in fab-stg.yaml)
* $HOME/fabric8ansible/storage/ssl/stan with ssl certs (or changed in fab-stg.yaml)
* host_inventory.yaml with your hostnames (or added inline)

###Start the fab process
fab
#Fabric8 Storage Docker Image Actions

* docker build -t fabric8analytics/fabric8-analytics-storage .
* docker run –name analytics-storage fabric8analytics/fabric8-analytics-storage sh

Known issues.

*15840 is hardcoded jersey.server.session.persistent so jmx monitor cannot persisted over restarts*

Launch docker container with mounted directories for metrics

docker run –name analytics-storage –rm -v $HOME/fabric8-analytics-metrics:/opt/fabric8/metrics –privileged=true fabric8analytics/fabric8-analytics-storage bash

It is required to first spin up the container manually as this container depends on other containers running first.

Commands to run in the fab container:

On initial spinup:

* make clean-repo prepare-devstack anaconda fedora kube-centos rstudio python-vertx mysql celery-ranger elasticsearch hive zcore sqooq presto giraph prism-microanalytics r3 cdap pigflow visor stackstorm-infra graphdb influxdb monasca agent-oauth agent-onerepo storageemail grafana-oauth alertmanager servicegraph kafka zookeeper prometheus polzookeeper spinnaker-deck preflight orquesta dashboard service-pods ansible-infra stackstorm-devops nginx openshift-service catalog microservices kafka-stackstorm

Syntax:

* make choice-clean make choice-prep make choice-start make choice-start-test make choice-clear

Post startup the fab container can be shut down and another shell session can be started and the following can be run.

* make create-eventing-rules creating the rules required for pipeline eventing in stackstorm event bus

Contributions and branch naming.

Branch names should follow the convention *[branch-context]* where the context is readable.

* master : Production ready code.
* development : Target of development until further notice.
* feature/[branch-name] : New feature branch.
* hotfix/[branch-name] : Hot fix branch (it may come across that ssh keys need to be updated). For existing branch use by calling out in pull requests.

fabric8-analytics/fabric8-analytics-devops/fabric8-analytics-chaos/src/main/resources/chaos/fabric8-analytics.storage-email.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: fabric8-storage-email-pv-volume
spec:
capacity:
storage: 5Gi
accessModes:
– ReadWriteMany
nfs:
server: storage-service.ocp4.silver.devshift.org
path: “/var/lib/mail”
—
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: fabric8-storage-email-pvc
spec:
accessModes:
– ReadWriteMany
volumeName: fabric8-storage-email-pv-volume
resources:
requests:
storage: 5Gi
—
apiVersion: apps/v1
kind: Deployment
metadata:
name: fabric8-storage-email
spec:
replicas: 1
template:
metadata:
labels:
name: fabric8-storage-email
spec:
containers:
– name: fabric8-storage-email
image: f8analytics/fabric8-mailserver
imagePullPolicy: Always
volumeMounts:
– name: email-storage
mountPath: “/var/lib/mail”
subPath: maildir
volumes:
– name: email-storage
persistentVolumeClaim:
claimName: fabric8-storage-email-pvc
securityContext:
fsGroup: 33.image {
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