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A service mesh is a method that ensures the various components of an application share data with each other efficiently and can adapt to the unique nature of distributed microservices. It is a configurable infrastructure layer that is built into an application that checks how different parts of an application interact with each other. This process ensures faster, reliable, and secure communication between the containerized and temporary application infrastructure services. It helps in optimizing service communication. The mesh service keeps track of the routing rules and handles the traffic dynamically to fasten the delivery.
A service mesh helps in resolving the service overload problem within the microservice architecture. It helps in optimizing the working of functions to route requests from services to improve communication between services. If you are not using a service mesh then you have to provide a logic that governs the service communication and abstract it to the infrastructure layer. You can use service mesh when the service communication complicates. Using service mesh, the request between the microservices is routed via proxies that fall in their infrastructure layer.
You have to be modular if you want your applications to communicate while running on container platforms. This is where service mesh becomes relevant for companies to make microservices more flexible.
So there are some key challenges that you need to face when following a Mocroservies kind of model and this is where the service-mesh, come to your rescue.
Typical challenges of a Microservice architecture are:
Service Mesh simplifies the working of microservices within the infrastructure. It offers a centralized plane to apply policies instead of coding directly into the application’s business logic. Below are some of the reasons why you should adopt a Service mesh within your DevOps framework.
If you are working on an application consisting of a small number of services then applying service mesh can be extraneous. But if you are dealing with a limitless number of microservices then service mesh is a boon. It will save you a lot of time writing infrastructure code to address resiliency, security, and observability.
You can enhance productivity and efficiency by applying service mesh to address problems in an automated way rather than writing a lot of code for it. It reduces the effort for writing infrastructure code for service-to-service communication. Service mesh offers tools for developers so that they can focus on the application logic only.
With the help of service mesh, you can get the visibility of the containers and the microservices. This visibility allows you to optimize and debug your system at the service-level. You can even expand the system’s capability from time to time to ensure performance and stability. With the help of sidecar proxies, developers can have the right visibility without hindering the performance.
Service mesh ensures faster time-to-market by using sidecar proxies with each microservice and connecting them. It allows the developers to be productive rather than unnecessary function coding for each service.
A service mesh is important for microservices security and enforces security measures without affecting the application code. The security features also include inbound and outbound communications.
A service mesh is platform-independent and can run in any container-based architecture. It allows you to track problems and ensure that services are available with properly distributed routing tables.

Image Credit: https://docs.microsoft.com/en-us/dotnet/architecture/cloud-native/service-mesh-communication-infrastructure
Kubernetes and service mesh work well with each other as the use of service mesh reduces the extra workload and is suitable for more complex container architecture. You can establish a service mesh as a layer on top of Kubernetes in many ways. Some of the tools are mentioned below.
You can choose the right one as per your business needs.
It is an all-encompassing service mesh solution to the DevOps team. It was launched in 2017 with backup from Google, IBM, and Lyft. it is commonly used for Kubernetes deployments.
* It focuses on connections, security, control, and observations.
* It allows traffic management control that perfectly distributes the API calls and requests.
* It uses Envoy proxies to route the traffic and offers great performance.
* It allows you to split monolithic applications into small services without affecting the users.
* You can easily identify the system’s critical endpoints by using service discovery while working on Kubernetes.
* Istio handles authentication using the custom Kubernetes API which is easy to set up. Also, security is ensured by using a specialized user account.
* It offers several features that need to be handled with proper resources.
* This tool can handle complex microservice architecture.
* Istio supports fault injection and delays injection.
Linkered was launched by Buoyant Inc. and is a service mesh commonly used for the Kubernetes framework. Its latest version was launched in April 2020 and is a stable version that is well adapted by the Kubernetes community. It is a standalone service mesh tool which does not require third parties for their management.
* It is compatible with all existing platforms and does not require much code change to run.
* It uses linkered-proxy as a service proxy.
* It allows monitoring and orchestrating canary and deployments in real-time.
* It shows high compatibility with ingress controllers and makes it more flexible.
