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Java 6yr.
K6 3yr.
Appium 2yr.
QA
JavaScript
Kotlin
Swift
TypeScript
Android Studio
Google Analytics
Kibana
MongoDB
MySQL
PostgreSQL
Agile
Kanban
Android Studio
Microsoft Visual Studio Code
XCode
Atlassian Confluence
Atlassian Trello
Jira
Miro
Charles Proxy
Cucumber
Cypress
Espresso
Fiddler
Mocha
Selenium Webdriver
TestRail
XCUITEST
CI/CD
Datadog
Sentry
Detox
Load
Logz.io
Segment
Soak
Stress
XCUI
...

- 8+ years of working experience in software testing and quality assurance - Led QA guild (6 resources) and championed App release, Release sign-off, bug triage duty, and QA Onboarding process - Experience in performance testing (Load, Soak, Stress, etc) and producing metrics using the K6 framework and Datadog - Strong understanding of Agile/Kanban software development methodologies and testing life cycle - Key strengths in functional and non-functional testing across multiple platforms such as web, mobile (iOS, Android), and API Services - Experience in web and mobile automation testing and designing the required framework using Detox, XCUI, Espresso, Cypress, Selenium etc. - Familiarity with Database management systems such MySQL, PostgreSQL and MongoDB - Familiarity with DevOps practices and CI/CD pipeline - Advanced English

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Seniority Senior (5-10 years)
Location London, United Kingdom
Ruby 5yr.
Ruby on Rails 5yr.
PostgreSQL 4yr.
React 3yr.
CoffeeScript
JavaScript
TypeScript
Bootstrap
CSS
HAML
HTML
jQuery
Pure CSS
SASS
SCSS
Capybara
Sidekiq
Preact
Firebase
Redis
Slim
Heroku
AWS CloudFront
AWS S3
Capybara
Jest
RSpec
Datadog
Firebase
sendgrid
Google Maps API
Stripe
Twilio
...

- Middle Ruby on Rails engineer with over 5 years of commercial experience in web development. - Experience in integration of payment and messaging systems and high-performance application development. - Upper-Intermediate English - Available ASAP

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Seniority Middle (3-5 years)
Location Cherkasy, Ukraine
Python
Angular
Bootstrap
CSS
HTML
BS4
Dependency Injector
Django
Django Ninja
Dramatiq
Graphene
Mypy
NumPy
Pandas
Pydantic
Pydentic
PyTest
rq
Salesforce
MongoDB
MySQL
PostgreSQL
Redis
SQLAlchemy
NumPy
AWS
AWS EC2
AWS S3
Celery
Kafka
Datadog
Sentry
Docker
FastApi
GraphQL
Git
Jira
Kanban
Scrum
Kubernetes
Linux
Windows
PyTest
Selenium
Salesforce
...

- Experience in Python development more than 5 years - Knowledge and understanding of principles and methodologies of software design - Proficiency in Python development - Deep knowledge of Web development technologies - Experience with scrapers, extracting data from sites, serializing and validating data - Strong computer science expertise and commercial experience in web services architecture and development - Strong analytical skills, well knowledge in math, high level of responsibility - Prefer to research things as deep as it is possible and come up with new solutions - Communicative, team-player, self-motivated - Upper-Intermediate English - Available ASAP

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Seniority Senior (5-10 years)
Location Ukraine
PHP
Go
JavaScript
React
AWS ElasticSearch
Memcached
MongoDB
MySQL
PostgreSQL
Redis
Laravel
AWS
AWS ElasticSearch
Agile
Scrum
SOAP
Apache HTTP Server
Nginx
Chef
CI/CD
Kubernetes
Datadog
Prometheus
Docker
Terraform
Vagrant
Git
HTTP
sockets
SSH
Kafka
RabbitMQ
QA Automation
RESTful API
API-platform
databases
Data Structures
Infrastructure cost optimization
State machine
Stryker
Symfony 4
System Design
Valet
Yii 2
...

- Experienced Software Engineer with 8 years of commercial experience in demanding environments, focused on producing cutting-edge systems for businesses. - Skilled in infrastructure cost optimization, Kubernetes, and Terraform. - Proficient in PHP, JavaScript, Golang, and various databases such as MySQL, PostgreSQL, and MongoDB. - Extensive experience with Amazon Web Services (AWS) and containerization technologies like Docker. - Strong background in computer science with a Master's degree in Computer Science. - Familiar with Agile and Scrum methodologies, as well as software development practices and SDLC. - Excellent communication skills and fluent in Ukrainian with advanced English proficiency.

