Many <a href="https://content.microfocus.com/optimize-devops-tb/devops-transformation-failing?lx=vm26kZ&amp;utm_source=techbeacon&amp;utm_medium=techbeacon&amp;utm_campaign=00134846">DevOps transformations fail</a> because organizations approach them with the wrong attitude—and because they don’t understand what they should thrive to achieve.Once you get rid of your DevOps delusions and adjust your expectations, you will have a much smoother experience. You’ll deliver value more readily, and you’ll make everyone in the organization happy that you went through the pain of transformation.These five key mistakes will doom DevOps initiatives from the start. Are you making any of them?<h2 style="text-align:justify;">1. Focusing too much on the tools and the automation</h2><a href="https://techbeacon.com/devops/devops-automation-best-practices-how-much-too-much">Automation is an essential part of DevOps</a>, and it’s the part that most people want to focus on first. New tools, such as Docker and Chef, are fun to play with. Everything starts going faster once you add automated deployments or containers. It is easy to see improvements right away. Cool things happen.But keep in mind that the tools are just enablers. Automation and tools are important to DevOps because they free people to focus on the things that computers can’t easily evaluate.Tools provide feedback so people can make informed decisions. They help processes occur repeatedly and reliably so that people don’t have to spend time double-checking their work. They make the management and maintenance of software more flexible.The <a href="https://techbeacon.com/devops/how-find-right-devops-tools-your-team">value of the tools</a> lies in what they allow people to achieve. Deploying software into the cloud on Docker containers doesn’t have any inherent value on its own. The value comes from the results of using Docker—what it allows you to do instead of manually deploying the software.Takeaway: Don’t focus on implementing the tools. Focus on how the tools help you achieve your goals.[Special Coverage: <a href="https://techbeacon.com/tags/stareast-conference-2019">STAREAST Conference 2019</a>]<h2 style="text-align:justify;">2. Trying to go faster to deliver more value</h2>“DevOps will make our business faster—won’t it?” Probably, but not because you will have people scurrying around more.Some key benefits of a DevOps culture come from a lean movement. By building incrementally, you will have products delivered more frequently. By eliminating waste from your delivery process, you’ll spend less time on steps that add no value to the product.Those are good—really good. But they aren’t the best part.Lean means that you should break up your work into manageable chunks. Those can be delivered piecemeal so that something is always moving through the process. Best case, you can deliver your work to the next step just in time for someone else to pick it up. No one is waiting for work to arrive, and no work is sitting around waiting to be picked up. That is just-in-time delivery.When you deliver the product at the end of the process, you have a minimum of wasted time. On top of that, if you need to re-prioritize or change the process, you can do so immediately with nothing half-done or in-flight. That allows you to deliver at an optimum speed and still maintain business agility.Takeaway: Delivering more frequently is more about agility than speed.<figure class="image"><img src="https://api.opsspark.com/uploads/Wavy_Tech_08_Single_10_0ea012ac43_2a989d2d5b.jpg"></figure><h2 style="text-align:justify;">3. Not continuously improving</h2>The delivery pipeline in DevOps consists of feedback loops that allow you to inspect, reflect, and decide if you are still doing the right things in the right way. As you get better and smarter and learn more, you’ll see ways to improve, to optimize, to cut out steps that are not providing value. Often those improvements require some investment and extra effort to implement.If you don’t take the time to fix the pipeline when you see the ways to improve, you are just investing in a wasteful process. You are doing the process for the sake of the process, not to add the maximum value to what you are delivering. The sooner you improve, the sooner you reap the benefits of that improvement.It’s not just a matter of reviewing the process twice a year or every quarter. Continuous improvement is a cultural shift that requires everyone to should get better all the time. Every time you go through the process, you get a little better and learn a little more.As you make the easy improvements and clear that waste away, you start seeing new opportunities to improve—things that weren’t obvious behind the old inefficiencies, or new steps you can try now that you aren’t wasting time by doing things the hard way.Takeaway: If your team is saying, “We’ll do better next time; now we just need to hurry,” you know they’re not continuously improving.[Related: <a href="https://techbeacon.com/devops/7-steps-choosing-right-devops-tools">7 steps to choosing the right DevOps tools</a>]<h2 style="text-align:justify;">4. Not being honest about your progress</h2>Day 1: “I’m about 50% done.” Day 2: “I’m at like 90%.” Day 3: “99%. So close.” Day 4: “I just ran into one last problem. Just about done.” Day 5: “I almost have it. One more day should do it.”And so on, and so on, until finally: “I know that took up almost all our time, but as long as everything goes perfectly from here on out, we should make up for lost time and catch right back up.”Longer schedules usually compound this scenario, because longer estimates are more likely to be more wrong. You have more opportunities to be unreasonably optimistic. All of that leads to disappointment and loss of trust that your team can deliver what and when it said it would.Whether you are talking about building features or changing processes, be realistic. Again, break the work into small enough pieces that you can be confident about your estimates. If something comes up and the team is delayed, don’t expect that a lucky streak will help you catch up, especially when history suggests that it won’t.Takeaway: Being honest about progress helps everyone set their expectations and plan accordingly. If the schedule starts slipping, it is easier to make adjustments earlier than to hope for a miracle.[See also: <a href="https://techbeacon.com/app-dev-testing/fast-estimation-better-approach-agile-estimation">Fast estimation: A better approach to agile estimation</a>]<h2 style="text-align:justify;">5. Assuming that change is easy</h2>Working differently is hard. Thinking differently is even harder. People are comfortable falling into familiar patterns, especially when things get tough. It just feels easier.But you can’t improve without changing. Things won’t get better if you keep doing things the same way. Even when you make wrong choices, you are learning and growing.And eventually, the newer, better ways of working will become the familiar pattern that you fall back on. Your successes will lead to more willingness to change, but there will always be some inertia you must overcome.Takeaway: Don’t expect everything to be an immediate success, and don’t expect everyone to change right away. Change takes time and effort, but it pays off.<h2 style="text-align:justify;">Reset your expectations</h2>DevOps isn’t a panacea for a broken organization. It’s not about a new set of tools and procedures that magically make development and operations smoother. You can’t buy a DevOps solution off the shelf.And it’s not easy. You are changing the way you build software. But set your expectations realistically, and you will see the value in adopting DevOps.Planning to formulate a DevOps transformation for your company product? OpsSpark is glad to help. You can leave us a message and get your free consultation <a href="https://opsspark.com/contact-us">here.</a>

