Google diff match patch binary options best option trading books on amazon
Ah, observability, the new buzzword of the day. Monitoring is an activity you perform. How do we monitor? You can instrument metrics or events; metrics have certain sampling frequency and resolution…. So what is observability? It comes from system control theory. Observability is a measure of how well the internal states of a system can be inferred from knowledge of its external outputs.
Observability is a property of a system. So is observability hippy bullcrap? No, of course not. Externalizing custom metrics contributes to observability you know, like with dropwizard metrics.
So does good logging. So does proper architecture! Take a system that sticks all kinds of messages into one message queue rather than using separate queues for separate types — the latter is more observable; you can more readily see how many of what is flowing through. Making your system observable is therefore important, so that if you monitor it with appropriate instrumentation, you understand the state of the system and can make short or long term plans to change it.
While a monitoring tool can definitely contribute to this via its innovation in instrumentation, analysis, and visualization, in large part observability is a battle won or lost before you start sticking tools on top of the system.
Would you like to know more? Peco and I are working on a new lynda. Filed under DevOpsMonitoring. Tagged as monitoringobservability. Many of you have come out to the event or another of the great DevOpsDays around the world. Well, we have some changes in store this year! But — every year we sit down and discuss vision before we launch into the conference. What do we want to accomplish and why? Who are we serving and why? Why are we, personally, putting in huge amounts of unpaid work to serve the community?
Talks are either pretty familiar from the conference circuit or also designed for new folks. The first couple were just in a big auditorium at LinkedIn. More of the event was focused on the openspaces and interaction between the google diff match patch binary options best option trading books on amazon driven participants.
We ate box lunches wherever we could perch in the parking lot outside — and swag was just a t-shirt. Heck, the third one was in a weird abandoned building Dave Nielsen had access to, we had to carry our own chairs around to talks and the food and stuff was in a concrete-and-cage loading dock. What does this mean? After the organizers had a little time for it to sink in, they all rallied behind it with a vengeance. Here at DoDA we try something different every year!
We were the first to have multiple content tracks over the complaints of some purists. We added a hackathon, we added a local user group track… Last year we went big with a vengeance, and it was cool. Come ready to interact and share. Filed under ConferencesDevOps. Tagged as austindevopsdays. Not to mince words, this is usually political, buck-passing CYA of the highest order. I just read a great article on the recent U. Navy ship collision issues I wanted to pass on.
If you have been keeping up with the news, there has been a rash of Navy ships colliding with other ships causing fatalities. Michael Junge, an experienced Naval officer. Even in engineering, we are tempted to google diff match patch binary options best option trading books on amazon the problem down onto the person that made a mistake.
It is threatening when people point out flaws in processes google diff match patch binary options best option trading books on amazon systems and code you had a hand in. But the only way to actually improve your situation is to soberly assess what the actual contributors to issues are, and work towards fixing them. Tagged as post-mortemretrospective. Here they are in mildly-edited format for your edification. They pack in about people to the Norris Conference Center in Austin.
Things I took away from his talk:. Other things to read up on…. If we get hacked no one wants our product. The usual startup challenges — small group of devs, short timelines, new tech, AWS, secrets.
Continuous integration — they use codeship pro and docker Infrastructure is easy to own — many third party items, many services to secure.
Building the infrastructure — use a curated base image, organize security groups, infra as code, manage secrets with IAM when you can. Base image using packer. Strip down and then add splunk, cloudwatch, ossec, duo, etc. All custom images build off base. Security groups — consistent naming. Put them into KMS, Lambda, parameter store, vault. The Lambda pulls encrypted secrets out of s3, pushes out container tasks to ecs with secrets. Not good for large local disk space, long running jobs, big IO, super super latency sensitive.
Serverless frameworks include serverless, apex, go sparta, kappa. A framework really helps. You get an elastic, fast API running at very low cost. But IAM is google diff match patch binary options best option trading books on amazon. And then I was drafted to be in the speed debates! Less said about that the better, but I got some free gin out of it. He did a great job at explaining the basics. Kelley Misata was an MBA in marketing and then got cyber stalked.
This led to her getting an InfoSec Ph. Google diff match patch binary options best option trading books on amazon from Spaf at Purdue! Was communications director for Tor, now runs the org that manages Suricata. Her thesis was on the gap of security in nonprofits, esp. And in this talk, she shares her findings. They take money and cards and google diff match patch binary options best option trading books on amazon like other companies. Enterprises vet the heck out of their suppliers… But hand over data to nonprofits that may not have much infosec at all.
They tend to have old systems. Nonprofit environments are different because what they do is based on trust. Many just use PayPal, not a more general secure platform, for funds collection. Cybersecurity insurance passes the buck. Even PGP encrypting emails, which is very high value for most nonprofits, is ridiculously complicated for norms.
What to do to improve security of nonprofits? Use an assessment tool in an engaging way. She is starting a nonprofit, Sightline Security for this purpose. Clustering malware into groups helps you characterize how families of it work, both in general and as they develop over time. You make signatures to match samples on that behavior.
Analyzed malware like by cuckoo generally gives you static and dynamic sections of behavior you can use as inputs. To hash using shingling — concatenate a token sequence and hash them. Jaccard similarity is computationally challenging. Min-hashing Locality sensitive hash based clustering. By mosburn and nathanwallace Trying to manage 80 teams and 20k instances in 1 account — eek! They split accounts, went to bakery model.