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Seniority Senior (5-10 years)
Location Turkey
Python 10yr.
SQL 10yr.
Talend ETL 10yr.
AWS EC2
Apache Airflow
PHP
Apex DataLoader
Salesforce
Jasperreports
Schedulers
Pandas
PySpark
AWS Athena
Jupyter Notebook
Presto S3
AWS ElasticSearch
AWS Redshift
Microsoft SQL Server
MySQL
Oracle Database
PostgreSQL
SQLAlchemy
Teradata
AWS Boto3
AWS Cloudformation
AWS ElasticSearch
AWS EMR
AWS Lambda
AWS Redshift
AWS S3
Google Data Studio
Datadog
JMeter
New Relic
Salesforce
C/C++/C#
Cloud IAM
MWAA
RDS
RMAN
Unix\Linux
...

- Senior Data Engineer with 10+ of experience specializing in designing, optimizing, and maintaining data infrastructures, data flow automation, and algorithm development. - Has expertise in Python, SQL/NoSQL, ETL processes, PySpark, Apache Airflow, and an array of AWS services, complemented by a strong foundation in database systems and cloud-based solutions. Proven capability in handling large-scale data analytics and processing with a focus on performance and cost efficiency in cloud environments. Proficient in developing robust ETL pipelines, performing data migrations, and optimizing complex queries and storage procedures, leveraging extensive experience across multiple industries and platforms. - Start: ASAP - English: Upper-Intermediate

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Seniority Expert (10+ years)
Location Limassol, Spain
QA Automation 5yr.
Python
CI/CD
AWS
Java
JavaScript
Android Studio
CSS
HTML
Pandas
Plotly
PyTest
Apache Airflow
Microsoft Power BI
Periscope
AWS Redshift
MongoDB
MySQL
PostgreSQL
Snowflake
SQL
AWS SageMaker (Amazon SageMaker)
Zoho
AWS ECR
AWS Elastic Kubernetes Service (EKS)
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS Redshift
AWS S3
AWS SageMaker (Amazon SageMaker)
AWS Secrets Manager
AWS SQS
Agile
Kanban
Scrum
SDLC
Waterfall
Allure
API testing
Charles Proxy
Fiddler
Functional Testing
Hiptest
JMeter
Katalon
non-functional testing
Postman
PyTest
QA
Selenium Webdriver
Sitechko
TestLink
Android
Android Studio
PyCharm
API testing
Swagger
Atlassian Trello
Jira
Redmine
BitBucket
Git
CircleCI
Jenkins
Datadog
Graylog
Sentry
Docker
Vagrant
iOS
macOS
Windows
TM4J
...

- 5 years with QA automation - Strong testing theory understanding. Defect life cycle and issue workflow understanding, Experience in creating and executing test cases. Reporting - Experience with data and BI tools - DevOps experience with CI/CD, pipelines, Docker, AWS, SQL

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Seniority Senior (5-10 years)
Location Lviv, Ukraine
.NET 6yr.
JavaScript 5yr.
C# 6yr.
SQL 6yr.
TypeScript 5yr.
PHP 1yr.
Cassandra 1yr.
VBA
Angular JWT
Lodash
Node.js
React
Redux
SinonJS
Styled components
ASP.NET MVC Pattern
ASP.NET WebForms
Entity Framework
VBA
Crashlytics
CSS
HTML
Material UI
Styled components
AWS DynamoDB
Microsoft SQL Server
MongoDB
PostgreSQL
AWS DynamoDB
AWS Lambda
AWS S3
AWS SAM
AWS Secrets Manager
AWS SQS
Azure App Service
Azure DevOps
Azure Functions
Azure Key Vault
Atlassian Confluence
BitBucket
Git
Github Actions
Chai
Datadog
Docker
GitLab CI
Kubernetes
Jest
JMeter
NUnit
Postman
xunit
microservices architecture
Microsoft Office 365
MQQT
RESTful API
Swagger
AutoMapper
Moq
Okta
Serilog
Step functions
Twilio SDK
...