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5 mistakes that doom a DevOps transformation from the start

DevOps has swiftly captured the attention of the IT industry, and for all the right reasons. In today's work climate, faster delivery and shorter turnaround times in the software development industry have become critical to an organization's success. As a result, the demand for high-quality output with few post-production mistakes gave rise to DevOps. Let us learn more about DevOps and the benefits that it brings to your team.<h2 style="text-align:justify;">What Is DevOps?</h2>The word "DevOps" was coined by merging the terms "software development" (Dev) and "operations" (Ops). Patrick Debois created the phrase in 2009 to allow for the rapid and effective distribution of software updates, bug fixes, and improvements.Varied people have different interpretations of what DevOps is. No matter how you define DevOps, it is critical to understand how to embark on the DevOps journey in order to enjoy the benefits. Below are the benefits of a DevOps Strategy.<figure class="image image-style-align-center"><img src="https://api.opsspark.com/uploads/20945896_518d4099c5_d88fddb88f.jpg"></figure><h2>1. Collaboration</h2>DevOps promotes an environment where the different teams work together to achieve common organizational objectives. This means that the teams in your organization won’t be isolated and won’t work toward department-specific goals anymore.Plus, a good DevOps strategy can motivate people from different departments to come together and brainstorm the areas of improvement in the operational workflow of a product.<h2>2. Speed</h2>From farm to table, from code to customer. The faster you release great software, the faster you can embrace the business value of the product features.DevOps speeds up the pace at which you deliver your software features and modifications through automated testing and integration.<h2>3. Innovation</h2>DevOps nurtures innovation by enabling the teams to learn more and understand customer expectations better. Innovation typically stems from brainstorming different perspectives and bouncing ideas off each other.<h2>4. Customer Satisfaction</h2>Your customers hate waiting for products, and the longer you make them wait, the worse the adverse impact.As DevOps streamlines the different aspects of your workflow, you’ll be able to offer your products at a lower cost when compared to a competitor who doesn’t do DevOps.<figure class="image image_resized" style="width:624px;"><img src="https://lh3.googleusercontent.com/lghqzDDLeF5RQvcd6Rd-4waEExVesJloZQsqwYUuMCA0AYKE9iuecWRu5pSyKuS7r4uZDwEmreh5h3mFOyrcYWaauVAtNrqZ9LA-ZJUCkcQJLnNcXgv7ApweWNaGzxjbUE7kxcZ3=s1600"></figure><h2>5. Agility</h2>The demands of modern customers are intense in terms of product complexity and time. To combat such challenges and to stay ahead of the competition, enterprises have to infuse agility into their processes.<h2>6. Quality and Reliability</h2>The quality of your software is important for obvious reasons, and DevOps can help you maximize that.DevOps adoption improves service reliability, as it improves the availability and connectivity of services needed for the smooth running of a business.<h2>7. Security</h2>DevSecOps is a way of approaching IT security with an “everyone is responsible for security” mindset. It involves injecting security practices into an organization’s DevOps pipeline. The goal is to incorporate security into all stages of the software development workflow.<h2>8. Competitive Advantage</h2>As a result, DevOps helps a business to be competitive are quicker software releases, high-quality features, continuous feedback incorporation, and maximized ROI.<h2>9. Costs Reduction</h2>9.1. Downtime costsNetwork unavailability can be catastrophic. Companies pay the price in billions for network downtime.DevOps, with its automated testing and continuous integration (CI) and continuous delivery (CD) practices, can help developers produce more efficient code and also identify and fix bugs quickly9.2. Software release costsBy automating your release pipeline, DevOps enables you to release your software faster. It also reduces the manpower needed for the process and slashes software release costs significantly.<h1 style="text-align:justify;">Conclusion</h1>And those are how your company can benefit from DevOps. OpsSpark can provide your company with a comprehensive strategy to elevate your product’s flow and quality. Reach out to us for a free consultation <a href="https://opsspark.com/contact-us">here.</a>

