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Cisco 300-910 : Implementing DevOps Solutions and Practices using Cisco Platforms (DEVOPS) Exam

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Exam Number : 300-910
Exam Name : Implementing DevOps Solutions and Practices using Cisco Platforms (DEVOPS)
Vendor Name : Cisco
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300-910 DEVOPS
Certifications: Cisco Certified DevNet Professional, Cisco Certified DevNet Specialist - DevOps
Duration: 90 minutes

Exam Description
The Implementing DevOps Solutions and Practices Using Cisco Platforms v1.0 (DEVOPS 300-910) exam is a 90-minute exam associated with the Cisco Certified DevNet Professional and Cisco Certified DevNet Specialist - DevOps certifications. This exam tests a candidate's knowledge of DevOps practices as it pertains to deployment automation that enables automated configuration, management, and scalability of cloud microservices and infrastructure processes on Cisco platforms. The course, Implementing DevOps Solutions and Practices Using Cisco Platforms, helps candidates prepare for this exam.

20% 1.0 CI/CD Pipeline
1.1 Describe characteristics and concepts of build /deploy tools such as Jenkins, Drone, or Travis CI
1.2 Identify the sequence, components, and integrations to implement a CI/CD pipeline for a given scenario
1.3 Troubleshoot issues with a CI/CD pipeline such as code-based failures, pipeline issues, and tool incompatibility
1.4 Identify tests to integrate into a CI/CD pipeline for a given scenario
1.5 Identify release deployment strategy (canary, rollbacks, and blue/green) for a given scenario
1.6 Diagnose code dependency management issues including API, tool chain, and libraries
15% 2.0 Packaging and Delivery of Applications
2.1 Identify the steps to containerize an application
2.2 Identify steps to deploy multiple microservice applications
2.3 Evaluate microservices and container architecture diagrams based on technical and business requirements (security, performance, stability, and cost)
2.4 Identify safe handling practices for configuration items, application parameters, and secrets
2.5 Construct a Docker file to address application specifications
2.6 Describe the usage of golden images to deploy applications
20% 3.0 Automating Infrastructure
3.1 Describe how to integrate DevOps practices into an existing organization structure
3.2 Describe the use of configuration management tools to automate infrastructure services such as Ansible, Puppet, Terraform, and Chef
3.3 Construct an Ansible playbook to automate an application deployment of infrastructure services
3.4 Construct a Terraform configuration to automate an application deployment of infrastructure services
3.5 Describe the practice and benefits of Infrastructure as Code
3.6 Design a pre-check validation of the network state in a CI/CD pipeline for a given scenario
3.7 Design a pre-check validation of the application infrastructure in a CI/CD pipeline for a given scenario
3.8 Describe the concepts of extending DevOps practices to the network for NetDevOps
3.9 Identify the requirements such as memory, disk I/O, network, and CPU needed to scale the application or service
15% 4.0 Cloud and Multicloud
4.1 Describe the concepts and objects of Kubernetes
4.2 Deploy applications to a Kubernetes cluster
4.3 Utilize objects of Kubernetes to build a deployment to meet requirements
4.4 Interpret the pipeline for continuous delivery of a Drone configuration file
4.5 Validate the success of an application deployment on Kubernetes
4.6 Describe method and considerations to deploy an application to multiple environments such as multiple cloud providers, high availability configurations, disaster recovery configurations, and testing cloud portability
4.7 Describe the process of tracking and projecting costs when consuming public cloud
4.8 Describe benefits of infrastructure as code for repeatable public cloud consumption
4.9 Compare cloud services strategies (build versus buy)
20% 5.0 Logging, Monitoring, and Metrics
5.1 Identify the elements of log and metric systems to facilitate application troubleshooting such as performance issues and streaming telemetry logs
5.2 Implement a log collection and reporting system for applications
5.2.a aggregate logs from multiple related applications
5.2.b search capabilities
5.2.c reporting capabilities
5.3 Troubleshoot a distributed application using AppDyanmics with Application Performance Monitoring
5.4 Describe the principles of chaos engineering
5.5 Construct Python scripts that use APIs to accomplish these tasks
5.5.a build a monitoring dashboard
5.5.b notify Webex Teams space
5.5.c responding to alerts and outages
5.5.d creating notifications
5.5.e health check monitoring
5.5.f opening and closing incidents
5.6 Identify additional application requirements to provide visibility into application health and performance
5.7 Describe Kubernetes capabilities related to logging, monitoring, and metrics
5.8 Describe the integration of logging, monitoring and alerting in a CI/CD pipeline design
10% 6.0 Security
6.1 Identify methods to secure an application and infrastructure during production and testing in a CI/CD pipeline
6.2 Identify methods to implement a secure software development life cycle

