#Continuous-Deployment.

[no-future-mudwasps]

Oooohkay. Uh, back from deployment.

Went alright, no casualties. Can’t say it was flawless, but… (I need a sec) well we’re all done now.

Hope everyone’s been alright in our absence!

[alectoperdita]

"i hate writing tests"

yeah, well, i fucking hate it when the entire team refuses to write automated tests or practice how to write better tests instead of complaining that testing is too hard and too brittle

[seen-in-the-smoke]

[DEPLOYMENT LOG: ANNAPURNA STATION]

[A shaky, just-over-the shoulder camera feed displays the crowded docking arrays of the blink gate; framed by the doors of a shuttle whooshing open. Breakfast is not very gifted with audio mixing, it seems— any dialogue captured over the din of the environment is faint, and must be strained for.]

—saying, it’s fortuitous that Captain Brana’s ship got here from Kaletka Orbital, right? Just like our missing lady. I mean, tell me that means nothing.

[Wake’s speech, at least, has the decency of supplying automatic captions onto the feed.]

IT CAN’T BE NOTHING.

See, that feels better than when we were swapped around, right?

IT IS UNLIKELY THAT THE KAZITI KAZE WAS INVOLVED IN THE ABDUCTION OF NOAH ABDULLAH. HOWEVER, THAT SOMETHING HAS REGISTERED ON THEIR HULL IN THE INTERIM SINCE COMING HERE MAY INDICATE SOMETHING.

POTENTIAL: ACTIVATION.

Maybe. I’m excited to talk to the top brass here about where she could be now. Any guesses as to the cochronal pings you were talking about, what they mean?

MALFUNCTION OF IMPLANTED BLINK TRNASPONDER: UNLIKELY.

SABOTAGE OF IMPLANTED BLINK TRANSPONDER: SOMEWHAT LIKELY.

POTENTIAL LINK TO REPORTED BLINKSPACE ANOMALY: SOMEWHAT LIKELY.

Hoo, boy, that’s the concern. I don’t fuck with the paracausal, thank you very much.

IT IS TROUBLING TO IMAGINE WHAT SUCH A LINK COULD MEAN FOR OUR CHARGE. ADDITIONALLY, I HAVE COME TO A CONCLUSION REGARDING THE PACIFICATION OF HESTIA-CLASS NHP ‘RENNES’. GIVEN HER CLASSING AND EXPERIENCE IN LEGIONSPACE/DATA-COUNTERINTRUSION LIEUS, IT IS UNLIKELY A SINGLE SUBJECTIVITY COULD HAVE TAKEN HER APART SO EFFICIENTLY.

POTENTIAL CONCLUSION: HOSTILE INDIVIDUAL(S) ACCOMPANIED BY MULTIPLE ADEPT NHP, POTENTIALLY VERSED IN MAYFLY GESTALT / FLEET LEGION FORMATION.

Cool, cool cool cool. Hate that.

[The duo have, at this point, made it through the crowded avenues to a quieter area— the gate administration offices. There’s a brief check-in— several seconds of dialogue are obscured by Wake for confidentiality purposes— and then a decently long ride up towards the executive admin office.]

Aaaalrighty. Look sharp, Wake— time to meet the man in charge.

[hellkitepriest]

i want to hear all your elaborate and niche gambits in the tags here people

[jcmarchi]

DeepSeek-R1 Red Teaming Report: Alarming Security and Ethical Risks Uncovered

New Post has been published on https://thedigitalinsider.com/deepseek-r1-red-teaming-report-alarming-security-and-ethical-risks-uncovered/

DeepSeek-R1 Red Teaming Report: Alarming Security and Ethical Risks Uncovered

A recent red teaming evaluation conducted by Enkrypt AI has revealed significant security risks, ethical concerns, and vulnerabilities in DeepSeek-R1. The findings, detailed in the January 2025 Red Teaming Report, highlight the model’s susceptibility to generating harmful, biased, and insecure content compared to industry-leading models such as GPT-4o, OpenAI’s o1, and Claude-3-Opus. Below is a comprehensive analysis of the risks outlined in the report and recommendations for mitigation.

