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monitoring devopsdigest skip to main content devopsdigest main menu home features blog forum news events reports papers webinars tools apmdigest monitoring why devops teams build genai tooling while most organizations still rely on manual monitoring july 09 2026 44 of organizations have reported an outage in the past year tied to suppressed or ignored alerts and 78 had at least one incident where no alert was fired at all engineers learned about failures from customers that gap between what our tools report and what our customers experience is the problem devops teams have been quietly solving with genai tooling even as most enterprises continue to run their nocs on manual alert triage the data quality crisis undermining enterprise analytics july 07 2026 you can spend millions on cloud infrastructure hire the right data team and still end up with dashboards no one fully trusts that situation is more common than most companies admit on paper everything looks modern there is a data warehouse pipelines are running and reports are being generated in reality teams quietly question the numbers double check outputs or avoid using analytics altogether when decisions feel too important to risk the problem usually is not the platform it is the data moving through it building defensible ai with purple teaming and continuous monitoring march 10 2026 ai powered systems are no longer experimental they sit at the center of cloud native applications making real time decisions that affect customers revenue and risk yet many organizations still secure these systems the same way they did a decade ago by focusing on infrastructure and perimeter controls while assuming the intelligence layer will behave as expected that assumption is becoming increasingly dangerous exploring the power of ai in software development part 2 more processes october 29 2024 part 2 of this series covers more processes that can be supported or improved by ai including security testing deployment documentation and more the role of devops in application modernization march 06 2024 devops acts as an enabler when taking an application modernization approach as businesses evolve embracing devops principles will be the cornerstone of their successful application modernization journey these will ensure their software remains robust secure and user friendly in the face of technological advancements and market demands this blog explores the role of devops in application modernization developers can leverage opentelemetry to achieve fuller visibility may 25 2023 developers need a tool that can be portable and vendor agnostic given the advent of microservices it may be clear an issue is occurring what may not be clear is if it s part of a distributed system or the app itself enter opentelemetry commonly referred to as otel an open source framework that provides a standardized way of collecting and exporting telemetry data logs metrics and traces from cloud native software 5 best practices for a successful devops transformation june 02 2022 businesses developing software products need to plan and implement an effective devops transformation strategy to achieve a host of objectives these include reduced time to market faster query resolution shorter development cycles streamlined processes and increased deployment speed among others the 5 best practices to achieve the same are devops automation what devops tasks should you automate may 16 2022 the devops journey begins by understanding a team s devops flow and identifying precisely what tasks deliver the best return on engineers time when automated the rest of this blog will help devops team managers by outlining what jobs can and should be automated what are engineers saying about cloud native s impact on observability january 06 2021 for the last few years cloud native technologies like microservices serverless and kubernetes have been increasingly dominant in the technology stack of modern engineering teams why first of all they work seamlessly with modern cloud environments they re scalable resilient and enable continuous delivery of software in an agile fashion but all these benefits don t come without drawbacks 2021 devops predictions part 3 december 14 2020 industry experts offer thoughtful insightful and often controversial predictions on how devops and related technologies will evolve and impact business in 2021 part 3 covers devops tools and automation what you should be monitoring to ensure digital performance november 20 2018 in today s digital economy monitoring is a must your customers must be able to access your website and your apps interact purchase and monitoring is one way to make sure this keeps happening but the first question has to be what should be monitored with this in mind apmdigest asked experts from across the it industry for their opinions on what it departments should be monitoring to ensure digital performance the top tools to support devsecops part 3 may 24 2018 devopsdigest asked experts from across the it industry for their opinions on the top tools to support devsecops part 3 covers security and monitoring how devops can improve hybrid it management september 16 2016 companies of all sizes still struggle with the challenges of successfully implementing and sustaining an effective hybrid it ecosystem however incorporating the core principles of a devops culture into nearly any environment can allow organizations to better and more fully realize the agility and efficiency of cloud first organizations continuous improvement the by product of monitoring september 07 2016 in an industry where failure is unavoidable learning and innovating through feedback loops is your best course of action instead of focusing on increasing the time until your next failure you should focus on decreasing the time it takes for your systems to recover following a failure 3 levels of network monitoring for devops june 15 2016 network communications are a top priority for devops teams working in support of modern globally distributed systems and microservices but basic network interface statistics like received and sent traffic aren t as useful as they once were because multiple microservices may share the same network interface for meaningful analysis you need to dig deeper and correlate network traffic metrics with individual processes this is however just the beginning 1700 devops monitoring experts agree too many alerts from too many tools put customers at risk may 18 2016 we re all technology companies every second of downtime hurts monitoring at scale is hard and that s just the beginning of what you shared in our recent survey 6 key requirements to help you more proactively monitor your it infrastructure february 10 2016 to optimize application performance it teams need to proactively ensure the optimized performance of every underlying infrastructure component including physical and virtual servers networks storage devices databases end user services and cloud and big data environments it is imperative that they not only identify and resolve issues quickly but also pre empt potential issue before there s an adverse impact on the user experience below are six key requirements that can help you achieve these objectives 5 steps to devops success november 12 2015 improving end user customer experience is one of the key objectives of an application performance management solution in a production