- Experienced software engineer with 6 years of experience in full-stack development, specializing in creating qualitative web applications. - Utilizing diverse technologies, including C#, .NET Core, ASP.NET WebAPI, React, Redux, React Native, and various Azure services, showcasing a strong technical skill set. - Has 2+ years of experience working on high-load projects like complex public transport monitoring and scheduling system and graduate helper start-up - Has experience in successfully transitioning from Node.js to .NET and working with different microservices written in PHP and other languages. - Familiar with cloud technologies such as Azure DevOps, Azure Functions, AWS Lambda, AWS S3, and Firebase. - Experienced in database management systems, including MS SQL Server, PostgreSQL, MongoDB, Azure Cosmos DB, and AWS DynamoDB. - Knowledgeable in DevOps practices using Docker and Kubernetes. - Upper-Intermediate English

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Seniority Senior (5-10 years)
Location Georgia
Terraform
Docker
CI/CD
Cloud solutions
PHP
VBA
Ember.js
NestJS
Next.js
Node.js
React
VBA
Kibana
ELK stack (Elasticsearch, Logstash, Kibana)
Microsoft SQL Server
MySQL
Symfony
AWS
Azure
GCP (Google Cloud Platform)
Rackspace
Azure
Azure Key Vault
Hyper-V
Apache Maven
ArgoCD
CircleCI
GitLab CI
Helm Charts
Jenkins
Jenkins pipeline
Kubernetes
OpenVPN
Sonarqube
BitBucket
Github Actions
cPanel
Datadog
Grafana
Logstash
Prometheus
Zabbix
Docker Compose
IPSec VPN
OpenVPN
Proxmox
Rancher
Fastlane
WordPress
IPSec VPN
IPv6
OpenVPN
Kafka
RabbitMQ
Keycloak
Windows API
LAMP
Windows Server
microservices architecture
Bareos
CIS Benchmarks
Ext JS
Hashicorp Vault
IOT
k3s
LEMP
Semantic UI
Semantic Versioning
Symantec Endp
Veeam backups
...

DevOps Engineer with 15 years in IT and 8 specializing in DevOps/SysOps. Expertise in cloud, CI/CD, and security enhancements. Proficient with Kubernetes, Terraform, AWS, and various CI tools. Recognized for infrastructure optimization, cost reduction, and system robustness. Holds an Applied Mathematics degree and is fluent in English and Ukrainian. Portfolios include telecom analytics solutions, SaaS platforms, and system migrations, with a strong focus on scalability, monitoring, and compliance.

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Seniority Expert (10+ years)
Location Ukraine
Cloud Security
AWS
Azure
GCP (Google Cloud Platform)
Oracle OCI
Azure
Azure VM
Ansible
DevOps
Datadog
Nagios
Prometheus
Linux
macOS
Windows
Oracle WebLogic Application Server
Terraform
VmWare
& BMC Remedy
CASB
Cisco ASA
Cloud Native tools
DB to Oracle OCI
DELL
Dell Sonicwall
Dynatrace
EndPoint Security
Fortinet
FreshDesk
HIPPA
HP
Netskope
Oracle VM
P2V
PaloAlto
Prisma Cloud
Proxies
Service Now
Solarwinds
Unicentre
V2V
...

- Extensive experience around 14 years in working on On-premises, Cloud Technologies, Network Security. - Experience of 7+ years in designing cloud projects. Experience in designing enterprise public cloud solutions (Oracle OCI, Azure, AWS) experience of stakeholder management within complex organizations. - Extensive experience in implementing Cloud security using the tools CSPM, Prisma Cloud, Netskope CASB, Nessus on Multi cloud environments and security best practices. - Fluent English - Available ASAP

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Seniority Senior (5-10 years)
Location Hyderabad, India

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager
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Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
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Unisoft
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TOP 10 Datadog Related Technologies

  • Python

    Python is a versatile and powerful programming language widely used in data analysis and backend development. Its simplicity and vast ecosystem make it an excellent choice for building applications and integrating with various frameworks.

  • JavaScript

    JavaScript is a popular programming language used for web development. Its flexibility and ability to run on both the client and server-side make it a crucial language for building interactive web applications.