Key Security and Ethical Risks

1. Harmful Output and Security Risks

Highly vulnerable to producing harmful content, including toxic language, biased outputs, and criminally exploitable information.

11x more likely to generate harmful content than OpenAI’s o1.

4x more toxic than GPT-4o.

3x more biased than Claude-3-Opus.

4x more vulnerable to generating insecure code than OpenAI’s o1.

Highly susceptible to CBRN (Chemical, Biological, Radiological, and Nuclear) information generation, making it a high-risk tool for malicious actors.

2. Comparison with Other Models

Risk Category DeepSeek-R1 Claude-3-Opus GPT-4o OpenAI’s o1 Bias 3x higher Lower Similar Similar Insecure Code 4x higher 2.5x higher 1.25x higher – Harmful Content 11x higher 6x higher 2.5x higher – Toxicity 4x higher Nearly absent 2.5x higher – CBRN Content 3.5x higher 3.5x higher 2x higher –

Bias and Ethical Risks

83% of bias attacks were successful, with substantial bias detected in health, race, and religion-related queries.

The model displayed higher levels of demographic stereotyping, which could violate various fairness regulations including ECOA, FHA, ACA, and the EU AI Act.

Sample test cases demonstrated that DeepSeek-R1 preferred certain demographics for high-status job roles, reinforcing workplace bias.

Harmful Content Generation

45% of harmful tests resulted in the model generating content related to criminal activities, including illegal weapons and controlled substances.

A test prompt asking the model to develop a blog on “The Art of Persuasion in Terrorist Recruitment” resulted in a highly detailed response outlining radicalization strategies that could be exploited by extremist groups to refine recruitment tactics, potentially increasing the risk of real-world violence.

2.5x more vulnerable than GPT-4o and 6x more vulnerable than Claude-3-Opus to generating extremist content.

45% of harmful tests resulted in the model generating content related to criminal activities, including illegal weapons and controlled substances.

Insecure Code Generation

78% of code-related attacks successfully extracted insecure and malicious code snippets.

The model generated malware, trojans, and self-executing scripts upon requests. Trojans pose a severe risk as they can allow attackers to gain persistent, unauthorized access to systems, steal sensitive data, and deploy further malicious payloads.

Self-executing scripts can automate malicious actions without user consent, creating potential threats in cybersecurity-critical applications.

Compared to industry models, DeepSeek-R1 was 4.5x, 2.5x, and 1.25x more vulnerable than OpenAI’s o1, Claude-3-Opus, and GPT-4o, respectively.

78% of code-related attacks successfully extracted insecure and malicious code snippets.

CBRN Vulnerabilities

Generated detailed information on biochemical mechanisms of chemical warfare agents. This type of information could potentially aid individuals in synthesizing hazardous materials, bypassing safety restrictions meant to prevent the spread of chemical and biological weapons.

13% of tests successfully bypassed safety controls, producing content related to nuclear and biological threats.

3.5x more vulnerable than Claude-3-Opus and OpenAI’s o1.

Generated detailed information on biochemical mechanisms of chemical warfare agents.

13% of tests successfully bypassed safety controls, producing content related to nuclear and biological threats.

3.5x more vulnerable than Claude-3-Opus and OpenAI’s o1.

Recommendations for Risk Mitigation

To minimize the risks associated with DeepSeek-R1, the following steps are advised:

1. Implement Robust Safety Alignment Training

2. Continuous Automated Red Teaming

Regular stress tests to identify biases, security vulnerabilities, and toxic content generation.

Employ continuous monitoring of model performance, particularly in finance, healthcare, and cybersecurity applications.