* It offers a command-line interface that allows you to mesh with Kubernetes. With the help of a single linkered inject command, you can integrate the service mesh with your application.
* It is easy to install and brings the best performance.
* It is a non-invasive service mesh tool which does not require optimization once it is deployed.
* It improves security through mutual TLS encryption.
Kuma offers solid service connectivity with the help of a modern and user-friendly GUI. It focuses on optimization to enhance performance. Kuma comes with open governance and is an Envoy-based service mesh. The latest version is 0.5.0.
* Kuma is Envoy-based which enhances flexibility during implementation.
* It supports backends that are compatible with OpenTracing and it allows you to use an external CA certificate if required.
* It allows users to designate policies for security, routing, observability with the help of single command.
* It ensures easy access to the compiled metrics along with fault injection and tracking ecosystem weakness.
* You can deploy low-level Envoy resources via proxy templates which improve supplemental control.
* It allows you to establish customized health checks.
AWS App mesh provides application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. App Mesh gives end-to-end visibility and high-availability for your applications.
* App Mesh utilizes Envoy, an L7 proxy and communication bus designed for large modern service-oriented architectures.
* App Mesh integrates with many AWS services like Cloud Map, Certificate Manager, CloudWatch, and X-Ray.
* AWS App Mesh help you to run and monitor HTTP and TCP services at scale.
* App Mesh provides consistent routing and traffic monitoring feature, giving you insights about the problems and the ability to re-route traffic after failures or code changes.
As larger organizations globally transition to more autonomous teams developing and maintaining their own microservices, how can they ensure the necessary consistency and compatibility between those services without relying on a centralized hosting infrastructure? To work together efficiently, even autonomous microservices need to align with some organizational standards.
So a Service-mesh provides critical capabilities including service discovery, load balancing, observability, traceability, authentication and authorization, and also support for the circuit breaker pattern.
Currently the service meshes continue to rise in popularity and becoming a widely-used and critical component of the cloud native stack. With the current trend and adoption patterns, definitely service-mesh seem to have a good future like any other popular technology
The post DevOps 2021: A preview of Service Mesh and why you should use them appeared first on DevopsCurry.]]>In this post let us discuss how to build highly effective DevOps teams. What should be an ideal DevOps team structure?
Dev and Ops working together is a beautiful thing. But there is no easy answer to what exactly is the role of a DevOps engineer. Every team has different requirements. DevOps was designed to remove silos between Development & IT operations. So, a DevOps engineer should be able to act fast and be agile enough to shift focus at a moment’s notice. This person should be able to wear more than just one hand as more often as possible. A DevOps engineer will have to take on uncomfortable or unfamiliar tasks to move forward.
Here are five primary roles that you’ll find usually within a standard DevOps team:
An Evangelist needs to possess two leadership traits – a front runner for the organization and the leader of teams that are passionate about the process and the company as a whole. He/She must proactively create good support with all teams involved in the software development & IT operation team. An Evangelist needs to ensure that the product is highly available in the pre-production and production environments.
A release manager is a person-in-charge of every new release. he/she would have to oversee the coordination, integration & flow of development as well as testing & supporting the CI pipeline. Release managers play a huge role as discipline holders in a team.
A DevOps architect is responsible for analyzing, executing, and streamlining DevOps practices. He/She should have years of experience in building software using the latest tools. This role requires a leadership mindset with the ability to manage teams with an inspirational approach.
Developers are front-end and back-end people who are actively doing development. They work side-by-side with QA to make sure the code is delivered bug-free. These testers check whether the actual results match expectations and the final result is error-free.
A security engineer oversees the application or environment for better security and compliance. This person works closely with the IT Ops team to plan the best approach for services. A Security Engineer is responsible for designing & maintaining infrastructure security using automation and CI/CD tools. He/She is in charge of developing defection techniques and addressing security requests.