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Benefits of a DevOps Strategy

Discover the what, why, and how of a successful DevOps pipeline.<h2 style="text-align:justify;">What are DevOps metrics?</h2>Firstly, DevOps metrics help to measure the performance of a software development pipeline and then help quickly identify and remove any bottlenecks in the process. A great DevOps process will enhance the collaboration between developers and system administrators.Though there are various indicators used to measure DevOps success, the four critical metrics that every DevOps team should monitor are as follows.<h2 style="text-align:justify;">The Four Critical DevOps Metrics</h2><h3 style="text-align:justify;">Lead Time</h3>High-performing teams typically measure lead times in hours, versus medium and low-performing teams who measure lead times in days, weeks, or even months.&nbsp;&nbsp;&nbsp;Test automation, trunk-based development, and working in small batches are key elements to improve lead time. These practices enable developers to receive fast feedback on the quality of the code they commit so they can identify and remediate any defects. Long lead times are almost guaranteed if developers work on large changes that exist on separate branches, and rely on manual testing for quality control.&nbsp;&nbsp;&nbsp;&nbsp;<h3 style="text-align:justify;">Change Failure Rate</h3>High-performing teams always ensure the failure rates remain in the 0-15 percent.&nbsp;The same practices that enable shorter lead times — test automation, trunk-based development, and working in small batches — correlate with a reduction in change failure rates. All these practices make defects much easier to identify and remediate.&nbsp;Tracking and reporting on change failure rates are not only important for identifying and fixing bugs but to ensure that new code releases meet security requirements.<h3 style="text-align:justify;">Deployment Frequency</h3>A high-performing DevOps pipeline can deploy changes on demand, unlimited times a day. Low-performing teams are often limited to deploying weekly or monthly.&nbsp;&nbsp;The ability to deploy on-demand not only requires a DevOps process to be quick but also combines the automated testing and QA feedback mechanisms to be precise, all the while minimizing the need for human interaction.<h3 style="text-align:justify;">Mean Time To Recovery</h3>High-performing teams recover from system failures quickly — usually in less than an hour — whereas lower-performing teams may take up to a day or a week to recover from a failure. The ability to recover quickly from a failure depends on the ability to quickly identify when a failure occurs, and deploy a fix or roll back any changes that led to the failure.This is usually done by continuous system health monitor, system alert, and pre-built Disaster Recovery Plan. The operations staff must have the necessary processes, tools, and permissions to resolve incidents.<h2 style="text-align:justify;">In conclusion</h2>Continuous improvement is a key principle of DevOps teams. The ability to evaluate performance across change lead time, change failure rate, deployment frequency, and MTTR enables teams to enhance pace while decreasing quality. OpsSpark can help you automate and streamline your workflow to deliver faster, better results. Reach out to us for a free consultation <a href="https://opsspark.com/contact-us">here</a>.