  • Java

    Java is a robust and widely adopted programming language known for its scalability and security features. It is commonly used for building enterprise-level applications and Android development.

  • React

    React is a widely used JavaScript library for building user interfaces. Its component-based architecture and virtual DOM make it efficient for creating interactive and responsive web applications.

  • Node.js

    Node.js is a runtime environment that allows developers to run JavaScript on the server-side. It enables building scalable and high-performance network applications, making it ideal for backend development.

  • AWS

    Amazon Web Services (AWS) is a cloud computing platform offering various services like storage, database, and compute power. It provides scalable and cost-effective solutions for deploying and managing applications.

  • Docker

    Docker is a containerization platform that simplifies the deployment and management of applications. It allows developers to package their software and its dependencies into containers, ensuring consistent performance across different environments.

Pros & cons of Datadog

6 Pros of Datadog

  • Datadog provides a comprehensive monitoring solution that allows you to collect, analyze, and visualize metrics from various sources, including servers, containers, applications, and more.
  • With Datadog, you can easily track the performance and health of your infrastructure in real-time, enabling you to identify and resolve issues quickly.
  • It offers a wide range of integrations with popular tools and services, such as AWS, Azure, Kubernetes, and Docker, allowing you to monitor your entire stack in one place.
  • Datadog provides powerful alerting capabilities, allowing you to set up custom alerts based on specific conditions or thresholds, ensuring that you are notified promptly when something goes wrong.
  • The platform offers advanced analytics and visualization features, including customizable dashboards and interactive graphs, enabling you to gain deep insights into your data and make informed decisions.
  • Datadog’s support team is highly responsive and knowledgeable, providing timely assistance and guidance whenever you encounter any difficulties or have questions.

6 Cons of Datadog

  • Datadog can be relatively expensive, especially for organizations with large-scale infrastructures or extensive monitoring needs.
  • Some users have reported occasional performance issues, such as delays in data ingestion or dashboard loading, although these instances are relatively rare.
  • While Datadog offers a wide range of integrations, there may be some niche or less commonly used tools or services that are not directly supported.
  • Configuring and fine-tuning alerts in Datadog may require some initial effort and expertise to set up effectively, especially for complex or dynamic environments.
  • The learning curve for new users can be steep, particularly for those who are not familiar with monitoring concepts or have limited experience with similar platforms.
  • Datadog’s user interface may feel overwhelming at first, with a large number of features and options, but with time and practice, it becomes more intuitive and manageable.

TOP 10 Tech facts and history of creation and versions about Datadog Development

  • Datadog was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc.
  • The company’s primary goal was to provide a unified monitoring platform for cloud applications.
  • Datadog’s first product, released in 2011, focused on infrastructure monitoring, allowing users to collect and analyze data from servers, databases, and other components.
  • In 2013, Datadog expanded its capabilities by introducing application performance monitoring (APM), enabling developers to gain insights into the performance of their code and identify bottlenecks.
  • One of Datadog’s groundbreaking features is its ability to automatically detect and correlate events across different services, helping teams troubleshoot issues quickly.
  • In 2015, Datadog introduced its Logs product, enabling users to aggregate, search, and analyze log data from various sources, providing valuable insights into system behavior and debugging.
  • Datadog’s platform has evolved over the years to support a wide range of integrations with popular technologies and services, including cloud providers, databases, messaging systems, and more.
  • The company went public in September 2019 and is listed on the Nasdaq stock exchange under the ticker symbol “DDOG.”
  • Datadog has continued to innovate, releasing features such as synthetic monitoring, real-time process monitoring, and security monitoring to address the evolving needs of modern software development and operations teams.
  • As of 2021, Datadog serves thousands of customers worldwide, including renowned companies like Adobe, Spotify, and Samsung.

What are top Datadog instruments and tools?

