5 Minute read
DevOps is a collection of methods, technologies, and a mindset
that automates and integrates software development and IT teams'
processes. Team empowerment, cross-team communication and
collaboration, and technology automation are all emphasised.
People working together to develop, produce, and deliver secure
software at top speed is what DevOps is all about. Through
automation, collaboration, rapid feedback, and iterative
improvement, DevOps principles enable software developers (devs)
and operations (ops) teams to expedite delivery.
What are the benefits of DevOps?
According to Atlassian's 2020 DevOps Trends study, 99 percent of
respondents stated DevOps had had a positive impact on their
company. Faster and easier releases, increased team
productivity, increased security, higher quality products, and
happier teams and customers are all advantages of DevOps.
Speed: DevOps teams produce deliverables more
frequently, with improved quality and consistency. Elite
teams deploy 208 times more frequently and 106 times faster
than low-performing teams, according to the DORA 2019 State
of DevOps study. Teams can use automated technologies to
build, test, and deploy software using continuous delivery.
Improved collaboration: DevOps is built on a
collaborative culture in which developers and operations
teams share responsibilities and work together. This
increases team efficiency and reduces time spent on job
handoffs and writing code that is tailored to the
environment in which it runs.
Rapid deployment: : DevOps teams improve products
quickly by boosting the frequency and velocity of releases.
Quickly deploying new features and fixing bugs might give
you a competitive advantage.
Quality and reliability: Continuous integration and
delivery practises ensure that changes are functional and
safe, improving the quality of a software product.
Monitoring allows teams to stay up to date on performance in
Security: : DevSecOps is an active, integrated aspect
of the development process because it integrates security
into a continuous integration, continuous delivery, and
continuous deployment pipeline. By incorporating active
security audits and security testing into agile development
and DevOps workflows, security is integrated into the
The DevOps lifecycle and how DevOps works?
The DevOps lifecycle begins with software development and
continues with delivery, maintenance, and security. The
following are the ten stages of the lifecycle:
Manage: DevOps closes the loop by incorporating input
and lessons learned throughout the lifecycle into your
Plan: DevOps lays out the work that has to be done,
prioritises it, and keeps track of its progress.
Create: DevOps writes code, makes modifications, and
talks with coworkers about them.
Verify: DevOps tests code automatically to ensure it
is working properly.
Package: DevOps keeps the software in a form that
allows it to be reused in the future.
Secure: DevOps uses static and dynamic tests, fuzz
testing, and dependency scanning to determine whether the
software includes vulnerabilities.
Deployment: DevOps distributes software to end users.
Configure: DevOps is responsible for the management
of infrastructure and software platforms
Monitor: DevOps looks at how software affects
infrastructure and users. It also provides information to
aid in the appropriate response to situations.
Protect: DevOps ensures that the software's
infrastructure is secure by ensuring that containers are up
to date and locked down.
DevOps tools, concepts, and fundamentals
Across the application lifecycle, DevOps encompasses a wide
range of approaches. Customers begin their journey to DevOps
success with one or more of these approaches.
Source Code Management - - Organizations searching
for more efficient ways to coordinate changes to documents,
software, photos, large web sites, and other collections of
code, configuration, and metadata across multiple teams.
Agile Project & Portfolio Management - Teams seeking
for a more efficient means of starting, planning, executing,
controlling, and closing a team's work to fulfil particular
goals and deadlines.
Continuous Integration (CI) - Teams searching for
ways to automate the build and testing processes to ensure
that code is consistently integrated and that tests are run
frequently to reduce the amount of time spent manually
running unit and integration tests.
Continuous Delivery (CD) - Teams seeking for
automated techniques to develop, test, package, configure,
and deploy programmes to a target environment.
Shift Left Security - Teams seeking for ways to
uncover vulnerabilities during development and provide
actionable information to enable developers to remediate
vulnerabilities earlier in the lifecycle have defined goals
and must satisfy particular success criteria by a certain
Monitoring and Feedback - Teams are searching for
ways to incorporate monitoring into each deployed version,
as well as the impact of application modifications on
business value and user experience.
Rapid Innovation - Teams looking for ways to feed
feedback back into the development, test, packaging, and
deployment stages to close the loop and give real-time
feedback from customers and production environments.
DevOps is a direct descendent of agile software development, and
it was formed out of the necessity to keep up with increased
software development pace and productivity using agile
approaches. DevOps emerged because of advances in agile
development, which emphasised the need for a more holistic
approach to the software delivery life cycle.
