Sify’s new data center in India – Spearheading transformation in a competitive landscape
Robust and reliable data centers are pivotal infrastructural backbones in ensuring the seamless operation of internet-based services, cloud computing, and end-to-end management of vast amounts of data.
Sify’s new data center in Noida – A hub of futuristic innovation and reliability
Robust and reliable data centers are pivotal infrastructural backbones in ensuring the seamless operation of internet-based services, cloud computing, and end-to-end management of vast amounts of data.
Build the right hybrid IT infrastructure for your digital transformation needs
The shift to hybrid IT infrastructure is not just a trend, it’s a strategic imperative for modern-day businesses. Having an infrastructure mix of on-premises data centers and cloud architectures helps to lower risks while catering to the technical transformation needs of agile and digital businesses.
What Mattel’s Content Teaches Us About Reusing Digital Assets
The blog delves into the power of content reuse, referring to Mattel’s recent strategy of revitalizing their old toy lines from over four decades ago. The article highlights Mattel’s clever use of existing content and tapping into the power of nostalgia to resonate with diverse audience segments. It showcases the broader concept of content reuse, where stored digital assets become a strategic resource for building brand engagement with established and new consumers.
Hyperscale Data Centers: Bringing Agility and Scalability across Enterprises
Hyperscale data centers are equipped with advanced technologies like virtualization, AI/ML-driven automation, and cloud computing, providing scalable, agile, and cost-effective solutions. In India, leading hyperscale computing companies offer state-of-the-art data center solutions offering robust security, redundant power, smart cooling systems, energy-efficient designs, and extensive network connectivity with cloud adjacency capabilities that modern businesses crave to accelerate their digital transformation journey.
Evaluating SD-WAN technology: Is it the right choice for your enterprise?
SD-WAN presents several advantages for businesses. Among the principal benefits is enhanced agility, enabling enterprises to efficiently create and manage virtual networks. This facilitates the scaling of networks as required, resulting in superior security and performance.
DAM Insights Your Entire Organization Will Actually Use
Your DAM can feel like an overwhelming tool to report on. Everyone wants something different from it. Learn more.
Transform your DAM from an archive into a publishing powerhouse
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Five factors to consider before picking an MPLS service provider
In today’s hyper-connected and fast-paced global marketplace, connectivity is the lifeblood needed to keep businesses running smoothly. Enterprise, small or large, need reliable and fast communication networks to work and grow.
Organizations are given access to a communication network that is entirely dependable, quick, flexible, and cost effective due to MPLS and its “labelling protocol” Businesses are considering shifting to MPLS networks due to the clear advantages of MPLS connectivity, However, choosing an MPLS service provider can be time-consuming and complicated given the industry’s diverse offerings and management methods.
There are criteria that needs to be taken into consideration while evaluating the various telecom service providers to choose the most suitable solution for your businesses.
The first element that businesses need to check is the network coverage offered by the service provider. It is critical to confirm that the network carrier’s service area includes all your targeted locations, and if global connectivity is required, the network service can provide reliable international coverage. Therefore, latency, jitter, resilience, and cost of the MPLS network are all directly impacted by the service providers’ reach and coverage.
The second criteria is to consider the Network Project Management and Monitoring, because complex networks require constant management to run smoothly. Proactive management can result in reduced expense, fewer outages, and enhanced security. Therefore, the specifics of pricing and the range of services offered under the heading of network management and monitoring services must be understood by businesses.
In order to free up IT employees, it is also crucial to check whether the service provider monitors the entire network and provides managed services.
The third criteria to be mindful about while choosing an MPLS service provider is their Network Security. Security capabilities of the MPLS service provider need to be scrutinized closely. Businesses need to ensure that service providers can support and monitor the entire network closely and provide access to a dedicated security infrastructure, including experienced NOC engineers to ensure guaranteed uptime.
Another sure-fire way to assess the capabilities of the service provider is to check the SLAs (Service Level Agreements) offered. While experienced service providers with tested capabilities are usually willing to back their services with SLAs, it pays off to compare SLAs of several MPLS network providers. It is also helpful to look at their existing clients and check references to evaluate their performance.
Subsequent to comparing SLA’s, it is important for businesses to assess, evaluate and understand the Class of Service (CoSs) and Quality of Service (QoS) offered by the carrier. The Quality of Service (QoS) is impacted by the carrier’s consolidation and prioritisation decisions for different traffic categories. These standards must comply with the requirements of your business, and the contract with the service provider must specifically describe and list these service commitments.
While the mentioned points form a base to shortlist the right MPLS network provider, other factors such as routing protocols, staff expertise, 3rd party partnerships, network architecture and future scalability capabilities must also essentially be a part of the decision making process.
Despite the fact that cost is a major consideration in any business decision, your company’s long-term objectives and alignment with current and future needs should ultimately take precedence. After all, your MPLS Network will form the backbone of your business while looking at it from a wider perspective.
How to improve your team’s velocity by tracking and measuring lead time?
Credits: Published by our strategic partner Kaiburr
Digital transformation has turned every organization into a software company, regardless of the industry they are part of. Companies are required to react faster to changing customer needs but on the other hand, deliver stable services to their customers. In order to meet these requirements, DevOps teams and lean practitioners have to constantly improve themselves.
DORA metrics addresses this need by providing objective data to measure the performance of software delivery teams and drive product improvement.
What are DORA metrics?
To determine the right metrics to track the effectiveness and efficiency of software teams, DevOps Research and Assessment team came up with four metrics that can be used by teams to measure their performance and find out whether they are “low performers” to “elite performers”.
The four metrics used are deployment frequency (DF), Lead time (LT), Mean time to recovery (MTTR), and Change Failure Rate (CFR).