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Cisco DevOps real questions

chopping throughout the noise of full-stack observability | 300-910 real questions and PDF Download

Full-stack observability is the new buzz phrase. As organizations go digital, client experience becomes ever extra vital. Why? as a result of fickle buyers can change brands within the blink of an eye – or the click of a mouse.

each provider desires a bit of the motion during this market, including companies which have offered normal monitoring, log analytics, utility performance administration and similar capabilities. These organizations are joined by using a slew of latest entrants claiming conclusion-to-end visibility throughout the so-referred to as “contemporary tech stack.”

recent survey analysis, although, confirms their thesis that nobody business has it all. New entrants have a imaginative and prescient and are not encumbered with legacy technical debt. but their offerings are immature. based avid gamers with deep function units in one section are pivoting through mergers and acquisitions and organic building to fill gaps. meanwhile, cloud gamers are gaining traction and participating via a mixture of native tooling combined with powerful ecosystems to tackle this probability.

in this Breaking analysis they dive right into a contemporary enterprise know-how analysis drill down analyze on full-stack observability. And to achieve this, they as soon as once more welcome in their colleague Erik Bradley, chief engagement strategist at ETR.

what's full-stack observability?

before they get to the survey information, let’s body up and define full-stack observability.

When people discuss full-stack observability, they’re relating to the need to take into account the conduct of all the technology components that aid an utility, during the complete device. We’re speaking about the compute, storage, networking, containers, the database and other middleware components, the pipeline of statistics; and the client aspect code: the HTML, the CSS, everything right down to the cell gadget.

The thought is to supply people who can fix problems full visibility into the system with a dashboard of metrics that may also be visualized at a excessive stage and then drilled into to look logs and traces and movements and all of the metrics that might assist remediate consumer experience concerns.

an easy method to suppose about here's the ability to look everything in the tech stack that may have an effect on the consumer event.

As Erik Bradley points out during this clip, summarized beneath, unluckily it’s now not a simple difficulty to remedy:

If only it were that fundamental, correct? It’s a big area we’re attempting to encompass there with full stack observability. And besides the fact that the carriers could inform you on the first sales name that they can do it, it’s actually no longer that primary. during this particular survey they tried their finest to look at it. They needed to survey on the utility facet, infrastructure aspect, database facet, log management, protection, community. It’s a very problematic issue to encompass. The holy grail can be in a position to do it with one vendor and do it with one dashboard. I don’t suppose we’re there every time quickly.

What are ETR drill-downs?

ETR drill-downs are a customized type of survey work. Drill-downs will also be custom-made in two alternative ways. both ETR customers will request a particular course and ETR will make sure they get the responses that crucial. Or, extra customarily, drill-downs are pushed from the ETR analysis department desirous to dig into developments that their larger information encompasses. ETR has executed drill-downs from robotic technique automation to identity entry, cloud, hybrid work and extra — and observability.

This specific drill-down spawned from a huge amount of activity, no longer simplest from the executive advice officer and information know-how buyer neighborhood but additionally investment and technology consumers. hobby in observability is high presently, with loads of inbound questions and calls for for greater analysis and deeper research in this house.

during this specific drill down, ETR interviewed respondents who've a deep knowing of observability and linked topics. there have been 88 respondents in this study with varying levels of skills about each dealer’s offerings. Respondents had been were asked to be aware of the carriers and items they knew smartly.

