This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. Willie Hicks discussed how Dynatrace Application Security helps organizations adopt a security-as-code approach. The security challenges of DevOps.
Google code commits: machines have significantly surpassed humans #openroads2016 #AI #Automation Niall Murphy – SRE Google pic.twitter.com/iXVt45rjp1. Dave Anderson (@daveando) November 11, 2016. Dynatrace news. Testing this out 1, 2, 3. The post appeared first on Dynatrace blog.
Dating back to March 2016, the first-ever Dynatrace external penetration test was performed. During the first external penetration test in 2016, a high number of severe issues were found although the scope of these issues was rather small. Early reporting showed that it was possible to inject code via Python plugins.
I remember seeing these events early in 2016 as I was getting my hands dirty with Kubernetes. To increase the stability of the cluster, protect its resources, and give developers cues as to how to address problems in their code, the root cause should be addressed. Find out why your pods fail with CrashLoopBackOffs. How to get started?
For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone. As our … The post Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore appeared first on Uber Engineering Blog.
Then, you will probably want to continue reading this section and test the code that I use as I revisit key unnesting examples that I previously demonstrated with derived tables and convert them to use CTEs. You won’t miss anything important that you haven’t read before. ( SELECT TOP ( 9223372036854775807 ) *. ( SELECT S.
Here at Dynatrace, we take Observability to the next level, by displaying all information in context and adding in code-level details, end-user experience, and entity relationships all while feeding this data into our AI engine, Davis, to produce actionable insights. What happened to OpenTracing and OpenCensus?
In 2014, we discussed 4 of the top MongoDB GUIs: MongoVue, MongoHub, RockMongo, and Robo 3T (formerly Robomongo), and again in 2016: MongoDB Compass, Robo 3T, Studio 3T, and MongoBooster. It’s further enhanced by an in-place code editor which is also available in all three views. We left those at the end of this post for your review.
As digital transformation escalates, vulnerabilities are increasing as well, by more than 290% since 2016. For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code.
SRE, which was popularized by the 2016 publication of Site Reliability Engineering: How Google Runs Production Systems, often means proactively writing code and developing internal applications to combat reliability and performance concerns.
Here are the steps the solution takes, and the data it generates along the way: Instruments your code with APIs, telling system components what metrics to gather and how to gather them. This makes it easy to switch backends without the pain of re-instrumenting your code. But how is that data generated?
A role in data science eventually seemed like a natural transition, but it wasn’t without its hurdles: With my consulting background, I had to go through a few other roles first while learning how to code on the side. Tell me about some of the exciting projects you’re a part of.
Training examples were produced between 2016 and 2019, in 13 countries, with 60% of the titles originating in the USA. There is also GitHub repository with the following audio tools: Python code for data pre-processing, including scripts for 5.1 Additional Resources We have made audio features and labels available via Zenodo.
SQL Server 2016 ‘It Just Runs Faster’ A bold statement that any SQL Server professional can stand behind with confidence. Try SQL Server 2016 Today. You can take advantage of this effort packaged in SQL Server 2016. SQL 2016 supports 3X more physical memory than previous versions. – [link].
In just this past month we've had HSBC , ARM , Missguided , and most recently at re:Invent 2016 , Trainline , talking with us about how they are using AWS to transform and scale their businesses. I have been humbled by just how much our UK customers have been able to achieve using AWS technology so far.
Leslie Lamport : Today, programming is generally equated with coding. It's hard to convince students who want to write code that they should learn to think mathematically, above the code level, about what they’re doing. That same company leased 35 megawatts from us in 2016. The decimal place moved by a column.
surround audio in 2010, and began streaming Dolby Atmos in 2016 , but wanted to bring studio quality sound to our members around the world. We needed to support these choices better. At Netflix, we work hard to bring great audio to our members. We began streaming 5.1
As indicated, SQL Server 2016 added the use of SSE and AVX instructions in various code paths to improve performance. Version of SQL Server 2012, 2014, and 2016 using the Crypto* APIs take advantage of the hardware implementations through the API support. My recent posts. Reference APIs such as: CryptDecrypt.
The result is a design for SQL Server 2016 that provides high availability for the most demanding workloads on the latest hardware with minimal impact and scalable for the future. However, if you are looking to accelerate your hardware, our Always On Availability Group design for SQL Server 2016 can keep pace. one without a replica).
For more than 15 years, my colleagues and I at the Software Improvement Group (SIG) have been in the business of evaluating the quality of code, architecture, and development practices for our customers. Recently, we dove into our assessment data to discover—and quantify —trends in software development, each time comparing 2016 to 2017.
These considerations are aligned with the American Statistical Association’s 2016 Statement on Statistical Significance and P-Values , where the following three direct quotes (bolded) all inform our experimentation practice. the cost of rolling out a code change that doesn’t improve the member experience).
I joined Amazon in October 2016, as a VP in AWS Marketing focused on building relationships with customers. Retire Moonrise?—?photo photo taken by Adrian Cockcroft After a long career working at the leading edge of technology, I retire from full time work on June 3rd 2022.
bpftrace has most of DTrace's capabilities and more. ## bpftrace The prior work that led to [bpftrace] (aka BPFtrace) is discussed my earlier [DTrace for Linux 2016] post, which explains how the Linux kernel gained [eBPF]: the virtual machine that we're using to run tracing programs. bcc is powerful but laborious to program.
UPDATE 2016-12-25: This post has an important follow-up. He made 2 changes to the code base over his 6-month tenure there. At some point in every software developer’s career, we work with someone who does negative work. The notion of negative work may sound a little strange. Someone can do no work by just… not working.