  • Datadog APM: Datadog’s Application Performance Monitoring (APM) tool provides real-time insights into the performance of your applications. It allows you to monitor and trace requests, identify bottlenecks, and optimize your application’s performance. APM supports various programming languages and frameworks, giving you deep visibility into your application stack.
  • Datadog Infrastructure Monitoring: Datadog’s Infrastructure Monitoring tool enables you to monitor the health and performance of your infrastructure components. It provides comprehensive visibility into your cloud, hybrid, and on-premises infrastructure, allowing you to track metrics, set alerts, and troubleshoot issues. With integrations for popular platforms like AWS, Azure, and Google Cloud, it offers centralized monitoring across your entire infrastructure.
  • Datadog Log Management: Datadog’s Log Management tool allows you to collect, analyze, and visualize your log data in real-time. It supports various log formats and sources, making it easy to aggregate logs from different applications and systems. With advanced filtering and searching capabilities, you can quickly identify and troubleshoot issues within your logs.
  • Datadog Synthetic Monitoring: Datadog’s Synthetic Monitoring tool enables you to simulate user interactions with your applications and APIs. It helps you proactively monitor the availability and performance of your critical transactions from different locations around the world. Synthetic tests can be scheduled at regular intervals to ensure consistent monitoring and provide early insights into potential issues.
  • Datadog Network Performance Monitoring: Datadog’s Network Performance Monitoring tool allows you to gain visibility into your network infrastructure and monitor its performance. It provides real-time insights into network traffic, latency, and packet loss, helping you identify network bottlenecks and troubleshoot connectivity issues. With customizable dashboards and automated alerts, you can proactively manage your network performance.
  • Datadog Security Monitoring: Datadog’s Security Monitoring tool helps you detect and investigate security threats within your environment. It provides real-time visibility into your infrastructure’s security posture, allowing you to monitor for suspicious activities, vulnerabilities, and misconfigurations. With integrations for popular security tools, you can centralize your security monitoring and streamline incident response.
  • Datadog Real User Monitoring: Datadog’s Real User Monitoring (RUM) tool allows you to understand how your users experience your applications. It provides insights into page load times, user interactions, and performance across different browsers and device types. RUM helps you identify performance bottlenecks and optimize your application for better user experiences.
  • Datadog Incident Management: Datadog’s Incident Management tool helps you streamline and automate your incident response processes. It provides a centralized platform for tracking incidents, collaborating with teams, and resolving issues efficiently. With integrations for popular communication tools and automation capabilities, you can reduce downtime and improve incident resolution times.
  • Datadog Serverless Monitoring: Datadog’s Serverless Monitoring tool enables you to monitor the performance and usage of your serverless functions. It provides detailed insights into function invocations, durations, and errors, helping you optimize resource allocation and troubleshoot issues. With support for AWS Lambda, Azure Functions, and Google Cloud Functions, you can monitor your serverless applications across different cloud providers.
  • Datadog IoT Monitoring: Datadog’s IoT Monitoring tool allows you to monitor the health and performance of your IoT devices and applications. It provides real-time visibility into device metrics, connectivity status, and telemetry data. With integrations for popular IoT platforms, you can monitor and analyze your IoT ecosystem to ensure optimal performance and reliability.
  • Datadog Compliance Monitoring: Datadog’s Compliance Monitoring tool helps you maintain compliance with industry regulations and standards. It provides pre-built compliance checks and reports, allowing you to monitor and validate your infrastructure’s adherence to security best practices. With automated assessments and audit trails, you can simplify compliance monitoring and reporting processes.
  • Outstanding: Datadog’s Observability Platform: Datadog’s Observability Platform brings together all the instruments and tools mentioned above, providing a comprehensive solution for monitoring and troubleshooting your entire stack. With centralized dashboards, intelligent alerts, and powerful analytics, it allows you to gain deep insights into your applications, infrastructure, and security. The platform’s scalability and ease of use have made it a popular choice among organizations of all sizes.

Hard skills of a Datadog Developer

As a Datadog Developer, you need to possess a range of hard skills to excel in your role. Here are the key hard skills required at different levels – Junior, Middle, Senior, and Expert/Team Lead:

Junior

  • Python: Proficiency in Python programming language for developing and maintaining code.
  • Monitoring and Alerting: Understanding of monitoring and alerting concepts, and ability to configure and manage alerts in Datadog.
  • Data Visualization: Knowledge of data visualization tools like Grafana or Kibana to create meaningful visual representations of data.
  • Infrastructure Monitoring: Familiarity with monitoring infrastructure components such as servers, databases, and cloud services.
  • Basic Troubleshooting: Ability to troubleshoot and resolve basic issues related to monitoring and alerting.