Image Credits: https://www.tiempodev.com/blog/6-key-elements-for-building-effective-devops-teams/
1. Attracting & Retaining The Right Talent:
This is not an easy task, finding the right people with the talent to take on tasks at both ends of the DevOps environment. Companies have to make these roles lucrative if they wish to attract such talents. Not every company can reap the benefits of DevOps overnight. It needs to grow naturally to better understand what a long-term vision looks like.
Long-term change requires bold actions from employers who want to attract the best talents. Instead of having highly specialized team members, focus on having well-rounded and experienced generalists. In short, someone who is able to write a front-end component, create the API & be able to get the whole solution running.
While having great developers specialized in individual programming frameworks and languages is great, a highly effective team will have people that can jump from back-end to front-end.
2. Use Smaller Team Structure
A high performing DevOps organization favors smaller teams. They make it easier to adopt the loosely coupled, microservices style of software delivery. However, this structure is not possible everywhere. But when it can be realized, the results are highly effective teams.
With this approach, you would have several small-sized teams of 3 to 4 people, all working together on the same domain object. We must change our view of software and adhere to domain-driven design.
This will help to divide an application into a reasonable number of teams that can operate in parallel. It sets the project up for a possible microservices implementation from the beginning.
3. Breaking The Existing Silos and Collaborations
With DevOps, the goal is to remove silos between development and IT operations. So that these teams could work together to build, test, and deploy software faster. A good DevOps team does not mean everyone does everyone’s job. Such a strategy will lead to a huge failure. There should be a balance between the teams and the use of automation tools also plays an important role.
4. The Right Selection of The Tools
Anyone on the DevOps team loves to work with new technologies & methodologies. One needs to correct an innovative and healthy toolchain to keep the team excited. It will help them to be more effective and often play a role in recruiting and retaining talent.
Starting a DevOps approach is one part and providing proper tools, training and necessities is the second part. With a strong desire, good hiring, skills, training, and practice, traditional teams can break old habits. They can transform themselves into digital transformation.
5. Automate and Streamline Tasks and Workflows/ IaaS
Many companies have years of ease into a distributed workforce. But some companies do not have that luxury. Developing new methods of interacting with colleagues can be a bit difficult. The traditional way of developing these communication channels is not all that effective.
The way to develop a fully functional DevOps team is not by creating more processes they have to follow but to streamline the ones they already have. The solution here is always to define good development best practices and guidelines. There should be automated checks on code commits. Static analyzers, interns, automated checks & tests that push people to comply with processes.
6. Cultivate Leadership & Autonomy
Many research shows that when people have some sense of autonomy and control in their work, there is more stress & more burnout. DevOps leader can help fight burnout by creating more autonomy in their teams & not to impose restrictions on them.
The leaders should allow team members to make their own decisions, rather than making all the decisions by themselves. This will result in more anatomy. Trust will be crucial to letting these teams organize themselves & learn what is effective & what needs more effective implementation next time.
7. Developing a DevOps Culture
DevOps is a cultural shift. It takes time to set DevOps in any organization. Some of the most essential things that help to build a highly effective DevOps culture is practicing communication, collaborating and brainstorming regularly, and breaking down the silos. An ideal DevOps team should encourage continuous improvement, automate everything, and focus on customer requirements.
When organizations decide to undergo a DevOps transformation, they should focus on the people and their skills. Rather than common tools that technical individuals are already experts in. However, making the change to a DevOps approach is not that easy. Besides the proper process, you need the proper team. We suggest you follow all the points that we have discussed today to make sure your DevOps team works seamlessly together. Thank you for reading. Please drop a comment if you have any doubts or words of appreciation.
Now let us all admit that building the perfect Devops team might still be a distant reality, but this post outlines some of the guidelines that hiring managers can leverage and use to make a Devops team that delivers software better and faster, depending on the company’s needs. They should focus on the people and their skills, rather than the common tools that technical individuals are already well-versed in.
If the technical leaders and managers keep the above mentioned points in mind, then chances of your DevOps team to be a success will be higher.