The term "agile development" refers to a number of iterative
software development approaches, several of which have found
their way into DevOps:
Scrum - a Framework for addressing complex adaptive
challenges while providing the greatest possible value
Kanban - a method for organising product development
that focuses on continuous delivery while minimising the
development team's workload. Kanban, like Scrum, is a method
for assisting teams in working together more efficiently.
Scaled Agile Framework (SAFe) - a set of
organisational and workflow patterns designed to help
businesses scale lean and agile processes. SAFe is one of a
growing number of frameworks aimed at addressing the
challenges that come with scaling beyond a single team.
Lean development - applying the concepts and
practises of lean manufacturing to software development.
Lean provides a conceptual framework, values, and
principles, as well as best practises based on experience,
to help organisations become more agile.
Extreme programming (XP) - ) is a software
development process that aims to improve product quality and
adaptability to changing client needs. XP promotes frequent
releases with short iterations in order to boost
productivity and offer checkpoints where new client
requirements can be implemented. Other aspects of extreme
programming include working in pairs or conducting extensive
code reviews, unit testing all code, deferring programming
of features until they are required, a flat management
structure, code simplicity and clarity, anticipating changes
in the customer's requirements as time passes and the
problem becomes better understood, and frequent
communication with the customer.
DevOps is making huge inroads into IT businesses all across the
world, from early-stage startups to 100-year-old enterprises.
According to one survey, 74 percent of businesses have adopted
DevOps in some form.
What kinds of businesses are using DevOps? While web-native
"unicorns" like Etsy, Facebook, Amazon, and Netflix are
frequently identified as DevOps leaders, today's DevOps leaders
include businesses of all sizes. Other DevOps success stories in
the headlines include mainstream media business Sony Pictures,
financial services behemoth Barclays Bank, and construction
materials manufacturer USG.
Surprisingly, companies are leading the trend, with 81 percent
saying that DevOps is being used in some capacity within their
firm. DevOps is also proving beneficial to small and
medium-sized organisations (SMBs), with 70% claiming to use it.
Significantly, there is ample evidence that the size of an
organisation is not a reliable indicator of DevOps success.
The US Patent and Trade Office switched to DevOps and now sees
1,000 automated builds each week on average. Production
containers, automated workflows, and microservices are just a
few of the ways the General Services Administration (GSA) is
modernising its IT operations to deliver projects faster and
with higher quality.
List of few tools for DevOps
Version Control tools:
GitHub: : Github is widely regarded as one of the
world's largest and most advanced development platforms.
On GitHub, millions of developers and businesses create,
ship, and maintain their software. The following are some
of its most notable features:
- Collaborative Coding
- Automation / CI & CD
Security including additional features for enterprise
- Project Management
- Source: github.com
Bitbucket: With over 10 million registered users,
Bitbucket is an extremely popular platform. It's not
simply a platform for hosting code; it's also a platform
for code management. From a single platform, teams can
plan projects, collaborate on code, test, and deploy. The
following are some of its characteristics:
- Tighter Jira and Trello integration.
- Integrated CI/CD to build, test and deploy.
Pull requests and approve code review more
Keep your code secured in the Cloud with IP
whitelisting and 2-step verification.
GitLab: It's an all-in-one DevOps tool that helps
you release software quickly. It allows teams to do all
duties, from planning to supply chain management to
delivery to monitoring and security. Here are a few of its
Single interface, single conversation thread, and
single data store to manage projects effectively –
Single source of truth.
CI/CD for robust, scalable, and end-to-end automation
to work together efficiently – Continuous Everything.
Built-in functionality for Automated Security, Code
Quality and Vulnerability management & with tight
governance, your DevOps speed never slows down.
Container Management tools:
Docker: Docker is a lightweight technology that
uses an integrated approach to simplify and expedite
various activities in your SDLC. A docker container image
is a self-contained, executable package that contains
everything you need to run a programme. The following are
some of its key characteristics that have helped it become
a must-have among DevOps tools:
Standardized Packaging format for diverse
Container runtime that runs on various Linux and
Windows Server OSs.
Developers uses Docker for build, test and
Docker Hub to explore millions of images from
community and verified publishers.
Package, Execute and Manage distributed applications
with Docker App.