Middle

  • API Integration: Experience in integrating Datadog with various APIs to collect and analyze data from different sources.
  • Anomaly Detection: Understanding of anomaly detection techniques and ability to set up anomaly detection in Datadog.
  • Log Management: Proficiency in log management tools like Elasticsearch or Splunk for analyzing and troubleshooting log data.
  • Performance Optimization: Knowledge of performance optimization strategies to ensure efficient data collection and processing in Datadog.
  • Dashboard Creation: Ability to create customized dashboards in Datadog to visualize key metrics and KPIs.
  • Scripting: Proficiency in scripting languages like Bash or PowerShell for automation and task scheduling.
  • Database Monitoring: Expertise in monitoring and optimizing the performance of databases like MySQL or PostgreSQL.

Senior

  • Advanced Analytics: Ability to perform advanced analytics using tools like Machine Learning or Statistical Analysis in Datadog.
  • Capacity Planning: Proficiency in capacity planning techniques to forecast resource requirements and optimize infrastructure.
  • Incident Response: Experience in incident response and management, including root cause analysis and problem resolution.
  • Security Monitoring: Knowledge of security monitoring practices and ability to configure security-related alerts and policies in Datadog.
  • Container Monitoring: Expertise in monitoring containerized environments using tools like Docker or Kubernetes.
  • CI/CD Integration: Experience in integrating Datadog into CI/CD pipelines for continuous monitoring and feedback loop.
  • Team Collaboration: Ability to lead and collaborate with a team, providing guidance and mentorship to junior developers.
  • Advanced Troubleshooting: Proficiency in advanced troubleshooting techniques and ability to resolve complex issues.

Expert/Team Lead

  • Architecture Design: Ability to design and architect monitoring solutions for complex and distributed systems.
  • Performance Tuning: Expertise in performance tuning and optimization of Datadog infrastructure for maximum efficiency.
  • Data Governance: Knowledge of data governance principles and best practices for ensuring data quality and compliance.
  • Cost Optimization: Ability to optimize costs by analyzing resource utilization and making recommendations for optimization.
  • Project Management: Experience in managing and leading projects, including planning, resource allocation, and progress tracking.
  • Data Engineering: Proficiency in data engineering concepts and techniques for efficient data collection and processing.
  • Vendor Management: Experience in managing vendor relationships and evaluating new tools and technologies for monitoring.
  • Continuous Improvement: Ability to drive continuous improvement initiatives and implement best practices across the team.
  • Business Impact Analysis: Expertise in conducting business impact analysis and identifying critical metrics for monitoring.
  • Technical Documentation: Proficiency in documenting technical processes, architectures, and troubleshooting guides.
  • Leadership: Strong leadership skills, including the ability to inspire and motivate team members, and make strategic decisions.

How and where is Datadog used?

Case NameCase Description
Monitoring Microservices ArchitectureDatadog Development provides comprehensive monitoring capabilities for microservices architecture. It allows developers to track and monitor the performance of individual microservices, identify bottlenecks, and optimize resource usage. With real-time visibility into service dependencies and performance metrics, developers can easily identify and resolve issues, ensuring the smooth operation of their microservices-based applications.
Application Performance MonitoringDatadog Development offers powerful application performance monitoring (APM) features, allowing developers to gain deep insights into the performance and behavior of their applications. It provides detailed metrics on response times, error rates, throughput, and resource utilization. By analyzing this data, developers can identify performance bottlenecks, optimize application code, and enhance overall user experience.
Infrastructure MonitoringDatadog Development enables developers to monitor and analyze the health and performance of their infrastructure components, including servers, databases, and cloud services. It provides real-time visibility into resource utilization, network traffic, and system metrics. By proactively monitoring infrastructure, developers can identify and resolve issues before they impact application performance, ensuring high availability and reducing downtime.
Log Management and AnalysisDatadog Development offers robust log management and analysis capabilities, allowing developers to centralize and analyze logs from various sources. It provides powerful search and filtering options, making it easy to identify specific log entries and troubleshoot issues. By aggregating logs in a single platform, developers can gain valuable insights into application behavior, detect anomalies, and ensure compliance with security and audit requirements.
Collaborative Incident ResponseDatadog Development facilitates collaborative incident response by providing real-time alerts and notifications. Developers can set up customized alert rules based on predefined thresholds or specific events. When an incident occurs, relevant team members are immediately notified, enabling quick and coordinated response. By streamlining incident management, Datadog Development helps reduce downtime and minimize the impact on end users.