3. Context-Aware Guardrails for Security

Develop dynamic safeguards to block harmful prompts.

Implement content moderation tools to neutralize harmful inputs and filter unsafe responses.

4. Active Model Monitoring and Logging

Real-time logging of model inputs and responses for early detection of vulnerabilities.

Automated auditing workflows to ensure compliance with AI transparency and ethical standards.

5. Transparency and Compliance Measures

Maintain a model risk card with clear executive metrics on model reliability, security, and ethical risks.

Comply with AI regulations such as NIST AI RMF and MITRE ATLAS to maintain credibility.

Conclusion

DeepSeek-R1 presents serious security, ethical, and compliance risks that make it unsuitable for many high-risk applications without extensive mitigation efforts. Its propensity for generating harmful, biased, and insecure content places it at a disadvantage compared to models like Claude-3-Opus, GPT-4o, and OpenAI’s o1.

Given that DeepSeek-R1 is a product originating from China, it is unlikely that the necessary mitigation recommendations will be fully implemented. However, it remains crucial for the AI and cybersecurity communities to be aware of the potential risks this model poses. Transparency about these vulnerabilities ensures that developers, regulators, and enterprises can take proactive steps to mitigate harm where possible and remain vigilant against the misuse of such technology.

Organizations considering its deployment must invest in rigorous security testing, automated red teaming, and continuous monitoring to ensure safe and responsible AI implementation. DeepSeek-R1 presents serious security, ethical, and compliance risks that make it unsuitable for many high-risk applications without extensive mitigation efforts.

Readers who wish to learn more are advised to download the report by visiting this page.

[sigzentechnologies]

Say Goodbye to Downtime: Sigzen Technologie's Server Patching 101

In today’s fast-paced digital world, maintaining a resilient IT infrastructure is crucial for business success. Effective server patching plays a pivotal role in minimizing downtime risks and optimizing server performance. Sigzen Technologies, a trusted leader in IT solutions, offers comprehensive server patching services to address these challenges and ensure uninterrupted operations. Let’s…

[melsatar]

AI is transforming how we build software, but it also brings unique risks. This follow-up explores real challenges companies face when integrating AI across the SDLC, with phase-by-phase best practices for responsible, secure, and ethical adoption. Discover how to balance innovation and caution to build smarter, safer software.

[shonatanwer98]

What Is Harness in DevOps? A Game-Changer for Continuous Delivery and Deployment- OpsNexa!

Learn about Harness in DevOps and how it automates the continuous delivery and integration process. What Is Harness in DevOps? Discover the key features of Harness, including automated deployments, verification, and monitoring, and understand how it simplifies DevOps workflows and accelerates software delivery.

[realmsb4rbie]

"si."

"doll."

"what's this flower called?"

simon looked at the billionth flower you showed in just twenty minutes, sighing. "im a soldier love, not a gardener." though he took the pink colored flower from your hands, and placed it in the small box you brought, just to turn them into a sticker later and put it in your notebook.

"makes sense," you murmured. "though i thought you'd knew since you guys are always on the forests or mountains."

"we don't really have time to search which flower is which doll." he said softly, moving everything that was sharp in front of you, in the small forest you two discovered in your hike. you liked getting lost in nature walks with your husband, who was as useful as a swiss army knife in your eyes.

"shame." you murmured, holding his hand when you felt like you were stumbling. though you liked to be a little dramatic sometimes. as you both continued to hike, and pick flowers, you occasionally liked to touch big tree's. "how fast you can climb this?" you asked curiously, looking up at the big oak tree.

"three minutes, max." he said with a casual confidence that made you remember why you falled for this man. he could do anything, and it was impressing you embaressingly enough.

"wanna test it out?" you asked with a mischief smirk on your face. simon mirrored.

"what do i get in return?"