SecOps, DevOps and infrastructure pros are the leading consumers of observability tools

Respondents had been requested who within the corporation makes use of observability tools. mainly, within the chart above, we’ve highlighted AppOps and site reliability engineers as a result of, given the emphasis on client-centricity that they hear all the time from the seller community, you could suppose these roles would be extra particularly represented. but it surely’s the folks in the “boiler room” that are using these tools – incredibly technical and really good roles.

in keeping with Erik Bradley:

i was a little stunned as well. i thought the SREs could be a little bit bigger on this, however it truly simply comes down to the infrastructure, DevOps and SecOps groups that appear to be the usage of these tools essentially the most. i assumed perhaps the application operations teams can be a bit bit more concerned. however I feel what’s definitely occurring here is you’re recognizing that the work is being completed across the entire enterprise, as you mentioned before, across the entire stack. This isn’t only 1 domain. It’s touching each aspect of the business, and that’s together with the interior IT groups.

Observability pricing is problematic

ETR asked on a scale of 1 to three (3 being most favored) which pricing mannequin respondents most favored — host-based mostly, consumer-based or amount of records ingested-primarily based pricing. The outcomes are shown under:

in accordance with Bradley:

It basically is all over the place the map from a vendor standpoint, and additionally from an conclusion-person perspective. Of the entire interviews and panels that I host, pricing’s a real problem. it is all the time, but during this specific area, it’s a true subject. and i actually just did a panel the previous day of four of these 88 survey takers, to get a bit bit deeper. considered one of them noted, “Ingestion pricing might possibly be preferable, but it’s so unpredictable.” And that’s why we’re seeing the effects skew away from it. And the other one went to date and referred to, “Ingestion-primarily based pricing is a nightmare that continues me up at evening.” because he’s so afraid he’s going to awaken the next day and spot the invoice.

So in reality what they’re trying to find right here, and the rationale the pricing is skewing that manner in this survey, is because they want predictability. It’s about their finances and it’s about their planning. besides the fact that they'd select an ingestion-based mostly model, the proven fact that they must plan for his or her budgets and that they should issue themselves with spending, they opt for greater predictable host-based mostly pricing models.

What Erik Bradley says can be Tested via simply taking a quick look at a considerable number of pricing fashions. for instance, Dynatrace Inc., Cisco techniques Inc.’s AppDynamics, Datadog Inc., Amazon net services Inc. and others tout their host-based pricing. New Relic Inc. has a splash web page promoting “No Host-primarily based Pricing” and channels friends to its consumer and utilization based mostly pricing. Datadog additionally touts its ingestion-based mostly pricing for security monitoring. AWS prices by way of ingestion for CloudWatch logs. Splunk Inc. prices on indexed information and calculates a per-gigabyte per-day metric. So metrics, dashboards, alarms, indicators, activities, and so on all could be priced differently.

Erik Bradley introduced this colour:

That’s authentic. On the panel, one person in particular decided to name out New Relic, certainly for his or her flexibility around pricing. He noted that they have got the potential to unexpectedly scale up, however additionally contract as necessary. And besides the fact that he’s a user of Splunk, he’s a user of Dynatrace, a person of Elastic, he additionally just basically wanted to name out the flexibility of new Relic during this enviornment. so that you could your point, there’s loads of different ways to price this. It’s a posh issue, however I consider the takeaway for carriers is users need flexibility.

characteristic adoption: APM, database monitoring, digital journey

Now we’ll drill into the various services and modules to determine adoption. This chart under shows adoption for utility performance monitoring or APM, database monitoring and digital event right down to the user:

We underlined APM, the blue bar, because it looks to stand out, particularly for AWS and Dynatrace, however additionally for Microsoft Azure, New Relic and Splunk. And they highlighted digital journey, the gray bar, because despite all of the chatter in the market about digital transformation and customer experience – other than a slightly higher response percent for AWS – there’s no longer a lot of adoption on that entrance. So the vendor advertising doesn’t fit the consumer conduct.