Out of these four metrics Lead Time measures the amount of time needed to implement, test, and deliver changes to the codebase. This metric measures the time between work packet creation till its completion into production. It is one of the measures of software delivery performance also known as Development Velocity.
Benefits of implementing Lead Time
Lead Time metrics help a team to:
- Spot the areas for improvement when it comes to the delivery process
- Understand what actions to take to streamline the process
- Deliver quickly, ensuring higher quality
- Ensure stability and accountability of a product
- Make decisions based on data, not assumptions
- Spot problems like the lack of people or inefficiency of testing
- Deliver more value to clients by ensuring fast iterations and better responsiveness to feedback
- Increase the business value of a product faster and reduce waste
Let’s try to understand Lead Time in more detail.
Lead Time: As mentioned earlier, it is the time from when request for a requirement/ feature gets raised to the time it gets released into production i.e., the total time elapsed from the creation of work items to their completion. It measures the time spent in development, testing, implementation and integration but does not include the time spent in backlog prioritization and design. Shorter product lead times enable faster feedback on what is getting built and allows for quick correction.
The lower the lead time for changes, the more efficient a DevOps team is in deploying code.
In order to measure Lead Time, two pieces of data (or timestamps) are required: The exact time of the commit and the exact time of the deployment – in other words, the time from start to finish of a product. The average time is then used as an indicator for overall performance.
The question this metrics answers is, how long does it take to go from code committed to code successfully running in production.
How to calculate Lead Time?
To measure Lead Time for Changes, we need two pieces of data:
- The time taken for commit
- The time taken to release it into production
To measure lead time, calculate the time elapsed between making a commit and releasing it to production.
Calculating lead time beginning after creating a task helps teams understand the full feature life cycle, including the design and planning stages.
Based on this metric, performance of a DevOps team can be divided into four categories as per the following benchmark:
- Elite Performers: Less than one hour
- High Performer: Between one day and one week
- Medium Performers: Between one month and six months
- Low Performers: More than months
Collecting Data
One of the ways to collect data is to simply ask developers for the average lead times. A better way would be with the help of a dedicated DevOps metrics platform.
Integrating the DevOps software and committing data into everyday tracking using an automated metrics platform will give you more accurate results that are easier to aggregate and analyze.
Why should we measure Lead Time?
Lead Time is an indicator of how quickly a team responds to needs and fixes. It represents the efficiency of the process, code complexity, and team’s capacity.
The metric helps to understand how long it takes to get changes to production. If Lead Time is too high, it shows inefficiencies and bottlenecks in the process hurting team velocity and morale. A short lead time shows that a team reacts to feedback and changes quickly, sets their industry’s pace for innovation, and ultimately wins the marketplace. The team’s goal should be to reduce Lead Time for changes and react to issues in a timely manner.
In high-performing organizations, developers integrate commits to the main branch with fewer roadblocks and less time is spent waiting. Hence, deploying features into production becomes effortless, automatic and smooth.
This metric is also essential while working with clients, who prefer to work with a team that responds to urgent bug fixes within hours.
Causes of high Lead Time
High Lead Time for changes is most often caused by inefficient processes and introducing too big changes to production. Other reasons are:
- Poor Definition of Ready
- Manual testing
- Blocks and dependencies
- Inefficient development process
- Complex routes to production
- Huge changes introduced to code
How to optimize Lead Time?
Optimizing and reducing lead time can be beneficial for a DevOps team and for the success of business.
To optimize Lead Time for Changes, a team has to:
- Work with smaller iterations – smaller changes will help developers to get feedback faster and resolve issues quickly.
- CI/ CD – Automate the pipeline – Continuous deployment is a commonly used strategy in software development process where each code commit or merged pull request is automatically released to production once it passes the automated testing stage. CI/CD integrates the continuous deployment strategy with continuous integration, a practice where code changes are made regularly.
By employing these two strategies, CI/CD enables development teams to deploy code to production more efficiently and quickly.
By implementing CI/CD, speeding up the delivery process and reducing manual tasks, lead time can be reduced substantially.
- Test Automation – Use automated tests at every stage of CI/CD pipeline to spot issues earlier and to make sure the build meets acceptance criteria.
Test automation replaces many of the manual checks for developers and also allows for any necessary changes to be made early in the development life cycle, reducing change failure rates. When you integrate CI/CD with test automation, you can reduce your overall lead time, allowing you to release products to customers at a much faster rate.
- Automate code reviews – Code review is one such process that involves a lot of manual intervention. Automating this activity helps to improve quality and save time.
- Implement Test Driven Development – Integrate testing into the development process i.e., Developers have to understand the requirement, create unit test cases, execute them and then move the code into the test environment. This initiative has the following benefits:
- Raises the level of code quality and guarantees that all procedures are carried out.
- Enables the developers to plan their code before writing the same thereby reducing the time required for development.
- Supports the development teams in delivering high-quality products with fewer bugs and cleaner code.
All these initiatives will have a significant effect in reducing the lead time.
- Identify bottlenecks and eliminate them – One of the initiatives is to identify the bottlenecks in areas like change approval, streamline the required processes and eliminate the processes which do not add any value.
By measuring and tracking Lead Time, a team can make better, more informed decisions about what can be improved and understand how to do that. When Lead Time improves, a team can be sure that they’re making good choices and delivering more value to customers and users of a product. A team should not only thrive to become an elite performer but also has to deliver better business value faster.
Kaiburr helps every product engineering team to measure their performance near real time using industry standard KPIs like those shown below –
You can then drill down to specific trends in lead time for a portfolio, project, initiative, team, epic, sprint or release like the below –
You can also compare lead time with other KPIs to identify bottlenecks and improve –
If you want to get started with your Stage Gate Compliance journey using Kaiburr reach us at marketing@sifycorp.com
Credits: Published by our strategic partner Kaiburr