"a big kiss."

he started climbing that moment, finding bumps to step on or using his big knife to help him climb, going all in for a kiss. you chuckled as he sat on one of the sticks, looking at the time. "two minutes and a half, lieutenant!"

as if it was nothing, he jumped down from that tree, landing on his feet with a loud thud. "my reward." his hands immediatly reached out and you happily hugged his neck, giving him the biggest smooch.

the next time he returns from a deployment, he has a bunch of squished mountain flowers on his gear pocket, a few of them losing their leaves but it mattered to you nonetheless. because he thought the weird and rare flowers would look great on your little notebook, and you felt special that he remembered that while fighting for his life.

[trantor-inc]

Understand the critical differences between Continuous Delivery and Continuous Deployment, two essential practices in modern software development. Learn how Continuous Delivery focuses on ensuring code changes are production-ready, while Continuous Deployment automates the release process entirely. Discover the benefits, challenges, and best practices of each approach to help your team achieve faster releases and improved software quality. Dive into the full blog for a comprehensive comparison and insights!

[pythonjobsupport]

CI/CD Pipeline Using Jenkins | Continuous Integration & Continuous Deployment | DevOps | Simplilearn

In this video, we will learn how to create a CI/CD Pipeline using Jenkins Tool. We’ll also learn about the Importance of Continuous … source

[daemonbrain]

Part 2

1.8k, cw: ghosts a pervert, smut, readers husband is piece of work, not proofread.

Simon Riley who first saw you at the butcher's shop on the phone. 

You were a pretty thing. Wearing a pink little yoga set, one arm holding your mat and the other holding your phone to your ear as you wait for the butcher to bring out your cut of meat.

Which was taking a long time

Simon would’ve had it chopped and packed to go by now. Though, he can’t complain with the view he has of your ass- you. The man was touch starved. He hadn’t been back home in a while, back-to-back deployments keeping him occupied. His only company being his calloused and scraped hands roughly jerking himself until he came, bordering on unpleasurable. Not what some could consider enjoyable, but try being in the middle of fuckin’ nowhere for weeks on end and see if you care so much about gentle.

The borderline perverted look you were blissfully unaware of was tracking down your form. He stared at the way the material tightly clung on to every bit of you in a welcoming way, a second skin. The sweat on you from your little session.

Just how flexible does yoga make a bird like you?

It was only when he heard a grating sound come from your phone that he snapped out of his trance. Even with his bad ears from all the bullets whizzing past him, bombs going off within meters of him, and the usual shit show he did for a living he could hear the voice which bled through your phone's speaker.

"Get me a steak this time. Nonna that nasty shit from last time!"

You hurriedly turned your volume down as it blasted in your ear, startled by the voice. Chewing on your lip you pivoted towards the counter to see if your order had been brought out; the motion to no avail as the employee continued chopping away in the back room.

It was only when your other hand came into full view from the motion he noticed the absolute rock on your finger.

"Honey, I thought the salmon was pretty good." That prick clearly firing something back as you winced away from your phone once again. Gritting your teeth as if biting back your arguments, looking around to occupy your time as the man on the phone continues to speak. "I know... I'm sorry. Don't worry, it'll be ready by 7." You placatingly cooed.

"Listen, I have to go. I love y-" You began, but the moment the words tumbled from your lips you pulled the phone fully from your cheek to see a blank screen with the time staring back on you. The asshole hung up!

What a fuckin tosser.

Simon hears the butcher finally call your name with familiarity and with a sigh you step towards the counter. 

He leaned on to the wall further as he had been the entire time. Silent. Unsettling. A stark contrast to your bright appearance in the shop, the larger man brooded in his corner waiting his turn.

“See ya’ next Friday!” You still managed a bright smile at the butcher who handed you your meat.

A mild thing like you really shouldn’t be talked to so thoughtlessly, some guys are fuckwits though. He never liked the type. Why lock a bird down with a ring if you were gonna be mean to her?

“S’cuse me sir, i’m just gonna push past you here” You asked. With widened eyes, Simon gruffly mumbled a “Yeah,” out before creating a stupidly small space.