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DevOps Metrics

<h2 style="text-align:justify;">What is a Software Release Cycle?</h2>A software release life cycle is the total of a computer software's stages of development and maturity. A cycle extends from its original development to its ultimate release, including updated versions of the released version to improve the product or fix present bugs.A software release cycle typically consists of 3 main stages, Development, Release, and Support. Let us take a closer look at what each stage entails.<figure class="image image-style-align-center"><img src="https://api.opsspark.com/uploads/Software_release_cycle_0baf2c47ed.png"></figure><h2 style="text-align:justify;">Stages of development</h2><h3 style="text-align:justify;">Pre-alpha</h3>Pre-alpha refers to all activities performed during the software project before testing. These activities can include requirements analysis, software design, software development, and unit testing.<h3 style="text-align:justify;">Alpha</h3>The alpha phase of the release life cycle is the first phase to begin software testing<h3 style="text-align:justify;">Beta</h3>Software in the beta phase will generally have more bugs in it than the complete version, such as speed, or performance issues, and may still cause crashes or data loss.<h3 style="text-align:justify;">Perpetual Beta</h3>New features functionality are continually added to the software without establishing a final “stable” release.<h3 style="text-align:justify;">Open and Closed Beta</h3>Developers may release either a closed beta, also called private beta, or open beta, also known as a public beta. Closed beta versions are released to a restricted group of individuals for a user test invitation, while open beta testers are from a larger selected group, or anyone interested.<h3 style="text-align:justify;">Release Candidate (RC)</h3>All product features have been designed, coded, and tested through one or more beta cycles with no known showstopper-class bugs.<h3 style="text-align:justify;">Release</h3><h4>Release to Manufacturing (RTM)</h4>At this stage, the product is ready to be delivered.<h4>General Availability (GA)</h4>In the GA stage, all necessary commercialization activities have been completed, and the software product is available for purchase.&nbsp;<h4>Release to Web (RTW)</h4>This is a software delivery stage that makes use of the Internet as a distribution channel.<h3 style="text-align:justify;">Support</h3><h4>End-of-life</h4>Once the software is no longer sold or supported, the product is said to have end-of-life. However, user loyalty may continue to exist for some time even long after its platform is obsolete.&nbsp;<h2 style="text-align:justify;">Conclusion</h2>The software release cycle oversees a constant change throughout the whole process because any software will always have its updated version until and unless it reaches end of life (EOL). Each update is an opportunity to fine-tune everything from your process to your checklist as your team learns which roadmap works best for what type of launch—and which doesn't.OpSpark can provide you with the dream team to help you achieve your product milestone, no matter which stage you’re at. Get in touch with us for a free consultation <a href="https://opsspark.com/contact-us">here.</a>