Erik Bradley offers his further commentary:

There are a few issues to aspect out here, but let’s stick with digital adventure. i used to be surprised that it become so low on this slide and normal in their survey. I did are expecting it to be greater. and never just from the vendor advertising standpoint, but you and i both comprehend on the conclusion of the day, the total element of here's to truly get into that 360 view of what your consumer is doing. So i used to be a bit bit surprised to look it that low. when they spoke to the panel the day past, a couple of people talked about, “No, listen, it’s not that they aren’t doing that. It’s simply that it’s no longer the providers that you put on this survey.” and that they known as out two selected names. One is known as Catchpoint and the other one is ThousandEyes.

Catchpoint programs Inc. is a 13-year-ancient enterprise that specializes in end-user experiences the use of options such as synthetic monitoring combined with specific person monitoring information to enhance customer experiences. The company presents a collection of monitoring features and is likely one of the many smaller names within the area.

ThousandEyes Inc. is a cloud and cyber web-concentrated monitoring platform. The enterprise turned into acquired by way of Cisco ultimate 12 months, and it bundles the ThousandEyes product in with Cisco’s AppD and Intersight offerings to round out its full-stack observability offering.

characteristic adoption: incident management, infrastructure monitoring and log administration

The chart below specializes in the subsequent set of drill-down questions posed by using ETR to its panel:

in this chart, they referred to as out infrastructure monitoring, the gray bars, and log administration, the easy blue bars. AWS and Azure stand out in these categories and Splunk, of direction, is powerful in log management.

Erik Bradley gives his comments during this clip and below:

The previous slide and this slide, you definitely need to name out AWS CloudWatch and Microsoft Azure monitor. they are very pervasive during this survey. but a couple of issues I do are looking to aspect out. even though these numbers are so high for these cloud tools, the panelists and the americans I spoke to in more element all pointed out, “pay attention, I’m going to study my cloud equipment first. I’m on their infrastructure. They’re handing it to me. and i’ll use it for what it’s decent for. however, we’re in a multicloud world and they’re no longer first rate at issues that aren’t of their ecosystem.” So in spite of the fact that these numbers are excessive, I do not agree with that AWS or Azure is going to go and take over all of the independents. In a multicloud world, they desire an impartial seller, no matter if it’s a Datadog, New Relic, they will focus on all of these later.

however you know, definitely, i was stunned that the AWS certainly changed into so high and so pervasive in here. Splunk, what are you able to say? I imply, they are the most pervasive vendor, you be aware of, they’re in all places. They had people within the panel name them a Swiss military knife. and you be aware of, that’s a very good and a nasty, that they've a lot of breadth of coverage, which is incredible, but as a result of there’s a breadth of coverage, now not all of it is notable. Log management no doubt is what they're tremendous at. They’re specialized at it. but the panelists had been announcing, “hear, if you go faraway from their core and also you are attempting to use one of the crucial different issues they claim that they could do, it requires lots of heavy lifting.”

feature adoption: community monitoring, security functions and security monitoring

under they drill into network monitoring and safety monitoring and other security services:

a couple of things stood out to us on the chart. specifically, they highlighted safety monitoring, the blue bar, because you see adoption from AWS, Azure and naturally Splunk. And they also known as out SolarWinds Inc. on account of the gigantic adoption in community monitoring.