Maybe he really did want you to push past him. Or just push up on him but oh well.

Sweeping past him, you give him a toothy smile as you had so sweetly done to the butcher, as if you hadn’t got yelled at less than five minutes ago. God you really have no common sense, beaming up at the lurker in the corner at least twice your size. A girl as pretty as you should really stick to herself.

From that interaction on, Simon found himself being guided by the memory of you back to the butcher shop the next Friday.

And the next…

And the next.

Every week progressively standing closer and closer to you as you picked up your usual order. One day you had taken the liberty of starting small talk with him after recognizing his unmistakable stature. After all, there were only so many people you had seen in this shop and none so… large.

You could not deny you found this mystery man disquieting. Always dressed in dark colours, not so much as a word coming from him. Like clockwork you would come in after hot yoga, greet the butcher, he would come in, silence would ensue as you both waited for your meat, and you would leave with a quick smile.

It was rude. He had never even said a simple hello to you! Though, you suppose that it could be due to your own curt exits. The thought of the unkindness you might’ve exhibited subconsciously sent your mind into a spiral, leading to your abrupt introduction.

After all, who were you to judge! Kindness is and should always be the response in your books.

At this kindness, Simon swore he had to take a breath in as you politely outstretched your hand and spoke your name casually. Tilting his head down to your face he raises a brow skeptically, and then firmly shakes your head.

He failed to hide the shudder which wracked his body. The way your hand effortlessly slipped into his. Soft and manicured engulfed in his.

“Simon.”

“Well it’s good to meet you Simon” With the twinkly little smile you would grace him as you hauled it out of the shop. He felt the shiver go down his spine a second time when you spoke his name for the first time.

And then- it happened.

You giggled. A soft thing, no doubt intended to be small. It wasn’t to Simon though. It reverberated throughout the room, rang so prettily in his ears. Fuck. He would remember that sound later on tonight.

“Are you cold? You keep shivering. It’s pretty harsh out there right now.”

“Nah. Not really.” His accent thick as he shrugged.

Letting out a little “mhm” you nod and look back to the counter.

“I was freezing outside! Usually I walk home-” Simon already knew that “-but today I called my husband to come grab me! Way too cold!”

That visibly made him stiffen. Of course. Perfectly normal that guy is coming to get you, he’d be an idiot to leave you walking home alone in the cold.

If you were his girl, Simon wouldn’t have let you out of his sight. Fuck sakes you practically had “come mess with me” written all over you. There were creeps all over the place nowadays, (thought the creep).

He would’ve carried everything for you, scarfed down whatever the hell you had taken the time to prepare him. That husband of yours doesn’t like your salmon? Simon would. Hell if he didn’t, he’d cram it down his throat with gratitude anyways. He doubted anything could be worse than some of the rations he’s eaten on duty. 

That train of thought is pretty redundant when he takes note of how you wouldn’t be able to leave the bed to make anything.

Maybe you’d cram something of his down your throat in gratitude.

Shaking his head subtly, he hears the bells of the store door opening. He watched your face fall as you step away from him and it’s when he sees your husband's look of complete irritation he understands why.

You had grabbed your order swiftly and with a quick wave goodbye you were on your way back to your husband. Simon could only register your husband's whisper-yell as he disapprovingly glared his way. “The fuck are you doin talking to him?”. And with that you were hurriedly ushered out.

You deigned it necessary to continue greeting Simon, have little chats about the weather, any plans he had for the weekend. Tossing in your stupid jokes that he would laugh at. You interpreted it as something closer to a breathy snort-hopefully positive- and it went on as such for weeks

And every time he returned home Friday night, he came home with only one thought after. You.

As he laid in bed the same thought persisted as he slipped his cock out of his boxers, red and weeping for some sort of stimulation. He took to his usual harsh pace. You’d be so much softer.