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Software Release Cycle

Blockchain is one of today's most popular technology buzzwords. At the same time, the notion of DevOps has gained its recognition and momentum. Individually, blockchain and DevOps provide a lot of advantages. Combined, they can give substantial tactical and strategic benefits.In this topic, we would like to share some of my keynotes in working as a DevOps role in the Blockchain &amp; cryptocurrency. &nbsp;<figure class="image image_resized" style="width:624px;"><img src="https://lh4.googleusercontent.com/hu7n04PlkNNu5b3jmVXJEqvjBV8ASnN5Z7Q9c3oeoeBqxPlCZWD-qMefNrd24IjpPtnXhMVUNjNZASE4cPboBVoFKORV8KRB8AHEjSd_h9jbIAqoLdLNV9u_MYi0JgJ1F7dgQmbQ"></figure><h2 style="text-align:justify;">Node maintenance and upgrade</h2>As you might have known, the Blockchain world is still at a young stage. The source code, the algorithm, and the infrastructure all have to be upgraded or changed from time to time. Therefore, it’s very important to keep track and follow to make sure your system works well. To monitor all the updates, I recommend following the GitHub official repo, Reddit official community, and newsletter.Needless to say, before you start to upgrade a Blockchain node software to a newer version, you need to ask the developer team to check on the API and documentation changes to make sure everything works as per expectation.<h2 style="text-align:justify;">Build multiple layers of defenses</h2>First and foremost, the idea behind the principle of defense in depth is to not rely on ONE type of defense for protection but to instead build multiple layers of defenses. Here are the layers I would recommend.The first layer would be the network route to your server system. Make sure only your staff with a VPN connection can access your servers.The second layer is the firewall rules on your system. It must be correctly shielded, sufficient, and easy to understand. It is strongly recommended that you use Cloud Service Providers which provide a friendly portal to manage firewalls, such as GCP or AWS.The third one would be related to the SSH access to your system. The system must only allow access with SSH keys, not password authentication. Moreover, all SSH keys must have a passphrase, managed in the password manager.Last but not least, try your best to protect crypto wallets and private key. It’s vital to closely work with the developers and technical managers to find the best methods for secure storage. For example, it is better to divide the private key into multiple parts, one piece in the environment variable, one in local files, one implemented in the code, one put in the database, etc.<h2 style="text-align:justify;">Get rid of exploits</h2>Remind yourself every day, that you are the target of hackers. You are the one who has access to all servers, and the one who keeps all the certifications, passphrases, wallets, and secret keys. And you also have the documentation to understand the whole infrastructure.So first and foremost, separate your personal accounts and authentication to your at-work ones. If an attacker has access to your personal account, he has more chances to get your at-work things.Secondly, use a password manager to manage your credentials. When an attacker knows your Gmail account, he will try to access AWS or GCP with similar information. So, it is better to make your credentials different on different services.Lastly, make sure to use all available security methods to protect yourself. Nowadays, with 2FA authentication, people can protect their accounts by both password authentication and phone devices.You can read more about this topic <a href="https://medium.com/crypitor-service/to-be-a-devops-in-blockchain-cryptocurrency-757748fc345e">here.</a><h2 style="text-align:justify;">Conclusion</h2>And those are some of the key things you need to be mindful of when working for a DevOps position in blockchain and crypto. If you are interested in DevOps, you can read more about <a href="opsspark.com/resources/dev-ops-metrics">critical DevOps metrics</a> or learn the <a href="opsspark.com/resources/5-mistakes-that-doom-a-dev-ops-transformation-from-the-start">5 mistakes that doom your transformation from the start.</a> OpsSpark can provide your company with a comprehensive DevOps strategy to elevate your product’s flow and quality. Reach out to us for a free consultation <a href="https://opsspark.com/contact-us">here.</a>

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To be a DevOps in Blockchain & cryptocurrency