Kubernetes: Kubernetes is an open-source DevOps
solution that automates the deployment and management of
containerized applications and is perhaps the most widely
used container orchestration tool. The following features
set it apart from other DevOps tools:
Make changes to your application or its configuration
and monitoring application health simultaneously –
Automated rollouts & rollbacks.
It offers own IP addresses and a single DNS name for a
set of Pods – Service Delivery and load balancing.
Automatically mount the storage system of your choice.
- Self-healing capability.
Mesos: Apache Mesos is a DevOps tool for cluster
management. It's a distributed systems kernel that manages
and schedules resources across entire datacenters and
cloud environments. It has the following features:
Offers native support to launch containers with Docker
and AppC images.
Supports cloud-native and legacy applications to run
in the same cluster with pluggable scheduling
Runs on cross platforms like Linux, OSX and Windows.
- Scale to 10,000s of nodes easily.
Application Performance Monitoring tools:
Prometheus: : Prometheus is a community-driven
open-source performance monitoring system. It also allows
you to monitor containers and set up alarms based on time
series data. The following functionalities are included in
Scaling with the help of functional sharding and
Numerous client libraries allow easy service
- Powerful reporting capabilities through PromQL.
Dynatrace: Application performance, digital
experience, business analytics, AIOps, and infrastructure
monitoring are all covered. It has the following
- Automate orchestration with open APIs.
Provides extensive cloud support and compatible with
all major db technologies.
Dynatrace APM solution provides automatic quality
checks and KPIs.
- AI Driven problem detection and resolution.
AppDynamics: AppDynamics provides real-time
insights into the performance of applications. This DevOps
tool keeps track of and reports on all transactions that
pass through your application. It has the following
Agents are Intelligent and know when to capture the
details of transactions.
Solves performance problems through an
Automatically finds out normal performance and stop
Smart Analytics enables to find and fix issues from
the very beginning.
- Enables full system-wide data recording.
Deployment & Server Monitoring tools:
Splunk: Splunk is a monitoring and exploration tool
that is available as a SaaS or on-premises solution. It
has the following features:
i. Monitor and troubleshoot across your
infrastructure, including physical, virtual, or in the
ii. Modernize applications for better customer
experiences through accelerated innovation.
iii. AIOps with Machine Learning for predictive
alerting and auto-remediation.
iv. Improved Efficiency in MTTA with mobile-first,
automated incident response.
Datadog: : Datadog is a cloud-based DevOps
solution for monitoring servers and apps in hybrid cloud
environments. It also makes Docker container monitoring
easier. Some of its more notable traits include:
Seamlessly aggregates metrics and events across the
full DevOps stack.
Offers end-to-end user experience visibility in a
Prioritizes business and engineering decisions with
user experience metrics.
- Built to give visibility across teams.
Sensu: Sensu is a devops tool for monitoring cloud
environments that is open-source. It's simple to set up
using Puppet and Chef. It has the following
The Sensu Observability Pipeline is integrated, secure
and scalable. Collaboration between development and
operations relies on self-service workflows with
integrated authentication solutions.
Declarative setups and a service-based monitoring
strategy allow you to define the monitoring insights
that are most important to you, automating your
workflows so you can focus on what matters.
Configuration Management tools:
Chef: Chef is an open-source DevOps tool for
automation and configuration management built by Erlang
and Ruby. Its features are:
“Cookbooks” which facilitates infrastructure coding in
languages specific to domains.
Easily integrated with cloud platforms like Amazon
AWS, MS Azure, GCP etc.
- Configuration as code.
Puppet: Puppet is responsible for managing and
automating your infrastructure and complex workflows in a
simplistic manner. Features of this DevOps Tool are:
Automate and simplify critical manual tasks by
extracting configuration details across various
operating systems and platforms.
When you have 100, 1000 of severs or a mixed
environment or when you have to plans to scale your
infrastructure, it becomes difficult to maintain all
servers in a certain state - Puppet helps you in
saving time and money, scaling effectively and do this
Ansible: Ansible delivers simple IT automation
that ends repetitive tasks and frees up teams for more
strategic work. Focusing on two key use-cases:
Configuration management – Aim to be the simplest
solution and designed to be minimal in nature,
consistent, secure and highly reliable, with a focus
on getting started quickly for administrators,
developers and IT managers.
Orchestration - Ansible’s library of modules and easy
extensibility, makes it simple to orchestrate
different conductors in different environments, all
using one simple language.
