Infrastructure Audit

Modern information systems consist of many interconnected subsystems. Each of them operates according to its own software methodology and, as a rule, is built on a separate software stack. We assess your stack and help you tune it.

The audit is conducted in two stages:

I. Audit of monitoring and critical problems

  • Operational analysis of the current architecture to identify and address critical problems and, if necessary, make changes to the architecture
  • Audit of monitoring systems in the existing infrastructure
  • Improvement of monitoring systems based on identified infrastructure features
  • Audit of the failure alert system
  • Improvement and adjustment of the failure alert system based on identified infrastructure features
  • Audit of the organization of duty shifts, proposals for improvement based on our own company’s experience
  • Audit of escalation plan within the technical support department
  • Documentation based on the audit results

II. Audit of infrastructure

  • Analysis of infrastructure stability
  • Audit of the reliability of backup systems, suggestions for improvement
  • Analysis of the operation of project backup systems, proposals for improving backup systems, organization of a plan for regular switching to the backup site
  • Analysis of DBMS operation, suggestions for improvement
  • Consultations on working with technologies from the Apache Foundation and their applicability in the company's infrastructure
  • Documentation with recommendations for applying the proposed changes in the operation of the company's infrastructure

Technology stack:

The technologies we apply in DevOpsProdigy include but not limited to the following:

  • Monitoring and visualization systems - Prometheus, Grafana, TICK Stack, Zabbix, Nagios, Icinga
  • Logging systems - ELK, Graylog
  • Tracing systems - Jaeger, Zipkin, Istio
  • APM - NewRelic, DataDog
  • Web and application servers - Nginx, Apache, HAProxy, Jetty, Tomcat, PM2
  • Programming languages - PHP, Java, Ruby , Python, Node.js, Go, C#
  • Cloud computing platforms and services - Amazon AWS, Google Cloud Platform, Microsoft Azure, Rackspace, Alibaba Cloud
  • DevOps tools and services - Docker, Docker Swarm, K8S, Nomad, Mesos/Marathon, Jenkins, Gitlab, GoCD, Heroku, Teamcity, Bitbucket stack (Bamboo, Stash), Consul, ZooKeeper, Ansible, Puppet, Chef, Terraform, SaltStack
  • Data solutions and stores - MySQL, PostgreSQL, Sybase, MS-SQL, MongoDB, Riak, Aerospike, Redis, Tarantool
  • Database management and file systems - Cassandra, HDFS (Impala, Hive), ClickHouse, GreenPlum
  • Dataflow analytics engines - Spark, Flink, Hadoop
  • Workflow management and data routing systems - Apache Airflow, Apache NiFi
  • Message brokers - RabbitMQ, Kafka, ActiveMQ, Mosquitto

Tell us about your setup and we'll tell you how we can help

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