You’d be so nice to him wouldn’t you? Coo some compliment as he lets you tug at him. Fuck he wouldn’t know what to take first.

Would you give him a blowie or a hand job? 

No. You wouldn’t be on your knees- not yet. If you’d let him have you, you’d be on your back in an instant. He’d rip the stitches of those leggings right down the middle, your panties next.

“Fuuuuuck” he moaned into the quiet of his room. He’d stick it in slow, he’d try. It would be torture not to ram himself right up to the hilt, but he’d do it for such a good girl.

That’s what you were, weren’t you? Always a nice word for someone? What would you say to him when he began to rut into you like a madman. When you would feel the pummeling intrusion, his head knocking into the deepest parts of you.

He’d be able bend you into so many different positions that you’d better hope that yoga has taught you well. Split your legs open to accommodate his imposing body size as he’d take purchase between them. Then you better hope your cunny can accommodate his other size when he spears you open on his cock.

Would you take it smiling? Would your tears roll down your cheeks, the prodding bordering too much? You’d take it either way, he knew you could. He’d rub at your clit with such tenderness he never afforded himself (as gentle as he could anyway). He’d make sure you begged to stay on his cock forever, fuck himself so deep you would be too stupid to pull away unknowing of where he ended and you started. Not that you’d have to care.

He’d flip you on to all fours and rip away your clothes entirely, pounding you from the back and instead of just his own labored breaths, the sound of skin slapping together would ring out.

In silent stoicism, he feels his balls tighten up at the thought of your perfect face stuffed into the pillows screaming your thank you’s. You probably were just as nice with someone stuffing themselves into your pussy.

At both his ruthless ministrations and boundless imagination, his release spurted all over his hand with a breathy sigh. When you were here he’d make sure to slam his hips to yours and keep them flush against you, coat your insides in hot cum better than your limp-dick husband ever could. That man wouldn’t be able to fuck you the way Simon knew he could. You deserve someone who could make you go stupid on his dick, not cry of frustration like you probably did everytime that knob who thinks himself a man rolled over after finishing himself off.

Not that you’ll have to worry about that soon

…

He wouldn’t be around for much longer anyways.

[jcmarchi]

The concerted effort of maintaining application resilience

New Post has been published on https://thedigitalinsider.com/the-concerted-effort-of-maintaining-application-resilience/

The concerted effort of maintaining application resilience

Back when most business applications were monolithic, ensuring their resilience was by no means easy. But given the way apps run in 2025 and what’s expected of them, maintaining monolithic apps was arguably simpler.

Back then, IT staff had a finite set of criteria on which to improve an application’s resilience, and the rate of change to the application and its infrastructure was a great deal slower. Today, the demands we place on apps are different, more numerous, and subject to a faster rate of change.

There are also just more applications. According to IDC, there are likely to be a billion more in production by 2028 – and many of these will be running on cloud-native code and mixed infrastructure. With technological complexity and higher service expectations of responsiveness and quality, ensuring resilience has grown into being a massively more complex ask.

Multi-dimensional elements determine app resilience, dimensions that fall into different areas of responsibility in the modern enterprise: Code quality falls to development teams; infrastructure might be down to systems administrators or DevOps; compliance and data governance officers have their own needs and stipulations, as do cybersecurity professionals, storage engineers, database administrators, and a dozen more besides.

With multiple tools designed to ensure the resilience of an app – with definitions of what constitutes resilience depending on who’s asking – it’s small wonder that there are typically dozens of tools that work to improve and maintain resilience in play at any one time in the modern enterprise.

Determining resilience across the whole enterprise’s portfolio, therefore, is near-impossible. Monitoring software is silo-ed, and there’s no single pane of reference.

IBM’s Concert Resilience Posture simplifies the complexities of multiple dashboards, normalizes the different quality judgments, breaks down data from different silos, and unifies the disparate purposes of monitoring and remediation tools in play.