Soft skills of a Datadog Developer

As a Datadog Developer, having strong soft skills is just as important as technical expertise. These skills enable effective communication, collaboration, and problem-solving, enhancing both individual and team performance. Here are the soft skills required at different levels of experience:

Junior

  • Adaptability: Ability to quickly learn and adapt to new technologies and tools.
  • Attention to Detail: Paying close attention to small details to ensure accurate and reliable data.
  • Time Management: Efficiently managing time and prioritizing tasks to meet deadlines.
  • Teamwork: Collaborating effectively with team members to achieve shared goals.
  • Communication: Clearly conveying ideas and information to both technical and non-technical stakeholders.

Middle

  • Problem-Solving: Analyzing complex issues and finding creative solutions.
  • Leadership: Taking ownership of projects and guiding junior team members.
  • Critical Thinking: Evaluating situations objectively and making informed decisions.
  • Conflict Resolution: Resolving conflicts within the team and fostering a positive work environment.
  • Mentoring: Sharing knowledge and providing guidance to junior developers.
  • Empathy: Understanding and empathizing with the needs and perspectives of colleagues and clients.
  • Presentation Skills: Effectively presenting technical information to different audiences.

Senior

  • Strategic Thinking: Developing long-term plans and strategies for complex projects.
  • Project Management: Successfully managing multiple projects and allocating resources.
  • Influence and Negotiation: Persuading others and negotiating win-win solutions.
  • Collaboration: Promoting collaboration across teams and departments for seamless integration.
  • Decision-Making: Making informed decisions based on data analysis and business objectives.
  • Client Relationship Management: Building strong relationships with clients and understanding their needs.
  • Continuous Learning: Staying updated with the latest industry trends and advancements.
  • Conflict Management: Effectively resolving conflicts and facilitating constructive discussions.

Expert/Team Lead

  • Strategic Leadership: Leading teams and aligning projects with organizational goals.
  • Technical Mentoring: Guiding and mentoring developers at all levels of experience.
  • Change Management: Managing and leading teams through organizational changes.
  • Business Acumen: Understanding the business context and making decisions that drive growth.
  • Innovation: Driving innovation and exploring new technologies and approaches.
  • Risk Management: Identifying and mitigating risks associated with complex projects.
  • Stakeholder Management: Building strong relationships with stakeholders at all levels.
  • Conflict Resolution: Resolving conflicts and fostering a collaborative work environment.
  • Strategic Partnerships: Establishing partnerships to enhance the organization’s capabilities.
  • Communication: Effectively communicating complex technical concepts to diverse audiences.
  • Team Building: Building high-performing teams and fostering a culture of collaboration.

Cases when Datadog does not work

  1. When the system being monitored is not connected to the internet, Datadog cannot function properly as it relies on sending data to its cloud-based platform for analysis and visualization.
  2. If the monitored system has strict firewall rules that prevent outgoing connections to external servers, Datadog may not be able to collect and send data, resulting in limited or no monitoring capabilities.
  3. In some cases, if the system being monitored has insufficient resources (such as CPU, memory, or disk space), Datadog’s agent may not be able to run efficiently or may fail to gather data accurately.
  4. When using custom integrations or specific configurations, there might be compatibility issues with Datadog. In such cases, the data may not be collected or visualized correctly.
  5. If the monitored application or infrastructure uses proprietary protocols or non-standard technologies that Datadog does not support out-of-the-box, it may require additional custom development or configurations to make it work.
  6. In rare situations, when there are disruptions or outages in the Datadog infrastructure itself, it can impact the availability and functionality of the monitoring service.

It is worth noting that while Datadog is a powerful and widely used monitoring tool, it may encounter limitations or challenges in certain scenarios. It is always recommended to thoroughly evaluate and test the compatibility of any monitoring solution with your specific environment before fully relying on it.

Table of Contents

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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FAQs on Datadog Development

What is a Datadog Developer? Arrow

A Datadog Developer is a specialist in the Datadog framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Datadog Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Datadog Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Datadog Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Datadog, then hiring a Datadog Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Datadog Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Datadog Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Datadog Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Datadog Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Datadog Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Datadog Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Datadog Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.