Erik Bradley gives his commentary on the records:

I might go on for a long time about SolarWinds. I guess, it broke round 365 days in the past, even if the breach was ahead of that, the headlines had been big. You bear in mind, you and i final year did a short drill-down survey simply on SolarWinds and the have an impact on that they notion it might have. There’s a extremely true have an impact on occurring. With that spoke of, they’re not effortless to circulation far from. They asked is there any one provider that may take this complete area? And the reply was SolarWinds became top of the line located to do that, nonetheless it’s too late now. after which I drilled down a bit bit and i requested the panel, “smartly, what can they do to reinvent themselves? What can they do to alternate the reputational harm from this breach?” And the panelists all noted, “Nothing.” The reputational hurt is finished. The most suitable means for them to reinvent themselves would be to do M&A, consolidate with somebody else, alternate their identify.

users really accept as true with that presently, the handiest cause that people are still the usage of SolarWinds is it’s not that convenient to carry and shift faraway from. but there will be no new web workloads going to those people, at least according those who took their survey. That’s on SolarWinds, and they could get into more, but I suppose that’s giving the crux of the count.

On Splunk, once more, what are you able to say? On the safety side, on the SIEM facet, americans don’t need to use dissimilar companies. On the other facet, they were speaking about with full stack, some can be more desirable at APM, some might possibly be superior at infrastructure monitoring. if you happen to’re speaking about safety, you in reality do desire one seller to rule them all. And Splunk does appear to be the one which’s most neatly-entrenched on the safety aspect. And provided that the policy is consistent throughout security, you in reality can’t say much about them. So what they do smartly, their core, the information shows that people nevertheless have faith Splunk.

How consumers price strengths and weaknesses of each and every vendor

The remaining set of records they wish to demonstrate takes the consequences of several drill-down questions and consolidates them right into a single chart as proven under:

For every of the eleven groups above, ETR asked respondents if the features across the good have been strengths, weaknesses or neutral. And what we’ve carried out is are trying to consolidate the chart displaying right here: 1) Strengths are in green – meaning more than 40% of the respondents identified the characteristic as a energy; 2) The weaknesses in yellow – which means greater than 20% of respondents referred to the feature as a weak point; and 3) The neutrals in grey – where neither of those circumstances had been met. And what they did is add 4 stars for standouts facets, the place 60% or extra of the respondents referred to the feature as a strength; and a pair of stars the place the score turned into close to 60%, and weaknesses were in the single digits.

here three key aspects are terrific:

  • both huge cloud avid gamers, AWS in selected, but additionally Azure, have a pretty potent showing. And they are saying “exceedingly” as a result of there wasn’t a single feature category for any seller where more than 70% of the respondents noted a energy for that characteristic.
  • Pricing is a sore element for a lot of of the shoppers, together with these evaluating SolarWinds, New Relic, Elastic, Datadog, Dynatrace, AppD and Splunk. best AWS and Grafana had been not hit negatively on pricing.
  • New Relic stands out as showing relative energy.
  • One last element on AppD, which become bought via Cisco in 2017. The drill-down focused handiest on AppD, but as they outlined prior, groups which have mature products are filling of their gaps. Cisco, for instance, has put an interface layer over AppD, Intersight and ThousandEyes. These are three separate items available in the market, but Cisco is going to market with a technique that bolts them together and markets them as its observability solution. That’s not a foul method because combined, they can claim even more depth and breadth.

    Erik Bradley provides his views on the above facts:

    On a macro degree, the obvious situation here is here's a crowded industry and consolidation is needed. I had one panelist say to me the day past, “i can’t wait for this to consolidate. Like, here's simply crazy. There must be consolidation.” Now to your factor about Cisco; Cisco is taking the equal playbook they did with security. They’re going out and they’re purchasing incredible tools. after which now they have to make sure that they integrate these. The security aspect took them a short time to do, however they’re getting there. confidently, they can do that a little bit sooner here. What they did here is that AppD is really very powerful on the software monitoring side, with a core APM. perhaps no longer so a lot on these others. That’s why they exit and do M&A and make these strikes.

    speaking across the board, pricing turned into a problem for each one of these providers. So it simply appears to me that the conclusion-users, the patrons simply suppose like, “howdy, I shouldn’t be paying this a great deal.” We’ve got loads of selections. They ought to figure it out, as a result of they don't want to pay this much. It was the No. 1 subject across essentially each supplier.