<h2>Introduction</h2>At its core, DevOps aims to remove the barrier between the two traditionally siloed teams, development, and operations.DevOps metrics and DevOps KPIs are essential for fine-tuning your DevOps processes, pipelines, and tools to meet your organization’s intended goal. You’ll need to track critical key metrics like any IT or business project. In this article, I would like to share some of the metrics and KPIs that I deem as vital for every DevOps transformation journey.<h2>Discover the six principal DevOps metrics</h2><h3>1. Lead time for changes</h3><figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/Untitled_4cc0601bbf.png"></figure>Lead time for changes is the amount of time it takes when new code is committed until it’s in a compiled and deployed state. Even though shorter lead times are preferable, larger ones don't always signify a problem; they might just point to a complex project that takes longer than usual.Two important ways to improve lead time for changes are to implement quality assurance testing throughout multiple development environments and to automate testing and DevOps processes.<h3>2. Change failure rate</h3><figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/Untitled_1_03d06b9718.png"></figure>Change failure rate measures the percentage of updates that require immediate fixes or attention after they are deployed in production.A change failure rate of more than 40% may signify inadequate testing practices, which leads to teams making more changes than necessary and reduces productivity.The goal behind measuring change failure rate is to automate more DevOps processes. The more automated the process, the more reliable and successful the released software will be in production.<h3>3. Deployment frequency</h3><figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/Untitled_2_568cb379c5.png"></figure>Deployment frequency is a measure of how often the team pushes new code into production and shows how the pipeline is performing towards this objective.A deployment frequency too low indicates that there may be broader issues, such as inefficient processes, low human resources, or even inadequate team structure.As you strive to increase your deployment frequency, you are incentivizing your team to deploy more regularly, and with smaller changes. Smaller and regular release sizes are easier to understand, and faster to test, deploy and fix. They also lead to shorter and more effective feedback loops, resulting in faster product iteration.<h3>4. Mean time to recovery</h3><figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/Untitled_3_dca4d624f9.png"></figure>Mean time to recovery (MTTR) measures how long it takes for a deployed application to recover from failure and return to normal operations. In a world of gold standard KPI of five 9s (99.999%), measuring MTTR is a crucial practice to ensure resiliency and stability.An optimum MTTR for most systems might range from less than one hour to less than one day. Anything that takes more than a day might suggest poor alerting or poor monitoring and can result in a larger number of affected systems.To improve MTTR metrics, deploy software in small increments to reduce risk and deploy automated monitoring solutions to preempt failure.<h3>5. Availability and Uptime</h3><figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/image_6e96fffd3a.svg"></figure>Server Uptime or Service Availability is a general infrastructure reliability metric. It calculates the total time your server remains available. Server Uptime is considered good and stable when its score is 99.9 percent. But as for demanding services like banking, an additional one-hundredth of a percent will play a role.<h3>6. Infrastructure-as-Code level</h3><figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/Untitled_4_cb681f4a7f.png"></figure>&nbsp;Although manual deployment can still be useful in software development, the more code covered by automated testing, the more stable and reusable the software.Here is an example of the principal metrics that we’ve gained from one of our customers.<figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/image_a4575b911b.png"></figure><h2>Steps to implement DevOps KPIs</h2>While we have seen a list of key metrics and KPIs, it’s equally important to know how they develop in a DevOps implementation process. Here is how our team develops the KPIs with our clients.<figure class="image image-style-align-center image_resized" style="width:75%;"><img src="https://api.opsspark.com/uploads/Dev_Ops_KP_Is_Steps_31662c14e7.png"></figure><h2>DevOps as an opportunity for progress</h2>DevOps aims to generate business value through the continuous delivery of products and services. DevOps metrics are an effective way to measure the effectiveness (and improvements) of DevOps in development, deployment, and production within an organization. However, while key metrics are used to measure high-performing DevOps teams they should also be considered within broader organizational goals such as profit, number of customers, quality of product, and customer service.Do you have more questions about DevOps? Our experts are happy to assist, chat with us <a href="https://opsspark.com/contact-us">here</a>.<ul><li>References:</li></ul><ol><li><a href="https://www.atlassian.com/devops/frameworks/devops-metrics">https://www.atlassian.com/devops/frameworks/devops-metrics</a></li><li><a href="https://cloud.google.com/blog/products/devops-sre/using-the-four-keys-to-measure-your-devops-performance">https://cloud.google.com/blog/products/devops-sre/using-the-four-keys-to-measure-your-devops-performance</a></li></ol>

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