environment by leveraging the application performance data earlier in the development cycle devops teams can ensure readiness for exceptional customer experience before deploying any application in production finally harnessing the business data in application transactions and logs and correlating them with operational data can provide actionable business insights in this blog i will discuss five steps to devops success leveraging an application performance management solution in production engineering unhappy with devops monitoring tools august 20 2015 circonus conducted a survey at the recent chefconf show some of the results were what we expected especially of such a devops oriented audience other results were surprising as we tried to gauge for example how far along people were on their devops journey and in particular what the new devops requirements were for monitoring tools 18 ways to ensure application performance before rollout part 1 february 11 2015 ensuring application performance is not just about it operations prior to app rollout the role of development and devops teams and even it operations in preventing application performance problems cannot be underestimated but how do these diverse teams accomplish this goal how do they prevent or even identify application performance issues before the app is even in production with these questions in mind apmdigest asked experts from across application performance management apm and related markets for their recommendations on the best ways to ensure application performance before app rollout this extensive list includes processes approaches and tools to consider apmdigest presents the 18 recommendations in three parts with six categories presented each day the first six recommendations presented here start out with development s performance basics including devops and apm 3 key components of the mobile app testing cycle september 11 2013 an integrated and iterative mobile application testing cycle should include the following key components 5 keys for effective mobile performance testing may 06 2013 while mobile is quickly becoming the de facto market platform for many of the business critical applications deployed by banks insurance companies and other enterprise organizations the need to ensure an optimal end user experience mandates a robust mobile performance testing environment building an efficient mobile performance test strategy should consist of the following five pillars email signup sign up for devopsdigest email search form upcoming webinars delivering amazing digital experiences with gitlab ci july 14 2026 c c continuous testing july 15 2026 c c software testing august 19 2026 on demand webinars ai generated code for critical systems can we trust it how to test microservices without waiting on downstream services bridging googletest unit testing compliance in safety critical software gitlab transcend virtual event check point sase internet access optimization performance tuning check point sase identity integration access policy design best practices smarter pull requests ai that tests fixes validates java code improving embedded software quality with clion parasoft c c test generate api mocks autonomously in your build pipeline with your llm test impact analysis explained escaping regression slowdowns in long lived software building realistic service dependencies with your llm client how to achieve cra compliance starting with secure by design appsec at scale actionable insights from 1 000 cyber range events gitlab transcend exploring the true potential of agentic ai for software delivery all webinars analyst reports certified by design making googletest ready for safety critical software development 2026 gartner magic quadrant for devsecops platforms miercom 2026 hybrid mesh network security benchmark report frost sullivan 2026 best practices recognition global web application firewall waf and api security industry gigaom application api security radar 2026 gigaom cloud network security radar 2025 2025 gartner magic quadrant for email security 2025 gartner magic quadrant for ai code assistants 2025 gartner magic quadrant for hybrid mesh firewall 2025 gigaom radar for anti phishing the forrester wave zero trust platforms q3 2025 miercom 2025 enterprise and hybrid mesh firewall security report gigaom 2025 attack surface management radar all analyst reports white papers check point illumio hybrid mesh security in the age of ai 2026 cloud security report securing the ai transformation application security at scale insights from 1 000 cyber range events the intelligent software development era cyber security report 2026 googletest adoption challenges for safety critical code guide to api security how to maximize functional testing productivity with ai and a lean web ui test strategy performance testing best practices guide the essential guide to environment based testing the economics of software innovation waf comparison project a real world comparison cloud security report 2025 ai security report 2025 the state of cyber security 2025 all white papers media partners global rss feed about navigating devopsdigest sponsors sponsor program editorial guidelines vendor forum rules sponsor blog guidelines pr tips editor blog contact user login username password request new password the latest why devops teams build genai tooling while most organizations still rely on manual monitoring july 09 2026 agentic development and ai sdlc closing the ai coding velocity gap july 08 2026 the data quality crisis undermining enterprise analytics july 07 2026 testing at the speed of ai how agentic service virtualization helps teams validate faster 2 june 26 2026 testing at the speed of ai how agentic service virtualization helps teams validate faster 1 june 25 2026 the hidden cost of misconfigurations in hybrid cloud june 24 2026 your next customer isn t a person it s their agent june 23 2026 beyond autoscaling why smart vm scheduling is the next cost frontier for devops june 22 2026 ai has outpaced how engineering organizations measure developer productivity june 18 2026 beyond the gateways api gateways miss real development risks june 17 2026 what tighter visa scrutiny means for engineers building an extraordinary ability case june 16 2026 governing software delivery in the age of code abundance june 15 2026 agentic ai is accelerating how software gets built and how it gets attacked most enterprises are only ready for one june 12 2026 ai is rewriting what it means to be a great developer at every experience level june 11 2026 why devops teams are feeling the ai talent crunch june 10 2026 ai in sdlc right now what s working and what isn t june 09 2026 ai generated code isn t the risk untested code is june 08 2026 gartner enterprise ai coding agent entering new phase of expansion and competitive realignment june 05 2026 why itops need right sized ai not bigger models june 05 2026 the end of reactive devops ai driven observability for zero defect digital systems june 05 2026 hot topics agile ai powered dev ai ml aiops analytics api integration apm automation bizdevops ci cd cloud cloud native containers k8s database dataops dev culture development coding devex devops devsecops digital transformation e commerce iac low code no code mainframe mlops mobile monitoring open source platform engineering remote work serverless testing quality tokenmaxxing vibe coding vsm
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