To my best knowledge, even though the term NPU was first mentioned in a MICRO 2012 paper by Hadi Esmaeilzadeh et al. , the first commercial product named after NPU in industry is from Vimicro in 2016. In 2016, Dji, a China’s drone company, integrates Myriad2 in its products PHANTOM 4 and Mavic Pro.
Here at Dynatrace, we take Observability to the next level , by displaying all information in context and adding in code-level details, end – user experience , and entity relationships all while feeding this data into our AI engine , Davis, to produce actionable insights. What happened to OpenTracing and OpenCensus ? .
In the video I explained how I arrived at tracing __iwl_dbg() in this way, and how you can follow a similar approach for tracing unfamiliar code. This is not my best code, since I hacked it in a hurry, but here it is: #!/usr/bin/python usr/bin/python # # iwlstrength.py iwl wifi stregth as audio # For Linux, uses BCC, eBPF.
In SQL Server 2016, STRING_SPLIT solved a long-missing gap in a language that, admittedly, was not intended for complicated string processing. For years before SQL Server 2016 (and for years since), we've written our own versions, improved them over time, and even argued about whose was fastest.
Note that the CREATE OR ALTER part was introduced in SQL Server 2016 SP1, so if you’re using an earlier version, you will need to work with separate CREATE VIEW and ALTER VIEW statements depending on whether the object already exists or not. You already saw the code with derived tables and CTEs earlier in the series. ) , C2 AS. (
Uber : Since 2016, Uber has added several new lines of business to its platform, including Uber Eats, Uber Freight, and Jump Bikes. If you end up needing queues, the retry and reliability code you wrote in order to function without queues will still make your system more reliable. Years later someone tested a tape.
@timestamp AS DATETIME2 = '20210510 06:30:00' , @bucketwidth AS INT = 2 , @origin AS DATETIME2 = '20210115 00:00:00' ; Make sure you include this part before each of the code samples I’ll show if you actually want to run the code. This code generates the following output: 2021-02-12 00:00:00.0000000.
Use the following code to run a test with base CTE cardinality of 2 (requires 5 additional levels of CTEs): DECLARE @low AS BIGINT = 1 , @high AS BIGINT = 100000000 ; WITH. The difference is so minor, and the latter has a clear advantage in terms of code brevity, that I’d stick to 16. Let’s proceed to performance testing.
They were succeeded by programmers writing machine instructions as binary code to be input one bit at a time by flipping switches on the front of a computer. Then, development of even higher-level compiled languages like Fortran, COBOL, and their successors C, C++, and Java meant that most programmers no longer wrote assembly code.
Add to this the fact that desktop devices have a lifespan between five and eight years, on average, and that the P75 device was sold in 2016. That is, what was the average device in 2016? As this series has emphasised in years past, Average Selling Price ( ASP ) is destiny. It sure wasn't a $2,000 M1 MacBook Pro, that's for sure.
Some of the built-in features ( wal_compression ) have been there since 2016, and almost all backup tools do the WAL compression before taking it to the backup repository. This warning may mainly apply to users building their PostgreSQL from source code.
I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. To do this, the tool should have the ability to add code to (or invoke code from) your script. – Cloud. – Agile.
Then, you will probably want to continue reading this section and test the code that I use as I revisit key unnesting examples that I previously demonstrated with derived tables and convert them to use CTEs. You won’t miss anything important that you haven’t read before. ( SELECT TOP ( 9223372036854775807 ) *. ( SELECT S.
Co-founder Eliot Horowitz recounts ( {coding}bootcamps.io ): “MongoDB was born out of our frustration using tabular databases in large, complex production deployments. 2016: The company adds service-loaded MongoDB Professional to its mix. looking out for MongoDB Inc. Is MongoDB open source or paid?
LTS (April 2016). It uses a Solaris Porting Layer (SPL) to provide a Solaris-kernel interface on Linux, so that unmodified ZFS code can execute. There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process).
Run the following code to create the Transactions table and populate it with sample data: SET NOCOUNT ON ; USE TSQLV5 ; -- [link]. When you're done, run the following code to turn off performance statistics: SET STATISTICS TIME , IO OFF ; Also, don't forget to turn off the Discard results after execution option in SSMS.
In a recent tip , I described a scenario where a SQL Server 2016 instance seemed to be struggling with checkpoint times. Kendra Little – Target Recovery Interval and Indirect Checkpoint – New Default of 60 Seconds in SQL Server 2016. SQL 2016 – It Just Runs Faster: Indirect Checkpoint Default.
However, back then, it was not called The Polyglot Developer, but instead Nic Raboy’s Code Blog. The blog was later rebranded in early 2016, but the look and feel stayed the same. Back in 2014 I started The Polyglot Developer on WordPress with the intention of documenting what I learn and helping others in the process.
From SQL Server 2016 onward, FastLoadContext is enabled by default ; the trace flag is not required. For more background, see the Data Performance Loading Guide and the Tiger Team notes on the behaviour changes for SQL Server 2016. FastLoadContext can be disabled on SQL Server 2016 using documented trace flag 692. The sqllang!CUpdUtil::FOptimizeInsert
Continuing my series of articles on latches, this time I’m going to discuss the DBCC_OBJECT_METADATA latch and show how it can be a major bottleneck for consistency checks prior to SQL Server 2016 under certain circumstances. But remember, this bottleneck only happens for versions of SQL Server earlier than SQL Server 2016.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content