    a different point that I in reality need to call out on this, and it’s whatever thing that their research team found definitely unique. And it’s about the digital transformation. As digital transformation continues, the workloads are moving in opposition t the cloud, and we’re obviously seeing in this facts that’s benefiting the more moderen gamers, the Datadogs and the new Relics, versus one of the most others, like a Dynatrace and a Splunk. And for those who go and in reality seem to be at the cloud SaaS integration answer alternative in particular, it becomes very, very evident. Splunk had a 38% on that number, whereas Datadog had 61%, New Relic had fifty eight%. So it’s just very clear, as digital transformation increases the need for observability, it is lifting all boats, but it surely’s lifting some sooner than others.

    everyone wants in on the observability act

    As they said on the appropriate, you have got a group of incumbents jockeying for place. organizations similar to Datadog, with its cloud-friendly model, and Elastic, with open source, are each going after Splunk’s installed base. You see startups akin to ChaosSearch Inc., out now speakme about how to do log analytics. They do more than that nevertheless it’s their starter use case – that's, going after the Elastic and the ELK (Elasticsearch, Logstash, Kibana) stack, which bought dinged a little within the survey on simplicity. That’s not a problem if you’re relaxed with a full open-supply model however perhaps no longer as well-understood as one of the answer-oriented performs. and you have got other new entrants not covered in the drilldown like Honeycomb Inc. and have a look at Inc.. VMware Inc. is even moving into the act, positioning Tanzu round observability with a Kubernetes emphasis.

    And there are dozens of alternative players in this market. It’s just about “bounce ball.”

    Erik Bradley offers his remaining suggestions in this clip summarized below:

    It’s such an enchanting house. Even IBM, they exit and purchase Turbonomic. everybody seems to be enjoying. and never simplest that, those that are already taking part in are expanding. Datadog comes out and says, “hello, they do security now.” And so I don’t really comprehend where here's going to end, however there’s too a whole lot occurring. There has to be some kind of order out of the chaos. To your element about probably the most emerging names, they simply launched their emerging expertise survey this week. these are the ones where we’re going to peer statistics on those new names, so dwell tuned for that. They don’t tune them in the core TSIS, which can be greater mature public providers, however they could be getting some information on these emerging organizations. however to your aspect, I truly do agree with that this house is all of a sudden increasing. And there’s loads of growth still left.

    in the panel the previous day I truly spoke of to americans, “How lots of your infrastructure are you monitoring these days versus how tons you need to?” And the reply was around sixty five% to 70% being monitored now. And definitely they all wish to get to one hundred%. So there is still lots of room to grow in this area, but I just don’t understand if there’s adequate room for all of those individuals which are really going after the equal percent elements. So what we’re seeing from a seller approach now could be bundling. They’re making an attempt to bundle, as a result of that’s the manner they’re going to in reality profit that market share.

    And just one final element to you for Elastic. lots of people nevertheless view Elastic as a search performance. So besides the fact that they have got use situations and observability, I still believe there’s a lot of people that received the ELK stack for business search. in order that remains sort of the place they are, and perhaps they’re no longer moving as fast as a Datadog or a brand new Relic in pure full-stack observability.

    Many thanks to their colleague Erik Bradley for his collaboration.

    be in contact

    bear in mind, these episodes are all purchasable as podcasts at any place you pay attention; simply search Breaking evaluation Podcast. take a look at ETR’s web site for the survey records and evaluation. They also publish a full file a week on Wikibon and SiliconANGLE.

    tips on how to get in touch: e mail, DM @dvellante on Twitter and comment on our LinkedIn posts.

    be aware: ETR is a separate company from Wikibon and SiliconANGLE.  if you'd like to quote or republish any of the enterprise’s statistics, or inquire about its services, please contact ETR at

    right here’s the total video analysis:

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