The post Tips to build an effective DevOps Team in 2021 appeared first on DevopsCurry.]]>The concept of ChatOps has been driven by the growing collaboration demands of the global services that involve millions of DevOps teams working on a different platform. ChatOps is considered one of the innovative phenomena that turn the chat process into one of the tools that power many technologies.
Be your daily banking services or any other information on web, you definitely would have encountered an auto chat based conversation system. This is nothing but the evolution of Bots ere or the ChatOps era (in Devops terminology)
ChatOps is an association model that connects people, tools, processes, and automation into a transparent workflow.
ChatOps is a collaboration model that allows people to connect to the process ,tools & system they are using and working with. It provides a platform for all the team members to communicate with their infrastructure and applications in the same way they communicate with other team members.
It ensures workflow transparency within the team that eventually tightens the feedback loop and improves the information sharing flow. It also helps in enhancing the team culture, cross-training, and team collaboration on a large scale. You can consider ChatOps as a digital age tool that combines the oldest collaboration form and the latest technology that has changed working. ChatOps also allows you to run various operations and commands directly via chat and offers a real-time system where you can easily handle significant production incidents along with detailed documentation of incident communication.
ChatOps has changed the working within every globally distributed organization that leverages the chat tools to work together efficiently using these real-time collaboration techniques. ChatOps may not provide a complete solution but can contribute to the efficient working of an organization. The benefits you can get using ChatOps are its speed and transparency that will improve the way you maintain infrastructure and applications within any organization.
Why ChatOps?
There can be many reasons to implement ChatOps; some of them are shared below :
ChatOps allows you to automate actions that save the team members from maintaining manual documentation to store codes. It helps you replace the error occurring manual process with automated chatbots that will pick real-time commands, execute remote actions, and manage the console with real-time data to keep the team members updated. It will save a lot of time and effort in doing repetitive manual processes. Automation includes the bots that act as helpers to perform designated tasks via automated commands. In this way, you can easily assign small tasks to bots to ensure perfect time management.
ChatOps not only increased collaboration but also provides the right context to the provided information. Thus ChatOps has come into the picture to ensure proper communication in complex IT processes, where giving context to every communication may be difficult. ChatOps allows providing real-time, up-to-date, and constructive information to all team members without working with any assumptions.
ChatOps has increased communication transparency, especially in effective incident management, where clear and concrete information is required from team members. It ensures improved visibility among team members about the problem, so they collaborate to work on it. To make the process easier, it is better to gather information from a communication platform where all the team members can see the progress’s live updates and results.
ChatOps provides a common platform for each team member where they can share and receive up-to-date information anytime. It offers a synchronous communication process within your team so that all the team members will be on the same page and removes the bottlenecks. Users are benefitted as this process keeps everyone updated about the potential issues during the project development. You can easily share strategies and decisions with the help of ChatOps.
ChatOps ensures the advantage of documenting IT operation tasks and establish a communication mechanism that helps in proactive problem resolution.
ChatOps speeds up the decision-making process. Instead of having to collect information from different systems and persons, ChatOps makes it possible to obtain all that information instantly by entering a single command into your chat room.
Some of the populat ChatOps tools are shared below:
It is the oldest but popular IRC bot designed to be used by novice and experienced IRC users for different hardware and software platforms. It is compatible with Linux, SunOs, MacOS X, and many more. It provides SSL protection for data traffic.
GitHub Inc wrote its first version that automated the chat room. It allows you to deploy sites, automate tasks and reduces effort, time, and cost. It can easily be implemented on platforms like Heroku. It comes with a variety of features like language translation, Google map integration, and posting images.
It is an open-source, fast, and expandable Python IRC bot software. It can be run only on Python 3.4 or higher version and is licensed under GPL v3.
This chatbot is written in Ruby, and you can consider it as a robot companion. It allows you to connect to a chat service that keeps you efficient at work. Lita will convert your time-consuming activities into simple commands and helps you to automate tasks. It is easy to install and compatible with plugins. It comes with a built-in server and routing services. It has support for outgoing HTTP requests and ensures group-based communication authorization.