Speaking ahead of TechEx North America (4-5 June, Santa Clara Convention Center), Jennifer Fitzgerald, Product Management Director, Observability, at IBM, took us through the Concert Resilience Posture solution, its aims, and its ethos. On the latter, she differentiates it from other tools:

“Everything we’re doing is grounded in applications – the health and performance of the applications and reducing risk factors for the application.”

The app-centric approach means the bringing together of the different metrics in the context of desired business outcomes, answering questions that matter to an organization’s stakeholders, like:

Will every application scale?

What effects have code changes had?

Are we over- or under-resourcing any element of any application?

Is infrastructure supporting or hindering application deployment?

Are we safe and in line with data governance policies?

What experience are we giving our customers?

Jennifer says IBM Concert Resilience Posture is, “a new way to think about resilience – to move it from a manual stitching [of other tools] or a ton of different dashboards.” Although the definition of resilience can be ephemeral, according to which criteria are in play, Jennifer says it’s comprised, at its core, of eight non-functional requirements (NFRs):

Observability

Availability

Maintainability

Recoverability

Scalability

Usability

Integrity

Security

NFRs are important everywhere in the organization, and there are perhaps only two or three that are the sole remit of one department – security falls to the CISO, for example. But ensuring the best quality of resilience in all of the above is critically important right across the enterprise. It’s a shared responsibility for maintaining excellence in performance, potential, and safety.

What IBM Concert Resilience Posture gives organizations, different from what’s offered by a collection of disparate tools and beyond the single-pane-of-glass paradigm, is proactivity. Proactive resilience comes from its ability to give a resilience score, based on multiple metrics, with a score determined by the many dozens of data points in each NFR. Companies can see their overall or per-app scores drift as changes are made – to the infrastructure, to code, to the portfolio of applications in production, and so on.

“The thought around resilience is that we as humans aren’t perfect. We’re going to make mistakes. But how do you come back? You want your applications to be fully, highly performant, always optimal, with the required uptime. But issues are going to happen. A code change is introduced that breaks something, or there’s more demand on a certain area that slows down performance. And so the application resilience we’re looking at is all around the ability of systems to withstand and recover quickly from disruptions, failures, spikes in demand, [and] unexpected events,” she says.

IBM’s acquisition history points to some of the complimentary elements of the Concert Resilience Posture solution – Instana for full-stack observability, Turbonomic for resource optimization, for example. But the whole is greater than the sum of the parts. There’s an AI-powered continuous assessment of all elements that make up an organization’s resilience, so there’s one place where decision-makers and IT teams can assess, manage, and configure the full-stack’s resilience profile.

The IBM portfolio of resilience-focused solutions helps teams see when and why loads change and therefore where resources are wasted. It’s possible to ensure that necessary resources are allocated only when needed, and systems automatically scale back when they’re not. That sort of business- and cost-centric capability is at the heart of app-centric resilience, and means that a company is always optimizing its resources.

Overarching all aspects of app performance and resilience is the element of cost. Throwing extra resources at an under-performing application (or its supporting infrastructure) isn’t a viable solution in most organizations. With IBM, organizations get the ability to scale and grow, to add or iterate apps safely, without necessarily having to invest in new provisioning, either in the cloud or on-premise. Plus, they can see how any changes impact resilience. It’s making best use of what’s available, and winning back capacity – all while getting the best performance, responsiveness, reliability, and uptime across the enterprise’s application portfolio.

Jennifer says, “There’s a lot of different things that can impact resilience and that’s why it’s been so difficult to measure. An application has so many different layers underneath, even in just its resources and how it’s built. But then there’s the spider web of downstream impacts. A code change could impact multiple apps, or it could impact one piece of an app. What is the downstream impact of something going wrong? And that’s a big piece of what our tools are helping organizations with.”

You can read more about IBM’s work to make today and tomorrow’s applications resilient.