CI / Deployment Automation tools:
Bamboo: It's a DevOps tool that guides you through
the entire Continuous Delivery process, from coding to
deployment. It allows you to connect automated builds,
tests, and releases in a single workflow. The following
are some of its most notable features:
Allows users to create multi-stage build plans and set
up triggers to start builds upon commits.
Parallel automated tests unleash the power of Agile
Development and make catching bugs easier and faster.
- Tighter integration with Jira, Bitbucket.
Jenkins: Jenkins is an open-source continuous
integration and continuous delivery technology written in
Java that automates your end-to-end release management
lifecycle. Jenkins has become one of the most important
DevOps tools due to the following features:
Used as a simple CI server or turned into the CD hub
for any project.
Easily set up and configured via its web interface,
which includes on-the-fly error checks and built-in
Easily distribute work across multiple machines,
helping drive builds, tests and deployments across
multiple platforms faster.
IBM UrbanCode: IBM UrbanCode, as a deployment
automation and release management system, ensures that any
combination of on-premises, mainframe, and cloud
applications is delivered without interruption. The
following are some of its characteristics:
Uses an enterprise-optimized solution along with
development, testing and release tools to enhance
Automates application development, middleware
configuration, and database changes.
Test Automation tools:
Test.ai: It is an AI-powered automation testing
tool to release apps faster and with better quality. Its
- Build tests without coding or scripting.
- Accelerate testing to the speed of DevOps.
- Scale testing to any platform, any app.
Maintain tests automatically and improve quality
Ranorex: An all-in-one solution for any type of
automated testing, whether it is cross-browser testing or
cross-device testing. Its features include:
All the tools you need for test automation comes in a
- Test on real devices or simulators/emulators.
Allows simple integration with CI servers, issue
tracking tools, and more.
Selenium: It's mostly used to test online apps,
but it can also be used to automate other web-based admin
activities. There are three parts to this:
Selenium WebDriver enables you to build comprehensive,
browser-based regression automation suites and tests,
as well as scale and distribute scripts across a
variety of settings.
Selenium IDE is a Chrome and Firefox add-on that
allows you to easily record and replay browser
Selenium Grid allows you to scale your testing efforts
by allowing you to run tests on several machines and
manage various environments from a single location.
Artifact Management tools:
Sonatype NEXUS: Sonatype claims to be the world's
#1 repository manager, distributing parts and containers
to developers effectively and functioning as a single
source of truth for all of your components, binaries, and
build artefacts. It has the following characteristics:
Offers universal support for all popular build tools.
Efficiency and flexibility to empower development
JFRog Artifactory: As all container images,
packages, and Helm charts go through the DevOps pipeline,
it serves as the one source of truth. It has the following
Scale with active/active clustering and multi-site
replication for your DevOps setup.
Allows you to choose the tool stack and integrates
with your environment.
Release faster and automate your pipeline via powerful
CloudRepo: Private Maven and Python repositories
can be managed, shared, and distributed using this tool.
Stores the repositories across multiple servers to
ensure high availability.
Easily provide or restrict access to your clients.
- Integrates with all major CI tools.
Codeless Test Automation tools:
AccelQ: AcceIQ is the market leader in DevOps
Tools for codeless test automation. It's a powerful
codeless test automation tool that lets testers create
test logic without having to worry about programming
Adopts a design-first approach to test asset
development, ensuring modularity and reusability with
- Work with iframes and other dynamic elements.
Provides support for advanced interactions and logic
Appvance: This autonomous testing platform powered
by AI and machine learning does end-to-end testing as well
as ML-assisted codeless scripting. It has the following
- A level-5 autonomous test automation system.
Self-healing scripts and AI-generated tests for 90
percent less effort application coverage and
- Enables continuous testing in a DevOps setting.
Testim.io: AI-based UI Testing to assist you in
running tests with super-fast scripting that improves
coverage and quality. It assists you with your DevOps
Integrating with tools like Saucelabs, Jira, and
Eliminating flaky tests and reduces maintenance.
Pinpointing root cause to fix bugs and release faster.
Efficiently expanding testing operations with control,
management, and insights.
If you're thinking about implementing DevOps in your company,
let Trajectus' specialists assist you in determining which
DevOps solution will best fit your continuous delivery needs. We
have engineers, architects, and business analysts with vast
expertise implementing DevOps using cloud platforms and tools
like as AWS, Azure, Oracle, IBM, and many others. Call one of
our specialists today to discuss your use case (s).