It is another bot that is written in Python and is a plugin-based chatbot. You can quickly deploy, extend, and maintain this chatbot. It is available freely and is licensed under GPL-3. It has an easy installation process and comes with multiple server backends.
It is an open-source automation tool that connects all your applications, services, and workflows. You can automate everyday actions with the help of these chatbots. It helps in troubleshooting, error-deduction, and continuous development.
It is a prototypical IRC bot that only responds to the text. With this bot, you have to provide a pattern to match and run some code that responds to vocal recognition. The code will run on the match and then returns the output.
Gitter is an open-source instant messaging and chat room system written in JavaScript. It is similar to Slack, but designed for individuals (specifically developers and GitHub users) instead of businesses.
It was built with the idea that teams are existing and communicating on too many chat platforms, using too many tools, experiencing unnecessary friction switching between apps like GitHub, Pagerduty, Asana, Trello, Heroku, CircleCI, and more. Language and chat platform agnostic, Chato.ps is framed as a truly agnostic buffer between all chat platforms and tools.
Cog is new player in the ChatOps space, but it’s much more than a simple bot. Cog is designed as more of a framework to address a number of concerns many teams have, such as security. With built-in access control and audit logging functionality, Cog allows teams to collaborate on sensitive tasks with higher confidence.
Built by CA Technologies, Jarvis is another open source alternative to Hubot, specifically designed for working with build messages to make the most of CA’s Flowdock, a chat and collaboration platform
We’ve seen that ChatOps offers a number of benefits such as increased collaboration, efficiency, knowledge sharing, and out-of-the-box logging. ChatOps can also be used to break down barriers between teams within an organisation. In our day-to-day jobs also we’ve seen many implementations of ChatOps where the friction between the security, compliance and development teams was taken away because of self-service infrastructure deployments via chat.
So definitely ChatOps is going to be a future trend and also an important part of the future Devops implementation projects across the globe.
The post A Dive into ChatOps into 2021 appeared first on DevopsCurry.]]>In today’s world, every IT professional is aware of the rise and importance of DevOps. DevOps is meant to break down silos and increase interaction between development and IT operations to improve the software development and delivery process.
With the rise of Devops and it getting popular day by day, we see many traditional software roles slowly transitioning into a Devops profile. And most common among them are our age old friends for decade, the SystemAdmins. Since DevOps is a mix of Developers+SysAdmins, a lot of SysAdmins are trying to hone their scripting and development skills and make a shift into a Devops role.
Now transitioning from a SysAdmin role to DevOps professional is upto the individual and his capabilities.As is true with most traditional IT roles, a good SysAdmin likely excels in several areas that make up critical aspects of a DevOps professional’s skill set. But, along with this it’s also crucial that a System Administrator acquires new skills to achieve success in a DevOps role.
The traditional System administrator role is one of the most diverse as well as complex roles in IT. A SysAdmin should know about operating systems, networks, hardware, OS and databases. They should also have an idea about budget, operation, and support. DevOps offer several attractive jobs. Companies are looking for professionals to introduce and implement DevOps to their organizations.
Before you make a shift, it’s essential to do a self-analysis that as a System admin, Developer, or QA professional your skills are fully compliant with the requirements of the DevOps industry.
SysAdmin or System administrator used to share the following responsibilities:
SysAdmins implement data backup along with disaster recovery strategies. These strategies are for IT systems as well as SDLC environments. Some of the activities include the implementation of automated software solutions and the replacement of hardware and software components.
SysAdmins make sure that network interactions follow all the protocols to maintain network integrity. SysAdmins do activities like network monitoring and analysis, the security of hardware components, identity, and access management, etc.Usually, these responsibilities are centered on infrastructure and network security. Database administration activities include maintaining the integrity, performance, and efficiency of the database system. SysAdmins act as the connection with users to address database related problems like backup and restoration.
Supporting the reliable and effective use of complex IT systems by the end-user is the primary responsibility of a SysAdmin. This includes activities like managing identities, access to providing dedicated technical support to individual users. They are also one-stop-contact with IT departments for users to resolve any technology-related problems.
SysAdmins are responsible to maintain reports of IT asset usage. Documentation is the key requirement for regulatory compliance. End-user requests and also business requirements and IT issues are documented to plan for future IT investments and upgrades.
SysAdmins are responsible for dependable access and availability to IT systems. SysAdmins are required to troubleshoot and fix issues that compromise system performance or access to an IT service. They also do system improvements as and when required. For Ex. upgrades based on evolving end-user and business requirements.

Image Credits: Medium Post by James Lee. https://medium.com/@tao_66792/a-transition-guide-from-system-admin-to-devops-engineer-16354b571c52
Some traditional approaches to SysAdmin are still valid in DevOps. But a DevOps engineer must be familiar with cloud computing and automated tools. He must be good at collaborating with other teammates or in other words a good team-player.
Here are some key skills SysAdmins should learn and master to succeed in a DevOps role.
Cloud is an essential part of DevOps as most of the DevOps projects are hosted on the cloud. A DevOps engineer must be able to configure services and servers related to various cloud providers. Other than that he/she should have an understanding of cloud services like Software as a Service(SaaS), Platform as a Service(PaaS), Infrastructure as a Service(IaaS).
A SysAdmin is not a developer. But it’s a good idea to have knowledge as well as experience in coding and scripting to make the transition into DevOps. Many SysAdmins may have relevant experience with popular platforms that support automation. It’s a good idea to get to know languages like Ruby and Python. DevOps teams give importance to automation and that means there will be a lot of effort into writing scripts for manual operations like server configuration and application deployment.
Continuous Integration or CI is one of the most important parts of DevOps. CI allows developers to continuously update changes to a single repository. So, the traditional System Administrators do not know about Continuous Integration pipelines. To get into DevOps, CI is an essential thing to learn. There are numerous different tools to implement Continuous Integration in your organization. Some tools will even allow you to host the CI servers in your network infrastructure. Some of the popular CI tools are Jenkins, CircleCI, TravisCI, GitLab, Bamboo, TeamCity, etc.
The foundation of CI/CD is the most frequent delivery of code changes to production environments. Deployments occur with a huge frequency in DevOps. Hence, there should be a surety that application downtime is kept to a minimum. So, a SysAdmin transitioning into a DevOps engineer must understand the most effective ways to deploy applications while minimizing the downtime. They should familiarize themselves with safe and effective deployment strategies.
A SysAdmin must be familiar with configuration management if he’s trying to get into the shoes of a DevOps engineer. Some examples of such tools are Chef, Ansible, and Salt. Such tools are build to make things easy to automatically configure and maintain hundred and thousands of servers. Configuration management tools help in automating several processes.
SysAdmins who wish to transform into DevOps professionals are likely to deal with deploying and supporting containerized applications. Such applications run on cloud-based infrastructure. Hence, to guarantee success as a DevOps engineer, the person must have an understanding of the practices involved in containerization. Additionally, that person should also have a familiarity and practical experience with popular IaaS platforms like AWS and Microsoft Azure.
Some of the DevOps skills are already possessed by SysAdmins like scripting, OS admin, and monitoring. But DevOps is a completely different approach and it’s creating a pipeline of development. It is a learning curve and now is the best time to get started. Pick a programming language and start learning. Along with that, get your hands on Git, CI/CD, and a Configuration and Automation tool. Always remember, an expert was once a beginner who never stopped learning.
Like other career transitions made within the same industry, the role of a system administrator has a bit of overlap in responsibilities and experience with that of a DevOps professional. Many SysAdmins already have experience with scripting and may even have a level of familiarity with the technologies and platforms for automating application deployment, server configuration, etc.
So finally it’s up to the individual whether he wants to remain a SysAdmin or transition to DevOps. As you can see, there’s a learning curve involved, but there’s no time like the present to get started seeing the kind of popularity Devops profile enjoys and a bright future that a Devops Professional has.
The post DevOps 2023: A Complete Guide To Transition From a SysAdmin to DevOps Role appeared first on DevopsCurry.]]>